A simply calculated nutritional index provides clinical implications in patients undergoing transcatheter aortic valve replacement.

BACKGROUND: Malnutrition is associated with adverse outcomes in patients with aortic stenosis. The Triglycerides × Total Cholesterol × Body Weight Index (TCBI) is a simple scoring model to evaluate the status of nutrition. However, the prognostic relevance of this index in patients undergoing transcatheter aortic valve replacement (TAVR) is unknown. This study aimed to evaluate the association of the TCBI with clinical outcomes in patients undergoing TAVR. METHODS: A total of 1377 patients undergoing TAVR were evaluated in this study. The TCBI was calculated by the formula; triglyceride (mg/dL) × total cholesterol (mg/dL) × body weight (kg)/1000. The primary outcome was all-cause mortality within 3 years. RESULTS: Patients with a low TCBI, based on a cut-off value of 985.3, were more likely to have elevated right atrial pressure (p = 0.04), elevated right ventricular pressure (p < 0.01), right ventricular systolic dysfunction (p < 0.01), tricuspid regurgitation ≥ moderate (p < 0.01). Patients with a low TCBI had a higher cumulative 3-year all-cause (42.3% vs. 31.6%, p < 0.01; adjusted HR 1.36, 95% CI 1.05-1.77, p = 0.02) and non-cardiovascular mortality (15.5% vs. 9.1%, p < 0.01; adjusted HR 1.95, 95% CI 1.22-3.13, p < 0.01) compared to those with a high TCBI. Adding a low TCBI to EuroSCORE II improved the predictive value for 3-year all-cause mortality (net reclassification improvement, 0.179, p < 0.01; integrated discrimination improvement, 0.005, p = 0.01). CONCLUSION: Patients with a low TCBI were more likely to have right-sided heart overload and exhibited an increased risk of 3-year mortality. The TCBI may provide additional information for risk stratification in patients undergoing TAVR.

Association Between TCBI (Triglycerides, Total Cholesterol, and Body Weight Index) and Stroke-Associated Pneumonia in Acute Ischemic Stroke Patients.

Purpose: Stroke-associated pneumonia (SAP) usually complicates stroke and is linked to adverse prognoses. Triglycerides, total cholesterol, and body weight index (TCBI) is a new and simple calculated nutrition index. This study seeks to investigate the association between TCBI and SAP incidence, along with its predictive value. Patients and Methods: Nine hundred and sixty-two patients with acute ischemic stroke were divided into SAP group and Non-SAP group. The TCBI was divided into three layers: T1, TCBI < 948.33; T2, TCBI 948.33-1647.15; T3, TCBI > 1647.15. Binary Logistic regression analysis was used to determine the relationship between TCBI levels and the incidence of SAP. Furthermore, restricted cubic splines (RCS) analysis was utilized to evaluate the influence of TCBI on the risk of SAP. Results: TCBI in the SAP group was markedly lower compared to that in the Non-SAP group (P < 0.001). The Logistic regression model revealed that, using T3 layer as the reference, T1 layer had the highest risk for SAP prevalence (OR = 2.962, 95% CI: 1.600-5.485, P = 0.001), with confounding factors being controlled. The RCS model found that TCBI had a linear relationship with SAP (P for nonlinear = 0.490, P for overall = 0.004). Moreover, incorporating TCBI into the A2DS2 (Age, atrial fibrillation, dysphagia, sex, and severity) model substantially enhanced the initial model's predictive accuracy. Conclusion: Low TCBI was associated with a higher risk of SAP. In clinical practice, TCBI has shown predictive value for SAP, contributing to early intervention and treatment of SAP.

Prognostic value of TCBI for short-term outcomes in ATAD patients undergoing surgery.

OBJECTIVE: Nutritional status has been reported to be associated with the prognosis of cardiovascular diseases. The study aimed to investigate the prognostic value of Triglycerides-total Cholesterol-Body weight-Index (TCBI) for short-term mortality in acute type A aortic dissection (ATAD) patients undergoing surgery. METHODS AND RESULTS: Totally, the data of 290 ATAD patients undergone surgery were, retrospectively, analyzed. After logistic regression analysis, TCBI was identified as an independent predictor of short-term mortality in ATAD surgery. The development of receive operating characteristic (ROC) curve demonstrated that TCBI (AUC = 0.745, P < 0.001) could provide well prognostic value for short-term mortality. Accordingly, the optimal cut-off value was identified as 883.5 and patients were divided into high TCBI (> 883.5) and low TCBI (≤ 883.5) groups. Furthermore, Kaplan-Meier analysis illustrated that short-term mortality increased significantly in the low TCBI group than in the high TCBI group (P < 0.0001). In addition, the incidence of postoperative renal failure was also elevated in the low TCBI group (P = 0.0011). CONCLUSION: Malnutrition by preoperative TCBI presented strong prognostic value for patients following ATAD surgery. And TCBI could be applied for risk stratification and therapeutic strategy-making in ATAD.