首页|Circulating biomarker-and magnetic resonance-based nomogram predicting long-term outcomes in dilated cardiomyopathy

Circulating biomarker-and magnetic resonance-based nomogram predicting long-term outcomes in dilated cardiomyopathy

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
Background:Dilated cardiomyopathy(DCM)has a high mortality rate and is the most common indication for heart transplantation.Our study sought to develop a multiparametric nomogram to assess individualized all-cause mortality or heart transplantation(ACM/HTx)risk in DCM patients.Methods:The present study is a retrospective cohort study.The demographic,clinical,blood test,and cardiac magnetic resonance imaging(CMRI)data of DCM patients in the tertiary center(Fuwai Hospital)were collected.The primary endpoint was ACM/HTx.The least absolute shrinkage and selection operator(LASSO)Cox regression model was applied for variable selection.Multivariable Cox regression was used to develop a nomogram.The concordance index(C-index),area under the receiver operating characteristic curve(AUC),calibration curve,and decision curve analysis(DCA)were used to evaluate the performance of the nomogram.Results:A total of 218 patients were included in the present study.They were randomly divided into a training cohort and a validation cohort.The nomogram was established based on eight variables,including mid-wall late gadolinium enhancement,systolic blood pressure,diastolic blood pressure,left ventricular ejection fraction,left ventricular end-diastolic diameter,left ventricular end-diastolic volume index,free triiodothyronine,and N-terminal pro-B type natriuretic peptide.The AUCs regarding 1-year,3-year,and 5-year ACM/HTx events were 0.859,0.831,and 0.840 in the training cohort and 0.770,0.789,and 0.819 in the validation cohort,respectively.The calibration curve and DCA showed good accuracy and clinical utility of the nomogram.Conclusions:We established and validated a circulating biomarker-and CMRI-based nomogram that could provide a personalized prediction of ACM/HTx for DCM patients,which might help risk stratification and decision-making in clinical practice.

Cardiomyopathy,dilatedHeart transplantationMortalityNomogramsLeast absolute shrinkage and selection op-eratorDecision curve analysis

Yupeng Liu、Wenyao Wang、Jingjing Song、Jiancheng Wang、Yi Fu、Yida Tang

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Department of Cardiology,Guangdong Provincial People's Hospital(Guangdong Academy of Medical Sciences),Southern Medical University,Guangzhou 510080,China

Guangdong Cardiovascular Institute,Guangdong Provincial People's Hospital,Guangdong Academy of Medical Sciences,Guangzhou 510080,China

Department of Cardiology,Institute of Vascular Medicine,Peking University Third Hospital,Beijing 100191,China

Key Laboratory of Molecular Cardiovascular Science,Ministry of Education,Beijing 100191,China

Department of Cardiology,State Key Laboratory of Cardiovascular Disease,Fuwai Hospital,National Center for Cardiovascular Diseases,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100037,China

Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems,State Key Laboratory of Natural and Biomimetic Drugs,School of Pharmaceutical Sciences,Peking University,Beijing 100083,China

Department of Physiology and Pathophysiology,School of Basic Medical Sciences,Peking University Health Science Center,Beijing 100083,China

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Medical Scientific Research Foundation of Guangdong ProvinceNational Key R&D Program of ChinaResearch Unit of Medical Science Research Management/Basic and Clinical Research of Metabolic Cardiovascular Diseases from tNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaBeijing Nova Program from the Beijing Municipal Science & Technology CommissionScience and Technology Project of Xicheng District Finance

B20230122020YFC20047052021RU00381825003919571238180032781900272Z201100006820002XCSTS-SD2021-01

2024

10.1097/CM9.0000000000002688

中华医学杂志(英文版)
中华医学会

中华医学杂志(英文版)

CSTPCD
影响因子：0.838
ISSN：0366-6999
年,卷(期)：2024.137(1)
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