INTRODUCTION: The knowledge of the severity level of patients admitted to the Intensive Care Unit... more INTRODUCTION: The knowledge of the severity level of patients admitted to the Intensive Care Unit (ICU) is of fundamental importance. This evaluation can be done through prognostic scoring systems, such as SAPS3, which predicts hospital mortality, allowing to evaluate the quality of the service provided and to compare results with those of other centers with patients of similar severity. OBJECTIVES: To evaluate the discriminatory power of the SAPS3 score in patients hospitalized in a general ICU of a tertiary hospital in Teresina (PI). METHODS: Retrospective observational cohort study of patients' medical charts was performed from September to november, 2017. Data on the first hour of admission to the ICU were used to calculate SAPS3. The validation was calculated by the Hosmer-Lemeshow method and the discrimination was obtained through the ROC curve. This study was approved by the research ethics committee of the institution. RESULTS: A total of 107 patients were included in the study, with a mean age of 59.9 ± 16.9 years. Surgical admissions were responsible for 48.6% of admissions. The group of non-survivors had greater hospital (p = 0.017) and ICU (p = 0.023) length of stay.
INTRODUCTION: The knowledge of the severity level of patients admitted to the Intensive Care Unit... more INTRODUCTION: The knowledge of the severity level of patients admitted to the Intensive Care Unit (ICU) is of fundamental importance. This evaluation can be done through prognostic scoring systems, such as SAPS3, which predicts hospital mortality, allowing to evaluate the quality of the service provided and to compare results with those of other centers with patients of similar severity. OBJECTIVES: To evaluate the discriminatory power of the SAPS3 score in patients hospitalized in a general ICU of a tertiary hospital in Teresina (PI). METHODS: Retrospective observational cohort study of patients' medical charts was performed from September to november, 2017. Data on the first hour of admission to the ICU were used to calculate SAPS3. The validation was calculated by the Hosmer-Lemeshow method and the discrimination was obtained through the ROC curve. This study was approved by the research ethics committee of the institution. RESULTS: A total of 107 patients were included in the study, with a mean age of 59.9 ± 16.9 years. Surgical admissions were responsible for 48.6% of admissions. The group of non-survivors had greater hospital (p = 0.017) and ICU (p = 0.023) length of stay.
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