Skip to main content
Top
Published in: BMC Infectious Diseases 1/2021

Open Access 01-12-2021 | Septicemia | Research article

Comparing mortality between positive and negative blood culture results: an inverse probability of treatment weighting analysis of a multicenter cohort

Authors: Aibo Liu, Chia-Hung Yo, Lu Nie, Hua Yu, Kuihai Wu, Hoi Sin Tong, Tzu-Chun Hsu, Wan-Ting Hsu, Chien-Chang Lee

Published in: BMC Infectious Diseases | Issue 1/2021

Login to get access

Abstract

Background

The association between blood culture status and mortality among sepsis patients remains controversial hence we conducted a tri-center retrospective cohort study to compare the early and late mortality of culture-negative versus culture-positive sepsis using the inverse probability of treatment weighting (IPTW) method.

Methods

Adult patients with suspected sepsis who completed the blood culture and procalcitonin tests in the emergency department or hospital floor were eligible for inclusion. Early mortality was defined as 30-day mortality, and late mortality was defined as 30- to 90-day mortality. IPTW was calculated from propensity score and was employed to create two equal-sized hypothetical cohorts with similar covariates for outcome comparison.

Results

A total of 1405 patients met the inclusion criteria, of which 216 (15.4%) yielded positive culture results and 46 (21.3%) died before hospital discharge. The propensity score model showed that diabetes mellitus, urinary tract infection, and hepatobiliary infection were independently associated with positive blood culture results. There was no significant difference in early mortality between patients with positive or negative blood culture results. However, culture-positive patients had increased late mortality as compared with culture-negative patients in the full cohort (IPTW-OR, 1.95, 95%CI: 1.14–3.32) and in patients with severe sepsis or septic shock (IPTW-OR, 1.92, 95%CI: 1.10–3.33). After excluding Staphylococcal bacteremia patients, late mortality difference became nonsignificant (IPTW-OR, 1.78, 95%CI: 0.87–3.62).

Conclusions

Culture-positive sepsis patients had comparable early mortality but worse late mortality than culture-negative sepsis patients in this cohort. Persistent Staphylococcal bacteremia may have contributed to the increased late mortality.
Appendix
Available only for authorised users
Literature
1.
go back to reference Martin GS. Sepsis, severe sepsis and septic shock: changes in incidence, pathogens and outcomes. Expert Rev Anti-Infect Ther. 2012;10:701–6.CrossRef Martin GS. Sepsis, severe sepsis and septic shock: changes in incidence, pathogens and outcomes. Expert Rev Anti-Infect Ther. 2012;10:701–6.CrossRef
3.
go back to reference Chou EH, et al. Incidence, trends, and outcomes of infection sites among hospitalizations of sepsis: a nationwide study. PLoS One. 2020;15:e0227752.CrossRef Chou EH, et al. Incidence, trends, and outcomes of infection sites among hospitalizations of sepsis: a nationwide study. PLoS One. 2020;15:e0227752.CrossRef
4.
go back to reference Paoli CJ, Reynolds MA, Sinha M, Gitlin M, Crouser E. Epidemiology and costs of sepsis in the United States—an analysis based on timing of diagnosis and severity level. Crit Care Med. 2018;46:1889.CrossRef Paoli CJ, Reynolds MA, Sinha M, Gitlin M, Crouser E. Epidemiology and costs of sepsis in the United States—an analysis based on timing of diagnosis and severity level. Crit Care Med. 2018;46:1889.CrossRef
5.
go back to reference Deutschman CS, Tracey KJ. Sepsis: current dogma and new perspectives. Immunity. 2014;40:463–75.CrossRef Deutschman CS, Tracey KJ. Sepsis: current dogma and new perspectives. Immunity. 2014;40:463–75.CrossRef
7.
go back to reference Berild D, Mohseni A, Diep LM, Jensenius M, Ringertz SH. Adjustment of antibiotic treatment according to the results of blood cultures leads to decreased antibiotic use and costs. J Antimicrob Chemother. 2006;57:326–30.CrossRef Berild D, Mohseni A, Diep LM, Jensenius M, Ringertz SH. Adjustment of antibiotic treatment according to the results of blood cultures leads to decreased antibiotic use and costs. J Antimicrob Chemother. 2006;57:326–30.CrossRef
15.
go back to reference Singer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). Jama. 2016;315:801–10.CrossRef Singer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). Jama. 2016;315:801–10.CrossRef
16.
go back to reference Robins JM. Analytic methods for estimating HIV treatment and cofactor effects. In : Methodological issues of AIDS Mental Health Research. Eds.: D. G. Ostrow & R. Kessler. New York: Plenum Publishing; 1993. p 213–290. Robins JM. Analytic methods for estimating HIV treatment and cofactor effects. In : Methodological issues of AIDS Mental Health Research. Eds.: D. G. Ostrow & R. Kessler. New York: Plenum Publishing; 1993. p 213–290.
17.
go back to reference Austin PC. Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis. Stat Med. 2016;35:5642–55.CrossRef Austin PC. Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis. Stat Med. 2016;35:5642–55.CrossRef
18.
go back to reference Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the joint causal effect of nonrandomized treatments. J Am Stat Assoc. 2001;96:440–8.CrossRef Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the joint causal effect of nonrandomized treatments. J Am Stat Assoc. 2001;96:440–8.CrossRef
19.
go back to reference Brookhart MA, Wyss R, Layton JB, Stürmer T. Propensity score methods for confounding control in nonexperimental research. Circ: Cardiovasc Qual Outcomes. 2013;6:604–11. Brookhart MA, Wyss R, Layton JB, Stürmer T. Propensity score methods for confounding control in nonexperimental research. Circ: Cardiovasc Qual Outcomes. 2013;6:604–11.
20.
go back to reference Ali MS, et al. Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review. J Clin Epidemiol. 2015;68:122–31.CrossRef Ali MS, et al. Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review. J Clin Epidemiol. 2015;68:122–31.CrossRef
24.
go back to reference Chong YP, et al. Persistent Staphylococcus aureus bacteremia: a prospective analysis of risk factors, outcomes, and microbiologic and genotypic characteristics of isolates. Medicine. 2013;92:98.CrossRef Chong YP, et al. Persistent Staphylococcus aureus bacteremia: a prospective analysis of risk factors, outcomes, and microbiologic and genotypic characteristics of isolates. Medicine. 2013;92:98.CrossRef
25.
go back to reference Hageman J, et al. Management of persistent bacteremia caused by methicillin-resistant Staphylococcus aureus: a survey of infectious diseases consultants. Clin Infect Dis. 2006;43:E42–5.CrossRef Hageman J, et al. Management of persistent bacteremia caused by methicillin-resistant Staphylococcus aureus: a survey of infectious diseases consultants. Clin Infect Dis. 2006;43:E42–5.CrossRef
Metadata
Title
Comparing mortality between positive and negative blood culture results: an inverse probability of treatment weighting analysis of a multicenter cohort
Authors
Aibo Liu
Chia-Hung Yo
Lu Nie
Hua Yu
Kuihai Wu
Hoi Sin Tong
Tzu-Chun Hsu
Wan-Ting Hsu
Chien-Chang Lee
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2021
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-021-05862-w

Other articles of this Issue 1/2021

BMC Infectious Diseases 1/2021 Go to the issue