Status of Acute Stroke Practice in Patients with a Cardiac Implantable Electronic Device

Although diagnostic and therapeutic strategies for acute stroke patients in Japan depend largely on magnetic resonance imaging (MRI), patients with cardiac implantable electronic devices (CIED) must still rely on com-puted tomography (CT). We retrospectively analyzed clinical and neuroimaging data of ischemic stroke patients with CIED treated at our hospital. Forty-five patients were enrolled in the study. Patients were divided into two groups according to whether corresponding lesions were detected (group A, n = 21) or not detected (group B, n = 24) by the first brain CT. We also evaluated in detail the clinical courses of patients who arrived at hospital within therapeutic time windows for recanalization therapy. Negative fresh infarct in the first CT was associated, though not significantly, with early onset-to-arrival time and subcortical white matter infarction. Five patients did not undergo recanalization therapy because their families did not agree to the procedure. The reasons for their lack of consent included inadequate information about the safety and efficacy of recanalization therapy because MRI could not be performed. Our study confirmed delayed detection of the corresponding lesion and undertreatment for acute stroke in patients with CIED

The effect of metabolic syndrome on heart rate turbulence in non-diabetic patients

Background: Metabolic syndrome (MetS), which includes a cluster of risk factors, is being increasingly recognized as a new risk factor for cardiovascular disease. Heart rate turbulence (HRT) is a Holter-based non-invasive method for detecting cardiac autonomic imbalance and is an independent, powerful predictor of cardiac arrhythmias and sudden cardiac death in different patient groups. This study evaluated the effect of MetS on HRT in non-diabetic patients. Methods: This study included 80 non-diabetic MetS subjects and 50 healthy subjects. All 130 subjects underwent a 24-h ambulatory Holter electrocardiogram recording. Two indices of HRT were analyzed: turbulence onset (TO) and turbulence slope (TS). HRT values were classified into 3 categories for risk stratification: 1) Category 0, TO and TS were normal; 2) Category 1, either TO or TS was abnormal; 3) Category 2, both TO and TS were abnormal. Results: When we compared MetS rates in the HRT risk stratification groups, there were significant differences for all groups as compared with the controls (Category 0 = MetS 28.8%, n = 15, Control 71.2%, n = 37, p < 0.001; Category 1 = MetS 80.8%, n = 42, Control 19.2%, n = 10, p < 0.001; Category 2 = MetS 88.5%, n = 23, Control 11.5%, n = 3, p < 0.001). In addition, TO and TS abnormalities were correlated with the number of MetS components (r = 0.608, p < 0.001; r = -0.388, p < 0.001, respectively). Conclusions: To our knowledge, this is the first study to establish a relationship between HRT and MetS. These findings suggest that MetS adversely affects HRT scores. In addition, the number of MetS components is related to impaired HRT scores. (Cardiol J 2012; 19, 5: 507-512

Antegrade slow pathway mapping of typical atrioventricular nodal reentrant tachycardia based on direct slow pathway capture

Background: Radiofrequency (RF) ablation of typical atrioventricular nodal reentrant tachycardia (tAVNRT) is performed without revealing out the location of antegrade slow pathway (ASp). In this study, we studied a new electrophysiological method of identifying the site of ASp. Methods: This study included 19 patients. Repeated series of very high-output single extrastimulations (VhoSESts) were delivered at the anatomical slow pathway region during tAVNRT. Tachycardia cycle length (TCL), coupling interval (CI), and return cycle (RC) were measured and the prematurity of VhoSESts [ΔPM (= TCL – CI)] and the prolongation of RCs [ΔPL (= RC – TCL)] were calculated. Pacing sites were classified into two categories: (i) ASp capture sites [DSPC(+) sites] were calculated. Pacing sites were classified into two categories: (i) ASp capture sites [DSPC(+) sites, where two different RCs were shown, and ASp non-capture sites [DSPC(-) sites], where only one RC was shown. RF ablation was performed at DSPC(+) sites and/or sites with catheter-induced mechanical trauma (CIMT) to ASp. Results: DSPC(+) sites were shown in 13 patients (68%). RF ablation was successful in all patients without any degree of atrioventricular block nor recurrence. Total number of RF applications was 1.8 ± 1.1. Minimal distance between successful ablation sites and DSPC(+)/CIMT sites and His bundle (HB) electrogram recording sites was 1.9 ± 0.8 mm and 19.8 ± 6.1 mm, respectively. ΔPL of more than 92.5 ms, ΔPL/TCL of more than 0.286, and ΔPL/ΔPM of more than 1.565 could identify ASp with sensitivity of 100%, 91.1%, and 88.9% and specificity of 92.9%, 97.0%, and 97.6%, respectively. Conclusions: Sites with ASp capture and CIMT were close to successful ablation sites and could be useful indicators of tAVNRT ablation

Relationship between Soluble (Pro)Renin Receptor and Renin Activity in Patients with Severe Heart Failure

The (pro)renin receptor ((P)RR), which evokes renin activity with prorenin, is secreted extracellularly as soluble (P)RR (s(P)RR) and may participate in tissue renin-angiotensin system (RAS) activity in severe heart failure (HF) patients. The aim of this study was to determine whether s(P)RR is an adequate marker in severe HF patients treated with RAS inhibitors, beta-blockers, and tolvaptan. We enrolled 11 patients with severe HF between May 2013 and June 2014. First of all, furosemide of all patients was changed to tolvaptan with hydrochlorothiazide and then the treatment had been changed according to the patient&rsquo;s condition. After 1, 3, 6, and 12 months, the variance of s(P)RR, plasma renin activity (PRA), plasma renin concentration (PRC), brain natriuretic peptide (BNP) and their association was investigated. Furosemide was restarted in five patients and two patients suffered cardiac death. PRA/PRC and s(P)RR were unchanged (PRA: 10.7 &plusmn; 13.9 to 12.8 &plusmn; 8.5 ng/mL/h; PRC: 347.1 &plusmn; 577.5 to 148.3 &plusmn; 123.8 pg/mL; s(P)RR: 28.2 &plusmn; 19.3 to 33.4 &plusmn; 22.4 ng/mL) and had no significant correlations (PRA and s(P)RR: p = 0.36; PRC and s(P)RR: p = 0.35). There was a significant positive correlation with a high correlation coefficient (CC) between PRA and PRC (p &lt; 0.0001, CC = 0.76), and a negative correlation with weak CC between BNP and s(P)RR (p = 0.01, CC = &minus;0.45). In conclusion, s(P)RR was always high and had no correlations with disease state and PRA/PRC in severe HF patients