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Izzy M, Fortune BE, Serper M, Bhave N, deLemos A, Gallegos-Orozco JF, Guerrero-Miranda C, Hall S, Harinstein ME, Karas MG, Kriss M, Lim N, Palardy M, Sawinski D, Schonfeld E, Seetharam A, Sharma P, Tallaj J, Dadhania DM, VanWagner LB. Management of cardiac diseases in liver transplant recipients: Comprehensive review and multidisciplinary practice-based recommendations. Am J Transplant 2022; 22:2740-2758. [PMID: 35359027 PMCID: PMC9522925 DOI: 10.1111/ajt.17049] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/10/2022] [Accepted: 03/27/2022] [Indexed: 01/25/2023]
Abstract
Cardiac diseases are one of the most common causes of morbidity and mortality following liver transplantation (LT). Prior studies have shown that cardiac diseases affect close to one-third of liver transplant recipients (LTRs) long term and that their incidence has been on the rise. This rise is expected to continue as more patients with advanced age and/or non-alcoholic steatohepatitis undergo LT. In view of the increasing disease burden, a multidisciplinary initiative was developed to critically review the existing literature (between January 1, 1990 and March 17, 2021) surrounding epidemiology, risk assessment, and risk mitigation of coronary heart disease, arrhythmia, heart failure, and valvular heart disease and formulate practice-based recommendations accordingly. In this review, the expert panel emphasizes the importance of optimizing management of metabolic syndrome and its components in LTRs and highlights the cardioprotective potential for the newer diabetes medications (e.g., sodium glucose transporter-2 inhibitors) in this high-risk population. Tailoring the multidisciplinary management of cardiac diseases in LTRs to the cardiometabolic risk profile of the individual patient is critical. The review also outlines numerous knowledge gaps to pave the road for future research in this sphere with the ultimate goal of improving clinical outcomes.
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Affiliation(s)
- Manhal Izzy
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, Vanderbilt University, Nashville, TN, USA
| | - Brett E Fortune
- Department of Medicine, Division of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, NY, USA
| | - Marina Serper
- Department of Medicine, Division of Gastroenterology, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicole Bhave
- Department of Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Andrew deLemos
- Department of Medicine, Division of Hepatology, Atrium Health, Charlotte, NC, USA
| | - Juan F. Gallegos-Orozco
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Utah School, Salt Lake City, UT, USA
| | - Cesar Guerrero-Miranda
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Dallas, TX, USA
| | - Shelley Hall
- Center for Advanced Heart and Lung Disease, Baylor University Medical Center, Dallas, TX, USA
| | - Matthew E Harinstein
- Department of Medicine, Division of Cardiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Maria G. Karas
- Department of Medicine, Division of Cardiology, Weill Cornell Medical College, New York, NY, USA
| | - Michael Kriss
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Colorado, Aurora, CO, USA
| | - Nicholas Lim
- Department of Medicine, Division of Gastroenterology, Hepatology, and Nutrition, University of Minnesota, Minneapolis, MN, USA
| | - Maryse Palardy
- Department of Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Deirdre Sawinski
- Department of Medicine, Division of Nephrology and Hypertension, Weill Cornell Medical College, New York, NY, USA
| | - Emily Schonfeld
- Department of Medicine, Division of Gastroenterology and Hepatology, Weill Cornell Medical College, New York, NY, USA
| | - Anil Seetharam
- Department of Medicine, Division of Gastroenterology and Hepatology, Banner - University Medical Center Phoenix, Phoenix, AZ, USA
| | - Pratima Sharma
- Department of Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, MI, USA
| | - Jose Tallaj
- Department of Medicine, Division of Cardiovascular Disease, University of Alabama, Birmingham, AL, USA
| | - Darshana M Dadhania
- Department of Medicine, Division of Nephrology and Hypertension, Weill Cornell Medical College, New York, NY, USA
| | - Lisa B. VanWagner
- Department of Medicine, Division of Gastroenterology & Hepatology, and Department of Preventive Medicine, Division of Epidemiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Khan H, Gilani A, Qayum I, Khattak T, Haq F, Zahid Anwar M, Khan MA, Asjad SJ, Abbas S, Inayat A. An Analysis of the Predictors of Major Bleeding After Transcatheter Aortic Valve Transplantation Using the National Inpatient Sample (2015-2018). Cureus 2021; 13:e16022. [PMID: 34336511 PMCID: PMC8319189 DOI: 10.7759/cureus.16022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 12/13/2022] Open
Abstract
Background Transcatheter aortic valve replacement (TAVR) is now a common procedure to treat and improve quality of life, clinical outcomes, and self-sufficiency in high-risk patients with aortic stenosis, and its use has been expanding rapidly in younger and low-risk populations. The aim of this study was to evaluate the outcomes, trends, and predictors of major bleeding in patients undergoing TAVR. Methodology We utilized the National Inpatient Sample (NIS) data from the year 2015 to 2018. International Classification of Disease 10 codes were utilized to extract data. Baseline characteristics were compared using Pearson's chi-square test for categorical variables and independent samples t-test for continuous variables. A multivariable logistic regression model was used to evaluate the predictors of major bleeding. Propensity matching was done for adjusted analysis to compare outcomes in TAVR with and without major bleeding. The outcomes of interest in this study were (1) predictors of major bleeding after TAVR; (2) in-hospital mortality; and (3) resource utilization in terms of cost and length of stay. Results A total of 34,752 weighted hospitalizations for TAVR were included in the analysis. Of the patients undergoing the procedure, 2,294 (6.6%) had a major bleed while 32,458 (93.3%) did not. At baseline, patients with coagulopathy (odds ratio [OR]: 2.03; 95% confidence interval [CI]: 1.82-2.27), congestive heart failure (OR: 1.26; 95% CI: 1.13-1.40), chronic obstructive pulmonary disease (OR: 1.41; 95% CI: 1.29-1.55), liver disease (OR: 1.96; 95% CI: 1.61-2.39), peripheral vascular disease (OR: 1.29; 95% CI: 1.17-1.43), cerebrovascular disease (OR: 1.22; 95% CI: 1.07-1.38), end-stage renal disease (ESRD) (OR: 2.17; 95% CI: 1.82-2.59), and coronary artery disease (OR: 1.17; 95% Cl: 1.06-1.30) had higher adjusted rates of odds of major bleeding. Patients who had major bleeding had a higher median cost of stay (US$60,326 vs. US$45490) and length of stay (seven vs. three days). Conclusions Mortality is higher in patients with major bleeding, and at baseline, coagulopathy and ESRD are significant predictors of a major bleed in patients undergoing TAVR.
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Affiliation(s)
- Henna Khan
- Medicine, Khyber Girls Medical College, Peshawar, PAK
| | - Asma Gilani
- Medicine, Khyber Girls Medical College, Peshawar, PAK
| | - Ihtisham Qayum
- Internal Medicine, Khyber Teaching Hospital Peshawar, Peshawar, PAK
| | - Taif Khattak
- Emergency Medicine, Hamad General Hospital, Doha, QAT
| | - Furqan Haq
- Medicine, Khyber Medical College, Peshawar, PAK
| | | | - Muhammad Atif Khan
- Internal Medicine, Texas Tech University Health Sciences Center, Amarillo, USA
| | | | - Sakina Abbas
- Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Arslan Inayat
- Internal Medicine, University at Buffalo, Catholic Health System, Buffalo, USA
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Abbas S, Qayum I, Wahid R, Salman F, Khan H, Hassan F, Babar A, Inayat A. Acute Kidney Injury in Transcatheter Aortic Valve Replacement. Cureus 2021; 13:e15154. [PMID: 34168922 PMCID: PMC8214866 DOI: 10.7759/cureus.15154] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Introduction Transcatheter aortic valve replacement (TAVR) has been established as a standard of care for patients with severe aortic stenosis. We aim to study the predictors of acute kidney injury (AKI) after TAVR from a contemporary analysis using the National Inpatient Sample (NIS) database. Methods We performed a national analysis using the NIS database to evaluate predictors of acute kidney injury (AKI) after TAVR. Our study period was from 2015 to 2018, and we identified TAVR patients in all procedure fields. Patients aged less than 18 years were excluded from the study. Results We report data of 173,760 TAVR patients, of which 20,045 (11.5%) had AKI and 153,715 (88.4%) did not. There were three principal findings of our study. First, mortality was higher in patients with AKI compared to patients who did not have AKI (8% vs. 0.8%; p<0.01). Second, patients with chronic kidney disease, weight loss, liver disease, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease, metastatic cancer, and peripheral vascular disease had higher adjusted odds of AKI. Third, length of stay and cost of stay were significantly higher in patients who had AKI during the index admission. Conclusion Patients with AKI had higher in-hospital mortality. We also report that at baseline, chronic kidney disease, weight loss, liver disease, congestive heart failure, cerebrovascular disease, chronic obstructive pulmonary disease, metastatic cancer, and peripheral vascular disease were important predictors of AKI in patients after TAVR. Length of stay and cost of stay were higher with AKI, which result in higher burden on the health care system due to increased resource utilization.
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Affiliation(s)
- Sakina Abbas
- Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Ihtisham Qayum
- Internal Medicine, Khyber Teaching Hospital, Peshawar, PAK
| | - Rabiya Wahid
- Medicine, Liaquat University of Medical and Health Sciences, Hyderabad, PAK
| | - Fnu Salman
- Medicine, St. Vincent Medical Center, Toledo, USA
| | - Henna Khan
- Internal Medicine, Khyber Girls Medical College, Peshawar, PAK
| | - Fatima Hassan
- Medicine, Fatima Jinnah Medical University, Lahore, PAK
| | - Anum Babar
- Medicine, Khyber Girls Medical College, Peshawar, PAK
| | - Arslan Inayat
- Internal Medicine, University at Buffalo, Catholic Health System, Buffalo, USA
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Inayat A, Abbas S, Salman F. Predictors of Mortality in Patients With Transcatheter Aortic Valve Implantation: A National Inpatient Sample Database Analysis. Cureus 2021; 13:e14344. [PMID: 33972902 PMCID: PMC8103979 DOI: 10.7759/cureus.14344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Introduction In recent decades, transcatheter aortic valve implantation (TAVI) has become a treatment of choice for aortic stenosis. The purpose of this study was to evaluate predictors of mortality in patients undergoing TAVI. Methods The National Inpatient Sample database from the year 2011 to 2018 was used to identify all patients undergoing TAVI during the study period. Results A total of 215,983 weighted hospitalizations for TAVI were included in the analysis. We report the following three main findings from our contemporary analysis of the NIS: (1) despite TAVI patients having a high comorbidity burden, mortality remains low at 2.2%, (2) in terms of baseline characteristics, end-stage renal disease, liver disease, congestive heart failure, chronic obstructive pulmonary disease, atrial fibrillation, and lung cancer remain significant predictors of mortality in patients undergoing TAVI, and (3) length of stay and cost of stay are significantly higher in patients who died during the hospitalization. Conclusion In conclusion, we report that at baseline, end-stage renal disease, liver disease, atrial fibrillation, and lung cancer are significant predictors of mortality in patients undergoing TAVI.
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Affiliation(s)
- Arslan Inayat
- Internal Medicine, University at Buffalo, Catholic Health System, Buffalo, USA
| | - Sakina Abbas
- Medicine, Civil Hospital Karachi, Dow University of Health Sciences, Karachi, PAK
| | - Fnu Salman
- Medicine, Mercy Health St. Vincent Medical Center, Toledo, USA
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