Clinical features and mortality of COVID-19 patients admitted to ICU according to SOFA score.

The Sequential Organ Failure Assessment (SOFA) could function as an effective risk stratification tool in the admission of critically ill patients with COVID-19 and would allow stratification based on a risk assessment. We aimed to examine whether the SOFA score is useful to define 2 severity profiles in COVID-19 patients admitted to ICU: mild with SOFA < 5, and severe with SOFA ≥ 5. A retrospective cohort, multicenter study was conducted from February 11 to May 11, 2020. We analyzed patients admitted to all ICUs of the 14 public hospitals of the Castilla-La Mancha Health Service at the beginning of the pandemic and with SARS-CoV-2 infection. Patients were divided in 2 groups according to the level of severity by SOFA at admission to the ICU. Cox regression was used to evaluate factors associated with survival and Kaplan-Meier test to examine survival probability. In total, 405 patients with a complete SOFA panel were recruited in the 14 participating ICUs. SOFA <5 group showed that age above 60 years and D-dimer above 1000 ng/mL were risk factors associated with lower survival. In SOFA ≥ 5 it was found that high blood pressure was a risk factor associated with shorter survival. Kaplan-Meier showed lower survival in SOFA ≥ 5 in combination with high blood pressure, time since viral symptom onset to admission in ICU < 7 days, D-dimer ≥1000 ng/mL and respiratory pathology. However, SOFA < 5 showed only higher age (≥60 years) associated with lower survival. Age over 60 years and D-dimer over 1000 ng/mL were risk factors reflecting lower survival in patients with SOFA < 5. Moreover, SOFA ≥ 5 patients within a week after COVID-19 onset and comorbidities such as high blood pressure and previous respiratory pathology showed lower survival.

Aprotinin treatment against SARS-CoV-2: A randomized phase III study to evaluate the safety and efficacy of a pan-protease inhibitor for moderate COVID-19.

BACKGROUND: SARS-CoV-2 virus requires host proteases to cleave its spike protein to bind to its ACE2 target through a two-step furin-mediated entry mechanism. Aprotinin is a broad-spectrum protease inhibitor that has been employed as antiviral drug for other human respiratory viruses. Also, it has important anti-inflammatory properties for inhibiting the innate immunity contact system. METHODS: This was a multicentre, double-blind, randomized trial performed in four Spanish hospitals comparing standard treatment versus standard treatment + aprotinin for patients with COVID-19 between 20 May 2020 and 20 October 2021. The primary efficacy outcomes were length of hospital stay and ICU admission. The secondary endpoints were each of the primary efficacy outcomes and a composite of oxygen therapy, analytical parameters and death. Safety outcomes included adverse reactions to treatment during a 30-day follow-up period. Treatment was given for 11 days or till discharge. RESULTS: With almost identical analytical profiles, significant differences were observed in treatment time, which was 2 days lower in the aprotinin group (p = .002), and length of hospital admission, which was 5 days shorter in the aprotinin group (p = .003). The incidence of discharge was 2.19 times higher (HR: 2.188 [1.182-4.047]) in the aprotinin group than in the placebo group (p = .013). In addition, the aprotinin-treated group required less oxygen therapy and had no adverse reactions or side effects. CONCLUSION: Inhaled aprotinin may improve standard treatment and clinical outcomes in hospitalized patients with COVID-19, resulting in a shorter treatment time and hospitalization compared with the placebo group. The administration of aprotinin was safe.

Characteristics and Risk Factors Associated With Mortality in a Multicenter Spanish Cohort of Patients With COVID-19 Pneumonia.

INTRODUCTION: Spain is one of the countries with the highest number of COVID-19 patients. Unfortunately, few data for regions are available. OBJECTIVES: This study aimed to describe the characteristics and independent risk factors associated with COVID-19 mortality in Castilla-La Mancha, Spain. METHODS: Cohort and multicenter study in all 14 public hospitals of the Castilla-La Mancha Health Service. Baseline characteristics, preexisting comorbidities, symptoms, clinical features and treatments were included. Multivariable logistic regression was used to evaluate factors associated with death and Kaplan-Meier test to examine survival probability. Statistical significance was considered with p < 0.05 (95% CI). SPSS (version 24.0 for Windows) and R 4.0.2 (R Statistics) software were used. RESULTS: The cohort comprised 12,126 patients sequentially attended between February 11 and May 11, 2020. The mean age of patients was 66.4 years; 5667 (46.7%) were women. Six protective factors against exitus were defined: female sex, anosmia, cough, chloroquine and azithromycin. The risk factors were: age over 50, obesity, cardiac pathology, fever, dyspnea, lung infiltrates, lymphopenia, D-dimer above 1000 ng/mL, and mechanical ventilation requirement. Survival analysis showed higher survival rate in women (75.7%) than men (72.1%). Cumulative survival was 87.5% for non-hospitalized patients, 70.2% for patients admitted to hospital and 61.2% in ICU patients. Additionally, survival probability decreased with increasing age range. CONCLUSION: Determination of protective or death-promoting factors could be useful to stratify patients by severity criteria and to improve COVID-19 care management.

INTRODUCCIÓN: España es uno de los países con mayor número de pacientes con COVID-19. Desafortunadamente, se dispone de pocos datos por regiones. OBJETIVOS: Describir las características y los factores de riesgo independientes asociados a mortalidad por COVID-19 en Castilla-La Mancha, España. MÉTODOS: Estudio de cohorte, multicéntrico de los 14 hospitales públicos de Castilla-La Mancha. Se evaluaron las características clínicas, comorbilidades preexistentes, síntomas y tratamientos. Se utilizó una regresión logística multivariable para evaluar los factores asociados a muerte y Kaplan-Meier para medir supervivencia. Se consideró significación estadística con p < 0,05 (IC 95%). Se utilizaron los programas SPSS (versión 24.0 para Windows) y R 4.0.2 (R Statistics). RESULTADOS: Se estudiaron 12.126 pacientes atendidos secuencialmente entre el 11 de febrero y el 11 de mayo de 2020. La edad media fue de 66,4 años; 5.667 (46,7%) fueron mujeres. Se definieron seis factores protectores contra el exitus: sexo femenino, anosmia, tos, cloroquina y azitromicina. Los factores de riesgo fueron: edad superior a 50, obesidad, patología cardíaca, fiebre, disnea, infiltrados pulmonares, linfopenia, dímero-D > 1.000 ng/mL y necesidad de ventilación mecánica. Se observó mayor tasa de supervivencia en mujeres (75,7%) que en hombres (72,1%). La supervivencia acumulada fue del 87,5% para pacientes no hospitalizados, 70,2% para admitidos en planta hospitalaria y 61,2% en la Unidad de Cuidados Intensivos (UCI). Además, la probabilidad de supervivencia disminuyó con el aumento del rango de edad. CONCLUSIÓN: La determinación de los factores protectores o favorecedores de muerte podría ser útil para estratificar pacientes por criterios de gravedad y mejorar la atención frente a la COVID-19.