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Biomedical subjects

S Bo

Publications and source records attributed to S Bo.

At least 19 recordsLinked to original sources

Should we consider gestational diabetes a vascular risk factor?

Few and contrasting data have reported vascular endothelial dysfunction and increased serum levels of endothelial dysfunction and inflammatory markers in women with previous gestational diabetes mellitus (pGDM). We aimed at evaluating 6.5 years after delivery: intimal medial thickness (IMT), and C-reactive protein (CRP), interleukin-6 (IL-6), E-selectin, intercellular adhesion molecule-1 (ICAM-1), vascular adhesion molecule-1 (VCAM-1) levels in 82 non-pregnant pGDM and 113 control women without pGDM. A subgroup of 21 women, taken from the pGDM group, showing current normal BMI, and no metabolic abnormalities, was separately analysed. All the subjects were free of medication and non-smokers. Women with pGDM, independently by their current BMI and presence of metabolic abnormalities, showed significantly higher E-selectin, ICAM-1 and IMT values than controls. IMT proved to be significantly associated with pGDM in a regression model, after adjustments for BMI, waist circumference, blood pressure, and glucose values (beta=0.046; 95% CI 0.028-0.064). In all pGDM women, E-selectin, ICAM-1, IL-6 and hs-CRP values were significantly associated with IMT in the same model. Post-GDM women, despite being currently free from metabolic abnormalities, showed higher values of markers of endothelial dysfunction and IMT than controls, consistent with an increased future cardiovascular risk.

Adult↗

Insulin resistance in pre-school very-low-birth weight pre-term children.

AIMS: To evaluate the metabolic pattern of a group of pre-school small- (SGA) and appropriate-for-gestational age (AGA) pre-term very-low-birthweight (VLBW) (<1500 gr) Italian children and retrospectively verify if the growth rate in the first years of life is associated to the laboratory and anthropometric characteristics of these children. METHODS: 58 (16 SGA, 42 AGA) VLBW children, without major congenital malformations/conditions were enrolled; their anthropometric, clinical and (in 34 of them) laboratory characteristics were evaluated at pre-school age (> 2<6 years of corrected age). RESULTS: Clinical, anthropometric and laboratory characteristics at pre-school age were similar in SGA and AGA. Sixty-nine percent of SGA and 51% of AGA children showed a significant weight centile crossing (CC) at 24 months. Fasting serum glucose, insulin and insulin resistance (evaluated by the Homeostasis Model Assessment -HOMA-IR-) were higher in AGA and SGA with CC. The increment in weight standard deviation scores from birth-to-24 months was significantly associated with pre-school BMI SDS, waist, fasting insulin, and HOMA-IR values, both in unadjusted and adjusted models. In a multiple regression model, after multiple adjustments, this increment is the only significant predictor of pre-school insulin (B = 0.19; 95%CI 0.07-0.31; P = 0.006) and HOMA-IR levels (B = 0.20; 95%CI 0.08-0.32; P = 0.004) both in SGA and AGA children. CONCLUSIONS: The adverse metabolic pattern of pre-school VLBW children seems related to post-natal events (rapid weight growth) independently by their being small- or appropriate-for gestational age.

Aging↗

Evaluating hospital costs in type 2 diabetes care: does the choice of the model matter?

BACKGROUND: Awareness of the economic burden of diabetes has led to a number of studies on economic issues. However, comparison among cost-of-illness studies is problematic because different methods are used to arrive at a final cost estimate. OBJECTIVE: The aim of the study is to show how estimates of hospitalisation costs for diabetic patients can vary significantly in relation to the statistical method adopted in the analysis. RESEARCH DESIGN AND METHODS: The study analyses diabetic patients' costs as a function of demographic and clinical covariates, by applying the following statistical survival models: the parametric survival model assuming Weibull distribution, the Cox proportional hazard (PH) model and the Aalen additive regression for modelling costs. The Aalen approach is robust both for the non proportionality in hazard and for departures from normality. In addition it is able to easily model the effect of covariates on the extreme costs. This cost analysis is based on data collected for a retrospective observational study analysing repeated hospitalisations (N = 4816) in a cohort of 3892 diabetic patients. RESULTS: There is agreement in all models with the effects of the considered covariates (age, sex, duration of disease and presence of other pathologies). An effect of over- or under-estimation, according to the chosen model due to arguably inappropriate model fitting, was observed, being more evident for some specific profiles of the patients, and overall accounting for as much as 20% of the estimated effect. The Aalen model was able to cope with all the other models in furnishing unbiased estimates with the advantage of a greater flexibility in representing the covariates' effect on the cost process. CONCLUSIONS: An appropriate choice of the model is crucial in avoiding misinterpretation of cost determinants of type 2 diabetes care. For our data set the Aalen model proved itself to be a realistic and informative way to characterise the effect of covariates on costs.

Adult↗

Comparison of two enzyme immunometric assays to measure tumor necrosis factor-alpha in human serum.

BACKGROUND: Tumor necrosis factor-alpha is a 17.5 kDa, 157 amino acid protein that is a potent lymphoid factor, which exerts cytotoxic effects on a wide range of tumor cells and other target cells. TNF-alpha has been suggested to play a pro-inflammatory role by influencing transendothelial migration of monocytes and elicits the expression of proteolytic enzymes by macrophages and smooth muscle cells within the atherosclerotic plaque. METHODS: We compared two methods for the quantitative determination of human tumor necrosis factor-alpha in serum samples. Either kit follows the same assay procedure. Serum samples do not need to be diluted before sampling. Standard is provided lyophilized and serial dilutions after reconstitution generate the standard point curves. The tests are enzyme immunometric assays based on a standard 96-well microtiter plate. The wells are coated with anti-human TNF-alpha antibody. RESULTS: The range of the standard curve is similar in both kits. It spans from 1000 through 15.6 pg/mL. The median TNF-alpha concentration in samples measured by Pierce assay (n=368) was 4.23 pg/mL, (range, 1.34-77.2 pg/mL). A very different median was obtained for the same specimen measured with the Titerzyme EIA (median, 176.96 pg/mL; range, 54.7-283.9 pg/mL; n=364). Substantial significant differences were observed between the two methods. CONCLUSION: Our results show that the two kits are unmatchable for results they can give when TNF-alpha concentrations are measured in serum samples. One reason of this disagreement could be the matrix effect or a cross-reactivity of one of the two methods. This study shows that the determination of human serum TNF-alpha needs to be standardized, especially when a comparison of results is required.

Calibration↗

Mortality within the first 10 years of the disease in type 2 diabetic patients.

BACKGROUND AND AIMS: An excess of long-term mortality in type 2 diabetes is mainly due to cardiac diseases, predicted by diabetes-related conditions; less is known about early death from clinical diagnosis. The aim of this study was to evaluate pattern and predictors of mortality after a 4.5 year follow-up in a cohort of type 2 diabetic patients, according to diabetes duration. METHODS AND RESULTS: A mortality follow-up was carried out in 1200 patients with < or = 5 years diabetes duration and 2692 patients with >5 (median 2 and 15) years diabetes duration in 1995. Four-year survival was 92.0% and 83.7%, respectively; most deaths are due to cardiovascular diseases (36% and 41%, respectively). The duration of diabetes is no longer a significant predictor of death after adjustments for age, HbA1c and chronic complications (which are all significantly higher in patients who have had diabetes for longer time). In a Cox proportional hazard model, best predictors of death are nephropathy, insulin therapy and pre-existent co-morbidity in both groups. Nephropathy is significantly associated with cardiovascular deaths in the younger cohort. CONCLUSION: Clinical nephropathy is a significant predictor of early and late mortality from clinical diagnosis, above all cardiovascular deaths, indicating that an aggressive approach should be adopted for prevention or treatment of renal impairment right from the clinical onset of diabetes.

Age Factors↗

C-reactive protein and tumor necrosis factor-alpha in gestational hyperglycemia.

OBJECTIVES AND STUDY DESIGN: Increasing evidences support an inflammatory origin for gestational hyperglycemia. This paper aims at investigating, cross-sectionally and prospectively, the relationships between tumor necrosis factor-alpha (TNF-alpha) and C-reactive protein (CRP) levels in normoglycemic and hyperglycemic pregnancies of women with and without conventional risk factors for gestational diabetes (GDM). RESULTS: Both at simple and multiple correlations TNF-alpha levels are associated to fasting insulin, homeostasis model assessment-insulin resistance (HOMA-IR) values and gestational hyperglycemia, while high sensitivity CRP (hsCRP) levels to body mass index (BMI). Furthermore, the TNF-alpha levels of the second trimester and their increments in the third trimester are significant predictors of insulin levels measured at 32-36 weeks in the subgroup of hyperglycemic women with < or = 35 yr, BMI <25 kg/m2 and the absence of a first-degree relative with Type 2 diabetes (respectively, beta=1.1; 95%CI 0.66-1.48; p=0.002 and beta=1.0; 95%CI 0.36-1.66; p=0.02), in a multiple regression model, after multiple adjustments. In a second cohort of women at low risk for GDM (<25 yr, BMI <25 kg/m2 and absence of a first-degree relative with Type 2 diabetes), 24-28 weeks TNF-alpha levels are highly associated with corresponding insulin and HOMA values in the same model (respectively, beta=0.27; 95%CI 0.11-0.43; p=0.001 and beta=0.30; 95%CI 0.14-0.46; p<0.001). CONCLUSIONS: The data support the developing hypothesis that low-grade systemic inflammation is associated to GDM, in particular for pregnant women without conventional risk factors for gestational hyperglycemia, whose insulin resistance seems less explainable.

Adult↗

Relationships between human serum resistin, inflammatory markers and insulin resistance.

OBJECTIVE: Data on the association of resistin levels with markers of insulin resistance are highly contrasting in humans and very few studies about its role in inflammation are available. This study investigates associations between serum resistin levels and markers of insulin resistance, inflammation (C-reactive protein (CRP)) and of oxidative stress (nytrotirosine (NT)). SUBJECTS: A randomly collected sample of 300 men from a population-based cohort was analysed, separated into two groups according to body mass index (BMI) and waist values. RESULTS: Correlations between resistin and BMI, waist, triglyceride, uric acid, fasting glucose, insulin and Homeostasis Model Assessment (HOMA) values were significant in subjects with normal BMI, but not in overweight/obese subjects. In a multiple regression model, after multiple adjustments and exclusion of diabetic patients, only fasting glucose remained significantly associated with resistin levels. Otherwise, resistin is associated to CRP levels in all individuals, after multiple adjustments and exclusion of diabetic patients (in normal BMI beta=0.82; 95% CI 0.21, 1.42; in overweight/obese beta=0.43; 95% CI 0.10, 0.76). In the same model, resistin values are negatively related to NT levels in normal weight individuals (beta=-1.61; 95% CI -0.77-2.45). CONCLUSIONS: Serum resistin is weakly associated with metabolic abnormalities in subjects with normal BMI, while in overweight/obese patients this correlation is not significant, perhaps due to the higher fat content in these subjects. Serum resistin is directly correlated with CRP and inversely to NT. An intriguing hypothesis, which needs to be tested, is that resistin is secreted in response to a chronic low-grade inflammation, and has antioxidant properties.

Biomarkers↗

Does C-reactive protein identify a subclinical metabolic disease in healthy subjects?

BACKGROUND: Highly sensitive C-reactive protein (hs-CRP) levels are significant predictors of subsequent diabetes and metabolic syndrome (MS). Owing the strong correlations between components of the MS and obesity with hs-CRP levels, previous studies about the associations of hs-CRP with insulin resistance might have been confounded by the inclusion of overweight or dysmetabolic subjects. DESIGN: Our aim was to evaluate the associations between hs-CRP levels and fasting insulin and insulin resistance (evaluated by the Homeostasis Model Assessment: HOMA IR) in a subgroup of subjects with normal body mass index (BMI) and without any metabolic abnormalities. Out of a cohort of 1658 middle-aged subjects, representative of the local sanitary districts of the province of Asti (north-western Italy) enrolled for metabolic screening: 241 (14.5%) showed normal BMI, glucose tolerance, blood pressure and waist values and no dyslipidaemia. RESULTS: In this subgroup of subjects, those with hs-CRP levels > or = 3 mg L(-1) showed significantly higher median insulin and HOMA-IR values (respectively: 20.4 vs. 6.0 pmol L(-1), and 0.8 vs. 0.2 microU mL(-1)x mmol L(-1)). In a multiple regression model, insulin and insulin resistance remained significantly and independently related to hs-CRP levels, after adjustments for age, sex, BMI, waist, alcohol consumption, level of physical activity and smoking habits. Very few individuals within lower fasting insulin quartiles showed hs-CRP values > or = 3 mg L(-1) when compared with approximately 60% of those within the highest quartile. CONCLUSIONS: The novel finding is that a state of low-grade systemic inflammation is present in normal BMI subjects who show subclinical insulin resistance but no other metabolic abnormalities.

Body Mass Index↗

Renal damage in patients with Type 2 diabetes: a strong predictor of mortality.

AIMS: (i) To compare mortality rates in a cohort of Type 2 diabetic patients with those of the general population; (ii) to assess the prognostic role of pre-existing chronic conditions; (iii) to evaluate the impact of different severity of renal damage on mortality. METHODS: All 3892 patients with Type 2 diabetes attending our Diabetic Clinic during 1995 and alive on 1 January 1996 were identified and followed for 4.5 years. Information on vital status (100% complete) and causes of death (98.5% complete) for 599 deceased subjects was derived from death certificates. RESULTS: In comparison with the general population, standardized mortality ratios (x 100) were: 125 (95% confidence interval 104-148) in patients aged < 75 and 85 (75-95) in patients > or = 75 years. Cardiovascular diseases and diabetes were responsible for most of the excess deaths. In a Cox-proportional hazard model, renal damage was a powerful predictor of death (hazard ratio = 2.39; 95% confidence intervals = 2.00-2.85). The severity of renal damage was associated with increasing hazard ratios for death from all-cause mortality and from specific causes (especially coronary artery disease, other cardiovascular causes and diabetes) after multiple adjustments. Other significant predictors of death were: greater age, glycated haemoglobin, smoking, lower body mass index, pre-existing coronary and peripheral artery disease and known co-morbidity (cirrhosis and cancer). CONCLUSIONS: Renal damage of any severity is significantly associated with subsequent mortality from all causes and from cardiovascular diseases. These associations are not confounded by pre-existing co-morbidity or coronary diseases.

Age Factors↗

Plasma nitrotyrosine levels, antioxidant vitamins and hyperglycaemia.

AIMS: Studies on plasma nitrotyrosine (NT) levels, a measure of oxidative injury, in diabetes are limited and discordant; the amount of antioxidants might represent a possible explanation for the discordant results. The aim of this paper is to evaluate the association between plasma NT levels and glucose tolerance status, according to antioxidant vitamin intakes. METHODS: In three hundred men randomly selected from a population-based cohort, NT levels were measured and dietary intake assessed by a food-frequency questionnaire. Results NT values were similar in patients with diabetes (n = 34), impaired fasting glucose (n = 77) and normoglycaemic subjects (n = 189). However, in subjects with lower than recommended daily intakes of antioxidant vitamins C and A, NT levels were significantly higher in the diabetic patients. In a multiple regression model, after adjustments for age, body mass index (BMI) and smoking habits, NT levels were significantly associated with fasting glucose in patients with lower intakes of vitamin C (beta = 11.4; 95% CI 1.3-21.5) and vitamin A (beta = 14.9; 95% CI 3.9-25.9), but not in subjects with lower intake of vitamin E. CONCLUSION: A significant positive correlation between NT levels and fasting glucose is evident only in the presence of a reduced intake of some antioxidant vitamins. These findings might explain, at least in part, the discrepant results of previous studies and, if confirmed by further studies, suggest a simple measure (a balanced diet) to alleviate the increased oxidative stress of diabetes.

Age Factors↗

Isolated systolic hypertension in a cohort of type 2 diabetic patients.

BACKGROUND AND AIMS: Previous studies of the adverse effects of isolated and borderline isolated systolic hypertension excluded or under-represented type 2 diabetic patients. The aim of this study was to evaluate the prevalence and role of isolated and borderline isolated systolic hypertension in a cohort of 3892 type 2 diabetic patients. METHODS AND RESULTS: The hypertensive patients were classified as treated (n= 1806; 46.4%), untreated diastolic hypertension (n=407; 10.4%), untreated isolated systolic hypertension (n=166; 4.3%) and untreated borderline isolated systolic hypertension (n=625; 16%). A Cox proportional hazard model including several confounders showed that the patients with untreated isolated systolic hypertension were at significantly higher risk of hospital admissions due to cerebrovascular diseases than the normotensive and untreated diastolic hypertensive patients (HR=2.05; 95% CI: 1.2-3.4 and HR=1.97; 95%CI: 1.1-3.5, respectively). In the same model, borderline isolated systolic hypertension significantly correlated with admissions for cerebrovascular diseases in comparison with normotensive patients (HR=1.73; 95% CI: 1.2-2.6). CONCLUSIONS: This is the first report concerning the prevalence of isolated and borderline isolated systolic hypertension in a large cohort of type 2 diabetic patients. The results are in line with population-based estimates. Our data show that isolated systolic hypertension is an independent predictor of hospital admissions due to cerebrovascular diseases.

Age Distribution↗

Obesity or diabetes: what is worse for the mother and for the baby?

OBJECTIVES: The aim of the present study is to evaluate pregnancy outcomes in a cohort of Caucasian pregnant women in relation to their body mass index and glucose tolerance status; the role of central fat distribution, as indicated by waist-to-hip circumference ratio, was also considered. METHODS: Seven hundred women were studied; they had gestational diabetes or impaired glucose tolerance (250) or normoglycaemia (450). Among them 117 had pre-pregnancy overweight/obesity (44 were obese), 133 hyperglycaemia, but normal weight, and 117 hyperglycaemia and overweight/obesity (42 were obese). RESULTS: Hypertension, cesarean delivery and prevalence of large-for-gestational age babies were higher in obese (both with normoglycaemia and hyperglycaemia), mainly in those with greater gestational weight gain and central fat distribution (waist-to-hip ratio > 0.90). Normal weight hyperglycaemic women showed better outcomes than obese normoglycaemic women did. In a multiple logistic regression model, obesity (OR=10.6; 95% CI 5.00-22.54) was directly related to hypertension, and independent predictors of cesarean section were: gestational hyperglycaemia (OR=1.78; 95% CI 1.21-2.62), gestational weight gain (OR=1.06; 95% CI 1.02-1.10), and central obesity (OR=1.51; 95% CI 1.02-2.24), while obesity (OR=4.48; 95% CI 2.30-8.71) gestational weight gain (OR=1.08; 95% CI 1.03-1.12) and central fat distribution (OR=1.81: 95% CI 1.12-2.93) were directly related to delivering larger babies, after multiple adjustments. CONCLUSION: These results suggest that pre-pregnancy obesity and gestational hyperglycaemia were independent risk factors for different adverse pregnancy and neonatal outcomes, while central distribution of fat, and gestational weight gain play an additive adverse role on these outcomes.

Adult↗

Clinical characteristics and outcome of pregnancy in women with gestational hyperglycaemia with and without antibodies to beta-cell antigens.

AIMS: To evaluate the prevalence of beta-cell autoantibodies in women with gestational diabetes and impaired glucose tolerance, and identify clinical characteristics differentiating hyperglycaemic patients with and without autoantibodies. METHODS: One hundred and twenty-three pregnant patients with gestational diabetes, 84 with impaired glucose tolerance and 290 with normoglycaemia were evaluated for anti-islet cell antibodies, glutamic acid decarboxylase (GAD) autoantibodies, and the components of the metabolic syndrome. RESULTS: Autoantibody positivity was 8.9%, 17.9% and 0.3% in patients with diabetes, impaired tolerance and normoglycaemia, respectively. Hyperglycaemic patients with autoantibodies had lower body mass index, waist, weight gain at the time of the screening test and a lower percentage of previous pregnancies than those without autoantibodies. In addition, their fasting insulin values were significantly lower and inversely related to the presence of autoantibodies (odds ratio (OR) = 0.64; 95% confidence interval (CI) 0.42-0.96), the lowest values being found in anti-GAD+ patients. Autoantibody-positive women with diabetes were more frequently treated with insulin than negative patients (OR = 7.21; 95% CI 1.85-28.08). CONCLUSIONS: Autoantibody-positive women with gestational hyperglycaemia displayed fewer features of insulin resistance and required more frequent insulin therapy than negative women and presumably had presymptomatic Type 1 diabetes. If this conclusion is corroborated by the follow-up of larger series, clinical and immunological distinction of types of gestational hyperglycaemia would be useful.

Adult↗

Two cases of cutaneous nodular dirofilariasis in the cat.

Cutaneous nodular dirofilariasis is occasionally reported in dogs but is rare in cats. This report describes two cases of cutaneous nodular lesions due to Dirofilaria immitis adult parasites in domestic shorthaired cats living in an endemic area in northern Italy.

Administration, Cutaneous↗

Maternal low birth weight and gestational hyperglycemia.

We aimed to investigate whether birth weight could predict the subsequent risk of gestational diabetes and impaired glucose tolerance. Consecutive women with a singleton pregnancy and gestational diabetes (n = 50), impaired glucose tolerance (n = 50) and normoglycemia (n = 200) were included in the study. Birth data were collected from original hospital records of the women. Women with gestational hyperglycemia were significantly older and heavier than those with normoglycemia. Maternal birth weights significantly declined for each class of glucose tolerance (3389 +/- 644; 3184 +/- 583 and 3077 +/- 661, respectively for women with normoglycemia, impaired glucose tolerance and gestational diabetes). After adjustment for age, gestational age and weight gain, maternal diabetes, and pre-pregnancy body mass index, maternal birth weight was negatively related to impaired glucose tolerance (OR 0.88, 95% CI 0.81-0.97) and to gestational diabetes (OR 0.82, 95% CI 0.74-0.91) in a multiple logistic regression model. These findings suggest that women with low birth weight constitute a group at increased risk for both gestational impaired glucose tolerance and diabetes.

Age Factors↗