scholarly journals Indian diabetes risk profile of employees in a tertiary care facility in north Maharashtra: a cross sectional study

Author(s):  
Shyam V. Ashtekar ◽  
Aryaman Singh ◽  
Manasi S. Padhyegurjar ◽  
Sidrah M. Shaikh ◽  
Abhimanyu R. Kapse ◽  
...  

Background: The rising prevalence of type 2 diabetes (T2D) in India calls for screening of at-risk adults. Objectives were to assess IDRS (Indian diabetes risk score) of T2D in staff in tertiary care hospital, and to assess covariates random blood sugar (RBS), BMI, skinfold thickness (SFT), pre-existing T2D in the employees.Methods: In this cross sectional study, IDRS was used to assess all staff in a tertiary care institute. Anthropometric measurements, BP and RBS were done. Information on parental T2D, cereal intake and weekly physical activity (PA) was obtained in interview.Results: 370 subjects (F-117, M-273) with mean age 30.81 (7.99), BMI 22.89 (14.13) years were screened. Subjects in moderate and sedentary work were 185 each, 15% women and 39% men had higher waist size. Total 5.4% subjects had T2D including known diabetics. RBS in women and men was 113.1 (27.87), 114.7 (27.66), with IDRS score high in 29 (7.84%) and moderate in 144 (38.92%). Parental T2D was present in 19.5% subjects. IDRS risk was strongly associated with type of work (Chi-square 79.0283, df=4, p=0.00). Multiple logistic regression for IDRS risk outcome showed association of age (OR 1.4), BMI (OR1.3), parental T2D (OR 9.6) with highly significant p values. Multiple linear regression for RBS outcome was associated with age (OR 1.3) and BMI (OR 1.4) but the results were statistically not significant.Conclusions: Pooled IDRS risk was present in 47% subjects despite younger age of study population. Improvements in physical activity and reduction in waist size is the need of the hour.

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  

Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  

2020 ◽  
Vol 32 (1) ◽  
Author(s):  
Nearmeen M. Rashad ◽  
Marwa G. Amer ◽  
Waleed M. Reda Ashour ◽  
Hassan M. Hassanin

Abstract Background Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system with varied clinical features. Disease-modifying drugs (DMDs) of MS associated with different types of thyroiditis. In this cross-sectional study, we aimed to assess the prevalence of thyroid dysfunction in MS and to investigate the association between DMDs and the risk of thyroiditis in MS. A cross-sectional study included 100 patients with relapsing-remitting multiple sclerosis (RRMS) in relapse, and the diagnosed was according to revised McDonald’s criteria 2010. Results Our results revealed that the prevalence of thyroiditis was 40%; autoimmune (34%) and infective (6%) among patients with RRMS in relapse and cerebellar symptoms were significantly higher in patients with thyroiditis compared to patients without thyroiditis. Regarding the association between DMDs and thyroiditis, the prevalence of patients treated with interferon-beta-1b was higher in MS patients with thyroiditis compared to MS patients without thyroiditis. However, the prevalence of patients treated with interferon-beta-1a was lower in MS patients with thyroiditis compared to MS patients without thyroiditis. In addition, we found CMV infection was more common in patients treated by interferon beta-1b and candida infection was common in patients treated by fingolimod. Conclusions Thyroiditis is commonly observed in patients with RRMS in relapse and higher prevalence of patients treated with interferon-beta-1b which is commonly associated with thyroiditis and CMV infection; however, candida thyroid infection was common in MS patients treated by fingolimod.


Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale

Background: Potential importance of drug –drug interactions (DDIs) is increasing as polypharmacy becomes more prevalent. Because additional data on the incidence and pattern of potential DDIs among diabetic patients are lacking in India, and supplemental pharmacodynamic or clinical outcome information is needed to address importance of a drug- drug interaction. Aim and objectives: To identify and analyze the pattern of DDIs in patients being prescribed anti-diabetic drugs in a tertiary care hospital. Material and Methods: This prospective cross-sectional study was carried out for a period of three months in 200 Type 2 diabetes mellitus (Type 2 DM) patients who were taking at least one antidiabetic agent during the period of past six months, of any age and either sex admitted in medicine ward of a tertiary care teaching hospital. Only one prescription was included for each patient on his/her 3rd day of hospitalization in the ward. Results: A total of 1217 drugs were prescribed in 200 prescriptions, resulting in an average of 6.1 drugs per prescription. A total of 637 potential DDIs were noted. The majority were seen in middle aged and elderly people. No overall difference was detected in the patients on insulin or metformin therapy taking or not taking additional drugs with the potential to interact. Worse control was found in the group of patients on sulphonylurea therapy taking interacting drugs (P <0.05). This difference was most marked in the group of patients over 60 years of age, who also had the highest intake of potentially interacting drugs (57%; <35 years-37%). Conclusion: Antidiabetic drugs have numerous interactions. A good practice is to use a drug­–drug interaction checker if any questions arise, several are available online. Quality care starts with the clinician obtaining a complete medication list for each patient at the start of each visit. Keywords: diabetes mellitus, drug interactions, hypoglycemic agents, drug therapy, co-morbidity, polypharmacy


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