Clinical judgement, case complexity and symptom scores as predictors of outcome in depression: an exploratory analysis.

BACKGROUND: Clinical guidelines for depression in adults recommend the use of outcome measures and stepped care models in routine care. Such measures are based on symptom severity, but response to treatment is likely to also be influenced by personal and contextual factors. This observational study of a routine clinical sample sought to examine the extent to which "symptom severity measures" and "complexity measures" assess different aspects of patient experience, and how they might relate to clinical outcomes, including disengagement from treatment. METHODS: Subjects with symptoms of depression (with or without comorbid anxiety) were recruited from people referred to an established Primary Care Mental Health Team using a stepped care model. Each participant completed three baseline symptom measures (the Personal Health Questionnaire (PHQ), Generalised Anxiety Disorder questionnaire (GAD) and Clinical Outcomes in Routine Evaluation (CORE-10)), and two assessments of "case complexity" (the Minnesota-Edinburgh Complexity Assessment Measure (MECAM) and a local complexity assessment). Clinician perception of likely completion of treatment and patient recovery was also assessed. Outcome measures were drop out and clinical improvement on the PHQ. RESULTS: 298 subjects were recruited to the study, of whom 258 had a sufficient dataset available for analysis. Data showed that the three measures of symptom severity used in this study (PHQ, GAD and CORE-10) seemed to be measuring distinct characteristics from those associated with the measures of case complexity (MECAM, previous and current problem count). Higher symptom severity scores were correlated with improved outcomes at the end of treatment, but there was no association between outcome and complexity measures. Clinicians could predict participant drop-out from care with some accuracy, but had no ability to predict outcome from treatment. CONCLUSIONS: These results highlight the extent to which drop-out complicates recovery from depression with or without anxiety in real-world settings, and the need to consider other factors beyond symptom severity in planning care. The findings are discussed in relation to a growing body of literature investigating prognostic indicators in the context of models of collaborative care for depression.

'The psychosocial burden of alopecia areata and androgenetica': a cross-sectional multicentre study among dermatological out-patients in 13 European countries.

BACKGROUND: Hair diseases play an important burden on patients' lives, causing significant emotional and psychosocial distress. However, the impairment due to different hair conditions, such as alopecia areata (AA) and androgenetic alopecia (AGA), has rarely been compared. OBJECTIVE: The aim of this study was to assess the psychological burden of subgroups of patients with different hair diseases and to compare them to a healthy population. METHODS: In this study, we analysed a subgroup of patients with hair diseases from patients of a large multicentre study including 3635 dermatological patients and 1359 controls from 13 European countries. In the subgroup of patients with hair diseases, we analysed the socio-demographic characteristics, the stress level, and the impact of hair diseases on quality of life (QoL), anxiety, and depression and we compared them among patients with AA, AGA and healthy controls. RESULTS: The study population included 115 patients (77% women, 23% men) with hair diseases, 37 of whom with AA and 20 with AGA. Patients with hair diseases had a lower education level than healthy controls (medium educational level: 43% vs. 28%). Overall, 41% of the patients reported stressful life events during the last 6 months compared with 31% of the controls. Patients with the same age, sex, depression level and comorbidities had a worse QoL when suffering from AA than from AGA (Mean Dermatology Life Quality Index score: 5.8 vs. 2.5). CONCLUSION: Patients with hair diseases are more anxious, depressed and have a lower QoL than controls.

Racial differences in the ECG--selected aspects.

INTRODUCTION: Racial differences in the ECG have been known about for many years but there has been no significant comparison of large population groups. This study set out to remedy this shortcoming. METHODS: Digital ECG data were available for four population samples gathered in Scotland, Taiwan, Nigeria and India. All ECGs were recorded in the different countries and processed centrally by the University of Glasgow ECG Analysis Program. Measurements were analysed statistically to look for significant differences. RESULTS: There were 4223 individuals in the study (2559 males and 1664 females). In general terms, findings such as QRS duration being longer in males than females applied to all four races. More specifically, QRS voltages were higher in young black males compared to others, while ST amplitudes, as in V2, were higher in Chinese and Nigerian males than in Caucasians. CONCLUSION: Race requires to be taken into account to enhance automated interpretation of the ECG.

[Artificial nutrition and preoperative fasting]. / La nutrition artificielle et le jeûne préopératoire.

Preoperative fasting is a currently adopted measure since Mendelson's report pertaining to aspiration pneumonia as a cause of death following general anesthesia. From a metabolic point of view fasting is detrimental because surgery in itself causes a state of hypercatabolism and hyperglycemia as a result of insulinresistance. Preoperative fasting has become almost obsolete in certain elective surgical procedures. In these cases the use of clear liquids is now well established and this paper focuses on the safe use of clear fluids, postoperative insulinresistance, patient comfort and postoperative outcome as well as its effect on the length of stay.

Natural progression of blood-induced joint damage in patients with haemophilia: clinical relevance and reproducibility of three-dimensional gait analysis.

SUMMARY: A major complication in haemophilia is the destruction of joint cartilage because of recurrent intraarticular and intramuscular bleeds. Therefore, joint assessment is critical to quantify the extent of joint damage, which has traditionally been evaluated using both radiological and clinical joint scores. Our study aimed to evaluate the natural progression of haemophilic arthopathy using three-dimensional gait analysis (3DGA) and to assess the reproducibility of this technique. We hypothesized that the musculoskeletal function was relatively stable in patients with haemophilia. Eighteen adults with established haemophilic arthropathies were evaluated twice by 3DGA (mean follow-up: 18 +/- 5 weeks). Unexpectedly, our findings revealed infraclinical deterioration of gait pattern, characterized by a 3.2% decrease in the recovery index, which is indicative of the subject's ability to save energy while walking. A tendency towards modification of segmental joint function was also observed. Gait analysis was sufficiently reproducible with regards to spatiotemporal parameters as well as kinetic, mechanical and energetic gait variables. The kinematic variables were reproducible in both the sagittal and frontal planes. In conclusion, 3DGA is a reproducible tool to assess abnormal gait patterns and monitor natural disease progression in haemophilic patients.