Evidence map›Paper›PMID 39300557›Full record

Observational studyJournal of cardiothoracic surgery2024

Iron metabolism indexes as predictors of the incidence of cardiac surgery-associated acute kidney surgery.

Wenxiu Chen, Hao Zhang, Xiao Shen, Liang Hong, Hong Tao, Jilai Xiao, Shuai Nie, Meng Wei, Ming Chen, Cui Zhang and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Wenxiu Chen *Department of Intensive Care Unit, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, Jiangsu, China.
Hao Zhang *Department of Nephrology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China.
Xiao ShenDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Liang HongDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Hong TaoDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Jilai XiaoDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Shuai NieDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Meng WeiDepartment of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China.
Ming ChenDepartment of Intensive Care Unit, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, Jiangsu, China.
Cui Zhang *Department of Intensive Care Unit, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, Jiangsu, China. zhangcuiacc@163.com.
Wenkui Yu *Department of Intensive Care Unit, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, Jiangsu, China. yudrnj2@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute kidney injury (AKI) is a major complication following cardiac surgery. We explored the clinical utility of iron metabolism indexes for identification of patients at risk for AKI after cardiac surgery.

methodsThis prospective observational study included patients who underwent cardiac surgery between March 2023 and June 2023. Iron metabolism indexes were measured upon admission to the intensive care unit. Multivariable logistic regression analyses were performed to explore the relationship between iron metabolism indexes and cardiac surgery-associated AKI (CSA-AKI). Receiver operating characteristic (ROC) curve was used to assess the predictive ability of iron, APACHE II score and the combination of the two indicators. Restricted cubic splines (RCS) was used to further confirm the linear relationship between iron and CSA-AKI.

resultsAmong the 112 recruited patients, 38 (33.9%) were diagnosed with AKI. Multivariable logistic regression analysis indicated that APACHE II score (odds ratio [OR], 1.208; 95% confidence interval [CI], 1.003-1.455, P = 0.036) and iron (OR 1.069; 95% CI 1.009-1.133, P = 0.036) could be used as independent risk factors to predict CSA-AKI. ROC curve analysis showed that iron (area under curve [AUC] = 0.669, 95% CI 0.572-0.757), APACHE II score (AUC = 0.655, 95% CI 0.557-0.744) and iron and APACHE II score combination (AUC = 0.726, 95% CI 0.632-0.807) were predictive indicators for CSA-AKI. RCS further confirmed the linear relationship between iron and CSA-AKI.

conclusionsElevated iron levels were independently associated with higher risk of CSA-AKI, and there was a linear relationship between iron and CSA-AKI.

Indexed as

Acute Kidney InjuryCardiac Surgical ProceduresIronPostoperative ComplicationsAgedAPACHEFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsROC CurveIronCardiac surgery-associated acute kidney injuryIron metabolism indexesReceiver operating characteristicRestricted cubic splines

Identifiers

PMID39300557
PMCPMC11411798

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.