Evidence map›Paper›PMID 40549095›Full record

Observational studyJournal of ultrasound2025

Renal resistive index for the prediction of augmented renal clearance: a prospective observational study.

Mrudula Prasanna, Dilip Shende, Rajathadri Hosur Ravikumar, Lokesh Kashyap, Sudip Kumar Datta, Surabhi Vyas, Bikash Ranjan Ray

Abstract readObservational Study
In one paragraph

Observational study in Journal of ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Mrudula PrasannaCritical Care Medicine, Manipal Hospitals, Sarjapur Road, Bengaluru, India.
Dilip ShendeDepartment of Anaesthesiology, Pain Medicine and Critical Care Medicine, AIIMS, Room 5012, 5Th Floor, Academic Block, Aurobindo Marg, Ansari Nagar, New Delhi, 110029, India.
Rajathadri Hosur RavikumarCritical Care Medicine, Ramaiah Medical College, Bengaluru, India.
Lokesh KashyapDepartment of Anaesthesiology, Pain Medicine and Critical Care Medicine, AIIMS, Room 5012, 5Th Floor, Academic Block, Aurobindo Marg, Ansari Nagar, New Delhi, 110029, India.
Sudip Kumar DattaDepartment of Laboratory Medicine, AIIMS, New Delhi, India.
Surabhi VyasDepartment of Radiodiagnosis and Interventional Radiology, AIIMS, New Delhi, India.
Bikash Ranjan RayDepartment of Anaesthesiology, Pain Medicine and Critical Care Medicine, AIIMS, Room 5012, 5Th Floor, Academic Block, Aurobindo Marg, Ansari Nagar, New Delhi, 110029, India. bikashray.aiims@gmail.com.ORCID http://orcid.org/0000-0003-1461-1518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAugmented renal clearance (ARC) is frequently observed in ICU patients and is associated with renal vascular changes. We hypothesized that the renal resistive index (RRI) could predict ARC. Secondary objectives included evaluating the correlation between RRI and creatinine clearance (CrCl), identifying risk factors for ARC, and assessing its impact on ICU outcomes such as length of stay and survival.

methodsThis prospective observational study included 108 adult ICU patients without kidney disease, enrolled within 24 h of admission. RRI measurement, 24-h CrCl, and ARC score calculation were performed on the first day of ICU stay. We analysed RRI's accuracy in predicting ARC and investigated associations with clinical variables and outcomes.

resultsRRI demonstrated high predictive accuracy for ARC (AUROC: 0.897, 95% CI 0.836-0.958). ARC prevalence was 38.9%. Significant risk factors for ARC included younger age, SOFA score, vasopressor use, trauma-related admissions, and diuretic use. A moderate negative correlation between RRI and CrCl was observed (r = - 0.541, p < 0.001). RRI showed superior predictive performance compared to the ARC score (p = 0.0008). ARC did not significantly affect ICU length of stay but was associated with improved ICU survival.

conclusionsRRI is a reliable predictor of ARC in ICU patients and can help identify patients at risk early. Combining RRI with risk factors such as age, trauma-related admissions, and severity of illness may improve ARC detection and guide therapeutic decisions.

Indexed as

KidneyVascular ResistanceAdultAgedCreatinineFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk FactorsUltrasonographyCreatinineAugmented renal clearanceCritical Care SonographyRenal dopplerRenal resistive index

Identifiers

PMID40549095
PMCPMC12496357

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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.