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Background: Hypertension (HTN) is linked to cardiac dysautonomia that can end up as life-threatening arrhythmias. The same can be screened by simple electrocardiogram (ECG)-based QTc (QT corrected for heart rate) interval which indicates repolarization abnormality. We quantified QTc interval among treated hypertensives in comparison to controls, testing effect of age, gender, and blood pressure. Methods: We conducted a cross-sectional study was done at a tertiary care teaching hospital of Gujarat, India, on 142 hypertensives on monotherapy (60 males, 82 females) and 72 age-, sex-, and time-matched normotensives. ECG was recorded with minimum 10 complexes of Lead II. QTc was derived from average of 10 values, using Bazett's formula. QTc > 0.43 s in male and > 0.45 s in female was considered abnormal. Results: Hypertensives (mean age 40 and duration 5 years) had significantly higher QTc value than normotensives among males (0.42 vs. 0.40, P < 0.001), females (0.44 vs. 0.41, P < 0.001), and in total (0.43 vs. 0.41, P < 0.001) with 24% prevalence of ECG-based left ventricular hypertrophy. Hypertensives had odds ratio 1.63 in males (P = 0.15), 23.71 in females (P = 0.003), and 3.83 in total (P < 0.001) for prolonged QTc. QTc values were significantly affected by increasing age amongst hypertensives but not by duration of HTN or current blood pressure. Conclusions: Our study showed a high prevalence of prolonged QTc, both qualitatively and quantitatively, in hypertensives on monotherapy with poor pressure control, associated with female gender and age but not duration or blood pressure. This underscores high risk of repolarization abnormality induced future event, suggesting QTc screening as primary prevention. [ABSTRACT FROM AUTHOR]

Objectives: To study the effect of disease duration, treatment and risk factors on QTc interval among young hypertensives. Materials and Methods: A case-control study was conducted on 142 hypertensives (60 males, 82 females) taking calcium channel blocker (CCB) or angiotensin-converting enzyme inhibitor (ACEI) as monotherapy. After blood pressure measurement, we recorded lead II electrocardiograph with minimum ten waveforms. QTc was derived from average of ten values using Bazett's formula. QTc interval >0.43 s in male and >0.45 s in female was considered abnormal. Results: Cases had mean duration of hypertension 5 years, mean age of 40 years, and poor blood pressure control (systolic blood pressure >140 and diastolic blood pressure >90 mm of Hg). Newly diagnosed hypertensives had significantly higher QTc values than the matched known cases (0.44 vs. 0.42 s, P < 0.05). Known hypertensives did not differ significantly in QTc values by the duration of disease. CCB users showed small, insignificant disadvantage for abnormally prolonged QTc values than ACEI users. With coexisting diabetes, smoking, and positive family history of hypertension, there was odds risk of 7.69, 2.75, and 2.54, respectively for prolonged QTc. Conclusion: Our study showed prolonged QTc in hypertensives more so in newly diagnosed, unaffected by duration or use of ACEI, or CCB but associated with modifiable risk factors. This underscores high risk of repolarization abnormality-induced future events, suggesting early screening of hypertension, strict blood pressure control, optimum use of QTc measurement, and preventive pharmacotherapy to reduce this aftermath. [ABSTRACT FROM AUTHOR]

Objective: To correlate BMI, lipidemic control, and statin therapy with PAD measured by ABI in low risk type 2 diabetics. Materials and Methods: A sample of 101 nonsmoking, asymptomatic type 2 diabetics (50 males, 51 females) with known glycemic (fasting blood sugar, postprandial blood sugar, glycosylated hemoglobin) and lipidemic (total cholesterol, lipoproteins, and triglycerides [TGAs]) control was taken. Vascular Doppler was used to derive ABI and PAD was defined as ABI <0.9. ABI values were compared amongst groups and P < 0.05 was considered statistically significant. Results: We found fairly good lipid but poor glycemic control and prevalence of PAD 30%. There was insignificantly low ABI profile in patient having BMI ≥25, hyperlipidemia and absent statin therapy with odds ratio being highest for TGAs ≥150 (3.23) followed by BMI ≥25 (2.61), high-density lipoprotein ≤50 (1.61), low-density lipoprotein ≥100 (1.20), and disuse of statin (1.14) with significance only for BMI. Conclusion: We observed small, insignificant PAD risk by dyslipidemia or non-use of statins in low-risk ambulatory T2DM patients, not so by BMI. This suggests importance of good glycemic control, maintenance of optimum weight, and lifestyle modifications as primary prevention rather than opting for costly and inefficient secondary prevention. [ABSTRACT FROM AUTHOR]

Introduction: Smoking is an increasingly popular indulgence in India. Assessment by routine spirometry falls short of direct functional parameter like Diffusion Lung Capacity (DLC), also known as lung transfer factor (LTF). Aim: To measure LTF amongst middle aged male smokers and to study various correlates for it. Materials and Methods: Total of 45 asymptomatic male current smok ers were enrolled for this cross-sectional study conducted at pulmonary function testing lab of Physiology Department of our college. Smoking history was evaluated and smoking index was defined by product of number smoked per day and years smoked. We used instrument Ultima PFX of Medgraphic Company. After pre syringe calibration LTF was measured by Methane mixture using protocols of ATS. Parameters measured were Dlco-uncorrected, corrected and normalized to VA (alveolar volume). Results were compared for statistical significance and significance was set as p <0.05. Results: In case group of 45(25 bidi and 20 cigarette smokers) mean age was 30 years, mean duration was 8 years, mean smoking index was 60. We found small insignificant decline in actual LTF values than predicted which was not significantly different between bidi and cigarette smokers. Duration, age and intensity of smoking were negatively and significantly correlated with LTF value while anthropometric parameters were not. Conclusion: Smoking adversely affects LTF in young asymptomatic current male smoker that further declines with severity of smoking and with duration regardless of type of smoking. With years to come, these alterations can largely be prevented by smoking cessation, at least theoretically. [ABSTRACT FROM AUTHOR]

Background: Obesity and Type 2 diabetes mellitus are on rise with cause-effect relationship. Diabetics monitor blood sugar, neglecting qualitative body composition, leaving residual threat of ectopic fat unattended. We tried to correlate glycemic triad with parameters of body composition derived objectively by bioelectrical impedance analysis (BIA). Materials and Methods: A sample of 78 under treatment sedentary Type 2 diabetics of either sex with known glycemic and lipidemic control from our city. Following baseline assessment measurement was done by instrument Omron Karada Scan (Model HBF-510, China) using the principle of tetra poplar BIA to derive parameters of body composition. We tried to correlate glycemic triad with these parameters, both directly as well as after defining them as per established cutoff norms. Results: We found poor glycemic control in the study group (20% for Hb1AC), high body mass index, subcutaneous fat, visceral fat (VF), total body fat (TBF), and lesser mass of skeletal muscle in Type 2 diabetics. However, there were small, insignificant, and inconsistent difference of these parameters while directly correlating with the fasting blood sugar, postprandial blood sugar, and glycosylated hemoglobin. On qualitative assessment, the impact of glycemic control as per standard norms, the risk of high VF, high TBF, low skeletal muscle mass was though high (between 1 and 2) in Type 2 diabetics with poor glycemic control as compared to good glycemics, but each strength lacks statistical significance. Conclusion: BIA reveals that Type 2 diabetics have more ectopic fat on expense of skeletal muscle that do not correlate with current glycemic status, both quantitatively and qualitatively. Measurement of body composition can be included and subjects can be motivated for lifestyle modification strategies while managing metabolic derangements of Type 2 diabetes. [ABSTRACT FROM AUTHOR]

Background: Deranged body fat and muscle mass are aftermaths of uncontrolled diabetes. Anthropometric methods like body mass index (BMI) do not give qualitative inferences like total body fat (TBF), visceral fat (VHF) or subcutaneous fat (S) that can be given by bio-electrical impedance analysis (BIA). We studied body composition of type 2 diabetics in comparison to controls matched by age-sex, weight and BMI separately. Methods: Seventy-eight under-treatment type 2 diabetics of either sex with known glycemic and lipidemic control and equal number of controls with three patterns of matching were taken from our city. We derived parameters of body composition in both groups by Omron Karada Scan (Model HBF-510, China), using the principle of tetra poplar BIA and compared them for statistical significance. Results: We found significantly more SF (30.47% ± 7.73%), VF (11.94% ± 4.97%) and TBF (33.96% ± 6.07%) and significantly lesser skeletal muscle mass (23.39% ± 4.49%) in type 2 diabetics as compared to controls, persisting even after matching with weight or BMI. On assessing qualitatively, the risk of high VF, high TBF, low skeletal muscle mass was significantly high in type 2 diabetics, which were 10.41, 3.01, 9.21 respectively for comparable BMI and 6.78, 3.51, 11.93 respectively for comparable weight. Conclusions: BIA reveals that type 2 diabetics have more ectopic fat on the expense of skeletal muscle that persists even after matching by weight or BMI, both quantitatively and qualitatively. Measurement of body composition can be included as a primary care strategy to motivate lifestyle modifications while managing metabolic deran-gements of type 2 diabetes. [ABSTRACT FROM AUTHOR]

Background and Objectives: Air pollution due to road traffic is a serious health hazard and air quality crisis in cities is mainly due to vehicular emission. Thus the persons who are continuously exposed are at an increased risk. The study was carried out to evaluate the extent of impairment in lung function in traffic police personnel compared to matched unexposed control group. Materials and Methods: A cross-sectional study was conducted to measure the spirometric parameters of 100 traffic police personnel, aged 20-55 years, working in Saurashtra region, as compared to matched control group, consisting of 100 unexposed males. Measurement of lung volumes and capacities was done with SPIROEXCEL. The statistical analysis was carried out with Graph pad instat 3. Results: Traffic police personnel had significantly declined forced vital capacity (FVC), forced expiratory volume in one second (FEV 1), slow vital capacity (SVC) and maximum voluntary ventilation (MVV) when compared with predictive normal values, which is probably due to exposure to vehicular exhaust. Comparison of test values between groups showed significantly reduced FVC, MVV and increased FEV1/FVC ratio and insignificantly declined FEV1 and SVC in cases as compared to controls. Traffic personnel with longer duration of exposure showed significantly reduced lung functions than those with shorter duration. Smokers showed lower test values as compared to non-smokers with significance only in unexposed group. Conclusion: The effect of pollution by vehicular exhausts may be responsible for these pulmonary function impairments and traffic police personnel should be offered personal protective or preventive measures. [ABSTRACT FROM AUTHOR]

Objective: To correlate BMI, lipidemic control, and statin therapy with PAD measured by ABI in low risk type 2 diabetics., Materials and Methods: A sample of 101 nonsmoking, asymptomatic type 2 diabetics (50 males, 51 females) with known glycemic (fasting blood sugar, postprandial blood sugar, glycosylated hemoglobin) and lipidemic (total cholesterol, lipoproteins, and triglycerides [TGAs]) control was taken. Vascular Doppler was used to derive ABI and PAD was defined as ABI <0.9. ABI values were compared amongst groups and P < 0.05 was considered statistically significant., Results: We found fairly good lipid but poor glycemic control and prevalence of PAD 30%. There was insignificantly low ABI profile in patient having BMI ≥25, hyperlipidemia and absent statin therapy with odds ratio being highest for TGAs ≥150 (3.23) followed by BMI ≥25 (2.61), high-density lipoprotein ≤50 (1.61), low-density lipoprotein ≥100 (1.20), and disuse of statin (1.14) with significance only for BMI., Conclusion: We observed small, insignificant PAD risk by dyslipidemia or non-use of statins in low-risk ambulatory T2DM patients, not so by BMI. This suggests importance of good glycemic control, maintenance of optimum weight, and lifestyle modifications as primary prevention rather than opting for costly and inefficient secondary prevention.

Background: Peripheral arterial disease (PAD) is an aftermath of type 2 diabetes posing a significant health problem in developing countries. Its silent progression warrants presymptomatic screening by ankle brachial index (ABI), which cannot be applied to the whole population. We tried to measure the burden of PAD in diabetics of this region correlating various risk factors for it quantitatively and qualitatively., Materials and Methods: From various out-patient departments, 110 known under treatment type 2 diabetics were recruited. They underwent thorough assessment for general, symptomatic, medical history and risk factor screening that included 11 well-known risk factors. ABI was measured by Versadop instrument using the standard protocol with ABI <0.9 being considered as abnormal., Results: There was a high prevalence of asymptomatism, hypertension, positive family history and age <52 years in the study group. Relative risk was highest for asymptomatism followed by high body mass index, hyperlipidemia, cardiovascular disease and smoking, but less significant for age, gender, fasting sugar level, family history. More adverse ABI profile was noticed with the increase in number of five modifiable risk factors cumulatively., Conclusion: There was a high prevalence of low ABI in our region that is an evidence of PAD mainly affected by risk factors many of which were modifiable. Defining those who are at risk to develop PAD in Diabetes, one can use ABI better in early screening and prompt treatment of this complication to stop its further progression and primary prevention can be served as felt the need for health-care effectively.