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1.
Gac Med Mex ; 159(1): 65-68, 2023.
Article in English | MEDLINE | ID: covidwho-2250663

ABSTRACT

INTRODUCTION: Whether political, scientific and medical development in a country is associated with better clinical results according to gender in patients with COVID-19 has not yet been clearly elucidated. OBJECTIVE: To determine the trends of COVID-19-related in-hospital mortality in women and men from March 2020 to February 2022. METHODS: Clinical data of all patients with COVID-19 cared for at 21 Spanish hospitals were used, both of those who were discharged and of those who died during hospitalization. The association between hospital length of stay and mortality was analyzed with logistic regression models. RESULTS: Out of 7,974 patients that were included, 3,234 were women; 928 patients died. A significant decreasing trend in mortality was identified. When the analysis was carried out by gender, no significant mortality trend was found in women (OR = 0.96 [0.90-1.03], p = 0.239), while in men there was a significant decreasing trend identified (OR = 0.87 [0.82-0.92], p < 0.001). CONCLUSION: Health policies, together with clinical and preventive interventions, may explain these results. Response to treatment and behavioral differences may explain why mortality does not decrease for women.


INTRODUCCIÓN: Todavía no se comprende si el desarrollo político, científico y médico en un país se asocia a mejores resultados clínicos de los pacientes con COVID-19 según el sexo. OBJETIVO: Determinar las tendencias de mortalidad hospitalaria asociada a COVID-19 en mujeres y hombres entre marzo de 2020 y febrero de 2022. MÉTODOS: Se utilizaron los datos clínicos de todos los pacientes con COVID-19 atendidos en 21 hospitales españoles, tanto de quienes fueron dados de alta como de quienes fallecieron durante el ingreso. La asociación entre la fecha del ingreso y la mortalidad se analizó con modelos de regresión logística. RESULTADOS: Fueron incluidos 7974 pacientes, de los cuales 3234 fueron mujeres y 928 fallecieron. Se encontró una tendencia significativa y decreciente en la mortalidad según avanzaba la fecha del ingreso. Cuando el análisis se realizó por sexos, no se halló una tendencia significativa en las mujeres (RM = 0.96 [0.90-1.03], p = 0.239), pero sí en los hombres (RM = 0.87 [0.82-0.92], p < 0.001). CONCLUSIÓN: Las políticas de salud, junto con las intervenciones clínicas y preventivas, pueden dar cuenta de los resultados. Diferencias en la respuesta al tratamiento o en los comportamientos pueden explicar por qué la mortalidad no disminuye en las mujeres.


Subject(s)
COVID-19 , Male , Humans , Female , Hospital Mortality , Hospitalization , Patient Discharge , Hospitals , Retrospective Studies
2.
J Antimicrob Chemother ; 77(2): 303-309, 2022 02 02.
Article in English | MEDLINE | ID: covidwho-1522228

ABSTRACT

BACKGROUND: Azithromycin has been widely used in the management of COVID-19. However, the evidence on its actual effects remains disperse and difficult to apply in clinical settings. This systematic review and meta-analysis summarizes the available evidence to date on the beneficial and adverse effects of azithromycin in patients with COVID-19. METHODS: The PRISMA 2020 statement criteria were followed. Randomized controlled trials (RCTs) and observational studies comparing clinical outcomes of patients treated with and without azithromycin, indexed until 5 July 2021, were searched in PubMed, Embase, The Web of Science, Scopus, The Cochrane Central Register of Controlled Trials and MedRXivs. We used random-effects models to estimate pooled effect size from aggregate data. RESULTS: The initial search produced 4950 results. Finally, 16 studies, 5 RCTs and 11 with an observational design, with a total of 22 984 patients, were included. The meta-analysis showed no difference in mortality for those treated with or without azithromycin, in observational studies [OR: 0.90 (0.66-1.24)], RCTs [OR: 0.97 (0.87-1.08)] and also when both types of studies were pooled together [with an overall OR: 0.95 (0.79-1.13)]. Different individual studies also reported no significant difference for those treated with or without azithromycin in need for hospital admission or time to admission from ambulatory settings, clinical severity, need for intensive care, or adverse effects. CONCLUSIONS: The results presented in this systematic review do not support the use of azithromycin in the management of COVID-19. Future research on treatment for patients with COVID-19 may need to focus on other drugs.


Subject(s)
Azithromycin , COVID-19 Drug Treatment , Azithromycin/adverse effects , Critical Care , Humans , SARS-CoV-2
5.
Intern Emerg Med ; 15(8): 1501-1506, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-807082

ABSTRACT

This study investigates the association between the treatment with hydroxychloroquine and mortality in patients admitted with COVID-19. Routinely recorded, clinical data, up to the 24th of April 2020, from the 2075 patients with COVID-19, admitted in 17 hospitals in Spain between the 1st of March and the 20th of April 2020 were used. The following variables were extracted for this study: age, gender, temperature, and saturation of oxygen on admission, treatment with hydroxychloroquine, azithromycin, heparin, steroids, tocilizumab, a combination of lopinavir with ritonavir, and oseltamivir, together with data on mortality. Multivariable logistic regression models were used to investigate the associations. At the time of collecting the data, 301 patients had died, 1449 had been discharged home from the hospitals, 240 were still admitted, and 85 had been transferred to hospitals not included in the study. Median follow-up time was 8 (IQR 5-12) days. Hydroxychloroquine had been used in 1857 patients. Hydroxychloroquine was associated with lower mortality when the model was adjusted for age and gender, with OR (95% CI): 0.44 (0.29-0.67). This association remained significant when saturation of oxygen < 90% and temperature > 37 °C were added to de model with OR 0.45 (0.30-0.68) p < 0.001, and also when all the other drugs, and time of admission, were included as covariates. The association between hydroxychloroquine and lower mortality observed in this study can be acknowledged by clinicians in hospitals and in the community. Randomized-controlled trials to assess the causal effects of hydroxychloroquine in different therapeutic regimes are required.


Subject(s)
Coronavirus Infections/complications , Hospital Mortality/trends , Hydroxychloroquine/pharmacology , Pneumonia, Viral/complications , Adult , COVID-19 , Coronavirus Infections/mortality , Enzyme Inhibitors/pharmacology , Enzyme Inhibitors/therapeutic use , Female , Humans , Hydroxychloroquine/therapeutic use , Logistic Models , Male , Middle Aged , Pandemics/statistics & numerical data , Pneumonia, Viral/mortality , Spain , Time Factors , Treatment Outcome
6.
J Thromb Thrombolysis ; 50(2): 298-301, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-437398

ABSTRACT

This study investigates the association between the treatment with heparin and mortality in patients admitted with Covid-19. Routinely recorded, clinical data, up to the 24th of April 2020, from the 2075 patients with Covid-19, admitted in 17 hospitals in Spain between the 1st of March and the 20th of April 2020 were used. The following variables were extracted for this study: age, gender, temperature, and saturation of oxygen on admission, treatment with heparin, hydroxychloroquine, azithromycin, steroids, tocilizumab, a combination of lopinavir with ritonavir, and oseltamivir, together with data on mortality. Multivariable logistic regression models were used to investigate the associations. At the time of collecting the data, 301 patients had died, 1447 had been discharged home from the hospitals, 201 were still admitted, and 126 had been transferred to hospitals not included in the study. Median follow up time was 8 (IQR 5-12) days. Heparin had been used in 1734 patients. Heparin was associated with lower mortality when the model was adjusted for age and gender, with OR (95% CI) 0.55 (0.37-0.82) p = 0.003. This association remained significant when saturation of oxygen < 90%, and temperature > 37 °C were added to de model with OR 0.54 (0.36-0.82) p = 0.003, and also when all the other drugs were included as covariates OR 0.42 (0.26-0.66) p < 0.001. The association between heparin and lower mortality observed in this study can be acknowledged by clinicians in hospitals and in the community. Randomized controlled trials to assess the causal effects of heparin in different therapeutic regimes are required.


Subject(s)
Anticoagulants/therapeutic use , Antiviral Agents/therapeutic use , Betacoronavirus/drug effects , Blood Coagulation Disorders/drug therapy , Blood Coagulation/drug effects , Coronavirus Infections/drug therapy , Heparin/therapeutic use , Pneumonia, Viral/drug therapy , Aged , Anticoagulants/adverse effects , Antiviral Agents/adverse effects , Betacoronavirus/pathogenicity , Blood Coagulation Disorders/blood , Blood Coagulation Disorders/diagnosis , Blood Coagulation Disorders/virology , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/mortality , Coronavirus Infections/virology , Female , Heparin/adverse effects , Hospital Mortality , Host-Pathogen Interactions , Humans , Male , Pandemics , Pneumonia, Viral/blood , Pneumonia, Viral/mortality , Pneumonia, Viral/virology , Risk Assessment , Risk Factors , SARS-CoV-2 , Spain , Time Factors , Treatment Outcome , COVID-19 Drug Treatment
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