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Khalil S, Tabowei G, Kaur M, Dadzie SK, Kansakar S, Moqattash M, Komminni PK, Palleti SK. Effect of Pulmonary Hypertension on Survival Outcomes in Patients With Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis. Cureus 2024; 16:e58540. [PMID: 38957831 PMCID: PMC11218420 DOI: 10.7759/cureus.58540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2024] [Indexed: 07/04/2024] Open
Abstract
The aim of this meta-analysis was to determine the effect of pulmonary hypertension (PH) on survival in patients undergoing transcatheter aortic valve replacement (TAVR). The present study was conducted according to the guidelines of Preferred Reporting of Systematic Review and Meta-Analysis (PRISMA). We conducted a comprehensive search of electronic databases including PubMed/MEDLINE, Embase, Cochrane Library, and Web of Science from January 1, 2015, to March 10, 2024. Outcomes assessed in this meta-analysis included early and late all-cause mortality and cardiovascular mortality. Total 15 studies were integrated into the pooled analysis to assess the impact of PH on outcomes among patients undergoing TAVR, comprising a total sample size of 35,732 individuals. The pooled prevalence of PH stood at 52.57% (n=18,767). Predominantly, the studies were conducted in the United States (n=6), followed by Germany (n=3), with one study each from Japan, Italy, Switzerland, Brazil, Poland, and Australia. Pooled analysis showed that risk of short-term mortality was greater in patients with PH compared to patients without PH (risk ratio (RR): 1.46, 95% CI: 1.19 to 1.80). Risk of long-term mortality was greater in patients with PH (RR: 1.42, 95% CI: 1.29 to 1.55). Risk of cardiovascular mortality was also greater in patients with PH compared to patients without PH (RR: 1.66, 95% CI: 1.36 to 2.02). We advocate for further research to address gaps in understanding different types of PH and their impacts on mortality and cardiovascular outcomes.
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Affiliation(s)
| | - Godfrey Tabowei
- Internal Medicine, Texas Tech University Health Sciences Center, Odessa, USA
| | - Mandeep Kaur
- Internal Medicine, HCA Capital Hospital, Tallahassee, USA
| | - Samuel K Dadzie
- Internal Medicine, Piedmont Athens Regional Medical Center, Athens, USA
| | - Sajog Kansakar
- Internal Medicine, Maimonides Medical Center, Brooklyn, USA
| | | | | | - Sujith K Palleti
- Nephrology, Louisiana State University Health Sciences Center, Shreveport, USA
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Zeng Y, Zhakeer G, Li B, Yu Q, Niu M, Maimaitiaili N, Mi M, Deji Z, Zhuang J, Peng W. A novel clinical prediction scoring system of high-altitude pulmonary hypertension. Front Cardiovasc Med 2024; 10:1290895. [PMID: 38259305 PMCID: PMC10801263 DOI: 10.3389/fcvm.2023.1290895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Background High-altitude pulmonary hypertension (HAPH) is a common disease in regions of high altitude where performing right heart catheterization (RHC) is challenging. The development of a diagnostic scoring system is crucial for effective disease screening. Methods A total of 148 individuals were included in a retrospective analysis, and an additional 42 residents were prospectively enrolled. We conducted a multivariable analysis to identify independent predictors of HAPH. Subsequently, we devised a prediction score based on the retrospective training set to anticipate the occurrence and severity of HAPH. This scoring system was further subjected to validation in the prospective cohort, in which all participants underwent RHC. Results This scoring system, referred to as the GENTH score model (Glycated hemoglobin [OR = 4.5], Echocardiography sign [OR = 9.1], New York Heart Association-functional class [OR = 12.5], Total bilirubin [OR = 3.3], and Hematocrit [OR = 3.6]), incorporated five independent risk factors and demonstrated strong predictive accuracy. In the training set, the area under the curve (AUC) values for predicting the occurrence and severity of HAPH were 0.851 and 0.832, respectively, while in the validation set, they were 0.841 and 0.893. In the validation set, GENTH score model cutoff values of ≤18 or >18 points were established for excluding or confirming HAPH, and a threshold of >30 points indicated severe HAPH. Conclusions The GENTH score model, combining laboratory and echocardiography indicators, represents an effective tool for distinguishing potential HAPH patients and identifying those with severe HAPH. This scoring system improves the clinical screening of HAPH diseases and offers valuable insights into disease diagnosis and management.
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Affiliation(s)
- Yanxi Zeng
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Gulinigeer Zhakeer
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Bingyu Li
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qing Yu
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Mingyuan Niu
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
| | - Nuerbiyemu Maimaitiaili
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ma Mi
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
| | - Zhuoga Deji
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
| | - Jianhui Zhuang
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wenhui Peng
- Department of Cardiology, Shigatse People’s Hospital, Tibet, China
- Department of Cardiology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
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