Predictors for early mortality in patients with implantable cardiac defibrillator for heart failure with reduced ejection fraction.

Implantable cardioverter defibrillators (ICD) are recommended in heart failure with reduced ejection fraction (HFrEF) patients to reduce arrhythmic deaths. This study aimed to identify risk factors associated with mortality within one-year following the ICD. The data from our hospital's electronic database system was extracted for patients who were implanted ICD secondary to HFrEF between 2009 and 2019. Overall, 1107 patients were included in the present analysis. Mortality rate at one-year following the device implantation was 4.7%. In multivariate analysis; age, atrial fibrillation, New York Heart Association classification >2, blood urea nitrogen, pro-brain natriuretic peptide and albumin independently predicted one year mortality.

Comparison of mortality prediction scores in elderly patients with ICD for heart failure with reduced ejection fraction.

BACKGROUND: This investigation aimed to examine and compare the predictive value of MADIT-II, FADES, PACE and SHOCKED scores in predicting one-year and long-term all-cause mortality in implantable cardioverter-defibrillator (ICD) implanted patients, 75 years old and older, since there has been an area of uncertainty about the utility and usefulness of these available risk scores in such cases. METHODS: In this observational, retrospective study, 189 ICD implanted geriatric patients were divided into two groups according to the presence of long-term mortality in follow-up. The baseline characteristics and laboratory variables were compared between the groups. MADIT-II, FADES, PACE and SHOCKED scores were calculated at the time of ICD implantation. One-year and long-term predictive values of these scores were compared by a receiver-operating curve (ROC) analysis. RESULTS: A ROC analysis showed that the best cutoff value of the MADIT-II score to predict one-year mortality was ≥ 3 with 87% sensitivity and 74% specificity (AUC 0.83; 95% CI 0.73-0.94; p < 0.001) and that for long-term mortality was ≥ 2 with 83% sensitivity and 43% specificity (AUC 0.68; 95% CI 0.60-0.76; p < 0.001). The predictive value of MADIT-II was superior to FADES, PACE and SHOCKED scores in ICD implanted patients who are 75 years and older. CONCLUSION: MADIT-II score has a significant prognostic value as compared to FADES, PACE and SHOCKED scores for the prediction of one-year and long-term follow-up in geriatric patients with implanted ICDs for heart failure with reduced ejection fraction.

The value of C-reactive protein-to-albumin ratio in predicting long-term mortality among HFrEF patients with implantable cardiac defibrillators.

BACKGROUND: Patients with heart failure with reduced ejection fraction (HFrEF) who received implantable cardiac defibrillator (ICD) still remain at high risk due to pump failure and prevalent comorbid conditions. The primary aim of this research was to evaluate the predictive value of C-reactive protein-to-albumin ratio (CAR) for all-cause mortality among patients with HFrEF despite ICD implantation. MATERIALS AND METHODS: Those who were implanted ICD for HFrEF in our institution between 2009 and 2019 were included. Data were extracted from hospital's database. CAR was calculated as ratio of C-reactive protein (CRP) to serum albumin concentration. Patients were grouped into tertiles in accordance with CAR at the time of the implantation. During follow-up duration of 38 [17-77] months, survival times of tertiles were compared by using Kaplan-Meier survival method. Forward Cox proportional regression model was used for multivariable analysis. RESULTS: Thousand and eleven patients constituted the study population. Ischaemic cardiomyopathy was the primary diagnosis in 92.3%, and ICD was implanted for the primary prevention among 33.9% of patients. Of those, 14.5% died after the discharge. Patients in tertile 3 (T3) had higher risk of mortality (4.2% vs 11.0% vs 28.5%) compared with those in other tertiles. Multivariable analysis revealed that when patients in T1 were considered as the reference, both those in T2 and those in T3 had independently higher risk of all-cause mortality. This finding was consistent in the unadjusted and adjusted multivariable models. CONCLUSION: Among patients with HFrEF and ICD, elevated CAR increased the risk of all-cause mortality at long term.

Prognostic nutritional index as the predictor of long-term mortality among HFrEF patients with ICD.

BACKGROUND: The benefit of implantable cardiac defibrillator (ICD) in patients with heart failure and reduced ejection fraction (HFrEF) could be limited in a particular group of patients. Low prognostic nutritional index (PNI) indicates malnutrition and proinflammatory condition. We sought to investigate the value of PNI in predicting long-term mortality among HFrEF patients with ICD. METHODS: Electronic database was searched for identifying patients with HFrEF who were implanted ICD in our institution between 2009 and 2019. Demographic and clinical characteristics of included patients were recorded. PNI was calculated according to the formula: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm3 ). Patients were divided into the quartiles according to PNI values. Differences between the groups were analyzed by the log-rank test. A forward Cox proportional regression model was used for multivariable analysis. RESULTS: One thousand and hundred patients were included to the study. The underlying heart failure etiology was ischemic and nonischemic in 77.3% and 22.7% of patients, respectively. Mortality rate in Q1 (5.1%) was considered as the reference. In the unadjusted model the mortality rate was 9.5% (hazard ratio [HR] 1.76, 95% confidence interval [95% CI] [0.92-3.38]) in Q2, 10.2% (HR 1.88, 95% CI 0.99-3.58) in Q3, and 39.6% (HR 8.12, 95% CI 4.65-14.17) in Q4. The same trend was consistent in the age- and sex-adjusted, comorbidities-adjusted, and covariates-adjusted models. CONCLUSION: Among patients who were implanted with ICD secondary to HFrEF, lower PNI value predicted all-cause mortality during long-term follow-up. This is the first study demonstrating the value of PNI in this population.

Autoimmune activation as a determinant of atrial fibrillation among Turks: A prospective evaluation.

Although low-grade inflammation has been linked to the prediction of atrial fibrillation (AF), evidence from some reports suggest that autoimmune activation might potentially be a relevant mechanism. We assessed the predictive value of inflammation and other markers for the risk of incident AF.A score of age-controlled anthropometric, lipid, and nonlipid variables was compared in participants with recorded nonvalvular persistent/permanent AF (n = 110) to those of a nested cohort sample (n = 1126) of the Turkish Adult Risk Factor study. Available values preceding by 2 (±1) years the development of AF were used regarding incident AF (n = 87) in multivariable regression.Comparing age-controlled inflammation and other markers across the 2 groups, low apolipoprotein (apo) B and total cholesterol levels differed highly significantly in each sex. Moreover, low-density lipoprotein (LDL)-cholesterol and fasting insulin concentrations were significantly lower, sex hormone binding globulin (SHBG), glucose and systolic blood pressure higher in women alone, while C-reactive protein levels were similar. A model of multivariable logistic regression analyses for overall AF and 2 models for incident AF demonstrated a consistent inverse predictive value for apoB in each gender [relative risk (RR) 0.44 (95% confidence interval (CI), 95% CI 0.30-0.66], along with age, as main determinants. SHBG in females and waist circumference in males were further significantly associated with initial AF. Never smoking (compared with ever smoking) tended to predict AF.These findings, collectively, are highly consistent with an autoimmune process in which damaged epitope of apoB due to proinflammatory state emerge as a basic mechanism in the development of AF. ApoB level is likely only apparently reduced due to partial escape from assay.

Bradyarrhythmia development and permanent pacemaker implantation after cardiac surgery.

OBJECTIVE: Bradyarrhythmia is one of the complications that may develop after cardiac surgery. Only a few studies have previously dealt with this concern, and in our study, we investigated the factors affecting the development of atrioventricular block or sinus node dysfunction and the requirement of permanent pacemaker following cardiac surgery. METHODS: A total of 62 patients who developed the atrioventricular (AV) block or sinus node dysfunction and required a permanent pacemaker following cardiac surgery were included in the study. Among these, 31 patients were evaluated prospectively, and the information regarding 31 patients was evaluated retrospectively based on hospital records. Demographic, clinical, and surgical information was recorded. Patients were grouped according to the types of procedures, including the coronary artery bypass graft, valve surgery, congenital heart disease, and combinations of these. Patients were evaluated by standard 12-lead electrocardiogram and transthoracic echocardiography preoperatively. The postoperative development of bradyarrhythmia and requirement of permanent pacemaker were evaluated. RESULTS: The mean age of patients with preoperative conduction abnormality and wide QRS was statistically significantly higher than those without these disorders. The odds ratio for preoperative conduction abnormality risk in patients over 70 years of age was found as 4.429 (95% confidence interval, 1.40-13.93). There was no gender-related statistically significant difference in terms of left ventricular ejection fraction, left ventricular dilatation, interventricular septum thickness, the time interval from operation to the development of AV block, concomitant diseases, and complication rates. CONCLUSION: Preoperative conduction abnormality and wide QRS in patients over 70 years of age was determined as a risk factor.

Diastolic Electrocardiographic Parameters Predict Implantable Device Detected Asymptomatic Atrial Fibrillation.

BACKGROUND: Atrial fibrillation is the most common clinically significant arrhythmia. It is now established that atrial high-rate episodes are highly correlated with atrial fibrillation. AIMS: To investigate the relation between diastolic electrocardiographic parameters and subclinical atrial fibrillation detected by cardiac implantable electronic devices. STUDY DESIGN: Ccross-sectional study. METHODS: A total of 203 patients who had a dual-chamber, rate-modulated pacing pacemaker implanted due to sinus node dysfunction were prospectively enrolled in this study. Atrial high-rate episodes were defined as any lasting more than 5 min with an atrial rate of ≥220 beats per minute during the previous year. Patient groups were categorized on the basis of pacemaker interrogation as the absence of atrial high-rate episodes [atrial high-rate episodes (-)] and the presence of atrial high-rate episodes [atrial high-rate episodes (+)]. Episodes related to atrial over sensing were excluded. Twelve-lead surface electrocardiography was independently analyzed by two experienced readers for the measurement of diastolic electrocardiography parameters. RESULTS: Among 203 patients (mean age: 67.5±9.1, 60.1% male), 51 (25.1%) with atrial high-rate episodes were defined as group 1 and 152 (74.9%) without atrial high-rate episodes were defined as group 2. Both groups were similar in terms of demographic characteristics and cardiovascular risk factors. Tend-Q and Tend-P were significantly longer in group 2. PQ interval was statistically longer in group 1. Corrected QT interval was significantly longer in group 1. Diastolic electrocardiography index, heart rate and PQ and QT intervals were the only independent predictors of atrial high-rate episodes in patients with dual pacemakers in multivariate analysis. CONCLUSION: Abnormal diastolic electrocardiography parameters are powerful predisposing factors for the initiation of incident atrial fibrillation. Diastolic electrocardiography parameters and a novel diastolic index predict atrial high-rate episodes. Evaluating these parameters enables clinicians to identify patients who are at high risk and who may benefit from prophylactic treatment.