Analysis of Factors Influencing Downtime During Continuous Renal Replacement Therapy in Critically Ill Patients and Construction of a Prediction Model.
Bingbing Pang, Jie Zhang, Yanshuo Wu and 4 others
PMID 42661410WHAT IT FOUND
39.0% of continuous renal replacement therapy days exceeded the 2.4-hour downtime standard in 145 ICU patients.
Catheter problems, transport, plasma exchange, filter changes and agitation were linked to this, and a bedside tool flagged high-risk days.
Key findings
01Across 595 treatment days from 145 patients, mean daily downtime was 2.90 h, and 39.0% of days exceeded the 2.4 h threshold.
02Catheter dysfunction had the strongest independent association (OR 10.528), followed by out-of-unit transport (OR 7.563), plasma exchange (OR 4.654), daily filter replacements (OR 2.629) and agitation (OR 2.331).
03The nomogram based on these five factors had an external validation AUC of 0.835 (95% CI 0.768-0.896).
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
Single-centre retrospective study, so the model may not transport to other ICUs without multicentre prospective validation. The outcome was downtime, not patient-centred outcomes such as mortality or renal recovery, so it does not show that reducing downtime improves those outcomes. Real-time circuit pressures such as transmembrane pressure and filter pressure were not available from the records. The plasma exchange association had a wide confidence interval, likely because few patients were exposed. Some baseline data were incomplete, including BMI, and total calcium rather than ionised calcium was used. The model was developed and tested only in historical data; it has not been evaluated as a clinical intervention.
The easy way to misread this
Do not treat the nomogram as proven to reduce downtime or improve patient outcomes. It was built from retrospective records at one hospital and has not been tested as an intervention.