Temporal validation of the MMCD score to predict kidney replacement therapy and in-hospital mortality in COVID-19 patients.

BACKGROUND: Acute kidney injury has been described as a common complication in patients hospitalized with COVID-19, which may lead to the need for kidney replacement therapy (KRT) in its most severe forms. Our group developed and validated the MMCD score in Brazilian COVID-19 patients to predict KRT, which showed excellent performance using data from 2020. This study aimed to validate the MMCD score in a large cohort of patients hospitalized with COVID-19 in a different pandemic phase and assess its performance to predict in-hospital mortality. METHODS: This study is part of the "Brazilian COVID-19 Registry", a retrospective observational cohort of consecutive patients hospitalized for laboratory-confirmed COVID-19 in 25 Brazilian hospitals between March 2021 and August 2022. The primary outcome was KRT during hospitalization and the secondary was in-hospital mortality. We also searched literature for other prediction models for KRT, to assess the results in our database. Performance was assessed using area under the receiving operator characteristic curve (AUROC) and the Brier score. RESULTS: A total of 9422 patients were included, 53.8% were men, with a median age of 59 (IQR 48-70) years old. The incidence of KRT was 8.8% and in-hospital mortality was 18.1%. The MMCD score had excellent discrimination and overall performance to predict KRT (AUROC: 0.916 [95% CI 0.909-0.924]; Brier score = 0.057). Despite the excellent discrimination and overall performance (AUROC: 0.922 [95% CI 0.914-0.929]; Brier score = 0.100), the calibration was not satisfactory concerning in-hospital mortality. A random forest model was applied in the database, with inferior performance to predict KRT requirement (AUROC: 0.71 [95% CI 0.69-0.73]). CONCLUSION: The MMCD score is not appropriate for in-hospital mortality but demonstrates an excellent predictive ability to predict KRT in COVID-19 patients. The instrument is low cost, objective, fast and accurate, and can contribute to supporting clinical decisions in the efficient allocation of assistance resources in patients with COVID-19.

Real-Life Data on Hydroxychloroquine or Chloroquine with or Without Azithromycin in COVID-19 Patients: A Retrospective Analysis in Brazil. / Dados de Vida Real sobre o Uso da Hidroxicloroquina ou da Cloroquina Combinadas ou Não à Azitromicina em Pacientes com Covid-19: Uma Análise Retrospectiva no Brasil.

BACKGROUND: Despite no evidence showing benefits of hydroxychloroquine and chloroquine with or without azithromycin for COVID-19 treatment, these medications have been largely prescribed in Brazil. OBJECTIVES: To assess outcomes, including in-hospital mortality, electrocardiographic abnormalities, hospital length-of-stay, admission to the intensive care unit, and need for dialysis and mechanical ventilation, in hospitalized COVID-19 patients who received chloroquine or hydroxychloroquine, and to compare outcomes between those patients and their matched controls. METHODS: A retrospective multicenter cohort study that included consecutive laboratory-confirmed COVID-19 patients from 37 Brazilian hospitals from March to September 2020. Propensity score was used to select matching controls by age, sex, cardiovascular comorbidities, and in-hospital use of corticosteroid. A p-value <0.05 was considered statistically significant. RESULTS: From 7,850 COVID-19 patients, 673 (8.6%) received hydroxychloroquine and 67 (0.9%) chloroquine. The median age in the study group was 60 years (46 - 71) and 59.1% were women. During hospitalization, 3.2% of patients presented side effects and 2.2% required therapy discontinuation. Electrocardiographic abnormalities were more prevalent in the chloroquine/hydroxychloroquine group (13.2% vs. 8.2%, p=0.01), and the long corrected QT interval was the main difference (3.6% vs. 0.4%, p<0.001). The median hospital length of stay was longer in the HCQ/CQ + AZT group than in controls (9.0 [5.0, 18.0] vs. 8.0 [4.0, 14.0] days). There was no statistical differences between groups in intensive care unit admission (35.1% vs. 32.0%; p=0.282), invasive mechanical ventilation support (27.0% vs. 22.3%; p=0.074) or mortality (18.9% vs. 18.0%; p=0.682). CONCLUSION: COVID-19 patients treated with chloroquine or hydroxychloroquine had a longer hospital length of stay, when compared to matched controls. Intensive care unit admission, invasive mechanical ventilation, dialysis and in-hospital mortality were similar.

FUNDAMENTO: Apesar da ausência de evidência mostrando benefícios da hidroxicloroquina e da cloroquina combinadas ou não à azitromicina no tratamento da covid-19, esses medicamentos têm sido amplamente prescritos no Brasil. OBJETIVOS: Avaliar desfechos, incluindo moralidade hospitalar, alterações eletrocardiográficas, tempo de internação, admissão na unidade de terapia intensiva, e necessidade de diálise e de ventilação mecânica em pacientes hospitalizados com covid-19 que receberam cloroquina ou hidroxicloroquina, e comparar os desfechos entre aqueles pacientes e seus controles pareados. MÉTODOS: Estudo multicêntrico retrospectivo do tipo coorte que incluiu pacientes com diagnóstico laboratorial de covid-19 de 37 hospitais no Brasil de março a setembro de 2020. Escore de propensão foi usado para selecionar controles pareados quanto a idade, sexo, comorbidades cardiovasculares, e uso de corticosteroides durante a internação. Um valor de p<0,05 foi considerado estatisticamente significativo. RESULTADOS: Dos 7850 pacientes com covid-19, 673 (8,6%) receberam hidroxicloroquina e 67 (0,9%) cloroquina. A idade mediana no grupo de estudo foi 60 (46-71) anos e 59,1% eram mulheres. Durante a internação, 3,2% dos pacientes apresentaram efeitos adversos e 2,2% necessitaram de interromper o tratamento. Alterações eletrocardiográficas foram mais prevalentes no grupo hidroxicloroquina/cloroquina (13,2% vs. 8,2%, p=0,01), e o prolongamento do intervalo QT corrigido foi a principal diferença (3,6% vs. 0,4%, p<0,001). O tempo mediano de internação hospitalar foi maior no grupo usando CQ/HCQ em relação aos controles (9,0 [5,0-18,0] vs. 8,0 [4,0-14,0] dias). Não houve diferenças estatisticamente significativas entre os grupos quanto a admissão na unidade de terapia intensiva (35,1% vs. 32,0%; p=0,282), ventilação mecânica invasiva (27,0% vs. 22,3%; p=0,074) ou mortalidade (18,9% vs. 18,0%; p=0,682). CONCLUSÃO: Pacientes com covid-19 tratados com cloroquina ou hidroxicloroquina apresentaram maior tempo de internação hospitalar, em comparação aos controles. Não houve diferença em relação a admissão em unidade de terapia intensiva, necessidade de ventilação mecânica e mortalidade hospitalar.

Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.

The majority of early prediction scores and methods to predict COVID-19 mortality are bound by methodological flaws and technological limitations (e.g., the use of a single prediction model). Our aim is to provide a thorough comparative study that tackles those methodological issues, considering multiple techniques to build mortality prediction models, including modern machine learning (neural) algorithms and traditional statistical techniques, as well as meta-learning (ensemble) approaches. This study used a dataset from a multicenter cohort of 10,897 adult Brazilian COVID-19 patients, admitted from March/2020 to November/2021, including patients [median age 60 (interquartile range 48-71), 46% women]. We also proposed new original population-based meta-features that have not been devised in the literature. Stacking has shown to achieve the best results reported in the literature for the death prediction task, improving over previous state-of-the-art by more than 46% in Recall for predicting death, with AUROC 0.826 and MacroF1 of 65.4%. The newly proposed meta-features were highly discriminative of death, but fell short in producing large improvements in final prediction performance, demonstrating that we are possibly on the limits of the prediction capabilities that can be achieved with the current set of ML techniques and (meta-)features. Finally, we investigated how the trained models perform on different hospitals, showing that there are indeed large differences in classifier performance between different hospitals, further making the case that errors are produced by factors that cannot be modeled with the current predictors.

Clinical characteristics and outcomes of hospital-manifested COVID-19 among Brazilians.

OBJECTIVES: To analyze the clinical characteristics and outcomes of admitted patients with the hospital- versus community-manifested COVID-19 and to evaluate the risk factors related to mortality in the first population. METHODS: This retrospective cohort included consecutive adult patients with COVID-19, hospitalized between March and September 2020. The demographic data, clinical characteristics, and outcomes were extracted from medical records. Patients with hospital-manifested COVID-19 (study group) and those with community-manifested COVID-19 (control group) were matched by the propensity score model. Logistic regression models were used to verify the risk factors for mortality in the study group. RESULTS: Among 7,710 hospitalized patients who had COVID-19, 7.2% developed symptoms while admitted for other reasons. Patients with hospital-manifested COVID-19 had a higher prevalence of cancer (19.2% vs 10.8%) and alcoholism (8.8% vs 2.8%) than patients with community-manifested COVID-19 and also had a higher rate of intensive care unit requirement (45.1% vs 35.2%), sepsis (23.8% vs 14.5%), and death (35.8% vs 22.5%) (P <0.05 for all). The factors independently associated with increased mortality in the study group were increasing age, male sex, number of comorbidities, and cancer. CONCLUSION: Hospital-manifested COVID-19 was associated with increased mortality. Increasing age, male sex, number of comorbidities, and cancer were independent predictors of mortality among those with hospital-manifested COVID-19 disease.

Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry.

Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. This cohort study of a large Brazilian COVID-19 Registry included 4120 COVID-19 adult patients from 16 hospitals. Symptomatic VTE was confirmed by objective imaging. LR analysis, tree-based boosting, and bagging were used to investigate the association of variables upon hospital presentation with VTE. Among 4,120 patients (55.5% men, 39.3% critical patients), VTE was confirmed in 6.7%. In multivariate LR analysis, obesity (OR 1.50, 95% CI 1.11-2.02); being an ex-smoker (OR 1.44, 95% CI 1.03-2.01); surgery ≤ 90 days (OR 2.20, 95% CI 1.14-4.23); axillary temperature (OR 1.41, 95% CI 1.22-1.63); D-dimer ≥ 4 times above the upper limit of reference value (OR 2.16, 95% CI 1.26-3.67), lactate (OR 1.10, 95% CI 1.02-1.19), C-reactive protein levels (CRP, OR 1.09, 95% CI 1.01-1.18); and neutrophil count (OR 1.04, 95% CI 1.005-1.075) were independent predictors of VTE. Atrial fibrillation, peripheral oxygen saturation/inspired oxygen fraction (SF) ratio and prophylactic use of anticoagulants were protective. Temperature at admission, SF ratio, neutrophil count, D-dimer, CRP and lactate levels were also identified as predictors by ML methods. By using ML and LR analyses, we showed that D-dimer, axillary temperature, neutrophil count, CRP and lactate levels are risk factors for VTE in COVID-19 patients.

Frequency and burden of neurological manifestations upon hospital presentation in COVID-19 patients: Findings from a large Brazilian cohort.

BACKGROUND: Scientific data regarding the prevalence of COVID-19 neurological manifestations and prognosis in Latin America countries is still lacking. Therefore, the study aims to understand neurological manifestations of SARS-CoV 2 infection and outcomes in the Brazilian population. METHODS: This study is part of the Brazilian COVID-19 Registry, a multicentric cohort, including data from 37 hospitals. For the present analysis, patients were grouped according to the presence of reported symptoms (i.e., headache; anosmia and ageusia; syncope and dizziness) vs. clinically-diagnosed neurological manifestations (clinically-defined neurological syndrome: neurological signs or diagnoses captured by clinical evaluation) and matched with patients without neurological manifestations by age, sex, number of comorbidities, hospital of admission, and whether or not patients had underlying neurological disease. RESULTS: From 6,635 hospitalized patients with COVID-19, 30.8% presented reported neurological manifestations, 10.3% were diagnosed with a neurological syndrome and 60.1% did not show any neurological manifestations. In patients with reported symptoms, the most common ones were headache (20.7%), ageusia (11.1%) and anosmia (8.0%). In patients with neurological syndromes, acute encephalopathy was the most common diagnosis (9.7%). In the matched analysis, patients with neurological syndromes presented more cases of septic shock (17.0 vs. 13.0%, p = 0.045), intensive care unit admission (45.3 vs. 38.9%, p = 0.023), and mortality (38.7 vs. 32.6%, p = 0.026; and 39.2 vs. 30.3%, p < 0.001) when compared to controls. CONCLUSION: COVID-19 in-hospital patients with clinically defined neurological syndromes presented a higher incidence of septic shock, ICU admission and death when compared to controls.

Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry.

The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive care units (ICU) characteristics associated with in-hospital mortality in COVID-19 patients admitted to Brazilian institutions. This multicenter retrospective cohort study is part of the Brazilian COVID-19 Registry. We enrolled patients ≥ 18 years old with laboratory-confirmed COVID-19 admitted to the participating hospitals from March to September 2020. Patients' data were obtained through hospital records. Hospitals' data were collected through forms filled in loco and through open national databases. Generalized linear mixed models with logit link function were used for pooling mortality and to assess the association between hospital characteristics and mortality estimates. We built two models, one tested general hospital characteristics while the other tested ICU characteristics. All analyses were adjusted for the proportion of high-risk patients at admission. Thirty-one hospitals were included. The mean number of beds was 320.4 ± 186.6. These hospitals had eligible 6556 COVID-19 admissions during the study period. Estimated in-hospital mortality ranged from 9.0 to 48.0%. The first model included all 31 hospitals and showed that a private source of funding (ß = - 0.37; 95% CI - 0.71 to - 0.04; p = 0.029) and location in areas with a high gross domestic product (GDP) per capita (ß = - 0.40; 95% CI - 0.72 to - 0.08; p = 0.014) were independently associated with a lower mortality. The second model included 23 hospitals and showed that hospitals with an ICU work shift composed of more than 50% of intensivists (ß = - 0.59; 95% CI - 0.98 to - 0.20; p = 0.003) had lower mortality while hospitals with a higher proportion of less experienced medical professionals had higher mortality (ß = 0.40; 95% CI 0.11-0.68; p = 0.006). The impact of those association increased according to the proportion of high-risk patients at admission. In-hospital mortality varied significantly among Brazilian hospitals. Private-funded hospitals and those located in municipalities with a high GDP had a lower mortality. When analyzing ICU-specific characteristics, hospitals with more experienced ICU teams had a reduced mortality.

The Economic Impact of COVID-19 Treatment at a Hospital-level: Investment and Financial Registers of Brazilian Hospitals.

Background: The economic impact associated with the treatment strategies of coronavirus disease-2019 (COVID-19) patients by hospitals and health-care systems in Brazil is unknown and difficult to estimate. This research describes the investments made to absorb the demand for treatment and the changes in occupation rates and billing in Brazilian hospitals. Methods: This research covers the initial findings of "COVID-19 hospital costs and the proposition of a bundled reimbursement strategy for the health-care system," which includes 10 hospitals. The chief financial officer, the chief medical officer, and hospital executives of each participating hospital provided information regarding investments attributed to COVID-19 patient treatment. The analysis included variations in occupation rates and billing from 2019 to 2020 observed in each institution, and the investments for medical equipment, individual protection materials and building construction per patient treated. Results: The majority of hospitals registered a decrease in hospitalization rates and revenue from 2019 to 2020. For intensive care units (ICUs), the mean occupancy rate ranged from 88% to 83%, and for wards, it ranged from 85% to 73%. Monthly average revenue decreased by 10%. The mean hospital investment per COVID-19 inpatient was I$6800 (standard deviation 7664), with the purchase of ventilators as the most common investment. For this item, the mean, highest and lowest acquisition cost per ventilator were, respectively, I$31 468, I$48 881 and I$17 777. Conclusion: There was significant variability in acquisition costs and investments by institution for responding to the COVID-19 pandemic. These findings highlight the importance of continuing microeconomic studies for a comprehensive assessment of hospital costs. Only with more detailed analyses, will it be possible to define and drive sustainable strategies to manage and reimburse COVID-19 treatment in health-care systems.

Dados de Vida Real sobre o Uso da Hidroxicloroquina ou da Cloroquina Combinadas ou Não à Azitromicina em Pacientes com Covid-19: Uma Análise Retrospectiva no Brasil / Real-Life Data on Hydroxychloroquine or Chloroquine with or Without Azithromycin in COVID-19 Patients: A Retrospective Analysis in Brazil

Resumo Fundamento Apesar da ausência de evidência mostrando benefícios da hidroxicloroquina e da cloroquina combinadas ou não à azitromicina no tratamento da covid-19, esses medicamentos têm sido amplamente prescritos no Brasil. Objetivos Avaliar desfechos, incluindo moralidade hospitalar, alterações eletrocardiográficas, tempo de internação, admissão na unidade de terapia intensiva, e necessidade de diálise e de ventilação mecânica em pacientes hospitalizados com covid-19 que receberam cloroquina ou hidroxicloroquina, e comparar os desfechos entre aqueles pacientes e seus controles pareados. Métodos Estudo multicêntrico retrospectivo do tipo coorte que incluiu pacientes com diagnóstico laboratorial de covid-19 de 37 hospitais no Brasil de março a setembro de 2020. Escore de propensão foi usado para selecionar controles pareados quanto a idade, sexo, comorbidades cardiovasculares, e uso de corticosteroides durante a internação. Um valor de p<0,05 foi considerado estatisticamente significativo. Resultados Dos 7850 pacientes com covid-19, 673 (8,6%) receberam hidroxicloroquina e 67 (0,9%) cloroquina. A idade mediana no grupo de estudo foi 60 (46-71) anos e 59,1% eram mulheres. Durante a internação, 3,2% dos pacientes apresentaram efeitos adversos e 2,2% necessitaram de interromper o tratamento. Alterações eletrocardiográficas foram mais prevalentes no grupo hidroxicloroquina/cloroquina (13,2% vs. 8,2%, p=0,01), e o prolongamento do intervalo QT corrigido foi a principal diferença (3,6% vs. 0,4%, p<0,001). O tempo mediano de internação hospitalar foi maior no grupo usando CQ/HCQ em relação aos controles (9,0 [5,0-18,0] vs. 8,0 [4,0-14,0] dias). Não houve diferenças estatisticamente significativas entre os grupos quanto a admissão na unidade de terapia intensiva (35,1% vs. 32,0%; p=0,282), ventilação mecânica invasiva (27,0% vs. 22,3%; p=0,074) ou mortalidade (18,9% vs. 18,0%; p=0,682). Conclusão Pacientes com covid-19 tratados com cloroquina ou hidroxicloroquina apresentaram maior tempo de internação hospitalar, em comparação aos controles. Não houve diferença em relação a admissão em unidade de terapia intensiva, necessidade de ventilação mecânica e mortalidade hospitalar.

Abstract Background Despite no evidence showing benefits of hydroxychloroquine and chloroquine with or without azithromycin for COVID-19 treatment, these medications have been largely prescribed in Brazil. Objectives To assess outcomes, including in-hospital mortality, electrocardiographic abnormalities, hospital length-of-stay, admission to the intensive care unit, and need for dialysis and mechanical ventilation, in hospitalized COVID-19 patients who received chloroquine or hydroxychloroquine, and to compare outcomes between those patients and their matched controls. Methods A retrospective multicenter cohort study that included consecutive laboratory-confirmed COVID-19 patients from 37 Brazilian hospitals from March to September 2020. Propensity score was used to select matching controls by age, sex, cardiovascular comorbidities, and in-hospital use of corticosteroid. A p-value <0.05 was considered statistically significant. Results From 7,850 COVID-19 patients, 673 (8.6%) received hydroxychloroquine and 67 (0.9%) chloroquine. The median age in the study group was 60 years (46 - 71) and 59.1% were women. During hospitalization, 3.2% of patients presented side effects and 2.2% required therapy discontinuation. Electrocardiographic abnormalities were more prevalent in the chloroquine/hydroxychloroquine group (13.2% vs. 8.2%, p=0.01), and the long corrected QT interval was the main difference (3.6% vs. 0.4%, p<0.001). The median hospital length of stay was longer in the HCQ/CQ + AZT group than in controls (9.0 [5.0, 18.0] vs. 8.0 [4.0, 14.0] days). There was no statistical differences between groups in intensive care unit admission (35.1% vs. 32.0%; p=0.282), invasive mechanical ventilation support (27.0% vs. 22.3%; p=0.074) or mortality (18.9% vs. 18.0%; p=0.682). Conclusion COVID-19 patients treated with chloroquine or hydroxychloroquine had a longer hospital length of stay, when compared to matched controls. Intensive care unit admission, invasive mechanical ventilation, dialysis and in-hospital mortality were similar.

Tendência temporal das internações por condições sensíveis à atenção primária em idosos no Brasil / Temporal trend of hospitalization for ambulatory care sensitive conditions in the elderly in Brazil / Tendencia temporal de las hospitalizaciones por condiciones sensibles de la atención primaria en mayores de Brasil

Objetivo: Avaliar a tendência temporal das Internações por Condições Sensíveis à Atenção Primária (ICSAP), em idosos, segundo sua estrutura, magnitude e causas, no Brasil, entre 2000 e 2018. Métodos: Estudo ecológico realizado com base em dados do Sistema de Informação Hospitalar do Sistema Único de Saúde (SUS) e Sistema de Informação da Atenção Básica (SIAB), entre 2000 e 2018, referentes a indivíduos com 60 anos ou mais, sendo incluídas 20.695.407 internações. Calcularam-se os coeficientes brutos e específicos de hospitalizações segundo sexo, faixa etária e região e estimaram-se a cobertura da Estratégia de Saúde da Família e o número de consultas médicas na atenção primária. Para análise da série temporal utilizou-se o método de regressão linear simples, sendo testada a correlação pelo Coeficiente de Correlação de Pearson (p<0,05). Resultados: Observou-se tendência de redução nas taxas de ICSAP em idosos no Brasil, de 2000 a 2018, para ambos os sexos, todas as faixas etárias e regiões (p<0,001). As principais causas de ICSAP concentraram-se nas doenças do aparelho circulatório (14,42%); respiratório (11,52%); e endócrinas, metabólicas e nutricionais (4,42%). Ocorreu diminuição de 61,50% de internações por insuficiência cardíaca e um aumento de 27,29% nas internações por pneumonia. Constatou-se tendência de aumento da cobertura da Estratégia de Saúde da Família (ESF) e do número médio de consultas (p<0,001), em idosos, no Brasil, de 2000 a 2015. Houve correlação negativa entre internações e indicadores de acesso à atenção primária (p<0,001). Conclusão: Há tendência de redução nas taxas gerais de ICSAP em idosos no Brasil, em função de melhorias na cobertura da atenção primária.

Objective: To evaluate the temporal trend of hospitalizations for Ambulatory Care Sensitive Conditions (ACSC) in the elderly, according to their structure, magnitude, and causes, in Brazil, between 2000 and 2018. Methods: An ecological study based on data from the Hospital Information System of the Unified Health System (Sistema Único de Saúde - SUS) and the Primary Care Information System (Sistema de Informações sobr à Atenção Básica - SIAB), between 2000 and 2018, referring to individualsaged 60 years or older, including 20,695,407 hospitalizations. Gross and specific coefficients of hospitalizations were calculated according to sex, age group, and region, and the coverage of the Family Health Strategy (Estratégia Saúde da Família ­ ESF), and the number of medical consultations in primary care were estimated. For the time series analysis, the simple linear regression method was used, and the correlation was tested by Pearson's Correlation Coefficient (p<0.05). Results: There was a trend of reduction in the rates of hospitalizations for ACSC in the elderly in Brazil, from 2000 to 2018, for both sexes, all age groups, and regions (p<0.001). The main causes of ACSC were concentrated in diseases of the circulatory system (14.42%), respiratory (11.52%), and endocrine, metabolic and nutritional (4.42%). There was a 61.50% decrease in hospitalizations for heart failure and a 27.29% increase in hospitalizations for pneumonia. There was a tendency to increase the coverage of the ESF and the average number of consultations (p<0.001) in the elderly in Brazil from 2000 to 2015. There was a negative correlation between hospitalizations and indicators of access to primary care (p<0.001). Conclusion: There is a trend of a reduction in the general rates of hospitalizations for ACSC in the elderly in Brazil due to improvements in primary care coverage.

Objetivo: Evaluar la tendencia temporal de las Hospitalizaciones por Condiciones Sensible de la Atención Primaria (HCSAP), de mayores, según la estructura, la magnitud y sus causas, en Brasil, entre 2000 y 2018. Métodos: Estudio ecológico realizado en la base de datos del Sistema de Información Hospitalaria del Sistema Único de Salud (SUS) y del Sistema de Información de la Atención Básica (SIAB), entre 2000 y 2018, referentes a los individuos de 60 años o más, con la inclusión de 20.695.407 hospitalizaciones. Se ha calculado los coeficientes brutos y específicos de las hospitalizaciones según el sexo, la franja de edad y la región y se ha estimado la cobertura de la Estrategia Salud de la Familia y el número de citas médicas de la atención primaria. Para el análisis de la serie temporal se ha utilizado el método de regresión linear simple y se ha testada la correlación por el Coeficiente de Correlación de Pearson (p<0,05). Resultados: Se observó la tendencia para la reducción de las tasas de HCSAP de mayores en Brasil entre 2000 y 2018, para ambos sexos, todas las franjas de edad y regiones (p<0,001). Las principales causas de HCSAP se han concentrado en las enfermedades del aparato circulatorio (14,42%); del respiratorio (11,52%); y las endocrinas, las metabólicas y las nutricionales (4,42%). Hubo una disminución del 61,50% de ingresos por insuficiencia cardiaca y el aumento del 27,29% de los ingresos por neumonía. Se ha constatado la tendencia de aumento de la cobertura de la Estrategia Salud de la Familia (ESF) y del número medio de citas (p<0,001) de mayores en Brasil entre 2000 y 2015. Hubo correlación negativa entre los ingresos y los indicadores de acceso a la atención primaria (p<0,001). Conclusión: Hay una tendencia para la reducción de las tasas generales de HCSAP de mayores en Brasil debido las mejorías de la cobertura de la atención primaria.