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Heart. 2023;109(4):305-313.

Long-term outcomes in distinct phenogroups of patients with primary mitral regurgitation undergoing valve surgery.

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제1저자 곽순구, 이승아 · 교신저자 김대희,이승표

소속 (7)
  1. Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of).
  2. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (the Republic of).
  3. Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (the Republic of).
  4. Department of Cardiology, Cardiovascular Center, Seoul National University Bundang Hospital, Seongnam, Gyeonggi, Korea (the Republic of).
  5. Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, Korea (the Republic of).
  6. Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (the Republic of) sproll1@snu.ac.kr daehee74@amc.seoul.kr.
  7. Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea (the Republic of) sproll1@snu.ac.kr daehee74@amc.seoul.kr.

Abstract

OBJECTIVES Patients with mitral regurgitation (MR) may be heterogeneous with different risk profiles. We aimed to identify distinct phenogroups of patients with severe primary MR and investigate their long-term prognosis after mitral valve (MV) surgery.

METHODS The retrospective cohort of patients with severe primary MR undergoing MV surgery (derivation, n=1629; validation, n=692) was analysed. Latent class analysis was used to classify patients into subgroups using 15 variables. The primary outcome was all-cause mortality after MV surgery.

RESULTS During follow-up (median 6.0 years), 149 patients (9.1%) died in the derivation cohort. In the univariable Cox analysis, age, female, atrial fibrillation, left ventricular (LV) end-systolic dimension/volumes, LV ejection fraction, left atrial dimension and tricuspid regurgitation peak velocity were significant predictors of mortality following MV surgery. Five distinct phenogroups were identified, three younger groups (group 1-3) and two older groups (group 4-5): group 1, least comorbidities; group 2, men with LV enlargement; group 3, predominantly women with rheumatic MR; group 4, low-risk older patients; and group 5, high-risk older patients. Cumulative survival was the lowest in group 5, followed by groups 3 and 4 (5-year survival for groups 1-5: 98.5%, 96.0%, 91.7%, 95.6% and 83.4%; p<0.001). Phenogroups had similar predictive performance compared with the Mitral Regurgitation International Database score in patients with degenerative MR (3-year C-index, 0.763 vs 0.750, p=0.602). These findings were reproduced in the validation cohort.

CONCLUSION Five phenogroups of patients with severe primary MR with different risk profiles and outcomes were identified. This phenogrouping strategy may improve risk stratification when optimising the timing and type of interventions for severe MR.

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Keywords

Mitral Valve Insufficiency

Figures

Figure 1
Figure 1 Data-driven phenogrouping of patients with severe primary MR undergoing MV surgery. Patients with severe primary MR undergoing MV surgery from three tertiary university hospitals were analysed (n=2321; derivation cohort, n=1629 and validation cohort, n=692). The latent variable (c) is estimated based on the 15 observed variables (y) of demographics, laboratory, surgical and echocardiographic factors by the expectation–maximisation algorithm, whose nominal categories are defined as latent classes (=groups). Five distinct groups were identified by LCA from the derivation cohort: group 1, least comorbidities (n=517); group 2, men with LV enlargement (n=249); group 3, predominantly women and rheumatic MR (n=171); group 4, low-risk older patients (n=461); and group 5, high-risk older patients (n=231). The prevalence of eight major risk factors in each phenogroup is depicted as a radar plot. The lines of the innermost octagon indicate zero prevalence. The phenogrouping may be used to guide clinicians to improve risk stratification and to provide a more tailored treatment strategy, as a step towards precision medicine in valvular heart disease. AF, atrial fibrillation; CKD, chronic kidney disease; LA, left atrium; LCA, latent class analysis; LV, left ventricular; LVEF, left ventricular ejection fraction; LVESD, left ventricular end-systolic diameter; MR, mitral regurgitation; MV, mitral valve; MVR, mitral valve replacement.
Figure 2
Figure 2 Cumulative survival after MV surgery according to phenogroups by LCA. Kaplan-Meier survival curves of all-cause mortality by the phenogroups in the derivation cohort (left panel) and the validation cohort (right panel). Kaplan-Meier curves were plotted for the (A) entire patients (groups 1–5) and further stratified by (B) younger patients (groups 1–3) and (C) older patients (groups 4–5). LCA, latent class analysis; MV, mitral valve.

그림 출처: PubMed Central 공개 논문 (PMC9887360)

Comment · 정정

Conflict of interest statement

Competing interests: The authors declare that there is no conflict of interest to disclose.

그 밖의 정보
출판 형태
Journal Article, Research Support, Non-U.S. Gov't
저널
Heart (British Cardiac Society) · eISSN 1468-201X
전자 출판
2023-01-27
MeSH
Male · Humans · Female · Mitral Valve Insufficiency* / diagnostic imaging / surgery / etiology · Mitral Valve / diagnostic imaging / surgery · Retrospective Studies · Ventricular Function, Left · Stroke Volume · Treatment Outcome
참고문헌
30편