很多用激素退烧的，很快觉得没事回家了，但是那是症状被撤销了，症状是怎么来的？是免疫系统战斗来的，用 ...
我不是医生，无法给你答案。不过，提醒一下，你回复的引文不是张文宏说的，是复旦大学附属中山医院感染病科主任胡必杰说的。文章来自观察者网。 老福 发表于 2023-1-9 11:37
我不是医生，无法给你答案。不过，提醒一下，你回复的引文不是张文宏说的，是复旦大学附属中山医院感染病 ...
推荐用一大堆激素好像张先生明明白白写在上文里吧？ 老福 发表于 2023-1-9 01:54
张文宏有点大嘴巴，讲话风格确实不太讨搞科研的同学喜欢。但是呢，给社区医生普及治疗方案，就有点像TG动 ...
社区医生是有执业医师证的专业人士。同时，因为没有用过这些药物，的确需要培训。他们最不需要的就是这种哗众取宠，过度简化的“培训”。这是对他们专业素质的侮辱。
临床应用药物，搞清楚适应症和禁忌症是极为重要的，怎么能这么简化呢。此处我不否认p药有效，应在合适的情况下使用。能救一命也是好的。 老福 发表于 2023-1-9 10:00
看到另一篇讨论新冠治疗方案的，其中涉及到激素的使用问题。（原文：新冠到底该怎么治？村医和专家展开了 ...
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00018-8/fulltext#seccestitle150
看一下这一篇。我不会贴图。
易水 发表于 2023-1-9 03:58
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00018-8/fulltext#seccestitle150 ...
太长，晚一点到电脑上分两部分贴出来
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00018-8/fulltext#seccestitle150
张文宏医生现在受到中央力挺，怼他的被禁、或自己删文等等。 易水 发表于 2023-1-9 16:29
社区医生是有执业医师证的专业人士。同时，因为没有用过这些药物，的确需要培训。他们最不需要的就是这种 ...
上海中山医院感染科胡主任说过激素疗法写入了上海基层治疗方案，相信在培训中人手一册，其中禁忌副作用肯定清清楚楚，所以我不担心张文宏在培训中的讲法会有大的副作用。正如你所说，社区医生也受过基本的医学教育，是专业人士。
把张文宏的内部培训讲话发布到公众平台，在缺乏医学知识的群体里，是有可能造成一定的误解，但这并非张文宏所为，也就没有相应的责任。 nukearchie 发表于 2023-1-9 15:21
推荐用一大堆激素好像张先生明明白白写在上文里吧？
能不能明示张医生哪一句说大量使用激素的，他只说了吊水5毫克地米，第一次以后口服剂量类似。这个推荐是大剂量吗? 老福 发表于 2023-1-9 21:09
能不能明示张医生哪一句说大量使用激素的，他只说了吊水5毫克地米，第一次以后口服剂量类似。这个推荐是 ...
5mg地米，相当于133mg氢化可的松，比常用的大剂量冲击疗法略低，但高于一般剂量。 indy 发表于 2023-1-9 06:19
太长，晚一点到电脑上分两部分贴出来
(PART I)
SummaryBackgroundDexamethasone was the first intervention proven to reduce mortality in patients with COVID-19 being treated in hospital. We aimed to evaluate the adoption of corticosteroids in the treatment of COVID-19 in the UK after the RECOVERY trial publication on June 16, 2020, and to identify discrepancies in care.
MethodsWe did an audit of clinical implementation of corticosteroids in a prospective, observational, cohort study in 237 UK acute care hospitals between March 16, 2020, and April 14, 2021, restricted to patients aged 18 years or older with proven or high likelihood of COVID-19, who received supplementary oxygen. The primary outcome was administration of dexamethasone, prednisolone, hydrocortisone, or methylprednisolone. This study is registered with ISRCTN, ISRCTN66726260.
FindingsBetween June 17, 2020, and April 14, 2021, 47 795 (75·2%) of 63 525 of patients on supplementary oxygen received corticosteroids, higher among patients requiring critical care than in those who received ward care (11 185 of 12 909 vs 36 415 of 50 278). Patients 50 years or older were significantly less likely to receive corticosteroids than those younger than 50 years (adjusted odds ratio 0·79 , p=0·0001, for 70–79 years; 0·52 , p<0·0001, for >80 years), independent of patient demographics and illness severity. 84 (54·2%) of 155 pregnant women received corticosteroids. Rates of corticosteroid administration increased from 27·5% in the week before June 16, 2020, to 75–80% in January, 2021.
InterpretationImplementation of corticosteroids into clinical practice in the UK for patients with COVID-19 has been successful, but not universal. Patients older than 70 years, independent of illness severity, chronic neurological disease, and dementia, were less likely to receive corticosteroids than those who were younger, as were pregnant women. This could reflect appropriate clinical decision making, but the possibility of inequitable access to life-saving care should be considered.
FundingUK National Institute for Health Research and UK Medical Research Council.
• View related content for this article
IntroductionDuring the COVID-19 pandemic, several large-scale trials have attempted to identify life-saving therapies. Currently, the most robust recommendations are for corticosteroids.1
Dexamethasone is a readily available, commonly used, and cheap intervention2
that decreased all-cause 28-day mortality in adult patients (aged ≥18 years) admitted to hospital with COVID-19 by an absolute risk reduction of 2·8% in the open-label Randomized Evaluation of COVID-19 Therapy (RECOVERY) trial.3
Greater benefit was found in patients on higher levels of respiratory support and, importantly, there was possibility of harm in those not receiving oxygen therapy.3
On June 16, 2020, when preliminary results from RECOVERY were published,4
UK clinical guidelines were updated to recommend low-dose oral or intravenous corticosteroids—dexamethasone, prednisolone, methylprednisolone, or hydrocortisone—to patients with COVID-19 requiring supplementary oxygen.5
On Sept 2, 2020, the Rapid Evidence Appraisal for COVID-19 (REACT) meta-analysis of critically ill patients with COVID-19 showed lower mortality associated with administration of corticosteroids than with standard care (summary odds ratio 0·66).6
The next day, the UK National Institute for Health and Care Excellence (NICE) and WHO published guidelines recommending oral or intravenous administration of 6 mg dexamethasone for up to 10 days to patients with severe or critical COVID-19, defined by oxygen saturation (SpO2) of less than 90%, a respiratory rate of more than 30 breaths per min, sepsis, septic shock, acute respiratory distress syndrome, mechanical ventilation, vasopressor therapy, or signs of severe respiratory distress.7
Months later, on April 8, 2021, NICE updated their guideline to recommend corticosteroids for all patients requiring supplementary oxygen, noting “the need for clear and unambiguous terminology”.8
Research in contextEvidence before this studyWe searched PubMed for primary research articles documenting changes in rates of corticosteroid administration in COVID-19 over time, published between June 16, 2020, and July 8, 2021, with no language restrictions and using the search terms (“SARS-CoV-2” OR “COVID-19”) AND (“corticosteroids” OR “steroids” OR “dexamethasone”). Of the 1985 studies identified, most focused on the relationship between corticosteroids and outcome, led by the RECOVERY trial. We found no studies that documented changes in corticosteroid administration over time or those that identified differential administration between patient groups. Understanding the implementation of corticosteroids and identifying groups of patients who are systematically less likely to be prescribed steroids are essential to ensure that this cheap and effective medication is available to all eligible patients.Added value of this studyAlthough randomised controlled trials have convincingly shown the mortality benefit of corticosteroids for patients on supplemental oxygen, no studies have previously looked at whether this evidence has translated into clinical practice. We have shown that the majority of patients on oxygen in UK hospitals have been prescribed corticosteroids. However, we found that corticosteroid administration was significantly lower for patients older than 70 years, and this low uptake could not be explained by other factors associated with lower rates of steroid administration, such as dementia, clinical frailty, and treatment escalation decisions.Implications of all the available evidenceThe quick implementation of one of the only mortality-reducing therapies for COVID-19 has been very successful in the UK. However, the potential inequities in administration that we have found are extremely important for individual, local, and global health-care communities to evaluate their practices in treating COVID-19 and to ensure all eligible patients receive the best available treatment.
A modelling study estimated that corticosteroids could save approximately 12 000 lives between July and December, 2020, in the UK.9
However, for this treatment to save lives it has to be successfully implemented. As implementation of a new intervention relies on behavioural change, it benefits from an understanding of baseline behaviours and detailed and explicit recommendations that consider factors relevant to decision making.10
Common challenges include complexity of the intervention and difficulty gaining consensus with colleagues.10
Success in implementing a new intervention is usually defined as an uptake of 80–90%.11
As of May, 2021, only an intermediate report from October, 2020, from the International Severe Acute Respiratory and Emerging Infections Clinical Characterisation Protocol UK (ISARIC4C CCP-UK) investigators had explored corticosteroid uptake in the UK, estimating that 55% of adult patients on oxygen in hospital had received corticosteroids.12
It is unknown how the changing guidelines and potential barriers have affected the transition from evidence to practice. We aimed to evaluate the implementation of corticosteroids into UK clinical practice since the announcement of the RECOVERY trial findings.
MethodsStudy design and participantsWe did an audit of clinical implementation using data from the ISARIC WHO Clinical Characterisation Protocol UK (CCP-UK), a prospective, observational cohort study representing nearly half of UK COVID-19 hospital admissions.13
We included patients aged 18 years or older who were admitted to 237 acute general hospitals with PCR-confirmed COVID-19 (or with high likelihood of disease if supporting PCR results were not available) from assumed community-acquired infection between March 16, 2020, and April 14, 2021. Community-acquired infection was defined as symptom onset 5 days or less after admission to hospital. Patients who received any supplementary oxygen at any point during their hospital stay were included in analyses.
Patient data, including patient demographics, comorbidities, treatments, complications, and outcomes, were recorded into the secure REDCap database. The detailed study protocol and ethics approval are described elsewhere.13
Under the Control of Patient Information notice 2020 for urgent public health research, processing of demographic and routine clinical data from medical records for research does not require consent in England and Wales.14
In Scotland, a waiver for consent was obtained from the Public Benefit and Privacy Panel.15
Reporting of this study conforms to the STROBE statement.16
VariablesWe collected information using the ISARIC4C case report form for key variables, including age (categorised into <50 years, 50–59 years, 60–69 years, 70–79 years, and ≥80 years, corresponding to the ISARIC4C Mortality Score17
categories), sex, self-reported ethnicity, deprivation (according to the Index of Multiple Deprivation, with the first quintile being the least deprived and the fifth quintile the most deprived), Clinical Frailty Score (scores of 1–2 indicate fit, 3–4 indicate vulnerable, but not frail, 5–6 indicate initial signs of frailty but with some degree of independence, and 7–9 indicate severe or very severe frailty),18
and comorbidities (presence of any one or more of hypertension, chronic cardiac disease non-asthmatic chronic pulmonary disease, asthma, type 1 diabetes, type 2 diabetes, obesity, chronic neurological disease, dementia, chronic kidney disease, moderate or severe liver disease, mild liver disease, malignancy, rheumatological disease, pre-admission immunosuppressants including corticosteroids, and HIV/AIDS). Physiological parameters of the ISARIC4C Mortality Score (SpO2, respiratory rate, C-reactive protein , blood urea nitrogen, Glasgow Coma Scale score)17
within 24 h of hospital admission were used as markers of illness severity. Admitting hospitals were mapped to the NHS regions to create the NHS region variable. These are reported for the patients with moderate or severe COVID-19 to account for the differences in patient cohort severity and thus eligibility for corticosteroid therapy. The ISARIC4C case report form collected information on whether or not patients had an admission to an intensive care or high dependency unit (these were not separated). We further categorised patients in critical care by receipt of invasive ventilation. The any oxygen variable represents patients who were recorded to receive any supplementary oxygen or any invasive ventilation (this was assumed to involve supplementary oxygen), or to have daily fraction FiO2 of more than 0·21 on any day of hospital admission. Corticosteroid administration, maximum level of respiratory support (no oxygen, supplemental oxygen, non-invasive ventilation, or invasive mechanical ventilation), and critical care admission were recorded at any timepoint during admission. We have provided further detail on variables in the appendix (pp 1–2).
Patients were recorded to have symptoms at admission if they reported any one or more of the following: cough, fever, sore throat, runny nose, ear pain, wheezing, chest pain, myalgia, joint pain, fatigue, shortness of breath, disturbance or loss of taste, lower chest wall indrawing, headache, altered consciousness or confusion, seizures, abdominal pain, vomiting or nausea, diarrhoea, conjunctivitis, skin rash, skin ulcers, lymphadenopathy, bleeding, or anosmia. If none of these were reported, patients were considered to be asymptomatic.
Corticosteroid treatment was recorded as a free text entry, which we interpreted using an algorithm described in the appendix (p 1) and checked manually. Dexamethasone and hydrocortisone, and prednisolone in pregnant women, are recommended by NICE,8
but methylprednisolone is also considered an appropriate alternative to these drugs.1
We created a variable, any corticosteroid, signifying administration of any of these corticosteroids during the admission; patients were therefore stratified by those who received once-daily 6 mg dexamethasone orally or intravenously, those who received any dose or frequency of dexamethasone, those who received any corticosteroid, and those who received none.
COVID-19 severitySince the initial guidance considered all patients requiring supplementary oxygen to be eligible for corticosteroid treatment,5
we primarily investigated corticosteroid administration in patients recorded to have received supplementary oxygen. To account for the severity criteria added in September, 2020, we further categorised these patients into those with mild COVID-19, moderate COVID-19, or severe COVID-19 by clinical severity on hospital admission. Severe COVID-19 reflects the WHO criteria:2
SpO2 of less than 90% or a respiratory rate of more than 30 breaths per min. Moderate COVID-19 includes patients with clinical respiratory distress (respiratory rate >20 breaths per min) and SpO2 threshold for supplementary oxygen (<94%).19
Patients not fulfilling these criteria might have transiently received oxygen at admission with minimal respiratory distress, whom we categorised as having mild COVID-19. The appendix (pp 16–20) shows the severity stratification of patients by various severity markers, demographics, and comorbidities.
OutcomesWe defined two time-based cohorts: admissions between March 16 and June 16, 2020 (baseline cohort), and between June 17, 2020, and April 14, 2021 (after the RECOVERY press release4
and allowing 28-day follow-up; second cohort).
The primary outcome was the proportion of patients in the second cohort who received any oral or intravenous corticosteroid (dexamethasone, prednisolone, hydrocortisone, or methylprednisolone). Patients who received supplementary oxygen were considered eligible, but we also explored the effect of the COVID-19 severity criteria. The secondary outcome was the change in administration of corticosteroids before (ie, in the baseline cohort) and after the publication of the RECOVERY trial results (ie, the second cohort), in relation to the RECOVERY trial and NICE guidance. The second cohort was further characterised and studied for factors associated with corticosteroid administration.
Statistical analysisContinuous data are summarised as median (IQR) and categorical data as frequency (percentage). We used statistical disclosure control measures to protect patient confidentiality and anonymity. Cells with fewer than five patients were either removed or replaced with not applicable or merged with other levels manually (not applicable could be 0 or suppressed).
We modelled corticosteroid use with a multiple logistic regression model, adjusting for demographic variables and variables previously shown to be associated with disease severity: age, sex, ethnicity, deprivation quintile, and comorbidities (hypertension, chronic cardiac disease, non-asthmatic chronic pulmonary disease, asthma, diabetes, chronic neurological disease, dementia, chronic kidney disease, moderate or severe liver disease, mild liver disease, malignancy, rheumatological disease, pre-admission immunosuppressants, and HIV/AIDS), with the aim to explain corticosteroid implementation. We also adjusted for time (week of admission) and the COVID-19 severity criteria. The model was built using a parsimonious criterion-based approach.20
This approach incorporated geographical clustering of patients through the inclusion of a random effect at the level of the admitting hospital, checking for all first-order interactions, including the effect of time (week of admission as linear and quadratic terms), and final model selection by the Akaike information criterion. We report C statistics as measures of model discrimination. We set statistical significance at 5%. We checked that the data were coded correctly, which identified the potential erroneous coding of all patients in some hospitals with an intensive care unit admission. We excluded these patients from the analysis. We identified missing values within each variable and analysed the patterns of missingness. We visually checked for associations between missing and observed data. For patients whose postcodes were missing, we used the average Index of Multiple Deprivation rank, weighted by population in each lower super output area for a given hospital catchment area. We considered comorbidity indicated as unknown as no comorbidity. We considered corticosteroid administration reported missing as no corticosteroid and did a sensitivity analysis of patients with a yes versus no entry.
We acknowledge the missing data in all our tables but did not perform any imputation for missing data, as given the nature of the study, the analysis team had concerns around interpretation if the corticosteroid administration were to be imputed.
We checked data for patterns of missingness, indicate missing data in the study tables, and describe missing data in the appendix (pp 6–29). The denominator for explanatory variables, such as comorbidities, is the number of patients with completed entries. The proportion of patients receiving any corticosteroid is reported as a percentage of the total number of participants, with the denominator including participants with missing corticosteroid entry.
We did sensitivity analyses: complete case analysis excluding patients with missing corticosteroid administration data, patients with recorded PCR-positive COVID-19, and a cohort excluding participants with an outcome of death or palliative discharge recorded within 2 days of admission to account for patients who might have been identified as palliative from the beginning and therefore not started on corticosteroid treatment. Frailty was only collected from Aug 1, 2020, onwards, and we did a sensitivity analysis for patients with frailty recorded.
We did an interrupted time-series analysis using segmented regression, with the timepoint of interest being June 16, 2020, when the RECOVERY trial findings and subsequent UK clinical guidance were published.4
, 5
The primary question was whether a change in absolute values (intercept) existed after the timepoint of interest. We considered time periods before (from March 16, 2020, to June 16, 2020; baseline cohort) and after (from June 17, 2020, and April 14, 2021; second cohort), for which we tested and reported trend lines with estimated 95% CIs. We investigated two subgroups with lower corticosteroid prescribing rates: patients with moderate or severe COVID-19 who were 80 years or older, or pregnant.
We undertook sensitivity analyses to evaluate the validity of these criteria relative to other reported severity markers,17
including CRP and fraction of inspired oxygen (FiO2). Aiming to avoid analysis of patients not requiring oxygen, and for whom there is a conditional recommendation against the use of corticosteroids,8
we modelled the factors associated with corticosteroid administration only in patients with moderate or severe COVID-19.
We analysed data using R (version 3.6.3), with packages including tidyverse, finalfit, and gridExtra.
Role of the funding sourceThe funders of this study had no role in the study design, data collection, data analysis, data interpretation, writing of the report, or the decision to submit for publication.
ResultsISARIC WHO CCP-UK enrolled 106 021 patients between June 17, 2020, and April 14, 2021 (figure 1). Of 96 708 eligible patients with COVID-19, 63 525 (65·7%) received supplementary oxygen and were included in analyses (figure 1; appendix pp 6–10). Of patients receiving oxygen, 16 593 (26·1%) had mild COVID-19, 26 776 (42·2%) had moderate COVID-19, and 19 600 (30·9%) had severe COVID-19 (figure 1).https://www.thelancet.com/cms/attachment/139f4500-5ffe-43b8-a691-9f0369d1b153/gr1.gifFigure 1Trial profile
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The proportion of patients on oxygen receiving corticosteroids increased from June, 2020, across levels of care and COVID-19 severity categories, with a clear step up in corticosteroid administration occurring immediately, and a subsequent continuing improvement plateauing in October, 2020 (figure 2). The intercepts of the segmented regression for daily proportion of patients on oxygen receiving any corticosteroid before and after June 16, 2020, showed a significant increase from 0·29 (95% CI 0·27–0·31) to 0·49 (0·47–0·52; p<0·0001; figure 3) This result parallels the observed increase in weekly proportion of patients receiving corticosteroids after publication of the RECOVERY trial results (appendix pp 49–50),4
which was similar across NHS regions (appendix p 51).https://www.thelancet.com/cms/attachment/ced04c97-2e5a-48bf-8cfa-9fa90f56e7f2/gr2.jpgFigure 2Corticosteroid administration in patients between the June 8, 2020, and April 14, 2021, stratified by supplementary oxygen, level of care, and COVID-19 severity at hospital admission
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https://www.thelancet.com/cms/attachment/d0e2855c-3bf8-4b38-93ee-525bb98f75f4/gr3.jpgFigure 3Fitted lines of the linear regression model for corticosteroid administration to patients who required oxygen, admitted to hospital between March 16, 2020, and April 18, 2021
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Of the 63 525 patients on oxygen, 42 442 (66·8%) received 6 mg dexamethasone once daily, 47 795 (75·2%) received any corticosteroid, 13 251 (20·9%) received no corticosteroid, and 2479 (3·9%) had missing corticosteroid data (table 1). Of the 47 795 patients who received any corticosteroid, 42 442 (88·8%) received 6 mg dexamethasone once daily, 4313 (9·0%) received another or unknown dose or frequency of dexamethasone, 558 (1·2%) received hydrocortisone, 456 (1·0%) received prednisolone, and 26 (0·1%) received methylprednisolone. Patients who received any corticosteroid were younger than those who received none (table 1).Table 1Baseline characteristics of patients admitted between June 17, 2020, and April 14, 2021, who received supplementary oxygen at any point in their admission, stratified by corticosteroid administration
6 mg once-daily dexamethasone group (n=42 442)Any corticosteroid group*
(n=47 795)No corticosteroid group (n=13 251)Missing corticosteroid group (n=2479)
Patient demographics
PCR-positive COVID-1938 424 (90·5%)43 287 (90·6%)11 927 (90·0%)1265 (51·0%)
Age on admission, years (n=63 525)68·0 (55·7–79·3)68·1 (55·7–79·4)77·8 (64·3–85·9)70·5 (56·6–81·2)
Age, years
<506584 (15·5%)7431 (15·5%)1418 (10·7%)358 (14·4%)
50–597729 (18·2%)8625 (18·0%)1244 (9·4%)408 (16·5%)
60–698602 (20·3%)9567 (20·0%)1652 (12·5%)449 (18·1%)
70–799517 (22·4%)10 786 (22·6%)3088 (23·3%)592 (23·9%)
≥8010 010 (23·6%)11 386 (23·8%)5849 (44·1%)672 (27·1%)
Sex (n=63 435)
Female17 285/42 380 (40·8%)19 558/47 723 (41·0%)6483/13 238 (49·0%)1039/2474 (42·0%)
Male25 095/42 380 (59·2%)28 165/47 723 (59·0%)6755/13 238 (51·0%)1435/2474 (58·0%)
Ethnicity
White29 880/36 897 (81·0%)33 663/41 515 (81·1%)10 304/11 659 (88·4%)1551/1821 (85·2%)
South Asian2972/36 897 (8·1%)3325/41 515 (8·0%)518/11 659 (4·4%)61/1821 (3·3%)
East Asian229/36 897 (0·6%)248/41 515 (0·6%)41/11 659 (0·4%)11/1821 (0·6%)
Black982/36 897 (2·7%)1111/41 515 (2·7%)202/11 659 (1·7%)46/1821 (2·5%)
Other ethnic minority2834/36 897 (7·7%)3168/41 515 (7·6%)594/11 659 (5·1%)152/1821 (8·3%)
Pregnancy (only recorded for women aged 12–55 years)
No3498/3582 (97·7%)3931/4051 (97·0%)772/937 (82·4%)165/183 (90·2%)
Yes84/3582 (2·3%)120/4051 (3·0%)165/937 (17·6%)18/183 (9·8%)
NHS region
East of England4101/42 164 (9·7%)4856/47 484 (10·2%)1775/13 172 (13·5%)170/2453 (6·9%)
London3260/42 164 (7·7%)3634/47 484 (7·7%)625/13 172 (4·7%)120/2453 (4·9%)
Midlands8986/42 164 (21·3%)10 346/47 484 (21·8%)3104/13 172 (23·6%)311/2453 (12·7%)
North East and Yorkshire6774/42 164 (16·1%)7703/47 484 (16·2%)1883/13 172 (14·3%)186/2453 (7·6%)
Northern Ireland58/42 164 (0·1%)61/47 484 (0·1%)NANA
North West8172/42 164 (19·4%)9042/47 484 (19·0%)2477/13 172 (18·8%)366/2453 (14·9%)
Scotland946/42 164 (2·2%)1002/47 484 (2·1%)196/13 172 (1·5%)86/2453 (3·5%)
South East5336/42 164 (12·7%)5914/47 484 (12·5%)1826/13 172 (13·9%)946/2453 (38·6%)
South West3436/42 164 (8·1%)3679/47 484 (7·7%)940/13 172 (7·1%)255/2453 (10·4%)
Wales1095/42 164 (2·6%)1247/47 484 (2·6%)346/13 172 (2·6%)13/2453 (0·5%)
Severity of illness at admission
Oxygen saturation (SpO2), % (n=62 726)92·0% (89·0–95·0)92·0% (89·0–95·0)94·0% (92·0–96·0)93·0% (90·0–95·0)
Respiratory rate, breaths per min (n=59 739)22·0 (20·0–28·0)22·0 (20·0–28·0)20·0 (18·0–24·0)22·0 (19·0–26·0)
C-reactive protein, mg/dL (n=50 470)93·0 (49·0–156·4)93·0 (49·0–157·0)52·2 (18·0–112·0)87·0 (39·0–150·0)
Blood urea nitrogen, mg/dL (n=50 591)6·5 (4·7–9·7)6·6 (4·7–9·8)7·3 (5·0–11·5)6·8 (4·8–10·6)
Glasgow coma scale†
1537 408/40 675 (92·0%)41 738/45 724 (91·3%)10 919/12 467 (87·6%)2006/2274 (88·2%)
<153267/40 675 (8·0%)3986/45 724 (8·7%)1548/12 467 (12·4%)268/2274 (11·8%)
Highest fraction of inspired oxygen (FiO2) on day of hospital admission (n=59 026)0·32 (0·24–0·50)0·32 (0·24–0·50)0·21 (0·21–0·28)0·32 (0·24–0·50)
Severity criteria
Mild COVID-198575/42 155 (20·3%)9757/47 470 (20·6%)6095/13 095 (46·5%)741/2404 (30·8%)
Moderate COVID-1919 092/42 155 (45·3%)21 165/47 470 (44·6%)4608/13 095 (35·2%)1003/2404 (41·7%)
Severe COVID-1914 488/42 155 (34·4%)16 548/47 470 (34·9%)2392/13 095 (18·3%)660/2404 (27·5%)
Comorbidities
Any comorbidity
No6766/40 263 (16·8%)7446/45 376 (16·4%)1299/12 608 (10·3%)293/1671 (17·5%)
Yes33 497/40 263 (83·2%)37 930/45 376 (83·6%)11 309/12 608 (89·7%)1378/1671 (82·4%)
Hypertension18 304/39 059 (46·9%)20 633/43 959 (46·9%)6155/12 033 (51·2%)680/1501 (45·3%)
Chronic cardiac disease10 268/39 118 (26·2%)11 650/44 069 (26·4%)4578/12 173 (37·6%)406/1558 (26·1%)
Non-asthmatic chronic pulmonary disease6540/39 133 (16·7%)7581/44 087 (17·2%)2388/12 154 (19·6%)261/1549 (16·8%)
Asthma6374/39 121 (16·3%)7256/44 078 (16·5%)1594/12 112 (13·2%)230/1541 (14·9%)
Type 1 diabetes797/38 651 (2·1%)894/43 555 (2·1%)314/11 964 (2·6%)53/1520 (3·5%)
Type 2 diabetes10 737/38 651 (27·8%)12 035/43 555 (27·6%)3131/11 964 (26·2%)391/1520 (25·7%)
Obesity7008/34 893 (20·1%)7846/39 170 (20·0%)1217/10 484 (11·6%)222/1369 (16·2%)
Chronic neurological disease3460/38 932 (8·9%)3992/43 848 (9·1%)1696/12 051 (14·1%)143/1543 (9·3%)
Dementia2989/38 847 (7·7%)3472/43 763 (7·9%)2058/11 920 (17·3%)122/1527 (8·0%)
Chronic kidney disease5329/39 017 (13·7%)6059/43 943 (13·8%)2506/12 119 (20·7%)219/1553 (14·1%)
Moderate or severe liver disease490/38 802 (1·3%)573/43 711 (1·3%)315/11 984 (2·6%)24/1536 (1·6%)
Mild liver disease583/38 697 (1·5%)661/43 578 (1·5%)238/11 930 (2·0%)27/1534 (1·8%)
Malignancy3017/38 938 (7·7%)3627/43 860 (8·3%)1518/12 041 (12·6%)123/1542 (8·0%)
Rheumatological disease4339/38 828 (11·2%)4982/43 754 (11·4%)1788/11 998 (14·9%)149/1529 (9·7%)
Pre-admission immunosuppressants, including corticosteroids4288/39 393 (10·9%)5264/44 314 (11·9%)1075/12 131 (8·9%)134/1419 (9·4%)
HIV/AIDS127/38 118 (0·3%)155/42 942 (0·4%)45/11 742 (0·4%)3/1510 (0·2%)
Data are n (%), median (IQR), or n/N %). Percentages are from complete cases and read vertically. Missing data from explanatory variables are omitted here and included in the appendix (pp 11–15). Percentages might not sum to 100 due to rounding. NA=not applicable (0 patients or suppressed).
* The any corticosteroid group includes 42 442 (88·8%) of 47 795 patients who received oral or intravenous dexamethasone 6 mg once daily, 3895 (8·1%) who received another or unknown dose or frequency of dexamethasone, 509 (1·1%) who received hydrocortisone, 406 (0·8%) who received prednisolone, and 24 (0·1%) who received methylprednisolone.
† A score of 15 indicates a fully awake state, and a score of less than 15 indicates any deficit in either the eye, motor, or verbal response used to assess conscious level.
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Patients receiving any corticosteroid had a higher CRP than patients who did not receive corticosteroids, among other severity markers on admission (table 1). Patients receiving corticosteroids were more likely to have asthma and obesity, but less likely to have most other comorbidities, including chronic cardiac disease, chronic kidney disease, dementia, and chronic neurological disease (table 1). Of 44 314 patients receiving any corticosteroid, 5264 (11·9%) received some immunosuppressant medication (eg, oral corticosteroids or disease-modifying antirheumatic drugs) pre-admission (table 1).
Corticosteroid administration was higher among patients admitted to critical care (11 185 of 12 909) or requiring invasive ventilation (4882 of 5730) than in patients receiving ward-level care (36 415 of 50 278; figure 2; appendix pp 11–15). Of 27 226 patients not recorded to have received supplementary oxygen at any point during the hospital stay 4173 (15·3%) received corticosteroids (appendix pp 6–10).
Corticosteroid administration increased with higher COVID-19 severity: 9757 (58·8%) of 16 593 patients with mild COVID-19, 21 165 (79·0%) of 26 776 patients with moderate COVID-19, and 16 548 (84·4%) of 19 600 patients with severe COVID-19 received corticosteroids (figure 1).
Among 46 376 patients with moderate or severe COVID-19, 37 713 (81·3%) received any corticosteroid. Patients not receiving corticosteroids were older than those receiving corticosteroids (table 2). As among patients who received supplementary oxygen, patients with moderate or severe COVID-19 who had any corticosteroid had lower frequencies of chronic heart disease, chronic kidney disease, chronic neurological disease, and dementia than those who had no corticosteroid. In addition, of 591 patients with moderate or severe liver disease, 421 (71·2%) received corticosteroids. Rates of corticosteroid administration ranged from 4735 (74·8%) of 6333 patients in South East NHS regions to 3126 (88·1%) of 3550 patients in London NHS regions (table 2).Table 2Patients who received oxygen at any point in their admission and classified as having moderate or severe COVID-19 between June 17, 2020, and April 14, 2021, stratified by corticosteroid administration
Any corticosteroid group*
(n=37 713)No corticosteroid group (n=7000)Missing corticosteroid group (n=1663)
Patient demographics
PCR-positive COVID-1934 158/41 212 (82·9%)6259/41 212 (15·2%)795/41 212 (1·9%)
Age on admission, years (n=46 376)67·3 (55·4–78·5)78·0 (66·0–86·0)69·6 (56·4–79·7)
Age, years
<506006/6867 (87·5%)619/6867 (9·0%)242/6867 (3·5%)
50–597037/7951 (88·5%)626/7951 (7·9%)288/7951 (3·6%)
60–697807/9041 (86·4%)922/9041 (10·2%)312/9041 (3·5%)
70–798543/10 690 (79·9%)1733/10 690 (16·2%)414/10 690 (3·9%)
≥808320/11 827 (70·3%)3100/11 827 (26·2%)407/11 827 (3·4%)
Sex
Female15 141/19 125 (79·2%)3317/19 125 (17·3%)667/19 125 (3·5%)
Male22 518/27 186 (82·8%)3674/27 186 (13·5%)994/27 186 (3·7%)
Ethnicity
White26 261/32 734 (80·2%)5458/32 734 (16·7%)1015/32 734 (3·1%)
South Asian2793/3119 (89·5%)280/3119 (9·0%)46/3119 (1·5%)
East Asian209/246 (85·0%)28/246 (11·4%)9/246 (3·7%)
Black912/1044 (87·4%)100/1044 (9·6%)32/1044 (3·1%)
Other ethnic minority2606/3020 (86·3%)298/3020 (9·9%)116/3020 (3·8%)
Pregnant (only recorded for women aged 12–55 years)
No3159/3597 (87·8%)328/3597 (9·1%)110/3597 (3·1%)
Yes84/155 (54·2%)61/155 (39·4%)10/155 (6·5%)
NHS region
East of England3728/4765 (78·2%)918/4765 (19·3%)119/4765 (2·5%)
London3126/3550 (88·1%)331/3550 (9·3%)93/3550 (2·6%)
Midlands8021/9888 (81·1%)1648/9888 (16·7%)219/9888 (2·2%)
North East and Yorkshire5997/7132 (84·1%)984/7132 (13·8%)151/7132 (2·1%)
Northern Ireland50/52 (96·2%)NANA
North West7146/8661 (82·5%)1269/8661 (14·7%)246/8661 (2·8%)
Scotland759/914 (83·0%)97/914 (10·6%)58/914 (6·3%)
South East4735/6333 (74·8%)1012/6333 (16·0%)586/6333 (9·3%)
South West2862/3507 (81·6%)487/3507 (13·9%)158/3507 (4·5%)
Wales1044/1265 (82·5%)210/1265 (16·6%)11/1265 (0·9%)
Severity of illness at admission
Oxygen saturation (SpO2), % (n=46 217)91·0% (88·0–93·0)92·0% (89·0–94·0)91·0% (88·0–93·0)
Respiratory rate, breaths per min (n=44 608)24·0 (21·0–28·0)23·0 (20·0–28·0)24·0 (20·0–28·0)
C-reactive protein, mg/dL (n=38 643)99·0 (53·0–164·0)63·0 (24·3–127·0)96·0 (47·0–163·0)
Blood urea nitrogen, mg/dL (n=38 396)6·6 (4·8–9·9)7·7 (5·2–12·1)7·0 (4·9–10·6)
Glasgow coma scale†
1533 136/40 165 (82·5%)5643/40 165 (14·0%)1386/40 165 (3·5%)
<153198/4375 (73·1%)1003/4375 (22·9%)174/4375 (4·0%)
Highest fraction of inspired oxygen (FiO2) (n=43 696)0·32 (0·24–0·60)0·24 (0·21–0·32)0·32 (0·24–0·60)
Comorbidities
Any comorbidity
No5957/6760 (88·1%)587/6760 (8·7%)216/6760 (3·2%)
Yes30 253/37 425 (80·8%)6187/37 425 (16·5%)985/37 425 (2·6%)
Hypertension16 382/20 242 (80·9%)3371/20 242 (16·7%)489/20 242 (2·4%)
Chronic cardiac disease9105/11 967 (76·1%)2578/11 967 (21·5%)284/11 967 (2·4%)
Non-asthmatic chronic pulmonary disease6668/8599 (77·5%)1718/8599 (20·0%)213/8599 (2·5%)
Asthma5953/7072 (84·2%)947/7072 (13·4%)172/7072 (2·4%)
Type 1 diabetes693/875 (79·2%)145/875 (16·6%)37/875 (4·2%)
Type 2 diabetes9645/11 731 (82·2%)1798/11 731 (15·3%)288/11 731 (2·5%)
Obesity6674/7563 (88·2%)726/7563 (9·6%)163/7563 (2·2%)
Chronic neurological disease2985/4000 (74·6%)919/4000 (23·0%)96/4000 (2·4%)
Dementia2559/3788 (67·6%)1144/3788 (30·2%)85/3788 (2·2%)
Chronic kidney disease4617/6134 (75·3%)1366/6134 (22·3%)151/6134 (2·5%)
Mild liver disease522/645 (80·9%)105/645 (16·3%)18/645 (2·8%)
Moderate or severe liver disease421/591 (71·2%)154/591 (26·1%)16/591 (2·7%)
Malignancy2742/3615 (75·9%)795/3615 (22·0%)78/3615 (2·2%)
Rheumatological disease3869/4960 (78·0%)974/4960 (19·6%)117/4960 (2·4%)
Pre-admission immunosuppressants, including corticosteroids4299/5079 (84·6%)678/5079 (13·3%)102/5079 (2·0%)
HIV/AIDS117/141 (83·0%)21/141 (14·9%)<5/141 (<5%)
Data are n/N (%) or median (IQR). Proportions read horizontally. Percentages might not sum to 100 due to rounding.
* The any corticosteroid group includes 33 580 (89·0%) of 33 713 patients who received oral or intravenous dexamethasone 6 mg once daily, 3366 (8·9%) who received another or unknown dose or frequency of dexamethasone, 392 (1·0%) who received hydrocortisone, 353 (0·9%) who received prednisolone, and 22 (0·1%) who received methylprednisolone.
† A score of 15 indicates a fully awake state, and a score of less than 15 indicates any deficit in either the eye, motor, or verbal response used to assess conscious level.
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Univariable and multivariable associations with corticosteroid administration are described in the appendix (pp 32–34). After adjusting for sex, deprivation quintile, ethnicity, comorbidities, and admitting hospital, increasing age was strongly associated with patients not receiving corticosteroids (figure 4). Other factors associated with lower rates of corticosteroid administration included chronic cardiac disease, non-asthmatic chronic pulmonary disease, chronic neurological disease, dementia, moderate or severe liver disease, and malignancy. We found no association with diabetes and rate of corticosteroid administration. Severe illness, male sex, obesity, and pre-admission immunosuppressants were associated with higher rates of corticosteroid administration. No relevant first-order interactions were identified or incorporated into the models. Week of admission (both linear and quadratic term) did not contribute significantly. C statistic, as a measure of model discrimination, was 0·743 (95% CI 0·736–0·751).https://www.thelancet.com/cms/attachment/9577d188-b96e-40f1-b84e-f5bf9d8aa459/gr4.jpgFigure 4Multivariable multilevel regression model of any corticosteroid administration among 30 670 patients with moderate or severe COVID-19 receiving supplementary oxygen and admitted to hospital between June 16, 2020, and April 14, 2021
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These results were consistent in the sensitivity analyses in which we excluded patients with missing corticosteroid (appendix pp 35–37), in patients with a recorded PCR-positive COVID-19 (appendix pp 38–40), and in which we excluded patients with death or palliative discharge within 2 days of admission (appendix pp 41–43). For the subgroup of 16 902 patients with recorded clinical frailty, significant associations with lower rates of corticosteroid prescribing included age 80 years or older (adjusted OR 0·80 , p=0·021), increasing clinical frailty, and the aforementioned comorbidities (appendix pp 44–48).
Corticosteroids were administered to 8320 (70·3%) of 11 827 patients aged 80 years or older with moderate or severe COVID-19 (table 3). Rates of corticosteroid administration varied across the NHS regions from 1071 (61·0%) of 1756 patients in NHS South East to 416 (80·3%) of 518 patients in NHS London (table 3). Rates increased with level of care: 6381 (68·0%) of 9387 patients on oxygen alone, 1320 (85·4%) of 1546 patients on non-invasive ventilation, 456 (85·4%) of 534 patients in critical care, and 64 (82·1%) of 78 patients invasively ventilated. Within this older cohort, the proportion receiving corticosteroids decreased with increasing Clinical Frailty Scale17
score, but less so with comorbidities: the pattern in specific comorbidities mirrored the overall cohort.Table 3Subgroup analysis of patients aged 80 years or older with moderate or severe COVID-19, admitted to hospital between June 17, 2020, and April 14, 2021
Any corticosteroid group*
(n=8320)No corticosteroid group (n=3100)Missing corticosteroid group (n=407)
Patient demographics
Age on admission, years (n=11 827)85·7 (82·8–89·5)86·9 (83·5–90·8)86·4 (83·6–90·3)
Sex
Female3865/5699 (67·8%)1623/5699 (28·5%)211/5699 (3·7%)
Male4442/6111 (72·7%)1473/6111 (24·1%)196/6111 (3·2%)
Ethnicity
White6666/9556 (69·8%)2607/9556 (27·3%)283/9556 (3·0%)
South Asian328/389 (84·3%)59/389 (15·2%)2/389 (0·5%)
East Asian26/31 (83·9%)4/31 (12·9%)1/31 (3·2%)
Black97/123 (78·9%)24/123 (19·5%)2/123 (1·6%)
Other ethnic minority323/420 (76·9%)85/420 (20·2%)12/420 (2·9%)
NHS region
East of England1026/1490 (68·9%)436/1490 (29·3%)28/1490 (1·9%)
London416/518 (80·3%)96/518 (18·5%)6/518 (1·2%)
Midlands1900/2692 (70·6%)734/2692 (27·3%)58/2692 (2·2%)
North East and Yorkshire1379/1901 (72·5%)491/1901 (25·8%)31/1901 (1·6%)
North West1462/2004 (73·0%)490/2004 (24·5%)52/2004 (2·6%)
Scotland126/168 (75·0%)34/168 (20·2%)8/168 (4·8%)
South East1071/1756 (61·0%)508/1756 (28·9%)177/1756 (10·1%)
South West649/905 (71·7%)211/905 (23·3%)45/905 (5·0%)
Wales227/310 (73·2%)82/310 (26·5%)1/310 (0·3%)
Severity of illness on admission
Oxygen saturation (SpO2), % (n=11 809)92·0% (88·0–94·0)92·0% (89·0–94·0)92·0% (88·0–93·0)
Respiratory rate, breaths per min (n=11 409)24·0 (20·0–28·0)22·0 (20·0–27·0)24·0 (20·0–27·0)
C-reactive protein, mg/dL (n=9346)89·0 (45·0–152·0)60·2 (24·0–123·0)77·0 (35·0–135·9)
Blood urea nitrogen, mg/dL (n=9408)9·6 (6·9–13·9)9·5 (6·7–14·8)9·4 (6·6–14·3)
Glasgow coma scale†
156722/9453 (71·1%)2409/9453 (25·5%)322/9453 (3·4%)
<151275/1903 (67·0%)562/1903 (29·5%)66/1903 (3·5%)
Highest fraction of inspired oxygen (FiO2; n=10 984)0·28 (0·24–0·40)0·24 (0·21–0·32)0·32 (0·24–0·40)
Severity criteria
Moderate COVID-194841/7182 (67·4%)2076/7182 (28·9%)265/7182 (3·7%)
Severe COVID-193479/4645 (74·9%)1024/4645 (22·0%)142/4645 (3·1%)
Comorbidities
Any comorbidity
No343/454 (75·6%)92/454 (20·3%)19/454 (4·2%)
Yes7697/10 868 (70·8%)2921/10 868 (26·9%)250/10 868 (2·3%)
Hypertension4848/6742 (71·9%)1762/6742 (26·1%)132/6742 (2·0%)
Chronic cardiac disease3908/5568 (70·2%)1551/5568 (27·9%)109/5568 (2·0%)
Non-asthmatic chronic pulmonary disease2095/2925 (71·6%)762/2925 (26·1%)68/2925 (2·3%)
Asthma1000/1369 (73·0%)337/1369 (24·6%)32/1369 (2·3%)
Type 1 diabetes133/181 (73·5%)41/181 (22·7%)7/181 (3·9%)
Type 2 diabetes2183/3001 (72·7%)756/3001 (25·2%)62/3001 (2·1%)
Obesity458/611 (75·0%)139/611 (22·7%)14/611 (2·3%)
Chronic neurological disease961/1433 (67·1%)440/1433 (30·7%)32/1433 (2·2%)
Dementia1755/2681 (65·5%)866/2681 (32·3%)60/2681 (2·2%)
Chronic kidney disease2281/3205 (71·2%)852/3205 (26·6%)72/3205 (2·2%)
Mild liver disease66/93 (71·0%)27/93 (29·0%)0
Moderate or severe liver disease62/102 (60·8%)36/102 (35·3%)4/102 (3·9%)
Malignancy1017/1467 (69·3%)414/1467 (28·2%)36/1467 (2·5%)
Rheumatological disease1295/1900 (68·2%)561/1900 (29·5%)44/1900 (2·3%)
Pre-admission immunosuppressants, including corticosteroids906/1163 (77·9%)228/1163 (19·6%)29/1163 (2·5%)
HIV/AIDS14/21 (66·7%)7/21 (33·3%)0
Clinical frailty‡
1–2164/196 (83·7%)26/196 (13·3%)6/196 (3·1%)
3–41207/1539 (78·4%)300/1539 (19·5%)32/1539 (2·1%)
5–62082/2885 (72·2%)753/2885 (26·1%)50/2885 (1·7%)
7–91250/1938 (64·5%)646/1938 (33·3%)42/1938 (2·2%)
Missing3617/5269 (68·6%)1375/5269 (26·1%)277/5269 (5·3%)
Level of care and escalation plans
Level of respiratory support
Oxygen alone6381/9387 (68·0%)2669/9387 (28·4%)337/9387 (3·6%)
High-flow nasal cannula555/816 (68·0%)218/816 (26·7%)43/816 (5·3%)
Non-invasive ventilation1320/1546 (85·4%)201/1546 (13·0%)25/1546 (1·6%)
Invasive ventilation64/78 (82·1%)12/78 (15·4%)2/78 (2·6%)
Critical care admission
Yes456/534 (85·4%)65/78 (12·2%)13/78 (2·4%)
No......
Not indicated3630/5176 (70·1%)1514/5176 (29·3%)32/5176 (0·6%)
Not appropriate3310/4308 (76·8%)985/4308 (22·9%)13/4308 (0·3%)
Missing1380/2343 (58·9%)601/2343 (25·7%)362/2343 (15·5%)
Death within 2 days of admission
Death or palliative discharge within 2 days of admission407/600 (67·8%)175/600 (29·2%)18/600 (3·0%)
Longer length of hospital stay or survival7913/11 227 (70·5%)2925/11 227 (26·1%)389/11 227 (3·5%)
Data are median (IQR), n/N (%), or n (%). Proportions read horizontally. Proportions read horizontally. Percentages might not sum to 100 due to rounding.
* The any corticosteroid group includes 7305 (87·8%) of 8320 patients who received oral or intravenous dexamethasone 6 mg once daily, 780 (9·4%) who received another or unknown dose or frequency of dexamethasone, 120 (1·4%) who received hydrocortisone, 114 (1·4%) who received prednisolone, and fewer than five who received methylprednisolone.
† A score of 15 indicates a fully awake state, and a score of less than 15 indicates any deficit in either the eye, motor, or verbal response used to assess conscious level.
‡ Clinical frailty reference: scores of 1–2 indicate fit, 3–4 indicate vulnerable, but not frail, 5–6 indicate initial signs of frailty but with some degree of independence, and 7–9 indicate severe or very severe frailty.
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Among 4308 in this cohort in whom critical care admission was not considered appropriate, 3310 (76·8%) received corticosteroids. Fewer patients with a Glasgow Coma Scale score of less than 15 received corticosteroid therapy than those with a score of 15 (1275 of 1903 vs 6722 of 9453). Of the 11 827 patients aged 80 years or older, 600 (5·1%) died or were deemed palliative within 2 days of hospital admission. These patients had slightly lower rates of corticosteroid administration than those with a longer hospital stay or who survived (407 of 600 vs 7913 of 11 227).
Corticosteroid administration rates were lower in pregnant patients with moderate or severe COVID-19 compared with non-pregnant women with moderate or severe COVID-19 aged 18–55 years (84 of 155 vs 3159 of 3597). Pregnant and non-pregnant patients with moderate or severe COVID-19 were similar regarding proportions of symptomatic versus asymptomatic patients and moderate versus severe COVID-19 (appendix pp 30–31).
indy 发表于 2023-1-9 09:10
(PART I)
SummaryBackgroundDexamethasone was the first intervention proven to reduce mortality in...
(PART II)
DiscussionWe observed a rapid and significant increase in the administration of corticosteroids since publication of the RECOVERY trial results on June 16, 2020. However, not all patients who fulfilled the criteria of oxygen therapy and additional severity criteria received corticosteroids. Ages of 70 years or older were associated with consistently lower rates of corticosteroid administration. Patients with dementia, chronic neurological disease, chronic cardiac disease, moderate or severe liver disease, and pregnant patients were also less likely to receive corticosteroids, regardless of severity of illness.
Considering the knowing–doing gap between evidence and implementation, which gets averaged at 17 years,21
the implementation of this programme has been rapid. This fast implementation could have been facilitated by the timing of the evidence, communication, the simplicity of the intervention, and the global focus on the COVID-19 pandemic. In June, 2020, in-hospital mortality from COVID-19 was around 20–25% overall, and up to 38% among patients receiving invasive mechanical ventilation,22
with no proven treatments to reduce mortality. For clinicians, corticosteroids are widely used across hospitals and specialties, and their administration is simple, and the widespread coverage of the trial results in the UK media might have helped to make corticosteroids acceptable among patients. This perceived high benefit-to-risk ratio, familiarity, and simplicity might have aided the achievement of the accepted 80–90% target reliability.23
However, this target was not achieved universally. Age of 70 years or older, clinical frailty, and the aforementioned comorbidities were associated with lower rates of corticosteroid administration. There were also regional differences in corticosteroid uptake. In December, 2020, there seemed to be a reduction in corticosteroid prescribing, which could reflect the increase in hospital burden of patients with COVID-19. These discrepancies highlight the importance of process mapping and exploring potential barriers in addition to quantifying rate of change, to better understand the implementation process.24
Clinicians might have been hesitant to prescribe corticosteroids in patients with advanced age or multiple comorbidities, especially if care was primarily palliative. We found a significant reduction in corticosteroid administration among patients who were 70 years or older, independent of patient demographics, illness severity, and comorbidities, which persisted when adjusting for frailty in the smaller cohort of patients for whom frailty was recorded. However, we did not find that treatment escalation plans affected the administration of corticosteroids or that patients who died in the first 2 days of hospital admission, or who were potentially on a palliative pathway, had lower rates of corticosteroids prescribed.
Other reasons for lower rates of corticosteroid prescribing in patients aged 70 years or older could include concerns of cognitive adverse effects and initial limited evidence in the RECOVERY trial subgroup analysis,3
although the REACT meta-analysis showed benefit in patients older than 60 years.6
The known corticosteroid-induced effects on cognition, delirium, and agitation, might have led clinicians to be cautious when prescribing them for patients with pre-existing cognitive decline or delirium.25
As the prevalence of delirium increases with age,26
clinicians might perceive patients older than 70 years to be at higher risk of such adverse effects. Although delirium was not recorded in this dataset, a Glasgow coma score of less than 15 was associated with lower rates of corticosteroid administration in patients with moderate or severe COVID-19 and in the subgroup of patients aged 80 years or older with moderate or severe COVID-19. This strong independent association of older age and lower rates of corticosteroid administration should be further explored.
Concerns over safety and scarce evidence could also disadvantage patients with diabetes27
and pregnant patients. Although we did not see significant differences in corticosteroid administration associated with diabetes, the uptake in pregnant patients was considerably lower than in non-pregnant women of reproductive age. This result could be explained by the limited and changing COVID-19 guidance for the use of corticosteroids in pregnancy.5
, 28
Although the most recent guidance from the Royal College of Obstetricians and Gynaecologists recommends use of corticosteroids in pregnant patients with COVID-19 requiring oxygen supplementation or ventilation,29
the initial concern of harm and controversies around the ideal corticosteroid30
might have compromised effective implementation. Although there might be a lower threshold to admit pregnant patients resulting in a less unwell cohort overall, the persistent poor uptake in pregnant patients with markers of high illness severity warrants further exploration.
Pre-admission immunosuppressants were associated with higher rates of corticosteroid administration, potentially reflecting indications for pre-existing conditions or lower thresholds to start corticosteroids. Some pre-existing comorbidities for which corticosteroids are occasionally indicated, such as malignancy or rheumatological conditions, were associated with lower rates of corticosteroid administration, which could reflect proven or potential concern about associated immunosuppression. Immunosuppression might present a relative contraindication to corticosteroids; therefore, the risk of secondary infection with corticosteroids should be explored further to ensure safe and appropriate prescribing.31
Alternatively, clinicians might perceive there to be less benefit from corticosteroids because of a potential effect of existing immunosuppression.
Corticosteroids are also indicated in exacerbations of asthma and other chronic pulmonary diseases. However, patients with moderate or severe COVID-19 and non-asthmatic chronic pulmonary disease received fewer corticosteroids, which persisted after adjusting for age and comorbidities. This finding could reflect lower baseline SpO2 and higher respiratory rates resulting in misclassification of some patients into artificially higher severity groups.
The rates of corticosteroid administration increased with markers of severity, such as high respiratory rate, low SpO2, and high CRP, and increasing level of care, but corticosteroids were also administered to patients not recorded to have received supplementary oxygen or without markers of severe COVID-19. Despite the WHO severity criteria,7
the initial clinical guidelines and the principal message from the RECOVERY trial recommended corticosteroids to anyone needing supplementary oxygen,5
and this message might have persisted as a simple decision aid. Contrarily, both the RECOVERY and the Metcovid trials reported a potential signal to harm among patients not receiving oxygen,3
, 32
which might have persuaded clinicians to err to the side of caution among patients with less severe COVID-19. Despite this signal to harm among patients receiving no oxygen, the rate of corticosteroid administration in the non-oxygen cohort observed here did not change after RECOVERY trial publication. To account for the less clear indication for patients with milder disease, we focused on patients with moderate or severe COVID-19 when identifying the discussed factors independently associated with lower corticosteroid administration.
The comprehensive clinical data collected allowed detailed analysis of subgroups to explore administration of corticosteroids. However, there are some limitations. There were more missing data than would be expected for a prospective cohort study, due to the nature of the pandemic, but this issue was handled using appropriate methods. Although the ISARIC WHO CCP-UK study captured a third of the patients admitted to hospital with COVID-19 in the UK after June 16, 2020, and therefore offers a generalisable estimate of the national uptake of corticosteroids, selection bias might still exist. Fewer hospital admissions before June 16 could be partly contributing to the slight premature increase in corticosteroid administration. We cannot comment on the duration of corticosteroid treatment or supplementary oxygen, or the time to prescription. We were also unable to determine the type of non-critical care ward, which could contribute to differences in rates of corticosteroid prescribing due to a range of skills, preparedness, or knowledge in treating patients with COVID-19. As the indication for the corticosteroid therapy was not recorded, a proportion of patients might have received corticosteroids for other indications; therefore, our corticosteroid administration rates for patients with COVID-19 are probably overestimates of the true administration rate for COVID-19. Similarly, cautions with corticosteroids, such as peptic ulcer disease or risk of gastrointestinal bleeding,33
were not collected. Although the severity criteria were robust, derived from commonly used clinical markers on admission, and reflected the current clinical guidelines, they could not capture all criteria for severe or critical COVID-19,2
such as clinical trend. Finally, there might be unmeasured confounders that we were either unaware of or unable to measure.
Rates of corticosteroid administration in COVID-19 have increased substantially since the publication of the RECOVERY trial results and updated clinical guidelines, with the greatest rates seen among patients with higher severity of illness. However, this study highlighted a marked difference in corticosteroid uptake based on age, with patients aged 70 years or older much less likely to receive corticosteroids, even after accounting for illness severity, comorbidities, and clinical frailty. The presence of chronic cardiac disease, chronic neurological disease, dementia, or pregnancy was also associated with lower rates of corticosteroid administration. A decision not to administer a cheap, simple, and potentially life-saving therapy such as low-dose corticosteroids in COVID-19 might benefit from a consensus approach, whereby any decision not to adhere to a guideline requires discussion and sense checking with another clinical colleague. This approach might provide reassurance to patients of equitable access and support clinicians in potentially challenging decision making. Future qualitative research should evaluate whether there were systematic barriers or enablers to implementation, overall or in specific subgroups of patients, across a range of institutions, settings, and practitioners. Such work should aim to understand to what extent the results presented here represent appropriate clinical judgement or potentially modifiable barriers to receiving life-saving treatments.
ISARIC Coronavirus Clinical Characterisation Consortium (ISARIC4C)
J Kenneth Baillie, Malcolm G Semple, Peter JM Openshaw, Gail Carson, Beatrice Alex, Benjamin Bach, Wendy S Barclay, Debby Bogaert, Meera Chand, Graham S Cooke, Annemarie B Docherty, Jake Dunning, Ana da Silva Filipe, Tom Fletcher, Christopher A Green, Julian A Hiscox, Antonia Ying Wai Ho, Peter W Horby, Samreen Ijaz, Saye Khoo, Paul Klenerman, Andrew Law, Wei Shen Lim, Alexander J Mentzer, Laura Merson, Alison M Meynert, Mahdad Noursadeghi, Shona C Moore, Massimo Palmarini, William A Paxton, Georgios Pollakis, Nicholas Price, Andrew Rambaut, David L Robertson, Clark D Russell, Vanessa Sancho-Shimizu, Janet T Scott, Tom Solomon, Shiranee Sriskandan, David Stuart, Charlotte Summers, Richard S Tedder, Emma C Thomson, Ryan S Thwaites, Lance C W Turtle, Maria Zambon, Hayley E Hardwick, Chloe Donohue, Jane Ewins, Wilna Oosthuyzen, Fiona Griffiths, Lisa Norman, Riinu Pius, Tom M Drake, Cameron J Fairfield, Stephen Knight, Kenneth A Mclean, Derek Murphy, Catherine A Shaw, Jo Dalton, Michelle Girvan, Egle Saviciute, Stephanie Roberts, Janet Harrison, Laura Marsh, Marie Connor, Gary Leeming, Andrew Law, Ross Hendry, William Greenhalf, Victoria Shaw, Sarah McDonald, Kayode Adeniji, Daniel Agranoff, Ken Agwuh, Dhiraj Ail, Ana Alegria, Brian Angus, Abdul Ashish, Dougal Atkinson, Shahedal Bari, Gavin Barlow, Stella Barnass, Nicholas Barrett, Christopher Bassford, David Baxter, Michael Beadsworth, Jolanta Bernatoniene, John Berridge, Nicola Best, Pieter Bothma, David Brealey, Robin Brittain-Long, Naomi Bulteel, Tom Burden, Andrew Burtenshaw, Vikki Caruth, David Chadwick, Duncan Chambler, Nigel Chee, Jenny Child, Srikanth Chukkambotla, Tom Clark, Paul Collini, Graham Cooke, Catherine Cosgrove, Jason Cupitt, Maria-Teresa Cutino-Moguel, Paul Dark, Chris Dawson, Samir Dervisevic, Phil Donnison, Sam Douthwaite, Ingrid DuRand, Ahilanadan Dushianthan, Tristan Dyer, Cariad Evans, Chi Eziefula, Chrisopher Fegan, Adam Finn, Duncan Fullerton, Sanjeev Garg, Sanjeev Garg, Atul Garg, Effrossyni Gkrania-Klotsas, Jo Godden, Arthur Goldsmith, Clive Graham, Elaine Hardy, Stuart Hartshorn, Daniel Harvey, Peter Havalda, Daniel B Hawcutt, Antonia Ho, Maria Hobrok, Luke Hodgson, Anita Holme, Anil Hormis, Michael Jacobs, Susan Jain, Paul Jennings, Agilan Kaliappan, Vidya Kasipandian, Stephen Kegg, Michael Kelsey, Jason Kendall, Caroline Kerrison, Ian Kerslake, Oliver Koch, Gouri Koduri, George Koshy, Shondipon Laha, Susan Larkin, Tamas Leiner, Patrick Lillie, James Limb, Vanessa Linnett, Jeff Little, Michael MacMahon, Emily MacNaughton, Ravish Mankregod, Huw Masson, Elijah Matovu, Katherine McCullough, Ruth McEwen, Manjula Meda, Gary Mills, Jane Minton, Mariyam Mirfenderesky, Kavya Mohandas, James Moon, Elinoor Moore, Patrick Morgan, Craig Morris, Katherine Mortimore, Samuel Moses, Mbiye Mpenge, Rohinton Mulla, Michael Murphy, Megan Nagel, Thapas Nagarajan, Mark Nelson, Igor Otahal, Mark Pais, Selva Panchatsharam, Hassan Paraiso, Brij Patel, Justin Pepperell, Mark Peters, Mandeep Phull, Stefania Pintus, Jagtur Singh Pooni, Frank Post, David Price, Rachel Prout, Nikolas Rae, Henrik Reschreiter, Tim Reynolds, Neil Richardson, Mark Roberts, Devender Roberts, Alistair Rose, Guy Rousseau, Brendan Ryan, Taranprit Saluja, Aarti Shah, Prad Shanmuga, Anil Sharma, Anna Shawcross, Jeremy Sizer, Richard Smith, Catherine Snelson, Nick Spittle, Nikki Staines, Tom Stambach, Richard Stewart, Pradeep Subudhi, Tamas Szakmany, Kate Tatham, Jo Thomas, Chris Thompson, Robert Thompson, Ascanio Tridente, Darell Tupper-Carey, Mary Twagira, Andrew Ustianowski, Nick Vallotton, Lisa Vincent-Smith, Shico Visuvanathan, Alan Vuylsteke, Sam Waddy, Rachel Wake, Andrew Walden, Tony Whitehouse, Paul Whittaker, Ashley Whittington, Meme Wijesinghe, Martin Williams, Lawrence Wilson, Sarah Wilson, Stephen Winchester, Martin Wiselka, Adam Wolverson, Daniel G Wooton, Andrew Workman, Bryan Yates, Peter Young.
Contributors
JKB, JD, JSN-V-T, PJMO, and MGS contributed to conceptualisation of the study. FN, EMH, MGS, and ABD did the formal analysis. FN, SRM, SDS, EMH, MGS, and ABD wrote the original draft. FN, SRM, SDS, TMD, RHM, JD, CJF, AH, JSN-V-T, RP, CDR, CAS, LT, PJMO, JKB, EMH, MGS, and ABD contributed to review and editing of the report. CD, HEH, AH, MG, GL, and RGS were responsible for project administration. JKB, PJMO, and MGS were responsible for funding acquisition. FN, EMH, and ABD verified all the data. All authors had full access to all data, and have seen and approved of the final text. EMH, MGS, and ABD had final responsibility for the decision to submit for publication.
Data sharingData, protocols, and all documentation around this analysis will be made available to academic researchers after authorisation from the ISARIC independent data management and access committee.
Declaration of interestsABD reports grants from the UK Department of Health and Social Care (DHSC) during the conduct of the study, and grants from the Wellcome Trust outside the submitted work. JSN-V-T reports grants from the DHSC during the conduct of the study, and is seconded to the DHSC. PJMO reports personal fees from consultancies and from the European Respiratory Society; grants from the UK Medical Research Council (MRC), the MRC Global Challenge Research Fund, the EU, the NIHR Biomedical Research Centre, MRC–GSK, the Wellcome Trust, and the NIHR (Health Protection Research Unit in Respiratory Infections at Imperial College London); and is an NIHR senior investigator outside the submitted work; his role as President of the British Society for Immunology was unpaid but travel and accommodation at some meetings was provided by the society. JKB reports grants from the MRC. MGS reports grants from DHSC, NIHR UK, MRC UK, HPRU in Emerging and Zoonotic Infections, and University of Liverpool, during the conduct of the study; and is chair of the Infectious Diseases Science Advisory Board and minority shareholder of Integrum Scientific, Greensboro NC, and Independent external and non-remunerated member of Pfizer's External Data Monitoring Committee for their mRNA vaccine program(s) outside the submitted work. All other authors declare no competing interests.
Acknowledgments
This study is supported by grants from the NIHR (award CO-CIN-01), the MRC (grant MC_PC_19059), the NIHR Imperial Biomedical Research Centre (grants P45058 and IS-BRC-1215-20013), the NIHR HPRU in Respiratory Infections at Imperial College London and NIHR HPRU in Emerging and Zoonotic Infections at the University of Liverpool, both in partnership with Public Health England (NIHR award 200907), the Wellcome Trust and the UK Department for International Development (215091/Z/18/Z), the Bill & Melinda Gates Foundation (OPP1209135), the Liverpool Experimental Cancer Medicine Centre (grant reference C18616/A25153), and the EU Platform for European Preparedness Against (Re-)emerging Epidemics 1 (FP7 project 602525). The NIHR Clinical Research Network provided infrastructure support for this research. This research was funded, in part, by the Wellcome Trust. RHM reports grants from BREATHE, the health data research hub for respiratory health (MC_PC_19004). BREATHE is funded through the UK Research and Innovation Industrial Strategy Challenge Fund and is delivered by Health Data Research UK. ABD acknowledges funding from the Wellcome Trust (216606/Z/19/Z0). LT is supported by a Wellcome Trust fellowship (205228/Z/16/Z). PJMO is supported by a NIHR Senior Investigator Award (award 201385). The views expressed are those of the authors and not necessarily those of the DHSC, the Department for International Development, the NIHR, the MRC, the Wellcome Trust, or Public Health England. Investigators were independent from funders. ISARIC4C CCP-UK data are provided by patients and collected by the UK National Health Service as part of their care. Although there was no direct involvement from patients or the public, quality improvement is paramount in ensuring the reliability of the health-care system that aims to maximise benefit and minimise harm to patients. This research was conducted as part of an urgent public health study in response to an emergency, meaning there was insufficient time for public involvement before data collection commenced. We are extremely grateful to the 2648 front-line NHS clinical and research staff and volunteer medical students who collected these data under challenging circumstances, and the generosity of the participants and their families for their individual contributions in these difficult times. We also acknowledge the support of Jeremy J Farrar (Wellcome Trust, London, UK) and Nahoko Shindo (WHO, Geneva, Switzerland).
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References
[*]1.
[*]WHO
Living guidance for clinical management of COVID-19.
https://www.who.int/publications/i/item/WHO-2019-nCoV-clinical-2021-1Date: Nov 23, 2021
Date accessed: April 1, 2021
View in Article
[*]Google Scholar
[*]2.
[*]WHO
Corticosteroids for COVID-19.
https://www.who.int/publications/i/item/WHO-2019-nCoV-Corticosteroids-2020.1Date: Sept, 2020
Date accessed: October 17, 2020
View in Article
[*]Google Scholar
[*]3.
[*]Horby P
[*]Lim WS
[*]Emberson JR
[*]et al.
Dexamethasone in hospitalized patients with Covid-19.
N Engl J Med. 2021; 384: 693-704View in Article
[*]Scopus (5082)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]4.
[*]Chief Investigators of the Randomised Evaluation of COVid-19 thERapY (RECOVERY) Trial
Low-cost dexamethasone reduces death by up to one third in hospitalised patients with severe respiratory complications of COVID-19.
https://www.recoverytrial.net/news/low-cost-dexamethasone-reduces-death-by-up-to-one-third-in-hospitalised-patients-with-severe-respiratory-complications-of-covid-19Date: June 16, 2020
Date accessed: October 10, 2020
View in Article
[*]Google Scholar
[*]5.
[*]Whitty C
Dexamethasone in the treatment of COVID-19: implementation and management of supply for treatment in hospitals.
https://www.cas.mhra.gov.uk/ViewandAcknowledgment/ViewAlert.aspx?AlertID=103054Date: June 16, 2020
Date accessed: October 10, 2020
View in Article
[*]Google Scholar
[*]6.
[*]The WHO Rapid Evidence Appraisal for COVID-19 Therapies (REACT) Working Group
Association between administration of systemic corticosteroids and mortality among critically ill patients with COVID-19: a meta-analysis.
JAMA. 2020; 324: 1330-1341View in Article
[*]Scopus (1269)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]7.
[*]National Institute for Health and Care Excellence
COVID-19 prescribing briefing: corticosteroids.
https://www.nice.org.uk/guidance/ng191/resources/covid19-rapid-guideline-managing-covid19-pdf-51035553326Date: Sept 3, 2020
Date accessed: February 3, 2021
View in Article
[*]Google Scholar
[*]8.
[*]National Institute for Health and Care Excellence
COVID-19 rapid guideline: managing COVID-19.
www.nice.org.uk/guidance/ng191Date: March 23, 2021
Date accessed: April 18, 2021
View in Article
[*]Google Scholar
[*]9.
[*]Águas R
[*]Mahdi A
[*]Shretta R
[*]et al.
Potential health and economic impacts of dexamethasone treatment for patients with COVID-19.
Nat Commun. 2021; 12: 915View in Article
[*]Scopus (22)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]10.
[*]Craig P
[*]Dieppe P
[*]Macintyre S
[*]Michie S
[*]Nazareth I
[*]Perricrew M
Developing and evaluating complex interventions.
www.mrc.ac.uk/complexinterventionsguidanceDate: 2021
Date accessed: April 26, 2021
View in Article
[*]Google Scholar
[*]11.
[*]Daniel M
[*]Puxty A
[*]Miles B
Making quality improvement happen in the real world: building capability and improving multiple projects at the same time.
BMJ Qual Improv Rep. 2016; 5 (u207660.w4159.)View in Article
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]12.
[*]Närhi F
[*]Drake T
[*]Harrison E
[*]et al.
Delayed adoption of corticosteroids as standard of care for hypoxic patients with COVID-19 in the UK.
https://www.gov.uk/government/publications/co-cin-delayed-adoption-of-corticosteroids-as-standard-of-care-for-hypoxic-patients-with-covid-19-in-the-uk-29-october-2020Date: Nov 13, 2020
Date accessed: February 11, 2021
View in Article
[*]Google Scholar
[*]13.
[*]Docherty AB
[*]Harrison EM
[*]Green CA
[*]et al.
Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study.
BMJ. 2020; 369m1985View in Article
[*]PubMed
[*]Google Scholar
[*]14.
[*]NHS Health Research Authority
Extension of COVID-19 COPI notice.
https://www.hra.nhs.uk/about-us/news-updates/extension-covid-19-copi-notice/Date: July 30, 2020
Date accessed: June 2, 2021
View in Article
[*]Google Scholar
[*]15.
[*]NHS Scotland
Public benefit and privacy panel for health and social care.
https://www.informationgovernance.scot.nhs.uk/pbpphsc/Date accessed: June 2, 2021
View in Article
[*]Google Scholar
[*]16.
[*]von Elm E
[*]Altman DG
[*]Egger M
[*]Pocock SJ
[*]Gøtzsche PC
[*]Vandenbroucke JP
The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.
Bull World Health Organ. 2007; 85: 867-872View in Article
[*]Scopus (745)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]17.
[*]Knight SR
[*]Ho A
[*]Pius R
[*]et al.
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score.
BMJ. 2020; 370m3339View in Article
[*]Google Scholar
[*]18.
[*]Rockwood K
[*]Song X
[*]MacKnight C
[*]et al.
A global clinical measure of fitness and frailty in elderly people.
CMAJ. 2005; 173: 489-495View in Article
[*]Scopus (4187)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]19.
[*]O'Driscoll BR
[*]Howard LS
[*]Earis J
[*]Mak V
BTS guideline for oxygen use in adults in healthcare and emergency settings.
Thorax. 2017; 72: ii1-i90View in Article
[*]Scopus (289)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]20.
[*]Harrell FE
Regression modeling strategies: with applications to linear models, logistic and ordinal regression, and survival analysis.
Springer International Publishing, Cham2015View in Article
[*]Crossref
[*]Google Scholar
[*]21.
[*]Balas EA
[*]Boren SA
Managing clinical knowledge for health care improvement.
in: Bemmel J McCray AT Yearbook of medical informatics 2000: patient-centered systems. Schattauer, Stuttgart2000: 65-70View in Article
[*]Crossref
[*]Google Scholar
[*]22.
[*]Docherty AB
[*]Mulholland RH
[*]Lone NI
[*]et al.
Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK.
Lancet Respir Med. 2021; 9: 773-785View in Article
[*]Scopus (35)
[*]PubMed
[*]Summary
[*]Full Text
[*]Full Text PDF
[*]Google Scholar
[*]23.
[*]Nolan T
[*]Resar R
[*]Haraden C
[*]Griffin FA
Improving the reliability of health care.
Institute for Healthcare Improvement, Boston, MA2004View in Article
[*]Google Scholar
[*]24.
[*]Leng G
[*]Moore V
[*]Abraham S
Achieving high quality care: practical experience from NICE.
Wiley-Blackwell, Hoboken, NJ2014View in Article
[*]Scopus (2)
[*]Crossref
[*]Google Scholar
[*]25.
[*]Prado CE
[*]Crowe SF
Corticosteroids and cognition: a meta-analysis.
Neuropsychol Rev. 2019; 29: 288-312View in Article
[*]Scopus (16)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]26.
[*]British Geriatrics Society
CGA in primary care settings: patients presenting with confusion and delirium.
https://www.bgs.org.uk/resources/14-cga-in-primary-care-settings-patients-presenting-with-confusion-and-delirium#anchor-nav-prevalenceDate: Jan 29, 2019
Date accessed: June 25, 2021
View in Article
[*]Google Scholar
[*]27.
[*]Waterer GW
[*]Rello J
Steroids and COVID-19: we need a precision approach, not one size fits all.
Infect Dis Ther. 2020; 9: 701-705View in Article
[*]Scopus (15)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]28.
[*]Royal College of Obstetricians and Gynaecologists
Guidance for maternal medicine services in the evolving coronavirus (COVID-19) pandemic, version 2.4.
https://www.rcog.org.uk/globalassets/documents/guidelines/2020-07-10-guidance-for-maternal-medicine.pdfDate: July 10, 2020
Date accessed: October 10, 2020
View in Article
[*]Google Scholar
[*]29.
[*]Royal College of Obstetricians and Gynaecologists
Coronavirus (COVID-19) infection in pregnancy v13.
https://www.rcm.org.uk/media/4724/2021-02-19-coronavirus-covid-19-infection-in-pregnancy-v13.pdfDate accessed: May 23, 2021
View in Article
[*]Google Scholar
[*]30.
[*]Saad AF
[*]Chappell L
[*]Saade GR
[*]Pacheco LD
Corticosteroids in the management of pregnant patients with coronavirus disease (COVID-19).
Obstet Gynecol. 2020; 136: 823-826View in Article
[*]Scopus (31)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]31.
[*]Prescott HC
[*]Rice TW
Corticosteroids in COVID-19 ARDS: evidence and hope during the pandemic.
JAMA. 2020; 324: 1292-1295View in Article
[*]Scopus (115)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]32.
[*]Jeronimo CMP
[*]Farias MEL
[*]Val FFA
[*]et al.
Methylprednisolone as adjunctive therapy for patients hospitalized with coronavirus disease 2019 (COVID-19; Metcovid): a randomized, double-blind, phase IIb, placebo-controlled trial.
Clin Infect Dis. 2021; 72: e373-e381View in Article
[*]Scopus (215)
[*]PubMed
[*]Crossref
[*]Google Scholar
[*]33.
[*]National Institute for Health and Care Excellence
Dexamethasone.
https://bnf.nice.org.uk/drug/dexamethasone.htmlDate accessed: August 14, 2021
View in Article
[*]Google Scholar
Article InfoPublication HistoryPublished: April 2022
IdentificationDOI: https://doi.org/10.1016/S2589-7500(22)00018-8Copyright© 2022 The Authors. Published by Elsevier Ltd.
User LicenseCreative Commons Attribution (CC BY 4.0) | How you can reuse https://www.thelancet.com/templates/jsp/_style2/_marlin/images/information.png
ScienceDirectAccess this article on ScienceDirectFigures
[*]https://www.thelancet.com/cms/attachment/139f4500-5ffe-43b8-a691-9f0369d1b153/gr1.gif
Figure 1Trial profile
[*]https://www.thelancet.com/cms/attachment/ced04c97-2e5a-48bf-8cfa-9fa90f56e7f2/gr2.jpg
Figure 2Corticosteroid administration in patients between the June 8, 2020, and April 14, 2021, stratified by supplementary oxygen, level of care, and COVID-19 severity at hospital admission
[*]https://www.thelancet.com/cms/attachment/d0e2855c-3bf8-4b38-93ee-525bb98f75f4/gr3.jpg
Figure 3Fitted lines of the linear regression model for corticosteroid administration to patients who required oxygen, admitted to hospital between March 16, 2020, and April 18, 2021
[*]https://www.thelancet.com/cms/attachment/9577d188-b96e-40f1-b84e-f5bf9d8aa459/gr4.jpg
Figure 4Multivariable multilevel regression model of any corticosteroid administration among 30 670 patients with moderate or severe COVID-19 receiving supplementary oxygen and admitted to hospital between June 16, 2020, and April 14, 2021
Tables
[*]Table 1Baseline characteristics of patients admitted between June 17, 2020, and April 14, 2021, who received supplementary oxygen at any point in their admission, stratified by corticosteroid administration
[*]Table 2Patients who received oxygen at any point in their admission and classified as having moderate or severe COVID-19 between June 17, 2020, and April 14, 2021, stratified by corticosteroid administration
[*]Table 3Subgroup analysis of patients aged 80 years or older with moderate or severe COVID-19, admitted to hospital between June 17, 2020, and April 14, 2021
易水 发表于 2023-1-9 21:34
5mg地米，相当于133mg氢化可的松，比常用的大剂量冲击疗法略低，但高于一般剂量。 ...
刚看到你引用文章里提到的激素用药量是每天口服6mg地米，所以差不多是一个级别，张文宏提到的用药量是没问题的。至于临床适用范围这个问题，我没有知识基础，就不参与讨论了。 landlord 发表于 2023-1-7 08:55
这话说的条理很清楚嘛。搞不懂为啥这么多人骂他
水平明显比吴尊友饶毅差一截。
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