Validation of a novel algorithm for quantification of the percentage of signal fractionation in atrial fibrillation.

AIMS: Catheter ablation for paroxysmal atrial fibrillation (AF) is rapidly becoming a standard practice. There is literature to support that catheter ablation of persistent AF requires additional 'substrate modification'. In clinical practice, operators rely on automated fractionation maps created by three-dimensional anatomic mapping systems to rapidly assess complex 'fractionated' signals (CFAE). These systems use differing algorithms to automate the process. The agreement between operators and contemporary algorithms has not been examined. We sought to assess the agreement between operators and a novel method of quantification calculating percentage fractionation (PF). METHODS AND RESULTS: Expert opinion on 80 atrial electrogram 4 s signals of varying levels of activity were gathered and pooled for comparison. Twelve independent experts visually quantified the signal fractionation and offered a threshold level for ablation. We developed an algorithm to find sites with high continuous electrical activity, or high PF. Correlation between experts and PF was 0.78 [P < 0.01, 95% confidence interval (CI) (0.68-0.86)]. Receiver operating characteristics curve sensitivity and specificity for PF were 0.7727 and 0.8103 at the optimal cut-off point of 58.45 PF with area under curve 0.89 CI (0.80-0.99). CONCLUSION: The PF statistic represents a more robust and intuitive measure to represent fractionated atrial activity; importantly it demonstrates excellent agreement with expert users and presents a new standard for algorithm assessment. Use of a PF statistic should be considered in automated mapping systems.

The Quick Inventory of Depressive Symptomatology, Adolescent Version (QIDS-A17): A Psychometric Evaluation.

Objective: The current study aimed to evaluate the psychometric features of the Quick Inventory of Depressive Symptomatology, Adolescent version (QIDS-A17) and the clinician-rated Children's Depression Rating Scale-Revised (CDRS-R). Methods: Altogether, 103 outpatients (8 to 17 years) completed the self-report QIDS-A17-SR. Clinician interviews of adolescents (QIDS-A17-C (Adolescent)) and of parents (QIDS-A17-C (Parent)) were combined to create the QIDS-A17-C(Composite) and the CDRS-R. Results: All QIDS-A17 measures and the CDRS-R evidenced high total score correlations and internal consistency. Factor analysis found all four measures to be unidimensional. Item Response Theory (IRT) analysis found results that complemented the reliability results found in CTT. All four also demonstrated discriminant diagnostic validity based on logistic regression and ANOVA analyses. Conclusion: The psychometric properties of the self-report and composite versions of the QIDS-A17 suggest acceptability as a measure of depression in adolescents either as a measure of depressive symptoms or severity of illness in adolescents. The self-report version may be a helpful tool in busy clinical practices.

The clinical relevance of self-reported premenstrual worsening of depressive symptoms in the management of depressed outpatients: a STAR*D report.

OBJECTIVE: To determine the incidence, clinical and demographic correlates, and relationship to treatment outcome of self-reported premenstrual exacerbation of depressive symptoms in premenopausal women with major depressive disorder who are receiving antidepressant medication. METHOD: This post-hoc analysis used clinical trial data from treatment-seeking, premenopausal, adult female outpatients with major depression who were not using hormonal contraceptives. For this report, citalopram was used as the first treatment step. We also used data from the second step in which one of three new medications were used (bupropion-SR [sustained release], venlafaxine-XR [extended release], or sertraline). Treatment-blinded assessors obtained baseline treatment outcomes data. We hypothesized that those with reported premenstrual depressive symptom exacerbation would have more general medical conditions, longer index depressive episodes, lower response or remission rates, and shorter times-to-relapse with citalopram, and that they would have a better outcome with sertraline than with bupropion-SR. RESULTS: At baseline, 66% (n=545/821) of women reported premenstrual exacerbation. They had more general medical conditions, more anxious features, longer index episodes, and shorter times-to-relapse (41.3 to 47.1 weeks, respectively). Response and remission rates to citalopram, however, were unrelated to reported premenstrual exacerbation. Reported premenstrual exacerbation was also unrelated to differential benefit with sertraline and bupropion-SR. CONCLUSIONS: Self-reported premenstrual exacerbation has moderate clinical utility in the management of depressed patients, although it is not predictive of overall treatment response. Factors that contribute to a more chronic or relapsing course may also play a role in premenstrual worsening of major depressive disorder (MDD).

The impact of chronic depression on acute and long-term outcomes in a randomized trial comparing selective serotonin reuptake inhibitor monotherapy versus each of 2 different antidepressant medication combinations.

OBJECTIVE: To compare sociodemographic and clinical features, acute and continuation treatment outcomes, and adverse events/side effect burden between outpatients with chronic (current episode > 2 years) versus nonchronic major depressive disorder (MDD) who were treated with combination antidepressant therapy or selective serotonin reuptake inhibitor (SSRI) monotherapy. METHOD: 663 outpatients with chronic (n = 368) or nonchronic (n = 295) moderate to severe DSM-IV-TR MDD (17-item Hamilton Depression Rating Scale score ≥ 16) were enrolled from March 2008 through September 2009 in a single-blind 7-month prospective randomized trial conducted at 6 primary and 9 psychiatric care sites across the United States. Participants were treated with escitalopram monotherapy plus placebo or 1 of 2 combination treatments (bupropion sustained-release [SR] + escitalopram or venlafaxine extended-release [XR] + mirtazapine). Analyses compared baseline sociodemographic and clinical characteristics, rates of remission (at least 1 of the last 2 consecutive scores on the 16-item Quick Inventory of Depressive Symptomatology-Self-Report [QIDS-SR16] < 6, with the other < 8), and adverse events/side effect burden (Frequency, Intensity, and Burden of Side Effects Ratings) obtained at 12 and 28 weeks. RESULTS: Participants with chronic MDD were at greater socioeconomic disadvantage and had greater medical and psychiatric disease burden. The chronic and nonchronic groups did not differ in rates of remission at 12 weeks (35.9% vs 42.0%, respectively; odds ratio [OR] = 0.778, P = .1500; adjusted OR [AOR] = 0.956, P = .8130) or at 28 weeks (41.0% vs 49.8%, respectively; OR = 0.706, P = .0416; AOR = 0.837, P = .3448). Participants with chronic MDD had higher final QIDS-SR(16) scores and smaller overall percent changes in QIDS-SR(16) from baseline to exit, but these differences did not remain after adjusting for covariates. There were no significant differences in adverse events or side effect burden. No significant interactions were found between chronicity and type of treatment at 12 or 28 weeks. CONCLUSION: Chronicity of illness does not appear to differentially impact acute or longer-term outcomes with SSRI monotherapy or combination antidepressant medication treatment in patients with moderate to severe nonpsychotic MDD. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT00590863.

Psychometric properties of the Children's Depression Rating Scale-Revised in adolescents.

OBJECTIVE: The aim of this study was to present the reliability and validity of the Children's Depression Rating Scale-Revised (CDRS-R) in the adolescent age group. METHOD: Adolescents with symptoms of depression were assessed using the CDRS-R and global severity and functioning scales at screening, baseline, and after 12 weeks of fluoxetine treatment. Global improvement was also assessed at week 12 (or exit). Reliability and validity were analyzed using Classical Test Theory (item-total correlations and internal consistency) and correlations between the CDRS-R and other outcomes. RESULTS: Adolescents (n = 145) were evaluated at screening; 113 (77.9%) met criteria for major depressive disorder, 8 (5.5%) had subthreshold depressive symptoms, and 24 (16.6%) had minimal depressive symptoms. Ninety-four adolescents had a baseline visit after 1 week, and 88 were treated with fluoxetine. Internal consistency for the CDRS-R was good at all three visits (screening: 0.79; baseline: 0.74; exit: 0.92), and total score was highly correlated with global severity (r = 0.87, 0.80, and 0.93; p < 0.01). Only exit CDRS-R score was significantly correlated with global functioning (Children's Global Assessment Scale; r = -0.77; p < 0.01). Reductions on the CDRS-R total score were highly correlated with improvement scores at exit (Clinical Global Impressions-Improvement; r = -0.83; p < 0.01). CONCLUSIONS: The results demonstrate good reliability and validity in adolescents with depression.