To describe the clinical characteristics, laboratory results, imaging findings, and in-hospital outcomes of COVID-19 patients admitted to Brazilian hospitals. Methods: A cohort study of laboratory-confirmed COVID-19 patients who were hospitalized from March 2020 to September 2020 in 25 hospitals. Data were collected from medical records using Research Electronic Data Capture (REDCap) tools. A multivariate Poisson regression model was used to assess the risk factors for in-hospital mortality. Results: For a total of 2,054 patients (52.6% male; median age of 58 years), the in-hospital mortality was 22.0%; this rose to 47.6% for those treated in the intensive care unit (ICU). Hypertension (52.9%), diabetes (29.2%), and obesity (17.2%) were the most prevalent comorbidities. Overall, 32.5% required invasive mechanical ventilation, and 12.1% required kidney replacement therapy. Septic shock was observed in 15.0%, nosocomial infection in 13.1%, thromboembolism in 4.1%, and acute heart failure in 3.6%. Age >= 65 years, chronic kidney disease, hypertension, C-reactive protein ! 100 mg/dL, platelet count < 100 Â 10 9 /L, oxygen saturation < 90%, the need for supplemental oxygen, and invasive mechanical ventilation at admission were independently associated with a higher risk of in-hospital mortality. The overall use of antimicrobials was 87.9%. Conclusions: This study reveals the characteristics and in-hospital outcomes of hospitalized patients with confirmed COVID-19 in Brazil. Certain easily assessed parameters at hospital admission were independently associated with a higher risk of death. The high frequency of antibiotic use points to an over-use of antimicrobials in COVID-19 patients.

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Objectives The majority of available scores to assess mortality risk of coronavirus disease 19 (COVID-19) patients in the emergency department have high risk of bias. Therefore, our aim was to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients, and to compare this score with other existing ones. Methods Consecutive patients (≥18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March-July, 2020. The model was validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients. Results Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO 2 /FiO 2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833 to 0.885]) and Spanish (0.894 [95% CI 0.870 to 0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.

Differences in cytokine profiles may be related to CKD etiology and other disease-associated alterations.

Os autores declaram a inexistência de confl itos de interesse. resumoA doença renal crônica (DRC) é um grave problema de saúde pública cuja prevalência tem aumentado nos últimos anos. Apresenta caráter progressivo e está associada à elevada morbidade e mortalidade. Inúmeros fatores estão associados à instalação e progressão da DRC, tais como obesidade, hipertensão arterial e diabetes mellitus. Além desses fatores, existem evidências de inflamação na fisiopatologia da DRC. Diversas citocinas e quimiocinas têm sido detectadas no plasma e urina de pacientes em estágios precoces da DRC e também relacionadas às complicações da doença. A expressão desses mediadores e a lesão renal sofrem interferência de fár-macos como inibidores de enzima conversora de angiotensina (ECA), estatinas e antagonistas de receptores de citocinas. A modulação da resposta imuno-inflamató-ria pode se tornar alvo para tratamento da DRC. O objetivo deste artigo de revisão foi resumir as evidências científicas do papel da inflamação na DRC, destacando-se os efeitos de citocinas e quimiocinas. Palavras-chave: Citocinas. Quimiocinas. Inflamação. Falência renal crônica. abstractChronic kidney disease (CKD) is a serious public health problem whose prevalence has increased in the last few years. Its progression is associated with high morbidity and mortality. Several factors are associated with the onset and progression of CKD, such as obesity, hypertension and diabetes mellitus. Beyond these factors, there is evidence of a pathophysiological role for inflammation in CKD. Several cytokines and chemokines have been detected in the plasma and urine of patients at early stages of CKD, and have also been related to CKD complications. The expression of these mediators and renal injury may be influenced by drugs such as angiotensin-converting enzyme inhibitors, statins and antagonists of cytokine receptors. Modulation of the immune-inflammatory response can become a target for CKD treatment. The aim of this study was to review the scientific evidence on the role of inflammation in CKD, especially the effects of cytokines and chemokines.