Evidence mapPaperPMID 41816445Full record

ArticleJournal of thoracic disease2026

Predictors and clinical outcomes of acute kidney injury after thoracic surgery: a retrospective cohort study.

Kittikhun Jomjai, Tanyong Pipanmekaporn, Prangmalee Leurcharusmee, Pawinee Chotprom, Tanthip Jiruttikarnsakul, Panuwat Lapisatepun, Settapong Boonsri, Wariya Sukhupragarn, Artid Samerchua, Nutchanart Bunchungmongkol and 5 more

Erratum issuedAbstract read
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Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

15 authors.

Kittikhun Jomjai *Department of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0009-0007-7745-6101
Tanyong Pipanmekaporn *Department of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-7154-5671
Prangmalee LeurcharusmeeDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-3934-9002
Pawinee ChotpromDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Tanthip JiruttikarnsakulDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Panuwat LapisatepunDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-1758-1297
Settapong BoonsriDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0009-0001-9723-3278
Wariya SukhupragarnDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-8481-1358
Artid SamerchuaDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0003-2556-5422
Nutchanart BunchungmongkolDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-6849-8701
Suraphong LorsomradeeDepartment of Anesthesiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-6684-5407
Jiraporn KhoranaDepartment of Biomedical Informatics and Clinical Epidemiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-9023-0923
Apichat TantraworasinDepartment of Biomedical Informatics and Clinical Epidemiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-7913-2799
Luepol PipanmekapornDepartment of Computer and Information Science, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.ORCID https://orcid.org/0009-0005-5882-9342
Suree LekawanvijitDepartment of Pathology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-5488-8119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI), defined as a rapid decline of renal function, is a frequent complication observed after major surgical procedures. In patients undergoing thoracic surgery, the reported incidence of AKI ranges from 5% to 15%. The development of AKI is associated with an elevated risk of postoperative complications, including the need for reintubation, longer hospital admissions, and higher mortality rates. During one-lung ventilation (OLV), intraoperative hypoxemia and hypercarbia, along with systemic inflammation induced by alveolar over-distension, can contribute to decreased renal perfusion, which may ultimately result in AKI. This study aims to determine the incidence, identify predictive factors, and evaluate the clinical outcomes associated with AKI following thoracic surgery. Methods: In retrospective cohort study, all consecutive patients aged 18 years and over undergoing non-cardiac thoracic surgery at a tertiary university hospital between 2012 and 2021 were enrolled. AKI was diagnosed by Kidney Disease Improving Global Outcomes (KDIGO)-2012. The univariable and multivariable logistic regression were analyzed and presented as odds ratio (OR) and 95% confidence interval (CI). A Kaplan-Meier curve and log-rank test were used for comparison of hospital mortality between patients with or without AKI. Results: The incidence of AKI was 23.9% (318 of 1,329 patients), with cases classified as stage I (184, 13.8%), stage II (115, 8.7%), or stage III (19, 1.4%) according to the KDIGO criteria. In the multivariable logistic regression analysis, age ≥70 years (OR, 1.74; 95% CI: 1.21-2.50, P=0.003), body mass index (BMI) >25 kg/m Conclusions: The findings of this study highlight important predictors for AKI in patients undergoing thoracic surgery. Recognizing these predictors early may support timely interventions and the development of strategies aimed at reducing the likelihood of AKI, thereby promoting better postoperative recovery.

Indexed as

Acute kidney injury (AKI)outcomespredictorsthoracic surgery

Identifiers

PMID41816445
PMCPMC12972776

What Socratic holds

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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 Socratic graph.