Next Article in Journal
Daytime Exposure to Blue Light Alters Cardiovascular Circadian Rhythms, Electrolyte Excretion and Melatonin Production
Previous Article in Journal
Evaluation of Antibacterial and Antiviral Drug Effectiveness in COVID-19 Therapy: A Data-Driven Retrospective Approach
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients

Department of Surgical Treatment for Interactive Pathology, Bakoulev Scientific Center for Cardiovascular Surgery, Rublevskoe Shosse, 135, 121552 Moscow, Russia
*
Author to whom correspondence should be addressed.
Pathophysiology 2022, 29(1), 106-117; https://doi.org/10.3390/pathophysiology29010010
Submission received: 6 January 2022 / Revised: 7 March 2022 / Accepted: 7 March 2022 / Published: 9 March 2022

Abstract

Background: Understanding of the risk factors for the development of adverse outcomes after aortic valve replacement is necessary to develop timely preventive measures and to improve the results of surgical treatment. Methods: We analyzed patients with aortic stenosis (n = 742) who underwent surgical treatment in the period 2014–2020. The average age was 63 (57;69) years—men 58%, women 42%. Results: The hospital mortality rate was 3% (22 patients). The following statistically significant threshold values (cut-off points) were obtained in the ROC analysis: aortic cross-clamp time > 93 min AUC (CI) 0.676 (0.640–0.710), p = 0.010; cardiopulmonary bypass time > 144 min AUC (CI) 0.809 (0.778–0.837), p < 0.0001, hemoglobin before op <120 g/L. AUC (CI) 0.762 (0.728–0.793), p < 0.0001, hematocrit before op <39% AUC (CI) 0.755 (0.721–0.786), p < 0.001, end-diastolic dimension index >2.39 AUC (CI) 0.647 (0.607–0.686), p = 0.014, end-systolic dimension index > 1.68 AUC (CI) 0.657 (0.617–0.695), p = 0.009. Statistically significant independent predictors of hospital mortality were identified: BMI > 30 kg/m2 (OR 2.84; CI 1.15–7.01), ischemic heart disease (OR 3.65; CI 1.01–13.2), diabetes (OR 3.88; CI 1.38–10.9), frequent ventricular ectopy before operation (OR 9.78; CI 1.91–50.2), mitral valve repair (OR 4.47; CI 1.76–11.3), tricuspid valve repair (OR 3.06; CI 1.09–8.58), 3 and more procedures (OR 4.44; CI 1.67–11.8). Conclusions: The hospital mortality rate was 3%. The main indicators associated with the risk of death were: diabetes, overweight (body mass index more than 30 kg/m2), frequent ventricular ectopy before surgery, hemoglobin level below 120 g/L, hematocrit level below 39%, longer cardiopulmonary bypass time and aortic cross-clamp time, additional mitral and tricuspid valve interventions.
Keywords: aortic stenosis; predictors of adverse outcomes; aortic valve replacement aortic stenosis; predictors of adverse outcomes; aortic valve replacement
Graphical Abstract

Share and Cite

MDPI and ACS Style

Shvartz, V.; Sokolskaya, M.; Petrosyan, A.; Ispiryan, A.; Donakanyan, S.; Bockeria, L.; Bockeria, O. Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients. Pathophysiology 2022, 29, 106-117. https://doi.org/10.3390/pathophysiology29010010

AMA Style

Shvartz V, Sokolskaya M, Petrosyan A, Ispiryan A, Donakanyan S, Bockeria L, Bockeria O. Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients. Pathophysiology. 2022; 29(1):106-117. https://doi.org/10.3390/pathophysiology29010010

Chicago/Turabian Style

Shvartz, Vladimir, Maria Sokolskaya, Andrey Petrosyan, Artak Ispiryan, Sergey Donakanyan, Leo Bockeria, and Olga Bockeria. 2022. "Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients" Pathophysiology 29, no. 1: 106-117. https://doi.org/10.3390/pathophysiology29010010

APA Style

Shvartz, V., Sokolskaya, M., Petrosyan, A., Ispiryan, A., Donakanyan, S., Bockeria, L., & Bockeria, O. (2022). Predictors of Mortality Following Aortic Valve Replacement in Aortic Stenosis Patients. Pathophysiology, 29(1), 106-117. https://doi.org/10.3390/pathophysiology29010010

Article Metrics

Back to TopTop