دورية أكاديمية
Postoperative high-sensitivity troponin T predicts 1-year mortality and days alive and out of hospital after orthotopic heart transplantation
العنوان: | Postoperative high-sensitivity troponin T predicts 1-year mortality and days alive and out of hospital after orthotopic heart transplantation |
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المؤلفون: | René M’Pembele, Sebastian Roth, Anthony Nucaro, Alexandra Stroda, Theresa Tenge, Giovanna Lurati Buse, Florian Bönner, Daniel Scheiber, Christina Ballázs, Igor Tudorache, Hug Aubin, Artur Lichtenberg, Ragnar Huhn, Udo Boeken |
المصدر: | European Journal of Medical Research, Vol 28, Iss 1, Pp 1-9 (2023) |
بيانات النشر: | BMC |
سنة النشر: | 2023 |
المجموعة: | Directory of Open Access Journals: DOAJ Articles |
مصطلحات موضوعية: | Heart failure, Heart transplantation, IMPACT score, Risk prediction, Patient-centered outcomes, Medicine |
الوصف: | Background Orthotopic heart transplantation (HTX) is the gold standard to treat end-stage heart failure. Numerous risk stratification tools have been developed in the past years. However, their clinical utility is limited by their poor discriminative ability. High sensitivity troponin T (hsTnT) is the most specific biomarker to detect myocardial cell injury. However, its prognostic relevance after HTX is not fully elucidated. Thus, this study evaluated the predictive value of postoperative hsTnT for 1-year survival and days alive and out of hospital (DAOH) after HTX. Methods This retrospective cohort study included patients who underwent HTX at the University Hospital Duesseldorf, Germany between 2011 and 2021. The main exposure was hsTnT concentration at 48 h after HTX. The primary endpoints were mortality and DAOH within 1 year after surgery. Receiver operating characteristic (ROC) curve analysis, logistic regression model and linear regression with adjustment for risk index for mortality prediction after cardiac transplantation (IMPACT) were performed. Results Out of 231 patients screened, 212 were included into analysis (mean age 55 ± 11 years, 73% male). One-year mortality was 19.7% (40 patients) and median DAOH was 298 days (229–322). ROC analysis revealed strongest discrimination for mortality by hsTnT at 48 h after HTX [AUC = 0.79 95% CI 0.71–0.87]. According to Youden Index, the cutoff for hsTnT at 48 h and mortality was 1640 ng/l. After adjustment for IMPACT score multivariate logistic and linear regression showed independent associations between hsTnT and mortality/DAOH with odds ratio of 8.10 [95%CI 2.99–21.89] and unstandardized regression coefficient of −1.54 [95%CI −2.02 to −1.06], respectively. Conclusion Postoperative hsTnT might be suitable as an early prognostic marker after HTX and is independently associated with 1-year mortality and poor DAOH. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 2047-783X |
العلاقة: | https://doi.org/10.1186/s40001-022-00978-4Test; https://doaj.org/toc/2047-783XTest; https://doaj.org/article/10e5a508da1b445bb6461836eca55aafTest |
DOI: | 10.1186/s40001-022-00978-4 |
الإتاحة: | https://doi.org/10.1186/s40001-022-00978-4Test https://doaj.org/article/10e5a508da1b445bb6461836eca55aafTest |
رقم الانضمام: | edsbas.3A18EEEA |
قاعدة البيانات: | BASE |
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Numerous risk stratification tools have been developed in the past years. However, their clinical utility is limited by their poor discriminative ability. High sensitivity troponin T (hsTnT) is the most specific biomarker to detect myocardial cell injury. However, its prognostic relevance after HTX is not fully elucidated. Thus, this study evaluated the predictive value of postoperative hsTnT for 1-year survival and days alive and out of hospital (DAOH) after HTX. Methods This retrospective cohort study included patients who underwent HTX at the University Hospital Duesseldorf, Germany between 2011 and 2021. The main exposure was hsTnT concentration at 48 h after HTX. The primary endpoints were mortality and DAOH within 1 year after surgery. Receiver operating characteristic (ROC) curve analysis, logistic regression model and linear regression with adjustment for risk index for mortality prediction after cardiac transplantation (IMPACT) were performed. 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