Evidence map›Paper›PMID 42598516›Full record

ArticleSaudi medical journal2026

Preoperative Urine Albumin-to-Creatinine Ratio Predicts Acute Kidney Injury After Coronary Artery Bypass Grafting.

Ahmed M Alkhunaizi, Jumana A Al Naser, Khaled D Algarni, Suhaib M Ahmed, Amro M Moubarak, Haralabos D Parissis

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Article in Saudi medical journal, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ahmed M AlkhunaiziDivision of Nephrology, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.ORCID 0000-0002-0580-9912
Jumana A Al NaserDepartment of Cardiovascular Surgery, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.
Khaled D AlgarniDepartment of Cardiovascular Surgery, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.
Suhaib M AhmedDepartment of Cardiovascular Surgery, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.
Amro M MoubarakDepartment of Cardiovascular Surgery, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.
Haralabos D ParissisDepartment of Cardiovascular Surgery, Johns Hopkins Aramco Healthcare, Dhahran, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To prospectively evaluate whether baseline urine albumin-to-creatinine ratio (uACR) predicts acute kidney injury (AKI) and postoperative decline in kidney function in elective, isolated coronary artery bypass grafting (CABG) patients and explore the magnitude of effect across clinically relevant uACR strata. Preoperative uACR is a marker of glomerular endothelial dysfunction and systemic microvascular injury that may identify patients at increased risk for AKI after CABG. Methods: In this single-center prospective cohort study, 111 adults undergoing elective, isolated CABG between January 2020 and December 2024 were stratified by baseline uACR (< 30, 30-300, > 300 milligram/gram[mg/g]). The primary outcome was AKI defined by Kidney Disease Improving Global Outcomes creatinine criteria. Secondary outcomes included peak postoperative creatinine, 6-month estimated glomerular filtration rate (eGFR), ventilator duration, and hospital length of stay. Regression models were adjusted for diabetes, hypertension, body mass index, and baseline eGFR. Log-transformations were applied to skewed variables to improve model performance. Results: The AKI incidence increased across uACR strata: 14.1% (< 30 mg/g), 23.5% (30-300 mg/g), and 66.7% (> 300 mg/g). In adjusted logistic regression (n = 109), each doubling of log-transformed uACR was associated with higher AKI odds (odds ratio 1.44; 95% confidence level 1.03-2.01). Macroalbuminuria (>300 mg/g) conferred a sixfold increase in AKI risk compared with <30 mg/g. Macroalbuminuric patients experienced a 0.75 mg/dL greater rise in postoperative creatinine and a 16.2 mL/min/1.73 m Conclusion: In this single center cohort, elevated preoperative uACR, particularly in the macroalbuminuric range, was associated with AKI and early renal dysfunction after CABG and remained an independent predictor after adjustment. Routine preoperative uACR measurement may aid risk stratification and identify patients for nephroprotective strategies; however, these findings require confirmation in larger, adequately powered studies.

Indexed as

Acute Kidney InjuryAlbuminuriaCoronary Artery BypassCreatininePostoperative ComplicationsAgedBiomarkersFemaleGlomerular Filtration RateHumansMaleMiddle AgedPreoperative PeriodProspective StudiesBiomarkersCreatinineAcute kidney injuryAlbuminuriaBiomarkersCardiac surgical proceduresCoronary artery bypassTreatment outcome

Identifiers

PMID42598516
PMCPMC13471469

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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.