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"This novel screening tool effectively identified high-risk patients to target resources and promoted improvements in CLABSI-prevention processes in the PICU and PCICU" Morgenstern et al (2024).

Nurse-driven CLABSI risk factor screening tool

Abstract:

Background: Despite strong adherence to central line associated bloodstream infection (CLABSI) infection prevention bundles, the CLABSI rate in our academic pediatric intensive care unit (PICU) and pediatric cardiac intensive unit (PCICU) remained high.

Methods: We developed a novel screening tool that stratified patients’ risk for CLABSI and considered risk-mitigation strategies.

Results: Of 1583 screenings, 30% were classified as high-risk, 27% as moderate-risk, and 43% as low-risk. With accurate screening, the tool was 100% sensitive to patients who developed CLABSI, with a negative predictive value of 100% for low-risk screens. The CLABSI rate declined from 1.83 per 1000 catheter-days to 0.98 and 1.02 in 2021 and 2022, respectively, with unprecedented consecutive months CLABSI free. Device utilization was stable across both units, declining by 22% in the PICU and rising in the PCICU with increased cardiac surgeries. Clinicians expressed increased awareness of patient CLABSI risk factors and mitigation strategies in surveys.

Discussions: This novel screening tool effectively identified high-risk patients to target resources and promoted improvements in CLABSI-prevention processes in the PICU and PCICU.

Conclusions: A novel nurse-driven CLABSI risk factor screening tool identified and focused resources on patients at high-risk for CLABSI, and increased awareness and proactive risk mitigation by clinicians.


Reference:

Morgenstern S, Thompson K, Panton S, Donnelly V, Pau S, Nelson K, Booth L, McIlquham T, Kitlas J, Schumacher C, Milstone AM, Bernier M, Sick-Samuels AC. Identifying high-risk central lines in critically ill children: a novel nurse-driven screening and mitigation intervention to reduce CLABSI. Am J Infect Control. 2024 Nov 4:S0196-6553(24)00818-6. doi: 10.1016/j.ajic.2024.10.029. Epub ahead of print. PMID: 39505114.

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