Enhancing Low-Intensity Coaching in Parent Implemented Early Start Denver Model Intervention for Early Autism: A Randomized Comparison Treatment Trial.

Short-term low intensity parent implemented intervention studies for toddlers with autism spectrum disorder (ASD) have found it difficult to demonstrate significantly improved developmental scores or autism severity compared to community treatment. We conducted a randomized comparative intent-to-treat study of a parent implemented intervention to (1) test the effects of an enhanced version on parent and child learning, and (2) evaluate the sensitivity to change of proximal versus distal measures of child behavior. We randomized 45 children with ASD, 12-30 months of age, into one of two versions of parent-implemented Early Start Denver Model (P-ESDM), the basic model, in which we delivered 1.5 h of clinic-based parent coaching weekly, and an enhanced version that contained three additions: motivational interviewing, multimodal learning tools, and a weekly 1.5-h home visit. We delivered the intervention for 12 weeks and measured child and parent change frequently in multiple settings. We found a time-by-group interaction: parents in the enhanced group demonstrated significantly greater gains in interaction skills than did parents in the non-enhanced group. Both interventions were associated with significant developmental acceleration; however, child outcomes did not differ by group. We found a significant relationship between degree of change in parental interaction skill and rate of children's improvement on our proximal measure. Parents in both groups reported satisfaction with the intervention. These findings suggest that parent skills improved more in the enhanced group than the comparison group. Children in the two groups showed similar improvements. Rate of individual parent learning was associated with greater individual child progress on a measure quite proximal to the treatment, though not on standardized assessments.

Avoidant personality disorder symptoms in first-degree relatives of schizophrenia patients predict performance on neurocognitive measures: the UCLA family study.

Whether avoidant personality disorder symptoms are related to neurocognitive impairments that aggregate in relatives of schizophrenics is unknown. We report the relationship between avoidant personality disorder symptoms and neurocognitive performance in the first-degree relatives of probands with schizophrenia. 367 first-degree relatives of probands with schizophrenia and 245 relatives of community controls were interviewed for the presence of avoidant personality symptoms and symptoms of paranoid and schizotypal personality disorders and administered neurocognitive measures. Relationships between neurocognitive measures and avoidant symptoms were analyzed using linear mixed models. Avoidant dimensional scores predicted performance on the span of apprehension (SPAN), 3-7 Continuous Performance Test (3-7 CPT), and Trail Making Test (TMT-B) in schizophrenia relatives. These relationships remained significant on the SPAN even after adjustment for paranoid or schizotypal dimensional scores and on the TMT-B after adjustment for paranoid dimensional scores. Moreover, in a second set of analyses comparing schizophrenia relatives to controls there were significant or trending differences in the degree of the relationship between avoidant symptoms and each of these neurocognitive measures even after adjustments for paranoid and schizotypal dimensional scores. The substantial correlation between avoidant and schizotypal symptoms suggests that these personality disorders are not independent. Avoidant and in some cases schizotypal dimensional scores are significant predictors of variability in these neurocognitive measures. In all analyses, higher levels of avoidant symptoms were associated with worse performance on the neurocognitive measures in relatives of schizophrenia probands. These results support the hypothesis that avoidant personality disorder may be a schizophrenia spectrum phenotype.

Theory of mind deficits for processing counterfactual information in persons with chronic schizophrenia.

BACKGROUND: Interpersonal communication problems are common among persons with schizophrenia and may be linked, in part, to deficits in theory of mind (ToM), the ability to accurately perceive the attitudes, beliefs and intentions of others. Particular difficulties might be expected in the processing of counterfactual information such as sarcasm or lies. METHOD: The present study included 50 schizophrenia or schizo-affective out-patients and 44 demographically comparable healthy adults who were administered Part III of The Awareness of Social Inference Test (TASIT; a measure assessing comprehension of sarcasm versus lies) as well as measures of positive and negative symptoms and community functioning. RESULTS: TASIT data were analyzed using a 2 (group: patients versus healthy adults) x 2 (condition: sarcasm versus lie) repeated-measures ANOVA. The results show significant effects for group, condition, and the group x condition interaction. Compared to controls, patients performed significantly worse on sarcasm but not lie scenes. Within-group contrasts showed that patients performed significantly worse on sarcasm versus lie scenes; controls performed comparably on both. In patients, performance on TASIT showed a significant correlation with positive, but not negative, symptoms. The group and interaction effects remained significant when rerun with a subset of patients with low-level positive symptoms. The findings for a relationship between TASIT performance and community functioning were essentially negative. CONCLUSIONS: The findings replicate a prior demonstration of difficulty in the comprehension of sarcasm using a different test, but are not consistent with previous studies showing global ToM deficits in schizophrenia.

The herpesvirus-Porphyromonas gingivalis-periodontitis axis.

OBJECTIVES AND BACKGROUND: Members of the herpesvirus family have accumulated considerable support for a role in severe types of periodontitis. This study aimed to examine whether human cytomegalovirus (HCMV), Epstein-Barr virus type 1 (EBV-1) or herpes simplex virus (HSV) together with the major periodontopathic bacterium Porphyromonas gingivalis might interact in the pathogenesis of periodontal breakdown. METHODS: Sixteen subjects each contributed paper point samples from two progressing and two stable periodontitis lesions, as determined by ongoing loss of probing attachment. Polymerase chain reaction methodology was used to identify subgingival herpesviruses, P. gingivalis and other bacterial pathogens. Chi-squared tests and multivariate logistic regression were employed to identify statistical associations between herpesviruses, periodontopathic bacteria and clinical variables. RESULTS: HCMV and HSV were both significant predictors of the presence of subgingival P. gingivalis. In turn, P. gingivalis was positively associated with periodontitis active disease, probing attachment level, probing pocket depth, gingival bleeding upon probing and patient age. EBV-1 was not linked to P. gingivalis, although the virus was predictive of periodontitis active disease. The periodontitis disease risk associated with herpesvirus-P. gingivalis combinations depended on both site-specific and subject-specific factors. CONCLUSION: The present data of aggressive periodontitis implicate HCMV, HSV and P. gingivalis as either cofactors in its etiology or triggers of relapses. Further studies are needed to determine the spectrum of periodontopathogenicity of herpesviruses and effective management of these viruses in periodontal sites.

Cytomegalovirus periodontal presence is associated with subgingival Dialister pneumosintes and alveolar bone loss.

Destructive periodontal disease is associated with human cytomegalovirus (HCMV), Epstein-Barr type 1 virus (EBV-1) and other members of the Herpesviridae family as well as with various gram-negative anaerobic bacteria, including the Dialister pneumosintes species. This study aimed to determine possible interrelationships between periodontal HCMV, EBV-1, herpes simplex virus and D. pneumosintes, and relate the microbiological findings to periodontitis clinical status. Sixteen subjects each contributed paper point samples from two progressing and two stable periodontitis lesions, as determined by ongoing loss of probing attachment. Polymerase chain reaction methodology was used to identify the study herpesviruses and D. pneumosintes. Chi-squared tests, Fisher exact tests and multivariate logistic regression were employed to identify statistical associations among herpesviruses, bacteria and clinical variables. HCMV, and no other virus or combination of viruses, was positively associated with the presence of D. pneumosintes, and the relationship was specific for individual periodontitis sites with no detectable subject effect. D. pneumosintes was in turn positively associated with periodontal pocket depth and disease-active periodontitis. When the average percentage of alveolar bone loss in all teeth was treated as a response, HCMV remained significant even after D. pneumosintes was included in the model, suggesting that both HCMV and D. pneumosintes affected bone loss or, alternatively, HCMV affected factors not studied that themselves can induce bone loss. We hypothesize that periodontal HCMV sets the stage for subgingival proliferation of D. pneumosintes and subsequent periodontal disease progression. Studies on herpesviral-bacterial interactions may hold great promise for delineating important etio-pathogenic aspects of destructive periodontal disease.

Estimation of utilities for the effects of depression from the SF-12.

BACKGROUND: Utilities for health conditions, including major depressive disorder, have a theoretical relationship to health-related quality of life (HRQOL). Because of the complexity of utility measurement and the existence of large numbers of completed studies with HRQOL data but not utility data, it would be desirable to be able to estimate utilities from measurements of HRQOL. OBJECTIVE: The objective of this study was to estimate utility for remission in major depression by use of information on associated variation in Short Form 12 (SF-12) scores. DESIGN: A mapping function for SF-12 scores (based on a 6-health-state model with patient-weighted preferences) was applied to longitudinal data from a large naturalistic study to estimate changes in utilities. SUBJECTS: Preference ratings for states were performed in a convenience sample of depressed primary care patients (n = 140). Outcomes were evaluated in patients in the Course of Depression Study (n = 295) with a DSM III diagnosis of depression at the onset of the study. MEASURES: From clinical interview data, differences in utilities and global physical and mental health-related quality of life at 1- and 2-year follow-up were compared for patients who did and did not experience remission as determined by the Course of Depression Interview. RESULTS: Remission of depression resulted in health status improvement, as measured by the SF-12, equivalent to a gain of 0.11 quality-adjusted life-years over 2 years. CONCLUSIONS: Utilities for changes in health status, associated with a clinical change in depression, can be modeled from the SF-12 scales, which results in utilities within the range of estimates described in the literature.

Comparison of preferences for health outcomes in schizophrenia among stakeholder groups.

BACKGROUND: To determine the effectiveness of psychiatric interventions for use in cost-effectiveness analysis, we assessed the feasibility of using a multimedia computer survey to study preferences (utilities) for health outcomes among persons with schizophrenia, family members of persons with schizophrenia, health professionals, and the public. METHODS: We developed videos depicting two patterns of mental health impairment in schizophrenia, both with and without pseudo-parkinsonism side-effects. These descriptions were integrated into a computer program that measured preferences using two psychometric methods: (1) standard gamble and (2) a visual analog scale. This program was used to compare preferences among potential stakeholder groups. RESULTS: 20 persons with schizophrenia, 11 family members, 20 healthy volunteers and 14 health professionals participated in the computerized interview. All but one subject completed the survey. The correlation among ratings of various states was high (r=0.7-0.95) and ratings were internally consistent in 89% of participants. There were significant differences in values between groups for health states (p=0.024) and in values for the effects of pseudo-parkinsonism on quality of life (p<0.001). Persons with schizophrenia valued the disease states more highly and placed more significance than did other groups on the effects of pseudo-parkinsonism on quality of life. CONCLUSIONS: Computer-based multimedia techniques can offer a feasible and valid approach to measure preferences for outcomes in schizophrenia. The study found significant differences in preferences among stakeholder groups for schizophrenia outcomes. Further work is needed to clarify how these differences affect clinical decision-making and policies for health resource allocation.

Empirically defined health states for depression from the SF-12.

OBJECTIVE: To define objectively and describe a set of clinically relevant health states that encompass the typical effects of depression on quality of life in an actual patient population. Our model was designed to facilitate the elicitation of patients' and the public's values (utilities) for outcomes of depression. DATA SOURCES: From the depression panel of the Medical Outcomes Study. Data include scores on the 12-Item Short Form Health Survey (SF-12) as well as independently obtained diagnoses of depression for 716 patients. Follow-up information, one year after baseline, was available for 166 of these patients. METHODOLOGY: We use k-means cluster analysis to group the patients according to appropriate dimensions of health derived from the SF-12 scores. Chi-squared and exact permutation tests are used to validate the health states thus obtained, by checking for baseline and longitudinal correlation of cluster membership and clinical diagnosis. PRINCIPAL FINDINGS: We find, on the basis of a combination of statistical and clinical criteria, that six states are optimal for summarizing the range of health experienced by depressed patients. Each state is described in terms of a subject who is typical in a sense that is articulated with our cluster-analytic approach. In all of our models, the relationship between health state membership and clinical diagnosis is highly statistically significant. The models are also sensitive to changes in patients' clinical status over time. CONCLUSIONS: Cluster analysis is demonstrably a powerful methodology for forming clinically valid health states from health status data. The states produced are suitable for the experimental elicitation of preference and analyses of costs and utilities.