Hemodialysis equipment malfunction incidence and risk profiling in clinical settings: a retrospective single-center cohort analysis.

Hemodialysis equipment malfunction incidence and risk profiling in clinical settings: a retrospective single-center cohort analysis.

Publication date: Dec 10, 2025

Hemodialysis equipment alarms significantly impact clinical workflow and patient safety. This study aimed to characterize alarm patterns, identify risk factors, and evaluate management effectiveness in hemodialysis facilities. A retrospective cohort analysis was conducted at 1 hemodialysis center from January 2020 to December 2023. Equipment alarm data from hemodialysis stations (Nikkiso, Gambro, and B. Braun) were systematically collected and analyzed. Multivariate regression and machine learning approaches identified risk factors and developed predictive model. Among 4231 recorded alarm events over 32 months, the monthly alarm rate averaged 132. 2 +/- 54. 4 events. The COVID-19 pandemic period (2020-2021) accounted for 82. 2% of alarms, with a significant 78. 3% reduction post-pandemic (P = 0. 022). B. Braun equipment generated 68. 7% of alarms, significantly higher than Gambro (21. 2%) and Nikkiso (10. 1%) devices (P 

Concepts Keywords
32months Alarm fatigue
Hemodialysis Clinical engineering
Learning Hemodialysis equipment
Pandemic Medical device alarms
Patient safety
Predictive modeling
Quality improvement
Vascular access complications

Semantics

Type Source Name
disease MESH COVID-19 pandemic
disease MESH Alarm fatigue

Original Article

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