Retrospective observational study on predictors of body weight and BNP teduction in cases of tolvaptan induction for heart failure

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.

Abstract

Tolvaptan (TLV) carries the risk of serious side effects, and its introduction requires hospitalization. Therefore, it is important from the viewpoints of safety and medical economics to predict in advance, the patients for whom it will be effective and introduce it. The purpose of this study was to investigate the noninvasive and simple predictors for identifying TLV responders. We conducted a retrospective observational study of patients with heart failure who had TLV introduced at our hospital from January 1, 2017, to December 31, 2018. By using the body weight and BNP reduction as the effect indices, predictors of body weight and BNP reduction were extracted by logistic analysis. The sensitivity and specicity at the cutoff value obtained by ROC analysis were also examined. Among 85 subjects, urine sodium concentration >63 mEq/L [odds ratio (OR): 6.11, 95% condence interval (CI): 1.3627.4] was detected as a predictor of body weight reduction. The sensitivity at this cutoff value was 81%, and the specicity was 70%. Serum osmolarity>291 mOsm/L (OR: 3.76, 95% CI: 1.0014.2), urine potassium concentration<21 mEq/L (OR: 4.45, 95% CI: 1.09 18.2), and urine sodium concentration>71 mEq/L (OR: 7.38, 95% CI: 2.0526.6) were detected as predictors of BNP reduction. The sensitivities were 62%, 53%, and 73%, and the specicities were 58%, 68%, and 68%, respectively. Therefore, it was suggested that urine sodium concentration may be useful as a predictor of body weight and BNP decrease after TLV induction.

Cite

CITATION STYLE

APA

Shinoda, R., Shinoda, Y., Mori, T., & Yoshimura, T. (2021). Retrospective observational study on predictors of body weight and BNP teduction in cases of tolvaptan induction for heart failure. Yakugaku Zasshi, 141(2), 281–288. https://doi.org/10.1248/YAKUSHI.20-00221

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free