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Objectives: COVID-19 has been associated with long-term consequences to patient wellness and quality of life. Data on post-COVID-19 conditions are scarce in developing countries. This study aimed to investigate long COVID in a cohort of hospitalized patients in Brazil., Methods: Surviving patients discharged from the hospital between July 1, 2020 and March 31, 2021 were assessed between 2 and 12 months after acute onset of COVID-19. The outcomes were the prevalence of persistent symptoms, risk factors associated with long COVID, and quality of life as assessed by the EuroQol 5D-3L questionnaire., Results: Of 439 participants, most (84%) reported at least one long COVID symptom, at a median of 138 days (interquartile range [IQR] 90-201) after disease onset. Fatigue (63.1%), dyspnea (53.7%), arthralgia (56.1%), and depression/anxiety (55.1%) were the most prevalent symptoms. In multivariate analysis, dysgeusia (odds ratio [OR] 2.0, 95% confidence interval [CI] 1.18-3.44, P <0.001) and intensive care unit (ICU) admission (OR 2.6, 95% CI 1.19-6.56, P = 0.03) were independently associated with long COVID. Fifty percent of patients reported a worsened clinical condition and quality of life., Conclusion: Long-term outcomes of SARS-CoV-2 infection in a low- to middle-income country were relevant. Fatigue was the most common persistent symptom. ICU admission was an independent factor associated with long COVID. Dysgeusia could be a potential predictor of long COVID., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: The majority of available scores to assess mortality risk of coronavirus disease 2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore, this cohort aimed 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 (25-75th 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 0.829-0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833-0.885]) and Spanish (0.894 [95% CI 0.870-0.919]) 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: An easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation was designed and validated for early stratification of in-hospital mortality risk of patients with COVID-19., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Background: Yellow fever (YF) is a viral hemorrhagic disease caused by an arbovirus from the Flaviviridae family. Data on the clinical profile of severe YF in intensive care units (ICUs) are scarce. This study aimed to evaluate factors associated with YF mortality in patients admitted to a Brazilian ICU during the YF outbreaks of 2017 and 2018., Methods: This was a longitudinal cohort case series study that included YF patients admitted to the ICU. Demographics, clinical and laboratory data were analyzed. Cox regression identified independent predictors of death risk., Results: A total of 114 patients were studied. The median age was 48 years, and 92.1% were males. In univariate analysis, jaundice, leukopenia, bradycardia, prothrombin time, expressed as a ratio to the international normalized ratio-(PT-INR), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, lactate, arterial pH and bicarbonate, Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score 3 (SAPS 3) severity scores, transfusion of fresh frozen plasma, acute renal failure (Acute Kidney Injury Network stage III (AKIN III)), hemodialysis, cumulative fluid balance at 72 h of ICU, vasopressor use, seizures and grade IV encephalopathy were significantly associated with mortality. In multivariate analysis, factors independently associated with YF mortality were PT-INR, APACHE II, and grade IV hepatic encephalopathy., Conclusions: In the large outbreak in Brazil, factors independently associated with death risk in YF were: PT-INR, APACHE II, and grade IV hepatic encephalopathy. Early identification of patients with YF mortality risk factors may be very useful. Once these patients with a poor prognosis have been identified, proper management should be promptly implemented., (Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.)