» Articles » PMID: 26899530

Performance Characteristics and Associated Outcomes for an Automated Surveillance Tool for Bloodstream Infection

Overview
Date 2016 Feb 23
PMID 26899530
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The objective of this study was to evaluate performance metrics and associated patient outcomes of an automated surveillance system, the blood Nosocomial Infection Marker (NIM).

Methods: We reviewed records of 237 patients with and 36,927 patients without blood NIM using the National Healthcare Safety Network (NHSN) definition for laboratory-confirmed bloodstream infection (BSI) as the gold standard. We matched cases with noncases by propensity score and estimated attributable mortality and cost of NHSN-reportable central line-associated bloodstream infections (CLABSIs) and non-NHSN-reportable BSIs.

Results: For patients with central lines (CL), the blood NIM had 73.2% positive predictive value (PPV), 99.9% negative predictive value (NPV), 89.2% sensitivity, and 99.7% specificity. For all patients regardless of CL status, the blood NIM had 53.6% PPV, 99.9% NPV, 84.0% sensitivity, and 99.9% specificity. For CLABSI cases compared with noncases, mortality was 17.5% versus 9.4% (P = .098), and median charge was $143,935 (interquartile range [IQR], $89,794-$257,447) versus $115,267 (IQR, $74,937-$173,053) (P < .01). For non-NHSN-reportable BSI cases compared with noncases, mortality was 23.6% versus 6.7% (P < .0001), and median charge was $86,927 (IQR, $54,728-$156,669) versus $62,929 (IQR, $36,743-$115,693) (P < .0001).

Conclusions: The NIM is an effective screening tool for BSI. Both NHSN-reportable and nonreportable BSI cases were associated with increased mortality and cost.

Citing Articles

A qualitative, multi-centre approach to the current state of digitalisation and automation of surveillance in infection prevention and control in German hospitals.

Eisenmann M, Spreckelsen C, Rauschenberger V, Krone M, Kampmeier S Antimicrob Resist Infect Control. 2024; 13(1):78.

PMID: 39020438 PMC: 11256362. DOI: 10.1186/s13756-024-01436-y.


Catheter-associated urinary tract infections (CAUTIs) and non-CAUTI hospital-onset urinary tract infections: Relative burden, cost, outcomes and related hospital-onset bacteremia and fungemia infections.

Kelly T, Ai C, Jung M, Yu K Infect Control Hosp Epidemiol. 2024; 45(7):864-871.

PMID: 38374686 PMC: 11439594. DOI: 10.1017/ice.2024.26.


The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients.

Karmefors Idvall M, Tanushi H, Berge A, Naucler P, van der Werff S Antimicrob Resist Infect Control. 2024; 13(1):15.

PMID: 38317207 PMC: 10840273. DOI: 10.1186/s13756-024-01373-w.


Prevalence of Hospital-Onset Bacteremia Pre- and Post-Implementation of a Needleless Blood Sampling Device From Existing Peripheral Catheters.

Yu K, Ai C, Jung M, Johnson H, Smith S, LaJoie J J Infus Nurs. 2023; 46(6):332-337.

PMID: 37490579 PMC: 10629599. DOI: 10.1097/NAN.0000000000000513.


Characteristics, costs, and outcomes associated with central-line-associated bloodstream infection and hospital-onset bacteremia and fungemia in US hospitals.

Yu K, Jung M, Ai C Infect Control Hosp Epidemiol. 2023; 44(12):1920-1926.

PMID: 37424226 PMC: 10755163. DOI: 10.1017/ice.2023.132.