Paradoxically simple: A new nutritional index for predicting coronary risk

Yang-Giuliano, Xiaoyu; Osborn, Eric A.

doi:10.1016/j.ijcard.2018.03.096

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The most significant advantages of TCBI compared to GNRI and CONUT are its simplicity and the time and effort saved when calculating parameters involved in caring for and treating ICU patients. The calculation of TCBI simply requires multiplying 3 cardiology-friendly variables [28], while anyone who calculates GNRI needs to know the constant values 14.89 and 41.7, and how to calculate ideal body weight, which is different among males and females [9]. For CONUT, they need to know thresholds and scores for serum albumin, total lymphocyte counts, and total cholesterol as it is a score scale [10].…”

Section: Discussionmentioning

confidence: 99%

A Novel Nutritional Index Serves as A Useful Prognostic Indicator in Cardiac Critical Patients Requiring Mechanical Circulatory Support

et al. 2019

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Background: A poor nutritional status has been gathering intense clinical interest recently as it has been suggested to associate with adverse outcomes in patients in the intensive care unit (ICU). However, there is still no established nutritional index dominantly used in clinical practice. We have previously proposed a novel nutritional index, which can be calculated using serum levels of triglycerides, total cholesterol, and body weight (TCBI). In this study, to expand the application of TCBI for critical patients, we investigated the usefulness of TCBI to predict prognosis in hemodynamically unstable patients with percutaneously implantable mechanical circulatory support (MCS) devices in the ICU. Patients and Methods: This is a retrospective analysis of a multicenter registry consisting of three Juntendo University hospitals in Japan involving patients who received MCS devices, including intra-aortic balloon pumping (IABP) with or without veno-arterial extracorporeal membrane oxygenation (VA-ECMO), between 2012 and 2016 (n = 439). The median follow-up period was 298 days. Results: Spearman’s correlation coefficient between TCBI and the geriatric nutritional risk index (GNRI) was 0.44 (p < 0.0001), indicating a moderate positive correlation for these two variables. Unadjusted Kaplan–Meier analysis demonstrated reduced risks of all-cause and cardiovascular mortalities in patients with higher tertiles of TCBI. Furthermore, adjusted multivariate Cox proportional hazard analyses revealed that the highest tertile TCBI was an independent predictor for the reduced risk of all-cause mortality (hazard ratio (HR): 0.22, 95% confidence interval: 0.10–0.48, p < 0.0001) and cardiovascular mortality (0.20, 0.09–0.45, p < 0.0001). Conclusion: A novel and simple to calculate nutritional index, TCBI, can be applicable as a prognostic indicator in hemodynamically unstable patients requiring MCS devices.

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Section: Discussionmentioning

confidence: 99%