RNMeta-AnalysisNursing in critical care2025

What influences interruption of continuous renal replacement therapy in intensive care unit patients: A review with meta-analysis on outcome variables.

Xia Xiaomei, Chong Yuliang, Qiao Jianhong and 2 others

PMID 39394919

WHAT IT FOUND

Unplanned stops in continuous renal replacement therapy are strongly linked to coagulation markers and circuit mechanics.

Nurses should monitor filter life, blood flow, and clotting times closely, as these factors predict interruptions more reliably than patient age or gender.

Key findings

01Filter life, activated prothrombin time, red blood cell count, transmembrane pressure, blood flow velocity, intermittent saline irrigation, creatinine level, and dilution mode were significantly correlated with unplanned interruption.

02Patient factors such as gender, age, treatment mode, and anticoagulant use were not correlated with unplanned interruption.

03Pre-dilution mode acts as a protective factor against unplanned interruption by reducing blood concentration and coagulation factor levels in the filter.

STILL TO COME

How it was doneWhat they foundWhat it means for RNs

Read the rest of this summary

You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.

Already have one?

What it does not show

The number of included studies was small (15 articles), limiting the robustness of the findings. There was substantial heterogeneity in the results for key factors like filter life and APTT, suggesting differences in how these were measured or managed across studies. The review did not perform meta-regression, so it could not adjust for potential confounders between studies. Findings may not generalize to all ICU populations or CRRT protocols due to regional and procedural variations in the included studies.

Declared interests

The work was supported by a Horizontal Project for Shandong University. No specific conflicts of interest regarding commercial sponsors were declared in the provided text.

The easy way to misread this

Do not interpret the significant correlations as proof that changing these factors will definitely prevent interruptions. The high heterogeneity across studies and the observational nature of the data mean these are associations, not established causal mechanisms. Furthermore, the lack of correlation with patient demographics like age does not mean patient condition is irrelevant, but rather that circuit-specific and coagulation parameters were stronger predictors in this dataset.

Read it on PubMed →