Circulating peroxiredoxin 4 and type 2 diabetes risk: the Prevention of Renal and Vascular Endstage Disease (PREVEND) study

Aims/hypothesis

Oxidative stress plays a key role in the development of type 2 diabetes mellitus. We previously showed that the circulating antioxidant peroxiredoxin 4 (Prx4) is associated with cardiometabolic risk factors. We aimed to evaluate the association of Prx4 with type 2 diabetes risk in the general population.

Methods

We analysed data on 7,972 individuals from the Prevention of Renal and Vascular End-stage Disease (PREVEND) study (49% men, aged 28–75 years) with no diabetes at baseline. Logistic regression models adjusted for age, sex, smoking, waist circumference, hypertension and family history of diabetes were used to estimate the ORs for type 2 diabetes.

Results

During a median follow up of 7.7 years, 496 individuals (288 men; 58%) developed type 2 diabetes. The median (Q1–Q3) Prx4 level was 0.84 (0.53–1.40) U/l in individuals who developed type 2 diabetes and 0.68 (0.43–1.08) U/l in individuals who did not develop type 2 diabetes. For every doubling of Prx4 levels, the adjusted OR (95% CI) for type 2 diabetes was 1.16 (1.05–1.29) in the whole population; by sex, it was 1.31 (1.14–1.50) for men and 1.03 (0.87–1.21) for women. Further adjustment for other clinical measures did not materially change the results. The addition of Prx4 to a validated diabetes risk score significantly improved the prediction of type 2 diabetes in men (p?=?0.002 for reclassification improvement).

Conclusions/interpretation

Our findings suggest that elevated serum Prx4 levels are associated with a higher risk of incident type 2 diabetes. For men, taking Prx4 into consideration can improve type 2 diabetes prediction over a validated diabetes risk score; in contrast, there is no improvement in risk prediction for women.     

Sex differences in the association between plasma copeptin and incident type 2 diabetes: the Prevention of Renal and Vascular Endstage Disease (PREVEND) study

Aims/hypothesis

Vasopressin plays a role in osmoregulation, glucose homeostasis and inflammation. Therefore, plasma copeptin, the stable C-terminal portion of the precursor of vasopressin, has strong potential as a biomarker for the cardiometabolic syndrome and diabetes. Previous results were contradictory, which may be explained by differences between men and women in responsiveness of the vasopressin system. The aim of this study was to evaluate the usefulness of copeptin for prediction of future type 2 diabetes in men and women separately.

Methods

From the Prevention of Renal and Vascular Endstage Disease (PREVEND) study, 4,063 women and 3,909 men without diabetes at baseline were included. A total of 208 women and 288 men developed diabetes during a median follow-up of 7.7?years.

Results

In multivariable-adjusted models, we observed a stronger association of copeptin with risk of future diabetes in women (OR 1.49 [95% CI 1.24, 1.79]) than in men (OR 1.01 [95% CI 0.85, 1.19]) (p _interaction?p?=?0.02) and reclassification (integrated discrimination improvement [IDI] = 0.004, p?Conclusions/interpretation The association of plasma copeptin with the risk of developing diabetes was stronger in women than in men. Plasma copeptin alone, and along with existing biomarkers (glucose, hs-CRP and UAE), significantly improved the risk prediction for diabetes in women.     

Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease

BackgroundAlthough physical activity is beneficial for Parkinson's disease (PD) patients, many do not meet the recommended levels. The range of physical activity among sedentary PD patients is unknown, as are factors that determine this variability. Hence, we aimed to (1) assess daily physical activity in self-identified sedentary PD patients; (2) compare this with criteria of a daily physical activity guideline; and (3) identify determinants of daily physical activity.MethodsDaily physical activity of 586 self-identified sedentary PD patients was measured with a tri-axial accelerometer for seven consecutive days. Physical fitness and demographic, disease-specific, and psychological characteristics were assessed. Daily physical activity was compared with the 30-min activity guideline. A linear mixed-effects model was estimated to identify determinants of daily physical activity.ResultsAccelerometer data of 467 patients who fulfilled all criteria revealed that >98% of their day was spent on sedentary to light-intensity activities. Eighty-two percent of the participants were ‘physically inactive’ (0 days/week of 30-min activity); 17% were ‘semi-active’ (1–4 days/week of 30-min activity). Age, gender, physical fitness, and scores on the Unified Parkinson's Disease Rating Scale explained 69% of the variability in daily physical activity.ConclusionsPerformance-based measurements confirmed that most self-identified sedentary PD patients are ‘physically inactive’. However, the variance in daily physical activity across subjects was considerable. Higher age, being female, and lower physical capacity were the most important determinants of reduced daily physical activity. Future therapeutic interventions should aim to improve daily physical activity in these high-risk patients, focusing specifically on modifiable risk factors.     

Valuation of EuroQol Five-Dimensional Questionnaire,Youth Version (EQ-5D-Y) and EuroQol Five-Dimensional Questionnaire,Three-Level Version (EQ-5D-3L) Health States: The Impact of Wording and Perspective

Background

Valuations of health states were affected by the wording of the two instruments (EQ-5D-3L and EQ-5D-Y) and by the perspective taken (child or adult).

Evaluation of Split Version and Feedback Module on the Improvement of Time Trade-Off Data

Background

EQ-5D-5L valuation studies previously reported many inconsistent responses in time trade-off (TTO) data. A number of possible elements, including ordering effects of the valuation tasks, mistakes at the sorting question, and interviewers’ (learning) effects, may contribute to their inconsistency.

The Limited Role of Ultrasound in the Diagnostic Process of Colonic Diverticulitis

Background

Diverticulitis is commonly diagnosed using ultrasound (US), followed by computed tomography (CT). Our aim was to determine the diagnostic accuracy of US compared with CT for patients with uncomplicated and complicated diverticulitis.

Methods

We reviewed medical records of 232 patients admitted with diverticulitis via the emergency department between January 2009 and January 2011. Patients who had undergone US and a CT scan were identified and further analyzed.

Results

A total of 123 patients underwent an US and a CT scan. In 78/94 patients with uncomplicated diverticulitis, results of US and CT scan were compatible (83 %); in 6 of the remaining 29 patients both modalities showed a complicated diverticulitis (21 %). US misdiagnosed 17 % of patients with uncomplicated diverticulitis and 79 % with complicated diverticulitis.

Conclusions

US is insufficient for diagnosing a complicated diverticulitis. Missing a complicated diverticulitis can have important clinical implications, and if diverticulitis is suspected, we suggest obtaining a CT scan to confirm diagnosis and to exclude complications.     

Severe hepatic side effects of ezetimibe.

BACKGROUND AND AIMS: Ezetimibe was introduced recently as a new class of cholesterol-lowering drugs. Until now only limited increases of transaminase levels were reported. METHODS: We studied 2 patients with severe hepatic side effects of ezetimibe in a general community hospital. RESULTS: Ezetimibe may lead to 2 distinct types of severe hepatic side effects. CONCLUSIONS: Ezetimibe may rarely cause hepatotoxicity, severe cholestatic hepatitis, or acute autoimmune hepatitis.     

Predicting productivity based on EQ-5D: an explorative study

Background

Productivity costs are often ignored in economic evaluations. In order to facilitate productivity cost inclusion, it has been suggested to estimate productivity costs indirectly using quality of life data.

Objective

This study aimed to derive and validate an algorithm for predicting productivity losses on the basis of quality-of-life data using the EQ-5D-3L.

Methods

A large representative sample of the Dutch general public (n = 1,100) was asked in a web-based questionnaire to state their expected level of productivity in terms of absenteeism and presenteeism for multiple EQ-5D health states. Based on these data, two generalized estimating equations (GEE) models were constructed: (1) a model predicting levels of absenteeism and (2) a model predicting presenteeism. The models were validated by comparing model predictions with conventionally measured productivity within a group of low back pain patients.

Results

Predicted absenteeism levels based on EQ-5D health state closely resembled conventionally measured absenteeism levels. Productivity losses related to presenteeism seemed somewhat overestimated by our prediction model. Measured and predicted productivity were moderately but highly significantly correlated.

Conclusions

Overall, it appears possible to make reasonable productivity predictions based on EQ-5D data. Further exploration and validation of prediction algorithms remains necessary, however, especially for presenteeism.