Clinical characteristics and laboratory parameters associated with the risk of severe COVID-19 in patients from two hospitals in Northeast Brazil.

BACKGROUND: Although most coronavirus disease 2019 (COVID-19) infections are mild, some patients have severe clinical conditions requiring hospitalization. Data on the severity of COVID-19 in Brazil are scarce and are limited to public databases. This study aimed to investigate the clinical and laboratory factors associated with the severity of COVID-19 in a cohort of hospitalized adults from two hospitals in Northeast Brazil. METHODS: Patients over 18 years of age who were hospitalized between August 2020 and July 2021 with a confirmed diagnosis of COVID-19 were included. The patients were classified into two groups: moderate and severe. Clinical, laboratory and imaging parameters were collected and compared between the groups. A multivariate logistic regression model was used to determine the predictors of COVID-19 severity. RESULTS: This study included 495 patients (253 moderate and 242 severe). A total of 372 patients (75.2%) were between 18 and 65 years of age, and the majority were male (60.6%; n = 300). Patients with severe disease had higher levels of leukocytes, neutrophils, platelets, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, blood glucose, C-reactive protein, ferritin, D-dimer, aspartate aminotransferase, creatinine, and urea (p < 0.05). In multivariate logistic regression, the following variables were significant predictors of COVID-19 severity: leukocytes (odds ratio [OR] 3.27; 95% confidence interval [CI] 2.12-5.06), international normalized ratio (INR) (OR 0.22, 95% CI 0.14-0.33), and urea (OR 4.03; 95% CI 2.21-7.35). CONCLUSIONS: The present study identified the clinical and laboratory factors associated with the severity of COVID-19 in hospitalized Brazilian individuals.

In-Hospital Mortality from Cardiovascular Diseases in Brazil during the First Year of The COVID-19 Pandemic. / Excesso de Mortalidade Hospitalar por Doenças Cardiovasculares no Brasil Durante o Primeiro Ano da Pandemia de COVID-19.

BACKGROUND: The COVID-19 pandemic has had an impact on mortality from several diseases worldwide, especially cardiovascular diseases (CVD). Brazil is a continent-sized country with significant differences in the health care structure between its federative units. OBJECTIVE: Analyze in-hospital mortality from CVDs in the Brazilian public health system during the first year of the COVID-19 pandemic (2020). METHODS: This is an ecological study analyzing the absolute number of in-hospital deaths and the rate of in-hospital mortality in Brazil, its macro-regions, and federative units. Data were obtained from the Hospital Information System of the Brazilian Ministry of Health. To analyze excess mortality, the P-score was used. It compares the events observed with those expected for a given place and period. The P-score was corrected by the joinpoint regression model, with a 95% confidence interval and 5% significance level. RESULTS: There were 93,104 in-hospital deaths due to CVD in Brazil in 2020, representing 1,495 fewer deaths (P score: -1.58) than expected. The central-west region had a positive P-score, with a 15.1% increase in the number of deaths. Ten federative units showed a greater number of deaths in 2020. There was also a 13.3% excess in-hospital mortality at the country level, and an excess in-hospital mortality in all macro-regions. CONCLUSIONS: There was a decrease in the absolute number of in-hospital deaths, as well as an increase in in-hospital mortality from CVD in Brazil, in 2020, after the COVID-19 pandemic onset.

FUNDAMENTO: A pandemia da COVID-19 tem causado um impacto sobre a mortalidade por várias doenças em todo o mundo, especialmente por doenças cardiovasculares (DCVs). O Brasil é um país de dimensões continentais com diferenças significativas na estrutura de saúde entre seus estados. OBJETIVO: Analisar a mortalidade hospitalar por DCV no sistema público de saúde durante o primeiro ano da pandemia por COVID-19 (2020) no Brasil. MÉTODOS: Este é um estudo ecológico analisando o número absoluto de mortes hospitalares e a taxa de mortalidade hospitalar no Brasil, suas macrorregiões, e unidades federativas. Os dados foram obtidos do Sistema de Informações Hospitalares (SIH) do Ministério da Saúde. O P-escore foi usado para analisar o excesso de mortalidade. O escore compara os eventos observados com os eventos esperados para um dado local e período. O escore-P foi corrigido por um modelo de regressão joinpoint, com um intervalo de confiança de 95% e nível de significância de 5%. RESULTADOS: Houve 93.104 óbitos hospitalares por DCV no Brasil em 2020, o que representa 1495 menos óbitos (escore-P: -1,58) que o esperado. A região centro-oeste apresentou um escore-P positivo, com um aumento de 15,1% no número de mortes. Dez estados apresentaram um maior número de óbitos em 2020. Ainda, observou-se um excesso de 13,3% de mortalidade hospitalar no país como um todo, e um excesso de mortalidade hospitalar em todas as macrorregiões. CONCLUSÕES: Houve uma diminuição no número absoluto de óbitos hospitalares, bem como um aumento na taxa de mortalidade por DCV no Brasil em 2020, após o início da pandemia por COVID-19.

Impact Of The COVID-19 Pandemic on Hospital Admissions and In-Hospital Lethality From Cardiovascular Diseases in Brazil: An Ecological and Time Series Study.

Since the onset of the coronavirus disease 2019 (COVID-19) pandemic in Brazil, several government policies have been taken. Herein, we aimed to assess the impact of the COVID-19 pandemic on hospital admissions and in-hospital lethality for cardiovascular diseases (CVD) in Brazil in 2020. An ecological and time-series study on hospitalizations and deaths from CVD in Brazil was conducted from January 2018 to December 2020.The hospital admission rate for CVD reduced by 17.1%, with a significant decreasing trend between January and May 2020 (Annual Percent Change: -8,7%; P-value < 0.001). The in-hospital lethality rate increased from 8.2% in 2018 to 9.3% in 2020. During this period, Brazil totaled 21.8 million days of hospital stay. Indicators of hospital admissions and lethality from CVD in Brazil were impacted by the emergence of the COVID-19 pandemic in different ways in the regions and depending on the nature of the indicator.

COVID-19 in Brazil: spatial risk, social vulnerability, human development, clinical manifestations and predictors of mortality - a retrospective study with data from 59 695 individuals.

Brazil ranks second in the number of confirmed cases of COVID-19 worldwide. In spite of this, coping measures differ throughout the national territory, as does the disease's impact on the population. This cross-sectional observational study, with 59 695 cases of COVID-19 registered in the state of Alagoas between March and August 2020, analysed clinical-epidemiological variables, incidence rate, mortality rate, case fatality rate (CFR) and the social indicators municipal human development index (MHDI) and social vulnerability index (SVI). Moran statistics and regression models were applied. Logistic regression analysis was applied to determine the predictors of death. The incidence rate was 1788.7/100 000 inhabitants; mortality rate was 48.0/100 000 and CFR was 2.7%. The highest incidence rates were observed in municipalities with better human development (overall MHDI (I = 0.1668; p = 0.002), education MHDI (I = 0.1649; p = 0.002) and income MHDI (I = 0.1880; p = 0.005)) and higher social vulnerability (overall SVI (I = 0.0599; p = 0.033)). CFR was associated with higher social vulnerability (SVI human capital (I = 0.0858; p = 0.004) and SVI urban infrastructure (I = 0.0985; p = 0.040)). Of the analysed cases, 55.4% were female; 2/3 were Black or Brown and the median age was 41 years. Among deaths, most were male (919; 57.4%) and elderly (1171; 73.1%). The predictors of death were male sex, advanced age and the presence of comorbidities. In Alagoas, Brazil, the disease has undergone a process of interiorisation and caused more deaths in poorer municipalities. The presence of comorbidities and advanced age were predictors of death.