Back to Search Start Over

Circulating biomarker-based risk stratifications individualize arch repair strategy of acute Type A aortic dissection via the XGBoosting algorithm.

Authors :
Liu H
Qian SC
Han L
Zhang YY
Wu Y
Hong L
Yang JN
Zhong JS
Wang YQ
Wu DK
Fan GL
Chen JQ
Zhang SQ
Peng XX
Tang ZW
Hamzah AW
Shao YF
Li HY
Zhang HJ
Source :
European heart journal. Digital health [Eur Heart J Digit Health] 2022 Nov 01; Vol. 3 (4), pp. 587-599. Date of Electronic Publication: 2022 Nov 01 (Print Publication: 2022).
Publication Year :
2022

Abstract

Aims: The incremental usefulness of circulating biomarkers from different pathological pathways for predicting mortality has not been evaluated in acute Type A aortic dissection (ATAAD) patients. We aim to develop a risk prediction model and investigate the impact of arch repair strategy on mortality based on distinct risk stratifications.<br />Methods and Results: A total of 3771 ATAAD patients who underwent aortic surgery retrospectively included were randomly divided into training and testing cohorts at a ratio of 7:3 for the development and validation of the risk model based on multiple circulating biomarkers and conventional clinical factors. Extreme gradient boosting was used to generate the risk models. Subgroup analyses were performed by risk stratifications (low vs. middle-high risk) and arch repair strategies (proximal vs. extensive arch repair). Addition of multiple biomarkers to a model with conventional factors fitted an ABC risk model consisting of platelet-leucocyte ratio, mean arterial pressure, albumin, age, creatinine, creatine kinase-MB, haemoglobin, lactate, left ventricular end-diastolic dimension, urea nitrogen, and aspartate aminotransferase, with adequate discrimination ability {area under the receiver operating characteristic curve (AUROC): 0.930 [95% confidence interval (CI) 0.906-0.954] and 0.954, 95% CI (0.930-0.977) in the derivation and validation cohort, respectively}. Compared with proximal arch repair, the extensive repair was associated with similar mortality risk among patients at low risk [odds ratio (OR) 1.838, 95% CI (0.559-6.038); P = 0.316], but associated with higher mortality risk among patients at middle-high risk [OR 2.007, 95% CI (1.460-2.757); P < 0.0001].<br />Conclusion: In ATAAD patients, the simultaneous addition of circulating biomarkers of inflammatory, cardiac, hepatic, renal, and metabolic abnormalities substantially improved risk stratification and individualized arch repair strategy.<br />Competing Interests: Conflict of interest: None declared.<br /> (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Details

Language :
English
ISSN :
2634-3916
Volume :
3
Issue :
4
Database :
MEDLINE
Journal :
European heart journal. Digital health
Publication Type :
Academic Journal
Accession number :
36710897
Full Text :
https://doi.org/10.1093/ehjdh/ztac068