Literature DB >> 25245283

Prognostic determinants of community-acquired bloodstream infection in type 2 diabetic patients in ED.

Chia-Hung Yo1, Meng-Tse Gabriel Lee2, Weng-Tein Gi3, Shy-Shin Chang4, Kuang-Chau Tsai1, Shyr-Chyr Chen2, Chien-Chang Lee5.   

Abstract

OBJECTIVES: The objective of the study is to describe the epidemiology and outcome of community-acquired bloodstream infection (BSI) in type 2 diabetic patients in emergency department (ED).
METHODS: All patients admitted to the ED of the university hospital from June 2010 to June 2011 with a history of type 2 diabetes mellitus and microbiologically documented BSI were retrospectively enrolled. Demographic characteristics, Charlson comorbidity index, antibiotic therapy, clinical severity, microbiological etiology, and diabetes-related complications were recorded in a standardized form. The major outcome measure was 30-day survival. χ2 Or Student t test was used for univariate analysis, and Cox proportional hazards models were used for multivariate analysis.
RESULTS: Among 250 enrolled emergency patients with BSI, the overall 30-day mortality rate was 15.5%. Twenty-seven patients (10.7%) developed diabetic ketoacidosis (DKA), and 22 patients (8.8%) developed hyperosmolar hyperglycemic state. On univariate analysis, DKA rather than hyperosmolar hyperglycemic state was associated with adverse outcome. Other risk factors include higher mean glycated hemoglobin level, presence of underlying malignancy, long-term use of steroids, lower respiratory tract infection, and higher Charlson scores. Multivariate analysis identified 3 independent risk factors for early mortality when severity, comorbidity, age, and sex were under control: DKA (hazard ratio, 3.89; 95% confidence interval, 1.6-8.9), inappropriate antibiotics (2.25, 1.05-4.82), and chronic use of steroid (3.89, 1.1-13.2).
CONCLUSION: In type 2 diabetic patients with BSI, a substantial proportion of patients developed DKA. This condition was probably underrecognized by clinicians and constituted an independent risk factor for short-term mortality. Other identified risk factors are potentially correctable and may allow preventive efforts to individuals at greatest potential benefit.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25245283     DOI: 10.1016/j.ajem.2014.08.071

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  5 in total

1.  Stress Hyperglycemia and Mortality in Subjects With Diabetes and Sepsis.

Authors:  Andrea Fabbri; Giulio Marchesini; Barbara Benazzi; Alice Morelli; Danilo Montesi; Cesare Bini; Stefano Giovanni Rizzo
Journal:  Crit Care Explor       Date:  2020-07-15

2.  Metformin Affects Serum Lactate Levels in Predicting Mortality of Patients with Sepsis and Bacteremia.

Authors:  Fu-Cheng Chen; Chia-Te Kung; Hsien-Hung Cheng; Chi-Yung Cheng; Tsung-Cheng Tsai; Sheng-Yuan Hsiao; Chien-Hung Wu; Chih-Min Su
Journal:  J Clin Med       Date:  2019-03-06       Impact factor: 4.241

3.  The effect of pay-for-performance program on infection events and mortality rate in diabetic patients: a nationwide population-based cohort study.

Authors:  Yi-Fang Wu; Mei-Yen Chen; Tien-Hsing Chen; Po-Chang Wang; Yun-Shing Peng; Ming-Shyan Lin
Journal:  BMC Health Serv Res       Date:  2021-01-21       Impact factor: 2.655

4.  Glycosylated Hemoglobin as a Predictor of Sepsis and All-Cause Mortality in Trauma Patients.

Authors:  Feng Guo; Haitao Shen
Journal:  Infect Drug Resist       Date:  2021-07-01       Impact factor: 4.003

5.  Impact of the Acceptance of the Recommendations Made by a Meropenem Stewardship Program in a University Hospital: A Pilot Study.

Authors:  Jorge Alba Fernandez; Jose Luis Del Pozo; Jose Leiva; Mirian Fernandez-Alonso; Irene Aquerreta; Azucena Aldaz; Andres Blanco; Jose Ramón Yuste
Journal:  Antibiotics (Basel)       Date:  2022-03-02
  5 in total

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