Predictors of gastrointestinal bleeding in patients following left ventricular assist device implantation: a systematic review and meta-analysis

Manesh Kumar Gangwani, Department of Medicine, University of Toledo Medical Center, Toledo, OH 43614, USA.
Muhammad Aziz, Department of Gastroenetrology, University of Toledo Medical Center, Toledo, OH 43614, USA.
Ali Nawras, Department of Gastroenetrology, University of Toledo Medical Center, Toledo, OH 43614, USA.
Fnu Priyanka, Department of Medicine, Chandka Medical College, Larkana, Pakistan.
Zohaib Ahmed, Department of Medicine, University of Toledo Medical Center, Toledo, OH 43614, USA.
Raja Samir Khan, Department of Gastroenetrology, Baylor College of Medicine, Houston, TX 77030, USA.
Mohammad Aadil Qamar, Division of Surgery, Ziauddin Medical College, Karachi, Pakistan.
Fawad Haroon, Department of Internal Medicine, Mercy Hospital St. Louis, MO 63141, USA.
Abeer Aziz, Department of Medicine, Aga Khan University, USA.
Wade Lee Smith, Department of Toledo Libraries, University of Toledo, Toledo, OH 43614, USA.
Shri Jai Kirshan Ravi, Department of Gastroenterology, Guthrie Robert Packer Hospital,Sayre, PA 18840, USA.
Vishal Parikh, Rochester Regional HealthFollow
Zakaria Alyousif, Department of Medicine, University of Toledo Medical Center, Toledo, OH 43614, USA.
Asif Mahmood, Department of Medicine, University of Toledo Medical Center, Toledo, OH 43614, USA.
Raseen Tariq, Department of Gastroenterology, Mayo Clinic, Rochester, MN 55902, USA.
Devesh Rai, Rochester Regional HealthFollow
Wilbert S. Aronow, Department of Cardiology, Westchester Medical Center, Valhalla, NY 10595, USA.

Department

Cardiology

Document Type

Article

Publication Title

Future Cardiology

Abstract

Aim: Our study aims to provide a more holistic understanding of the available data and predictive risk factors for gastrointestinal bleed (GIB).

Materials & Methods: We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials and Web of Science Core Collection and calculated relative risk and meta-regression was utilized to evaluate for risk factors in order to assess the effect of covariates.

Results: Our meta-analysis reported a pooled prevalence rate of GIB of 24.4%. Meta-regression analysis did not yield a statistically significant association between GIB and risk factors, including age, gender, hypertension, chronic kidney disease and diabetes.

Conclusion: Studies investigating larger sample sizes are required for conclusive findings.

First Page

957

Last Page

967

DOI

10.2217/fca-2022-0054

Volume

18

Issue

12

Publication Date

12-1-2022

Medical Subject Headings

Humans; Heart-Assist Devices (adverse effects); Heart Failure (epidemiology, therapy, etiology); Gastrointestinal Hemorrhage (epidemiology, etiology); Risk Factors; Retrospective Studies

PubMed ID

36334072

Link to Full Text

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