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Makale detayı · 2025 · article

The Influence of Preoperative Right Ventricle to Pulmonary Arterial Coupling on Short- and Long-Term Prognosis in Patients Who Underwent Transcatheter Aortic Valve Implantation

Dergi Angiology
ISSN0003-3197
YÖKSİS OpenAlex Açık erişim · green
Yıl2025
Atıf7OpenAlex
Atıf7Semantic Scholar · 1 etkili
Yüzdelik%86,8
FWCI1,931,00 = dünya ortalaması
Scopus (SJR)Q2
WoS (JCR)Q2

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıAngiology
  • Katalog eşleşmesi (ISSN)Angiology
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

The present study evaluated the prognostic significance of right ventricular-pulmonary arterial (RV-PA) coupling, assessed by the tricuspid annular plane systolic excursion to systolic pulmonary artery pressure (TAPSE/sPAP) ratio, in patients undergoing transcatheter aortic valve implantation (TAVI) for severe aortic stenosis (AS). This retrospective, single-center study involved 403 patients (mean age: 78.2 ± 8.4; 50.9% female). RV-PA coupling was categorized based on the pre-procedural TAPSE/sPAP ratio: severe uncoupling (≤0.32), moderate uncoupling (0.32–0.55), and normal coupling (>0.55). The study primary endpoints were in-hospital mortality and 2-year all-cause mortality. Multivariate logistic regression revealed that the TAPSE/sPAP ratio is an independent predictor of both in-hospital (adjusted OR: 0.61, 95% CI [0.44–0.84], P = .002) and 2-year mortality (adjusted OR: 0.69, 95% CI [0.56–0.85], P = .001). Severe uncoupling was strongly associated with increased 2-year mortality (adjusted OR: 3.92, 95% CI [1.67–9.20], P = .002). Our study establishes a significant association between reduced preoperative TAPSE/sPAP ratios and increased risks of both in-hospital and 2-year all-cause mortality in patients undergoing TAVI for severe AS. These results highlight the prognostic utility of evaluating RV-PA coupling. Incorporating this metric into preoperative risk stratification could potentially refine prognostic accuracy and inform clinical decision-making.

Konular

Atıflar

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Yazarlar

9
  1. AYKUN HAKGÖR İSTANBUL MEDİPOL ÜNİVERSİTESİ 1
  2. BAŞAK ÇATALBAŞ KAHRAMAN 2
  3. ATAKAN DURSUN 3
  4. ARZU YAZAR 4
  5. ÜMEYİR SAVUR İSTANBUL MEDİPOL ÜNİVERSİTESİ 5
  6. AYSEL AKHUNDOVA 6
  7. FATİH ERKAM OLGUN 7
  8. MELİKE ZEYNEP DURSUN 8
  9. BİLAL BOZTOSUN 9