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Aim: Strict glycaemic control has been associated with an increased mortality rate in subjects with type 2 diabetes (T2DM). Here we examined platelet function immediately and 24hours following induced hypoglycaemia in people with type 2 diabetes compared to healthy age-matched controls., Methods: Hyperinsulinaemic clamps reduced blood glucose to 2.8mmol/L (50mg/dl) for 1hour. Sampling at baseline; euglycaemia 5mmol/L (90mg/dl); hypoglycaemia; and at 24 post clamp were undertaken. Platelet function was measured by whole blood flow cytometry., Results: 10 subjects with T2DM and 8 controls were recruited. Platelets from people with T2DM showed reduced sensitivity to prostacyclin (PGI2, 1nM) following hypoglycaemia. The ability of PGI2 to inhibit platelet activation was significantly impaired at 24hours compared to baseline in the T2DM group. Here, inhibition of fibrinogen binding was 29.5% (10.3-43.8) compared to 50.8% (36.8-61.1), (P<0.05), while inhibition of P-selectin expression was 32% (16.1-47.6) vs. 54.4% (42.5-67.5) (P<0.05). No significant changes in platelet function were noted in controls., Conclusion: Induced hypoglycaemia in T2DM enhances platelet hyperactivity through impaired sensitivity to prostacyclin at 24hours., (Copyright © 2018 Elsevier Masson SAS. All rights reserved.)

Background: Hormone replacement therapy may be beneficial for cardiovascular disease risk (CVR) in post-menopausal women. Soy isoflavones may act as selective estrogen receptor modulators. The aim of this study was to evaluate whether soy isoflavones had an effect on CVR markers., Methods: The expected 10-year risk of cardiovascular disease and mortality were calculated as a secondary endpoint from a double blind randomised parallel study involving 200 women (mean age 55 years, Caucasian, Hull, UK, 2012) in the early menopause who were randomised to 15 g soy protein with 66 mg isoflavone (SPI) or 15 g soy protein alone (depleted of all isoflavones; SP) given as a snack bar between meals daily for 6 months. Age, diabetes, smoking, blood pressure and lipid profiles were used to calculate CVR using the Framingham CVR engine., Results: SPI treatment resulted in a significant reduction in the metabolic parameters and systolic blood pressure compared to SP (p < 0.01). There were no changes in fasting lipid profile and diastolic blood pressure with either treatment. At 6 months, changes in these parameters with SPI treatment were reflected in a calculated 27% (p < 0.01) reduction in 10 year coronary heart disease risk, a 37% (p < 0.01) reduction in myocardial infarction risk, a 24% (p < 0.04) reduction in cardiovascular disease and 42% (p < 0.02) reduction in cardiovascular disease death risk., Conclusions: Supplementation with soy protein with isoflavones for 6 months significantly improved CVR markers and calculated CVR at 6 months during early menopause compared to soy protein without isoflavones., Isrctn Registry: ISRCTN34051237., (Copyright © 2018 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Type 2 diabetes (T2DM) is associated with increased risk of fractures. Soy supplementation has been shown to have a beneficial effect on bone turnover markers (BTM) in postmenopausal women. However, the effect of soy supplementation on BTM in T2DM and particularly in men is unclear. We performed an analysis of a randomized double blind parallel study of 200 men with T2DM treated with soy, either with or without isoflavones. Outcome measures were type I collagen crosslinked beta C-telopeptide (βCTX), and type 1 procollagen-N-propeptide (P1NP). The men, with a total testosterone <12 nmol/L, were treated with 15 g soy protein containing 66 mg of isoflavones (SPI) or 15 g soy protein alone without isoflavones (SP) daily for three months. There was a 15% reduction in βCTX after three months of SPI compared to SP supplementation. There was no significant difference in P1NP with either SPI or SP supplementation. There was a significant linear correlation between the reduction in βCTX in the SPI group with the reduction in HbA1c (r 2  = 0.42; p = 0.04) and HOMA-IR (r 2  = 0.54; p = 0.02). Our study indicates that there was a significant reduction in bone resorption following 3 months of SPI supplementation that correlated with an improvement of glycemic control in men with T2DM.

Background: A new formula was recently proposed by Cordovo et al. that was more highly correlated with low-density lipoprotein (LDL) measured directly than the Friedewald LDL formula. We conducted this prospective study to establish whether the new formula allows true variations in LDL within the same individual to be tracked more closely than that of the Friedewald formula., Methods: A cross-over study of biological variation of lipids in 26 patients with Type 2 diabetes (T2DM) taking either a short half-life statin, simvastatin 40 mg (n=10), or a long half-life statin, atorvastatin 10 mg. After three months on one statin, fasting lipids were measured on 10 occasions over a five-week period. The same procedure was then followed for the other statin. The LDL was measured by a direct LDL immunoassay and was compared to the LDL estimated by the Friedewald and Cordova (0.7516) × (total cholesterol [TC]-high-density lipoprotein cholesterol [HDL-C]) formulae., Results: As a group, the calculated or measured mean LDL was no different between statins. However, the biological coefficient of variation (CV) of directly measured LDL was far larger with simvastatin than atorvastatin. This difference was detected by Cordova LDL but not found with the Friedewald LDL formula., Conclusions: In contrast to Friedewald LDL, Cordova LDL estimation revealed LDL to be much more stable in T2DM patients taking atorvastatin rather than simvastatin that was in accord with LDL when measured directly. Therefore, Cordova LDL which is a measure of non-HDL-cholesterol is the simplest, cheapest and the most convenient measurement for assessment of response to statin treatment., (© The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.)

Introduction: Nonalcoholic fatty liver disease (NAFLD) has been linked to polycystic ovary syndrome (PCOS) and carries an increased risk of liver cirrhosis. Procollagen type 3 amino-terminal peptide (PIIINP) is an independent predictor of liver cirrhosis., Objective: To assess whether 6-month treatment with GLP-1 analogue, liraglutide, improves markers of liver fibrosis., Design: A case-control study comparing women with PCOS to age- and weight-matched controls. PCOS was diagnosed according to the Rotterdam criteria. All participants underwent liver function tests and liver ultrasound scan to assess for fatty infiltration. Serum marker for liver fibrosis, PIIINP, was measured at baseline and after 6-month treatment with liraglutide 1·8 mg od., Results: Nineteen women with PCOS and 17 controls were recruited, age 32·8 ± 7·2 vs 33·5 ± 6·7 years and weight 100·9 ± 16·7 vs 99·3 ± 14·7 kg, respectively. At baseline, the PCOS group had higher testosterone 1·2 ± 0·3 vs 0·9 ± 0·3 nm (P = 0·01), HOMA-IR 5·1 ± 2·6 vs 3·5 ± 1·3 (P = 0·03), AST 22·4 ± 5·2 vs 18·8 ± 3·4 u/l (P = 0·04), PIIINP 4·4 ± 0·8 vs 3·5 ± 0·8 ug/ml (P = 0·01) and NAFLD seven (35%) vs none (P = 0·005), respectively. Twenty-five (69%) participants completed the study (13 PCOS, 12 controls). Following treatment, weight was reduced by 3·0 ± 4·2 kg (P = 0·01) and 3·8 ± 3·4 kg (P = 0·001), respectively. Similarly, HOMA-IR, hsCRP, triglycerides and urinary isoprostane significantly reduced in both groups. PIIINP significantly reduced the in PCOS group 4·4 ± 0·8 vs 3·7 ± 0·9 ug/ml (P < 0·01), but not in controls 3·5 ± 0·8 vs 3·2 ± 0·7 ug/ml (P = 0·08)., Conclusions: Treatment with liraglutide, and/or associated weight loss, significantly reduced PIIINP levels in obese women with PCOS. This may be an additional beneficial factor when considering the use of liraglutide in women with PCOS, obesity and NAFLD., (© 2013 John Wiley & Sons Ltd.)

Aim: This study investigated the effect of long-term niacin/laropiprant therapy on CV risk and IR in obese women with PCOS., Methods: In this double-blind randomized placebo-controlled trial, 13 and 12 PCOS women completed a 12 week course of niacin/laropiprant or placebo, respectively. Fasted subjects had an endothelial function test (EndoPat2000) and then consumed a mixed meal with blood sampled postprandially for 6 h before and after intervention., Results: By 12 weeks, niacin/laropiprant lowered low-density lipoprotein cholesterol (LDL-c) (13%) and increased HDL-c (17%). Despite a reduction in fasting triglycerides (21%), the drug had no effect on their postprandial rise (2.69 ± 1.44 vs. 2.49 ± 1.14 mmol/l, p = 0.72). However, following the mixed meal, plasma glucose area under the response curve increased from 13.1 ± 2.9 to 14.0 ± 2.8 mmol/l, p = 0.05, as a consequence of both increased insulin resistance [HOMA-IR: 2.2 (1.2, 4.2) vs. 3.8(1.3, 5.5), p = 0.02] and a reduced acute insulin response to glucose [424 (211, 975) vs. 257(122, 418) pmol/mmol, p = 0.04]. Niacin/laropiprant did not improve RHI (1.97 ± 0.40 vs. 2.05 ± 0.58, p = 0.33) or hsCRP., Conclusions: In PCOS, niacin/laropiprant had a significant negative impact on postprandial glucose and no improvement in postprandial hypertriglyceridaemia, with at least the former mediated through increased IR and reduced β-cell function. This data may help explain why the improvement in fasting lipids has not translated into improved CV risk markers in PCOS., (© 2014 John Wiley & Sons Ltd.)

Biological variation refers to the natural fluctuations found when repeated measurements are made in a biological system. Generally, biological variation remains within narrow boundaries in health, but may differ in pathological states, with implications for the diagnosis and monitoring of disease processes. In disease, biological variation may alter such that any subsequent measurement may need to have a greater difference compared with a healthy control to be biologically relevant. Treatments such as insulin or anti-hypertensive therapy have been shown to reduce biological variability closer to normal levels and theoretically this may help prevent complication development or progression in conditions such as diabetes. This article reviews how biological variation can influence our identification and assessment of vascular risk factors in a person with diabetes. The role of biological variation in the diagnosis of diabetes (glucose and HbA1c) is then examined. Finally, the influence that common treatments in diabetes have in modifying biological variation is described., (© 2013 The Authors. Diabetic Medicine © 2013 Diabetes UK.)

Aims: HbA(1c) values are unreliable in patients with diabetes who have chronic kidney disease who receive iron and/or erythropoiesis stimulating agents. The study aimed to evaluate the utility of the complementary glycaemic markers glycated albumin, fructosamine and 1,5 anhydroglucitol in this group of patients., Methods: A prospective study of patients with Type 2 diabetes and chronic kidney disease stage IIIB/IV undergoing intravenous iron or erythropoiesis-stimulating agent therapy. Glycaemic control was monitored using HbA(1c), seven-point daily glucose thrice weekly, continuous glucose monitoring, glycated albumin, fructosamine and 1,5 anhydroglucitol., Results: Fifteen patients [9 men; median age 72 years (interquartile range 68-74), follow-up period (16.4 ± 3.7 weeks)] received parenteral iron; 15 patients [11 men; 70 years (interquartile range 62-75), (17.3 ± 3.3 weeks)] received erythropoiesis-stimulating agent. HbA(1c) fell following treatment with both iron [57 mmol/mol (7.4%) to 53 mmol/mol (7.0%), P < 0.001] and erythropoiesis-stimulating agent [56 mmol/mol (7.3%) to 49 mmol/mol (6.6%), P = 0.01] despite mean blood glucose remaining unchanged (iron: 9.55 to 9.71 mmol/l, P = 0.07; erythropoiesis-stimulating agent: 8.72 to 8.78 mmol/l, P = 0.89). Unlike HbA1c , the glycated albumin, fructosamine and 1,5 anhydroglucitol levels did not change following iron [glycated albumin (16.8 to 16.3%, P = 0.10); fructosamine (259.5 to 256 μmol/l, P = 0.89); 1,5 anhydroglucitol (54.2 to 50.9 μmol/l, P = 0.89)] or erythropoiesis-stimulating agent [glycated albumin (17.9 to 17.5%, P = 0.29), fructosamine (324.3 to 306.0 μmol/l, P = 0.52), 1,5 anhydroglucitol (58.2 to 46.7 μmol/l, P = 0.35)]. Despite this, HbA(1c) was consistently the marker most closely related to mean blood glucose before and after each treatment (R range 0.7-0.88)., Conclusions: These data indicate that HbA(1c) was statistically most closely related to mean blood glucose, but clinical trends in glycaemia in patients undergoing iron or erythropoiesis-stimulating agent therapy are likely best assessed by including one of these additional glycaemic markers., (© 2013 The Authors. Diabetic Medicine © 2013 Diabetes UK.)

Introduction: Previous studies investigating cardiovascular (CV) risk in obese women with polycystic ovary syndrome (PCOS) have been potentially confounded by not adequately accounting for body weight., Objective: To assess if PCOS increases CV risk independently in young obese women by examining carotid intima-media wall thickness (cIMT) and platelet function., Design: A case-control study comparing women with PCOS (n = 21) to age (32·8 ± 7·2 vs 33·5 ± 6·7 years), and weight (100·9 ± 16·7 vs 99·3 ± 14·7 kg)-matched controls (n = 19). Platelet function was examined by flow cytometry, clot structure and fibrinolysis by turbidimetric assays and endothelial function by ELISA and post ischaemic reactive hyperaemia., Results: The PCOS group had higher testosterone 1·2 ± 0·3 vs 0·9 ± 0·3 nmol/l (P = 0·01), HOMA-IR 2·5 ± 1·7 vs 1·7 ± 1·0 (P = 0·08), impaired glucose regulation 33·3% vs 5·3% (P = 0·02), and urinary isoprostane 16·0 ± 4·4 vs 11·8 ± 7·1 ng/ml (P = 0·04) compared to controls. Mean cIMT 0·5 ± 0·05 vs 0·48 ± 0·06 mm (P = 0·36), and basal platelet surface expression (percentage of positive cells) of P-selectin 0·52 ± 0·3 vs 0·43 ± 0·23 (P = 0·40) and fibrinogen binding 0·97 ± 0·4 vs 0·83 ± 0·3 (P = 0·48) did not significantly differ between the PCOS and control groups respectively. Furthermore, platelets sensitivity to stimulation with adenosine-5'-diphosphate or inhibition with prostacyclin, clot structure and fibrinolytic efficiency ex vivo, endothelial reactive hyperaemic index (RHI), inflammation (hsCRP) and adhesion markers (sE-selectin, sP-selectin, sVCAM-1 and sICAM-1) were not significantly different between the two groups., Conclusions: PCOS appeared not to independently increase atherothrombotic risk when matched for obesity. It is likely that any excess CV risk in young obese women with PCOS can either be attributed to obesity or is not yet apparent at this early stage of the condition., (© 2012 John Wiley & Sons Ltd.)

The pleiotropic effect of statins may be mediated in part through raising 25 hydroxy vitamin D (25OHD) concentrations. It has also been shown that an increase in oxidative stress and inflammatory markers are a feature of the patients with type 2 diabetes (T2DM). A cross-over study of 26 patients with T2DM taking either simvastatin 40 mg or atorvastatin 10 mg was undertaken. After 3 months on one statin, lipids, C-reactive protein (hsCRP), 25OHD and malondialdehyde (MDA) were measured repeatedly. The same procedure was then followed taking the other statin. Despite similar lipid-lowering, the mean 25OHD was higher on atorvastatin compared with simvastatin and the mean MDA and hsCRP levels lower, irrespective of which statin the patients were taking before crossover. The changes in 25OHD predicted changes in CRP and MDA levels. Thus, compared with simvastatin, atorvastatin shows apparently beneficial pleiotropic effects with respect to 25OHD concentrations as well as markers of oxidative stress and inflammation in patients with T2DM., (© 2013 Blackwell Publishing Ltd.)

Aims: Recurrent severe hypoglycaemia in a patient with diabetes is strongly associated with a crash risk while driving. To help ensure road safety, recent changes were made to European Union driving regulations for patients with diabetes. These included the recommendation that more than one episode of severe hypoglycaemia within 12 months would lead to the loss of a driving licence. This study has assessed the impact of this regulation if applied to patients who participated in the Diabetes Control and Complications Trial., Methods: All patients in the Diabetes Control and Complications Trial were assumed to be drivers. Repeated hypoglycaemic episodes within a year were determined during the mean 6.5 years of the study., Results: Of the 1441 patients in the Diabetes Control and Complications Trial, 439 (30%) had more than one severe hypoglycaemic episode during a 12-month period of their study participation. Amongst the study groups, 312/711 (44%) of intensively treated and 127/730 (17%) of conventionally treated patients would have lost their licence at some point during the trial. The risk of licence loss increased with lower mean HbA1c , longer duration of diabetes and younger age (all P < 0.001)., Conclusions: More than one episode of severe hypoglycaemia within a year was a frequent event in subjects in the Diabetes Control and Complications Trial, especially in intensively treated patients. If applied to current practice, improving road safety through these changes to European Union regulations could have a substantial impact on drivers who have Type 1 diabetes. This emphasizes the need to take into account the potential effects of severe hypoglycaemia in those who rely on a driving licence., (© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.)

Aims: To investigate the effects of high-polyphenol chocolate upon endothelial function and oxidative stress in Type 2 diabetes mellitus during acute transient hyperglycaemia induced following a 75-g oral glucose challenge., Methods: Ten subjects with Type 2 diabetes underwent a double-blinded randomized controlled crossover study. A 75-g oral glucose load was used to induce hyperglycaemia, which was administered to participants 60 min after they had ingested either low (control) or high-polyphenol chocolate. Participants undertook testing at weekly intervals, following an initial cocoa-free period. Endothelial function was assessed by both functional [reactive hyperaemia peripheral artery tonometry (EndoPAT-2000) and serum markers (including intercellular adhesion molecule 1, P-selectin and P-selectin glycoprotein ligand 1]. Urinary 15-F2t-isoprostane adjusted for creatinine was used as an oxidative stress marker. Measurements were made at baseline and 2 h post-ingestion of the glucose load., Results: Prior consumption of high-polyphenol chocolate before a glucose load improved endothelial function (1.7 ± 0.1 vs. 2.3 ± 0.1%, P = 0.01), whereas prior consumption of control chocolate resulted in a significant increase in intercellular adhesion molecule 1 (321.1 ± 7.6 vs. 373.6 ± 10.5 ng/ml, P = 0.04) and 15-F2t-isoprostane (116.8 ± 5.7 vs. 207.1 ± 5.7 mg/mol, P = 0.02). Analysis of percentage changes from baseline comparing control and high-polyphenol chocolate showed a significant improvement for high-polyphenol chocolate in both measures of endothelial function (P < 0.05) and for urinary 15-F2t-isoprostane (P = 0.04)., Conclusion: High-polyphenol chocolate protected against acute hyperglycaemia-induced endothelial dysfunction and oxidative stress in individuals with Type 2 diabetes mellitus., (© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.)

Introduction: We compared test performance and cost per case for strategies detecting diabetes on the oral glucose tolerance test (OGTT) using either (a) glycated haemoglobin (HbA1c) ≥ 6.5% (48 mmol/mol) or (b) two HbA1c thresholds where the first cut-point 'rules out' and the second 'rules in' diabetes. HbA1c values in between the thresholds require confirmatory glucose testing for diagnosis., Materials and Methods: We conducted an analysis of adults aged 40-75 years from the Leicester Ethnic Atherosclerosis and Diabetes Risk (LEADER) cohort (Leicester, UK), from 2002 to 2008, who underwent oral glucose tolerance testing (OGTT) and HbA1c testing., Results: From 8696 individuals (mean age 57.3 years, 73% white Europeans (WE) and 27% South Asians (SA)), HbA1c ≥ 6.5% produced sensitivity of 62.1% for detecting diabetes in WE and 78.9% in SA. Using two selected thresholds, HbA1c ≤ 5.8% (rule-in, 40 mmol/mol) and HbA1c ≥ 6.8% (rule-out, 51 mmol/mol) produced high sensitivity/specificity (> 91.0%) for detecting diabetes, however, 28.8% of the cohort with HbA1c 5.9%-6.7% required a subsequent glucose test. The two cut-point threshold produced a lower cost per case of diabetes detected in WE, compared to HbA1c ≥ 6.5% of £38.53 (1.89 to 86.81) per case, but was more expensive in SA by £84.50 (69.72 to 100.92) per case. Using a risk score to determine HbA1c testing, the same costs per case became £63.33 (23.33 to 113.26) in WE and £69.21 (55.60 to 82.41) in SA., Conclusion: Using a two-threshold strategy may have some benefits over a single cut-point; however, 28.8% of individuals required two blood tests.

Aims: Severe hypoglycaemia may have a role in aggravating micro- and macrovascular disease in diabetes. Data from the Diabetes Control and Complication Trial have been reanalysed to ascertain whether the frequency of severe hypoglycaemia exerted an influence on the development and progression of retinopathy or nephropathy in people with Type 1 diabetes., Methods: Using binary longitudinal multiple logistic regression, HbA(1c) at study baseline, mean HbA(1c) throughout the study and the number of severe hypoglycaemic episodes during the trial were compared to examine the risk of development/progression of retinopathy and nephropathy., Results: Average HbA(1c) during the study and/or HbA(1c) at baseline were independently predictive of retinopathy and nephropathy both in the intensively and the conventionally treated patients (all P ≤ 0.001). However, the number of hypoglycaemic episodes did not add to HbA(1c) in predicting retinopathy [odds ratio (95% CI) 0.99 (0.96-1.01), P = 0.51 in intensively treated patients, 0.94 (0.89-1.00), P = 0.05, conventional] or nephropathy [odds ratio (95% CI) 0.98 (0.95-1.01), P = 0.48 intensive, 1.03 (0.98-1.10), P = 0.17 conventional]., Conclusions: The frequency of exposure to severe hypoglycaemia did not predict a different risk of developing retinopathy or nephropathy in either treatment group of the Diabetes Control and Complications Trial at any given HbA(1c) ., (© 2012 The Authors. Diabetic Medicine © 2012 Diabetes UK.)

It is still unclear whether short-term, within-day, variability in glycaemic control is contributory to the development of diabetes micro- or macrovascular complications. However, consistent and compelling data are emerging that longer term fluctuations in glucose, as evidenced by increases in HbA(1c) variability, do indeed add to the mean HbA(1c) value in predicting the risk of microvascular disease. Until now, studies have found this to be the case mainly in type 1 diabetes, but in this issue of Diabetologia (DOI: 10.1007/s00125-012-2572-7 ) an analysis of the Tsukuba Kawai Diabetes Registry in Japan has found that HbA(1c) variability also predicts the risk of nephropathy in type 2 diabetic patients. These observations raise the possibility that reducing rises and falls in HbA(1c) may help avoid hyperglycaemia-related vascular disease without running the same risk of hypoglycaemia that a strategy focusing purely on lower HbA(1c) might incur.

Aims: To examine the impact of extensive flooding in a UK city in 2007 on the glycaemic control of patients with diabetes mellitus., Methods: This was a longitudinal study in patients with diabetes mellitus 12 months before and after the floods in Hull and East Yorkshire, UK. All patients registered with diabetes mellitus were sent questionnaires about their experiences during and after the floods. Glycaemic control for patients directly affected by the floods was compared against those unaffected., Results: Of 1743 respondents, 296 patients had been affected by the floods (110 insulin treated, 186 lifestyle and oral agents) and 1447 unaffected (482 insulin treated, 965 lifestyle and oral agents). There was a rise in mean HbA(1c) of affected individuals comparing 12 months before the floods with 12 months after [mean (95% confidence interval), 7.6% (7.5-7.7) vs. 7.9% (7.7-8.0), P = 0.002], but not those unaffected [7.5% (7.4-7.6) vs. 7.5% (7.4-7.6), P = 0.46]. The difference was mainly in insulin-treated patients [8.6% (8.3, 8.9) affected vs. 8.2% (8.1, 8.3) unaffected, (P = 0.002)]., Conclusions: Glycaemic control deteriorated in diabetes patients following the floods but was almost exclusively confined to patients taking insulin and was worst at 6-9 months following the event. Insulin-treated patients may need specific targeting in the event of a natural disaster., (© 2011 The Authors. Diabetic Medicine © 2011 Diabetes UK.)

Background: Oxidative stress describes the cellular damage caused by excess reactive oxygen species not adequately inactivated by antioxidants. Oxidative stress has been implicated in playing a role in many disorders. Lipid peroxidation end-products are employed as markers of oxidative stress, of which the isoprostane, 8-iso-PGF(2α), is widely used. 8-iso-PGF(2α) is measured in plasma or urine by gas chromatography-mass spectrometry (GC/MS), liquid chromatography-mass spectrometry (LC/MS), tandem-mass spectrometry or enzyme-linked immunosorbent assay (ELISA). However, discrepancies between the specificity of these methods means correlation is poor., Methods: A tandem-mass spectrometric (LC/MS/MS) method, using immunoaffinity purification, for urinary 8-iso-PGF(2α) was developed and compared with two commercial ELISAs (A--Cayman Chemicals, B--Oxford Biomedical Research) in urine samples (n = 156)., Results: An LC/MS/MS method coupled to immunoaffinity purification was developed with satisfactory performance and comparison to ELISAs A and B. Spearman rank correlation demonstrated significant correlation between all methods (P = <0.0001); however, r² values ranged from 0.68 to 0.72. Bland-Altman plots revealed a proportional positive bias of ELISA B when compared with ELISA A and LC/MS/MS. Furthermore, the agreement between ELISA A and LC/MS/MS was poor., Conclusions: The poor agreement between methods for measurement of 8-iso-PGF(2α) highlights differences in selectivity. 8-iso-PGF(2α) is an isoprostane, a family of isomeric end-products of arachidonic acid peroxidation, which are produced by peroxidation or enzymatically. This makes avoiding cross-reactivity between 8-iso-PGF(2α) and related isomers challenging. When assessing oxidative stress studies, the selectivity of the methods used should be taken into account, particularly when comparing studies.

Women with polycystic ovary syndrome (PCOS) were found to have a higher biological variability in insulin resistance (IR) compared to controls, but it is unknown whether this variability in IR differs between PCOS who are anovulatory compared to those who have an ovulatory cycle. The primary aim of this study was to compare and contrast the variability of IR in women with ovulatory and anovulatory PCOS, in comparison to normal subjects. 53 Caucasian women with PCOS and 22 normal ovulating women were recruited. Fasting blood was collected each day on 10 consecutive occasions at 3-4 day intervals for analysis of insulin, glucose, progesterone, and testosterone. Analysis of progesterone levels showed 22 of 53 women with PCOS to have had an ovulatory cycle. Insulin resistance was calculated by HOMA method. Women with anovulatory PCOS had higher mean and variability of IR compared to those having an ovulatory cycle, and both were significantly higher than controls (mean ± SEM; HOMA-IR 4.14 ± 0.14 vs. 3.65 ± 0.15 vs. 2.21 ± 0.16, respectively) after adjustment or BMI. The mean BMI for individual PCOS patients correlated with mean HOMA-IR (p=0.009). Insulin resistance in women with anovulatory PCOS is both higher and more variable than in ovulatory PCOS. Since anovulatory PCOS therefore mimics the IR features of type 2 diabetes more closely, anovulation may be particularly associated with a higher cardiovascular risk compared to PCOS patients who ovulate., (© Georg Thieme Verlag KG Stuttgart · New York.)

Aim: To examine the effects of chocolate on lipid profiles, weight and glycaemic control in individuals with Type 2 diabetes., Methods: Twelve individuals with Type 2 diabetes on stable medication were enrolled in a randomized, placebo-controlled double-blind crossover study. Subjects were randomized to 45 g chocolate with or without a high polyphenol content for 8 weeks and then crossed over after a 4-week washout period. Changes in weight, glycaemic control, lipid profile and high-sensitivity C-reactive protein were measured at the beginning and at the end of each intervention., Results: HDL cholesterol increased significantly with high polyphenol chocolate (1.16 ± 0.08 vs. 1.26 ± 0.08 mmol/l, P = 0.05) with a decrease in the total cholesterol: HDL ratio (4.4 ± 0.4 vs. 4.1 ± 0.4 mmol/l, P = 0.04). No changes were seen with the low polyphenol chocolate in any parameters. Over the course of 16 weeks of daily chocolate consumption neither weight nor glycaemic control altered from baseline., Conclusion: High polyphenol chocolate is effective in improving the atherosclerotic cholesterol profile in patients with diabetes by increasing HDL cholesterol and improving the cholesterol:HDL ratio without affecting weight, inflammatory markers, insulin resistance or glycaemic control.

There is still a debate as to whether or not glucose variability contributes to diabetes complication risk. There is much in vitro laboratory evidence that glycaemic instability gives rise to increased production of reactive oxygen species and has a detrimental effect on endothelial dysfunction. While some in vivo studies have also shown similar findings in patients with or without diabetes, others have been unable to confirm any association. Furthermore, clinical studies which have sought to translate this possible risk into an increased likelihood of developing micro- or macrovascular complications have so far not demonstrated an effect. However, few of these trials were specifically designed to establish any influence of glucose fluctuations. This issue is now one of the largest remaining unanswered questions in diabetes. While this article focuses on the data which do not support a role for glucose variability in the development of complications, it also highlights the need for further studies to be performed which will definitively resolve the matter.

Aim: The benefit of direct, as opposed to calculated, low density lipoprotein -cholesterol (LDL-C) measurement remains unclear. This study compared the biological variability of direct LDL in patients with type 2 diabetes (T2DM) on equivalent doses of the short half-life statin, simvastatin or the longer half-life statin, atorvastatin., Methods: A cross-over study of biological variation of lipids in 26 patients with T2DM taking either simvastatin 40 mg (n = 10) or atorvastatin 10 mg. After 3 months on one statin, fasting lipids were measured on 10 occasions over a 5-week period. The same procedure was then followed on the other statin. The variability of LDL-C was established using a Beckman direct assay., Results: As a group, mean LDL was no different between statins (mean +/- s.d.) (1.69 +/- 0.60 mmol/l simvastatin vs. 1.67 +/- 0.60 mmol/l atorvastatin, p = 0.19). However, in all patients, the intraindividual biological variability of LDL while taking simvastatin was markedly higher than with atorvastatin (average s.d. = 0.17 mmol /l simvastatin vs. 0.01 mmol/l, p < 0.0001). Friedewald calculated LDL variability was no different between statins (average s.d. = 0.34 mmol /l simvastatin vs. 0.21 mmol/l atorvastatin, p = 0.19)., Conclusions: In contrast to calculated values, direct measurement revealed LDL to be much more stable (the s.d. being an order of magnitude) in T2DM patients taking atorvastatin rather than simvastatin. This means LDL targets can be consistently met with less lipid monitoring using atorvastatin rather than simvastatin. Direct LDL measurement may therefore have a particular role in monitoring patients on statin treatment.

Background: There is compelling evidence showing that achieving good glycaemic control reduces the risk of microvascular complications in people with type 1 and type 2 diabetes. Likewise, there is clear evidence to show that achieving good glycaemic control reduces the risk of macrovascular complications in type 1 diabetes. The UKPDS 10-year follow up suggests that good glycaemic control also reduces the risk of macrovascular complications in type 2 diabetes. Despite this, recent results from ACCORD, ADVANCE and VADT present conflicting results and data from the ACCORD trial appear to suggest that very low HbA(1c) targets (<6.0%) may, in fact, be dangerous in certain patient populations., Aim: To review recent results from ACCORD, ADVANCE and VADT and provide clear guidance on the clinical significance of the new data and their implications for the practising physician treating patients with type 2 diabetes., Methods: A Pubmed search was used to identify major randomised clinical trials examining the association between glycaemic control and diabetes-associated complications. The data was reviewed and discussed by the GTF through a consensus meeting. The recommendations for clinical practice in this statement are the conclusions of these analyses and discussions., Results: Evidence from ACCORD, ADVANCE, VADT and UKPDS suggests that certain patient populations, such as those with moderate diabetes duration and/or no pre-existing CVD, may benefit from intensive blood glucose control. These trials highlight the benefit of a multifactorial treatment approach to diabetes. However, ACCORD results indicate that aggressive HbA(1c) targets (<6.0%) may not be beneficial in patients with existing CVD and a longer duration of diabetes., Conclusions: Glycaemic control remains a very important component of treatment for type 2 diabetes and contrasting results from the ACCORD, ADVANCE and VADT should not discourage physicians from controlling blood glucose levels.

Background: Glycated haemoglobin (HbA1c) is an indicator of average blood glucose concentrations over the preceding 3 months, is simpler to perform than either a fasting glucose or glucose tolerance test and is associated with a worse prognosis in some clinical settings. However, its relationship to survival in patients with suspected heart failure has not been studied., Methods: Patients referred to a community-based heart failure clinic with suspected heart failure had a comprehensive assessment including the measurement of HbA1c. For this analysis, patients with DM or who started diabetic medication in the subsequent 12 months, which might influence HbA1c, were excluded., Findings: Of 970 non-diabetic patients referred between 2001 and 2004, the median age was 72 years (range 25 to 96 years), 56% were men, 45% had left ventricular ejection fraction (LVEF) 6% (upper reference limit). Among patients with LVEF 6.7% (n = 68) compared with those with HbA1c 45% (HR 1.44, p = 0.36 after adjustment)., Interpretation: The abrupt increase in mortality with HbA1c may make it a useful risk stratification tool in non-diabetic patients with LVEF

Background: There is an assumption that the mean and biological variation of insulin resistance (IR) is less in polycystic ovary syndrome (PCOS), and intuitively higher in type 2 diabetes (T2DM). To test this hypothesis we compared the mean and biological variation in IR in PCOS to that of T2DM and to age- and weight-matched controls., Methods: Twelve PCOS, 11 matched healthy women; 12 postmenopausal diet-controlled T2DM and 11 matched healthy postmenopausal women were recruited. Blood samples were collected at 4-d intervals on 10 consecutive occasions. The biological variability of IR was derived on duplicate samples., Results: Mean and biological variability of HOMA-IR for PCOS did not differ from T2DM. Both measures were higher than the matched controls. There was no difference in insulin or IR measures between the body mass index matched pre- and postmenopausal women. Percentage beta cell function were 208.8%, 62.3%, 106.5% and 111.9%, respectively, in PCOS, postmenopausal women with T2DM, healthy premenopausal and healthy postmenopausal women., Conclusions: The progression from PCOS to the development of T2DM is unlikely to be due to a further increase in IR (or variability), but rather the progressive failure of pancreatic beta cells with a decrease in insulin production. The clinical trial registration number for this study is ISRCTN65353256.

Context: Mean insulin resistance (IR) is greater and it is also more variable in overweight women with polycystic ovarian syndrome (PCOS) compared to weight matched controls. Whilst treatment will reduce the mean IR, it is not known if the IR variability is also reduced., Objective: To compare the change in IR and its variability before and after treatment with insulin sensitization through metformin and pioglitazone, compared to that induced by weight loss with orlistat., Design: Randomized, open labelled parallel study., Setting: Endocrinology outpatient clinic at a referral centre., Patients: Thirty obese PCOS patients [BMI 36.0 +/- 1.2 kg/m(2) (mean +/- SEM)] participated in the study., Intervention: The change in biological variability (BV) was assessed by measuring IR (homeostasis model assessment method) at 4-day intervals on 10 consecutive occasions before and 12 weeks after randomization to metformin, pioglitazone or orlistat., Outcome Measured: The primary end point of the study was a change in BV of IR., Results: Treatment with pioglitazone, orlistat and metformin reduced the overall IR by 41.0 +/- 4.1%, 19.7 +/- 6.4% and 16.1 +/- 6.8% (P = 0.005, P = 0.013, P = 0.17, respectively) and IR variability by 28.5 +/- 18.0%, 41.8 +/- 11.6% and 23.7 +/- 17.0 (P = 0.20, P = 0.015 and P = 0.28, respectively). Free androgen index reduced significantly with all treatments., Conclusion: Only orlistat reduced both IR and its variability significantly, though all three drugs were effective in reducing hyperandrogenism within the 12-week period of the study.

Haemoglobin A(1c) (HbA(1c)) is due to celebrate its 40th birthday. Many people would argue that the clinical studies relating the test to diabetes complications while in its late 20s are likely to be its finest ever achievement. However, this article looks at how HbA(1c) has matured since then and discusses in detail how its many strengths and idiosyncrasies as a marker of glycaemic risk have, as a 30-something, become more clearly understood. As HbA(1c) approaches middle age, this paper also describes how the test appears to be developing a mid-life crisis, as debate over how its results should be expressed seems likely to divide opinion among clinicians for some time to come.

Background: Good glycaemic control is crucial in reducing the risk of diabetes-related complications. Despite the availability of evidence-based treatment guidelines, glycaemic control appears to remain suboptimal in most countries., Objectives: In this commentary we outline the extent to which diabetes guideline targets on HbA(1c) are being met in clinical practice and--where targets are being missed--to identify potential reasons for this shortfall. Furthermore, we discuss possible actions that may improve glycaemic control., Methods: A literature search of MEDLINE using 20 core terms was conducted to help assess the state of glycaemic control in patients with type 2 diabetes worldwide., Results: Despite clinical guidelines, evidence suggests that glycaemic control is suboptimal in most parts of the world, with average HbA(1c) values varying from 7.0% to 12.6% and thus above virtually all HbA(1c) recommendations. The potential reasons for this shortfall are numerous. However, lack of diabetes education and awareness of HbA(1c) appear to be particularly important. A number of education initiatives from around the world have been shown to improve HbA(1c) levels significantly and thus improve standards of care., Conclusions: Poor glycaemic control in patients with type 2 diabetes appears to be a worldwide problem. As the global rise in diabetes (and its complications) seems destined to affect many less affluent countries, it is essential that appropriate steps are taken to address the barriers to good glycaemic control and ultimately improve outcomes for all people with type 2 diabetes.

Aims: To determine the biological variability of lipids in patients with Type 2 diabetes (T2DM) who are on statin treatment and then to assess any implications for current lipid targets., Methods: A cross-over study of biological variation of lipids in 26 patients with T2DM taking either simvastatin 40 mg or atorvastatin 10 mg. After 3 months on one statin, fasting lipids were measured on 10 occasions over a 5-week period. Following 3 months on the other statin, 10 further samples were taken over 5 weeks. The main outcome measures were biological variability of total cholesterol (TC), low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglycerides., Results: The coefficient of variation (CV) of TC, LDL, HDL and triglycerides on simvastatin was 8.17, 13.11, 7.95 and 12.06%, respectively, whereas the CV on atorvastatin was 6.92, 10.30, 5.13 and 19.71%, respectively, with no statistically significant differences between statins. Treating to sustain a target TC < 5.0 mmol/l or LDL < 3.0 mmol/l means needing to maintain a mean TC of 4.3-4.4 mmol/l or LDL of 2.4-2.5 mmol/l. Treating to consistently achieve an LDL < 2.0 mmol/l means aiming for a mean of only 1.5-1.6 mmol/l., Conclusion: In patients with T2DM taking either simvastatin or atorvastatin, the mean TC and LDL concentrations needed to consistently remain below a target are much lower than the target value itself. This means that guideline target limits extrapolated from the mean values of patients participating in clinical studies may overestimate the lipid reductions required.

Objective: Hyperandrogenaemia is one of the three Rotterdam consensus diagnostic criteria for polycystic ovarian syndrome (PCOS) and may be measured by estimation of total testosterone, free androgen index (FAI) or bioavailable testosterone (BioT). The aim of this study was to compare the biological variability of total testosterone with that of the biological variability of both the FAI and BioT, to determine the least variable measurement for clinical practice., Design: Comparative study., Patients: Blood samples were collected after an overnight fast at 4-day intervals on 10 consecutive occasions from 12 PCOS patients and 11 weight- and age-matched control women., Measurements: Duplicate samples of stored serum were analysed for total testosterone, SHBG and BioT in a single batch., Results: The PCOS group had a significantly higher median BioT, FAI and total testosterone than controls. In both the PCOS and control groups, the intraindividual variance was small and similar for BioT and FAI. There was no significant difference between the within-subject biological coefficient of variation (CV(I)) for BioT, FAI and total testosterone. The maximum and minimum critical differences were +58% and -37% for BioT and +70% and -40% for FAI, respectively., Conclusion: FAI appears to be the better diagnostic marker to distinguish hyperandrogenism in patients with PCOS, but once diagnosis has been made, all three methods should be equally good in monitoring further changes in the androgen status.

Aims/hypothesis: It is not known whether mean blood glucose (MBG) predicts the risk of macrovascular complications in diabetes any differently from HbA1c. In this study we therefore analysed data from the Diabetes Control and Complications Trial (DCCT) to assess the relationship between MBG, HbA1c and glucose variability with regard to the risk of cardiovascular disease in patients with type 1 diabetes., Methods: Pre- and postprandial seven-point glucose profiles were collected quarterly during the DCCT in 1441 individuals. The relationship between time to first cardiovascular event and MBG, HbA1c and daily SD of blood glucose was assessed by Cox regression after adjusting for the known risk factors of macrovascular disease and the treatment groups of the patients., Results: Cox regression showed MBG to be predictive of a cardiovascular event (p=0.019), but not HbA1c (p=0.858). A rise of 1 mmol/l in MBG was associated with an 11% rise in cardiovascular risk. MBG remained highly predictive (p=0.015) even after adjustment for HbA1c values and glucose variability., Conclusions/interpretation: This study has shown that during the DCCT MBG was a better predictor of the macrovascular complications of type 1 diabetes than HbA1c. It indicates that the cardiovascular risk associated with hyperglycaemia appeared within the time period of the study and that blood glucose rather than HbA1c may be the preferred means of assessing this risk.

Aims/hypothesis: The main disadvantage of intensive treatment in the Diabetes Control and Complications Trial (DCCT) was an increased risk of hypoglycaemia that was not explained by the difference in HbA(1c) values alone. This study re-analysed DCCT data to establish whether mean blood glucose (MBG) and/or glucose variability add to the predictive value of HbA(1c) for hypoglycaemia risk in type 1 diabetes., Methods: The times to first and subsequent severe hypoglycaemic events were compared with MBG, HbA(1c) and within-day SD of blood glucose using Cox regression after adjusting for other known risk factors for hypoglycaemia., Results: On its own, the incidence of time to first hypoglycaemic event increased 1.05-fold for each 1 mmol/l decrease in MBG and 1.07-fold for every 1 mmol/l increase in glucose SD. MBG and SD of blood glucose also both added to the ability of HbA(1c) to predict repeated hypoglycaemic events: after adjusting for HbA(1c), a 1 mmol/l increase in SD was associated with a 1.09-fold increased risk of a first event, increasing to a 1.12-fold risk of a fifth event. A 1 mmol/l fall in MBG added a constant 1.02-1.03-fold risk of repeated events. Daytime events were predicted more accurately than nocturnal episodes., Conclusions/interpretation: This study has established that HbA(1c), MBG and glucose variability measurements each have an independent role in determining an individual's risk of hypoglycaemia in type 1 diabetes. All three aspects of glycaemic assessment should thus be considered in patients in whom hypoglycaemia is a real or potential problem.

Aims: Renal impairment is a contraindication to metformin treatment because of the perceived increased risk of lactic acidosis. Current guidelines define renal impairment according to the serum creatinine of the individual, but this measure is being supplanted by the use of estimated glomerular filtration rate (eGFR) as it gives a closer estimate to true GFR. This study aimed to establish pragmatic eGFR limits for use in patients being considered for metformin treatment., Methods: Estimated GFR measurements corresponding to currently used metformin creatinine limits of 130 and 150 micromol/l were derived and then applied to 12 482 patients with diabetes in Hull and East Yorkshire., Results: Few patients with a serum creatinine of 130 or 150 micromol/l have an eGFR of < 30 ml/min/1.73 m(2)[chronic kidney disease (CKD) stage 4 or greater], while most are between 30 and 59 ml/min/1.73 m(2) (CKD stage 3). When applied to the 12 482 patients (median age 67 years, interquartile range 56-75), males predominated when using creatinine cut-offs (13.6% of males and 8.3% of females had creatinine > 130 micromol/l; 8.2% males and 5.2% females > 150 micromol/l), but not using eGFR CKD thresholds (3.3% males and 4.7% females < 30 ml/min/1.73 m(2); 20.8% males and 28.1% females eGFR 30-59 ml/min/1.73 m(2)). Similar proportions of patients as currently would have metformin withheld if using eGFR cut-offs between 30 and 49 ml/min/1.73 m(2)., Conclusions: We have proposed pragmatic eGFR limits to guide metformin prescribing in patients with renal impairment. CKD stage 4 or greater should be an absolute contraindication to metformin, while CKD stage 3 should alert clinicians to consider other risk factors before initiating or continuing treatment.

Background: The stability of creatinine in whole blood is unclear: it is not known if analysis of creatinine in samples with delayed separation could lead to misclassification of chronic kidney disease (CKD) using estimated glomerular filtration rate (eGFR)., Methods: Multiple blood samples were taken at a single time-point from five individuals and subject to varying time delays prior to centrifugation, after which serum was separated and analysed for creatinine by five different methods. The effect of time delay on eGFR was further investigated by measuring creatinine on duplicate patient samples arriving in the laboratory after immediate and delayed centrifugation., Results: A significant increase in creatinine was seen by 24 h using kinetic Jaffe methods (P<0.025). Over a period of 31 h creatinine concentration was stable using enzymatic creatinine assays. Using duplicate patient samples, four of 21 patients where specimens were delayed in the laboratory by more than 10 h showed a misclassification of CKD., Conclusion: Delays in sample receipt can lead to significant increases in measured creatinine and misclassification of CKD. Enzymatic creatinine assays are reliable with respect to delayed sample receipt over the time course studied.

Background: Direct (non-extracted) testosterone immunoassays may give spuriously high results in women. The presumed interferents may be removed if testosterone is extracted into an organic phase before being measured. We aimed to clarify possible causes and effects of interference in testosterone measurement in women., Methods: Women who had a blood sample referred to Hope Hospital Clinical Biochemistry laboratory for measurement of serum testosterone concentration over a six-month period were studied. Clinical and treatment data were recorded. A difference (direct-minus-extracted testosterone) of less than 1.0 nmol/L was used to define a group with low interference. A difference of 2.5 nmol/L or more was used to define a group with significant interference., Results: The distribution of interference in 1271 serum samples from female patients was unimodal. There were no group differences in clinical presentation or treatment. The median degree of interference was 1.4 nmol/L. In 42 female patients with varying degrees of interference, identified on routine assay, regression analysis showed strong association between dehydroepiandrosterone sulphate (DHEA-S) and interference (direct-minus-extracted testosterone) (r = 0.77, P < 0.001)., Conclusions: Given that DHEA-S is present in very variable amounts in blood, it is possible that even with a low cross reactivity, DHEA-S or one of its metabolites significantly interferes in the testosterone assay when at higher concentrations.

Background: There are known difficulties in measuring testosterone in women using 'direct' (non-extraction) immunoassays. The positive bias encountered in many of these assays has been attributed to an unidentified interfering substance. We have evaluated the potential for dehydroepiandrosterone sulphate (DHEA-S) to cross-react in the Abbott Architect testosterone assay., Methods: Samples (n = 81) from female patients who had DHEA-S, direct and extracted testosterone measured were examined retrospectively. Possible cross-reactivity was evaluated by spiking both testosterone free assay diluent and serum from a woman with exogenous DHEA-S., Results: The retrospective patient analysis of the data demonstrated a relationship between interference and DHEA-S (r = 0.78, P < or = 0.0001). Spiking studies revealed a linear relationship between added DHEA-S and the measured testosterone concentration. Consistent with the retrospective study, for every 1 micromol/L increase in DHEA-S, 0.23 nmol/L of testosterone was measured in the diluent. Spiking DHEA-S into serum gave only a 0.12 nmol/L increase in measured testosterone for every 1 micromol/L rise in DHEA-S., Conclusion: DHEA-S cross-reacts in the Abbott Architect direct immunoassay for testosterone to a clinically significant effect. This cross-reactivity is likely to be responsible for much of the interference observed when measuring testosterone in women by this method.

A 57-year-old Caucasian woman with Type 2 diabetes treated for seven years with diet and oral combination hypoglycaemic therapy was referred because of the progressive deterioration of glycaemic control. She was obese (77 kg, BMI = 39.9), hypertensive, hypercholesterolaemic with marked osmotic symptoms (HbA(1c) 12.2%), therefore she was started on insulin (Human Mixtard 30 b.d.) with metformin therapy. Dietary counselling, recommendations to increase physical activity, and supervised self-injection technique with titration of her insulin were also provided. She was routinely followed-up to assess her progress. Two years later, her glycaemic control remained suboptimal. Average HbA(1c) was 10.4% despite an increasingly high dose of insulin (94 units/day) although it improved when metformin was increased to 1 g t.d.s. (HbA(1c) = 9.3%). Her BMI progressively rose from 39.9 to 42.1 (77 to 82.5 kg) despite dietary advice. A trial of orlistat (three months) was commenced, after intensive dietary counselling, that reduced her body weight by 1.5 kg (2% reduction, BMI 41.3). However, her HbA(1c) improved by 0.5% (from 9.3 to 8.8%). Six months after orlistat was stopped her HbA(1c) rose to 10.5% and weight increased to 81.8 kg (BMI 41.8). Despite the orlistat treatment broaching NICE guidelines should it have been continued?

The objective of this study was to evaluate and compare the effect of treatment with orlistat vs. metformin on the hormonal and biochemical features of patients with polycystic ovarian syndrome (PCOS). Twenty-one Caucasian women with PCOS [mean (+/-SEM) age 27 +/- 0.9 yr and body mass index 36.7 +/- 3.3 kg/m(2)] participated in this prospective, randomized, open-labeled study. All subjects had an 8-wk run-in period of dietary modification and then randomized to receive either metformin (500 mg three times daily) or orlistat (120 mg three times daily) for 3 months. Weight, blood pressure, and fasting blood samples were taken at screening, randomization, and on completion. Insulin resistance (IR) was calculated using the homeostasis model of assessment (HOMA)-IR method [HOMA-IR = (insulin x glucose)/22.5]. The results are expressed as mean +/- SEM. When compared with baseline, treatment with both orlistat [93.5 +/- 11.5 ng/dl (3.24 +/- 0.4 nmol/liter) vs. 114.5 +/- 11.5 ng/dl (3.97 +/- 0.4 nmol/liter), P = 0.039] and metformin [97.2 +/- 11.5 ng/dl (3.37 +/- 0.4 nmol/liter) vs. 120.0 +/- 8.7 ng/dl (4.16 +/- 0.3 nmol/liter), P = 0.048] produced a significant reduction in total testosterone. Treatment with orlistat produced a 4.69% reduction in weight (99.0 +/- 6.0 vs. 94.6 +/- 6.1 kg, P = 0.002), and this reduction was more significant than the reduction produced by metformin (4.69 vs. 1.02%, P = 0.006). There was no significant reduction seen after either treatment group for fasting insulin, HOMA-IR, SHBG, or any of the lipid parameters studied. In this study, orlistat produced a significant reduction in weight and total testosterone. The reduction in total testosterone was similar to that seen after treatment with metformin. Therefore, orlistat may prove to be a useful adjunct in the treatment of PCOS.

Introduction: There is little evidence that the addition of interpretative comments to biochemistry reports can influence outcome for patients. Interpretative comments on thyroid function test (TFT) requests were introduced in Hull in August 1999, providing the opportunity to determine whether feedback on hypothyroid patients taking thyroxine could lead to a reduction in the proportion whose thyroxine was inadequately replaced., Patients and Methods: The study comprised 15 584 TFT requests, made from 1 August 1999 to 30 August 2002 by general practitioners (GPs), for 8281 patients taking thyroxine. Under-replacement of thyroxine, defined as a TSH concentration above the upper reference limit (i.e. 4.7 mU/L), was usually commented on in the biochemical report., Results: In the first, second and third years following introduction of interpretative comments, the proportions of samples with a TSH concentration of >4.7 mU/L were 21.3%, 17.6% and 16.6%, respectively (chi(2)(trend) = 43.1, P <0.0001). The proportion with a TSH concentration of <0.1 mU/L showed a more modest change, from 12.5% in year 1 to 14.0% and 14.8% in years 2 and 3, respectively (chi(2)(trend) = 22.3, P <0.0001)., Conclusion: This study shows that in the three years following the introduction of interpretative comments there was a 22% reduction in the number of GPs' samples indicating thyroxine under-replacement. It seems likely that these data provide evidence that comments can indeed influence the biochemical outcome of patients.

This study was designed to assess the biological variability of total testosterone and SHBG in polycystic ovarian syndrome (PCOS) and to determine the use of SHBG as a surrogate marker of insulin resistance in PCOS. Fasting blood samples were collected at 4-d intervals on 10 consecutive occasions from 12 PCOS patients and 11 age- and weight-matched controls. Duplicate samples were analyzed for SHBG, testosterone, and insulin in a single batch, and insulin resistance was calculated by the homeostasis model assessment method (HOMA-IR). The PCOS group had higher testosterone (mean +/- SD, 3.9 +/- 0.8 vs. 3.2 +/- 1.3 nmol/liter; P = 0.001), lower SHBG (28.6 +/- 17.1 vs. 57.6 +/- 30.2 nmol/liter; P = 0.001), and greater HOMA-IR (5.85 +/- 5.3 vs. 1.67 +/- 0.63 U; P = 0.001) than the controls. In contrast to HOMA-IR (1.09 vs. 0.48 U; P = 0.001), the intraindividual variation in SHBG was lower in the PCOS group (mean, 3.4 vs. 6.3 nmol/liter; P = 0.041). The index of individuality for SHBG and testosterone in PCOS was 0.49 and 0.69, respectively. This study shows that for patients with PCOS, SHBG is an integrated marker of insulin resistance that may be of use to identify insulin-resistant individuals for targeted treatment with insulin-sensitizing agents. However, SHBG and testosterone concentrations measured in isolation are inherently unsuitable for use as tests to detect hyperandrogenemia.

Increased insulin resistance (IR) is a cardinal feature of overweight patients with polycystic ovarian syndrome (PCOS). However, there are no data on the variability of IR for subjects with PCOS. The biological variation of IR (homeostasis model assessment model) was assessed by measuring IR at 4-d intervals on 10 consecutive occasions in 12 overweight PCOS patients (median age, 28 yr; range, 18-31 yr) and 11 weight-matched control women having regular menses and without PCOS (median age, 30 yr; range, 19-33 yr). The distribution of IR was log Gaussian in PCOS and Gaussian distribution in the control group. The IR in PCOS subjects was significantly greater than in the controls [mean (range), 5.85 U (1-42.1) vs. 1.67 U (0.48-3.49); P = 0.001]. After accounting for analytical variation, the mean intraindividual variance was also substantially greater in PCOS patients than in controls (mean, 1.19 vs. 0.23). As a consequence, at any level of IR, a subsequent sample must rise by more than 322% or fall by more than 31% to be considered significantly different from the first. IR, measured using the homeostasis model assessment model, is significantly greater and more variable for overweight patients with PCOS. Therefore, this inherent variability needs to be accounted for in studies of IR in PCOS.