Evidence map›Paper›PMID 39103544›Full record

ArticleScientific reports2024

Association of baseline serum sodium with long-term outcomes in newly diagnosed coronary heart disease patients without heart failure: a prospective cohort study.

Zelong Cao, Wenqing Zhu, Chaonan Shen, Bo Gao, Naying Jin, Fang Li, Bin Zhang, Gang Liu, Liang Zheng, Mingqi Zheng

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. 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 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

5 · Who and what money

Authors and funding

10 authors.

Zelong Cao *Department of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China.
Wenqing Zhu *Tongji University School of Medicine, Tongji University, Shanghai, 200092, China.
Chaonan Shen *Tongji University School of Medicine, Tongji University, Shanghai, 200092, China.
Bo GaoDepartment of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China.
Naying JinThe First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China.
Fang LiThe Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei, China.
Bin ZhangDepartment of Cardiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075061, Hebei, China.
Gang LiuDepartment of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China.
Liang ZhengTongji University School of Medicine, Tongji University, Shanghai, 200092, China. zhengliang@tongji.edu.cn.
Mingqi ZhengDepartment of Cardiology, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, Hebei, China. mzheng@hebmu.edu.cn.

Funding

Hebei Province Finance Department Project LS202214Hebei Province Finance Department Project ZF2024226Hebei Provincial Health Commission Project 20190448Industry University Research Cooperation Special Project CXY2024020Key Discipline Construction Project of Shanghai Pudong New Area Health Commission PWZxk2022-20Key Science and Technology Research Program of Hebei Provincial Health Commission 20230991S&T Program of Hebei 22377719DS&T Program of Hebei 22377771DScience and Technology Plan Project of Jiangxi Provincial Health Commission SKJP220227143
6 · The paper itself

Abstract

Sodium is crucial for maintaining cardiovascular health, especially in relation to heart failure. The impact of baseline serum sodium concentrations on the outcomes of newly diagnosed coronary heart disease (CHD) without heart failure remains unclear. This prospective cohort study included 681 patients who were newly diagnosed with CHD. Cox proportional hazards models and restricted cubic spline (RCS) analysis were used to assess the relationship between serum sodium concentrations and major adverse cardiovascular events. The improvement in traditional prediction models by the addition of serum sodium concentrations was assessed using changes in the C-statistic, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). During a median follow-up of 51.04 months (IQR: 40.88-53.80 months), 131 events were recorded. Multivariate Cox proportional hazards models showed that the L2 group (136-138.9 mmol/L) had the highest MACE risk. Compared to L2, the hazard ratios (HRs) and 95% confidence intervals (CIs) for the L1 (130-135.9 mmol/L), L3 (139-140.9 mmol/L), L4 (141-142.9 mmol/L), and L5 (143-147.0 mmol/L) groups were 0.31 (0.14-0.70, P = 0.005), 0.48 (030-0.78, P = 0.003), 0.56 (0.34-0.92, P = 0.022), and 0.37 (0.22-0.64, P < 0.001), respectively. Including serum sodium concentrations in the prediction model significantly improved the C-statistic from 0.647 to 0.679 (P = 0.022), with an NRI of 0.338 (P < 0.001) and an IDI of 0.026 (P < 0.001). RCS analysis showed a nonlinear relationship: within the 130-138 mmol/L sodium range, MACE risk gradually increased with higher sodium levels (HR 1.39, 95% CI 1.09-1.76, P = 0.008); whereas within the 138-147 mmol/L range, the risk gradually decreased (HR 0.88, 95% CI 0.80-0.98, P = 0.014). Baseline serum sodium concentrations are significantly associated with long-term cardiovascular risk in newly diagnosed CHD patients, showing an inverted U-shaped relationship, whereas low serum sodium may be specifically linked to higher risks of death and nonfatal myocardial infarction. Further research is needed to explore the impact of long-term changes in serum sodium concentrations on disease prognosis.

Indexed as

Coronary DiseaseSodiumAgedFemaleFollow-Up StudiesHeart FailureHumansMaleMiddle AgedPrognosisProportional Hazards ModelsProspective StudiesRisk FactorsSodiumCardiovascular riskCoronary heart diseaseMajor adverse cardiovascular eventsPrognostic biomarkersSerum sodium

Identifiers

PMID39103544
PMCPMC11300647

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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.