Clinical Characteristics of People in Randomized Clinical Trials of First Episode Schizophrenia Spectrum Disorders: Attrition versus Non-Attrition Groups

Thesis advisor: Judith Shindul-RothschildClinical Characteristics Of People In Randomized Clinical Trials Of First Episode Schizophrenia Spectrum Disorders: Attrition Versus Non-Attrition Groups Submitted by Joanne D. Wojcik PhD, RN Dissertation Advisor Judith Shindul-Rothschild, PhD, RN Abstract Background: Early identification of psychosis and intensive treatment has been the focus of the treatment of people with a first episode (FE) schizophrenia spectrum disorder (SSD). Attrition rates in studies of people in the first episode are high, which makes it difficult to understand the meaning of the study outcomes. High attrition rates affect the validity of a study by decreasing its power and the study's ability to detect differences between treatment groups. Additionally, the people who leave a study may be different from those who stay in demographic, illness and treatment characteristics. Method: This study is a secondary analysis of a group of FE SSD participants enrolled in one of three separate double-blind, randomized, drug trials. The variables were first analyzed across the three drug study data sets to determine if the patient populations are comparable across the three studies to allow for the merging of the data. Exploratory and descriptive statistics of study participants were conducted in a comparison of the three studies, for the merged group, and for the attrition and non-attrition groups. Effect sizes (Cohen's d) were calculated for each variable in the individual studies and in the merged dataset for the magnitude of difference between the attrition and non-attrition groups. Results: The three studies were merged after analysis found no consistent difference in demographic and illness characteristics between the three studies. There was no significant difference between the attrition and non-attrition groups in the merged data in demographic and illness characteristics. Treatment characteristics consistently found lack of efficacy and patient withdrawal of consent to be the two most frequent reasons for attrition from the studies. In addition, participants receiving a typical agent were less likely to complete the study. Effect size calculations found attrition group to more likely be Caucasian, with a lower median income. The attrition group had more years of education, but was not in school in the year previous to hospitalization. Conclusion: Historically, attrition is a major problem in clinical trials of people in a first episode of schizophrenia spectrum disorders. People receiving typical antipsychotic medication are more likely to leave a study. Most common reasons for attrition include lack of efficacy and withdrawal of consentThesis (PhD) — Boston College, 2009.Submitted to: Boston College. Connell School of Nursing.Discipline: Nursing

Impact of COVID-19 on Emergency Medicine Residency Programs: A Cross-Sectional Study in New York State

Introduction: The 2019 novel coronavirus pandemic has caused significant disruptions in the clinical operations of hospitals as well as clinical education, training, and research at academic centers. New York State was among the first and largest epicenters of the pandemic, resulting in significant disruptions across its 29 emergency medicine (EM) residency programs. We conducted a cross-sectional observational study of EM residency programs in New York State to assess the impact of the pandemic on resident education and training programs.Methods: We surveyed a cross-sectional sample of residency programs throughout New York State in June 2020, in the timeframe immediately after the state’s first “wave” of the pandemic. The survey was distributed to program leadership and elicited information on pandemic-prompted curricular modifications and other educational changes. The survey covered topics related to disruptions in medical education and sought details on solutions to educational issues encountered by programs.Results: Of the 29 accredited EM residency programs in New York State, leadership from 22 (76%) responded. Of these participating programs, 11 (50%) experienced high pandemic impact on clinical services, 21 (95%) canceled their own trainees’ off-service rotations, 22 (100%) canceled or postponed visiting medical student rotations, 22 (100%) adopted virtual conference formats (most within the first week of the pandemic wave), and 11 (50%) stopped all prospective research (excluding COVID-19 research), while most programs continued retrospective research.Conclusion: This study highlights the profound educational impact of the pandemic on residency programs in one of the hardest- and earliest-hit regions in the United States. Specifically, it highlights the ubiquity of virtual conferencing, the significant impact on research, and the concerns about canceled rotations and missed training opportunities for residents, as well as prehospital and non-physician practitioner trainees. This data should be used to prompt discussion regarding the necessity of alternate educational modalities for pandemic times and the sequelae of implementing these plans

Frequency and pattern of childhood symptom onset reported by first episode schizophrenia and clinical high risk youth

BACKGROUND: Psychosis prevention and early intervention efforts in schizophrenia have focused increasingly on sub-threshold psychotic symptoms in adolescents and young adults. Although many youth report symptom onset prior to adolescence, the childhood incidence of prodromal-level symptoms in those with schizophrenia or related psychoses is largely unknown. METHODS: This study reports on the retrospective recall of prodromal-level symptoms from 40 participants in a first-episode of schizophrenia (FES) and 40 participants at clinical high risk (CHR) for psychosis. Onset of positive and non-specific symptoms was captured using the Structured Interview for Prodromal Syndromes. Frequencies are reported according to onset during childhood (prior to age 13), adolescence (13-17), or adulthood (18+). RESULTS: Childhood-onset of attenuated psychotic symptoms was not rare. At least 11% of FES and 23% of CHR reported specific recall of childhood-onset of unusual or delusional ideas, suspiciousness, or perceptual abnormalities. Most recalled experiencing non-specific symptoms prior to positive symptoms. CHR and FES did not differ significantly in the timing of positive and non-specific symptom onset. Other than being younger at assessment, those with childhood onset did not differ demographically from those with later onset. CONCLUSION: Childhood-onset of initial psychotic-like symptoms may be more common than previous research has suggested. Improved characterization of these symptoms and a focus on their predictive value for subsequent schizophrenia and other major psychoses are needed to facilitate screening of children presenting with attenuated psychotic symptoms. Accurate detection of prodromal symptoms in children might facilitate even earlier intervention and the potential to alter pre-illness trajectories

At Least Bias Is Bipartisan: A Meta-Analytic Comparison of Partisan Bias in Liberals and Conservatives

Both liberals and conservatives accuse their political opponents of partisan bias, but is there empirical evidence that one side of the political aisle is indeed more biased than the other? To address this question, we meta-analyzed the results of 51 experimental studies, involving over 18,000 participants, that examined one form of partisan bias—the tendency to evaluate otherwise identical information more favorably when it supports one’s political beliefs or allegiances than when it challenges those beliefs or allegiances. Two hypotheses based on previous literature were tested: an asymmetry hypothesis (predicting greater partisan bias in conservatives than in liberals) and a symmetry hypothesis (predicting equal levels of partisan bias in liberals and conservatives). Mean overall partisan bias was robust (r = .245), and there was strong support for the symmetry hypothesis: Liberals (r = .235) and conservatives (r = .255) showed no difference in mean levels of bias across studies. Moderator analyses reveal this pattern to be consistent across a number of different methodological variations and political topics. Implications of the current findings for the ongoing ideological symmetry debate and the role of partisan bias in scientific discourse and political conflict are discussed

Cognitive deficits, clinical variables, and white matter microstructure in schizophrenia: a multisite harmonization study.

Cognitive deficits are among the best predictors of real-world functioning in schizophrenia. However, our understanding of how cognitive deficits relate to neuropathology and clinical presentation over the disease lifespan is limited. Here, we combine multi-site, harmonized cognitive, imaging, demographic, and clinical data from over 900 individuals to characterize a) cognitive deficits across the schizophrenia lifespan and b) the association between cognitive deficits, clinical presentation, and white matter (WM) microstructure. Multimodal harmonization was accomplished using T-scores for cognitive data, previously reported standardization methods for demographic and clinical data, and an established harmonization method for imaging data. We applied t-tests and correlation analysis to describe cognitive deficits in individuals with schizophrenia. We then calculated whole-brain WM fractional anisotropy (FA) and utilized regression-mediation analyses to model the association between diagnosis, FA, and cognitive deficits. We observed pronounced cognitive deficits in individuals with schizophrenia (p < 0.006), associated with more positive symptoms and medication dosage. Regression-mediation analyses showed that WM microstructure mediated the association between schizophrenia and language/processing speed/working memory/non-verbal memory. In addition, processing speed mediated the influence of diagnosis and WM microstructure on the other cognitive domains. Our study highlights the critical role of cognitive deficits in schizophrenia. We further show that WM is crucial when trying to understand the role of cognitive deficits, given that it explains the association between schizophrenia and cognitive deficits (directly and via processing speed)

Elucidating the relationship between white matter structure, demographic, and clinical variables in schizophrenia-a multicenter harmonized diffusion tensor imaging study.

White matter (WM) abnormalities are repeatedly demonstrated across the schizophrenia time-course. However, our understanding of how demographic and clinical variables interact, influence, or are dependent on WM pathologies is limited. The most well-known barriers to progress are heterogeneous findings due to small sample sizes and the confounding influence of age on WM. The present study leverages access to the harmonized diffusion magnetic-resonance-imaging data and standardized clinical data from 13 international sites (597 schizophrenia patients (SCZ)). Fractional anisotropy (FA) values for all major WM structures in patients were predicted based on FA models estimated from a healthy population (n = 492). We utilized the deviations between predicted and real FA values to answer three essential questions. (1) "Which clinical variables explain WM abnormalities?". (2) "Does the degree of WM abnormalities predict symptom severity?". (3) "Does sex influence any of those relationships?". Regression and mediator analyses revealed that a longer duration-of-illness is associated with more severe WM abnormalities in several tracts. In addition, they demonstrated that a higher antipsychotic medication dose is related to more severe corpus callosum abnormalities. A structural equation model revealed that patients with more WM abnormalities display higher symptom severity. Last, the results exhibited sex-specificity. Males showed a stronger association between duration-of-illness and WM abnormalities. Females presented a stronger association between WM abnormalities and symptom severity, with IQ impacting this relationship. Our findings provide clear evidence for the interaction of demographic, clinical, and behavioral variables with WM pathology in SCZ. Our results also point to the need for longitudinal studies, directly investigating the casualty and sex-specificity of these relationships, as well as the impact of cognitive resiliency on structure-function relationships