Non-invasive screening of diabetes risk by assessing abnormalities of sudomotor function.

BACKGROUND: The early detection of diabetes, and subsequent lifestyle intervention, may reduce the burden of diabetes and its complications. Several studies have identified a link between sudomotor dysfunction, insulin resistance, and pre-diabetes. The aim of this study was to evaluate the ability of a new non-invasive device EZSCAN evaluating sudomotor function to detect pre-diabetes in a German population at risk for diabetes. METHODS AND FINDINGS: 200 German subjects at risk for diabetes (mean age 56±14 years, BMI 28.4±5.4 kg/m2) were measured for anthropometric data on inflammatory parameters, including high sensitivity C reactive protein (hs-CRP). The subjects also underwent an oral glucose tolerance test with measurements of plasma glucose, insulin, proinsulin, C-peptide and free fatty acids during 2 h following glucose challenge. Indexes for sensitivity to insulin were calculated: SI using minimal model, HOMA-IR and Matsuda index. Based on the measurement of electrochemical sweat conductance, subjects were classified as no risk, moderate risk or high risk. According to this risk model classification, a significant difference was observed between OGTT-1 h (p=0.004), AUC glucose (p=0.011), AUC C-peptide (p<0.001), HOMA-IR (p=0.009), Matsuda (p=0.002), SI (p<0.001) and hs-CRP (p=0.025) after adjustment for age. Among the 54 subjects with impaired fasting glucose or impaired glucose tolerance according to WHO classification, 37 had a moderate risk and 15 a high risk according to the EZSCAN risk model classification. Among the 12 subjects with newly diagnosed diabetes, 2 had a moderate risk and 10 a high risk according to the risk model classification. No adverse event was reported during or after the study. CONCLUSIONS: These results, in accordance with a previous study performed in India, show that EZSCAN could be developed as a screening tool for diabetes risk, and could help to improve diabetes screening strategies. Results obtained from an at-risk population would have to be confirmed in a larger population.

Prognostic role of early versus late onset of bone metastasis in patients with carcinoma of the ovary, peritoneum and fallopian tube.

BACKGROUND: Bone metastases are a rare manifestation in the management of ovarian cancer and thought to be associated with a poor prognosis as sign of distant spread. Only few data exist on this rare condition. The present study aimed to more information on this very distinct patient collective. PATIENTS AND METHODS: A retrospective chart review was carried out including all patients who had been treated from 1994 to 2009 for histologically confirmed ovarian, peritoneal and fallopian tube cancer. Overall, 1717 cases were detected and screened. Patients with bone metastasis were identified and analyzed regarding survival as well as various clinical variables. RESULTS: A total of 26 women who had been diagnosed with bone metastases ante mortem could be identified, resulting in an incidence of 1.50%. The majority of patients presented multiple bone lesions (80.8%) and bone spread was symptomatic in 62.5% of the cases. Mean overall survival from primary diagnosis of EOC was 50.5 months (range: 2.5-142.5 months). Median overall survival after diagnosis of bone metastases was 7.2 months. When divided into two subsets depending on timepoint diagnosis of bone metastases, there was a significant difference in overall survival. The mean overall survival from primary diagnosis of EOC in the early-onset group (n = 8), defined as occurence of bone manifestation within 12 months, was 11.2 months. The mean overall survival in the late-onset group (n = 15) was 78.4 months (P = 0.000001). CONCLUSIONS: The time interval from diagnosis to appearance of bone metastases is a prognostic factor in ovarian cancer. While early onset bone spread has a strong negative prognostic impact, late-onset bone diagnosis of bone metastases hardly influences the prognosis at all. This finding should be considered in the management of patients with bone metastases from ovarian cancer.