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Diabetes Diagnosis (diabetes + diagnosis)

Distribution by Scientific Domains

Medical Sciences	75%

Selected Abstracts

Maternal diabetes and renal agenesis/dysgenesis,,

BIRTH DEFECTS RESEARCH, Issue 9 2010
Erin M. Davis
Abstract BACKGROUND: Renal agenesis and dysgenesis are potentially lethal congenital malformations affecting 2 to 5 infants per 10,000 live births annually in the United States. The low prevalence of these malformations has complicated understanding of potential risk factors. Maternal diabetes (type 1, type 2, and gestational) has been evaluated extensively as a risk factor for other congenital malformations, but only a limited number of studies have assessed the association between diabetes and renal agenesis. METHODS: We conducted a population-based case-control study of deliveries after 20 weeks gestation in Texas Health Service Region 6 (Houston/Galveston area) from January 1, 2000 to December 31, 2002. Cases of renal agenesis/dysgenesis (n = 89) were ascertained from the Texas Birth Defects Registry. Cumulative incidence sampling was used to randomly select, from birth and fetal death records, 356 controls frequency matched to cases by delivery year and vital status. Maternal diabetes and other covariates were collected from vital records. RESULTS: The odds of renal agenesis/dysgenesis were 3.1 (95% confidence interval [CI], 1.1,9.3) times greater among deliveries of mothers with diabetes compared to deliveries of mothers without diabetes, controlling for matching factors. CONCLUSIONS: Our results are consistent with prior, but limited, research identifying diabetes as a risk factor for renal agenesis/dysgenesis. While these data did not differentiate diabetes diagnoses by type, the results suggest that maternal diabetes may be associated with renal malformations. Further study is warranted. Birth Defects Research (Part A), 2010. © 2010 Wiley-Liss, Inc. [source]

Emergencies in diabetes diagnosis, management and prevention

DIABETIC MEDICINE, Issue 6 2005
S. Page
[source]

A combination of HbA1c, fasting glucose and BMI is effective in screening for individuals at risk of future type 2 diabetes: OGTT is not needed

JOURNAL OF INTERNAL MEDICINE, Issue 3 2006
M. NORBERG
Abstract. Objective., To identify a screening model that predicts high risk of future type 2 diabetes and is useful in clinical practice. Design and methods., Incident case-referent study nested within a population-based health survey. We compared screening models with three risk criteria and calculated sensitivity, specificity, positive (PPV) and negative (NPV) predictive values and attributable proportion. We used fasting plasma glucose (FPG) alone or with an oral glucose tolerance test (OGTT), glycosylated haemoglobin A (HbA1c) (normal range 3.6,5.3%), body mass index (BMI), triglycerides and family history of diabetes (FHD). Setting., Participants in a health survey at all primary care centres (n = 33 336) and subjects with diagnosed type 2 diabetes in primary and hospital care (n = 6088) in Umeå during 1989,2001. Subjects., Each of the 164 subjects who developed clinically diagnosed type 2 diabetes (median time to diagnosis of 5.4 years) and 304 sex- and age-matched referents without diabetes diagnosis. Results., Screening models with at least one criterion present had sensitivities of 0.90,0.96, specificities of 0.43,0.57 and PPVs of 8,9%. Combinations of the criteria, FPG , 6.1 mmol L,1 (capillary plasma), HbA1c , 4.7% and BMI , 27 in men and BMI , 30 in women, had sensitivities, specificities and PPVs of 0.66%, 0.93% and 32%, and 0.52%, 0.97% and 46% respectively. Using FHD as one of three risk criteria showed comparable results. Addition of triglycerides or OGTT did not improve the prediction. Conclusions., The combination of HbA1c, FPG and BMI are effective in screening for individuals at risk of future clinical diagnosis of type 2 diabetes. OGTT or FHD is not necessary. [source]

Lipids, lipoproteins and the risk of benign prostatic hyperplasia in community-dwelling men

BJU INTERNATIONAL, Issue 3 2008
J. Kellogg Parsons
OBJECTIVE To examine the associations of serum lipids and lipoproteins with benign prostatic hyperplasia (BPH) in community-dwelling men. SUBJECTS AND METHODS This analysis was conducted within the Rancho Bernardo Study, a prospective, community-based cohort study. BPH was defined as a history of prostate surgery for other than cancer, or a medical diagnosis of BPH. Logistic regression modelling, with adjustments for age and stratification by diabetes diagnosis, was used to estimate the odds ratio (OR) of BPH associated with fasting serum concentrations of total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, and the triglyceride to HDL ratio. RESULTS Among 531 eligible participants, 259 (48%) reported BPH and 272 (52%) reported no BPH. Men with BPH, with a mean (range) age of 75.8 (76.1,80.1) years, were older than men without BPH , at 72.7 (72.4,74.0) years. There were no significant associations of total cholesterol (P trend, 0.52), HDL cholesterol (0.56), triglycerides (0.30), or triglyceride to HDL ratio (0.13) with the risk of BPH. In a subset analysis in men with diabetes, those in the highest tertile (>133 mg/dL) of LDL cholesterol, compared with those in the lowest tertile (<110 mg/dL), were four times more likely to have BPH (odds ratio 4.00, 95% confidence interval 1.27,12.63, P trend 0.02). These results were not explained by the use of statins. CONCLUSIONS In these community-dwelling men, higher serum LDL was associated with a greater risk of BPH among diabetics. These data suggest that diabetic men with increased LDL cholesterol are at greater risk of BPH. This observation is consistent with the concept that cardiac risk factors are involved with the pathogenesis of BPH. [source]