ABSTRACT
INTRODUCTION: Atrial fibrillation and associated comorbidities pose a risk factor for mortality, morbidity and development of complications in patients admitted for COVID-19. OBJECTIVES: To describe the clinical, epidemiological, radiological and analytical characteristics of patients with atrial fibrillation admitted for COVID-19 in Spain. Secondarily, we aim to identify those variables associated with mortality and poor prognosis of COVID-19 in patients with atrial fibrillation. METHODS: Retrospective, observational, multicenter, nationwide, retrospective study of patients hospitalized for COVID-19 from March 1 to October 1, 2020. Data were obtained from the SEMI-COVID-19 Registry of the Spanish Society of Internal Medicine (SEMI) in which 150 Spanish hospitals participate. RESULTS: Between March 1 and October 1, 2020, data from a total of 16,461 patients were entered into the SEMI-COVID-19 registry. 1816 (11%) had a history of atrial fibrillation and the number of deaths among AF patients amounted to 738 (41%). Regarding clinical characteristics, deceased patients were admitted with a higher heart rate (88.38 vs. 84.95; P>0.01), with a higher percentage of respiratory failure (67.2 vs. 20.1%; P<0.01) and high tachypnea (58 vs. 30%; P<0.01). The comorbidities that presented statistically significant differences in the deceased group were: age, hypertension and diabetes with target organ involvement. There was also a higher prevalence of a history of cardiovascular disease in the deceased. On multivariate analysis, DOACs treatment had a protective role for mortality (OR: 0.597; CI: 0.402-0.888; P=0.011). CONCLUSIONS: Previous treatment with DOACs and DOACs treatment during admission seem to have a protective role in patients with atrial fibrillation, although this fact should be verified in prospective studies.
Subject(s)
Atrial Fibrillation , COVID-19 , Humans , Atrial Fibrillation/complications , Atrial Fibrillation/epidemiology , Atrial Fibrillation/drug therapy , COVID-19/complications , Retrospective Studies , Prospective Studies , SARS-CoV-2 , Registries , Risk FactorsABSTRACT
Objetivo: Comparar las características, evolución y pronóstico de los pacientes con EPOC hospitalizados por COVID-19 en España en la primera ola con los de la segunda ola. Material y métodos: Estudio observacional de los pacientes hospitalizados en territorio español con diagnóstico de EPOC incluidos en el registro SEMI-COVID-19. Se compararon los antecedentes, la clínica, resultados analíticos y radiológicos, tratamiento y evolución de los pacientes con EPOC hospitalizados en la primera ola (desde marzo hasta junio 2020) frente a los hospitalizados en la segunda ola (desde julio hasta diciembre 2020). Se analizaron los factores de mal pronóstico, definidos como mortalidad por todas las causas y un evento combinado que incluía mortalidad, oxigenoterapia con alto flujo, ventilación mecánica e ingreso en UCI. Resultados: De 21642 pacientes del Registro SEMI COVID-19, están diagnosticados de EPOC el 6,9%, 1128 (6,8%) en la OLA1 y 374 (7,7%) en la OLA2 (p=0,04). Los pacientes de la OLA2 presentan menos tos seca, fiebre y disnea, hipoxemia (43% vs 36%, p < 0,05) y condensación radiológica (46% vs 31%, p < 0,05) que los de la OLA1. La mortalidad es menor en la OLA2 (35% vs 28,6%, p = 0,01). En el global de pacientes la mortalidad y la variable combinada de mal pronóstico fue menor entre los pacientes que recibieron tratamiento inhalador. Conclusiones: Los pacientes con EPOC con ingreso hospitalario por COVID-19 en la segunda ola presentan menos insuficiencia respiratoria y menos afectación radiológica, con mejor pronóstico. Estos pacientes deben recibir tratamiento broncodilatador si no hay contraindicación para el mismo.
ABSTRACT
The significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for in-hospital death due to COVID-19 designed using clinical and analytical parameters of patients diagnosed in the first wave of the pandemic. The nomogram uses five variables measured on arrival to the emergency department (ED): age, sex, oxygen saturation, C-reactive protein level, and neutrophil-to-platelet ratio. Validation was performed in the Spanish SEMI-COVID-19 Registry, which included consecutive patients hospitalized with confirmed COVID-19 in Spain. The cohort was divided into three time periods: T1 from February 1 to June 10, 2020 (first wave), T2 from June 11 to December 31, 2020 (second wave, pre-vaccination period), and T3 from January 1 to December 5, 2021 (vaccination period). The model's accuracy in predicting in-hospital COVID-19 mortality was assessed using the area under the receiver operating characteristics curve (AUROC). Clinical and laboratory data from 22,566 patients were analyzed: 15,976 (70.7%) from T1, 4,233 (18.7%) from T2, and 2,357 from T3 (10.4%). AUROC of the RIM Score-COVID in the entire SEMI-COVID-19 Registry was 0.823 (95%CI 0.819-0.827) and was 0.834 (95%CI 0.830-0.839) in T1, 0.792 (95%CI 0.781-0.803) in T2, and 0.799 (95%CI 0.785-0.813) in T3. The RIM Score-COVID is a simple, easy-to-use method for predicting in-hospital COVID-19 mortality that uses parameters measured in most EDs. This tool showed good predictive ability in successive disease waves.
Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Hospital Mortality , Emergency Service, Hospital , ROC Curve , Registries , Retrospective StudiesABSTRACT
Introduction: Smoking can play a key role in SARS-CoV-2 infection and in the course of the disease. Previous studies have conflicting or inconclusive results on the prevalence of smoking and the severity of the coronavirus disease (COVID-19). Methods: Observational, multicenter, retrospective cohort study of 14,260 patients admitted for COVID-19 in Spanish hospitals between February and September 2020. Their clinical characteristics were recorded and the patients were classified into a smoking group (active or former smokers) or a non-smoking group (never smokers). The patients were followed up to one month after discharge. Differences between groups were analysed. A multivariate logistic regression and Kapplan Meier curves analysed the relationship between smoking and in-hospital mortality. Results: The median age was 68.6 (55.8-79.1) years, with 57.7% of males. Smoking patients were older (69.9 (59.6-78.0 years)), more frequently male (80.3%) and with higher Charlson index (4 (2-6)) than non-smoking patients. Smoking patients presented a worse evolution, with a higher rate of admission to the intensive care unit (ICU) (10.4 vs. 8.1%), higher in-hospital mortality (22.5 vs. 16.4%) and readmission at one month (5.8 vs. 4.0%) than in non-smoking patients. After multivariate analysis, smoking remained associated with these events. Conclusions: Active or past smoking is an independent predictor of poor prognosis in patients with COVID-19. It is associated with higher ICU admissions and in-hospital mortality.
Introducción: El tabaquismo puede tener un papel importante en la infección por SARS-CoV-2 y en el curso de la enfermedad. Los estudios previos muestran resultados contradictorios o no concluyentes sobre la prevalencia de fumar y la severidad en la enfermedad por coronavirus (COVID-19). Material y métodos: Estudio de cohortes observacional, multicéntrico y retrospectivo de 14.260 pacientes que ingresaron por COVID-19 en hospitales españoles desde febrero a septiembre de 2020. Se registraron sus características clínicas y se clasificaron en el grupo con tabaquismo si tabaquismo activo o previo o en el grupo sin tabaquismo si nunca habían fumado. Se realizó un seguimiento hasta un mes después del alta. Se analizaron las diferencias entre grupos. La relación entre tabaquismo y mortalidad intrahospitalaria se valoró mediante una regresión logística multivariante y curvas de Kapplan Meier. Resultados: La mediana de edad fue 68,6 (55,879,1) años, con un 57,7% de varones. El grupo con tabaquismo presentó mayor edad (69,9 (59,678,0 años)), predominio masculino (80,3%) y mayor índice de Charlson (4 (2−6)). La evolución fue peor en estos pacientes, con una mayor tasa de ingreso en UCI (10,4 vs 8,1%), mayor mortalidad intrahospitalaria (22,5 vs 16,4%) y reingreso al mes (5,8 vs 4,0%) que el grupo sin tabaquismo. Tras el análisis multivariante, el tabaquismo permanecía asociado a estos eventos. Conclusiones: El tabaquismo de forma activa o pasada es un factor predictor independiente de mal pronóstico en los pacientes con COVID-19, estando asociada a mayor probabilidad de ingreso en UCI y a mayor mortalidad intrahospitalaria.
ABSTRACT
Introduction Atrial fibrillation and associated comorbidities pose a risk factor for mortality, morbidity and development of complications in patients admitted for COVID-19. Objectives To describe the clinical, epidemiological, radiological and analytical characteristics of patients with AF admitted for COVID-19 in Spain. Secondarily, we aim to identify those variables associated with mortality and poor prognosis of COVID-19 in patients with AF. Methods Retrospective, observational, multicenter, nationwide, retrospective study of patients hospitalized for COVID-19 from March 1 to October 1, 2020. Data were obtained from the SEMI-COVID-19 Registry of the Spanish Society of Internal Medicine (SEMI) in which 150 Spanish hospitals participate. Results Between March 1 and October 1, 2020, data from a total of 16,461 patients were entered into the SEMI-COVID-19 registry. 1,816 (11%) had a history of AF and the number of deaths among AF patients amounted to 738 (41%). Regarding clinical characteristics, deceased patients were admitted with a higher heart rate (88.38 vs 84.95;p > 0.01), with a higher percentage of respiratory failure (67.2% vs 20.1%;p < 0.01) and high tachypnea (58% vs 30%;p < 0.01). The comorbidities that presented statistically significant differences in the deceased group were: age, hypertension and diabetes with target organ involvement. There was also a higher prevalence of a history of cardiovascular disease in the deceased. On multivariate analysis, DOACs treatment had a protective role for mortality (OR:0,597) IC (0,402-0,888 ;p = 0.011). Conclusions Previous treatment with DOACs and DOACs treatment during admission seem to have a protective role in patients with AF, although this fact should be verified in prospective studies.
ABSTRACT
Introduction: Atrial fibrillation and associated comorbidities pose a risk factor for mortality, morbidity and development of complications in patients admitted for COVID-19. Objectives: To describe the clinical, epidemiological, radiological and analytical characteristics of patients with AF admitted for COVID-19 in Spain. Secondarily, we aim to identify those variables associated with mortality and poor prognosis of COVID-19 in patients with AF. Methods: Retrospective, observational, multicenter, nationwide, retrospective study of patients hospitalized for COVID-19 from March 1 to October 1, 2020. Data were obtained from the SEMI-COVID-19 Registry of the Spanish Society of Internal Medicine (SEMI) in which 150 Spanish hospitals participate. Results: Between March 1 and October 1, 2020, data from a total of 16,461 patients were entered into the SEMI-COVID-19 registry. 1,816 (11%) had a history of AF and the number of deaths among AF patients amounted to 738 (41%). Regarding clinical characteristics, deceased patients were admitted with a higher heart rate (88.38 vs 84.95; pâ¯>â¯0.01), with a higher percentage of respiratory failure (67.2% vs 20.1%; pâ¯<â¯0.01) and high tachypnea (58% vs 30%; pâ¯<â¯0.01). The comorbidities that presented statistically significant differences in the deceased group were: age, hypertension and diabetes with target organ involvement. There was also a higher prevalence of a history of cardiovascular disease in the deceased. On multivariate analysis, DOACs treatment had a protective role for mortality (OR:0,597) IC (0,402-0,888 ; pâ¯=â¯0.011). Conclusions: Previous treatment with DOACs and DOACs treatment during admission seem to have a protective role in patients with AF, although this fact should be verified in prospective studies.
Introducción: La fibrilación auricular y las comorbilidades asociadas a ella suponen un factor de riesgo de mortalidad, morbilidad y desarrollo de complicaciones en los pacientes ingresados por COVID-19. Objetivos: Describir las características clínicas, epidemiológicas, radiológicas y analíticas de los pacientes con FA ingresados por COVID-19 en España. De forma secundaria, se pretende identificar aquellas variables que se asocian con mortalidad y mal pronóstico de la COVID-19 en pacientes que presentan FA. Métodos: Estudio retrospectivo, observacional y multicéntrico de ámbito nacional de pacientes hospitalizados por COVID-19 desde el 1 de marzo al 1 de octubre de 2020. Los datos fueron obtenidos del Registro SEMI-COVID-19 de la Sociedad Española de Medicina Interna (SEMI) en el que participan 150 hospitales españoles. Resultados: De un total de 16.461 pacientes en el registro SEMI-COVID-19, 1.816 (11%) tenían antecedente de FA y el número de fallecidos entre los pacientes con FA ascendió a 738 (41%). En cuanto a la clínica, los pacientes fallecidos ingresaron con una frecuencia cardíaca mayor (88,38 vs 84,95; pâ¯>â¯0,01), con mayor porcentaje de insuficiencia respiratoria (67,2% vs 20,1%; pâ¯<â¯0,01) y mayor taquipnea (58% vs 30%; pâ¯<â¯0,09). En el análisis multivariante, el tratamiento con ACOD tuvo un papel protector para la mortalidad por infección por COVID 19 (OR:0,597; IC (0,402-0,888; pâ¯=â¯0.011). Conclusiones: El tratamiento previo con ACOD como el tratamiento con ACOD durante el ingreso parecen tener un papel protector en los pacientes con FA, aunque este hecho debería ser comprobado con estudios prospectivos.
ABSTRACT
Introduction Smoking can play a key role in SARS-CoV-2 infection and in the course of the disease. Previous studies have conflicting or inconclusive results on the prevalence of smoking and the severity of the coronavirus disease (COVID-19). Methods Observational, multicenter, retrospective cohort study of 14,260 patients admitted for COVID-19 in Spanish hospitals between February and September 2020. Their clinical characteristics were recorded and the patients were classified into a smoking group (active or former smokers) or a non-smoking group (never smokers). The patients were followed up to one month after discharge. Differences between groups were analyzed. A multivariate logistic regression and Kapplan Meier curves analyzed the relationship between smoking and in-hospital mortality. Results The median age was 68.6 (55.8-79.1) years, with 57.7% of males. Smoking patients were older (69.9 (59.6-78.0 years)), more frequently male (80.3%) and with higher Charlson index (4 (2-6)) than non-smoking patients. Smoking patients presented a worse evolution, with a higher rate of admission to the intensive care unit (ICU) (10.4 vs 8.1%), higher in-hospital mortality (22.5 vs 16.4%) and readmission at one month (5.8 vs 4.0%) than in non-smoking patients. After multivariate analysis, smoking remained associated with these events. Conclusions Active or past smoking is an independent predictor of poor prognosis in patients with COVID-19. It is associated with higher ICU admissions and in-hospital mortality.
ABSTRACT
(1) Background: Large cohort studies of patients with COVID-19 treated with remdesivir have reported improved clinical outcomes, but data on older patients are scarce. Objective: This work aims to assess the potential benefit of remdesivir in unvaccinated very old patients hospitalized with COVID-19; (2) Methods: This is a retrospective analysis of patients ≥ 80 years hospitalized in Spain between 15 July and 31 December 2020 (SEMI-COVID-19 Registry). Differences in 30-day all-cause mortality were adjusted using a multivariable regression analysis. (3) Results: Of the 4331 patients admitted, 1312 (30.3%) were ≥80 years. Very old patients treated with remdesivir (n: 140, 10.7%) had a lower mortality rate than those not treated with remdesivir (OR (95% CI): 0.45 (0.29-0.69)). After multivariable adjustment by age, sex, and variables associated with lower mortality (place of COVID-19 acquisition; degree of dependence; comorbidities; dementia; duration of symptoms; admission qSOFA; chest X-ray; D-dimer; and treatment with corticosteroids, tocilizumab, beta-lactams, macrolides, and high-flow nasal canula oxygen), the use of remdesivir remained associated with a lower 30-day all-cause mortality rate (adjusted OR (95% CI): 0.40 (0.22-0.61) (p < 0.001)). (4) Conclusions: Remdesivir may reduce mortality in very old patients hospitalized with COVID-19.
ABSTRACT
(1) Background: C-reactive protein (CRP) and albumin are inflammatory markers. We analyzed the prognostic capacity of serum albumin (SA) and CRP for an outcome comprising mortality, length of stay, ICU admission, and non-invasive mechanical ventilation in hospitalized COVID-19 patients. (2) Methods: We conducted a retrospective cohort study based on the Spanish national SEMI-COVID-19 Registry. Two multivariate logistic models were adjusted for SA, CRP, and their combination. Training and testing samples were used to validate the models. (3) Results: The outcome was present in 41.1% of the 3471 participants, who had lower SA (mean [SD], 3.5 [0.6] g/dL vs. 3.8 [0.5] g/dL; p < 0.001) and higher CRP (108.9 [96.5] mg/L vs. 70.6 [70.3] mg/L; p < 0.001). In the adjusted multivariate model, both were associated with poorer evolution: SA, OR 0.674 (95% CI, 0.551-0.826; p < 0.001); CRP, OR 1.002 (95% CI, 1.001-1.004; p = 0.003). The CRP/SA model had a similar predictive capacity (honest AUC, 0.8135 [0.7865-0.8405]), with a continuously increasing risk and cutoff value of 25 showing the highest predictive capacity (OR, 1.470; 95% CI, 1.188-1.819; p < 0.001). (4) Conclusions: SA and CRP are good independent predictors of patients hospitalized with COVID-19. For the CRP/SA ratio value, 25 is the cutoff for poor clinical course.
ABSTRACT
Uncontrolled inflammation following COVID-19 infection is an important characteristic of the most seriously ill patients. The present study aims to describe the clusters of inflammation in COVID-19 and to analyze their prognostic role. This is a retrospective observational study including 15,691 patients with a high degree of inflammation. They were included in the Spanish SEMI-COVID-19 registry from March 1, 2020 to May 1, 2021. The primary outcome was in-hospital mortality. Hierarchical cluster analysis identified 7 clusters. C1 is characterized by lymphopenia, C2 by elevated ferritin, and C3 by elevated LDH. C4 is characterized by lymphopenia plus elevated CRP and LDH and frequently also ferritin. C5 is defined by elevated CRP, and C6 by elevated ferritin and D-dimer, and frequently also elevated CRP and LDH. Finally, C7 is characterized by an elevated D-dimer. The clusters with the highest in-hospital mortality were C4, C6, and C7 (17.4% vs. 18% vs. 15.6% vs. 36.8% vs. 17.5% vs. 39.3% vs. 26.4%). Inflammation clusters were found as independent factors for in-hospital mortality. In detail and, having cluster C1 as reference, the model revealed a worse prognosis for all other clusters: C2 (OR = 1.30, p = 0.001), C3 (OR = 1.14, p = 0.178), C4 (OR = 2.28, p < 0.001), C5 (OR = 1.07, p = 0.479), C6 (OR = 2.29, p < 0.001), and C7 (OR = 1.28, p = 0.001). We identified 7 groups based on the presence of lymphopenia, elevated CRP, LDH, ferritin, and D-dimer at the time of hospital admission for COVID-19. Clusters C4 (lymphopenia + LDH + CRP), C6 (ferritin + D-dimer), and C7 (D-dimer) had the worst prognosis in terms of in-hospital mortality.
Subject(s)
COVID-19 , Lymphopenia , Biomarkers , COVID-19/complications , Ferritins , Humans , Inflammation , Prognosis , Registries , Retrospective Studies , SARS-CoV-2ABSTRACT
BACKGROUND: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. OBJECTIVE: The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. DESIGN: Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. KEY RESULTS: A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. CONCLUSIONS: The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date.
Subject(s)
COVID-19 , COVID-19/diagnosis , Humans , Inflammation/diagnosis , Retrospective Studies , SARS-CoV-2 , Treatment Outcome , World Health OrganizationABSTRACT
(1) Background: This work aims to analyze clinical outcomes according to ethnic groups in patients hospitalized for COVID-19 in Spain. (2) Methods: This nationwide, retrospective, multicenter, observational study analyzed hospitalized patients with confirmed COVID-19 in 150 Spanish hospitals (SEMI-COVID-19 Registry) from 1 March 2020 to 31 December 2021. Clinical outcomes were assessed according to ethnicity (Latin Americans, Sub-Saharan Africans, Asians, North Africans, Europeans). The outcomes were in-hospital mortality (IHM), intensive care unit (ICU) admission, and the use of invasive mechanical ventilation (IMV). Associations between ethnic groups and clinical outcomes adjusted for patient characteristics and baseline Charlson Comorbidity Index values and wave were evaluated using logistic regression. (3) Results: Of 23,953 patients (median age 69.5 years, 42.9% women), 7.0% were Latin American, 1.2% were North African, 0.5% were Asian, 0.5% were Sub-Saharan African, and 89.7% were European. Ethnic minority patients were significantly younger than European patients (median (IQR) age 49.1 (40.5-58.9) to 57.1 (44.1-67.1) vs. 71.5 (59.5-81.4) years, p < 0.001). The unadjusted IHM was higher in European (21.6%) versus North African (11.4%), Asian (10.9%), Latin American (7.1%), and Sub-Saharan African (3.2%) patients. After further adjustment, the IHM was lower in Sub-Saharan African (OR 0.28 (0.10-0.79), p = 0.017) versus European patients, while ICU admission rates were higher in Latin American and North African versus European patients (OR (95%CI) 1.37 (1.17-1.60), p < 0.001) and (OR (95%CI) 1.74 (1.26-2.41), p < 0.001). Moreover, Latin American patients were 39% more likely than European patients to use IMV (OR (95%CI) 1.43 (1.21-1.71), p < 0.001). (4) Conclusion: The adjusted IHM was similar in all groups except for Sub-Saharan Africans, who had lower IHM. Latin American patients were admitted to the ICU and required IMV more often.
ABSTRACT
OBJECTIVE: To compare coronavirus disease 2019 (COVID-19) hospitalization outcomes between persons with and without HIV. DESIGN: Retrospective observational cohort study in 150 hospitals in Spain. METHODS: Patients admitted from 1 March to 8 October 2020 with COVID-19 diagnosis confirmed by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 positive) PCR test in respiratory tract samples. The primary data source was the COVID-19 Sociedad Española de Medicina Interna's registry (SEMI-COVID-19). Demographics, comorbidities, vital signs, laboratory parameters, and clinical severity as well as treatments received during admission, treatment duration, ICU admission, use of invasive mechanical ventilation, and death were recorded. Factors associated with mortality and the composite of ICU admission, invasive mechanical ventilation, and death, were analyzed. RESULTS: Data from 16â563 admissions were collected, 98 (0.59%) of which were of persons with HIV infection. These patients were younger, the percentage of male patients was higher, and their Charlson comorbidity index was also higher. Rates of mortality and composite outcome of ICU admission, invasive mechanical ventilation or death were lower among patients with HIV infection. In the logistic regression analysis, HIV infection was associated with an adjusted odds ratio of 0.53 [95% confidence interval (CI) 0.29-0.96] for the composite outcome. CONCLUSION: HIV infection was associated with a lower probability of ICU admission, invasive mechanical ventilation, or death.
Subject(s)
COVID-19 , HIV Infections , COVID-19/therapy , COVID-19 Testing , HIV Infections/complications , Hospitalization , Humans , Intensive Care Units , Male , Retrospective Studies , SARS-CoV-2 , Spain/epidemiologyABSTRACT
Introducción La fibrilación auricular y las comorbilidades asociadas a ella suponen un factor de riesgo de mortalidad, morbilidad y de desarrollo de complicaciones en los pacientes ingresados por COVID-19. Objetivos Describir las características clínicas, epidemiológicas, radiológicas y analíticas de los pacientes con fibrilación auricular ingresados por COVID-19 en España. De forma secundaria, se pretende identificar aquellas variables que se asocian con mortalidad y mal pronóstico de la COVID-19 en pacientes que presentan fibrilación auricular. Métodos Estudio retrospectivo, observacional y multicéntrico de ámbito nacional de pacientes hospitalizados por COVID-19 desde el 1 de marzo hasta el 1 de octubre de 2020. Los datos fueron obtenidos del Registro SEMI-COVID-19 de la Sociedad Española de Medicina Interna (SEMI) en el que participan 150 hospitales españoles. Resultados De un total de 16.461 pacientes en el registro SEMI-COVID-19, 1.816 (11%) tenían antecedente de fibrilación auricular y el número de fallecidos entre los pacientes con fibrilación auricular ascendió a 738 (41%). En cuanto a la clínica, los pacientes fallecidos ingresaron con una frecuencia cardíaca mayor (88,38 vs. 84,95;p > 0,01), con mayor porcentaje de insuficiencia respiratoria (67,2 vs. 20,1%;p < 0,01) y mayor taquipnea (58 vs. 30%;p< 0,09). En el análisis multivariante, el tratamiento con ACOD tuvo un papel protector para la mortalidad por infección por COVID-19 (OR: 0,597;IC: 0,402-0,888;p = 0,011). Conclusiones Tanto el tratamiento previo con ACOD como el tratamiento con ACOD durante el ingreso parecen tener un papel protector en los pacientes con fibrilación auricular, aunque este hecho debería ser comprobado con estudios prospectivos.
ABSTRACT
OBJECTIVE: To describe the impact of different doses of corticosteroids on the evolution of patients with COVID-19 pneumonia, based on the potential benefit of the non-genomic mechanism of these drugs at higher doses. METHODS: Observational study using data collected from the SEMI-COVID-19 Registry. We evaluated the epidemiological, radiological and analytical scenario between patients treated with megadoses therapy of corticosteroids vs low-dose of corticosteroids and the development of complications. The primary endpoint was all-cause in-hospital mortality according to use of corticosteroids megadoses. RESULTS: Of a total of 14,921 patients, corticosteroids were used in 5,262 (35.3%). Of them, 2,216 (46%) specifically received megadoses. Age was a factor that differed between those who received megadoses therapy versus those who did not in a significant manner (69 years [IQR 59-79] vs 73 years [IQR 61-83]; p < .001). Radiological and analytical findings showed a higher use of megadoses therapy among patients with an interstitial infiltrate and elevated inflammatory markers associated with COVID-19. In the univariate study it appears that steroid use is associated with increased mortality (OR 2.07 95% CI 1.91-2.24 p < .001) and megadose use with increased survival (OR 0.84 95% CI 0.75-0.96, p 0.011), but when adjusting for possible confounding factors, it is observed that the use of megadoses is also associated with higher mortality (OR 1.54, 95% CI 1.32-1.80; p < .001). There is no difference between megadoses and low-dose (p .298). Although, there are differences in the use of megadoses versus low-dose in terms of complications, mainly infectious, with fewer pneumonias and sepsis in the megadoses group (OR 0.82 95% CI 0.71-0.95; p < .001 and OR 0.80 95% CI 0.65-0.97; p < .001) respectively. CONCLUSION: There is no difference in mortality with megadoses versus low-dose, but there is a lower incidence of infectious complications with glucocorticoid megadoses.
Subject(s)
Adrenal Cortex Hormones/therapeutic use , COVID-19 Drug Treatment , COVID-19/epidemiology , Prednisone/therapeutic use , Registries , SARS-CoV-2/pathogenicity , Sepsis/drug therapy , Adult , Age Factors , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/virology , Drug Administration Schedule , Female , Hospital Mortality/trends , Humans , Male , Middle Aged , SARS-CoV-2/growth & development , Sepsis/epidemiology , Sepsis/mortality , Sepsis/virology , Spain/epidemiology , Survival Analysis , Treatment OutcomeABSTRACT
OBJECTIVES: The aim of this study was to analyze whether subgroups of immunosuppressive (IS) medications conferred different outcomes in COVID-19. METHODS: The study involved a multicenter retrospective cohort of consecutive immunosuppressed patients (ISPs) hospitalized with COVID-19 from March to July, 2020. The primary outcome was in-hospital mortality. A propensity score-matched (PSM) model comparing ISP and non-ISP was planned, as well as specific PSM models comparing individual IS medications associated with mortality. RESULTS: Out of 16 647 patients, 868 (5.2%) were on chronic IS therapy prior to admission and were considered ISPs. In the PSM model, ISPs had greater in-hospital mortality (OR 1.25, 95% CI 0.99-1.62), which was related to a worse outcome associated with chronic corticoids (OR 1.89, 95% CI 1.43-2.49). Other IS drugs had no repercussions with regard to mortality risk (including calcineurin inhibitors (CNI); OR 1.19, 95% CI 0.65-2.20). In the pre-planned specific PSM model involving patients on chronic IS treatment before admission, corticosteroids were associated with an increased risk of mortality (OR 2.34, 95% CI 1.43-3.82). CONCLUSIONS: Chronic IS therapies comprise a heterogeneous group of drugs with different risk profiles for severe COVID-19 and death. Chronic systemic corticosteroid therapy is associated with increased mortality. On the contrary, CNI and other IS treatments prior to admission do not seem to convey different outcomes.
Subject(s)
COVID-19 Drug Treatment , Calcineurin Inhibitors , Adrenal Cortex Hormones/adverse effects , Calcineurin Inhibitors/adverse effects , Hospital Mortality , Humans , Registries , Retrospective Studies , SARS-CoV-2ABSTRACT
BACKGROUND: The individual influence of a variety of comorbidities on COVID-19 patient outcomes has already been analyzed in previous works in an isolated way. We aim to determine if different associations of diseases influence the outcomes of inpatients with COVID-19. METHODS: Retrospective cohort multicenter study based on clinical practice. Data were taken from the SEMI-COVID-19 Registry, which includes most consecutive patients with confirmed COVID-19 hospitalized and discharged in Spain. Two machine learning algorithms were applied in order to classify comorbidities and patients (Random Forest -RF algorithm, and Gaussian mixed model by clustering -GMM-). The primary endpoint was a composite of either, all-cause death or intensive care unit admission during the period of hospitalization. The sample was randomly divided into training and test sets to determine the most important comorbidities related to the primary endpoint, grow several clusters with these comorbidities based on discriminant analysis and GMM, and compare these clusters. RESULTS: A total of 16,455 inpatients (57.4% women and 42.6% men) were analyzed. According to the RF algorithm, the most important comorbidities were heart failure/atrial fibrillation (HF/AF), vascular diseases, and neurodegenerative diseases. There were six clusters: three included patients who met the primary endpoint (clusters 4, 5, and 6) and three included patients who did not (clusters 1, 2, and 3). Patients with HF/AF, vascular diseases, and neurodegenerative diseases were distributed among clusters 3, 4 and 5. Patients in cluster 5 also had kidney, liver, and acid peptic diseases as well as a chronic obstructive pulmonary disease; it was the cluster with the worst prognosis. CONCLUSION: The interplay of several comorbidities may affect the outcome and complications of inpatients with COVID-19.
Subject(s)
COVID-19 , COVID-19/epidemiology , Comorbidity , Female , Hospitalization , Humans , Machine Learning , Male , Retrospective Studies , Risk Factors , SARS-CoV-2ABSTRACT
Acetylsalicylic acid (ASA) is widely used in the treatment and prevention of cardiovascular disorders. Our objective is to evaluate its possible protective role, not only in mortality but also in other aspects such as inflammation, symptomatic thrombosis, and intensive care unit (ICU) admission in hospitalized COVID-19 patients. We realized an observational retrospective cohort study of 20,641 patients with COVID-19 pneumonia collected and followed-up from Mar 1st, 2020 to May 1st, 2021, from the nationwide Spanish SEMI-COVID-19 Registry. Propensity score matching (PSM) was performed to determine whether treatment with ASA affected outcomes in COVID-19 patients. On hospital admission, 3291 (15.9%) patients were receiving ASA. After PSM, 3291 patients exposed to ASA and 2885 not-exposed patients were analyzed. In-hospital mortality was higher in the ASA group (30.4 vs. 16.9%, p < 0.001) in the global sample. After PSM, no differences were found between groups (30.4 vs. 30.3%, p = 0.938). There were no differences in inflammation, symptomatic thrombosis, or ICU admission. In conclusion, ASA intake is not associated with in-hospital mortality or any other health outcome evaluated after applying PSM analysis in a real-world large sample of hospitalized COVID-19 patients.
Subject(s)
COVID-19 Drug Treatment , Thrombosis , Aspirin/therapeutic use , Humans , Inflammation , Intensive Care Units , Registries , Retrospective Studies , SARS-CoV-2ABSTRACT
BACKGROUND: Venous thrombotic events (VTE) are frequent in COVID-19, and elevated plasma D-dimer (pDd) and dyspnea are common in both entities. OBJECTIVE: To determine the admission pDd cut-off value associated with in-hospital VTE in patients with COVID-19. METHODS: Multicenter, retrospective study analyzing the at-admission pDd cut-off value to predict VTE and anticoagulation intensity along hospitalization due to COVID-19. RESULTS: Among 9386 patients, 2.2% had VTE: 1.6% pulmonary embolism (PE), 0.4% deep vein thrombosis (DVT), and 0.2% both. Those with VTE had a higher prevalence of tachypnea (42.9% vs. 31.1%; p = 0.0005), basal O2 saturation <93% (45.4% vs. 33.1%; p = 0.0003), higher at admission pDd (median [IQR]: 1.4 [0.6-5.5] vs. 0.6 [0.4-1.2] µg/ml; p < 0.0001) and platelet count (median [IQR]: 208 [158-289] vs. 189 [148-245] platelets × 109/L; p = 0.0013). A pDd cut-off of 1.1 µg/ml showed specificity 72%, sensitivity 49%, positive predictive value (PPV) 4%, and negative predictive value (NPV) 99% for in-hospital VTE. A cut-off value of 4.7 µg/ml showed specificity of 95%, sensitivity of 27%, PPV of 9%, and NPV of 98%. Overall mortality was proportional to pDd value, with the lowest incidence for each pDd category depending on anticoagulation intensity: 26.3% for those with pDd >1.0 µg/ml treated with prophylactic dose (p < 0.0001), 28.8% for pDd for patients with pDd >2.0 µg/ml treated with intermediate dose (p = 0.0001), and 31.3% for those with pDd >3.0 µg/ml and full anticoagulation (p = 0.0183). CONCLUSIONS: In hospitalized patients with COVID-19, a pDd value greater than 3.0 µg/ml can be considered to screen VTE and to consider full-dose anticoagulation.
Subject(s)
COVID-19 , Venous Thromboembolism , Venous Thrombosis , Fibrin Fibrinogen Degradation Products , Hospitalization , Humans , Registries , Retrospective Studies , SARS-CoV-2 , Venous Thromboembolism/diagnosis , Venous Thromboembolism/epidemiology , Venous Thrombosis/diagnosis , Venous Thrombosis/epidemiologyABSTRACT
INTRODUCTION: The results of studies of tocilizumab (TCZ) in COVID-19 are contradictory. Our study aims to update medical evidence from controlled observational studies and randomized clinical trials (RCTs) on the use of TCZ in hospitalized patients with COVID-19. METHODS: We searched the following databases from January 1, 2020 to April 13, 2021 (date of the last search): MEDLINE database through the PubMed search engine and Scopus, using the terms ("COVID-19" [Supplementary Concept]) AND "tocilizumab" [Supplementary Concept]). RESULTS: Sixty four studies were included in the present study: 54 were controlled observational studies (50 retrospective and 4 prospective) and 10 were RCTs. The overall results provided data from 20,616 hospitalized patients with COVID-19: 7668 patients received TCZ in addition to standard of care (SOC) (including 1915 patients admitted to intensive care units (ICU) with reported mortality) and 12,948 patients only receiving SOC (including 4410 patients admitted to the ICU with reported mortality). After applying the random-effects model, the hospital-wide (including ICU) pooled mortality odds ratio (OR) of patients with COVID-19 treated with TCZ was 0.73 (95% confidence interval (CI) = 0.56-0.93). The pooled hospital-wide mortality OR was 1.25 (95% CI = 0.74-2.18) in patients admitted at conventional wards versus 0.66 (95% CI = 0.59-0.76) in patients admitted to the ICU. The pooled OR of hospital-wide mortality (including ICU) of COVID-19 patients treated with TCZ plus corticosteroids (CS) was 0.67 (95% CI = 0.54-0.84). The pooled in-hospital mortality OR was 0.71 (95% CI = 0.35-1.42) when TCZ was early administered (≤10 days from symptom onset) versus 0.83 (95% CI 0.48-1.45) for late administration (>10 days from symptom onset). The meta-analysis did not find significantly higher risk for secondary infections in COVID-19 patients treated with TCZ. CONCLUSIONS: TCZ prevented mortality in patients hospitalized for COVID-19. This benefit was seen to a greater extent in patients receiving concomitant CS and when TCZ administration occurred within the first 10 days after symptom onset.