Post hoc analyses of clinical trials have shown superior outcomes for a transfemoral (TF) compared with a transapical (TA) approach for transcatheter aortic valve implantation (TAVI). There are few contemporary data on utilization and outcomes of TF versus TA TAVI in real-world patient populations. Using the National Inpatient Sample 2011 to 2014, we identified TF-TAVI and TA-TAVI procedures using ICD-9 procedure codes 35.05 and 35.06, respectively. A propensity-matched cohort of TF and TA TAVI procedures balanced on 23 baseline characteristics was assembled. Outcomes included in-hospital mortality, acute kidney injury (AKI), AKI requiring dialysis (AKI-D) and postoperative stroke. A total of 7,973 TAVI procedures representative of 39,745 procedures nationally were included in the study. Of these, 80.2% were performed using a TF approach while 19.8% used a TA approach. Patients in the TF-TAVI group were older (mean age 81.7 vs 80.4 years, p < 0.001), with a higher prevalence of heart failure (12.7% vs 7.6%, p < 0.001) and lower prevalence of peripheral vascular disease (28.0% vs 35.5%, p < 0.001) compared with the TA-TAVI group. In 1,576 propensity-matched pairs of TF-TAVI and TA-TAVI procedures, TF-TAVI was associated with significantly lower in-hospital mortality (odds ratio [OR] 0.61, 95% confidence interval [CI] 0.42 to 0.88, p = 0.01), lower rates of AKI (0.53, 95% CI 0.44 to 0.63, p < 0.001), similar rates of AKI-D (OR 0.77, 95% CI 0.44 to 1.38, p = 0.38) and postoperative stroke (OR 1.19, 95% CI 0.67 to 2.10, p = 0.56) compared with TA-TAVI. In conclusion, TF-TAVI is associated with lower rates of in-hospital mortality and AKI compared with TA-TAVI. A TF approach should be preferred over a TA approach for TAVI whenever possible.
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http://dx.doi.org/10.1016/j.amjcard.2018.07.025 | DOI Listing |
Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
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J Med Internet Res
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Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
JMIR Aging
January 2025
Department of Geriatrics, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, No. 106, Zhongshan 2nd Road, Yuexiu District, Guangzhou, China, 0898-66571684.
Background: The utility of aging metrics that incorporate cognitive and physical function is not fully understood.
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Methods: We used longitudinal data from waves 10-15 of the Health and Retirement Study.
Neurology
February 2025
Department of Medicine and Geriatrics, Tuen Mun Hospital, Hong Kong, People's Republic of China.
Background And Objectives: Mitochondrial disorders are multiorgan disorders resulting in significant morbidity and mortality. We aimed to characterize death-associated factors in an international cohort of deceased individuals with mitochondrial disorders.
Methods: This cross-sectional multicenter observational study used data provided by 26 mitochondrial disease centers from 8 countries from January 2022 to March 2023.
Am J Public Health
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Teeraboon Lertwanichwattana and Ram Rangsin are with Phramongkutklao College of Medicine, Bangkok, Thailand. Supattra Srivanichakorn, Sairat Noknoy, and Sirinapa Siriporn Na Ratchaseema are with the Royal College of Family Physicians of Thailand, Bangkok. Nittaya Phanuphak is with the Institute of HIV Research and Innovation, Bangkok. Kitti Wongthavarawat is with the National Science and Technology Development Agency, Bangkok. Arunotai Siriussawakul, Varalak Srinonprasert, and Pattara Leelahavarong are with the Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok. Parawee Chevaisrakul and Putthapoom Lumjiaktase are with the Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok. Aree Kumpitak is with the Thai Network of People Living With HIV, Bangkok. Nopphan Phromsri is with the Human Settlement Foundation, Bangkok. Yupadee Sirisinsuk is with the Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok. Pongtorn Kietdumrongwong is with the Bangkok Dusit Medical Services, Bangkok. Apinun Aramrattana is with the Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
To determine the overall mortality and risk factors of COVID-19 patients who were admitted to the Home Isolation (HI) program in Bangkok, Thailand, during the epidemic crisis in 2021. We conducted a retrospective cohort study using the data from a government telehealth application from July to December 2021. The vital status was verified from the government database on September 20, 2022.
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