Literature DB >> 22463870

Prediction of community-onset bacteremia among febrile adults visiting an emergency department: rigor matters.

Ching-Chi Lee1, Chi-Jung Wu, Chih-Hsien Chi, Nan-Yao Lee, Po-Lin Chen, Hsin-Chun Lee, Chia-Ming Chang, Nai-Ying Ko, Wen-Chien Ko.   

Abstract

OBJECTIVES: Bacteremia is a severe bacterial infection with significant mortality and morbidity. Clinical parameters that reliably predict the presence of community-onset bacteremia are less elucidated.
METHODS: During 96 randomly selected days between August 2006 and July 2007, a prospective study was conducted to analyze the risk factors of community-onset bacteremia among febrile adults who visited the emergency department (ED) of a medical center. Patients hospitalized in the 30 days prior to the study, patients experiencing consciousness alteration, and nursing facility residents were excluded.
RESULTS: The mean age of the 396 febrile adults enrolled in the study was 53.8 years (range, 18-95 years), and 60 (15.2%) patients had true bacteremia, with the predominance of monomicrobial Gram-negative pathogens (42 patients). In a multivariate analysis, several factors were independently associated with community-onset bacteremia, including an age of >65 years (odds ratio [OR], 2.81; 95% confidence interval [CI], 1.25-6.33), the presence of rigor (OR, 13.7; 95% CI, 4.47-42.0) or chills (OR, 6.04; 95% CI, 1.10-32.9), a body temperature >39.9 °C (OR, 2.68; 95% CI, 1.03-6.94), blood urea nitrogen >20 mg/dL (OR, 5.56; 95% CI, 2.03-15.7), a blood urea nitrogen/creatinine ratio >16 (OR, 2.29; 95% CI, 1.03-5.11), and thrombocytopenia (OR, 6.09; 95% CI, 1.84-20.0). After scoring each risk factor, a logistic regression model for the prediction of bacteremia was developed, and the area under the receiver operating characteristic curve was 0.91.
CONCLUSIONS: Some easily determined clinical parameters were independently associated with community-onset bacteremia among febrile adults, and the most significant predictor was the presence of rigor. Although the proposed predictive model needs further validation, it may be of use for the early identification of bacteremic episodes in ED practice.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22463870     DOI: 10.1016/j.diagmicrobio.2012.02.009

Source DB:  PubMed          Journal:  Diagn Microbiol Infect Dis        ISSN: 0732-8893            Impact factor:   2.803


  17 in total

1.  Elevated blood urea nitrogen and medical outcome of psychiatric inpatients.

Authors:  Peter Manu; Zainab Al-Dhaher; Sameer Khan; John M Kane; Christoph U Correll
Journal:  Psychiatr Q       Date:  2014-03

2.  Clinically significant hemodynamic alterations after propacetamol injection in the emergency department: prevalence and risk factors.

Authors:  June-Il Bae; Shin Ahn; Yoon-Seon Lee; Won Young Kim; Jae Ho Lee; Bum Jin Oh; Kyung Soo Lim
Journal:  Intern Emerg Med       Date:  2016-05-10       Impact factor: 3.397

Review 3.  Shivering has little diagnostic value in diagnosing serious bacterial infection in children: a systematic review and meta-analysis.

Authors:  Maud Vandenberk; Kasper De Bondt; Emma Nuyts; Jaan Toelen; Jan Y Verbakel
Journal:  Eur J Pediatr       Date:  2020-11-11       Impact factor: 3.183

4.  A risk prediction model for screening bacteremic patients: a cross sectional study.

Authors:  Franz Ratzinger; Michel Dedeyan; Matthias Rammerstorfer; Thomas Perkmann; Heinz Burgmann; Athanasios Makristathis; Georg Dorffner; Felix Lötsch; Alexander Blacky; Michael Ramharter
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

5.  Machine learning for fast identification of bacteraemia in SIRS patients treated on standard care wards: a cohort study.

Authors:  Franz Ratzinger; Helmuth Haslacher; Thomas Perkmann; Matilde Pinzan; Philip Anner; Athanasios Makristathis; Heinz Burgmann; Georg Heinze; Georg Dorffner
Journal:  Sci Rep       Date:  2018-08-15       Impact factor: 4.379

6.  Strategies for increasing diagnostic yield of community-onset bacteraemia within the emergency department: A retrospective study.

Authors:  Kathrin Rothe; Christoph D Spinner; Armin Ott; Christiane Querbach; Michael Dommasch; Cassandra Aldrich; Friedemann Gebhardt; Jochen Schneider; Roland M Schmid; Dirk H Busch; Juri Katchanov
Journal:  PLoS One       Date:  2019-09-12       Impact factor: 3.240

7.  [Predictive factors of bacteraemia in the patients seen in emergency departments due to infections].

Authors:  S Z Iqbal-Mirza; R Estévez-González; V Serrano-Romero de Ávila; E de Rafael González; E Heredero-Gálvez; A Julián-Jiménez
Journal:  Rev Esp Quimioter       Date:  2019-11-29       Impact factor: 1.553

8.  Predictors of Bacteraemia in Patients with Suspected Community-Acquired Pneumonia.

Authors:  Cornelis H van Werkhoven; Susanne M Huijts; Douwe F Postma; Jan Jelrik Oosterheert; Marc J M Bonten
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

9.  Identifying Patients with Bacteremia in Community-Hospital Emergency Rooms: A Retrospective Cohort Study.

Authors:  Taro Takeshima; Yosuke Yamamoto; Yoshinori Noguchi; Nobuyuki Maki; Koichiro Gibo; Yukio Tsugihashi; Asako Doi; Shingo Fukuma; Shin Yamazaki; Eiji Kajii; Shunichi Fukuhara
Journal:  PLoS One       Date:  2016-03-29       Impact factor: 3.240

10.  Risk of bacteremia in patients presenting with shaking chills and vomiting - a prospective cohort study.

Authors:  M Holmqvist; M Inghammar; L I Påhlman; J Boyd; P Åkesson; A Linder; F Kahn
Journal:  Epidemiol Infect       Date:  2020-03-31       Impact factor: 2.451

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.