Evidence map›Paper›PMID 40121520›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2025

Intraoperative Renal Near-Infrared Spectroscopy Monitoring as a Predictor of Renal Outcomes in Cardiac Surgery.

Buket Özyaprak, Yılmaz Apaydın, Şule Balk, Mehmet Gamlı, Abdulkadir İskender, Gürcan Güler, Damla Bozan Güler, Ayşe Neslihan Balkaya, Tuğba Onur, Canan Yılmaz and 5 more

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 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

15 authors.

Buket ÖzyaprakDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0002-6327-4573
Yılmaz ApaydınDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0003-0583-8198
Şule BalkDepartment of Anesthesiology and Reanimation, Basaksehir Cam and Sakura City Hospital Istanbul, Istanbul, Turkey.ORCID 0009-0006-0826-3827
Mehmet GamlıDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0002-5618-2734
Abdulkadir İskenderDepartment of Anesthesiology and Reanimation, Bursa City Hospital, Bursa, Turkey.ORCID 0000-0002-0825-9741
Gürcan GülerDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0001-6023-3349
Damla Bozan GülerDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0009-0003-9412-7466
Ayşe Neslihan BalkayaDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0001-8031-6264
Tuğba OnurDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0002-5080-4555
Canan YılmazDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0002-6626-3626
Ümran KaracaDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0001-5922-2300
Filiz AtaDepartment of Anesthesiology and Reanimation, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0003-2472-1681
Yusuf AtaDepartment of Cardiovasculary Surgery, University of Health Science, Bursa Yüksek Ihtisas Training and Research Hospital, Bursa, Turkey.ORCID 0000-0002-1105-5862
Gönül ErkanDepartment of Anesthesiology and Reanimation, Ahi Evren Training and Research Hospital, Health Sciences University, Trabzon, Turkey.ORCID 0000-0002-2028-4288
Nail KahramanDepartment of Cardiovascular Surgery, University of Health Science, Bursa City Hospital, Bursa, Turkey.ORCID 0000-0001-9343-0947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Acute renal failure (ARF) is a critical complication following open-heart surgery, significantly impacting morbidity and mortality. This study aimed to evaluate the association between intraoperative renal near-infrared spectroscopy (NIRS) findings and postoperative ARF in 357 patients undergoing cardiac surgery with cardiopulmonary bypass (CPB). MATERIAL AND METHODS This prospective study included 357 patients undergoing open-heart surgery with CPB. ARF diagnosis was based on KDIGO criteria. NIRS sensors were placed bilaterally at the T12/L2 level under ultrasound guidance, and renal oxygenation (rSO2) values were continuously monitored intraoperatively. Patients were categorized into ARF and non-ARF groups for comparative analysis. RESULTS ARF developed in 12.3% (n=44) of patients. ARF patients were older (p=0.024) and had longer surgery (p<0.001), CPB (p=0.004), and aortic cross-clamping durations (p=0.013). They required more blood products (p<0.001) and intra-aortic balloon pump support (p=0.027). Intensive care unit stays were significantly longer in ARF patients (p=0.036). NIRS analysis showed significant rSO2 reductions in ARF patients. Time spent with rSO2 below 80%, 70%, and 60% was a strong predictor of ARF. Receiver operating characteristic (ROC) analyses demonstrated that time exceeding 30 minutes below the 60% threshold predicted ARF with 96.5% specificity and 86.4% sensitivity. CONCLUSIONS Intraoperative NIRS monitoring is crucial for detecting renal perfusion abnormalities during high-risk surgeries. Declines below 80%, 70%, and 60% thresholds strongly predict ARF. Timely interventions, such as fluid resuscitation and hemodynamic support, can mitigate risks. ARF patients require intensive postoperative monitoring due to prolonged ICU stays and complications.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresKidneyMonitoring, IntraoperativeAgedCardiopulmonary BypassFemaleHumansMaleMiddle AgedPostoperative ComplicationsProspective StudiesSpectroscopy, Near-Infrared

Identifiers

PMID40121520
PMCPMC11948832

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Registered trials

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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.