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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Cardiol. May 26, 2026; 18(5): 119863
Published online May 26, 2026. doi: 10.4330/wjc.v18.i5.119863
Systematic review and meta-analysis of prognostic markers in transthyretin amyloid cardiomyopathy
Tarun Dalia, Varun Kohli, Amandeep Goyal, Siva Naga S Yarrarapu, Harsimar Singh, Joseph Mancuso, Anureet Malhotra, Jennifer Schram, Pankaj Bansal, Zubair Shah
Tarun Dalia, Joseph Mancuso, Zubair Shah, Department of Cardiovascular Medicine, University of Kansas Medical Center, Kansas, KS 66160, United States
Varun Kohli, Department of Cardiovascular Medicine, University of Nevada, Reno and Carson Tahoe Medical Group, Reno, NV 89557, United States
Amandeep Goyal, Department of Cardiovascular Medicine, Saint Luke’s Mid America Heart Institute, Kansas, MO 45750, United States
Siva Naga S Yarrarapu, Department of Geriatric Medicine, University of Texas Health Science Center, San Antonio, TX 78249, United States
Harsimar Singh, Family Medicine, Ochsner Central Clinic, Baton Rouge, LA 70818, United States
Anureet Malhotra, Department of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, NE 68198, United States
Jennifer Schram, Mayo Clinic Libraries, Mayo Clinic Health System, Eau Claire, WI 54702, United States
Pankaj Bansal, Department of Rheumatology, Mayo Clinic College of Medicine, Eau Claire, WI 54702, United States
Pankaj Bansal, Department of Rheumatology, Orlando Arthritis and Rheumatology Clinic, Orlando, FL 32819, United States
Author contributions: Dalia T, Goyal A, Bansal P, and Shah Z contributed to the conceptualization, study design, literature screening, and data synthesis; Kohli V, Malhotra A, Mancuso J, and Yarrarapu SNS participated in data extraction; Yarrarapu SNS and Kohli V contributed to risk of bias assessment; Dalia T, and Singh H, created tables and drafted the manuscript; Shah Z and Bansal P, reviewed and edited the manuscript; Goyal A and Dalia T contributed to reference management; Schram J contributed to project administration; Kohli V and Bansal P contributed to statistical analysis; Shah Z and Dalia T contributed to overall supervision; and all authors have read and approved the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Corresponding author: Zubair Shah, MD, Assistant Professor, Department of Cardiovascular Medicine, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas, KS 66160, United States. zshah2@kumc.edu
Received: February 9, 2026
Revised: March 20, 2026
Accepted: April 16, 2026
Published online: May 26, 2026
Processing time: 100 Days and 17.4 Hours
Abstract
BACKGROUND

Transthyretin amyloid cardiomyopathy (ATTR-CM) is a rare and fatal cardiomyopathy resulting from myocardial deposition of misfolded transthyretin protein. The literature on review of prognostic tools in this patient population is limited.

AIM

To determine which parameters are commonly used in prognostication of ATTR-CM.

METHODS

We conducted a systematic review of studies assessing prognostic role in ATTR-CM amyloidosis. Studies published from inception till December 2022 were included in this review. The databases searched were PubMed, EMBASE, Scopus and ACP Journal Club, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Cochrane Methodology Register Database, Database of Abstracts of Reviews of Effects, Health Technology Assessment Database, National Health Service Economic Evaluation Database.

RESULTS

Of 7272 studies initially identified, 42 studies comprising 13145 transthyretin amyloid (ATTR) patients were included. The median mortality of patients with ATTR was 33.6%. Majority of studies assessed biomarkers [Troponin, B type Natriuretic peptide (BNP), NTpro-BNP, glomerular filtration rate (eGFR)], echocardiographic findings [interventricular septal diameter (IVSd), posterior wall thickness, left ventricle ejection fraction (LVEF)], New York heart association (NYHA) class, Gillmore staging in predicting mortality, they were included in meta-analysis. In meta-analysis, higher Gillmore staging, BNP, N Terminal pro-B Type Natriuretic peptide (NT-proBNP), troponin-T, IVSd, and NYHA were associated with higher risk of mortality. On other hand, higher eGFR, was associated with lower risk of mortality.

CONCLUSION

Most commonly used parameters for prognostication of ATTR-CM studies included Gillmore staging, eGFR, Trop-T, NT pro-BNP and LVEF. Prognostication of ATTR-CM patients can help predict disease severity, survival outcomes and subsequently timely initiation of appropriate treatment strategies.

Keywords: Transthyretin amyloid cardiomyopathy; Prognosis; Gillmore staging; Biomarkers; Echocardiogram; Glomerular filtration rate

Core Tip: We conducted systematic review and meta-analysis assessing prognostic tools in transthyretin amyloid cardiomyopathy (ATTR-CM) amyloidosis. Out of 7272 studies identified, 42 studies (13145 patients) were included. Prognostic factors associated with higher odds of mortality in transthyretin cardiomyopathy included: higher Gillmore staging, B type Natriuretic peptide, NT pro-BNP, troponin-T, interventricular septal thickness, New York heart association class. Prognostication of ATTR-CM patients can significantly aid in predicting disease severity and guide timely initiation of appropriate treatment strategies.

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