Evidence map›Paper›PMID 42604293›Full record

ArticleJTCVS open2026

Predicting acute kidney injury in adults after cardiac surgery with a novel clinical metric: The cardiac diuretic-responsiveness index.

Michael Tyler Guinn, Travis J Miles, Daniel T Engelman, Marc R Moon, Joseph S Coselli, Todd K Rosengart, Subhasis Chatterjee, Ravi K Ghanta

Abstract read
In one paragraph

Article in JTCVS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

8 authors.

Michael Tyler GuinnMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Travis J MilesMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Daniel T EngelmanDepartment of Surgery, Baystate Medical Center, University of Massachusetts Chan Medical School - Baystate, Springfield, Mass.
Marc R MoonMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Joseph S CoselliMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Todd K RosengartMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Subhasis ChatterjeeMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.
Ravi K GhantaMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Tex.

Funding

Research Training Program in Cardiovascular SurgeryT32HL139430 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Todd K Rosengart · 2018 to 2026
$2.9M
Leveraging Machine Learning for Dynamic Prediction and Mitigation of Acute Kidney Injury after Cardiac SurgeryR01HL176883 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI RAVI K GHANTA · 2025 to 2026
$1.2M
NHLBI NIH HHS R01 HL176883NHLBI NIH HHS T32 HL139430
6 · The paper itself

Abstract

Objective: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common complication after surgery, yet few risk models are used in practice. We evaluated whether a cardiac diuretic responsiveness index (CDRI) can accurately predict CSA-AKI. Methods: Time-series hemodynamic, intake/output volumes, medication, and laboratory data were extracted from electronic health records for 2016 patients who underwent cardiac surgery (2017-2022) and linked to the institutional Society of Thoracic Surgeons Baylor St Luke's Medical Center database. Patients with serum creatinine >4 mg/dL, dialysis before surgery, or those without diuretics administered were excluded. CDRI was defined as urine output in the first hour after initial diuretic administration adjusted for patient weight and diuretic dose (cc/kg/hr/mg furosemide). CSA-AKI was defined by Kidney Disease Improving Global Outcomes creatinine criteria. Segmental regression identified the optimal CDRI threshold. Results: Median time to first dose was 26.4 hours. CSA-AKI occurred in 16.2% (n = 326) of patients who were primarily stage 1 (82.8%, n = 270). Patients who developed CSA-AKI had significantly lower CDRI values (0.0611 vs 0.111 cc/kg/hr/mg furosemide; Conclusions: CDRI outperforms oliguria in predicting CSA-AKI, enabling real-time stratification, and may inform timely intervention to prevent AKI progression.

Indexed as

acute kidney injurycardiac surgerydiuretic responsiveness

Identifiers

PMID42604293
PMCPMC13477067

What OpenQuestion holds

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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.