ABSTRACT
In India, more than 72 million people have diabetes. Diabetic retinopathy (DR), a vision-threatening complication of people with diabetes, is an important cause of avoidable blindness. The delay in the detection of DR is due to lack of awareness and shortage of ophthalmologists trained in the management of DR. With this background, in 2015, we initiated a capacity-building program “Certificate Course in Evidence Based Management of Diabetic Retinopathy (CCDR)” with an objective to build the skills and core competencies of the physicians across India in the management of diabetes and DR. The program has completed four cycles and 578 physicians have been trained. The course elicited an excellent response, which reflects the much-felt need for skill improvement in DR diagnosis and management for physicians in India. This model demonstrates an innovative modality to address DR-related avoidable blindness in a resource-restraint country like India.
ABSTRACT
Dietary carbohydrates form the major source of energy in Asian diets. The carbohydrate quantity and quality play a vital function in the prevention and management of diabetes. High glycaemic index foods elicit higher glycaemic and insulinaemic responses and promote insulin resistance and type 2 diabetes (T2D) through beta-cell exhaustion. This article reviews the evidence associating dietary carbohydrates to the prevalence and incidence of T2D and metabolic syndrome (MS) in control of diabetes and their role in the complications of diabetes. Cross-sectional and longitudinal studies show that higher carbohydrate diets are linked to higher prevalence and incidence of T2D. However, the association seems to be stronger in Asian-Indians consuming diets high in carbohydrates and more marked on a background of obesity. There is also evidence for high carbohydrate diets and risk for MS and cardiovascular disease (CVD). However, the quality of carbohydrates is also equally important. Complex carbohydrates such as brown rice, whole wheat bread, legumes, pulses and green leafy vegetables are good carbs. Conversely, highly polished rice or refined wheat, sugar, glucose, highly processed foods such as cookies and pastries, fruit juice and sweetened beverages and fried potatoes or French fries are obviously 'bad' carbs. Ultimately, it is all a matter of balance and moderation in diet. For Indians who currently consume about 65-75 per cent of calories from carbohydrates, reducing this to 50-55 per cent and adding enough protein (20-25%) especially from vegetable sources and the rest from fat (20-30%) by including monounsaturated fats (e.g. groundnut or mustard oil, nuts and seeds) along with a plenty of green leafy vegetables, would be the best diet prescription for the prevention and management of non-communicable diseases such as T2D and CVD.
ABSTRACT
According to the World Diabetes Atlas, India is projected to have around 51 million people with diabetes. However, these data are based on small sporadic studies done in some parts of the country. Even a few multi-centre studies that have been done, have several limitations. Also, marked heterogeneity between States limits the generalizability of results. Other studies done at various time periods also lack uniform methodology, do not take into consideration ethnic differences and have inadequate coverage. Thus, till date there has been no national study on the prevalence of diabetes which are truly representative of India as a whole. Moreover, the data on diabetes complications is even more scarce. Therefore, there is an urgent need for a large well-planned national study, which could provide reliable nationwide data, not only on prevalence of diabetes, but also on pre-diabetes, and the complications of diabetes in India. A study of this nature will have enormous public health impact and help policy makers to take action against diabetes in India.
Subject(s)
Diabetes Complications/epidemiology , Diabetes Mellitus/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Epidemiologic Research Design , Health Knowledge, Attitudes, Practice , Health Services Needs and Demand , Humans , India/epidemiology , Policy , Prevalence , Public HealthABSTRACT
Dengue fever, a mosquito-borne viral infection, causes significant morbidity and has become endemic in the Indian subcontinent. Virus strains currently circulating in many parts of the country are not well studied at the molecular level. In the present study, genetic characterization of virus strains from a dengue outbreak that occurred in and around a tertiary care hospital in Ernakulam, Kerala in the year 2008 has been reported. By reverse transcription polymerase chain reaction (RT-PCR), 37 out of 75 (49.3%) clinically suspected cases were positive for dengue viral RNA. Among these, 21 (56.8%) samples showed concurrent infection with multiple serotypes of the virus. Majority of the combined infections were caused by dengue serotype 2 and 3. Co-infections with type 1 and 2 in two patients, and type 1, 2 and 3 in one patient were also observed. The core-pre-Membrane (CprM) junction nucleotide sequencing and phylogenetic analysis revealed that the type 1 strains were related to the viral strains reported from Delhi-2001 and Gwalior-2002 dengue outbreaks, while the type 2 strains were related to the strains from Gwalior-2001 epidemic. Sequences of type 3 strains did not show clear relation to any of the previous Indian isolates, and in the phylogenetic analysis, they formed a distinct lineage within the Indian type 3 strains. This study indicates hyperendemicity of dengue in the region with the presence of multiple serotypes and high rates of co-infection, and local genomic evolution of the viral strains involved in this outbreak.
ABSTRACT
In general, Indians have low HDL cholesterol levels. Fenofibrate, a drug widely used in the treatment of hypertriglyceridemia, usually also increases HDL cholesterol. There have been a few reports in the literature of a paradoxical decrease in serum HDL-cholesterol in patients treated with fenofibrate, either alone or in combination with a statin. We report three cases of paradoxical decrease in serum HDL- cholesterol in type 2 diabetic patients treated with a statin-fenofibrate combination. ©
Subject(s)
Cholesterol, HDL/blood , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/therapy , Drug Therapy, Combination , Dyslipidemias/blood , Dyslipidemias/complications , Dyslipidemias/drug therapy , Fenofibrate/administration & dosage , Heptanoic Acids/administration & dosage , Humans , Hypolipidemic Agents/administration & dosage , Male , Middle Aged , Pyrroles/administration & dosageABSTRACT
OBJECTIVE: The aim of this study was to determine the mortality rate in diabetic and non-diabetic subjects in urban south India. METHODS: The Chennai Urban Population Study is an ongoing epidemiological study in Chennai [formerly Madras, in south India]. All individuals > or = 20 years of age living in two residential colonies in Chennai were invited to participate in the study. Of the total 1399 eligible subjects, 1262 individuals responded [90.2%] at baseline, and of these, 1140 individuals [90.3%] could be followed annually from 1997 to 2003-04. Mortality rates and causes of death were the main outcome measures. RESULTS: The median follow up period was six years. The overall mortality rate was higher in diabetic compared to non-diabetic subjects [18.9 vs.5.3 per 1000 person-years, p=0.004]. Mortality due to cardiovascular [diabetic subjects, 52.9%; non-diabetic subjects, 24.2%,p=0.042] and renal causes[diabetic subjects, 23.5%; non-diabetic subjects, 6.1%,p=0.072] was higher among diabetic subjects whereas mortality due to gastrointestinal 112.1%], respiratory [9.1%], lifestyle related [6.1%] and unnatural causes [18.2%] were observed only among non-diabetic subjects. Hazards ratio [HR] for all cause mortality for diabetes was 3.6, [95% Confidence Interval [CI]: 2.02-6.53, p<0.001] and this remained significant even after adjusting for age [HR:1.9, 95% CI:1.04-3.45, p=0.038]. Light grade physical activity was associated with higher mortality rate [p=0.008], but the significance disappeared when adjusted for age. Smoking was also associated with increased mortality. CONCLUSIONS: In urban India, mortality rates are two fold higher in people with diabetes compared to nondiabetic subjects. Cardiovascular and renal diseases are the commonest causes of death among diabetic subjects.