Comparing Frailty Markers in Predicting Poor Outcomes after Transcatheter Aortic Valve Replacement.


Journal

Innovations (Philadelphia, Pa.)
ISSN: 1559-0879
Titre abrégé: Innovations (Phila)
Pays: United States
ID NLM: 101257528

Informations de publication

Date de publication:
Feb 2019
Historique:
entrez: 9 3 2019
pubmed: 9 3 2019
medline: 2 7 2019
Statut: ppublish

Résumé

Frailty is an important component of risk prognostication in transcatheter aortic valve replacement (TAVR). Objective markers of frailty, including sarcopenia, the modified Frailty Index (mFI), and albumin levels, have emerged, but little is known how such markers compare to each other in predicting outcomes after TAVR. We sought to define and compare these markers in predicting long-term outcomes after TAVR. Patients who underwent TAVR at our institution from 2011 to 2016 were included. Indexed cross-sectional areas of the lumbosacral muscles on preoperative computed tomography scans were used to assess sarcopenia. Optimal cutoffs for sarcopenia were defined using a statistically validated method. mFI was calculated using an 11-point scale of clinical characteristics. The primary outcome was 2-year all-cause mortality. Adjusted survival analysis was used to analyze outcomes. A total of 381 patients were included in this study. Sarcopenia of the psoas muscles was associated with an increased risk of mortality on univariate (HR: 2.3, P = 0.01) and multivariate (HR: 2.5, P = 0.01) analysis. Sarcopenia of the paravertebral muscles was associated with increased risk of mortality only on univariate analysis (HR: 2.1, P = 0.03). Increased preoperative albumin levels were associated with decreased risk of mortality on univariate (HR: 0.3, P < 0.01) and multivariate analysis (HR: 0.3, P < 0.01). The (mFI) was not associated with mortality on univariate or multivariate analysis. Novel cutoffs for sarcopenia of the psoas muscles were determined and associated with decreased survival after TAVR. Sarcopenia and albumin levels may be better tools for risk prediction than mFI in TAVR.

Identifiants

pubmed: 30848712
doi: 10.1177/1556984519827698
doi:

Substances chimiques

Albumins 0
Biomarkers 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-54

Auteurs

Aravind Krishnan (A)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Alejandro Suarez-Pierre (A)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Xun Zhou (X)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Cheng T Lin (CT)

2 Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Charles D Fraser (CD)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Todd C Crawford (TC)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Joshua Hsu (J)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Rani K Hasan (RK)

3 Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Jon Resar (J)

3 Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Matthews Chacko (M)

3 Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

William A Baumgartner (WA)

1 Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

John V Conte (JV)

4 Division of Cardiac Surgery, Department of Surgery, Penn State College of Medicine, Hershey, PA, USA.

Kaushik Mandal (K)

4 Division of Cardiac Surgery, Department of Surgery, Penn State College of Medicine, Hershey, PA, USA.

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