Evidence map›Paper›PMID 42088135›Full record

ArticleUrology annals

Closing the loop on catheter-associated urinary tract infections: A prospective risk assessment and scoring system for the early prediction and prevention of catheter-associated urinary tract infection.

Rajan Ravichandran, Roshan Yedulla Reddy, Velmurugan Palaniyandi, Hariharasudhan Sekar, Sriram Krishnamoorthy

Abstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rajan RavichandranDepartment of Urology and Renal Transplantation, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Roshan Yedulla ReddyDepartment of Urology and Renal Transplantation, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Velmurugan PalaniyandiDepartment of Urology and Renal Transplantation, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Hariharasudhan SekarDepartment of Urology and Renal Transplantation, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Sriram KrishnamoorthyDepartment of Urology and Renal Transplantation, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Catheter-associated urinary tract infections (CAUTI) are among the most common healthcare-associated infections, particularly in hospitalised patients requiring prolonged catheterisation. Despite standard protocols, preventable lapses in catheter care and clinical practices contribute to the incidence of these infections. Aims and Objectives: This study aimed to identify significant risk factors and develop a point-based CAUTI Risk Scoring System for early prediction and intervention. Materials and Methods: A prospective observational study was conducted over six months at a tertiary care hospital, including 100 catheterized adult inpatients. Demographic data, Clinical variables, and catheter practices were documented. CAUTI was confirmed by urine culture. A risk stratification model was developed by assigning weighted scores to statistically significant variables, categorising patients into low, moderate, and high CAUTI risk groups. A domain-wise heatmap visually represented the novelty and interdisciplinary relevance of the study's contributions across ten clinical research domains. Results: Among the 26% of study participants who had CAUTI overall, the important procedural predictors were open-type drainage systems (p < 0.00001), kinking of catheter tubing (p < 0.00001), and raised urobag placement (p < 0.00001). Clinical risk variables included diabetes mellitus (p = 0.00001), catheter duration greater than 7 days (p = 0.0043), female sex (p = 0.0023), and immobility (p = 0.0014). Strong early signals included turbid urine (p = 0.00004) and unexplained fever (p = 0.00001). A cumulative risk rating system placed patients into low (0-3), moderate (4-6), and high-risk (≥7) categories. Conclusions: This study presents the first validated CAUTI Risk Scoring System, including clinical, procedural, and early bedside indicators. The scoring tool enables proactive intervention and serves as a necessary adjunct to infection prevention plans in hospital environments.

Indexed as

Catheter-associated urinary tract infectionindwelling catheterrisk stratificationscoring systemurinary infections

Identifiers

PMID42088135
PMCPMC13138533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.