Open AccessProcalcitonin prognostic value in predicting mortality among adult patients with sepsis due to Gram-negative bacteria
Author(s) -
Bonita Effendi,
Ceva Wicaksono Pitoyo,
Robert Sinto,
Suhendro Suwarto
Publication year - 2022
Publication title -
medical journal of indonesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.164
H-Index - 9
eISSN - 2252-8083
pISSN - 0853-1773
DOI - 10.13181/mji.oa.225864
Subject(s) - procalcitonin , medicine , sepsis , bacteremia , confidence interval , septic shock , blood culture , retrospective cohort study , medical record , receiver operating characteristic , area under the curve , antibiotics , microbiology and biotechnology , biology
BACKGROUND Sepsis is a leading cause of mortality and morbidity globally. Gram-negative bacteremia was reported to have a high risk of septic shock and poor prognosis. This study aimed to evaluate the role of procalcitonin in predicting mortality in patients with sepsis due to Gram-negative bacteria.
METHODS This was a retrospective cohort study performed based on medical records and sepsis registry of Tropical and Infectious Disease Division, Department of Internal Medicine, Cipto Mangunkusumo Hospital. The inclusion criteria were patients aged ≥18 years diagnosed with sepsis due to Gram-negative bacteria based on blood culture on admission and hospitalized between March 2017 and October 2020. Data taken from medical records included subjects’ characteristics, laboratory parameters, and 28-day mortality outcomes during hospitalization. Receiver operating characteristic was used to determine the area under the curve (AUC) of procalcitonin and its accuracy.
RESULTS A total of 128 patients were eligible. The cumulative survival of patients with Gram-negative bacteremia was 48.4% (standard error 0.96%). The AUC of procalcitonin to predict mortality was 0.45 (95% confidence interval 0.36–0.54). Escherichia coli was the predominant microorganism in blood culture (n = 38, 29.7%).
CONCLUSIONS Procalcitonin has a poor performance in predicting mortality of patients with sepsis due to Gram-negative bacteria.