ABSTRACT
Objective:To explore the influence of social-psychological factors on outcome of joint rehabilitation. Methods:From October, 2015 to April, 2017, 64 inpatients accepting joint rehabilitation were divided into anxiety group and non-anxiety group, and depression group and non-depression group, according to the scores of Hamilton Anxiety Scale and Hamilton Depression Scale. They were assessed with routine joint scores as initial and final stages of joint rehabilitation, as well as Symptom Checklist-90 (SCL-90) and World Health Organization Disability Assessment Schedule 2.0 (WHO-DAS 2.0). The correlation of joint scores to scores of SCL-90 and WHO-DAS 2.0 was analyzed with Spearman correlation analysis. Results:There were significant differences in joint scores between the depression and the non-depression groups initially and finally (|t| > 2.106, P < 0.05). The joint score at the initial stage was negatively correlated with the interpersonal factor score of SCL-90 (r = -0.257, P < 0.05). The joint score at the final stage was negatively correlated (P < 0.05) with the dimension one (r = -0.257) and four (r = -0.278) of WHO-DAS 2.0, total score (r = -0.263), and interpersonal (r = -0.328) and hostile (r = -0.385) factor scores of SCL-90. Improvement of joint score negative correlated with dimension one of WHO-DAS 2.0 score (r = -0.249, P < 0.05). Conclusion:The social-psychological factors affect the outcome of joint rehabilitation. It is necessary to explore the way to take the the social-psychological assessment into the routine three stage evaluation of the joint rehabilitation protocol.
ABSTRACT
<p><b>OBJECTIVE</b>To map the candidate gene by linkage analysis in a Chinese family with autosomal dominant congenital retinaochoroidal coloboma.</p><p><b>METHODS</b>A detailed clinical examination was performed for all patients in the family. The genomic DNA of all family members was extracted from peripheral blood leukocytes. Linkage analysis and genome-wide linkage screening was conducted using fluorescent detection of 398 microsatellite markers representing all autosomes at an average resolution of approximately 10 cM. Polymerase chain reaction was carried out to amplify all 398 microsatellite markers. The allele sizes were determined on ABI 3130-Avant genetic analyzer according to an internal size standard, and the results were analyzed using Genescan 3.1 and Genotyper 2.0 software.</p><p><b>RESULTS</b>Linkage analysis showed the markers D2S2382-D2S301-D2S2244-D2S163 co-segregated with the disease locus in all affected members. The maximum Lod score was 3.01(D2S2382).</p><p><b>CONCLUSION</b>The candidate region of the disease gene in the family was located in 2q34-2q35.</p>