Isolation and Identification of Different Sources of Salmonella and Comparisons on the Drug Resistance Spectrum Types

[ Objective] In order to make out differences between drug resistance spectrum types of different animal sources of Salmonella. [ Meth- otis] Selenite cystine broth, Salmonella- Shigella genus agar medium, CHROMagar Salmonella chromogenic culture, Reveal Salmonella detection kit and molecular biology methods were used for isolation and identification of Salmonella from different animal feces samples. Antibacterialantimi- crobial susceptibility tests of 17 kinds of drugs such as enrofloxacin, apramycin and florfenicol were done on isolated strains with broth microdilution method, and test data was analysed with WHOnet 5.4 software. [ Results ] 699 feces samples from different animals were separated, and 53 strains of Salmonella were achieved with separation rate of 7.58%, among which those of yak, poultry, and pet sources were respectively 4.33%, 9.06% and 8.37%. [ Condusions] Separation rates and drug resistance spectrum types of different animal origin Salmonella varied greatly, among which separation rates and drug resistance spectrum types of yak source Salmonella were the lowest, there was little difference between separation rates of poultry and dog source Salmonella, however there were large differences on drug resistance spectrum types.

Demographic, Clinical and Biochemical Characteristics of Drug Naive Type 2 Diabetes Patients of Bangladesh

Background: Although the frequencies of getting drug naive type 2 diabetes patients among all the diabetic patients are very low, nowadays it claims more attention in the treatment procedures of drug naive diabetic patients. But in Bangladesh, we have very few research-oriented data regarding the demographic, clinical and biochemical characteristics of drug naive type 2 diabetes patients. The aim of this study was to determine the demographic clinical and biochemical characteristics of drug naive type 2 diabetes patients of Bangladesh. Methods: This was an open label observational real-life study which was conducted in the chambers of the investigators in several places of Bangladesh as outdoor setting during the period from August 2020 to December 2020. In total, 250 patients with drug naive type 2 diabetes mellitus were enrolled as the study population. Proper written consents were taken from all the participants before starting data collection. A pre-designed questionnaire was used in patient data collection. All data were processed, analyzed and disseminated by MS Office and SPSS version as per need. Result: Two hundred and fifty (250) participants were selected as study population. The male-female ratio of the participants was 1.4:1. The highest number of participants was from 51 - 60 years’ age group (31.20%). The highest number of participants (41%) was with overweight (BMI: 25 - 30 kg/m2). Majority (65%) of the patients of this study suffered from diabetes for ≤5 years. The mean (±SD) SBP of the participants was 137.25 ± 17.50 mmHg and the mean (±SD) DBP of the participants was 85.16 ± 13.39 mmHg. We found the mean (±SD) fasting blood sugar (mg/dl), post prandial blood sugar (mg/dl), total cholesterol (mg/dl), triglycerides (mg/dl), HDL-Cholesterol (mg/dl), LDL-cholesterol (mg/dl), VLDL-cholesterol (mg/dl), uric acid (mg/dl), creatinine (mg/dl), urea (mg/dl), total bilirubin (mg/dl), direct bilirubin (mg/dl), SGOT (IU/L) and SGPT (IU/L) were 251.51 ± 112.08, 349.72 ± 128.68, 219.59 ± 68.25, 196.44 ± 94.34, 35.14 ± 11.85, 145.72 ± 64.33, 40.88 ± 18.12, 3.45 ± 1.51, 0.86 ± 0.37, 29.16 ± 9.81, 0.87 ± 0.4, 0.48 ± 0.4, 37.15 ± 10.9 and 35.83 ± 23.04 respectively. Conclusion: Obesity and hypertension demand more attention of diabetologists in diagnosis and treatment of patients or suspected patients of diabetes. Patients aged ≥ 50 years are most vulnerable and suspicious for diabetes. Besides age consequence habits of tobacco smoking, family history, smoking and HTN, alcohol intake and presence of nitrites in the urine may be considered as the most potential comorbidities for diabetic patients. Diagnosis of demographic, clinical and biochemical characteristics of drug naive type 2 diabetes patients may play a vital role in proper treatment.