Glycosylated Hemoglobin as an Age-Specific Predictor and Risk Marker of Colorectal Adenomas in Non-Diabetic Adults.

Background: Diabetes is a risk factor for colorectal neoplasms. The association between the level of glycosylated hemoglobin (HbA1c) and the risk of colorectal adenomas (CRAs) in non-diabetic adults needs to be investigated. Methods: A cross-sectional study was performed on non-diabetic adults with normal HbA1c level who underwent colonoscopy between January 2010 and December 2016 during health check-ups in our hospital in China. The association between HbA1c level and CRAs was assessed by multiple logistic regression models stratified by age group (<40, ≥40 and <50, and ≥50 years old). The age group-specified thresholds for HbA1c on elevated risk of CRAs were estimated using the piecewise logistic regression. Results: Among the 2,764 subjects, 445 (16.1%) had CRA. The prevalence of CRA varied across the three age groups. A higher HbA1c level was found to be significantly associated with increased CRA risk in the 40-50 years group (odds ratio [OR]=1.70, 95% confidence interval [CI] 1.04-2.78, p=0.035) after adjusting for other related factors, while this association was borderline significant among the 50 years and older group (OR=1.57, 95% CI 0.97-2.54, p=0.067). Based on the piecewise logistic regression analysis results, the thresholds for HbA1c on elevated risk of CRA were 5.44% for the 40-50 years group and 4.81% for the 50 years and older group, respectively. Conclusions: Higher levels of HbA1c, even within the normal range, were associated with elevated CRA risk among non-diabetic adults. The threshold effects of HbA1c on the risk of CRA varied across different age groups, and early screening colonoscopy might be needed for individuals in their 40s and with HbA1c levels ≥5.44%.

Myostatin serum levels in children with type 1 diabetes mellitus.

PURPOSE: Type 1 diabetes mellitus (T1DM) can cause several complications, among them myopathy, which can appear even in adolescents. This is of importance, since skeletal muscle is the largest of the insulin-sensitive tissues and thus plays a significant role in glucose homeostasis. A prime regulator of skeletal muscle mass is myostatin, a protein which has a negative role in skeletal muscle development but also in glucose homeostasis, causing insulin resistance. Since myopathy is a complication of T1DM and myostatin is a fundamental regulator of skeletal muscle and is also involved in glucose homeostasis, we investigated the serum levels of myostatin in children with T1DM. METHODS: We determined myostatin serum levels using ELISA in 87 children with T1DM aged 10.62 ± 3.94 years, and in 75 healthy children aged 10.46 ± 3.32 years old. RESULTS: Myοstatin was significantly elevated in T1DM compared to the healthy control children (23.60 ± 7.70 vs 16.74 ± 6.95 ng/ml, p < 0.0001). Myostatin was not correlated with body mass index (BMI) SD or hemoglobin A1c (HbA1c). CONCLUSION: Children with T1DM have significantly higher serum levels of myostatin compared to healthy children of the same age and BMI SD. The elevated myostatin in T1DM could reflect impaired muscle function and/or glucose metabolism, or could represent a homeostatic mechanism.

Diagnosing type 2 diabetes using Hemoglobin A1c: a systematic review and meta-analysis of the diagnostic cutpoint based on microvascular complications.

AIMS: Diabetic microvascular complications of retinopathy, nephropathy and neuropathy may occur at hemoglobin A1c levels (HbA1c) below the 6.5% (48 mmol/mol) diagnostic threshold. Our objective was to assess the validity of the HbA1c diagnostic cutpoint of 6.5% based upon published evidence of the prevalence of retinopathy, nephropathy and neuropathy as markers of diabetes. METHODS: Data Sources PubMed, Embase, Cochrane, Scopus and CINAHL from 1990-March 2019, grey literature sources. Study Selection All studies reported after 1990 (to ensure standardized HbA1c values) where HbA1c levels were presented in relation to prevalence of retinopathy, nephropathy or neuropathy in subjects not known to have diabetes. Data Extraction Studies were screened independently, data abstracted, and risk of bias appraised. Data Synthesis Data were synthesized using HbA1c categories of < 6.0% (< 42 mmol/mol), 6.0-6.4% (42-47 mmol/mol) and ≥ 6.5% (≥ 48 mmol/mol). Random-effects meta-analyses were conducted for retinopathy, nephropathy and neuropathy prevalence stratified by HbA1c categories. Random-effects multivariable meta-regression was conducted to identify predictors of retinopathy prevalence and sources of between-study heterogeneity. RESULTS: Pooled mean prevalence was: 4.0%(95% CI: 3.2-5.0%) for retinopathy, 10.5% (95% CI: 4.0-19.5%) for nephropathy, 2.5% (95% CI: 1.1-4.3%) for neuropathy. Mean prevalence when stratified for HbA1c < 6.0%, 6.0-6.4% and ≥ 6.5% was: retinopathy: 3.4% (95% CI: 1.8-5.4%), 2.3% (95% CI: 1.6-3.2%) and 7.8%(95% CI: 5.7-10.3%); nephropathy: 7.1% (95% CI: 1.7-15.9%), 9.6% (95% CI: 0.8-26.4%) and 17.1% (95% CI: 1.0-46.9%); neuropathy: 2.1% (95% CI: 0.0-6.8%), 3.4% (95% CI: 0.0-11.6%) and 2.8% (95% CI: 0.0-12.8%). Multivariable meta-regression showed HbA1c ≥ 6.5% (OR: 4.05; 95% CI: 1.92-8.57%), age > 55 (OR: 3.23; 95% CI 1.81-5.77), and African-American race (OR: 10.73; 95% CI: 4.34-26.55), to be associated with higher retinopathy prevalence. Marked heterogeneity in prevalence estimates was found across all meta-analyses (Cochran's Q-statistic p < 0.0001). CONCLUSIONS: The prevalence of nephropathy and moderate retinopathy was increased in subjects with HbA1c values ≥ 6.5% confirming the high specificity of this value for diagnosing T2DM; however, at HbA1c < 6.5% retinopathy increased at age > 55 years and, most strikingly, in African-Americans, suggesting there may be excess microvascular complication prevalence (particularly nephropathy) in individuals below the diabetes diagnostic threshold.

Increased Oxidative Stress Underlies Abnormal Pain Threshold in a Normoglycemic Japanese Population.

Normal-high HbA1c levels are a risk factor for attenuated pain sensation in normoglycemic subjects. It is unclear, however, what mechanisms underlie the pathogenesis of attenuated pain sensation in such a population. We, therefore, explored the relationship between oxidative stress (OS) and pain sensation in a rural Japanese population. A population-based study of 894 individuals (average age 53.8 ± 0.5 years) and 55 subjects with impaired fasting glucose (IFG) were enrolled in this study. Individuals with diabetes were excluded. Relationships between pain threshold induced by intraepidermal electrical stimulation (PINT) and clinico-hematological parameters associated with OS were evaluated. Univariate linear regression analyses revealed age, BMI, HbA1c, the OS biomarker urine 8-hydroxy-2'-deoxyguanosine (8-OHdG), systolic blood pressure, and decreased Achilles tendon reflex on the PINT scores. Adjustments for age, gender, and multiple clinical measures confirmed a positive correlation between PINT scores and urine 8-OHdG (ß = 0.09, p < 0.01). Urine 8-OHdG correlated positively with higher HbA1c levels and age in the normoglycemic population. Unlike in the normoglycemic population, both inflammation and OS were correlated with elevated PINT scores in IFG subjects. OS may be a major contributing factor to elevated PINT scores in a healthy Japanese population.

Skeletal Muscle Ratio: A Complete Mediator of Physical Activity and HbA1C in Type 2 Diabetes.

BACKGROUND: An increase in the physical activity level reduces body weight, decreases body fat, increases skeletal muscle mass, and improves serum glucose; however, the influence of body composition parameters on the relationship between physical activity and serum glucose remains unclear. OBJECTIVE: This study investigated whether skeletal muscle and visceral fat affect the relationship between high physical activity and long-term serum glucose goals. METHOD: This cross-sectional study recruited patients with type 2 diabetes. The Chinese version of the International Physical Activity Questionnaire was used for estimating the physical activity level, and a bioimpedance device was used to measure the skeletal muscle ratio (skeletal muscle mass/total body weight, %) and visceral fat area (cm2). Hierarchical logistic regression models and mediation tests were conducted according to Hayes' procedures. RESULTS: Of the total 543 Chinese individuals with type 2 diabetes enrolled, HbA1C levels of fewer than half (n = 243, 44.8%) met the target of ≤7.0%. The skeletal muscle ratio was found to be a complete mediator (OR = 0.920, 95% CI: 0.848 to 0.998; indirect effect: -0.238, 95% CI: -0.525 to -0.020) of the relationship between high physical activity and the target HbA1C level after controlling for visceral fat area (indirect effect: -0.013, 95% CI: -0.183 to 0.156), age, time since diabetes diagnosis, and rice intake. CONCLUSION: Nurses should include an increase in the skeletal muscle ratio as an objective in physical activity interventions for patients with type 2 diabetes to help them achieve their long-term serum glucose goals.

Role of social and other determinants of health in the effect of a multicomponent integrated care strategy on type 2 diabetes mellitus.

BACKGROUND: Although important advances in treatment strategies have been developed in type 2 diabetes mellitus (T2DM), large gaps exist in achieving glycemic control and preventing complications, particularly in low-and middle-income countries, which suggests a potential effect of social determinants of health (SDH, i.e., education level and socioeconomic status). However, few studies have determined the role of SDH and other determinants of health (ODH, i.e., diabetes knowledge and self-care scores) in achieving T2DM goals during effective multidisciplinary interventions. We aimed to examine a multicomponent integrated care (MIC) program on diabetes care goals and determine the effect of SDH and ODH on T2DM patients. METHODS: A before-and-after design (a pretest, a 5-month intervention, and a follow-up) was used in a T2DM population from Mexico City. The SDH included education level and socioeconomic status; the ODH included diabetes knowledge, self-care scores, and deltas (i.e., differences between baseline and follow-up scores). The triple-target goal (glycated hemoglobin, blood pressure, and LDL-cholesterol) was established as a measurement of T2DM goals. RESULTS: The DIABEMPIC (DIABetes EMPowerment and Improvement of Care) intervention (n = 498) reduced the glycated hemoglobin levels (mean reduction 2.65%, standard deviation [SD]: 2.02%) and cardiometabolic parameters; it also improved health-related quality of life. From 1.81% at baseline, 25.9% of participants (p-value< 0.001) achieved the triple-target goal. We found a significant association between education level (p-value = 0.010), diabetes knowledge at baseline (p-value = 0.004), and self-care scores at baseline (p-value = 0.033) in the delta (change between baseline and follow-up assessments) of HbA1c levels. Improvements (increase) in diabetes knowledge (p-value = 0.006) and self-care scores (p-value = 0.002) were also associated with greater reductions in HbA1c. CONCLUSIONS: MIC strategies in urban primary care settings contribute to control of T2DM. SDH, such as education level, and ODH (diabetes knowledge and self-care scores at baseline) play a key role in improving glycemic control in these settings.

Correlates of autonomic nervous system function in a general population with special reference to HbA1c: The Nagahama study.

AIMS: As the glucose tolerance of patients with diabetes worsens, autonomic nervous system (ANS) function decreases. Only a few studies, using plasma glucose, have reported on this relationship in large general populations that include people with wide range of glycemia. This study aimed to examine correlates of ANS function with special reference to HbA1c which is more stable than plasma glucose among community residents. METHODS: Spectral analysis was performed to assess heart rate variability (HRV) using 1-minute electrocardiogram RR interval data recordings from 7690 residents aged 35-79 years in Nagahama City, Japan. HRV parameters were log-transformed. Multiple regression analysis was performed using potential correlates. RESULTS: lnLF decreased with age (regression coefficient, -0.025; P < 0.001), BMI (-0.010; P = 0.035), and HbA1c (-0.068; P = 0.036). lnHF decreased with age (-0.029; P < 0.001), BMI (-0.032; P < 0.001), and HbA1c (-0.173; P < 0.001). lnLF/HF increased with age (0.003; P = 0.002), BMI (0.023; P < 0.001), and HbA1c (0.105; P < 0.001). Women showed lower lnLF and lnLF/HF than men. Sleep quality assessed by the Pittsburgh Sleep Quality Index, smoking and drinking had almost no relation. CONCLUSIONS: Although the associations were weak, age, BMI and HbA1c were inversely correlated with parasympathetic activity, while positively correlated with sympathetic activity among general residents.

HbA1c: The Glucose Management Indicator, Time in Range, and Standardization of Continuous Glucose Monitoring Reports in Clinical Practice.

Continuous glucose monitoring (CGM) use is growing rapidly among people with diabetes and beginning to be standard of care for managing glucose levels in insulin therapy. With this increased use, there is a need to standardize CGM data. CGM standardization has been set forth by expert panels. The Glucose Management Indicator is a concept using the CGM-derived mean glucose to provide a value that can be understood similarly to hemoglobin A1c. The times an individual spends in various glucose ranges is emerging as an important set of metrics. Metrics derived from patient CGM data are changing the way diabetes is managed.

Respective Contributions of Glycemic Variability and Mean Daily Glucose as Predictors of Hypoglycemia in Type 1 Diabetes: Are They Equivalent?

OBJECTIVE: To evaluate the respective contributions of short-term glycemic variability and mean daily glucose (MDG) concentration to the risk of hypoglycemia in type 1 diabetes. RESEARCH DESIGN AND METHODS: People with type 1 diabetes (n = 100) investigated at the University Hospital of Montpellier (France) underwent continuous glucose monitoring (CGM) on two consecutive days, providing a total of 200 24-h glycemic profiles. The following parameters were computed: MDG concentration, within-day glycemic variability (coefficient of variation for glucose [%CV]), and risk of hypoglycemia (presented as the percentage of time spent below three glycemic thresholds: 3.9, 3.45, and 3.0 mmol/L). RESULTS: MDG was significantly higher, and %CV significantly lower (both P < 0.001), when comparing the 24-h glycemic profiles according to whether no time or a certain duration of time was spent below the thresholds. Univariate regression analyses showed that MDG and %CV were the two explanatory variables that entered the model with the outcome variable (time spent below the thresholds). The classification and regression tree procedure indicated that the predominant predictor for hypoglycemia was %CV when the threshold was 3.0 mmol/L. In people with mean glucose ≤7.8 mmol/L, the time spent below 3.0 mmol/L was shortest (P < 0.001) when %CV was below 34%. CONCLUSIONS: In type 1 diabetes, short-term glycemic variability relative to mean glucose (i.e., %CV) explains more hypoglycemia than does mean glucose alone when the glucose threshold is 3.0 mmol/L. Minimizing the risk of hypoglycemia requires a %CV below 34%.

Greater social jetlag associates with higher HbA1c in adults with type 2 diabetes: a cross sectional study.

BACKGROUND/OBJECTIVES: Later chronotype has been associated with poorer glycemic control in type 2 diabetes. It is unclear whether this is a direct relationship, or if personality factors or social jetlag ([SJL], ie, chronic circadian misalignment reflecting the discrepancy between the entrained phase of the circadian clock and socially-determined behavioural cycles) play a role. This study aimed to determine the relationships among chronotype, SJL, personality factors and glycemic control in type 2 diabetes, independently of sleep disturbances and daily caloric distribution. METHODS: In sum, 252 type 2 diabetes patients attending an annual review outpatients' clinic completed questionnaires, including the Munich Chronotype Questionnaire to assess chronotype and SJL, the Pittsburgh Sleep Quality index (PSQI), the Big Five Personality Inventory and the Center for Epidemiologic Studies Depression Scale. Chart review provided information on diabetes duration, Hemoglobin A1c (HbA1c), body mass index (BMI) and other clinical variables. Caloric intake was assessed via 24-h dietary recall. RESULTS: Hierarchical linear regression revealed that SJL, but not chronotype or personality factors, was a significant predictor of HbA1c levels (ß = 0.16, p < 0.05). There was a significant relationship between later chronotype and HbA1c levels, but only in patients who had more than 90 min SJL (r = 0.51, p = 0.002). Younger age was associated with a higher HbA1c (r = -0.23, p < 0.001), and this effect was partially mediated through SJL (Pm = 0.22). CONCLUSIONS: We identify SJL as a novel factor that may impact on glycemic control in type 2 diabetes. Further study is needed to determine whether interventions aimed at reducing SJL may lead to improvements in glycemic control.

Severity Indices for Obstructive Sleep Apnea Syndrome Reflecting Glycemic Control or Insulin Resistance.

Objective We aimed to identify obstructive sleep apnea syndrome (OSAS) severity indices reflecting the anthropometric and metabolic characteristics of patients with OSAS. Methods A total of 76 patients with OSAS underwent nasal continuous positive airway pressure (nCPAP). We also investigated the effects of nCPAP on OSAS-associated muscle sympathetic nerve activity (MSNA), risk for cardiovascular diseases, and insulin secretion and sensitivity. Results Among the OSAS severity indices, HbA1c was significantly correlated with the apnea-hypopnea index, whereas HOMA-beta, HOMA-IR, and hepatic insulin resistance were significantly correlated with % SpO2<90%, independent of age, gender, and body mass index (BMI). Burst incidence of MSNA was independently associated with only a 3% oxygen desaturation index. nCPAP therapy significantly lowered the OSAS severity indices and reduced the burst rate, burst incidence, and heart rate. Conclusion The OSAS severity indices reflecting apnea/hypopnea are associated with glycemic control, whereas those reflecting hypoxia, particularly % SpO2<90%, are associated with hepatic insulin resistance independent of obesity. Both types of OSAS severity indices, especially the 3% oxygen desaturation index (reflecting intermittent hypoxia), are independently associated with MSNA, which is dramatically lowered with the use of nCPAP therapy. These findings may aid in interpreting each OSAS severity index and understanding the pathophysiology of OSAS in clinical settings.

HbA1c and retinal sensitivity in diabetics using microperimetry.

PURPOSE: The purpose of this study was to determine the relationship between HbA1c values and retinal sensitivity at central 10° using the MP-1 microperimeter. METHODS: A prospective study was carried out on 32 healthy subjects (control group) and 60 diabetic patients. The diabetic patients were divided into 2 groups. Group 1 comprised of 30 patients without diabetic retinopathy (DR) and group 2 had 30 patients with mild non-proliferative DR. A full-threshold microperimetry of the central 10° of retina (the macula) was performed on all subjects, utilizing 32 points with the MP-1. The relationship between light sensitivity and HbA1c value was calculated using linear regression analysis. RESULTS: Total mean sensitivity at 10° for group 1 without DR, group 2 with mild NPDR and control group were 18.67±0.83, 17.98±1.42 and 19.45±0.34 (dB), respectively. There was a significant difference in total mean retinal sensitivity at 10° between the 3 groups (F(2,89)=18.14, p=0.001). A simple linear regression was calculated to predict HbA1c based on retinal sensitivity. A significant regression equation was found (F(1,90)=107.61, p=0.0001, with an R2 of 0.545). The linear regression analysis revealed that there was a 0.64dB decline in mean retinal sensitivity within the central 10° diameter with an increase of 1mmHg of HbA1c. CONCLUSION: Retinal sensitivity at the central 10° of the macula is affected by changes in HbA1c values.

The Impact of Glycated Hemoglobin (HbA1c) on Cardiovascular Disease Risk: A Mendelian Randomization Study Using UK Biobank.

OBJECTIVE: Glycated hemoglobin (HbA1c) is positively associated with cardiovascular disease (CVD), although evidence is primarily observational. Mendelian randomization studies have only examined its relation with subtypes of CVD. We examined the relation of HbA1c with CVD and its subtypes in the UK Biobank using Mendelian randomization. RESEARCH DESIGN AND METHODS: We used 38 genetic variants strongly and independently related to HbA1c (n = 123,665) applied to the UK Biobank (n = 392,038). We used inverse variance weighting (IVW) to obtain the associations of HbA1c with CVD, coronary artery disease (CAD), and stroke (overall and stroke subtypes). Sensitivity analyses included Mendelian randomization (MR)-Egger, a weighted median, and exclusion of potentially invalid single nucleotide polymorphisms (SNPs). We also applied the same genetic instruments to CARDIoGRAMplusC4D (Coronary ARtery DIsease Genome wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics) 1000 Genomes-based genome-wide association study (n = 184,305) as a validation for CAD. RESULTS: In the UK Biobank, HbA1c was not associated with CVD using IVW (odds ratio [OR] 1.11 per %, 95% CI 0.83-1.48). However, HbA1c was associated with increased CAD risk (OR 1.50 per %, 95% CI 1.08-2.11) with directionally consistent results from MR-Egger and weighted median. The positive association with CAD was more pronounced when we excluded potentially invalid SNPs (OR 2.24 per %, 95% CI 1.55-3.25). The positive association was replicated in CARDIoGRAM (OR 1.52 per %, 95% CI 1.03-2.26). The association of HbA1c with stroke and its subtypes was less clear given the low number of cases. CONCLUSIONS: HbA1c likely causes CAD. The underlying mechanisms remain to be elucidated.

Glycemic control is an important modifiable risk factor for uveitis in patients with diabetes: A retrospective cohort study establishing clinical risk and ophthalmic disease burden.

AIM: To characterize the risk uveitis, scleritis or episcleritis in relation to diabetes, glycaemic control, and co-existence of retinopathy. METHODS: Using the Royal College of General Practitioners Research and Surveillance Centre database, we established the prevalence of acute uveitis and scleritis or episcleritis over a six-year period among populations without(n = 889,856) and with diabetes(n = 48,584). We evaluated the impact of glycaemic control on disease risk. Regression modeling was used to identify associations, adjusting for clinical and demographic confounders. RESULTS: Incidence of acute uveitis was higher among patients with diabetes; Type 1 OR:2.01 (95% CI 1.18-3.41; p = 0.009), and Type 2 OR:1.23 (1.05-1.44; p = 0.01). Glycaemic control was established as an important effect modifier for uveitis risk, whereby those with poorer control suffered higher disease burden. Results confirmed a dose-response relationship such that very poor glycaemic control OR:4.72 (2.58-8.65; p < 0.001), poor control OR:1.57 (1.05-2.33; p = 0.03) and moderate control OR:1.20 (0.86-1.68; p = 0.29) were predictive of uveitis. Similar results were observed when evaluating retinopathy staging: proliferative retinopathy OR:2.42 (1.25-4.69; p = 0.01). These results were not maintained for scleritis or episcleritis. CONCLUSION: Acute uveitis is more common in patients with diabetes; at highest risk are those with type 1 disease with poor glycaemic control. Glycaemic improvements may prevent recurrence.

Effect of A1C and Glucose on Postoperative Mortality in Noncardiac and Cardiac Surgeries.

OBJECTIVE: Hemoglobin A1c (A1C) is used in assessment of patients for elective surgeries because hyperglycemia increases risk of adverse events. However, the interplay of A1C, glucose, and surgical outcomes remains unclarified, with often only two of these three factors considered simultaneously. We assessed the association of preoperative A1C with perioperative glucose control and their relationship with 30-day mortality. RESEARCH DESIGN AND METHODS: Retrospective analysis on 431,480 surgeries within the Duke University Health System determined the association of preoperative A1C with perioperative glucose (averaged over the first 3 postoperative days) and 30-day mortality among 6,684 noncardiac and 6,393 cardiac surgeries with A1C and glucose measurements. A generalized additive model was used, enabling nonlinear relationships. RESULTS: A1C and glucose were strongly associated. Glucose and mortality were positively associated for noncardiac cases: 1.0% mortality at mean glucose of 100 mg/dL and 1.6% at mean glucose of 200 mg/dL. For cardiac procedures, there was a striking U-shaped relationship between glucose and mortality, ranging from 4.5% at 100 mg/dL to a nadir of 1.5% at 140 mg/dL and rising again to 6.9% at 200 mg/dL. A1C and 30-day mortality were not associated when controlling for glucose in noncardiac or cardiac procedures. CONCLUSIONS: Although A1C is positively associated with perioperative glucose, it is not associated with increased 30-day mortality after controlling for glucose. Perioperative glucose predicts 30-day mortality, linearly in noncardiac and nonlinearly in cardiac procedures. This confirms that perioperative glucose control is related to surgical outcomes but that A1C, reflecting antecedent glycemia, is a less useful predictor.

Hemoglobin A1c as a Predictor of Postoperative Infection Following Elective Forefoot Surgery.

BACKGROUND: There remains little evidence to support a perioperative hemoglobin A1c (HbA1c) level that could serve as a threshold for a significantly increased risk of postoperative surgical site infection (SSI) following forefoot surgery. METHODS: A national database was queried for patients who underwent elective forefoot surgery with diabetes. Patients with a perioperative HbA1c level within 3 months of surgery were identified and stratified based on HbA1c level in 0.5 mg/dL increments. The incidence of SSI was determined by either a diagnosis or procedure for SSI within 1 year and a receiver operating characteristic (ROC) curve and area under the curve (AUC) analysis was performed to determine an optimal threshold value of HbA1c. RESULTS: A total of 4630 patients who underwent forefoot surgery with diabetes with a perioperative HbA1c were included. The rate of SSI ranged from 2.3% to 11.8%. The inflection point of the ROC curve corresponded to an HbA1c level above 7.5 mg/dL ( P < .0001; 95% confidence interval [CI] = 0.58-0.67; AUC = 0.631; specificity = 75%; sensitivity = 46%). After multivariate analysis, patients with an HbA1c level of 7.5 mg/dL or greater had a significantly higher risk for postoperative wound infection compared to patients below this threshold (OR = 1.92; 95% CI = 1.5-2.4; P < .0001). CONCLUSIONS: The risk of postoperative SSI following forefoot surgery increased as the perioperative HbA1c increased. ROC analysis determined that a perioperative HbA1c above 7.5 mg/dL could serve as a threshold for a significantly increased risk of postoperative SSI following forefoot surgery. LEVEL OF EVIDENCE: Level III, comparative series.

Evaluation of glycated albumin (GA) and GA/HbA1c ratio for diagnosis of diabetes and glycemic control: A comprehensive review.

Diabetes Mellitus (DM) is a group of metabolic diseases characterized by chronic high blood glucose concentrations (hyperglycemia). When it is left untreated or improperly managed, it can lead to acute complications including diabetic ketoacidosis and non-ketotic hyperosmolar coma. In addition, possible long-term complications include impotence, nerve damage, stroke, chronic kidney failure, cardiovascular disease, foot ulcers, and retinopathy. Historically, universal methods to measure glycemic control for the diagnosis of diabetes included fasting plasma glucose level (FPG), 2-h plasma glucose (2HP), and random plasma glucose. However, these measurements did not provide information about glycemic control over a long period of time. To address this problem, there has been a switch in the past decade to diagnosing diabetes and its severity through measurement of blood glycated proteins such as Hemoglobin A1c (HbA1c) and glycated albumin (GA). Diagnosis and evaluation of diabetes using glycated proteins has many advantages including high accuracy of glycemic control over a period of time. Currently, common laboratory methods used to measure glycated proteins are high-performance liquid chromatography (HPLC), immunoassay, and electrophoresis. HbA1c is one of the most important diagnostic factors for diabetes. However, some reports indicate that HbA1c is not a suitable marker to determine glycemic control in all diabetic patients. GA, which is not influenced by changes in the lifespan of erythrocytes, is thought to be a good alternative indicator of glycemic control in diabetic patients. Here, we review the literature that has investigated the suitability of HbA1c, GA and GA:HbA1c as indicators of long-term glycemic control and demonstrate the importance of selecting the appropriate glycated protein based on the patient's health status in order to provide useful and modern point-of-care monitoring and treatment.

[Nutrition management in obese patients with type 2 diabetes mellitus after laparoscopic sleeve gastrectomy].

OBJECTIVE: To explore the value of nutrition management in obese patients with type 2 diabetes mellitus(T2DM) after laparoscopic sleeve gastrectomy(LSG). METHODS: Clinical data of 22 obese T2DM patients undergoing LSG from March 2013 to July 2015 in Fudan University Pudong Medical Center were collected. All the patients strictly followed the specialized instruction by nutritionists: diabetic and low calorie diet 3347.2 to 5020.8 kJ (800 to 1200 kcal) per day before the operation; low calorie liquid diet 2510.4 kJ(600 kcal) per day before operation for promoting gastric emptying; fasting diet before postoperative ventilation; clear liquid diet 1673.6 to 2510.4 kJ (400 to 600 kcal) per day after postoperative ventilation (liquid intake >2000 ml); low fat liquid diet 2928.8 to 3765.6 kJ (700 to 900 kcal) per day (protein 60 g per day at least, 2000 ml liquid) 2 weeks after the operation; semi-liquid diet 1 month after operation and gradually normal diet. All the 22 patients were followed up at 1 week, 1, 3, 6 months after operation on time. Changes of body weight, waist circumference, hip circumference, body mass index(BMI), blood glucose indexes induding fasting blood glucose(FBG), 2-hour postparandial blood glucose(PBG), fasting C-peptide, 2-hour postprandial C-peptide, fasting serum inculin(FINS), 2-hour postprandial inculin(INS), HbAlc, blood pressure and blood lipid indexes were observed and analyzed before and 1 week, 1, 3, 6 months after operation. RESULTS: The average age of 22 patients (10 men and 12 women) was 38.6 years (18 to 66 years). The duration of diabetes varied from 1 month to 15 years. Comorbidity included 12 patients of high blood pressure, 14 of fatty liver, 1 of coronary heart disease, 1 of gout, 1 of chronic thyroiditis and 1 of menstrual disorder. LSG was performed successfully in all the patients and no severe complications and transference to laparotomy occurred. As compared to pre-operation, at 6 months after operation, the average body weight decreased from (103.9±20.2) kg to (80.9±12.6) kg (t=6.294, P=0.000), waist circumference from (118.6±13.8) cm to (96.4±8.0) cm (t=6.331, P=0.000), hip circumference from (116.9±12.6) cm to (104.0±7.7) cm (t=3.854, P=0.000), BMI from (36.2±5.9) kg/m2 to (27.9±3.5) kg/m2 (t=5.630, P=0.000), showing a decreasing trend over time. There was no underweight patient after 6 months follow-up. As compared to pre-operation, at 6 months after operation, the average FBG reduced from (7.4±1.4) mmol/L to (6.0±0.9) mmol/L (t=3.172, P=0.003), 2 h PBG from (14.1±4.9) mmol/L to (7.5±2.2) mmol/L (t=7.026, P=0.000), FINS from (160.0±71.9) mIU/L to (43.8±20.8) mIU/L (t=7.259, P=0.000), 2-hour postprandial INS from (437.6±261.4) mIU/L to (140.5±104.6) mIU/L (t=5.858, P=0.000), fasting C-peptide from (1.1±0.6) µg/L to (0.7±0.3) µg/L (t=3.560, P=0.000), 2-hour postprandial C-peptide from (2.5±0.9) µg/L to (1.5±0.7) µg/L (t=3.865, P=0.000), HbAlc from (8.0±1.6)% to (5.9±0.6)% (t=5.953, P=0.000), showing a decreasing trend over time except FBG, 2h postprandial C-peptide and HbAlc(all P<0.05). FBG and 2-hour PBG of 16 patients returned to normal 3 months after the operation. Blood pressure and trigly ceride decreased obviously 6 months after operation compared to pre-operation with significant difference(P<0.05). At 6 months after operation, blood pressure of 8 comorbidity patients with high blood pressure became normal (8/12, 66.7%) and of 4 patients improved(4/12, 33.3%); B ultrasound examination revealed normal in 11 comorbidity patients with fatty liver(11/14,78.6%) and improvement in 3 patients (3/14,15.4%). Blood uric acid of the gout patient and the menstruation of the menstrual disorder patient returned to normal 3 months and 1 month after the operation respectively. CONCLUSION: As for obese patients with T2DM undergoing LSG, reasonable nutrition management is helpful to decrease body weight, and to obtain an ideal improvement of blood glucose and blood lipid levels.

[Effect of laparoscopic sleeve gastrectomy on sex hormone in male severe obesity].

OBJECTIVE: To investigate the effect of laparoscopic sleeve gastrectomy(LSG) on sex hormone in male patients with severe obesity. METHODS: Retrospective analysis was performed in 31 male patient with severe obese [body mass index(BMI) ≥28 kg/m2, obesity group] who underwent LSG in Shanghai Tenth People's Hospital of Tongji University from December 2012 to May 2016. The anthropometric parameters(weight, BMI, waist circumference, hip circumference, waist-hip ratio, body fat percentage), glucose metabolic indices [fasting plasma glucose(FPG), fasting insulin (FINS), glycosylated hemoglobin (HbA1c), homeostasis model assessment-insulin resistance index(HOMA-IR)], and sex hormone parameters [estradiol(E2), total testosterone (TT), follicle-stimulating hormone (FSH) and luteinizing hormone (LH)] were collected preoperatively and 1, 3, 6 months postoperatively. In addition, 31 healthy male volunteers with normal BMI were consecutively recruited in this study as control group. The above-mentioned parameters were also determined in control group. Changes of these variables before and after surgery were analyzed. Pearson method was used to analyze the correlation of TT with anthropometric parameters and glucose metabolic indices before and after surgery. RESULTS: The average age of patients in obesity and control group was (32.9±9.7) (18 to 56) years and (30.7±8.9) (18 to 49) years. Compared to the control group, obesity group had significantly higher anthropometric parameters and glucose metabolic indices before surgery (all P<0.05). In obesity group, the anthropometric and glucose metabolic indices significantly decreased at 1 to 6 months after surgery compared to those before surgery (all P<0.05). At 1 month after surgery, the anthropometric parameters and glucose metabolic indices in obesity group were significantly higher than those in control group (all P<0.05). At 3, and 6 months after surgery, there were no significant differences in glucose metabolic indices between obesity and control group (all P>0.05), while the anthropometric parameters in obesity group were still significantly higher than those in control group(all P<0.05). The sex hormone parameters in control and obesity group before surgery were as follows: E2: (100.2±23.5) pmol/L and (129.2±81.9) pmol/L; TT: (18.0±4.9) nmol/L and (8.4±4.5) nmol/L; FSH: (4.5±3.1) IU/L and (4.3±2.5) IU/L; LH: (4.4±1.7) IU/L and (5.3±2.6) IU/L. Compared to control group, the TT level of obese patients before surgery significantly decreased(P=0.000), while no significant differences were observed in the levels of E2, FSH, and LH(all P>0.05). The TT levels were significantly increased at 1, 3, 6 months after surgery[(13.1±7.0), (13.6±5.7), (21.0±19.3) nmol/L, respectively, all P<0.05] and the E2 level was significantly decreased at 6 months after surgery [(91.4±44.9) pmol/L, P<0.05], while no significant differences were observed at 1 and 3 months after surgery (all P>0.05). Furthermore, the FSH and LH levels did not exhibit significant change at 1, 3, and 6 months after surgery compared to those before surgery (all P>0.05). At 1 month after surgery, no significant correlations were examined in the change value of TT levels (▹TT) with the changes of BMI(▹BMI), FPG(▹FPG), FINS(▹FINS), HOMA-IR(▹HOMA-IR), and E2(▹E2) (all P>0.05). At 3 months after surgery, ▹TT was negatively correlated with ▹BMI (r=-0.441, P=0.015), ▹FINS (r=-0.375, P=0.041), and ▹HOMA-IR(r=-0.397, P=0.030), but not correlated with ▹FPG and ▹E2 (all P>0.05). At 6 months after surgery, ▹TT was negatively correlated with ▹BMI(r=-0.510, P=0.018) and ▹HOMA-IR (r=-0.435, P=0.049), but not correlated with ▹FPG, ▹FINS and ▹E2 (all P>0.05). CONCLUSIONS: Male severe obese patients are accompanied with abnormal sex hormone levels. LSG has a significant effect on weight loss and blood glucose improvement, and may ameliorate the sex hormone unbalance by improving the insulin resistance in men with severe obesity.