66 Simple bedside cardiovascular autonomic examinations for predicting chronotropic incompetence

• Published in: European heart journal Vol. 41; no. Supplement_1
• Main Authors: Rusnanta, F, Rizal, A
• Format: Journal Article
• Language: English
• Published: Oxford University Press 01.01.2020
• ISSN: 0195-668X; 1522-9645
• DOI: 10.1093/ehjci/ehz872.004

Abstract Background Simple bedside cardiovascular autonomic reflex test (CARTs) are usually used to determine cardiovascular autonomic neuropathy (CAN). CAN may contribute to chronotropic incompetence (CI) which is the inability of the heart rate (HR) to rise in proportion to an increase in metabolic demand. Determination of CI is widely based on measurement of maximum HR during exercise testing. This study aimed to evaluate the role of CARTs to determine CI. Methods We included in 105 patients using a derivation and validation sampling ratio of 2:1. CARTs were performed for analyzing heart rate variation during three parasymphathetic standard tests (deep breathing, lying to standing, Valsava maneuver) and two sympathetic standard tests (systolic blood pressure from lying to standing and diastolic blood pressure during handgrip maneuver). Variables independently associated with CI in multivariable analysis in the derivation set were assigned points based on their respective odds ratios. Results CI group showed significantly lower values of among three parasympathetic standard tests (p < 0.05) but not significantly among two sympathetic standars tests. Valsava maneuver (OR 0.1, p < 0.001, 95%CI 0.001-0.004), deep breathing (OR 0.91, p = 0.025, 95% CI 0.836-0.988), and handgrip maneuver (OR 0.85, p = 0.01, 95% CI 0.744-0.961) were found to be an independent risk factor for CI from multivariate regression analysis. The accuracy of different CART parameters in the prediction of CI was described by the receiver operating curve (ROC) analysis. Regarding logistic regression model, we constructed formula of 15 - ([12 x Valsava maneuver] + [0.1 x deep breathing] + [0.2 x handgrip maneuver]) which will show negative and positive results indicating CI and non-CI, respectively. The resulting score showed good calibration and discriminatory capacity in the derivation (Hosmer-Lemeshow x² 10.051, p = 0.186, AUC = 0.878). The difference between AUCs in the derivation and validation sets was Δ =  0.122 (p = 0.174). Conclusion The decrease in heart rate variations during Valsava maneuver and deep breathing and in diastolic blood pressure during handgrip maneuver seems to be related to development of CI. Formula of CARTs score is a useful tool for predicting CI. Final score sheet based on formula Total score CI probability <-0.1 High probaility 0.2-0.6 Intermediate probability >0.6 Low probability