<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">The goal of the study was to assess the prescribing pattern, pattern of skin diseases among the patients and to assess the impact of quality of life in various Skin diseases of dermatological patients by using dermatological quality life index (DLQI). The present study aims at improving the patient’s knowledge towards their disease and medication and also to measure the improvement of Quality of life of patients.</span></p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">A prospective observational study was carried out for a period of six months at Department of Dermatology Basaveshwara Medical College and Hospital, Chitradurga</span>.<strong></strong></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">Total 150 patients are included. 58 was males and 92 were females. The most skin disease is seen in the age group of 21-40 (40.7%). Majorly skin disease are seen in the illiterate people is (62%), (70.7%) married and 15.3% of socio-economic status of the patients. The major skin disease are seen in the study are psoriasis (12.66%), scabies (16.66%), dermatitis (9.33) and followed by urticaria (6.66%), eczema (4.66%), acne (5.33%). Anti-histamines (16.6%), emollients (9.33%), corticosteroids (9.33%), anti puritics (6.66%), kerotolyte (6.66%) are majorly prescribed drugs. The study showed that there was an extremely significant improvement in DLQI of patients in comparison with first visit result and follow up visit. Whose P value is (<0.001) extremely significant. </span></p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">Therefore the pharmacist patient education found to have significant influence on improves the patient knowledge towards their disease and medication which shows the positive impact on quality of life among the patients of skin diseases.</span></p>
Cardiovascular diseases (CVD) are worldwide threat to human health, resulting in the highest mortality among all causes of death. The effect of therapeutic medicines for CVD varies greatly among people because of their different genetic background. In order to evaluate the necessity of having genetic testing before taking medicines in CVD patients, 19 SNPs influencing the metabolism of frequently-used anti-CVD drugs were selected and detected in 237 CVD patients by PCR-LDR method. The results showed that the genotypic distribution of most SNPs met the Hardy-Weinberg principle. The allelic distribution of the SNPs in the tested samples was similar to that in Chinese population. 78 percent of these patients carried at least one allele that affected the efficacy of the medicines. The accuracy of the PCR-LDR detection for the clinical samples was comparable to that of Sanger sequencing, and with higher multiplexity and lower cost.
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