Erythromycin mimics the effect of the gastrointestinal polypeptide motilin on gastrointestinal motility, probably by binding to motilin receptors and acting as a motilin agonist. Erythromycin may thus have clinical application in patients with disturbances of gastroduodenal motility, such as diabetic gastroparesis. To examine this possibility, we studied the effect of erythromycin on gastric emptying in 10 patients with insulin-dependent diabetes mellitus and gastroparesis. We studied the emptying of liquids and solids simultaneously on separate days after the intravenous administration of erythromycin (200 mg) or placebo, using a double-isotope technique and a double-blind, crossover design. Erythromycin shortened the prolonged gastric-emptying times for both liquids and solids to normal. For example, 120 minutes after the ingestion of a solid meal, mean (+/- SE) retention was 63 +/- 9 percent with placebo and 4 +/- 1 percent with erythromycin, as compared with 9 +/- 3 percent in 10 healthy subjects. The corresponding values 120 minutes after the ingestion of a liquid meal were 32 +/- 4, 9 +/- 3, and 4 +/- 1 percent, respectively. Gastric emptying also improved, but to a lesser degree, in the 10 patients after four weeks of treatment with oral erythromycin (250 mg three times a day). These preliminary results suggest that erythromycin may have therapeutic value in patients with severe diabetic gastroparesis.
Abstract-Our aim was to determine the usefulness of circulating oxidized low density lipoprotein (LDL) in the identification of patients with coronary artery disease (CAD). A total of 304 subjects were studied: 178 patients with angiographically proven CAD and 126 age-matched subjects without clinical evidence of cardiovascular disease. The Global Risk Assessment Score (GRAS) was calculated on the basis of age, total and high density lipoprotein cholesterol, blood pressure, diabetes mellitus, and smoking. Levels of circulating oxidized LDL were measured in a monoclonal antibody 4E6 -based competition ELISA. Compared with control subjects, CAD patients had higher levels of circulating oxidized LDL (PϽ0.001) and a higher GRAS (PϽ0.001). The sensitivity for CAD was 76% for circulating oxidized LDL (55% for men and 81% for women) compared with 20% (24% for men and 12% for women) for GRAS, with a specificity of 90%. Logistic regression analysis revealed that the predictive value of oxidized LDL was additive to that of GRAS (PϽ0.001). Ninety-four percent of the subjects with high (exceeding the 90th percentile of distribution in control subjects) circulating oxidized LDL and high GRAS had CAD (94% of the men and 100% of the women Key Words: atherosclerosis Ⅲ coronary artery disease Ⅲ diagnosis Ⅲ lipoproteins M ajor independent risk factors for coronary artery disease (CAD) are advancing age, elevated blood pressure, elevated serum total and LDL cholesterol levels, low serum HDL cholesterol level, diabetes mellitus, and cigarette smoking. 1-3 The Framingham Heart Study 1 has elucidated the quantitative relationship between these risk factors and CAD. It has shown that the major risk factors are additive in predictive power. Accordingly, the total risk of a person can be estimated by a summing of the risk imparted by each of the major risk factors. Recently, the American Heart Association and the American College of Cardiology issued a scientific statement that assessed the Global Risk Assessment Scoring (GRAS) as a guide to primary prevention. 4 GRAS is based on age, total and HDL cholesterol levels, systolic blood pressure, diabetes mellitus, and smoking. Predisposing factors such as obesity, physical inactivity, and family history of premature CAD are not included in GRAS.Elevated levels of oxidized LDL have previously been detected in the plasma of CAD patients. 5-7 Therefore, we determined the predictive value of circulating oxidized LDL for CAD. Logistic regression analysis was used to determine whether the predictive value of circulating oxidized LDL was additive to that of GRAS. Finally, the correlation between circulating oxidized LDL and major cardiovascular risk factors in subjects without clinical evidence of CAD was studied. Methods Study DesignThe present study included 304 subjects (aged Ͼ45 years). Seventyeight patients with angiographically proven CAD have previously been described. 6 Blood samples from these patients were collected from 1993 to 1994 and were analyzed within 1 month after collection. Bl...
OBJECTIVE: To investigate whether peripheral muscle strength is signi®cantly different between lean and obese women controlled for age and physical activity, using an allometric approach. DESIGN: Cross-sectional study of isometric handgrip and isokinetic leg and trunk muscle strength. SUBJECTS: 173 obese (age 39.9 AE 11.4 y, body mass index (BMI) 37.8 AE 5.3 kgam 2 ) and 80 lean (age 39.7 AE 12.2 y, BMI 22.0 AE 2.2 kgam 2 ) women. MEASUREMENTS: Anthropometric measures (weight, height) and body composition (bioelectrical impedance method), isometric handgrip (maximal voluntary contraction on the Jamar dynamometer), isokinetic trunk¯exion ± extension, trunk rotation, and knee¯exion ± extension (Cybex dynamometers). RESULTS: Absolute isokinetic strength output (that is, strength uncorrected for fat-free mass) was larger in obese compared to lean women, except for knee¯exion and isometric handgrip, which were not signi®cantly different (P b 0.05). Pearson correlation coef®cients between strength measures and fat-free mass (kg) were low to moderate both in lean (r 0.28 ± 0.53, P`0.05) and in obese (r 0.29 ± 0.49, P`0.001) women. There was no correlation with fat mass (kg) in the lean, whereas in the obese women a weak positive relation could be observed for most isokinetic data (r 0.21 ± 0.39, P`0.01). When correcting for fat-free mass (raised to the optimal exponent determined by allometric scaling), all strength measurements were at least 6% lower in obese when compared to the lean women, except for trunk¯exion, which was at least 8% stronger in obese women. DISCUSSION: The higher absolute knee extension strength measures of leg and the similar extension strength of the trunk in the obese sample compared to the lean might be explained by the training effect of weight bearing and support of a larger body mass. However when the independent effect of fat-free mass is removed, these strength measures, as well as oblique abdominal muscle and handgrip strength, turned out to be lower in obese women. These observations could be the re¯ection of the overall impairment of physical ®tness as a consequence of obesity and its metabolic complications.
The aim of this study was first, to assess the presence of medical conditions that might interfere with walking; second, to assess the differences in walking capacity, perceived exertion and physical complaints between lean, obese and morbidly obese women; and third, to identify anthropometric, physical fitness and physical activity variables that contribute to the variability in the distance achieved during a 6-minute walk test in lean and obese women. A total of 85 overweight and obese females (18-65 years, body mass index (BMI) > or = 27.5 kg m(-2)), 133 morbidly obese females (BMI > or = 35 kg m-2) and 82 age-matched sedentary lean female volunteers (BMI < or = 26 kg m(-2)) were recruited. Patients suffering from severe musculoskeletal and cardiopulmonary disease were excluded from the study. Prior to the test, conditions that might interfere with walking and hours of TV watching were asked for. Physical activity pattern was assessed using the Baecke questionnaire. Weight, height, body composition (bioelectrical impedance method), isokinetic concentric quadriceps strength (Cybex) and peak oxygen uptake (peakVO2_bicycle ergometer) were measured. A 6-minute walk test was performed and heart rate, walking distance, Borg rating scale of perceived exertion (RPE) and physical complaints at the end of the test were recorded. In obese and particularly in morbidly obese women suffering from skin friction, urinary stress incontinence, varicose veins, foot static problems and pain, wearing insoles, suffering from knee pain, low back pain or hip arthritis were significantly more prevalent than in lean women (P < 0.05). Morbidly obese women (BMI > 35 kg m(-2)N = 133) walked significantly slower (5.4 km h(-1)) than obese (5.9 km h(-1)) and lean women (7.2 km h(-1), P < 0.05), were more exerted (RPE 13.3, 12.8 and 12.4, respectively, P < 0.05) and complained more frequently of dyspnea (9.1%, 4.7% and 0% resp., P < 0.05) and musculoskeletal pain (34.9%, 17.7% and 11.4% resp., P < 0.05) at the end of the walk. In a multiple regression analysis, 75% of the variance in walking distance could be explained by BMI, peakVO2, quadriceps muscle strength age, and hours TV watching or sports participation. These data suggest that in contrast with lean women, walking ability of obese women is hampered not only by overweight, reduced aerobic capacity and a sedentary life style, but also by perceived discomfort and pain. Advice or programs aimed at increasing walking for exercise also need to address the conditions that interfere with walking, as well as perceived symptoms and walking difficulties in order to improve participation and compliance.
The aim of this study was to assess the nature and magnitude of the differences in submaximal and maximal exercise capacity parameters between lean and obese women. A total of 225 healthy obese women 18-65 years (BMI> or=30 kg/m(2)) and 81 non-athletic lean women (BMI< or=26 kg/m(2)) were selected. Anthropometric measurements (weight and height), body composition assessment (bioelectrical impedance method) and a maximal exercise capacity test on a bicycle ergometer were performed. Oxygen uptake (VO(2)), carbon dioxide production (VCO(2)), expired ventilation (VE), respiratory quotient (RQ), breathing efficiency (VE/VO(2)), mechanical efficiency (ME) and anaerobic threshold (AT) were calculated. At a submaximal intensity load of 70 W, VO(2) (l/min) was larger in the obese women and was already 78% of their peak VO(2), whereas in the non-obese it was only 69% (P=0.0001). VE (l/min) was larger, VE/VO(2) did not differ and ME was lower in obese compared to the lean women. AT occurred at the same percentage of peak VO(2) in both lean and obese women. At peak effort, achieved load, terminal VO(2) (l min(-1) kg(-1)), VE, heart rate, RQ respiratory exchange ratio and perceived exertion were lower in obese subjects compared to the non-obese. Obese subjects mentioned significantly more musculoskeletal pain as a reason to end the test, whereas in lean subjects it was leg fatigue. Lean women recovered better as after 2 min they were already at 35% of the peak VO(2), whereas in the obese women it was 47% (P=0.0001). Our results confirm that exercise capacity is decreased in obesity, both at submaximal and peak intensity, and during recovery. Moreover, at peak effort musculoskeletal pain was an important reason to end the test and not true leg fatigue. These findings are important when designing exercise programs for obese subjects.
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