Evidence map›Paper›PMID 41438832›Full record

ArticleGMS hygiene and infection control2025

Early detection of central line-associated bloodstream infection in intensive care unit patients using the systemic inflammatory response index (SIRI).

Rijhul Lahariya, Gargee Anand

Abstract read
In one paragraph

Article in GMS hygiene and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Rijhul LahariyaDepartment of Microbiology, All India Institute of Medical Sciences, Patna, Bihar, India.
Gargee AnandDepartment of Microbiology, All India Institute of Medical Sciences, Patna, Bihar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Central line-associated bloodstream infections (CLABSIs) are life-threatening complications in critically ill patients, necessitating early identification for timely intervention. This study evaluates the predictive performance of Systemic Inflammatory Response Index (SIRI), a novel composite marker derived from routine blood counts, for early prediction of CLABSI within first two calendar days following central venous catheter (CVC) insertion. Method: In this observational study at a tertiary ICU, 234 adults with CVCs for over two days were classified as CLABSI-positive or negative per CDC/NHSN criteria. SIRI was calculated using the formula (neutrophils×monocytes/lymphocytes) based on day 2 complete blood counts. Logistic regression and receiver operating characteristic (ROC) curve analysis was done to determine diagnostic performance. Results: CLABSI was diagnosed in 39 patients. Median SIRI values were significantly higher in CLABSI group (37.3 vs. 12.0; p<0.001). In univariate logistic regression, SIRI emerged as an independent predictor of CLABSI (OR=1.0097; 95% CI: 1.001-1.018; p=0.015). ROC analysis demonstrated a moderate discriminative power with AUROC=0.72 (95% CI: 0.64-0.80). At optimal threshold, SIRI achieved 84.6% sensitivity, 52.8% specificity, 58.1% accuracy, 26.4% positive predictive value (PPV) and a notably high negative predictive value (NPV) of 94.5%, supporting its value as an early rule-out marker for CLABSI. Conclusion: SIRI, derived from routine complete blood counts, shows strong potential as a non-invasive, early screening marker for CLABSI. Its high sensitivity and NPV support its use for early rule-out, especially in settings lacking rapid diagnostics. Further prospective validation is warranted.

Indexed as

central line-associated bloodstream infectionCLABSIinflammatory biomarkersSIRIsystemic inflammatory response index

Identifiers

PMID41438832
PMCPMC12720401

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