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Biomedical subjects

Kathy Shores-Wilson

Publications and source records attributed to Kathy Shores-Wilson.

27 records · Page 2Linked to original sources

Clinical correlates and symptom patterns of anxious depression among patients with major depressive disorder in STAR*D.

BACKGROUND: Anxious depression, defined as Major Depressive Disorder (MDD) with high levels of anxiety symptoms, may represent a relatively common depressive subtype, with distinctive features. OBJECTIVE: The objective of this study was to determine the prevalence of anxious depression and to define its clinical correlates and symptom patterns. METHOD: Baseline clinical and sociodemographic data were collected on 1450 subjects participating in the STAR*D study. A baseline Hamilton Rating Scale for Depression (HAM-D) Anxiety/ Somatization factor score of > or =7 was considered indicative of anxious depression. The types and degree of concurrent psychiatric symptoms were measured using the Psychiatric Diagnostic Screening Questionnaire (PDSQ), by recording the number of items endorsed by study participants for each diagnostic category. MDD symptoms were assessed by clinical telephone interview with the 30-item Inventory of Depressive Symptomatology (IDS-C30). RESULTS: The prevalence of anxious depression in this population was 46 %. Patients with anxious MDD were significantly more likely to be older, unemployed, less educated, more severely depressed, and to have suicidal ideation before and after adjustment for severity of depression. As far as concurrent psychiatric symptoms are concerned, patients with anxious depression were significantly more likely to endorse symptoms related to generalized anxiety, obsessive compulsive, panic, post-traumatic stress, agoraphobia, hypochondriasis, and somatoform disorders before and after adjustment for severity of depression. Anxious-depression individuals were also significantly less likely to endorse IDS-C30 items concerning atypical features, and were significantly more likely to endorse items concerning melancholic/endogenous depression features. CONCLUSION: This study supports specific clinical and sociodemographic correlates of MDD associated with high levels of anxiety (anxious depression).

Adolescent↗

The Texas medication algorithm project: clinical results for schizophrenia.

In the Texas Medication Algorithm Project (TMAP), patients were given algorithm-guided treatment (ALGO) or treatment as usual (TAU). The ALGO intervention included a clinical coordinator to assist the physicians and administer a patient and family education program. The primary comparison in the schizophrenia module of TMAP was between patients seen in clinics in which ALGO was used (n = 165) and patients seen in clinics in which no algorithms were used (n = 144). A third group of patients, seen in clinics using an algorithm for bipolar or major depressive disorder but not for schizophrenia, was also studied (n = 156). The ALGO group had modestly greater improvement in symptoms (Brief Psychiatric Rating Scale) during the first quarter of treatment. The TAU group caught up by the end of 12 months. Cognitive functions were more improved in ALGO than in TAU at 3 months, and this difference was greater at 9 months (the final cognitive assessment). In secondary comparisons of ALGO with the second TAU group, the greater improvement in cognitive functioning was again noted, but the initial symptom difference was not significant.

Adolescent↗

Web-based communications and management of a multi-center clinical trial: the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project.

While efficient methods of communication are known to be essential in conducting large multicenter clinical trials, very little information is provided on actual methods that can be implemented to improve communication. An integrated technology-based communication system was developed for the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) project, which prospectively defines treatments that are most effective for participants with a diagnosis of a nonpsychotic major depressive disorder (MDD) who report an unsatisfactory clinical outcome to an initial and, if necessary, subsequent treatment(s). This web-based communication system is comprised of a multi-faceted study Web site, including a help desk, document sharing, a project directory and reports. In addition, automated reporting via e-mail and an online data correction mechanism are also available. The STAR*D communication system improves communication between study personnel and improves the quality of the study's data through the integration of system elements, the integration of those elements with traditional forms of communication,, by filling the gaps not addressed by those traditional methods and by reducing the staff workload burden.

Clinical Trials as Topic↗

Clinician ratings vs. global ratings of symptom severity: a comparison of symptom measures in the bipolar disorder module, phase II, Texas Medication Algorithm Project.

This study compares ratings obtained with an itemized, clinician-rated, symptom severity measure--the 24-item Brief Psychiatric Rating Scale (BPRS(24))--to a Physician Global Rating Scale (PhGRS), a Patient Global Rating Scale (PtGRS) and the clinician-completed Multnomah Community Ability Scale (MCAS) in patients with bipolar disorder (BPD). A total of 69 patients (25 inpatients and 44 outpatients) with BPD were enrolled in a feasibility study of the use of medication algorithms in the treatment of BPD. Clinicians at each visit completed the BPRS(24), PhGRS and MCAS, and patients completed the PtGRS. Analyses compared the BPRS(24) and BPRS subscales with the PtGRS, PhGRS and MCAS. PtGRS scores correlated poorly with BPRS(24) and with PhGRS scores at baseline, although PtGRS change scores correlated moderately with BPRS(24) change scores. Baseline BPRS(24) and PhGRS scores correlated moderately at baseline with somewhat stronger correlations found on change scores for the two measures. MCAS scores showed moderate correlations with BPRS(24) scores both at baseline and with change over time. Global assessments by patients or physicians only moderately or poorly reflected BPRS(24) scores. Itemized symptom measures to gauge severity of illness or change over time are preferred over patient or physician global judgments.

Adult↗

Texas Medication Algorithm Project, phase 3 (TMAP-3): rationale and study design.

BACKGROUND: Medication treatment algorithms may improve clinical outcomes, uniformity of treatment, quality of care, and efficiency. However, such benefits have never been evaluated for patients with severe, persistent mental illnesses. This study compared clinical and economic outcomes of an algorithm-driven disease management program (ALGO) with treatment-as-usual (TAU) for adults with DSM-IV schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) treated in public mental health outpatient clinics in Texas. DISCUSSION: The disorder-specific intervention ALGO included a consensually derived and feasibility-tested medication algorithm, a patient/family educational program, ongoing physician training and consultation, a uniform medical documentation system with routine assessment of symptoms and side effects at each clinic visit to guide ALGO implementation, and prompting by on-site clinical coordinators. A total of 19 clinics from 7 local authorities were matched by authority and urban status, such that 4 clinics each offered ALGO for only 1 disorder (SCZ, BD, or MDD). The remaining 7 TAU clinics offered no ALGO and thus served as controls (TAUnonALGO). To determine if ALGO for one disorder impacted care for another disorder within the same clinic ("culture effect"), additional TAU subjects were selected from 4 of the ALGO clinics offering ALGO for another disorder (TAUinALGO). Patient entry occurred over 13 months, beginning March 1998 and concluding with the final active patient visit in April 2000. Research outcomes assessed at baseline and periodically for at least 1 year included (1) symptoms, (2) functioning, (3) cognitive functioning (for SCZ), (4) medication side effects, (5) patient satisfaction, (6) physician satisfaction, (7) quality of life, (8) frequency of contacts with criminal justice and state welfare system, (9) mental health and medical service utilization and cost, and (10) alcohol and substance abuse and supplemental substance use information. Analyses were based on hierarchical linear models designed to test for initial changes and growth in differences between ALGO and TAU patients over time in this matched clinic design.

Adolescent↗

Texas Medication Algorithm Project, phase 3 (TMAP-3): clinical results for patients with a history of mania.

BACKGROUND: The Texas Medication Algorithm Project (TMAP) assessed the clinical and economic impact of algorithm-driven treatment (ALGO) as compared with treatment-as-usual (TAU) in patients served in public mental health centers. This report presents clinical outcomes in patients with a history of mania (BD), including bipolar I and schizoaffective disorder, bipolar type, during 12 months of treatment beginning March 1998 and ending with the final active patient visit in April 2000. METHOD: Patients were diagnosed with bipolar I disorder or schizoaffective disorder, bipolar type, according to DSM-IV criteria. ALGO was comprised of a medication algorithm and manual to guide treatment decisions. Physicians and clinical coordinators received training and expert consultation throughout the project. ALGO also provided a disorder-specific patient and family education package. TAU clinics had no exposure to the medication algorithms. Quarterly outcome evaluations were obtained by independent raters. Hierarchical linear modeling, based on a declining effects model, was used to assess clinical outcome of ALGO versus TAU. RESULTS: ALGO and TAU patients showed significant initial decreases in symptoms (p =.03 and p <.001, respectively) measured by the 24-item Brief Psychiatric Rating Scale (BPRS-24) at the 3-month assessment interval, with significantly greater effects for the ALGO group. Limited catch-up by TAU was observed over the remaining 3 quarters. Differences were also observed in measures of mania and psychosis but not in depression, side-effect burden, or functioning. CONCLUSION: For patients with a history of mania, relative to TAU, the ALGO intervention package was associated with greater initial and sustained improvement on the primary clinical outcome measure, the BPRS-24, and the secondary outcome measure, the Clinician-Administered Rating Scale for Mania (CARS-M). Further research is planned to clarify which elements of the ALGO package contributed to this between-group difference.

Adolescent↗

Itemized clinician ratings versus global ratings of symptom severity in patients with schizophrenia.

This study compares ratings obtained with an itemized clinician-rated symptom severity measure--the 24-item Brief Psychiatric Rating Scale (BPRS24)--with a Physician Global Rating Scale (PhGRS) and a Patient Global Rating Scale (PtGRS) in assessing treatment outcomes in patients with schizophrenia (SCZ). A total of 91 patients (31 inpatients and 60 outpatients) with SCZ were enrolled in a feasibility study of the use of medication algorithms in the treatment of SCZ. Clinicians completed the BPRS24 and the PhGRS; patients completed the PtGRS at each visit. The analyses reported here were conducted using the original BPRS18 and four items from the BPRS18 that rate the positive symptoms of psychosis (the Positive Symptom Rating Scale or PSRS), comparing anchored with global rating scales and with one another. The PtGRS had the lowest effect size (0.8) and was negatively correlated with the other ratings in inpatients. The PhGRS was significantly correlated (0.46) with the BPRS18, but the same person completed both ratings. The effect size of the PhGRS (0.6) was generally lower than with the BPRS18 (1.4) in differentiating responders from non-responders. On average, the PSRS had a slightly lower effect size than the longer itemized BPRS18, but the results support its use as a quantitative rating in circumstances where it is not feasible to routinely use a lengthier scale.

Adolescent↗

Substance use disorder comorbidity in major depressive disorder: an exploratory analysis of the Sequenced Treatment Alternatives to Relieve Depression cohort.

Patients with major depressive disorder (MDD) often present with concurrent substance use disorders (SUD) involving alcohol and/or illicit drugs. This analysis compares the depressive symptomatic presentation and a range of clinical and demographic features of patients with MDD and concurrent SUD symptoms vs those without SUD symptoms, to clarify how these two differ and to determine whether concurrent SUD symptoms may alter the clinical presentation of MDD. The first 1500 outpatients with nonpsychotic MDD enrolled in the Sequenced Treatment Alternatives to Relieve Depression study were divided into those with and without concurrent SUD symptoms as ascertained by a self-report instrument, the Psychiatric Diagnostic Screening Questionnaire (PDSQ). Of the 1484 cases with completed baseline PDSQ, 28% (n = 419) of patients with MDD were found to endorse symptoms consistent with current SUD. Patients with symptoms consistent with SUD were more likely to be men (P < .0001), to be either divorced or never married (P = .018), to have a younger age of onset of depression (P = .014), and to have a higher rate of previous suicide attempts (P = .014) than those without SUD symptoms. Patients with major depressive disorder who have symptoms consistent with SUD endorsed greater functional impairment attributable to their illness than those without concurrent SUD symptoms (P = .0111). The presence of SUD symptoms did not alter the overall depressive symptom pattern of presentation, except that the dual-diagnosed patients had higher levels of hypersomnia (P = .006), anxious mood (P = .047), and suicidal ideation (P = .036) compared to those without SUD symptoms. In conclusion, gender, marital status, age of onset of major depression, functional impairment, and suicide risk factors differ in depressed patients with concurrent SUD symptoms compared to those without SUD comorbidity.

Adult↗

Methods of testing feasibility for sequenced treatment alternatives to relieve depression (STAR*D).

In large multi-site trials, a feasibility or pilot study can be crucial to test the functionality of all aspects of conducting the study prior to the initiation of the formal study. A feasibility trial was conducted for the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Project, a multi-site, prospective, sequentially randomized, clinical trial of outpatients with nonpsychotic major depressive disorder. From 14 December 2000 to 8 June 2001, 42 patients were screened for enrollment into the STAR*D Feasibility Trial. Twenty-four patients who were eligible and consented to participate were treated with citalopram for up to 12 weeks. During the course of this trial, issues were raised that resulted in modifications to the study procedures. Modifications made as a result of this trial affected four domains: (1) communication, (2) patient and provider burden, (3) data collection forms, and (4) recruitment and retention of subjects. This paper describes what was learned during the STAR*D Feasibility Trial so researchers planning to conduct similar trials can learn the practical issues related to conducting such a research project. While the information gathered was useful, it did delay the initiation of the formal trial. We view this cost as an investment in the development of overall study procedures that should lead to a stronger study.

Clinical Trials as Topic↗