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

Author:

Gangwani Manesh Kumar1ORCID,Aziz Muhammad2,Nawras Ali2,Priyanka Fnu3,Ahmed Zohaib1,Khan Raja Samir4,Qamar Mohammad Aadil5ORCID,Haroon Fawad6,Aziz Abeer7,Smith Wade Lee8,Kirshan Ravi Shri Jai9,Parikh Vishal10,Alyousif Zakaria1,Mahmood Asif1,Tariq Raseen11,Rai Devesh10ORCID,Aronow Wilbert S12

Affiliation:

1. Department of Medicine, University of Toledo Medical Center, Toledo, OH 43614, USA

2. Department of Gastroenetrology, University of Toledo Medical Center, Toledo, OH 43614, USA

3. Department of Medicine, Chandka Medical College, Larkana, Pakistan

4. Department of Gastroenetrology, Baylor College of Medicine, Houston, TX 77030, USA

5. Division of Surgery, Ziauddin Medical College, Karachi, Pakistan

6. Department of Internal Medicine, Mercy Hospital St. Louis, MO 63141, USA

7. Department of Medicine, Aga Khan University, USA

8. Department of Toledo Libraries, University of Toledo, Toledo, OH 43614, USA

9. Department of Gastroenterology, Guthrie Robert Packer Hospital,Sayre, PA 18840, USA

10. Department of Cardiology, Sands Constellation Heart Institute, Rochester Regional Health, Rochester, NY 14621, USA

11. Department of Gastroenterology, Mayo Clinic, Rochester, MN 55902, USA

12. Department of Cardiology, Westchester Medical Center, Valhalla, NY 10595, USA

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.

Publisher

Future Medicine Ltd

Subject

Cardiology and Cardiovascular Medicine,Molecular Medicine

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