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Carbon Monoxide Diffusing Capacity Predicts Cardiac Readmission in Patients Undergoing Left Ventricular Assist Device Implantation in Japan

Authors :
Minoru Ono
Masahiko Ando
Shun Minatsuki
Junichi Ishida
Mitsutoshi Kimura
Chie Bujo
Masaki Tsuji
Hisataka Maki
Masaru Hatano
Yukie Kagami
Eisuke Amiya
Yumiko Hosoya
Akihito Saito
Issei Komuro
Hiroko Imai
Shogo Shimada
Miyoko Endo
Mariko Nemoto
Toru Hara
Osamu Kinoshita
Source :
ASAIO Journal.
Publication Year :
2021
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2021.

Abstract

Carbon monoxide diffusion capacity (DLCO) is impaired in heart failure patients; however, its clinical impact has not been well investigated in the left ventricular assist device (LVAD) population. We explored the predictive value of preoperative DLCO in the survival and cardiac readmission rates after LVAD implantation. Seventy-six patients who received continuous-flow LVAD as bridge-to-transplant therapy from November 2007 to September 2018 and underwent pulmonary function test before LVAD implantation were included. The primary study endpoints were death and readmission for heart failure or arrhythmia (cardiac readmission). Patients were stratified into two groups according to the percent of predicted DLCO (%DLCO). Pulmonary vascular resistance (PVR) was equivocal between the groups preoperatively, whereas the low DLCO group (%DLCO < 80%) showed significantly high PVR postoperatively. The mortality rate was not different between the groups. The 2 year cardiac readmission rate was 33.5% in the low DLCO group and 8.7% in the high DLCO group (%DLCO ≥ 80%) (P = 0.028). The %DLCO was associated with cardiac readmission in univariate and multivariate analyses (hazard ratio: 4.32; 95% CI: 1.50-15.9; P = 0.005). Low %DLCO was associated with high PVR postoperatively and was a risk factor for cardiac readmission after LVAD implantation.

Details

ISSN :
10582916
Database :
OpenAIRE
Journal :
ASAIO Journal
Accession number :
edsair.doi.dedup.....b3717e52c76a59b5bb72c5404d7e2efc
Full Text :
https://doi.org/10.1097/mat.0000000000001363