Evidence map›Paper›PMID 39042622›Full record

ArticlePloS one2024

Better prognosis in surgical aortic valve replacement patients with lower red cell distribution width: A MIMIC-IV database study.

Liancheng Ruan, Lingxiao Zhu, Lang Su, Sheng Hu, Silin Wang, Qiang Guo, Bingen Wan, Shengyu Qiu, Yang Zhang, Yiping Wei

Abstract read
In one paragraph

Article in PloS one, 2024. 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

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

10 authors.

Liancheng RuanDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.ORCID 0000-0002-5969-4428
Lingxiao ZhuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Lang SuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Sheng HuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Silin WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Qiang GuoDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Bingen WanDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Shengyu QiuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Yang ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.
Yiping WeiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Jiangxi Medical College of Nanchang University, Nanchang, Jiangxi Province, China.ORCID 0000-0002-5087-7113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical aortic valve replacement (SAVR) currently stands as a primary surgical intervention for addressing aortic valve disease in patients. This retrospective study focused on the role of the red blood cell distribution width (RDW) in predicting adverse outcomes among SAVR patients.

methodsThe subjects for this study were exclusively derived from the Medical Information Mart for Intensive Care database (MIMIC IV 2.0). Kaplan‒Meier (K-M) curves and Cox proportional hazards regression models were employed to assess the correlation between RDW, one-year mortality, and postoperative atrial fibrillation (POAF). The smooth-fitting curves were used to observe the relative risk (RR) of RDW in one-year mortality and POAF. Furthermore, time-dependent receiver operating characteristic (ROC) curves, the continuous-net reclassification index (NRI), and integrated discrimination improvement (IDI) were employed for comprehensive assessment of the prognostic value of RDW.

resultsAnalysis of RDW revealed a distinctive inverted U-shaped relationship with one-year mortality, while its association with POAF appeared nearly linear. Cox multiple regression models showed that RDW > 14.35%, along with preoperative potassium concentration and perioperative red blood cell transfusion, were significantly linked to one-year mortality (K-M curves, log-rank P < 0.01). Additionally, RDW was associated with both POAF and prolonged hospital stays (P < 0.05). There was no significant difference in length of stay in ICU. Notably, the inclusion of RDW in the predictive models substantially enhanced its performance. This was evidenced by the time-dependent ROC curve (AUC = 0.829), NRI (P< 0.05), IDI (P< 0.05), and K-M curves (log-rank P< 0.01).

conclusionsRDW serves as a robust prognostic indicator for SAVR patients, offering a novel means of anticipating adverse postoperative events.

Indexed as

Aortic ValveErythrocyte IndicesHeart Valve Prosthesis ImplantationAgedAtrial FibrillationDatabases, FactualFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPostoperative ComplicationsPrognosisProportional Hazards ModelsRetrospective StudiesROC Curve

Identifiers

PMID39042622
PMCPMC11265686

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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.