Variation in the Prescription of Androgen Deprivation Therapy in Intermediate- and High-risk Prostate Cancer Patients Treated with Radiotherapy in the Netherlands, and Adherence to European Association of Urology Guidelines: A Population-based Study.

BACKGROUND: According to (inter-)national guidelines, (neo-)adjuvant and concurrent androgen deprivation therapy (ADT) in combination with external beam radiotherapy (EBRT) is optional for intermediate-risk prostate cancer (PCa) patients and is the recommended standard treatment for high-risk PCa patients. OBJECTIVE: The aim of this study is to provide insight into the prescription of ADT in intermediate- and high-risk PCa patients treated with EBRT in the Netherlands, and to evaluate adherence to European Association of Urology guidelines and factors affecting prescription. DESIGN, SETTING, AND PARTICIPANTS: All intermediate- and high-risk PCa patients between October 2015 and April 2016 were identified through the population-based Netherlands Cancer Registry. Variation in the prescription of ADT in patients with EBRT was evaluated. Multivariable multilevel logistic regression analyses were performed to determine the probability of ADT and to examine the role of patient-, tumour-, and hospital-related factors. RESULTS AND LIMITATIONS: Overall, 29% of patients with intermediate-risk PCa received ADT varying from 3% to 73% between institutions. From the multivariable regression analysis, higher Gleason grade, magnetic resonance imaging, and computed tomography (CT)-positron-emission tomography/CT prior to radiotherapy appeared to be associated with increased prescription of ADT. Among high-risk patients, 83% received ADT, varying from 57% to 100% between departments. A higher prostate-specific antigen level, more advanced tumour stage, and a higher Gleason grade were associated with increased prescription. CONCLUSIONS: Less than one-third of intermediate-risk PCa patients treated with EBRT receive ADT. The variation in the prescription of ADT between different institutions is substantial. This suggests that the prescription is largely dependent on different institutional policies. The guideline adherence in high-risk PCa is fairly good, as the vast majority of patients received ADT as recommended. However, given the clear recommendations in the guidelines, adherence could be improved. PATIENT SUMMARY: In this review, we looked at the variation of hormonal treatment in intermediate- and high-risk prostate cancer patients. We found substantial variation between institutions.

WITHDRAWN: Interventions for treating obesity in children.

BACKGROUND: Child and adolescent obesity is increasingly prevalent, and can be associated with significant short- and long-term health consequences. OBJECTIVES: To assess the efficacy of lifestyle, drug and surgical interventions for treating obesity in childhood. SEARCH METHODS: We searched CENTRAL on The Cochrane Library Issue 2 2008, MEDLINE, EMBASE, CINAHL, PsycINFO, ISI Web of Science, DARE and NHS EED. Searches were undertaken from 1985 to May 2008. References were checked. No language restrictions were applied. SELECTION CRITERIA: We selected randomised controlled trials (RCTs) of lifestyle (i.e. dietary, physical activity and/or behavioural therapy), drug and surgical interventions for treating obesity in children (mean age under 18 years) with or without the support of family members, with a minimum of six months follow up (three months for actual drug therapy). Interventions that specifically dealt with the treatment of eating disorders or type 2 diabetes, or included participants with a secondary or syndromic cause of obesity were excluded. DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trial quality and extracted data following the Cochrane Handbook. Where necessary authors were contacted for additional information. MAIN RESULTS: We included 64 RCTs (5230 participants). Lifestyle interventions focused on physical activity and sedentary behaviour in 12 studies, diet in 6 studies, and 36 concentrated on behaviorally orientated treatment programs. Three types of drug interventions (metformin, orlistat and sibutramine) were found in 10 studies. No surgical intervention was eligible for inclusion. The studies included varied greatly in intervention design, outcome measurements and methodological quality.Meta-analyses indicated a reduction in overweight at 6 and 12 months follow up in: i) lifestyle interventions involving children; and ii) lifestyle interventions in adolescents with or without the addition of orlistat or sibutramine. A range of adverse effects was noted in drug RCTs. AUTHORS' CONCLUSIONS: While there is limited quality data to recommend one treatment program to be favoured over another, this review shows that combined behavioural lifestyle interventions compared to standard care or self-help can produce a significant and clinically meaningful reduction in overweight in children and adolescents. In obese adolescents, consideration should be given to the use of either orlistat or sibutramine, as an adjunct to lifestyle interventions, although this approach needs to be carefully weighed up against the potential for adverse effects. Furthermore, high quality research that considers psychosocial determinants for behaviour change, strategies to improve clinician-family interaction, and cost-effective programs for primary and community care is required.

Immediate treatment vs. active-surveillance in very-low-risk prostate cancer: the role of patient-, tumour-, and hospital-related factors.

BACKGROUND: To provide insight in the treatment variation of very-low-risk prostate cancer patients and to assess the role of hospital-related factors. METHODS: All patients diagnosed with very-low-risk prostate cancer (cT1c-cT2a, PSA < 10 ng/ml, Gleason score <7 and <3 positive cores) in 2015 and 2016 were identified through the population-based Netherlands Cancer Registry. Multilevel logistic regression analyses were performed to examine the crude and case-mix adjusted probability of immediate treatment vs. active-surveillance (AS) according to hospital of diagnosis and to evaluate the effect of patient-, tumour-, and hospital-related factors. RESULTS: In all, 2047 (85.4%) of the 2396 patients with very-low-risk prostate cancer were managed with AS. The crude proportion of patients with AS varied from 33.3 to 100% between hospitals. Case-mix adjusted probability varied from 71 to 97%. Tumour stage cT2a vs. cT1c (OR 2.0, 95%CI 1.1-3.6), two vs. one positive core (OR 2.8, 95%CI 1.6-4.7), diagnostic MRI (OR 2.8, 95%CI 1.5-5.2), discussion of a patient in a multi-disciplinary team (OR 2.2, 95%CI 1.1-4.5), discussion of treatment options with the patient (OR 3.3, 95%CI 1.5-7.4) and type of hospital (non-university referral hospital vs. community hospital: OR 0.5, 95%CI 0.2-0.9) were associated with immediate treatment. CONCLUSION: The majority of Dutch very-low-risk prostate cancer patients is managed with AS but variation between hospitals exists. Part of the variation is explained by patient- and tumour characteristics but also hospital-related factors play a role. This implies that clinical practice could be improved.

External Validation of Models Predicting the Probability of Lymph Node Involvement in Prostate Cancer Patients.

BACKGROUND: Multiple statistical models predicting lymph node involvement (LNI) in prostate cancer (PCa) exist to support clinical decision-making regarding extended pelvic lymph node dissection (ePLND). OBJECTIVE: To validate models predicting LNI in Dutch PCa patients. DESIGN, SETTING, AND PARTICIPANTS: Sixteen prediction models were validated using a patient cohort of 1001 men who underwent ePLND. Patient characteristics included serum prostate specific antigen (PSA), cT stage, primary and secondary Gleason scores, number of biopsy cores taken, and number of positive biopsy cores. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Model performance was assessed using the area under the receiver operating characteristic curve (AUC). Calibration plots were used to visualize over- or underestimation by the models. RESULTS AND LIMITATIONS: LNI was identified in 276 patients (28%). Patients with LNI had higher PSA, higher primary Gleason pattern, higher Gleason score, higher number of nodes harvested, higher number of positive biopsy cores, and higher cT stage compared to patients without LNI. Predictions generated by the 2012 Briganti nomogram (AUC 0.76) and the Memorial Sloan Kettering Cancer Center (MSKCC) web calculator (AUC 0.75) were the most accurate. Calibration had a decisive role in selecting the most accurate models because of overlapping confidence intervals for the AUCs. Underestimation of LNI probability in patients had a predicted probability of <20%. The omission of model updating was a limitation of the study. CONCLUSIONS: Models predicting LNI in PCa patients were externally validated in a Dutch patient cohort. The 2012 Briganti and MSKCC nomograms were identified as the most accurate prediction models available. PATIENT SUMMARY: In this report we looked at how well models were able to predict the risk of prostate cancer spreading to the pelvic lymph nodes. We found that two models performed similarly in predicting the most accurate probabilities.

Insulin monotherapy compared with the addition of oral glucose-lowering agents to insulin for people with type 2 diabetes already on insulin therapy and inadequate glycaemic control.

BACKGROUND: It is unclear whether people with type 2 diabetes mellitus on insulin monotherapy who do not achieve adequate glycaemic control should continue insulin as monotherapy or can benefit from adding oral glucose-lowering agents to the insulin therapy. OBJECTIVES: To assess the effects of insulin monotherapy compared with the addition of oral glucose-lowering agents to insulin monotherapy for people with type 2 diabetes already on insulin therapy and inadequate glycaemic control. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, ClinicalTrials.gov, the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) and reference lists of articles. The date of the last search was November 2015 for all databases. SELECTION CRITERIA: Randomised controlled clinical trials of at least two months' duration comparing insulin monotherapy with combinations of insulin with one or more oral glucose-lowering agent in people with type 2 diabetes. DATA COLLECTION AND ANALYSIS: Two review authors independently selected trials, assessed risk of bias, extracted data and evaluated overall quality of the evidence using GRADE. We summarised data statistically if they were available, sufficiently similar and of sufficient quality. We performed statistical analyses according to the statistical guidelines in the Cochrane Handbook for Systematic Reviews of Interventions. MAIN RESULTS: We included 37 trials with 40 treatment comparisons involving 3227 participants. The duration of the interventions ranged from 2 to 12 months for parallel trials and two to four months for cross-over trials.The majority of trials had an unclear risk of bias in several risk of bias domains. Fourteen trials showed a high risk of bias, mainly for performance and detection bias. Insulin monotherapy, including once-daily long-acting, once-daily intermediate-acting, twice-daily premixed insulin, and basal-bolus regimens (multiple injections), was compared to insulin in combination with sulphonylureas (17 comparisons: glibenclamide = 11, glipizide = 2, tolazamide = 2, gliclazide = 1, glimepiride = 1), metformin (11 comparisons), pioglitazone (four comparisons), alpha-glucosidase inhibitors (four comparisons: acarbose = 3, miglitol = 1), dipeptidyl peptidase-4 inhibitors (DPP-4 inhibitors) (three comparisons: vildagliptin = 1, sitagliptin = 1, saxagliptin = 1) and the combination of metformin and glimepiride (one comparison). No trials assessed all-cause mortality, diabetes-related morbidity or health-related quality of life. Only one trial assessed patients' treatment satisfaction and showed no substantial differences between the addition of either glimepiride or metformin and glimepiride to insulin compared with insulin monotherapy.Insulin-sulphonylurea combination therapy (CT) compared with insulin monotherapy (IM) showed a MD in glycosylated haemoglobin A1c (HbA1c) of -1% (95% confidence interval (CI) -1.6 to -0.5); P < 0.01; 316 participants; 9 trials; low-quality evidence. Insulin-metformin CT compared with IM showed a MD in HbA1c of -0.9% (95% CI -1.2 to -0.5); P < 0.01; 698 participants; 9 trials; low-quality evidence. We could not pool the results of adding pioglitazone to insulin. Insulin combined with alpha-glucosidase inhibitors compared with IM showed a MD in HbA1c of -0.4% (95% CI -0.5 to -0.2); P < 0.01; 448 participants; 3 trials; low-quality evidence). Insulin combined with DPP-4 inhibitors compared with IM showed a MD in HbA1c of -0.4% (95% CI -0.5 to -0.4); P < 0.01; 265 participants; 2 trials; low quality evidence. In most trials the participants with CT needed less insulin, whereas insulin requirements increased or remained stable in participants with IM.We did not perform a meta-analysis for hypoglycaemic events because the included studies used different definitions.. In most trials the insulin-sulphonylurea combination resulted in a higher number of mild episodes of hypoglycaemia, compared to the IM group (range: 2.2 to 6.1 episodes per participant in CT versus 2.0 to 2.6 episodes per participant in IM; low-quality evidence). Pioglitazone CT also resulted in more mild to moderate hypoglycaemic episodes compared with IM (range 15 to 90 episodes versus 9 to 75 episodes, respectively; low-quality evidence. The trials that reported hypoglycaemic episodes in the other combinations found comparable numbers of mild to moderate hypoglycaemic events (low-quality evidence).The addition of sulphonylureas resulted in an additional weight gain of 0.4 kg to 1.9 kg versus -0.8 kg to 2.1 kg in the IM group (220 participants; 7 trials; low-quality evidence). Pioglitazone CT caused more weight gain compared to IM: MD 3.8 kg (95% CI 3.0 to 4.6); P < 0.01; 288 participants; 2 trials; low-quality evidence. Metformin CT was associated with weight loss: MD -2.1 kg (95% CI -3.2 to -1.1), P < 0.01; 615 participants; 7 trials; low-quality evidence). DPP-4 inhibitors CT showed weight gain of -0.7 to 1.3 kg versus 0.6 to 1.1 kg in the IM group (362 participants; 2 trials; low-quality evidence). Alpha-glucosidase CT compared to IM showed a MD of -0.5 kg (95% CI -1.2 to 0.3); P = 0.26; 241 participants; 2 trials; low-quality evidence.Users of metformin CT (range 7% to 67% versus 5% to 16%), and alpha-glucosidase inhibitors CT (14% to 75% versus 4% to 35%) experienced more gastro-intestinal adverse effects compared to participants on IM. Two trials reported a higher frequency of oedema with the use of pioglitazone CT (range: 16% to 18% versus 4% to 7% IM). AUTHORS' CONCLUSIONS: The addition of all oral glucose-lowering agents in people with type 2 diabetes and inadequate glycaemic control who are on insulin therapy has positive effects on glycaemic control and insulin requirements. The addition of sulphonylureas results in more hypoglycaemic events. Additional weight gain can only be avoided by adding metformin to insulin. Other well-known adverse effects of oral glucose-lowering agents have to be taken into account when prescribing oral glucose-lowering agents in addition to insulin therapy.

Differences in clinical characteristics between patients with and without type 2 diabetes hospitalized with a first myocardial infarction.

AIMS: To explore differences in clinical characteristics of patients with and without type 2 diabetes (T2DM) hospitalized with a first myocardial infarction (MI). METHODS: In this cross-sectional study we examined differences between patients with and without T2DM hospitalized with a first MI (n=563). Multiple linear regression modeling was used to examine the association between T2DM and age of occurrence of MI. We adjusted for gender, systolic blood pressure (BP), lipids and creatinine level to examine whether these variables explained the association between T2DM and age of occurrence of MI. RESULTS: Among 563 patients with a first MI, T2DM patients (n=77) were older than non-diabetic patients (67.8±10.9 vs. 64.4±13.4years, p<0.05), had lower LDL (2.5±0.8 vs. 3.4±1.1mmol/l, p<0.001) and total cholesterol levels (4.4±0.9 vs. 5.4±1.2mmol/l, p<0.001), but higher systolic BP (150.3±29.9 vs. 141.7±27.5mmHg, p<0.05). The association between T2DM and age of occurrence of MI was largely explained by cholesterol levels. CONCLUSIONS: T2DM patients were older when hospitalized with a first MI. This difference was largely explained by differences in cholesterol levels. The lower cholesterol levels in T2DM patients compared to non-diabetic patients, and maybe also the older age of occurrence of MI, might reflect the results successful primary prevention and systematic monitoring in T2DM.

Change in HbA1c levels between the age of 8 years and the age of 12 years in Dutch children without diabetes: the PIAMA birth cohort study.

OBJECTIVE: HbA1c is associated with cardiovascular risk in persons without diabetes and cardiovascular risk accumulates over the life course. Therefore, insight in factors determining HbA1c from childhood onwards is important. We investigated (lifestyle) determinants of HbA1c at age 12 years and the effects of growth on change in HbA1c and the tracking of HbA1c between the age of 8 and 12 years. STUDY DESIGN AND METHODS: Anthropometric measurements were taken and HbA1c levels were assessed in 955 children without diabetes aged around 12 years participating in the PIAMA birth cohort study. In 363 of these children HbA1c was also measured at age 8 years. Data on parents and children were collected prospectively by questionnaires. RESULTS: We found no significant association between known risk factors for diabetes and HbA1c at age 12 years. Mean(SD) change in HbA1c between ages 8 and 12 years was 0.6(0.7) mmol/mol per year (or 0.1(0.1) %/yr). Anthropometric measures at age 8 and their change between age 8 and 12 years were not associated with the change in HbA1c. 68.9% of the children remained in the same quintile or had an HbA1c one quintile higher or lower at age 8 years compared to age 12 years. CONCLUSION: The lack of association between known risk factors for diabetes and HbA1c suggest that HbA1c in children without diabetes is relatively unaffected by factors associated with glycaemia. HbA1c at age 8 years is by far the most important predictor of HbA1c at age 12. Therefore, the ranking of HbA1c levels appear to be fairly stable over time.

Repeat prescriptions of guideline-based secondary prevention medication in patients with type 2 diabetes and previous myocardial infarction in Dutch primary care.

BACKGROUND: Secondary prevention is efficient in reducing morbidity and mortality after a myocardial infarction (MI). However, both short-term and long-term mortality after MI remains relativity high in type 2 diabetes patients. OBJECTIVE: To evaluate repeat prescriptions of secondary prevention medication (anti-thrombotic agent, beta-blocker and statin) in type 2 diabetes patients with a previous MI. METHODS: Data of 1009 type 2 diabetes patients with a previous MI were extracted from the Julius General Practitioners' Network database. The proportion of patients with recent repeat prescriptions of guideline-based medication was determined. Furthermore, repeat prescriptions was determined 6 months, 1 year, 2 years and 5 years after MI. Generalized linear models were used to examine changes over time. Multivariate logistic regression analysis was used to analyse the association between patient characteristics and prescription. RESULTS: Only 46% of all type 2 diabetes patients with a previous MI had a recent repeat prescription for all three medicines. An increase in prescription over time was found for statins (P = 0.001). Older aged people [odds ratio (OR): 0.99, 95% confidence interval (CI): 0.98-1.00] were less likely to receive the combination of all three. CONCLUSION: A substantial proportion of type 2 diabetes patients with a previous MI did not receive guideline-based secondary prevention. Prescription rates were quite stable over time. This study confirms the need for a different approach to achieve an improvement of secondary prevention in type 2 diabetes patient with a previous MI. GPs can play an important role in this respect by being extra alert that prescription occurs according to the guidelines.

What follow-up care and self-management support do patients with type 2 diabetes want after their first acute coronary event? A qualitative study.

AIMS: Despite diabetes patients' efforts to control their disease, many of them are confronted with an acute coronary event. This may evoke depressive feelings and self-management may be complicated. According to the American Diabetes Association, the transition from hospital to home after an acute coronary event (ACE) is a high-risk time for diabetes patients; it should be improved. Before developing an intervention for diabetes patients with an ACE in the period after discharge from hospital, we want to gain a detailed understanding of patients' views, perceptions and feelings in this respect. METHODS: Qualitative design. Two semi-structured focus groups were conducted with 14 T2DM patients (71% male, aged 61-77 years) with a recent ACE. One focus group with partners (67% male, aged 64-75 years) was held. All interviews were transcribed verbatim and analyzed by two independent researchers. RESULTS: Patients believed that coping with an ACE differs between patients with and without T2DM. They had problems with physical exercise, sexuality and pharmacotherapy. Patients and partners were neither satisfied with the amount of information, especially on the combination of T2DM and ACE, nor with the support offered by healthcare professionals after discharge. Participants would appreciate tailored self-management support after discharge from hospital. CONCLUSIONS: Patients with T2DM and their partners lack tailored support after a first ACE. Our findings underpin the ADA recommendations to improve the transition from hospital to home. The results of our study will help to determine the exact content of a self-management support program delivered at home to help this specific group of patients to cope with both conditions.

Physical activity in patients with metabolic syndrome: at screening and three years thereafter.

BACKGROUND: Metabolic syndrome is a cluster of risk factors for cardiovascular disease and type 2 diabetes. Physical activity can decrease these risks. Many randomized clinical trials to increase physical activity have demonstrated disappointing results, and implementation in daily practice appeared to be difficult. The aim of this study was to investigate whether 3 years of usual care with available guidelines in a primary care setting result in change in physical activity in patients with screen-detected metabolic syndrome. METHODS: After a population-based screening, 473 patients were diagnosed with metabolic syndrome and received advice to increase physical activity. Three years later, they were invited for follow-up. Physical activity was measured by means of the validated SQUASH questionnaire. The primary outcome measure was: % of metabolic syndrome patients that fulfill the Dutch Physical Activity Guideline (DPAG) criterion (30 min of moderately intensive physical activity at least 5 days per week) at screening and follow-up. RESULTS: In the final study population (n=168), the proportion of patients fulfilling the DPAG criterion did not significantly increase between screening (56.0%) and follow-up (60.7%) (P=0.29). Female gender [odds ratio (OR)=3.59; 95% confidence interval (CI) 1.24-10.39] and body mass index (BMI) at baseline (OR=0.82; 95% CI 0.69-0.97) appeared to be independent predictors of increase in physical activity. CONCLUSIONS: In this real-world setting, despite the advice to increase physical activity, the number of metabolic syndrome patients with sufficient physical activity did not significantly increase after 3 years. This finding confirms the need for an intensified approach to achieve an increase in physical activity in this group, with special attention to men and patients with higher BMI values.

Comparison of frequency of periprocedural myocardial infarction in patients with and without diabetes mellitus to those with previously unknown but elevated glycated hemoglobin levels (from the TWENTE Trial).

In patients without a history of diabetes mellitus, increased levels of glycated hemoglobin (HbA1c) are associated with higher cardiovascular risk. The relation between undetected diabetes and clinical outcome after percutaneous coronary intervention is unknown. To investigate whether these patients may have an increased risk of periprocedural myocardial infarction (PMI), the most frequent adverse event after percutaneous coronary intervention, we assessed patients of the TWENTE trial (a randomized, controlled, second-generation drug-eluting stent trial) in whom HbA1c data were available. Patients were classified as known diabetics or patients without a history of diabetes who were subdivided into undetected diabetics (HbA1c ≥6.5%) and nondiabetics (HbA1c <6.5%). Systematic measurement of cardiac biomarkers and electrocardiographic assessment were performed. One-year clinical outcome was also compared. Of 626 patients, 44 (7%) were undetected diabetics, 181 (29%) were known diabetics, and 401 (64%) were nondiabetics. In undetected diabetics the PMI rate was higher than in nondiabetics (13.6% vs 3.7%, p = 0.01) and known diabetics (13.6% vs 6.1%, p = 0.11). Multivariate analysis adjusting for covariates confirmed a significantly higher PMI risk in undetected diabetics compared to nondiabetics (odds ratio 6.13, 95% confidence interval 2.07 to 18.13, p = 0.001) and known diabetics (odds ratio 3.73, 95% confidence interval 1.17 to 11.89, p = 0.03). After 1 year, target vessel MI rate was significantly higher in undetected diabetics (p = 0.02) than in nondiabetics, which was related mainly to differences in PMI. Target vessel failure was numerically larger in unknown diabetics than in nondiabetics, but this difference did not reach statistical significance (13.6% vs 8.0%, p = 0.25). In conclusion, undetected diabetics were shown to have an increased risk of PMI.

Incidence of periprocedural myocardial infarction following stent implantation: comparison between first- and second-generation drug-eluting stents.

BACKGROUND: First- and second-generation drug-eluting stents (DES) differ in coating materials, which may influence the incidence of periprocedural myocardial infarction (PMI). OBJECTIVE: To compare the incidence of PMI between first- and second-generation DES, using the current Academic Research Consortium (ARC) definition of PMI. METHODS: We assessed 800 patients treated with first- (Taxus Liberté or Endeavor) or second-generation DES (Xience V or Resolute). Each DES group consisted of 200 consecutive patients, who were treated during the transition from first- to second-generation DES. Routine peri-interventional assessment of cardiac biomarkers was performed to compare the incidence of PMI between DES groups according to the updated definition by the ARC: 2x upper reference limit of creatine kinase (CK), confirmed by CK-MB elevation. RESULTS: In 800 patients, a total of 1,522 DES (363 Taxus; 385 Endeavor; 382 Xience V; 392 Resolute) were implanted to treat 1,232 lesions. Patient characteristics did not differ between groups. In patients receiving second-generation DES, more multivessel percutaneous coronary interventions were performed (P = 0.01). The overall incidence of PMI was 4.75%. Between first- and second-generation DES, there was no significant difference in PMI (5.5% vs. 4.0%; P = 0.29). In a multivariate analysis, only the total number of stents implanted (P < 0.001) and presentation with acute coronary syndrome (P = 0.02) were independent predictors of PMI. CONCLUSION: Using the revised ARC definition, we found no significant difference in PMI between first- and second-generation DES. Overall, PMI occurred in 4.75%, which is 58% lower than with use of the historical PMI definition.

HbA1c in nondiabetic Dutch infants aged 8-12 months: the GECKO-Drenthe birth cohort study.

OBJECTIVE: An international committee of experts recommended using HbA(1c) for diagnostic testing for diabetes. Little is known about normal values of HbA(1c) in infants. The aim of this study is to describe the distribution of HbA(1c) in 8- to 12-month-old nondiabetic infants. RESEARCH DESIGN AND METHODS: HbA(1c) was measured in 86 infants participating in the Groningen Expert Center for Kids with Obesity (GECKO)-Drenthe birth cohort study. Anthropometric measurements were performed at Well Baby Clinics. Data on parents and children were collected prospectively using questionnaires. RESULTS: HbA(1c) was normally distributed with a mean (SD) HbA(1c) level of 5.38% (0.24), range 4.8-6.0% or 35.29 mmol/mol (2.65), range 29.1-42.1 mmol/mol. Age, sex, birth weight, duration of breastfeeding, anthropometric measurements, and maternal BMI were not associated with HbA(1c). CONCLUSIONS: We found a normal distribution of HbA(1c) with a relatively high mean HbA(1c) of 5.38%. No significant association between risk factors for type 2 diabetes and HbA(1c) levels was found.

Interventions for treating obesity in children.

BACKGROUND: Child and adolescent obesity is increasingly prevalent, and can be associated with significant short- and long-term health consequences. OBJECTIVES: To assess the efficacy of lifestyle, drug and surgical interventions for treating obesity in childhood. SEARCH STRATEGY: We searched CENTRAL on The Cochrane Library Issue 2 2008, MEDLINE, EMBASE, CINAHL, PsycINFO, ISI Web of Science, DARE and NHS EED. Searches were undertaken from 1985 to May 2008. References were checked. No language restrictions were applied. SELECTION CRITERIA: We selected randomised controlled trials (RCTs) of lifestyle (i.e. dietary, physical activity and/or behavioural therapy), drug and surgical interventions for treating obesity in children (mean age under 18 years) with or without the support of family members, with a minimum of six months follow up (three months for actual drug therapy). Interventions that specifically dealt with the treatment of eating disorders or type 2 diabetes, or included participants with a secondary or syndromic cause of obesity were excluded. DATA COLLECTION AND ANALYSIS: Two reviewers independently assessed trial quality and extracted data following the Cochrane Handbook. Where necessary authors were contacted for additional information. MAIN RESULTS: We included 64 RCTs (5230 participants). Lifestyle interventions focused on physical activity and sedentary behaviour in 12 studies, diet in 6 studies, and 36 concentrated on behaviorally orientated treatment programs. Three types of drug interventions (metformin, orlistat and sibutramine) were found in 10 studies. No surgical intervention was eligible for inclusion. The studies included varied greatly in intervention design, outcome measurements and methodological quality.Meta-analyses indicated a reduction in overweight at 6 and 12 months follow up in: i) lifestyle interventions involving children; and ii) lifestyle interventions in adolescents with or without the addition of orlistat or sibutramine. A range of adverse effects was noted in drug RCTs. AUTHORS' CONCLUSIONS: While there is limited quality data to recommend one treatment program to be favoured over another, this review shows that combined behavioural lifestyle interventions compared to standard care or self-help can produce a significant and clinically meaningful reduction in overweight in children and adolescents. In obese adolescents, consideration should be given to the use of either orlistat or sibutramine, as an adjunct to lifestyle interventions, although this approach needs to be carefully weighed up against the potential for adverse effects. Furthermore, high quality research that considers psychosocial determinants for behaviour change, strategies to improve clinician-family interaction, and cost-effective programs for primary and community care is required.