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1.
Clin Infect Dis ; 72(6): 942-949, 2021 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-32146482

RESUMO

BACKGROUND: Severity stratification scores developed in intensive care units (ICUs) are used in interventional studies to identify the most critically ill. Studies that evaluate accuracy of these scores in ICU patients admitted with pneumonia are lacking. This study aims to determine performance of severity scores as predictors of mortality in critically ill patients admitted with pneumonia. METHODS: Prospective cohort study in a general ICU in Brazil. ICU severity scores (Simplified Acute Physiology Score 3 [SAPS 3] and Sepsis-Related Organ Failure Assessment [qSOFA]), prognostic scores of pneumonia (CURB-65 [confusion, urea, respiratory rate, blood pressure, age] and CRB-65 [confusion, respiratory rate, blood pressure, age]), and clinical and epidemiological variables in the first 6 hours of hospitalization were analyzed. RESULTS: Two hundred patients were included between 2015 and 2018, with a median age of 81 years (interquartile range, 67-90 years) and female predominance (52%), primarily admitted from the emergency department (65%) with community-acquired pneumonia (CAP, 80.5%). SAPS 3, CURB-65, CRB-65,and qSOFA all exhibited poor performance in predicting mortality. Multivariate regression identified variables independently associated with mortality that were used to develop a novel pneumonia-specific ICU severity score (Pneumonia Shock score) that outperformed SAPS 3, CURB-65, and CRB-65. The Shock score was validated in an external multicenter cohort of critically ill patients admitted with CAP. CONCLUSIONS: We created a parsimonious score that accurately identifies patients with pneumonia at highest risk of ICU death. These findings are critical to accurately stratify patients with severe pneumonia in therapeutic trials that aim to reduce mortality.


Assuntos
Infecções Comunitárias Adquiridas , Unidades de Terapia Intensiva , Pneumonia , Idoso , Idoso de 80 Anos ou mais , Brasil/epidemiologia , Infecções Comunitárias Adquiridas/diagnóstico , Infecções Comunitárias Adquiridas/epidemiologia , Feminino , Mortalidade Hospitalar , Hospitalização , Humanos , Unidades de Terapia Intensiva/estatística & dados numéricos , Masculino , Pneumonia/diagnóstico , Pneumonia/epidemiologia , Prognóstico , Estudos Prospectivos , Estudos Retrospectivos , Índice de Gravidade de Doença
2.
PLoS One ; 15(11): e0240793, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33147243

RESUMO

OBJECTIVE: This study aimed to assess the performance of a commonly used ICU severity score (SAPS3) and determine whether an alternative scoring system may be more accurate across all age strata. METHODS: Retrospective cohort study in a general ICU in Brazil. A secondary analysis was performed with clinical and epidemiological data, present in the first 24 hours of unit admission. Then, a binary logistic regression, followed by cross-validation, was made to develop a novel prognostic tool. ICU mortality was the primary outcome evaluated. RESULTS: A total of 3042 patients were included over the study period between August 2015 and July 2018 with a median age of 67 ± 18.4 years. SAPS3 performed fairly in prediction of ICU mortality, particularly in the 80 years or older subset. Multivariable regression identified variables independently associated with mortality that were used to develop the Age Calibrated ICU Score (ACIS) tool that performed similarly to SAPS3 across age categories, being slightly superior in the very elderly population (AUC 0.80 vs 0.72). CONCLUSIONS: The ACIS offers a robust and simple tool to predict ICU mortality, particularly in an increasingly elderly critical care population.


Assuntos
Estado Terminal/terapia , Mortalidade Hospitalar , Hospitalização/estatística & dados numéricos , Unidades de Terapia Intensiva/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Brasil , Calibragem , Estudos de Coortes , Estado Terminal/classificação , Estado Terminal/mortalidade , Feminino , Humanos , Unidades de Terapia Intensiva/normas , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Prognóstico , Índice de Gravidade de Doença
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