The Postoperative Platelet to Creatinine Ratio as A Prognostic Index of In-Hospital Mortality in Patients with Acute Type A Aortic Dissection

The purpose of the investigation was to assess the value of post-operation platelet to creatinine ratio (PCR) in predicting in-hospital mortality among patients with acute type A aortic dissection (TAAAD). A retrospective study was carried out from January 2017 to December 2019. The best cutoff valu...

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Veröffentlicht in:The Heart surgery forum 2023-12, Vol.26 (6), p.E735-E739
Hauptverfasser: Wang, Yaman, Qiu, Shengfeng, Chen, Ying, Cheng, Xiangjun, Zhou, Jun
Format: Artikel
Sprache:eng
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Zusammenfassung:The purpose of the investigation was to assess the value of post-operation platelet to creatinine ratio (PCR) in predicting in-hospital mortality among patients with acute type A aortic dissection (TAAAD). A retrospective study was carried out from January 2017 to December 2019. The best cutoff value of post-operation PCR was assessed by receiver operating characteristic (ROC) curve. Patients were divided into survivors and nonsurvivors. Univariate and multivariate logistic analyses were carried out to identify independent risk factors influencing in-hospital mortality. A total of 171 patients were included in this investigation, with an in-hospital mortality rate of 18.1%. The optimal cut-off value of post-operation PCR was 0.7242 (area under the ROC curve (AUC): 0.798, 95% confidence interval (CI) 0.730-0.856, p < 0.001), and the sensitivity and specificity were 74.2% and 74.3%. The levels of post-operation PCR were lower in nonsurvivors than in survivors (0.56 ± 0.33 vs. 1.50 ± 1.36, p < 0.001). Multivariate logistic regression analysis displayed that post-operation PCR was positively related to in-hospital survivors when confounding factors were adjusted (HR = 8.850, 95% CI = 2.611-30.303, p < 0.001). Post-operative PCR is a readily accessible and cost-effective biomarker that is independently associated with in-hospital mortality in TAAAD patients. Furthermore, it exhibits superior performance in predicting patient outcomes following surgery.
ISSN:1098-3511
1522-6662
DOI:10.59958/hsf.6935