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Abstract: Deceleration capacitiy for rapid risk stratification in stroke patientsCerebral ischemia is a major cause of neurologic deficit and patients suffering from ischemic stroke bear a relevant risk of mortality. Identifying stroke patients at high mortality risk is of crucial clinical relevance. Deceleration capacity of heart rate (DC) as a parameter of cardiac autonomic function is an excellent predictor of mortality in myocardial infarction and heart failure patients.The aim of our study was to evaluate whether DC provides prognostic information regarding mortality risk in patients with acute ischemic stroke.From September 2015 to March 2018 we prospectively enrolled consecutive patients presenting at the Stroke Unit of our university hospital with acute ischemic stroke who were in sinus rhythm. In these patients 24 hours-Holter-ECG recordings and evaluation of National Institute of Health Stroke Scale (NIHSS) were performed. DC was calculated according to a previously published algorithm. Primary endpoint was intrahospital mortality.Eight hundred seventy eight stroke patients were included in the study. Intrahospital mortality was 2.8% (25 patients). Both DC and NIHSS were significantly different between non-survivors and survivors (Mean ± SD: DC: 4.1 ± 2.8 ms vs 6.3 ± 3.3 ms, P < .001) (NIHSS: 7.6 ± 7.1 vs 4.3 ± 5.5, P = .02). DC achieved an area under the curve value (AUC) of 0.708 for predicting intrahospital mortality, while the AUC value of NIHSS was 0.641. In a binary logistic regression analysis, DC, NIHSS and age were independent predictors for intrahospital mortality (DC: HR CI 95%: 0.88 (0.79-0.97); P = .01; NIHSS: HR CI 95%: 1.08 (1.02-1.15); P = .01; Age: HR CI 95%: 1.07 (1.02-1.11); P = .004. The combination of NIHSS, age and DC in a prediction model led to a significant improvement of the AUC, which was 0.757 (P < .001, incremental development index [IDI] 95% CI: 0.037 (0.018-0.057)), compared to the individual risk parameters.Our study demonstrated that DC is suitable for both objective and independent risk stratification in patients suffering from ischemic stroke. The application of a prediction model combining NIHSS, age and DC is superior to the single markers in identifying patients at high mortality risk., Competing Interests: The authors do not have any affiliation to one or more organizations that could be perceived as a real or apparent conflict of interest in the context of the subject of this article. The authors have no conflicts of interests to disclose., (Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.)

Syncope is a common cause for admission to the emergency department (ED). Due to limited clinical resources there is great interest in developing risk stratification tools that allow identifying patients with syncope who are at low risk and can be safely discharged. Deceleration capacity (DC) is a strong risk predictor in postinfarction and heart failure patients. The aim of this study was to evaluate whether DC provides prognostic information in patients presenting to ED with syncope.We prospectively enrolled 395 patients presenting to the ED due to syncope. Patient's electrocardiogram (ECG) for the calculation of DC was recorded by monitoring devices which were started after admission. Both the modified early warning score (MEWS) and the San Francisco syncope score (SFSS) were determined in every patient. Primary endpoint was mortality after 180 days.Eight patients (2%) died after 180 days. DC was significantly lower in the group of nonsurvivors as compared with survivors (3.1 ± 2.5 ms vs 6.7 ± 2.4 ms; P < .001), whereas the MEWS was comparable in both was comparable in both groups. (2.1 ± 0.8 vs 2.1 ± 1.0; P = .84). The SFSS failed at identifying 4 of 8 nonsurvivors (50%) as high risk patients. No patient with a favorable DC (≥7 ms) died (0.0% vs 3.7%; P = .01, OR 0.55 (95% CI 0.40-0.76), P < .001). In the receiver operating characteristic (ROC) analysis DC yielded an area under the curve of 0.85 (95% CI 0.71-0.98).Our study demonstrates that DC is a predictor of 180-days-mortality in patients admitted to the ED due to syncope. Syncope patients at low risk can be identified by DC and may be discharged safely.

Background: Risk prediction in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve implantation (TAVI) is challenging. Development of novel markers for patient risk assessment is of great clinical value. Deceleration capacity (DC) of heart rate is a strong risk predictor in post-infarction patients., Hypothesis: DC provides prognostic information in patients undergoing TAVI., Methods: We enrolled 374 consecutive patients with severe AS undergoing TAVI. All patients received 24-hour Holter recording or continuous heart-rate monitoring to assess DC before intervention. Primary endpoint was all-cause mortality after 1 year., Results: Forty-nine patients (13.1%) died within 1 year. DC was significantly lower in nonsurvivors than in survivors (1.2 ± 4.8 ms vs 3.3 ± 2.9 ms; P < 0.001), whereas the logistic EuroSCORE and EuroSCORE II were comparable between groups (logistic EuroSCORE: 27.3% ± 17.0% vs 22.9% ± 14.2%; P = 0.122; EuroSCORE II: 8.0% ± 6.9% vs 6.7% ± 4.8%, P = 0.673). One-year mortality in the 116 patients with impaired DC (<2.5 ms) was significantly higher than in patients with normal DC (23.3% vs 8.5%; P < 0.001). In multivariate Cox regression analysis that included DC, sex, paroxysmal atrial fibrillation, hemoglobin level before TAVI, and logistic EuroSCORE, DC was the strongest predictor of 1-year mortality (hazard ratio: 0.88, 95% confidence interval: 0.85-0.94, P < 0.001). DC yielded an AUC in the ROC analysis of 0.645., Conclusions: DC of heart rate is a strong and independent predictor of 1-year mortality in patients with severe AS undergoing TAVI., (© 2017 Wiley Periodicals, Inc.)