Mar 2016 DOI 10.14302/issn.2329-9487.jhc-13-335
Objective: To find out the diagnostic accuracy of admission ECG against coronary angiography (CAG) to predict the ARA in patients with USAP /NSTEMI. Background: In USAP even though multiple active plaques are documented, one critical lesion would be responsible for the index episode of angina. Contrary to STEMI there is no standard methodology to identify the Angina related artery (ARA) in USAP.Therefore we plan to determine whether admission ECG could predict the ARA in patients with USAP/NSTEMI. Patients and Methods: 250 eligible patients with USAP/NSTEMI undergoing coronary angiography were enrolled in the study. After locating the ARA , the patient’s admission ECG was compared with CAG finding to study whether it has any predictive value for identifying ARA. Results: Sensitivity of the admission ECG for LAD as ARA was 73.6%, Specificity was 93.5%, PPV was 90%, NPV was 81.8%, +LR 10.4, Posterior probability 0.89, -LR 0.29, Posttest odds 0.22. Similarly for RCA and LCx ,Sensitivity was 63.1%, Specificity was 93.7%, PPV was 90.5%, NPV was 72.7%, +LR 9, Posterior Probability 0.89, -LR 0.35, Posttest odds 0.33. For the LM and TVD, Sensitivity was 66.6%, Specificity was 98.5%, PPV was 91.4%, and NPV was 92.5%, +LR 33, Posterior Probability 0.89, -LR 0.33, Posttest odds 0.08. Conclusion: With high +LR, Admission ECG is moderately sensitive and highly specific for detecting culprit artery.
Dec 2023 DOI 10.14302/issn.2693-1176.ijgh-23-4854
A potential treatment for Alzheimer's disease is vagus nerve therapy, which has been made possible by considerable advances in neuroscience. An essential component of the autonomic nervous system, the vagus nerve regulates memory, inflammation, and cognition. Researchers hope to delay the progression of Alzheimer's disease and improve cognitive function by implanting a vagus nerve stimulator (VNS). Alzheimer's patients have higher heart rate variability, according to an ECG study, which may be advantageous. To completely grasp its mechanics and long-term effectiveness, more research is necessary.
Mar 2017 DOI 10.14302/issn.2476-1710.jdt-16-1332
Background: Unemployment is a chronic stressor which is associated with higher levels of impaired physical and mental wellbeing, e.g. reduced heart rate variability (HRV) and decline in self-esteem and self-efficacy. The present study investigated the effectivity of a HRV-biofeedback-training in increasing HRV and general self-efficacy. Method: A total of n = 22 unemployed individuals with adjustment disorder participated in this study (14 females, mean ages 42.53 ± 8.88 years). All participants performed randomized the “stress tests” for heart rate (HR) and HRV assessment: timed breathing, d2-attention-stress-test and math-test drawn from the Trier Social Stress Test (TSST). Four sessions HRV-biofeedback à 20 min within 2 weeks were administered. HR and HRV were assessed before and after biofeedback training. ECG preprocessing and analysis were performed with the Stressball software program (BioSign GmbH, Ottenhofen, Germany). The RMSSD time domain measure was calculated as HRV index. Clinical outcome measures were the ADNM total score and the general self-efficacy scale (GSE). Results: Participants were well matched in terms of demographic and clinical characteristics. ANOVA didn’t demonstrate significant time x group interaction effects neither for HRV parameters (HR, RMSSD) nor for psychological parameters (ADNM, GSE). Conclusion: Our findings do not indicate that HRV-biofeedback can increase HRV nor general self-efficacy in unemployed subjects with adjustment disorder. Implications for future studies are discussed.