The heart and liver are two organs that are closely related. The Albumin-Bilirubin (ALBI) score is a developed scoring system for assessing liver function. The aims of this study were to examine the correlation between preoperative ALBI score and pulmonary artery pressure and to investigate its ability to predict heart valve surgery mortality outcomes. The data of 872 patients who underwent isolated and combined heart valve surgery from 2014 to 2021 were retrospectively screened. In the preoperative period, 152 patients with laboratory tests including albumin and total bilirubin were found and analyzed retrospectively. Thirteen of these patients were excluded from the study. The remaining 139 patients were included in the analysis. Baseline demographic data, echocardiography data, performance status, laboratory data, operative data, and postoperative status were collected. The optimal cutoff value of preoperative ALBI score was calculated. The cutoff for ALBI scores was calculated as -2.44 to predict in-hospital mortality (sensitivity = 75.0%, specificity = 70%). Based on the cutoff value, 90 patients had a low ALBI score (≤ -2.44, 64.7%) and 49 patients had a high ALBI score (> -2.44, 35.3%). High ALBI score was associated with an increased incidence of acute kidney injury and in-hospital mortality, and a positive correlation was found between ALBI score and pulmonary artery pressure. In patients with valvular surgery, high ALBI score was an independent prognostic factor of in-hospital mortality and acute kidney injury. It is easily measurable and a cost-effective way to predict mortality.

Objective: This study aimed to investigate the prognostic value of the preoperative Inflammatory Prognostic Index (IPI) in predicting late mortality in patients undergoing isolated surgical aortic valve replacement (AVR). Methods: A retrospective, single-center cohort of 400 patients who underwent elective, isolated surgical AVR between 2015 and 2023 was analyzed. The IPI was calculated using the formula: C-reactive protein (CRP) × neutrophil-to-lymphocyte ratio (NLR) / albumin. Patients were stratified into low- and high-IPI groups based on an optimal cut-off value of 0.2588 determined via ROC analysis. Clinical characteristics, operative data, and outcomes were compared. Cox proportional hazards regression was used to identify independent predictors of late mortality. Results: Patients with high IPI scores (≥0.2588) had significantly increased late mortality compared to those with low IPI (<0.2588) (10.3% vs 2.3%, p < .001). High IPI was associated with elevated CRP and neutrophils, and reduced albumin and lymphocytes. In univariate analysis, age, bioprosthesis use, and high IPI were significantly associated with late mortality. However, in multivariate analysis, only high IPI remained an independent predictor (HR = 3.405, 95% CI: 1.289–8.996, p = .013). Kaplan–Meier survival analysis confirmed lower long-term survival in the high-IPI group ( log-rank p < .001). Conclusion: Preoperative IPI is a simple, accessible, and independent predictor of late mortality after surgical AVR. Integrating IPI into preoperative risk assessment may improve long-term prognostic stratification and guide perioperative management.

Background: This study aims to identify the causes of early mortality in patients undergoing mitral valve surgery performed in combination with coronary artery bypass grafting for the treatment of ischemic mitral regurgitation. Methods: Between January 2017 and January 2023, a total of 411 patients (272 males, 139 females; mean age: 63.1±9.1 years; range, 32 to 92 years) who underwent coronary artery bypass grafting and mitral valve surgery due to ischemic mitral regurgitation were retrospectively analyzed. The primary outcome measure of the study was in-hospital mortality. The patients were divided into two groups as those with and without in-hospital mortality. Variables affecting mortality were identified. Results: In-hospital mortality was observed in 13.6% (n=56) of the patients. Elective surgery was performed in 308 patients (74.9%), while priority surgery was performed in 103 patients (25.1%). Mortality rate was 9.1% in elective cases and 27.1% in priority cases. Independent risk factors for mortality included age (p=0.001), female sex (p<0.001), priority surgery (p=0.005), low left ventricular ejection fraction (p=0.005), high creatinine levels (p=0.002), the presence of extracardiac arteriopathy (p=0.042), and prolonged cardiopulmonary bypass time (p<0.001). In priority cases, a waiting period of ≤9 days was associated with higher mortality (area under the curve: 0.781, sensitivity: 75%, specificity: 72%, p<0.001). Conclusion: A comprehensive preoperative evaluation is crucial for optimizing outcomes in patients with ischemic mitral regurgitation. In high-risk cases, the use of less invasive approaches, such as percutaneous interventions, can be considered potential alternatives. In priority cases, if hemodynamic stability can be achieved, waiting nine days after the index event before performing surgical intervention may significantly reduce perioperative and in-hospital mortality rates.