Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
Glob Heart ; 15(1): 11, 2020 02 07.
Article in English | MEDLINE | ID: mdl-32489784

ABSTRACT

Background: Exposure to household air pollution (HAP) from cooking with biomass fuel affects billions of people. We hypothesized that HAP from woodsmoke, compared to other household fuels, was associated with adverse cardiovascular outcomes, of which there have been few studies. Methods: A cross-sectional study was completed in 299 females aged 40-70 years in Kaski District, Nepal, during 2017-18. All participants underwent a standard 12-lead ECG, ankle and brachial systolic blood pressure measurement, and 2D color and Doppler echocardiography. Current stove type was confirmed by inspection. Blood pressure, height, and weight were measured using a standardized protocol. Hypertension was defined as ≥140/90 mmHg or prior diagnosis. Hemoglobin A1c (HbA1c) was obtained, with diabetes mellitus defined as a prior diagnosis or HbA1C ≥ 6.5%. We used adjusted linear and logistic multivariable regressions to examine the relationship of stove type with cardiac structure and function. Results: The majority of women primarily used liquified petroleum gas (LPG) stoves (65%), while 12% used biogas, and 23% used wood-burning cook-stoves. Prevalence of major cardiovascular risk factors was 35% with hypertension, 19% with diabetes mellitus, and 15% current smokers. After adjustment, compared to LPG, wood stove use was associated with increased indexed left atrial volume (ß = 3.15, 95% CI 1.22 to 5.09) and increased indexed left ventricular end diastolic volume (ß = 7.97, 95% CI 3.11 to 12.83). There was no association between stove type and systemic hypertension, left ventricular mass, systolic dysfunction, diastolic dysfunction, pulmonary hypertension, abnormal ankle-brachial index, or clinically significant ECG abnormalities. Conclusion: Biomass fuel use was associated with increased indexed left atrial volume and increased indexed left ventricular diastolic volume in Nepali women, suggesting subclinical adverse cardiac remodeling from HAP in this cross-sectional study. We did not find evidence of an association with hypertension or typical cardiac sequelae of hypertension. Future studies to confirm these results are needed.


Subject(s)
Air Pollution/adverse effects , Biomass , Heart Diseases/physiopathology , Rural Population , Ventricular Function/physiology , Adult , Aged , Cross-Sectional Studies , Echocardiography , Electrocardiography , Female , Heart Diseases/diagnosis , Heart Diseases/epidemiology , Humans , Male , Middle Aged , Morbidity/trends , Nepal/epidemiology , Risk Factors
2.
Diabetes Metab Syndr ; 11 Suppl 1: S417-S423, 2017 Nov.
Article in English | MEDLINE | ID: mdl-28438429

ABSTRACT

BACKGROUND: Hypomagnesaemia has been shown to be associated with type 2 diabetes mellitus (T2DM) and its complications. The present study investigated the association of hypomagnesaemia with T2DM and its complications in patients hailed mostly from the western hilly region of Nepal. METHODS: This study was conducted among 150 type 2 diabetic patients and 150 of non-diabetic controls between May to September 2016. Relevant demographic, anthropometric, physiological and biochemical variables were measured using standard protocols. Statistical analyses were performed by SPSS version 17.0. RESULTS: Hypomagnesaemia (1.7±0.2mg/dl) was present in 50% of diabetic patients and none in the healthy controls (2.0±0.2mg/dl). It was inversely correlated with levels of glycated hemoglobin (HbA1c) (r=-0.299), total cholesterol (r=-0.219), low density lipoprotein-cholesterol (r=-0.168) and creatinine (r=-0.215) and directly correlated with serum creatinine based glomerular filtration rate (eGFRcr) (r=0.196). Subjects with hypomagnesaemia were significantly older (57.4±11.5years) and had higher levels of HbA1c (8.4±1.2%) and serum total cholesterol (248.3±72.0mg/dl). The methods of diabetes control did not have a significant influence on serum magnesium level. Patient's age (OR: 1.05 (95% CI-1.01-1.09)), poor glycemic control (OR: 6.78 (95% CI-2.56-17.95)) and low eGFRcr (OR: 4.89 (95% CI-1.78-13.40)) were the significant predictors of hypomagnesaemia. CONCLUSION: Half of type 2 diabetic population under study had hypomagnesaemia without regard to the method of diabetes control. Old age, poor glycemic control, and low eGFRcr were the significant predictors of low serum magnesium in these patients. Besides their regular anti-diabetic treatment, clinicians should also consider dietary supplementation of magnesium to prevent further complications of diabetes in these patients.


Subject(s)
Blood Glucose , Diabetes Mellitus, Type 2/blood , Kidney/physiopathology , Magnesium/blood , Adult , Age Factors , Creatinine/blood , Diabetes Mellitus, Type 2/metabolism , Female , Glomerular Filtration Rate , Glycated Hemoglobin/metabolism , Humans , Kidney Function Tests , Male , Middle Aged , Nepal/epidemiology
3.
BMC Res Notes ; 10(1): 146, 2017 Apr 04.
Article in English | MEDLINE | ID: mdl-28376848

ABSTRACT

BACKGROUND: Atherogenic dyslipidemia is an important modifiable risk factor for cardiovascular disease among patients of type 2 diabetes mellitus. Timely detection and characterization of this condition help clinicians estimate future risk of cardiovascular disease and take appropriate preventive measures. The aim of this study was to determine the prevalence, pattern and predictors of dyslipidemia in a cohort of Nepalese patients with type 2 diabetes. RESULTS: We found mixed dyslipidemia as the most prevalent (88.1%) and isolated dyslipidemia (10.1%) as the least prevalent forms of dyslipidemia in our patients. The most prevalent form of single dyslipidemia was high LDL-C (73.8%) and combined dyslipidemia was high TG, high LDL-C and low HDL-C (44.7%). Prevalence of all single and mixed dyslipidemia was higher in patients with poor glycemic control and hypertension. The glycemic status of patients correlated with their fasting serum lipid profile. Dyslipidemia was associated mainly with male gender, poor glycemic control and hypertension. CONCLUSIONS: Atherogenic dyslipidemia is associated mainly with male gender, poor glycemic control and hypertension. It is highly prevalent in Nepalese patients with type 2 diabetes. Urgent lifestyle modification, sustained glycemic control and aggressive lipid lowering treatment plans are necessary to minimize the future risk of cardiovascular disease in this population.


Subject(s)
Diabetes Mellitus, Type 2/epidemiology , Dyslipidemias/epidemiology , Adult , Analysis of Variance , Atherosclerosis/blood , Blood Glucose/metabolism , Cholesterol/blood , Cholesterol, HDL/blood , Cholesterol, LDL/blood , Cohort Studies , Comorbidity , Cross-Sectional Studies , Diabetes Mellitus, Type 2/blood , Dyslipidemias/blood , Female , Humans , Male , Middle Aged , Nepal/epidemiology , Prevalence , Risk Factors , Triglycerides/blood
4.
N Am J Med Sci ; 7(8): 347-55, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26417557

ABSTRACT

BACKGROUND: Predicting future coronary heart disease (CHD) risk with the help of a validated risk prediction function helps clinicians identify diabetic patients at high risk and provide them with appropriate preventive medicine. AIM: The aim of this study is to estimate and compare 10-year CHD risks of Nepalese diabetic patients using two most common risk prediction functions: The Framingham risk equation and United Kingdom Prospective Diabetes Study (UKPDS) risk engine that are yet to be validated for Nepalese population. PATIENTS AND METHODS: We conducted a hospital-based, cross-sectional study on 524 patients with type 2 diabetes. Baseline and biochemical variables of individual patients were recorded and CHD risks were estimated by the Framingham and UKPDS risk prediction functions. Estimated risks were categorized as low, medium, and high. The estimated CHD risks were compared using kappa statistics, Pearson's bivariate correlation, Bland-Altman plots, and multiple regression analysis. RESULTS: The mean 10-year CHD risks estimated by the Framingham and UKPDS risk functions were 17.7 ± 12.1 and 16.8 ± 15 (bias: 0.88, P > 0.05), respectively, and were always higher in males and older age groups (P < 0.001). The two risk functions showed moderate convergent validity in predicting CHD risks, but differed in stratifying them and explaining the patients' risk profile. The Framingham equation predicted higher risk for patients usually below 70 years and showed better association with their current risk profile than the UKPDS risk engine. CONCLUSIONS: Based on the predicted risk, Nepalese diabetic patients, particularly those associated with increased numbers of risk factors, bear higher risk of future CHDs. Since this study is a cross-sectional one and uses externally validated risk functions, Nepalese clinicians should use them with caution, and preferably in combination with other guidelines, while making important medical decisions in preventive therapy of CHD.

SELECTION OF CITATIONS
SEARCH DETAIL
...