Secondary infections in a cohort of patients with COVID-19 admitted to an intensive care unit: impact of gram-negative bacterial resistance.

Some studies have shown that secondary infections during the COVID-19 pandemic may have contributed to the high mortality. Our objective was to identify the frequency, types and etiology of bacterial infections in patients with COVID-19 admitted to an intensive care unit (ICU) and to evaluate the results of ICU stay, duration of mechanical ventilation (MV) and in-hospital mortality. It was a single-center study with a retrospective cohort of patients admitted consecutively to the ICU for more than 48 h between March and May 2020. Comparisons of groups with and without ICU- acquired infection were performed. A total of 191 patients with laboratory-confirmed COVID-19 were included and 57 patients had 97 secondary infectious events. The most frequent agents were Acinetobacter baumannii (28.9%), Pseudomonas aeruginosa (22.7%) and Klebsiella pneumoniae (14.4%); multi-drug resistance was present in 96% of A. baumannii and in 57% of K. pneumoniae. The most prevalent infection was ventilator-associated pneumonia in 57.9% of patients with bacterial infections, or 17.3% of all COVID-19 patients admitted to the ICU, followed by tracheobronchitis (26.3%). Patients with secondary infections had a longer ICU stay (40.0 vs. 17 days; p < 0.001), as well as a longer duration of MV (24.0 vs 9.0 days; p= 0.003). There were 68 (35.6%) deaths overall, of which 27 (39.7%) patients had bacterial infections. Among the 123 survivors, 30 (24.4%) had a secondary infections (OR 2.041; 95% CI 1.080 - 3.859). A high incidence of secondary infections, mainly caused by gram-negative bacteria has been observed. Secondary infections were associated with longer ICU stay, MV use and higher mortality.

Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality.

INTRODUCTION: There is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality. METHOD: Retrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26. RESULTS: Of the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality. CONCLUSION: We found a high incidence of AKI; and as predictive factors for its occurrence: age, eGFR and hypertension. AKI was associated with higher hospital mortality.

COVID-19 and Myocardial Injury in a Brazilian ICU: High Incidence and Higher Risk of In-Hospital Mortality. / COVID-19 e Injúria Miocárdica em UTI Brasileira: Alta Incidência e Maior Risco de Mortalidade Intra-Hospitalar.

BACKGROUND: The incidence of myocardial injury (MI) in patients with COVID-19 in Brazil and the prognostic impact of MI have not been elucidated. OBJECTIVES: To describe the incidence of MI in patients with COVID-19 in the intensive care unit (ICU) and to identify variables associated with its occurrence. The secondary objective was to assess high-sensitivity troponin I as a predictor of in-hospital mortality. METHODS: Retrospective, observational study conducted between March and April 2020 with cases of confirmed COVID-19 admitted to the ICU. Numerical variables were compared by using Student t test or Mann-Whitney U test. The chi-square test was used for categorical variables. Multivariate analysis was performed with variables associated with MI and p<0.2 to determine predictors of MI. The ROC curve was used to determine the troponin value capable of predicting higher in-hospital mortality. Survival functions were estimated by use of the Kaplan-Meier method from the cut-off point indicated in the ROC curve. RESULTS: This study assessed 61 patients (63.9% of the male sex, mean age of 66.1±15.5 years). Myocardial injury was present in 36% of the patients. Systemic arterial hypertension (HAS) [OR 1.198; 95%CI: 2.246-37.665] and body mass index (BMI) [OR 1.143; 95%CI: 1.013-1.289] were independent risk predictors. High-sensitivity troponin I >48.3 ng/mL, which was determined in the ROC curve, predicts higher in-hospital mortality [AUC 0.786; p<0.05]. Survival in the group with high-sensitivity troponin I >48.3 ng/mL was lower than that in the group with values ≤48.3 ng/dL [20.3 x 43.5 days, respectively; p<0.05]. CONCLUSION: There was a high incidence of MI in severe COVID-19 with impact on higher in-hospital mortality. The independent risk predictors of MI were SAH and BMI. (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0).

FUNDAMENTOS: A incidência de injúria miocárdica (IM) em pacientes com COVID-19 no Brasil é pouco conhecida e o impacto prognóstico da IM, mal elucidado. OBJETIVOS: Descrever a incidência de IM em pacientes com COVID-19 em unidade de terapia intensiva (UTI) e identificar variáveis associadas à sua ocorrência. O objetivo secundário foi avaliar a troponina I ultrassensível (US) como preditor de mortalidade intra-hospitalar. MÉTODOS: Estudo observacional, retrospectivo, entre março e abril de 2020, com casos confirmados de COVID-19 internados em UTI. Variáveis numéricas foram comparadas com teste t de Student ou U de Mann-Whitney, sendo o teste X2 empregado para as categóricas. Realizou-se análise multivariada com as variáveis associadas à IM e p<0,2 objetivando determinar preditores de IM. Curva ROC foi empregada para determinar o valor da troponina capaz de predizer maior mortalidade intra-hospitalar. Funções de sobrevida foram estimadas pelo método de Kaplan-Meier a partir do ponto de corte apontado pela curva ROC. RESULTADOS: Este estudo avaliou 61 pacientes (63,9% do sexo masculino, média de idade de 66,1±15,5 anos). A IM esteve presente em 36% dos casos. Hipertensão arterial sistêmica (HAS) [RC 1,198; IC95%: 2,246-37,665] e índice de massa corporal (IMC) [RC 1,143; IC95%: 1,013-1,289] foram preditores independentes de risco. Troponina I US >48,3 ng/ml, valor determinado pela curva ROC, prediz maior mortalidade intra-hospitalar [AUC 0,786; p<0,05]. A sobrevida no grupo com troponina I US >48,3 ng/ml foi inferior à do grupo com valores ≤48,3 ng/dl [20,3 x 43,5 dias, respectivamente; p<0,05]. CONCLUSÃO: Observou-se alta incidência de IM na COVID-19 grave com impacto em maior mortalidade intra-hospitalar. HAS e IMC foram preditores independentes de risco de sua ocorrência. (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0).

Acute kidney injury in patients with Covid-19 in a Brazilian ICU: incidence, predictors and in-hospital mortality.

INTRODUCTION: There is little data in the literature on acute kidney injury (AKI) in Covid-19 cases, although relevant in clinical practice in the ICU, especially in Brazil. Our goal was to identify the incidence of AKI, predictive factors and impact on hospital mortality. METHOD: Retrospective cohort of patients with Covid-19 admitted to the ICU. AKI was defined according to KDIGO criteria. Data was collected from electronic medical records between March 17 and April 26. RESULTS: Of the 102 patients, 55.9% progressed with AKI, and the majority (66.7%) was classified as stage 3. Multivariate logistic regression showed age (RC 1.101; 95% CI 1.026 - 1.181; p = 0.0070), estimated glomerular filtration rate - eGFR (RC 1.127; 95% CI 1.022 - 1.243; p = 0.0170) and hypertension (RC 3.212; 95% CI 1.065 - 9.690; p = 0.0380) as independent predictors of AKI. Twenty-three patients died. In the group without kidney injury, there were 8.9% deaths, while in the group with AKI, 33.3% of patients died (RR 5.125; 95% CI 1.598 - 16.431; p = 0.0060). The average survival, in days, was higher in the group without AKI. Cox multivariate analysis showed age (RR 1.054; 95% CI 1.014 - 1.095; p = 0.0080) and severe acute respiratory distress syndrome (RR 8.953; 95% CI 1.128 - 71.048; p = 0.0380) as predictors of hospital mortality. CONCLUSION: We found a high incidence of AKI; and as predictive factors for its occurrence: age, eGFR and hypertension. AKI was associated with higher hospital mortality.