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Vol. 47. Núm. 2.
Páginas 55-63 (Marzo - Abril 2023)
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Vol. 47. Núm. 2.
Páginas 55-63 (Marzo - Abril 2023)
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Impact of systemic corticosteroids on hospital length of stay among patients with COVID-19
Impacto de los corticoides sistémicos en el tiempo de hospitalización en pacientes con COVID-19
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Ester Zamarróna,#, Carlos Carpioa,
Autor para correspondencia
carlinjavier@hotmail.com

Corresponding author.
, Elena Villamañánb, Rodolfo Álvarez-Salaa, Alberto M. Borobiac, Luis Gómez-Carreraa, Antonio Buñod, Concepción Pradosa,#, on behalf of the COVID@HULP Working Group , POSTCOVID@HULP Working Group §
a Pneumology Department, La Paz University Hospital-IdiPAZ, Autonomous Universidad Autónoma de Madrid, CIBERES, Madrid, Spain
b Pharmacy Department, La Paz University Hospital-IdiPAZ, Autonomous Universidad Autónoma de Madrid, Madrid, Spain
c Clinical Pharmacology Department, La Paz University Hospital-IdiPAZ, Autonomous Universidad Autónoma de Madrid, Madrid, Spain
d Clinical Analytics Department, La Paz University Hospital-IdiPAZ, Autonomous Universidad Autónoma de Madrid, Madrid, Spain
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Ester Zamarrón, Carlos Carpio, Elena Villamañán, Rodolfo Álvarez-Sala, Alberto M. Borobia, Luis Gómez-Carrera, Antonio Buño, M. Concepción Prados
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Table 1. Baseline characteristics of hospitalised patients diagnosed with COVID-19 treated or not with systemic corticosteroids.
Table 2. Outcomes among hospitalised patients diagnosed with COVID-19 treated or not with systemic corticosteroids.
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Abstract
Background and objective

The COVID-19 pandemic has posed a threat to hospital capacity due to the high number of admissions, which has led to the development of various strategies to release and create new hospital beds. Due to the importance of systemic corticosteroids in this disease, we assessed their efficacy in reducing the length of stay (LOS) in hospitals and compared the effect of 3 different corticosteroids on this outcome.

Methods

We conducted a real-world, controlled, retrospective cohort study that analysed data from a hospital database that included 3934 hospitalised patients diagnosed with COVID-19 in a tertiary hospital from April to May 2020. Hospitalised patients who received systemic corticosteroids (CG) were compared with a propensity score control group matched by age, sex and severity of disease who did not receive systemic corticosteroids (NCG). The decision to prescribe CG was at the discretion of the primary medical team.

Results

A total of 199 hospitalized patients in the CG were compared with 199 in the NCG. The LOS was shorter for the CG than for the NCG (median = 3 [interquartile range = 0–10] vs. 5 [2–8.5]; p = 0.005, respectively), showing a 43% greater probability of being hospitalised ≤ 4 days than > 4 days when corticosteroids were used. Moreover, this difference was only noticed in those treated with dexamethasone (76.3% hospitalised ≤ 4 days vs. 23.7% hospitalised > 4 days [p < 0.001]). Serum ferritin levels, white blood cells and platelet counts were higher in the CG. No differences in mortality or intensive care unit admission were observed.

Conclusions

Treatment with systemic corticosteroids is associated with reduced LOS in hospitalised patients diagnosed with COVID-19. This association is significant in those treated with dexamethasone, but no for methylprednisolone and prednisone.

Keywords:
COVID-19
Corticosteroids
Dexamethasone
hospitalization
Resumen
Objetivo

El COVID-19 supuso una amenaza para la capacidad hospitalaria por el elevado número de ingresos, lo que llevó al desarrollo de diversas estrategias para liberar y crear nuevas camas hospitalarias. Dada la importancia de los corticoides sistémicos en esta enfermedad, se evaluó la eficacia de estos en la reducción de la duración de la estancia hospitalaria (LOS) y se comparó el efecto de tres corticosteroides diferentes sobre este resultado.

Método

Se realizó un estudio en vida real de cohorte retrospectivo, controlado que analizó una base de datos hospitalaria que incluyó 3.934 pacientes hospitalizados diagnosticados con COVID-19 en un hospital terciario de abril a mayo de 2020. Se comparó un grupo de enfermos que recibieron corticosteroides sistémicos (CG) frente a un grupo de control que no recibió corticosteroides sistémicos (NCG) emparejado por edad, sexo y gravedad de la enfermedad mediante una puntuación de propensión. La decisión de prescribir CG dependía principalmente del criterio del médico responsable.

Resultados

Se compararon un total de 199 pacientes hospitalizados en el GC con 199 en el GNC. La LOS fue más corta para el GC que para el NCG (mediana = 3 [rango intercuartílico = 0-10] vs. 5 [2-8,5]; p = 0,005, respectivamente), mostrando un 43% más de probabilidad de ser hospitalizado ≤ 4 días que > 4 días cuando se usaron corticosteroides. Además, esta diferencia solo la mostraron aquellos tratados con dexametasona (76,3% hospitalizados ≤ 4 días vs. 23,7% hospitalizados > 4 días [p < 0,001]). Los niveles de ferritina sérica, glóbulos blancos y plaquetas fueron más elevados en el GC. No se observaron diferencias en la mortalidad ni en el ingreso a la unidad de cuidados intensivos.

Conclusiones

El tratamiento con corticosteroides sistémicos se asocia con una disminución de la estancia hospitalaria en pacientes hospitalizados con diagnóstico de COVID-19. Esta asociación es significativa en aquellos tratados con dexametasona, no así en metilprednisolona o prednisona.

Palabras clave:
COVID-19
corticoides
dexametasona
hospitalización
Texto completo
Introduction

The coronavirus disease 2019 (COVID-19) continues to be responsible for a high number of hospitalizations. 12%–20% of patients with COVID-19 need hospitalisation due to a severe illness causing acute respiratory failure that can develop even just a few hours after the beginning of the dyspnoea1,2. Mortality is extremely high in this subgroup of patients, with a reported rate of 20%–52%3,4.

These alarming statistics have posed an enormous threat to the capacity of hospitals, which have had to reduce the use of hospital beds for non-COVID-19 illnesses and expand the number and availability of ICU hospital beds as well as providing other resources and amenities. In fact, the demand for available beds was so high in Madrid during the first pandemic surge that it was necessary to convert hotels to hospital-hotels5 and to adapt an exhibition space into a provisional hospital. In fact, a new pandemic hospital has been constructed specifically for this difficult situation, and throughout the Spanish territory numerous field hospitals have been built.

To improve the data on treatments and outcomes, several therapies for hospitalised patients have been evaluated. Thus far, corticosteroids3, together with anticoagulation, the antiviral remdesivir, or immunomodulators such as tocilizumab or the Janus kinase inhibitor baricitinib have shown some efficacy in randomised clinical trials, but many others are under investigation6.

Regarding systemic corticosteroids, experience in other viral acute respiratory distress syndromes (ARDS), such as Middle East respiratory syndrome, severe acute respiratory syndrome and influenza, had shown delayed viral clearance, no benefit and even potential injury7–9. Therefore, although corticosteroids were not recommended for COVID-19 treatment in the early phases of the pandemic10, we now know that in the inflammatory phase of severe COVID-19 they can reduce proinflammatory and augment anti-inflammatory cytokines, as well as improve lung barrier integrity and microcirculation11–13. Fortunately, the evidence is growing, and in the RECOVERY randomised trial, dexamethasone demonstrated a reduction in mortality in patients with respiratory failure3. In addition, in several observational studies, the benefits of corticosteroids in regard to delaying intensive care unit (ICU) admission, shortening mechanical ventilator support14, and even reduced mortality have been observed14,15.

Dexamethasone is a well-known drug with more than 60 years of clinical use. Its therapeutic potential comes from several actions. First, it binds to glucocorticoid receptors present in the cell cytoplasm, which are responsible for the initiation of immune cells responses that lead to proinflammatory suppression of several cytokines, some of which are related to COVID-19 progression. It also increases the gene expression of interleukin (IL)-10, which is an anti-inflammatory cytokine mediator. Second, it inhibits neutrophil adhesion to endothelial cells, preventing the release of lysosomal enzymes and chemotaxis at the site of inflammation, as well as inhibiting macrophage activation, one of the main authors of cytokine storms in COVID-19, which in turn is the landmark of severe COVID-19. Additionally, dexamethasone has other important benefits, such as its low-cost, easy availability and its long-lasting effect that allows a once-a-day regimen11,16.

Given the positive results of previously mentioned studies on corticosteroids, we suspected that corticosteroids also could shorten the hospital length of stay (LOS), thus reducing the consumption of resources and increasing available beds for other patients who need them. However, no study has focused on this outcome. Furthermore, while the evidence has been accumulating on dexamethasone, other groups of corticosteroids have not yet been evaluated.

Thus, we focused on the first wave of the pandemic, when corticosteroids were beginning to be used, and we compared patients who received corticosteroids with patients who did not. We conducted a real-world study in which we aimed to determine the efficacy of corticosteroids in shortening the LOS in patients with COVID-19 compared with patients who did not receive corticosteroids. In addition, we evaluated which group of corticosteroids was the most effective in reducing the LOS.

MethodsStudy design and objectives

This was a real-world, controlled, retrospective cohort study. Our main objective was to determine the impact of systemic corticosteroids on the LOS in hospitalised patients with COVID-19. We also evaluated whether the use of corticosteroids was associated with the occurrence of severe complications of COVID-19, such as death and admission to the ICU. Finally, we aimed to assess which specific subgroup of corticosteroids acts most effectively on theses outcomes.

Patient population and COVID-19 database

We included all individuals, 18 years or older, who were hospitalised in a 1286-bed hospital in Madrid (La Paz University Hospital) with a diagnosis of COVID-19 from April to May 2020, who received systemic corticosteroids (corticosteroid therapy group [CG]). Due to the limited evidence on the use of systemic corticosteroids in this disease until this time, their prescription mainly depended on the physicians’ previous experience in their use.

Patients not hospitalised or discharged from the emergency department after a stay of less than 24 h were not included. A control group of patients who did not require systemic corticosteroid treatment (non-corticosteroid therapy group [NCG]) was recruited from a hospital database that comprised all patients hospitalised with a COVID-19 diagnosis during the same period. The characteristics of this database have been previously published17 and included 3934 patients consecutively treated in the Emergency Department of an University Hospital between February 25, 2021 and June 16, 2021, and who were later hospitalised. The database (called COVID@HULP) includes 372 variables, grouped into demographics, medical history, infection exposure history, symptoms, complications, treatments (excluding clinical trials) and disease progression during hospitalisation. For this study, we extracted age, sex, smoking status, transmission, comorbidities, symptoms on admission, severity of disease, complications, ICU admission and death during hospitalisation. The severity of disease was evaluated according to the Spanish Official Document on the management of COVID-19. It considered mild pneumonia as oxygen saturation higher than 90%, with no signs of severity and a CURB-65 pneumonia severity score lower than 2; and severe COVID-19 pneumonia as organ failure, oxygen saturation lower than 90% or respiratory rate higher than 3018.

Patients (with or without systemic corticosteroid treatment) were matched 1:1 by age, sex and severity of disease. Matching was performed by statisticians of the Central Clinical Research Unit who were blinded to completion of the data.

Laboratory results (haematology, biochemistry, microbiology) were extracted from various hospital data management systems, and information regarding the drugs used during hospitalisation was extracted from the electronic prescription system.

Patients with corticosteroids were identified using the computerised physician order entry (CPOE) program to make prescriptions. The task of identifying patients treated with corticosteroids was performed by a pharmacist with high experience using the CPOE program.

The study was approved by the Research Ethics Committee of La Paz University Hospital (PI-4455).

Outcomes

The main outcomes were LOS in hospital, death and admission to the ICU. We also evaluated differences between the CG and NCG as well as the development of complications during hospitalisation.

Statistical analysis

In the first part of the analysis, baseline characteristic data on both groups (CG and NCG) were evaluated. In the second part, analyses were focused on the subgroups of corticosteroids used. Patients in both groups were propensity score matched 1:1, accounting for age, sex and severity of disease. Quantitative variables were expressed as medians with interquartile range (IQR). For categorical variables, frequencies and proportions were used. Prior to the analyses, a normality analysis was performed with the Shapiro–Wilk test. For the parametric analysis, Student’s t-test was used, and the Mann–Whitney U test was used for non-parametric analyses. For correlations between quantitative variables, Spearman’s correlation was employed. For the associations between qualitative variables, the chi-squared test (or Fisher's test when necessary) was used. Finally, to investigate the association between corticosteroids and the LOS, we employed a logistic regression analysis. For this purpose, the hospital LOS was dichotomised into ≤ 4 and > 4 days, given it corresponded to the median of the included population. Statistical significance was set at a p-value ≤ 0.05. Statistical analyses were performed using R version 4.0.4.

ResultsBaseline characteristics of the included patients

A total of 288 hospitalised patients diagnosed with COVID-19 were identified as treated with corticosteroids during the study period. Of these, 89 were not included because of the inability to find a control participant in the hospital’s database after applying the propensity score matching. Ultimately, 199 patients allocated to the CG and 199 patients in the NCG were included in the analysis (Fig. 1).

Fig. 1.

Flowchart of the study.

(0,11MB).

The distributions of comorbidities were not different when comparing the CG with the NCG. Regarding the systemic inflammatory response to COVID-19, only serum ferritin levels (620.5 [IQR 216.5–1191.8] vs 312.5 [IQR 105.5–594.5]; p < 0.001), white blood cell count (6.5 [IQR 5–9.4] vs 5.9 [IQR 4.4–8.5]; p = 0.041) and platelets (256 [IQR 192–342] vs 225.5 [IQR 179–301.5]; p = 0.016) were significantly higher in the CG compared with the NCG. Comparisons between both groups are detailed in Table 1.

Table 1.

Baseline characteristics of hospitalised patients diagnosed with COVID-19 treated or not with systemic corticosteroids.

CG(n = 199)  NCG(n = 199) 
Men, n (%)115 (57.8)  115 (57.8) 
Age, years68 [56–78]  68 [56–78] 
Current smoker, n (%)16 (8.4)  13 (6.8)  0.688 
Comorbidities
Obesity, n (%)33 (16.8)  27 (13.8)  0.510 
  Cardiac disease, n (%)  49 (24.6)  46 (23.1)  0.814 
  Hypertension, n (%)  97 (49)  101 (50.8)  0.802 
  COPD, n (%)  17 (8.6)  20 (10.1)  0.730 
  Asthma, n (%)  15 (7.6)  8 (4.0)  0.197 
  Diabetes mellitus, n (%)  46 (23.2)  52 (26.1)  0.580 
  Dyslipidaemia, n (%)  84 (42.9)  84 (42.2)  0.978 
  Liver disease, n (%)  11 (5.5)  9 (4.5)  0.243 
  Neurological disease, n (%)  37 (18.9)  24 (12.1)  0.086 
  Neoplastic disease, n (%)  36 (18.4)  29 (14.6)  0.390 
  Kidney disease, n (%)  28 (14.1)  18 (9.0)  0.153 
Patient’s functional status0.454
  Totally dependent  16 (8.5)  10 (5.3) 
  Partially dependent  12 (6.4)  11 (5.9) 
  Independent  160 (85.1)  167 (88.8) 
Long-term oxygen therapy2 (1)  1 (0.5)  0.868 
Pregnancy1 (0.5)  4 (2.0)  0.374 
Cohabitation/familial infection33 (18.2)  30 (16.2)  0.710 
Severe COVID-19105 (52.8)  105 (52.8) 
Laboratory results
  RCP, mg/L  48.3 [10.9–126.5]  64.40 [17.9–147.6]  0.120 
  Fibrinogen, mg/dL  562.5 [357.3–808.5]  625 [445–777]  0.078 
  Ferritin, ng/mL  620.5 [216.5–1191.8]  312.5 [105.5–594.5]  < 0.001 
  WBC count, x103/μL  6.5 [5–9.4]  5.9 [4.4–8.5]  0.041 
  AL count, x103/μL  0.9 [0.6–1.3]  1 [0.7–1.5]  0.214 
  Platelet count, x103/μL  256 [192–342]  225.5 [179–301.5]  0.016 
Total systemic corticosteroid dose
  Dexamethasone, mg  60 [22–98]   
  Methylprednisolone, mg (Median dose [CI 95%]) (Median of equivalent dose of dexamethasone [CI 95%])  492.5 [145–1000]98.5 [29–200]   
  Prednisone, mg (Median dose [CI 95%]) (Median of equivalent dose of dexamethasone [CI 95%])  60 [28.8–152.5]9.6 [4.61–24.4]   

Data expressed as median [interquartile range] or number (percentage).

Comparisons between groups by unpaired samples using Student’s t-test, Mann–Whitney U test and chi-squared test. Abbreviations: AL = absolute lymphocyte; CG = corticosteroid group; COPD = chronic obstructive pulmonary disease; NCG = non-corticosteroid group; RCP = C-reactive protein; WBC = white blood cell.

In the group treated with corticosteroids, the median age was 68 (IQR 56–78) and 57.8% were men. The total systemic corticosteroid dose classified according to the group of corticosteroids were 60 mg (IQR 22–98) for dexamethasone, 492.5 mg (IQR 145–1000) for methylprednisolone and 60 mg (IQR 28.8–152.5) for prednisone (Table 1). The amounts of corticosteroids employed were converted to an equivalent dose of dexamethasone, resulting in a total median dexamethasone dose of 12 mg (IQR 22–98) (Table 1).

Outcomes associated with the prescription of corticosteroids

The hospital LOS was statistically shorter in the CG than in the NCG (3 [IQR 0–10] vs. 5 [IQR 2.0–8.5] days; p = 0.005). This difference might not be associated with higher mortality, given the mortality rate was not different between the groups (31% vs. 29.6%; p = 0.861); or with a higher severity of the disease at the time of hospital admission, because severity was considered in the matching process of the NCG with the CG. In fact, the CG had a higher rate of ARDS complications during hospitalisation than the NCG (p = 0.006). No differences were observed in the rate of admission to the ICU or in the development of other complications during hospitalisation (Table 2). In addition, when converting the doses of the different types of corticosteroids into equivalent doses of dexamethasone, this dose was well correlated with LOS. (r = 0.31; p = 0.058).

Table 2.

Outcomes among hospitalised patients diagnosed with COVID-19 treated or not with systemic corticosteroids.

  CG(n = 199)  NCG(n = 199) 
Length of stay in hospital  3 [0–10]  5 [2.0–8.5]  0.005 
Admission to the ICU, n (%)  21 (10.7)  16 (8.1)  0.470 
Death, n (%)  61 (31.0)  59 (29.6)  0.861 
Invasive mechanical ventilation, n(%)  11 (6.6)  15 (9.2)  0.508 
Concomitant infections during hospitalisation, n (%)  31 (15.8)  19 (9.5)  0.085 
ARDS, n (%)  31 (15.8)  13 (6.5)  0.006 
Concomitant bacterial pneumonia, n (%)  20 (10.3)  11 (5.5)  0.120 
Heart failure, n (%)  10 (5.1)  7 (3.5)  0.598 
Cardiac arrest, n (%)  5 (2.6)  5 (2.5)  1.000 
Renal insufficiency, n (%)  23 (11.8)  22 (11.1)  0.942 
Acute confusional syndrome, n (%)  26 (13.3)  26 (13.1)  1.000 
Psychiatric complications  7 (3.6)  6 (3.0)  0.985 

Data expressed as median [interquartile range] or number (percentage). Comparisons between groups by unpaired samples Student’s t-test, Mann–Whitney U test and chi-squared test. Abbreviations: ARDS = acute respiratory distress syndrome; GC = corticosteroid group; ICU = intensive care unit; NCG = non-corticosteroid group.

The LOS was dichotomised into ≤ 4 and > 4 days, which corresponded to the median of the included population. The logistic regression model revealed that the prescription of corticosteroids was associated with a 43% greater probability of being hospitalised ≤ 4 days compared with the NCG (OR 0.57 [0.37-0.87; p = 0.009]).

Analysis of the impact of the type of corticosteroid on the length of hospital stay

For this purpose, we only included patients treated with a single group of corticosteroids throughout their hospitalisation. Differences were only noticed in those treated with dexamethasone, in which 76.3% were hospitalised ≤ 4 days and 23.7% stayed > 4 days (p < 0.001). In the other groups, no differences in LOS were observed (Fig. 2).

Fig. 2.

Distribution of length of stay in hospital according to the group of corticosteroids used.

(0,07MB).
Discussion

The COVID-19 pandemic has meant, especially during the first wave, the near paralysis of hospitalisations for non-COVID-19 health problems as well as for non-urgent surgeries, in order to deal with all the patients with serious COVID-19 who required hospital admission. In addition, although the number of ICU beds has been significantly increased, in some time periods it was still insufficient19. Therefore, reducing the hospital LOS was (and still is) profoundly beneficial in helping cope with new patients who need hospitalisation.

In the first wave of the COVID-19 pandemic, we had a period in which corticosteroids were not routinely recommended and were even contraindicated, after which the first evidence supporting their use was reported18. This real-world controlled retrospective cohort study suggests that corticosteroids, specifically dexamethasone, reduced the LOS in patients with higher inflammation markers compared with the control group. As we have seen, patients in the CG expressed higher levels of platelets and white blood cells, and they had two times higher ferritin levels than those in the NCG. Severe COVID-19 is caused by an excessive systemic increase of cytokines and chemokines in the patient, also called a “cytokine storm”, which leads to immunopathological lung damage and diffuse alveolar injury, with the development of ARDS and death20. In this subgroup of patients, a hyperinflammatory phenotype has been described in which the serum concentrations of inflammatory and coagulation markers (including ferritin, D-dimer, and C-reactive protein), as well as pro-inflammatory cytokines (such as IL-2R, IL-6, IL-10 and tumour necrosis factor-α) are increased, accompanied by reduced lymphocytes and neutrophils with immunometabolic reprogramming13,21,22. Given corticosteroids are potent immunomodulatory drugs that can break the inflammatory feedforward loop in some individuals 11, as we have seen in the CG group, those with higher inflammation might obtain a greater benefit in terms of LOS11–13,21.

This investigation occurred during a time period in which the first evidence on the benefit of corticosteroids in COVID-19 was being published. At the time of this study, given the data were heterogeneous and we did not know which corticosteroid type was the most appropriate, our hospital protocol allowed us to choose between the 3 corticosteroids described based on the criteria of the attending physicians. We have shown that, while dexamethasone reduces the LOS, methylprednisolone and prednisone did not achieve this outcome.

Most of the evidence accumulated to date on COVID-19 is on dexamethasone. Indeed, the largest randomised study with corticosteroids in severe COVID-19 was the RECOVERY trial, in which it was observed that dexamethasone administration led to a reduction in mortality in patients with respiratory failure3. This outcome has been further supported in 2 meta-analyses that included a high number of critically ill patients with heterogeneous data23,24. Methylprednisolone has also been shown better clinical outcomes, to increase ventilator-free days, and a lower mortality rate in moderate to severe COVID-1914,25,26. In fact, there have been published two randomized trials with hospitalized COVID-19 patients in which methylprednisolone demonstrated a lower ventilator use and shorter length of hospital stay compared to dexamethasone27,28.

It is important to note that, when assessed both clinical trials, the applied dose of methylprednisolone was much higher than that of dexamethasone, which makes difficult to draw conclusions regarding whether methylprednisolone is better option than methylprednisolone, or if the higher dose of corticosteroid is the reason for the improvement in this group of patients. In the other hand, when comparing the results of our study with other series, we have several observations. First, although this cohort exhibited a higher mortality rate than that of the RECOVERY trial3, it is within the range reported in other series2–4. We must consider the selection bias of randomised clinical trials, in which the most severe patients could be excluded. Fortunately, mortality might be decreasing as the pandemic progresses. Second, there was also a lower proportion of patients who were admitted to the ICU compared with other cohorts3,4,29. This difference is probably due to the participation of the Intermediate Respiratory Care Units within the Pulmonary Department in our hospital during the pandemic19,30. Noninvasive ventilation and other noninvasive respiratory support, such as high-flow nasal cannula oxygen therapy, have played an important role here1,29,31. These therapies could be applied together with close cardiorespiratory monitoring in these units to try to reduce or delay ICU admissions among patients who require noninvasive respiratory support in a crisis situation, as well as to manage early discharges from the ICU and for those patients who were ineligible for admission to the ICU due to comorbidities.

The main strength of our study is that it is a real-world cohort at a time when corticosteroid treatment had started; therefore, corticosteroid treatment groups could be compared in the same clinical setting (one hospital’s treatment protocols, during the same COVID-19 surge). Additionally, we included a control group, matched for sex, age and severity of disease, and representative of a large proportion of hospitalised patients with COVID-19 in Spain.

This study has several potential concerns and limitations. First, it is a single-centre study with a limited sample size, which reduces the external validity of our results and is insufficient to analyse the effect on mortality. However, it is larger than most of the observational studies evaluating corticoid effects14,26,27. Second, although we have explored several baseline characteristics of the patients, due to the design of the study and its retrospective nature, it is possible that confounders have not been evaluated. Nevertheless, the data have been extracted from a complex database that includes a multitude of possible confounders as described previously. Third, the cross-sectional design only permits assessing potential associations or relationships. To evaluate causality, it would be necessary to conduct a longitudinal study with long-term patient follow-up. Additionally, we have no information about the need for oxygen supplementation or noninvasive mechanical ventilation. A final limitation is that, at the time of the compilation of these results, we did not have data on long-term outcomes and mortality, which would further enrich the results. However, these patients are in a post-COVID follow-up consultation, which could resolve this limitation in the future.

In conclusion, corticosteroids, especially dexamethasone, might reduce the length of stay in hospitalised patients, which would have a positive impact on hospital capacity during the COVID-19 pandemic.

Author contributions

  • -

    Ester Zamarrón: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Roles/Writing - original draft; Writing - review & editing.

  • -

    Carlos Carpio: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Roles/Writing - original draft; Writing - review & editing

  • -

    Elena Villamañán: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Supervision; Validation; Visualization; Roles/Writing - review & editing

  • -

    Rodolfo Álvarez-Sala: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Roles/Writing - original draft; Writing - review & editing

  • -

    Alberto M Borobia: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Writing - review & editing

  • -

    Luis Gómez-Carrera: Conceptualization; Supervision; Validation; Visualization; Roles/Writing Writing - review & editing

  • -

    Antonio Buño: Data curation; Formal analysis; Supervision; Validation; Visualization; Roles/Writing Writing - review & editing

  • -

    Concepción Prados: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Resources; Software; Supervision; Validation; Visualization; Roles/Writing - original draft; Writing - review & editing

Acknowledgements

We would like to thank María Jiménez González from the Central Clinical Research Unit at La Paz University Hospital for her collaboration in the statistical analysis.

Funding: The authors declare that they have not received funding to perform this article.

Appendix A
COVID HULP group

SURNAME  NAME 
Committee:  Scientific 
Arribas  José Ramón 
Borobia  Alberto M. 
Carcas-Sansuán  Antonio 
Frías  Jesús 
Ramírez  Elena 
Martín-Quirós  Alejandro 
Quintana-Díaz  Manuel 
Mingorance  Jesús 
Arnalich  Francisco 
Moreno  Francisco 
Carlos Figueiras  Juan 
García-Arenzana  Nicolás 
Department:  Microbiology 
Montero Vega  María Dolores 
Romero Gómez  María Pilar 
Toro-Rueda  Carlos 
García-Bujalance  Silvia 
Ruiz-Carrascoso  Guillermo 
Cendejas-Bueno  Emilio 
Falces-Romero  Iker 
Lázaro-Perona  Fernando 
Ruiz-Bastián  Mario 
Gutiérrez-Arroyo  Almudena 
Girón De Velasco-Sada  Patricia 
Dahdouh  Elie 
Gómez-Arroyo  Bartolomé 
García-Sánchez  Consuelo 
Guedez-López  Virginia 
Bloise-Sánchez  Iván 
Alguacil-Guillén  Marina 
Liras-Hernández  Maria Gracia 
Sánchez-Castellano  Miguel Angel 
García-Clemente  Paloma 
González-Donapetry  Patricia 
San José-Villar  Sol 
de Pablos Gómez  Manuela 
Gómez-Gil  Rosa 
Corcuera-Pindado  Maria Teresa 
Rico-Nieto  Alicia 
Department:  Pharmacy 
Herrero  Alicia 
Medicine  Laboratory 
Prieto Arribas  Daniel 
Oliver-Saez  Paloma 
Mora Corcovado  Roberto 
Fernández-Calle  Pilar 
Alcaide Martín  Mª José 
Díaz-Garzón Marco  Jorge 
Fernández-Puntero  Belén 
Nuñez Cabetas  Rocío 
Crespo Sánchez  Gema 
Rodriguez Fraga  Olaia 
Mendez del Sol  Helena 
Duque Alcorta  Marta 
Gomez Rioja  Rubén 
Sanz de Pedro  María 
Pascual García  Lydia 
Segovia Amaro  Marta 
Iturzaeta Sánchez  Jose Manuel 
Rodriguez Gutiérrez  Mercedes 
Perez Garcia Morillon  Amparo 
Martinez Gallego  Miguel Angel 
Fabre Estremera  Blanca 
Martinez  Estefaní 
Moreno Parra  Isabel 
Rodriguez Roca  Neila 
Ortiz Sánchez  Daniel 
Simon Velasco  Manuela 
Gabriela Tomoiu  Ileana 
Pizarro Sanchez  Cristina 
Montero San Martín  Blanca 
Qasem Moreno  Ana Laila 
Gómez López  Marta 
Casares Guerrero  Ismael 
Buño Soto  Antonio 
Department:  Radiology 
Martí de Gracia  Milagros 
Parra Gordo  Luz 
Diez Tascón  Aurea 
Ossaba Vélez  Silvia 
Pinilla  Inmaculada 
Cuesta  Emilio 
Fernández-Velilla  María 
Torres  Maria Isabel 
Garzón.  Gonzalo 
Medicine  Preventive 
Pérez-Blanco  Verónica 
Quintás-Viqueira  Almudena 
San Juan  Isabel 
Cantero-Escribano  José Miguel 
Pérez-Romero  César 
Castro-Martínez  Mercedes 
Hernández-Rivas  Lucia 
Pedraz  Teresa 
Fernández-Bretón  Eva 
García-Vaz  Claudia 
Robustillo-Rodela  Ana 
Medicine  Emergency 
Torres Santos-Olmo  Rosario María 
Rivera Núñez  Angélica 
Fernández Fernández  Ignacio 
Noguerol Gutiérrez  Marina 
Martínez Virto  Ana María 
González Viñolis  Manuel 
Cabrera Gamero  Regina 
Mayayo Alvira  Rosa 
Marín Baselga  Raquel 
Lo-Iacono García  Victoria 
Lerín Baratas  Macarena 
Romero Gallego-Acho  Paloma 
Reche Martínez  Begoña 
Tejada Sorados  Renzo 
Rico Briñas  Mikel 
Deza Palacios  Ricardo 
Fabra Cadenas  Sara 
Arroyo Rico  Isabel 
Dani Ben-Abdellah  Lubna 
Labajo Montero  Laura 
Soriano Arroyo  Rubén 
López Corcuera  Lorena 
Calvin García  Elena 
Martínez Álvarez  Susana 
López-Tappero Irazábal  Laura 
Pilares Barco  Martín 
González Peña  Olga 
Bejarano Redondo  Guillermina 
Iglesias Sigüenza  Alberto 
Tung Chen  Yale 
Maroun Eid  Charbel 
Bravo Lizcano  Ruth 
Silvestre Niño  Miguel 
Perdomo García  Frank 
Alonso González  Berta 
Antón Huguet  Berta 
Arenas Berenguer  Isabel 
Cabré-Verdiell Surribas  Clara 
Marqués González  Francisco 
Muñoz Del Val  Elena 
Molina  María Ángeles 
Cancelliere Fernández  Nataly 
Pastor Yvorra  Sivia 
Frade Pardo  Laura 
López Arévalo  Paloma 
García  Isabel 
Medicine  Internal 
Fernández Capitán  Carmen 
González Garcia  Juan José 
Herrero  Juan 
Quesada Simón  María Angustias 
Robles Marhuenda  Angel 
Soto Abanedes  Clara 
Noblejas Mozo  Ana María 
Ramos  Juan Carlos 
Jaras Hernandez  Maria Jesús 
Martinez Robles  Elena 
Moreno Fernandez  Alberto 
Sanchez Purificación  Aquilino 
Martin Gutiérrez  Juan Carlos 
Martinez Hernández  Pedro Luis 
Sancho Bueso  Teresa 
Lorenzo Hernández  Alicia 
Gutierrez Sancerni  Belén 
Salgueiro  Giorgina 
Martin Carbonero  Luz 
Mostaza  Jose mAría 
Martinez-López  María Angeles 
Hontañon  Victor 
Menéndez  Araceli 
Alvarez Troncoso  Jorge 
Castellano  Arancha 
Marcelo Calvo  Cristina 
Vives Beltrán  Ivo 
Ramos Ruperto  Luis 
Daroca Bengoa  German 
Arcos Rueda  María 
Vasquez Manau  Julia 
Fernández Cidón  Pelayo 
Herrero Gil  Carmen Rosario 
Palmier Peláez  Esmeralda 
Untoria Tabares  Yeray 
Lahoz  Carlos 
Estirado  Eva 
Hernández  Clara 
Garcia-Iglesias  Francisca 
Monteoliva  Enrique 
Martínez  Mónica 
Varas  Marta 
González Alegre  Teresa 
Valencia  Maria Eulalia 
Moreno  Victoria 
Montes.  Maria Luisa 
Department:  Neumology 
Alcolea Batres  Sergio 
Cabanillas Martín  Juan José 
Carpio Segura  Carlos 
Casitas Mateo  Raquel 
Fernández-Bujarrabal Villoslada  Jaime 
Fernández Navarro  Isabel 
Fernández Lahera  Juan 
García Quero  Cristina 
Hidalgo Sánchez  María 
Galera Martínez  Raúl 
García Río  Francisco 
Gómez Carrera  Luis 
Gómez Mendieta  María Antonia 
Mangas Moro  Alberto 
Martínez Cerón  Elisabet 
Martínez Redondo  María 
Martínez Abad  Yolanda 
Martínez-Verdasco  Antonio 
Plaza Moreno  Cristina 
Quirós Fernández  Sarai 
Romera Cano  Delia 
Romero Ribate  David 
Sánchez Sánchez  Begoña 
Santiago Recuerda  Ana 
Villasante Fernández-Montes  Carlos 
Zamarrón De Lucas  Ester 
Arnalich Montiel  Victoria 
Mariscal Aguilar  Pablo 
Falcone  Adalgisa 
Laorden Escudero  Daniel 
Prados Sánchez  María Concepción 
Álvarez-Sala Walther  Rodolfo 
Care  Intensive 
García  Andony 
Arévalo  Cristina 
Gutiérrez  Carola 
Yus  Santiago 
Asensio  Maria José 
Sánchez  Manolo 
Manuel Añón  Jose 
Manzanares  Jesús 
García De Lorenzo  Abelardo 
Perales  Eva 
Civantos  Belén 
Cachafeiro  Lucía 
Agrifoglio  Alexander 
Estébanez  Belén 
Flores  Eva 
Hernández  Mónica 
Millán  Pablo 
Rodríguez  Montserrat 
Nanwani  Kapil 
Intensive  Pediatric 
Arizcun  Beatriz 
Pérez-Costa  Elena 
Rodríguez-Álvarez  Diego 
Sánchez-Martín  María 
Quesada  Úrsula 
Román-Hernández  Carmen 
Dorao  Paloma 
Álvarez-Rojas  Elena 
Menéndez  Juan José 
Verdú  Cristina 
Gómez-Zamora  Ana 
Schüffelmann  Cristina 
Calderón-Llopis  Belén 
Laplaza-González  María 
Río-García  Miguel 
Amores-Hernández  Irene 
Rodríguez-Rubio  Miguel 
de la Oliva  Pedro 
Department:  Cardiology 
Ruiz  Jose 
Rosillo  Sandra 
González  Oscar 
Iniesta  Angel 
Ponz.  Ines 
Department:  Anesthesiology 
Muñoz Ramón  José María 
Hernández Gancedo  María Carmen 
Uña Orejón  Rafael 
Sanabria Carretero  Pascual 
Moreno Gómez-Limón  Isidro 
Seiz-Martinez  Alverio 
Guasch-Arévalo  Emilia 
Martín-Carrasco  Cristina 
Alvar  Elena 
Serrá  Lucía 
Iannuccelli  Fabricio 
Latorre  Julieta 
Casares  Sandra 
Valbuena  Isabel 
Díaz Díez Picazo  Luis 
Rodríguez Roca  Cristina 
Cervera  Omar 
García de las Heras  Esteban 
Durán  Pilar 
Castro  Carmen 
Manrique de Lara  Carlos 
Veganzones  Javier 
López-Tofiño  Araceli 
Fernandez-Cerezo  Estefanía 
Zurita  Sergio 
López-Martinez  Mercedes 
Prim  Teresa 
Alvárez Del Vayo  Julía 
Alcaraz  Gabriela 
Castro  Luis 
Yagüe  Julio 
Díaz-Carrasco  Sofía 
González-Pizarro  Patricio 
Montero  Ana 
Sagra  Francisco Javier 
Suárez.  Alejandro 
Care  Palliative 
Díez Porres  Leyre 
Varela Cerdeira  María 
Alonso Babarro  Alberto 
Entry  Data 
Abellán Martínez  Francisco 
Alonso Eiras  Jorge Ignacio 
Álvarez Brandt  Alejandra 
Archinà  Martina 
Arribas Terradillos  Silvia 
Baselga Puente  Trinidad 
Barco Núñez  Pilar 
Barrera López  Natalia Guadalupe 
Barrera López  Lorena 
Bartrina Tarrio  Andres 
Bassani  Gemma 
Betancort De la Torre  Paula 
Blanco Bartolomé  Irene 
Blasco Andres  Celia 
Brieba Plata  Lucia 
Cadenas Gota  Fernando 
Carrera Vázquez  Paloma 
Cascajares Sanz  Carlota 
Catino  Arianna 
Cavallé Pulla  Raquel 
Ceniza Pena  Daniel 
Conde Alonso  Ylenia María 
Currás Sánchez  Laura 
Daltro Lage  Marcelo 
Esteban Romero  Ana 
Fernández Vidal  María Luisa 
Ferrer Ortiz  Inés 
de la Fuente Regaño  Lydia 
Galindo Ballesteros  Pablo 
Garcia-Bellido Ruiz  Sara 
García-Mochales Fortún  Carlos 
Gómez Ballesteros  Teresa 
Gómez Domínguez  Cecilia 
González Aguado  Nelsa 
González García  Sofía 
Guisández Martín  Jorge 
Hernández Liebo  Paula Alejandra 
Hernando Nieto  Raquel 
Llorente Cortijo  Irene María 
Marín García  Antonio 
López Pirez  Pilar 
Mejuto Illade  Lucía 
Palma  Marco 
Peña Hidalgo  Adrian 
Platero Dueñas  Lucía 
Pujol Pocull  David 
Ramírez Verdyguer  Miguel 
Redondo Gutierrez  Marta 
Reinoso Lozano  Francisco 
Rodríguez Revillas  Ana 
Rodríguez Saenz de Urturi  Alejandro 
Romero Imaz  Lucía 
Sánchez Rico  Susana 
Sánchez Santiuste  Mónica 
Serrano de la Fuente  Patricia 
Serrano Martín  Henar 
Silva Freire  Thamires 
Soria Alcaide  Eva 
Suárez Plaza  Andrés Enrique 
Tejero Soriano  Beatriz 
Torrecillas Mainez  Andrea 
Torres Cortés  Javier 
Valentín-Pastrana Aguilar  María de Las Mercedes 
Villanueva Freije  Angélica 
Virgós Varela  Marta 
Yagüe Barrado  Marta 
Yustas Benitez.  Natalia 
Prevention  Risk 
Núñez  Mª Concepción 
Pharmacology  Clinical 
Montserrat  Jaime 
Queiruga  Javier 
Rodriguez Mariblanca  Amelia 
Martínez de Soto  Lucía 
Urroz  Mikel 
Seco  Enrique 
Zubimendi  Mónica 
Stuart  Stephan 
Díaz  Lucía 
García  Irene 
Management:  Data 
García Morales  María Teresa 
Martín-Vega  Alberto 
Revision  Data 
Caro  Abel 
Martínez-Alés  Gonzalo 

Appendix B
POSTCOVID HULP GROUP

Department  Surname  Name 
Medicine  Arnalich Fernández  Francisco 
  Fernández Capitán  Carmen 
  Salgueiro Origlia  Giorgina 
  Moreno Fernández  Alberto 
Laboratory  Buño Soto  Antonio 
  Qasem Moreno  Ana Laila 
  Prieto Arribas  Daniel 
Respiratory Medicine  ÁlvarezSala Walther  Rodolfo 
  Gómez Carrera  Luis 
  Carpio Segura  Carlos 
  Mariscal Aguilar  Pablo 
  Laorden Escudero  Daniel 
  Plaza Moreno  Cristina 
  Arnalich Montiel  Victoria 
Central Clinical Research Unit  Borobia Pérez  Alberto 
  Jiménez González  María 
Nursing  Alegre Segura  Carmen 
  Cuesta Luzzy  Tania 
  Martínez Gómez  Alejandra 
  Moreno Juan  Ana María 
  Rey Iborra  Cristina 
  Sanz Jiménez  Andrea 

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The two authors contributed equally to this work.

The complete list of the members of the COVID@HULP Working Group is provided in the Appendix A.

The complete list of the members of the POSTCOVID@HULPWorking Group is provided in the Appendix B.

Copyright © 2022. Sociedad Española de Farmacia Hospitalaria (S.E.F.H)
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