Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Hinske, LC; Hoechter, DJ; Schröeer, E; Kneidinger, N; Schramm, R; Preissler, G; Tomasi, R; Sisic, A; Frey, L; von Dossow, V; Scheiermann, P.
Predicting the Necessity for Extracorporeal Circulation During Lung Transplantation: A Feasibility Study
J CARDIOTHOR VASC AN. 2017; 31(3): 931-938.
Doi: 10.1053/j.jvca.2017.02.005
Web of Science
PubMed
FullText
FullText_MUG
- Co-Autor*innen der Med Uni Graz
- Kneidinger Nikolaus
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Scite (citation analytics):
- Abstract:
- Objective: The factors leading to the implementation of unplanned extracorporeal circulation during lung transplantation are poorly defined. Consequently, the authors aimed to identify patients at risk for unplanned extracorporeal circulation during lung transplantation. Design: Retrospective data analysis. Setting: Single-center university hospital. Participants: A development data set of 170 consecutive patients and an independent validation cohort of 52 patients undergoing lung transplantation. Interventions: The authors investigated a cohort of 170 consecutive patients undergoing single or sequential bilateral lung transplantation without a priori indication for extracorporeal circulation and evaluated the predictive capability of distinct preoperative and intraoperative variables by using automated model building techniques at three clinically relevant time points (preoperatively, after endotracheal intubation, and after establishing single-lung ventilation). Measurements and Main Results: Preoperative mean pulmonary arterial pressure was the strongest predictor for unplanned extracorporeal circulation. A logistic regression model based on preoperative mean pulmonary arterial pressure and lung allocation score achieved an area under the receiver operating characteristic curve of 0.85. Consequently, the authors developed a novel 3-point scoring system based on preoperative mean pulmonary arterial pressure and lung allocation score, which identified patients at risk for unplanned extracorporeal circulation and validated this score in an independent cohort of 52 patients undergoing lung transplantation. Conclusions: The authors showed that patients at risk for unplanned extracorporeal circulation during lung transplantation could be identified by their novel 3-point score. (C) 2017 Elsevier Inc. All rights reserved.
- Find related publications in this database (Keywords)
- lung transplantation
- extracorporeal circulation
- mathematical modeling
- prediction model
- automated model building techniques