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An Analysis of the Predictors of Major Bleeding After Transcatheter Aortic Valve Transplantation Using the National Inpatient Sample (2015-2018).
Khan, Henna; Gilani, Asma; Qayum, Ihtisham; Khattak, Taif; Haq, Furqan; Zahid Anwar, Muhammad; Khan, Muhammad Atif; Asjad, Sayyed Jalawan; Abbas, Sakina; Inayat, Arslan.
Afiliação
  • Khan H; Medicine, Khyber Girls Medical College, Peshawar, PAK.
  • Gilani A; Medicine, Khyber Girls Medical College, Peshawar, PAK.
  • Qayum I; Internal Medicine, Khyber Teaching Hospital Peshawar, Peshawar, PAK.
  • Khattak T; Emergency Medicine, Hamad General Hospital, Doha, QAT.
  • Haq F; Medicine, Khyber Medical College, Peshawar, PAK.
  • Zahid Anwar M; Medicine, Khyber Medical College, Peshawar, PAK.
  • Khan MA; Internal Medicine, Texas Tech University Health Sciences Center, Amarillo, USA.
  • Asjad SJ; Internal Medicine, Royal Preston Hospital, Fulwood, GBR.
  • Abbas S; Medicine, Dow University of Health Sciences, Karachi, PAK.
  • Inayat A; Internal Medicine, University at Buffalo, Catholic Health System, Buffalo, USA.
Cureus ; 13(6): e16022, 2021 Jun.
Article em En | MEDLINE | ID: mdl-34336511
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article