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- Title
Heparin-binding protein measurement improves the prediction of myocardial injury-related cardiogenic shock.
- Authors
Pan, Tuo; Long, Guang-Feng; Chen, Cheng; Zhang, Hai-Tao; Wang, Jun-Xia; Ahaskar, Anshu; Chen, Hong-Bing; Wang, Dong-Jin
- Abstract
<bold>Background: </bold>Heparin-binding protein (HBP), a potent inducer of increased vascular permeability, is a potentially useful biomarker for predicting outcomes in patients with postoperative myocardial injury-related cardiogenic shock (MIRCS). We aimed to evaluate and validate HBP as a prognostic biomarker for postoperative MIRCS.<bold>Methods: </bold>We performed a case-control study in 792 patients undergoing cardiac surgery from January 1, 2016, to August 1, 2019, including 172 patients with postoperative MIRCS and 620 age- and sex-matched controls. The association between HBP and MIRCS was determined by multivariate logistic regression analysis. Receiver operating characteristic curves (ROCs) with area under the curve (AUC) were performed to calculate the cut-off value, sensitivity and specificity. The association between HBP and cardiac troponin T (cTnT) was determined by multivariable linear regression analysis. Blood samples were drawn from the coronary sinus and arterial line of the cardiopulmonary bypass (CPB) before aortic cross-clamping (time point 1) and 5 min after aortic declamping (time point 2).<bold>Results: </bold>Before aortic cross-clamping, coronary sinus HBP (HBPCS1) showed no differences between the two groups. However, after declamping, the MIRCS group had a significantly higher sinus HBP level (HBPCS2) than did the control group. HBPCS2 predicted MIRCS with an AUC of 0.85 (95% CI: 0.81-0.89, cut-off: 220 ng/ml, sensitivity: 92% and specificity: 70%). After adjusting for confounding factors, we found that HBP was an independent risk factor for MIRCS (OR: 7.65, 95% CI: 4.86-12.06, P < 0.01) and was positively associated with cTnT (β > 0, P < 0.01).<bold>Conclusions: </bold>Elevated levels of coronary sinus HBP were useful biomarkers for predicting MIRCS after cardiac surgery.
- Subjects
CARDIOGENIC shock; CARDIOPULMONARY bypass; RECEIVER operating characteristic curves; BIOMARKERS; LOGISTIC regression analysis; CARDIAC surgery
- Publication
BMC Cardiovascular Disorders, 2020, Vol 20, Issue 1, p1
- ISSN
1471-2261
- Publication type
journal article
- DOI
10.1186/s12872-020-01406-3