QT and QTc dispersion are accurate predictors of cardiac death in newly diagnosed non-insulin dependent diabetes: cohort study.
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Biomedical subjects
Publications and source records attributed to R T Jung.
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Weight change and glycaemic control in 132 diabetic patients previously treated for 1 year by four different methods aimed at weight loss were reanalysed 4 years after the outset. The four treatment groups comprised clinic visits, home visits, behavioural group therapy, and dexfenfluramine given for the initial 3 months followed by clinic visits. When analysed on an intention to treat basis only the dexfenfluramine group maintained a significant weight loss at year 4 (mean -2.46 kg) with 43% of patients losing 3 kg or more; HBA1c was not decreased. The other treatment groups showed overall weight regain from year 1 to year 4. Within the home visit group however, the number of patients losing at least 3 kg doubled between years 1 (21%) and 4 (38%). When analysed on a completion basis, weight loss in the dexfenfluramine group was significant in females but not in males at year 4. During the 4 years of observation a cohort of 54 patients reflecting our routine clinic practice gained on average 0.35 kg. Although now withdrawn, the use of an appetite suppressant dexfenfluramine for just 3 months would appear to have a long-term advantage on weight loss in this diabetic population, although the weight lost was not associated with improvement in glycaemic control.
OBJECTIVE: There are few U.K. data on the incidence rates of amputation in diabetic subjects compared with the nondiabetic population. RESEARCH DESIGN AND METHODS: We performed a historical cohort study of first lower-extremity amputations based in Tayside, Scotland (population 364,880) from 1 January 1993 to 31 December 1994. The Diabetes Audit and Research in Tayside Scotland (DARTS) database was used to identify a prevalence cohort of 7,079 diabetic patients on 1 January 1993. We estimated age-specific and standardized incidence rates of lower-limb amputations in the diabetic and nondiabetic cohorts. Results were compared with a previous study that evaluated lower-extremity amputations in diabetic patients in Tayside in 1980-1982. RESULTS: There were 221 subjects who underwent a total of 258 nontraumatic amputations. Of the 221 subjects, 60 (27%) patients were diabetic (93% NIDDM), and 63% were first amputations. The median duration of diabetes was 6 years (range: newly diagnosed to 41 years). Nonhealing ulceration (31%) and gangrene (29%) were the two main indications for amputation in the diabetic subjects. Of the 161 nondiabetic subjects, 140 (80%) underwent first amputations. The adjusted incidences in the diabetic and nondiabetic groups were 248 and 20 per 100,000 person-years, respectively. Tayside patients with diabetes thus had a 12.3-fold risk of an amputation compared with nondiabetic residents (95% CI 8.6-17.5). The estimated proportion of diabetic patients in the population rose from 0.81% in 1980-1982 to 1.94% in 1993-1994, whereas the absolute rate of amputation in diabetic subjects was unchanged from that in 1980-1982. CONCLUSIONS: These population-based U.K. amputation data are similar to amputation rates in the U.S. Amputation rates appear to have decreased significantly since 1980-1982. The impact of diabetes education and prevention programs that target the processes leading to amputation can now be evaluated.
OBJECTIVES: To identify all patients with diabetes in a community using electronic record linkage of multiple data sources and to compare this method of case ascertainment with registers of diabetic patients derived from primary care. DESIGN: Electronic capture-recapture linkage of records included data on all patients attending hospital diabetes clinics, all encashed prescriptions for diabetes related drugs and monitoring equipment, all patients discharged from hospital, patients attending a mobile unit for eye screening, and results for glycated haemoglobin and plasma glucose concentrations from the regional biochemistry database. Diabetes registers from primary care were from a random sample of eight Tayside general practices. A detailed manual study of relevant records for the 35,144 patients registered with these eight general practices allowed for validation of the case ascertainment. SETTING: Tayside region of Scotland, population 391,274 on 1 January 1996. MAIN OUTCOME MEASURES: Prevalence of diabetes; population of patients identified by different data sources; sensitivity and positive predictive value of ascertainment methods. RESULTS: Electronic record linkage identified 7596 diabetic patients, giving a prevalence of known diabetes of 1.94% (0.21% insulin dependent diabetes, 1.73% non-insulin dependent): 63% of patients had attended hospital diabetes clinics, 68% had encashed diabetes related prescriptions, 72% had attended the mobile eye screening unit, and 48% had biochemical results diagnostic of diabetes. A further 701 patients had isolated hyperglycaemia (plasma glucose > 11.1 mmol/l) but were not considered diabetic by general practitioners. Validation against the eight general practices (636 diabetic patients) showed electronic linkage to have a sensitivity of 0.96 and a positive predictive value of 0.95 for ascertainment of known diabetes. General practice lists had a sensitivity of 0.91 and a positive predictive value of 0.98. CONCLUSIONS: Electronic record linkage was more sensitive than general practice registers in identifying diabetic subjects and identified an additional 0.18% of the population with a history of hyperglycaemia who might warrant screening for undiagnosed diabetes.
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OBJECTIVES: To determine the effects of obesity on fasting plasma leptin levels and assess the effects of feeding on plasma leptin and OB gene expression in subcutaneous adipose tissue in non-diabetic subjects. DESIGN: Blood and subcutaneous adipose tissue needle biopsy samples were obtained after an overnight fast and 1, 2 and 3 h following a mixed meal (606 kcal). SUBJECTS: Eighteen female subjects: eight lean with a mean age of 40.1 yr (range 20-65) and mean body mass index of 22.24 kg/m2 (range 18.6-26.6) and ten obese subjects with a mean age of 48.6 yr (range 29-71) and body mass index of 33.53 kg/m2 (range 28.7-41.7). RESULTS: Apart from obesity the only significant difference between groups was a 2.6 fold higher fasting plasma leptin concentration in obese subjects compared to leans (26.9 +/- 2.9 vs 10.2 +/- 2.22 (P < 0.05) respectively). Adipose tissue OB mRNA levels were not significantly higher in the obese group. Plasma leptin correlated with BMI and visceral fat weight in lean subjects only. No significant association between plasma leptin and adiposity was evident in obese patients. In addition, there was no association between plasma leptin and the insulin: glucose ratio (an index of insulin sensitivity). Following a mixed meal, post-prandial plasma insulin levels were significantly increased, with a concomitant significant reduction in plasma NEFA levels in both groups. Despite the large increase in plasma insulin, there were no post-prandial changes in either plasma leptin concentrations or subcutaneous adipose tissue OB mRNA levels in either lean or obese subjects. CONCLUSIONS: The data indicate that plasma leptin levels are correlated with the degree of adiposity, especially in lean subjects, and confirm that circulating leptin levels are greater in obese subjects than lean subjects. The present study also failed to show a significant association between plasma leptin and insulin sensitivity in lean and obese women. Furthermore, plasma leptin and subcutaneous adipose tissue OB gene expression are not under short term regulation following feeding in fasted lean or obese female subjects.
Obesity is associated with the development of some of the most prevalent diseases of modern society. The greatest risk is for diabetes mellitus where a body mass index above 35 kg/m2 increases the risk by 93-fold in women and by 42-fold in men. The risk of coronary heart disease is increased 86% by a 20% rise in weight in males, whereas in obese women the risk is increased 3.6-fold. Elevation of blood pressure, hyperlipidaemia and altered haemostatic factors are implicated in this high risk from coronary heart disease. Gallbladder disease is increased 2.7-fold with an enhanced cancer risk especially for colorectal cancer in males and cancer of the endometrium and biliary passages in females. Endocrine changes are associated with metabolic diseases and infertility, and respiratory problems result in sleep apnoea, hypoventilation, arrhythmias and eventual cardiac failure. Obesity is not a social stigma but an actual disease with a major genetic component to its aetiology and a financial cost estimated at $69 billion for the USA alone.
OBJECTIVE: To evaluate the association between the use of ACE inhibitors and hospital admission for severe hypoglycemia and to explore the effects of potential confounding variables on this relationship. RESEARCH DESIGN AND METHODS: The association between the use of ACE inhibitors and the incidence of hypoglycemia is controversial. A recent study reported that 14% of all hospital admissions for hypoglycemia might be attributable to ACE inhibitors. We performed a nested case-control study, using a cohort of 6,649 diabetic patients taking insulin or oral antidiabetic drugs, on the Diabetes Audit and Research in Tayside, Scotland (DARTS) database. From 1 January 1993 to 30 April 1994, we identified 64 patients who had been admitted to Tayside hospitals with hypoglycemia and selected 440 control patients from the same cohort. RESULTS: Hypoglycemia was associated with the use of ACE inhibitors (odds ratio [OR] 3.2, 95% CI 1.2-8.3, P = 0.023), whereas use of beta-blockers and calcium antagonists was not associated with an increased risk of hospitalization for hypoglycemia with ORs of 0.9 (95% CI 0.3-3.3) and 1.7 (95% CI 0.2-2.1), respectively. There were significant differences between case and control patients in type of diabetes treatment, diabetes duration, place of routine diabetes care, and congestive cardiac failure. These differences did not confound the relationship between ACE inhibitors and hypoglycemia (adjusted OR 4.3, 95% CI 1.2-16.0). CONCLUSIONS: The results show that the association between ACE inhibitor therapy and hospital admission for severe hypoglycemia is not explained by these confounding factors. Although ACE inhibitors have distinct advantages over other antihypertensive drugs in diabetes, the risk of hypoglycemia should be considered.
Insulin and sulphonylurea therapies have both been reported to cause weight gain in Type 2 diabetic patients whereas metformin does not have this adverse effect. The mechanism for this difference is unclear. We have investigated in a cross-over study the effect of sulphonylurea and metformin therapy on energy expenditure and body composition in 10 Type 2 diabetic patients (7 females, 3 males) of various weights (mean body mass index 33.4 (SD 7.6 kg m-2)). Free living total energy expenditure was measured over 14 days by the doubly labelled water method adjusted for urinary glucose energy losses and resting energy expenditure by ventilated hood indirect calorimetry. Overall, total energy expenditure (12.88 +/- 4.17 vs 13.1 +/- 3.69 MJ 24 h-1) and resting metabolic rate (7.30 +/- 1.75 vs 7.23 +/- 1.74 MJ 24 h-1) were similar on metformin and sulphonylurea therapy, respectively. When adjusted for differences in fat free mass, resting metabolic rate on sulphonylurea therapy was slightly but significantly lower (mean difference -5.5 kJ 24 h-1 kg-1, 95% CI -1.2, -9.9 kJ 24 h-1 kg-1, p < 0.05). Fat free mass also increased significantly by 1.3 kg (95% CI 0.4, 2.4 kg, p < 0.05) when on sulphonylurea therapy, thus compensating for the lower resting metabolic rate per kg fat free mass to leave overall resting metabolic rate unchanged compared to metformin therapy. We also investigated the effect of adding metformin to six Type 2 diabetic patients already on insulin. This did not lead to any measurable changes in any of the components of energy expenditure.(ABSTRACT TRUNCATED AT 250 WORDS)
Four weight reduction strategies were investigated in a diabetic population who previously had shown little motivation to lose weight. Some 409 patients, body mass index 28-45 were invited to participate. Only 51% replied, although 22 patients (5.4%) lost > 3 kg by invitation alone. The study comprised 159 patients, randomly allotted to either regular clinic visits, behavioural group therapy, dexfenfluramine (30 mg d-1 for initial 3 months) or combined home and clinic visits. A further 58 patients were monitored as controls. At 3 months the best weight loss (intention to treat) was achieved using dexfenfluramine with mean weight losses of 1.6, 1.2, 3.4, and 1.7 kg, respectively, in each group. At 1 year weight losses were similar (1.2, 1.8, 2.8, 1.2 kg, respectively) but contrasted with a mean 1.2 kg weight gain in the controls. Some 38% lost > 3 kg on dexfenfluramine compared to 19-23% for the others. In those who completed the study, weight loss was similar with behavioural therapy (3 kg) or dexfenfluramine (3.2 kg). We conclude that intensive dietetic efforts can reverse the weight increase in the diabetic population although weight loss is minimal. Dexfenfluramine was most effective in the short term, behavioural therapy useful long term but only in those who remained within the group; home visits offered no advantage.
A total of 748 patients on L-thyroxine with a suppressed serum TSH were requested to reduce their dose and this was achieved in 601 patients. Thyroxine dosage was reduced by 25 or 50 micrograms of L-thyroxine and patients were reviewed six months later. Of all 601 patients, 54.4% remained with a suppressed serum TSH despite dose reduction and in 5.8% an elevated serum TSH resulted. 25 micrograms reductions and 50 micrograms reductions were equally likely to result in an detectable but non-elevated serum TSH (42.8% vs 34.1% ns) but 25 micrograms reductions were less likely to result in an elevated serum TSH (3.8% vs 10.0% p < 0.01). Only 7/601 patients in the study (1.2%) appeared to require a dose of over 150 micrograms. If dose reduction is thought to be necessary for patients with a suppressed serum TSH, we would recommend 50 micrograms reductions if the original dose is 200 micrograms or more, and 25 micrograms reductions if the original dose is 175 micrograms or less.
OBJECTIVES: We assessed whether the obesity observed in growth hormone deficient adults is maintained by a reduction in energy expenditure. We studied the effects of exogenous growth hormone on energy expenditure and body composition. DESIGN: We performed an open study with growth hormone administered at 0.5 units per kilogram ideal body weight per week for 3 months. PATIENTS: Seven growth hormone deficient adults were studied. Thirty-eight healthy volunteers had their resting metabolic rate measured, with seven of them proceeding to have their total energy expenditure assessed. MEASUREMENTS: Total energy expenditure was measured by the doubly labelled water method (D2O18), resting metabolic rate by ventilated hood indirect calorimetry, and fat free mass from the dilution volume of oxygen-18. Body composition and components of energy expenditure were assessed before, at 2 weeks and at the end of the 3-month treatment period on exogenous growth hormone. RESULTS: Growth hormone deficient adults did not have a low total energy expenditure compared to healthy controls (13.12 vs 12.75 MJ/24 h) with only one patient expending less than 10 MJ/24 h. None had a resting metabolic rate lower than the 95% confidence limits of normality. The amount of energy expended on physical activity and thermogenesis was significant (6.54 MJ/24 h) and was similar to healthy controls (6.47 MJ/24 h). Resting metabolic rate increased by 15.9% after 14 days on exogenous growth hormone and was elevated 12.1% after 3 months treatment but the ratio to fat-free mass remained unaltered. Total energy expenditure increased by 13.4% after 14 days therapy. Fat-free mass increased significantly after 3 months treatment by (mean) 4.5 kg with no change in fat mass and no loss in body weight. CONCLUSIONS: Obesity maintenance in growth hormone deficient adults is not a consequence of reduced total energy expenditure or a reduced exercise energy output. There was also no evidence for an energy sparing mechanism. Energy expenditure was increased by exogenous growth hormone but was not associated with a loss in fat mass or body weight suggesting the need for dietetic advice for those already obese at the outset of therapy.
OBJECTIVES: Weight gain had previously been thought to be due to increased calorie intake alone though no information on its effect on total energy expenditure is available in humans. We therefore assessed whether weight gain associated with glucocorticoids is due to a reduction in energy expenditure. DESIGN: We performed an open study with 1 mg of betamethasone given orally twice a day for 21 days. SUBJECTS: Seven healthy female volunteers, age range 26-55 years, body mass index 19 to 40, mean 27 kg/m2. MEASUREMENTS: Total free living energy expenditure was measured by the doubly labelled water method (D2 18O), resting metabolic rate by ventilated hood indirect calorimetry and fat free mass from the dilution volume of oxygen-18 labelled water. Body composition and components of energy expenditure were assessed before and during the final 14 days of betamethasone administration. RESULTS: Weight increased by a mean of 1.2 kg (P < 0.05) because of a significant rise in fat mass (1.5 kg) with no change in fat free mass. Resting metabolic rate remained unaltered on betamethasone but total energy expenditure increased in all subjects with a significant mean rise of 26% from 11.7 to 14.7 MJ/24 h (P < 0.05). The energy component of physical activity with thermogenesis increased on average 52% (from 5.8 to 8.9 MJ/24 h; P < 0.05). The rise in energy expenditure was still apparent after correction for the increase in body weight. Fasting respiratory quotient (RQ) increased from 0.81 to 0.86 with no change in fasting blood glucose. Betamethasone did not result in an energy sparing effect on the two components of energy expenditure studied. CONCLUSIONS: Body weight increased on betamethasone entirely due to an increase in fat mass. This occurred despite a rise in total energy expenditure which involved specifically that component accounted for by physical activity plus thermogenesis. The most likely explanation is that betamethasone increased dietary energy intake significantly in excess of expenditure. We estimate that an average extra energy intake of 2.8 MJ/day would have had to be consumed for this rise in fat mass to occur even before taking into account the energy intake cost of the rise in expenditure.
OBJECTIVES: To compare the effectiveness of a mobile screening unit with a non-mydriatic polaroid camera in detecting diabetic retinopathy in rural and urban areas. To estimate the cost of the service. DESIGN: Prospective data collection over two years of screening for diabetic retinopathy throughout Tayside. SETTING: Tayside region, population 390,000, area 7770 km2. SUBJECTS: 961 patients in rural areas and 1225 in urban areas who presented for screening. MAIN OUTCOME MEASURES: Presence of diabetic retinopathy, need for laser photocoagulation, age, duration of diabetes, and diabetic treatment. RESULTS: Compared with diabetic patients in urban areas, those in rural areas were less likely to attend a hospital based diabetic clinic (46% (442) v 86% (1054), p < 0.001); less likely to be receiving insulin (260 (27%) v 416 (34%), p < 0.001 and also after correction for differences in age distribution); more likely to have advanced (maculopathy or proliferative retinopathy) diabetic retinopathy (13% (122) v 7% (89), p < 0.001); and more likely to require urgent laser photocoagulation for previously unrecognised retinopathy (1.4% (13) v 0.5% (6), p < 0.02). The screening programme cost 10 pounds per patient screened and 1000 pounds per patient requiring laser treatment. CONCLUSION: The mobile diabetic eye screening programme detected a greater prevalence of advanced retinopathy in diabetic patients living in rural areas. Patients in rural areas were also more likely to need urgent laser photocoagulation. Present screening procedures seem to be less effective in rural areas and rural patients may benefit more from mobile screening units than urban patients.
Obesity is a common problem among Type 2 diabetic patients. To investigate the role of energy expenditure in the maintenance of obesity in diabetic subjects, total energy output was measured during weight stability in 23 diabetic patients: 8 lean, 5 overweight, and 10 obese. Free living total energy expenditure was measured over 14 days using doubly labelled water method, resting metabolic rate by indirect calorimetry, and urinary energy losses were assessed. Total energy output was higher in the obese (13.66 +/- SD 3.18 MJ 24 h-1) than normal weight patients (10.84 +/- 2.02 MJ 24 h-1; p < 0.05); 11.96 +/- 2.51 MJ 24 h-1 in the overweight. None of the lean but four of the obese had total energy output > 16 MJ 24 h-1. Urinary energy losses accounted for only 0.6% of total energy output in lean, 2.8% in overweight, and 3.1% in obese. Resting metabolic rate was significantly higher in obese (7.47 +/- 1.69 MJ 24 h-1) compared to lean (5.87 +/- 1.07; p < 0.05) and resting metabolic rate correlated with lean body mass (r = 0.8, p < 0.001). Thermogenesis plus physical activity was substantial and not lower in the obese (5.77 versus lean 4.97 MJ 24 h-1). The mean ratio of total energy expenditure to resting metabolic rate was in the moderate exercise category and similar in lean (1.87) and obese (1.80). Resting metabolic rate, total energy expenditure, and thermogenesis and physical activity were similar in all three groups when corrected for differences in lean body mass.(ABSTRACT TRUNCATED AT 250 WORDS)
Fourteen children receiving one year of recombinant human growth hormone (rhGH) treatment underwent measurement of serial changes in body composition (measured by skinfold thickness, bioelectrical impedance, and H2(18)O dilution), resting energy expenditure (REE, estimated by ventilated hood indirect calorimetry), and total free living daily energy expenditure (TEE, measured by the doubly labelled water technique). Mean height velocity increased from 4.9 to 8.6 cm/year after six months of treatment. Fat free mass (FFM) increased more during the first six weeks (24.4 g/day) than from six to 26 weeks of treatment (6.8 g/day); fat mass decreased by 7.2 g/day and 1.1 g/day respectively. The six week increase in REE (kJ/day) was maintained after six months of treatment, though expressed per kilogram FFM (kJ/kgFFM/day), returned to pretreatment values by three months. Height velocity increases at six months correlated with six week changes in fat mass measured by skinfold thickness and REE, though use of this relationship to predict growth response in individuals is limited by the wide 95% prediction intervals. No significant changes in growth, body composition, or energy expenditure were observed between six and 12 months of treatment, in either patients who had initially responded well to treatment or those who were poor initial responders to treatment and who had their dose of rhGH doubled after six months.
A patient with disseminated ovarian carcinoma presented with symptoms of hypocalcaemia secondary to hypomagnesaemia. The low serum magnesium (0.4 mmol/l) appeared to be due to renal leakage with no evidence of ureteric obstruction or hydronephrosis on intravenous urogram. Parathyroid hormone activity (serum levels and cAMP response) was normal, despite hypomagnesaemia. The patient's complaints resolved after magnesium and calcium supplementation. Hypomagnesaemia of malignancy is a rare but important complication, and is both poorly recognized and understood.
We have reviewed the clinical, investigative and pathological findings in 16 patients with primary hyperaldosteronism, 6 with idiopathic adrenal hyperplasia and 10 with an aldosterone-producing adenoma. The ratio of serum aldosterone to plasma renin activity was > 1400 pmol/micrograms/l/h in all patients when measured supine on a normal salt diet, negating the need for salt loading to confirm primary hyperaldosteronism. Postural changes in serum aldosterone confirmed the presence of an aldosterone-producing adenoma in all but one patient when results on normal and high salt intakes were reviewed together. Nevertheless, the need for salt loading for discrimination is questioned, as the combination of postural changes in serum aldosterone on normal salt intake combined with CT confirmed and localized all aldosterone-producing adenomas. Urinary aldosterone measurements were of little value. Localizing procedures consisting of CT and isotopic scanning using 75Se-seleno-methyl-cholesterol proved most useful; adrenal venous sampling yielded less useful information. The latter may be due to the high predominance of patients (8) showing a background of micronodular hyperplasia with a dominant aldosterone-producing tumour. Only three of these patients have remained normotensive and normokalaemic on no medication. The presence of micronodular background suggests the need for life-long monitoring of such patients.