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We aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.

Background: Irregular menstrual cycles are a risk factor for developing type 2 diabetes mellitus (DM) in women. Objective: This study aimed to evaluate irregular menstrual cycles as a risk factor of type 2 DM in women of childbearing age with body fat percentage, waist-hip ratio, diet quality, and physical activity as confounding factors. Methods: This was a case-control study. Its subjects were subjects with type 2 diabetes mellitus (n=31) and subjects without any clinical evidence of abnormal glucose regulation (n=31) who attended Puskesmas (Community Health Centre) Rowosari, Tembalang, Semarang with over 30 years of age. Based on their menstrual cycles, they were divided into two groups: women with irregular menstrual cycles, and those with regular menstrual cycles. Cochran Mantel-Haenszel test was used to control their confounding factors. Results: There was an association between irregular menstrual cycles and type 2 DM (p

Objectives Prediabetes is prevalent in people living with HIV (PLWH). Insufficient and irregular sleep are linked to abnormal glucose metabolism. This study aimed to investigate the differences in sleep characteristics between PLWH with and without prediabetes, determine the acceptability/feasibility and effects of a pilot six-month intensive lifestyle intervention (ILI) program on glucose metabolism in those with prediabetes, and determine how sleep modulates these effects. Results Thirty-nine PLWH (20 normoglycemia and 19 prediabetes) participated. There were no differences in sleep characteristics between individuals with normoglycemia and prediabetes. Next, thirteen individuals with prediabetes completed a six-month ILI program. The ILI program resulted in significant body weight reduction at 6 months (63.5 ± 13.9 to 61.9 ± 14.0 kg, p = 0.012), which was maintained at 12 months (p p = 0.014). An increase in sleep variability was significantly associated with an increase in 2-h plasma glucose, independent of changes in BMI (b = 0.603), and physical activity (b = 0.774). This pilot study suggested that ILI in PLWH with prediabetes is feasible and effective in improving metabolic control, with its effects possibly modulated by sleep variability. These findings should be confirmed in a larger study to reduce diabetes risk in this population. Trail registration: ClinicalTrial.gov, NCT03545217 (date of registration: May 22, 2018)

Although diagnosing the syndrome of dementia is largely a clinical endeavor, neuroimaging plays an increasingly important role in accurately determining the underlying etiology, which extends beyond its traditional role in excluding other causes of altered cognition. New neuroimaging methods not only facilitate the diagnosis of the most common neurodegenerative conditions (particularly Alzheimer Disease [AD]) after symptom onset, but also show diagnostic promise even in the very early or presymptomatic phases of disease. Positron emission tomography (PET) is increasingly recognized as a key clinical tool for differentiating normal age-related changes in brain metabolism (using 18F-fluorodeoxyglucose [FDG]) from those seen in the earliest stages of specific forms of dementia. However, FDG PET only demonstrates nonspecific changes in altered parenchymal glucose uptake and not the specific etiologic proteinopathy causing the abnormal glucose uptake. A growing class of radiotracers targeting specific protein aggregates for amyloid-β (Aβ) and tau are changing the way AD is diagnosed, as these radiotracers directly label the underlying disease pathology. As these pathology-specific radiotracers are currently making their way to the clinic, it is important for the clinical neuroradiologist to understand the underlying patterns of Aβ and tau deposition in the context of AD (across its clinical continuum) and in other causes of dementia, as well as understand the implications of current research.

Gestational diabetes mellitus (GDM) refers to different degrees of abnormal glucose metabolism during pregnancy, where blood glucose levels do not reach the level of overt diabetes, accounting for 80-90% of pregnancy with hyperglycemia. Hyperglycemia affects the pregnancy process, leading to a series of adverse maternal outcomes that have a profound impact on the future of the offspring. The establishing of an appropriate GDM model will provide theoretical basis for study GDM pathogenesis involves, the choice of resonable drugs and the observation the disease trends and outcomes. At present, there are many methods for establishing experimental GDM animal models and animal choices. This paper examines the different GDM models and their induction methods.

Aims/Introduction A flash glucose monitoring (FGM) system has become available. To clarify the relationship between FGM and self‐monitoring blood glucose (SMBG) values, we compared the two values after simultaneous measurement in Japanese patients with type 1 diabetes, under daily life settings. Materials and Methods A total of 20 outpatients with type 1 diabetes were analyzed. When FGM and SMBG were carried out simultaneously (within ±3 min), the values were adopted and each FGM value was matched and compared with the corresponding SMBG value. In addition, we analyzed other cases of simultaneity defined as “within ±2 min,” “within ±1 min” and “at the exact same time.” Results The percentage of SMBG and FGM values in the clinically acceptable zone A + B in Clarke and consensus error grid analyses were 97.9 and 99.2%, respectively. Deming regression (x‐axis: FGM values, y‐axis: SMBG values) determined a slope of 0.9128 (95% confidence interval 0.9008–0.9247) and an intercept of +15.94 mg/dL (95% confidence interval 14.05–17.84). FGM values were lower than SMBG values in the lower glucose range, and higher in the higher glucose range. The shorter the time lag between measurements, the higher the rate of concordance between FGM and SMBG values. Conclusions The results of this study provided evidence on the reliability of FGM in Japanese patients with type 1 diabetes in home conditions. Based on the results, if an abnormal glucose value is detected by FGM, SBMG should then be used to confirm the result., Flash glucose monitoring values were lower than self‐monitoring blood glucose values in the lower glucose range, and higher in the higher glucose range. The shorter the time lag between measurements, the higher the rate of concordance between flash glucose monitoring and self‐monitoring blood glucose values.

To understand mental health clinics' chronic disease screening and prevention activities, we surveyed mental health clinics in New York State regarding 16 preventive services. Both numerical and qualitative data were collected. Responding clinics (123, 24.7%) were most likely to report having up-to-date screening/management of tobacco use (114, 92.7%) and were most likely to refer out for infectious disease and cancer screening (57.7%-62.6%). Compared to private/non-profit clinics, county- and state-operated clinics were more likely to refer out for infectious disease screening and to ensure up-to-date: lipid disorder screening, abnormal glucose screening, HIV screening, and cancer screenings. Clinics reported a need for: (1) hiring more (dedicated) medical staff; (2) providing staff trainings; (3) educating patients; and (4) integrating with patients' primary care providers. Implementing proven approaches-and developing new ones-for enhanced chronic disease prevention activities through improvements in policy, staffing, and reimbursement is warranted in mental health clinics.

Predicting blood glucose concentration facilitates timely preventive measures against health risks induced by abnormal glucose events. Advances in IoT devices, such as continuous blood glucose monitors (CGMs) have made it convenient for measurements of blood glucose in real time. However, accurate and personalized blood glucose concentration prediction is still challenging. Previous inference models yield low-inference accuracy due to the ineffective feature extraction and the limited, imbalanced personal training data. The underlying causal correlations among the blood glucose series are scarcely captured by these models. In this article, we propose CausalBG, a causal recurrent neural network (CausalRNN) deployed on an IoT platform with smartphones and CGM for the accurate and efficient individual blood glucose concentration prediction. CausalBG automatically captures the underlying causal relationships embedded in the blood glucose features through CausalRNN, and efficiently shares the limited personal data among users for the sufficient training via the multitask framework. Evaluations and case studies on 112 users demonstrate that CausalBG significantly outperforms the conventional predictive models on the blood glucose dynamics inference.

In this paper, we study the problem of blood glucose forecasting and provide a deep personalized solution. Predicting blood glucose level in people with diabetes has significant value because health complications of abnormal glucose level are serious, sometimes even leading to death. Therefore, having a model that can accurately and quickly warn patients of potential problems is essential. To develop a better deep model for blood glucose forecasting, we analyze the data and detect important patterns. These observations helped us to propose a method that has several key advantages over existing methods: 1- it learns a personalized model for each patient as well as a global model; 2- it uses an attention mechanism and extracted time features to better learn long-term dependencies in the data; 3- it introduces a new, robust training procedure for time series data. We empirically show the efficacy of our model on a real dataset., 8 pages, accepted to IJCNN 2021

Study question What is the role of androgen excess as a contributing factor to insulin resistance and abnormal glucose metabolism (AGM) in women? Summary answer There was a positive association between early adulthood hyperandrogenaemia with AGM. Serum SHBG levels could help identifying women at risk for disordered glucose metabolism. What is known already It is commonly recognised that insulin resistance induces compensatory hyperinsulinaemia which promotes ovarian androgen secretion. Studies in rodents have also suggested that testosterone causes prolonged activation of androgen receptor in pancreatic islet β-cells, inducing insulin hypersecretion and eventually secondary β-cell failure, thus predisposing to type 2 diabetes (T2D). However, the exact physiology behind the association between androgens, insulin resistance and T2D in women is not well understood. Many previously published studies are limited by cross-sectional study design, unrepresentative clinic populations, as well as variying steroid hormone measurement methods and definitions of androgen excess. Study design, size, duration A prospective longitudinal population-based cohort (n = 5,889) to investigate whether serum levels of testosterone (T, measured using LC-MS/MS) and free androgen index (FAI) at ages 31 and 46 associated with AGM at age 46 years. After exclusion of pregnant women, users of hormonal intrauterine device, contraceptive pills, hormone therapy, minipills and statins, there were 4,421 women at age 31 and 4,457 women at age 46. At age 46 a two-hour OGTT was performed in 2,780 women. Participants/materials, setting, methods Serum fasting glucose and insulin, insulin resistance (HOMA–IR) and pancreatic β-cell function (HOMA–B) assessments were performed at ages 31 and 46. Elevated T levels (age 31: >2.3nmol/l; age 46: >1.7nmol/l) were defined according to the 97.5% percentile. T2D diagnoses were gathered from postal questionnaire at age 46, and verified and completed from the hospital discharge and national medication reimbursement registers. Impaired fasting glucose, impaired glucose tolerance or T2D were categorised as AGM. Main results and the role of chance At age 31, hyperandrogenic (HA) women displayed increased insulin resistance estimated by HOMA-IR (1.35±0.96 vs. 1.03±0.44, P = 0.05), increased insulin secretion estimated by HOMA-B (115.05±34.67 vs. 99.25±25.47, P = 0.006), and higher fasting insulin level (10.48±7.54 mU/l vs. 7.93±3.42 mU/l, P = 0.034) compared with normoandrogenic (NA) women, after BMI adjustment. At age 46, HA women had comparable HOMA-B levels (98.04±60.03 vs. 96.27±65.89, P = 0.93) but their fasting glucose (5.57±1.06 mmol/l vs. 5.37±0.77 mmol/, P = 0.07) and glycated haemoglobin levels (37.47±7.83 mmol/mol vs. 36.18±4.99 mmol/mol, P = 0.07) tended to be higher. Women in the highest T quartile (Q4 odds ratio [OR]=1.77, 95%CI: [1.14–2.76]) and in the two highest FAI quartiles at age 31 (Q4: OR = 3.61 [2.16–6.03] and Q3: OR = 2.11 [1.24–3.59]) had increased risk for AGM at age 46, independently of BMI, when compared with women in the lowest quartile. Similarly, women in the two highest FAI quartiles at age 46 had increased risk for AGM (Q4: OR = 2.91 [1.82–4.64]) when compared with women in the lowest quartile, after BMI adjustment. The three highest sex hormone-binding globulin (SHBG) quartiles inversely associated with AGM, both at ages 31 and 46, independently of BMI (at age 31: Q4: OR = 0.38 [0.24–0.62], at age 46: Q4: OR = 0.27 [0.17–0.44]). Limitations, reasons for caution We used only serum T as a marker of HA, even though other androgens, such as androstenedione and adrenal androgens have a place in the evaluation of androgenicity in women. Further studies of other large populations are needed to confirm our results. Wider implications of the findings This is the first longitudinal, general population based study to confirm a positive association between early adulthood hyperandrogenaemia with AGM in middle adulthood independently of confounding factors. Our results further suggest that SHBG levels could help to identify women at risk for AGM. Trial registration number NA

This study aimed to compare the screening methods between point-of-care (POC) testing and hospital-based methods for potential type 2 DM and abnormal glucose regulation (AGR) in a dental setting. A total of 274 consecutive subjects who attended the Faculty of Dentistry, Mahidol University, Bangkok, Thailand, were selected. Demographic data were collected. HbA1c was assessed using a finger prick blood sample and analyzed with a point-of-care (POC) testing machine (DCA Vantage®). Hyperglycemia was defined as POC HbA1c ≥ 5.7%. Random blood glucose (RBG) was also evaluated using a glucometer (OneTouch® SelectSimple™) and hyperglycemia was defined as RBG ≥ 110 mg/dl or ≥140 mg/dl. The subjects were then sent for laboratory measurements for fasting plasma glucose (FPG) and HbA1c. The prevalence of AGR (defined as FPG ≥ 100 mg/dl or laboratory HbA1c ≥ 5.7%) and potential type 2 DM (defined as FPG ≥ 126 mg/dl or laboratory HbA1c ≥ 6.5%) among subjects was calculated and receiver operating characteristic (ROC) analysis was performed using FPG and HbA1c for the diagnosis of AGR and potential type 2 DM. The prevalence of hyperglycemia defined as POC HbA1c ≥ 5.7%, RBG ≥ 110 mg/dl, and RBG ≥ 140 mg/dl was 49%, 63%, and 32%, respectively. After the evaluation using laboratory measurements, the prevalence of AGR was 25% and 17% using laboratory FPG and HbA1c criteria, respectively. Based on the ROC curves, the performances of POC HbA1c and RBG in predicting FPG-defined potential type 2 DM were high (AUC = 0.99, 95% CI 0.98–0.99 and AUC = 0.94, 95% CI 0.86–1.0, respectively) but lower in predicting AGR (AUC = 0.72, 95% CI 0.67–0.78 and AUC = 0.65, 95% CI 0.59–0.70, respectively). This study suggested that POC testing might be a potential tool for screening of subjects with potential type 2 DM in a dental setting.

A 4-12 week postpartum oral glucose tolerance test (GTT) is recommended for individuals with gestational diabetes mellitus (GDM) to identify those most likely to develop prediabetes and diabetes mellitus, but few people complete this testing. Thus we developed a clinical model at delivery to predict abnormal glucose metabolism at 1 year postpartum (HbA1c ≥ 5.7%) and compared it to the 4-12 week post-partum GTT in a prospectively recruited cohort of women with GDM who were followed for 1 year post-partum (n=203). Using multivariable Lasso regression, we investigated predictor variables available at or before the time of hospital discharge that had biologic plausibility for predicting subsequent abnormal glucose metabolism. We compared the receiver operating curve (AUC), sensitivity, specificity, positive and negative predictive values (PPV, NPV) between the Lasso multivariable model and the 4-12 week GTT to predict HbA1c ≥5.7% at 1 year postpartum. Nine variables were included in the Lasso model achieving an AUC and sensitivity that was better than the GTT at 4-12 weeks (Table). While additional work is needed to validate the model, it appears to better identify individuals at risk for abnormal glucose metabolism at 1 year postpartum than the 4-12 week postpartum GTT. Disclosure E. Werner: None. A. Espinosa dice: None. A. Bengtson: None. Funding American Diabetes Association (1-16-ICTS-118 to E.W.)

AIM The rise of diabetes mellitus (DM) and impaired fasting glucose (IFG) in children has become a worldwide challenge, but population-based survey targeted on pre-school children is lacking. The aim of the study was to determine the prevalence of DM and IFG in pre-school children and their association with obesity and susceptible behaviours. METHODS A population-based survey was conducted and 21,571 Chinese children aged 5-6 years were recruited from 66 kindergartens in Tianjin, China during the year of 2016-2018. Fasting glucose was measured for all participants. Children with fasting glucose over 7.0 mmol/L was defined as DM, and 5.6-6.9 mmol/L was defined as IFG. RESULTS The prevalence of DM and IFG in the current study among Chinese children aged 5-6 years old was 0.05% and 1.18%, respectively, with significant gender and regional disparities (p

The diagnosis of polycystic ovary syndrome (PCOS) and metabolic syndrome (MS) in adolescents is clinically challenging. It is on the rise as consistent with the increasing trends in obesity rates. This study aimed to investigate the prevalence of PCOS in adolescents by the National Institutes of Health (NIH) criteria and compare the prevalence of insulin resistance (IR) and metabolic syndrome (MS) between obese (OB) and non-obese (NOB) adolescents with PCOS. This was cross-sectional research with multi-stage cluster random sampling. Participants were 15-18-year-old girls from high schools in Semnan, Iran. The ones who had a history of menstrual dysfunction underwent clinical and hormonal tests. From among a total of 900 participants, 74 girls (8.2%) had a history of menstrual dysfunction. The prevalence of PCOS was 6.44% by NIH criteria. The prevalence of abnormal glucose metabolism, MS, and IR in girls with PCOS were 8(13.7%), 6(10.3%), 24(41.4%), respectively. The OB-PCOS group with a mean BMI of 28.21±1.26 kg/m2 had a significantly greater prevalence of MS, high BP, waist circumference ≥88 cm, and higher IR than NOB-PCOS cases with a mean BMI of 20.54±2.97 kg/m2. Abnormal glucose metabolism was prevalent in adolescents with PCOS and occurred with equal frequency in OB and NOB PCOS groups. Obesity could worsen IR, MS, and some of the components of Mets in PCOS adolescents.

Introduction Diabetes is a chronic and complex disease determined by environmental and genetic factors. This study aimed to investigate the association between polycyclic aromatic hydrocarbons (PAHs) exposure and fasting blood glucose levels and telomere length among coke-oven plant workers, to explore potential role of telomere length (TL) in the association between PAHs exposure and abnormal glucose level. Methods The cross-sectional survey was conducted in 2017. The high-performance liquid chromatography mass spectrometry (HPLC-MS) was used to detect 11 urine biomarkers of PAHs exposure. TL was measured using the Real-time quantitative polymerase chain reaction (RT-qPCR) method. Logistic regression model, the modified Poisson regression models, and mediation analysis were used to evaluate the associations between PAHs exposure, TL, and abnormal glucose. Results The results showed that the urinary 1-hydroxypyrene (1-PYR) was positively related to abnormal glucose in a dose-dependent manner (P trend = 0.007), the prevalence ratio of abnormal glucose was 8% (95% CI: 1.01–1.16) higher in 3rd tertile of urinary 1-PYR levels. Urinary 1-PYR in the 2nd tertile and 3rd tertile were associated with a 53% (OR = 0.47, 95% CI: 0.28–0.79) and 59% (OR = 0.41, 95% CI: 0.23–0.76) higher risk of shortening TL. And there was a negatively association between 1-PYR and TL in a dose-dependent manner (P trend = 0.045). We observed that the association between 1-PYR and abnormal glucose was more significantly positive among participants with median TL level (P trend = 0.006). In addition, mediation analysis showed the TL could explain 11.7% of the effect of abnormal glucose related to PAHs exposure. Conclusions Our findings suggested the effect of abnormal glucose related to PAHs exposure was mediated by telomere length in coke oven plant workers.

BACKGROUND The aim of this article was to evaluate the usefulness of sequential dual-time-point 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (DTP [18F]FDG PET/CT) in distinguishing physiologic, inflammatory and malignant palatine tonsils as difficult to differentiate in the oncological practice. METHODS A total of 90 patients before the treatment underwent sequential DTP [18F]FDG PET/CT examinations. We analyzed 104 structures in 90 patients: 31 physiologic tonsils, 28 histopathologically confirmed inflammatory tonsils of non-specified origin, 31 histopathologically confirmed palatine tonsils cancer and 14 non-malignant contralateral tonsils in patients with histopathologically confirmed unilateral palatine tonsil malignancy. Patients underwent sequential [18F]FDG PET/CT examinations at 60 and 90 minutes post-injection of the [18F]FDG. We analyzed the SUVmax and SUVmean values at 60 and 90 minutes post-injection changes over time and the Retention Index (RI-SUVmax). To find the predictive SUV value and the RI cut-off between physiology, inflammatory and malignancy, we used the ROC analysis. RESULTS The average SUVmax values at 60 and 90minutes post-injection within physiologic palatine tonsils were 1.36±0.26 and 1.31±0.26, respectively, P>0.05. The average SUVmax values at 60 and 90 minutes post-injection within inflammatory and malignant tonsils were 3.74±1.45, 3.80±1.47 (P>0.05) and 5.19±2.19, 5.81±2.50 (P

Retinal and renal microcirculations are known to share similar physiological changes during early diabetes because of abnormal glucose metabolism and other processes. The retinal vasculature therefore may serve as potential biomarker for the early identification of those at high risk of chronic kidney disease (CKD) in diabetes. Data from 1925 patients (aged 49.0 ± 10.3) with type 2 diabetes were analyzed. Various retinal image measurements (RIMs) were collected using a validated fully automated computer program. Multiple logistic regressions were performed to investigate the correlation between RIMs and CKD. In logistic regression adjusting for multiple variables, wider venular calibers in the central and middle zones and narrower arteriolar caliber in the central zone were associated with CKD (p

Background: International Association for Diabetes in Pregnancy Study Group (IADPSG) criteria recommends single step OGTT for diagnosis of gestational diabetes mellitus (GDM). The main concerns with IADPSG criteria are i) only one abnormal value is required and ii) fasting plasma glucose (FPG) cut point is too low. We report on association between number of abnormal glucose values and levels of FPG with pregnancy outcomes. Methods: Pregnant women (n=1,044) were screened for GDM using IADPSG criteria. OGTT’s were classified based on the number of abnormal glucose values (any one value vs. more than one value), and FPG values (100mg/dl) and correlated with pregnancy outcomes. Odds Ratios were adjusted for age, BMI, family history of diabetes, history of GDM, birth weight, gestational week at diagnosis and delivery. For macrosomia, birth weight was not included. Results: For caesarean sections, risk was higher in women with any one abnormal glucose value (OR:1.53;95%CI:1.08-2.16) and it increased further in those with more than one abnormal value (OR:1.58;95%CI:0.99-2.52), compared to women with normal glucose tolerance (NGT). Risk of caesarean section was also higher in women with FPG (92-100mg/dl) (OR:1.36;95%CI:0.86-2.15) and even higher in women with FPG >100mg/dl (OR:1.88;95%CI:1.08-3.29) when compared to FPG 100mg/dl (OR:1.61;95%CI:0.83-3.10) compared to FPG Conclusion: The risk for poor pregnancy outcomes starts in those with one abnormal value in the OGTT or with FPG >92mg/dl and the risk further increases with higher abnormal values. Disclosure B. Balaji: None. R. Anjana: None. M. Deepa: None. P. Rajendra: None. U. Ram: None. P. Saravanan: None. V. Mohan: None.

Kisspeptin is a hypothalamic protein critical for neuroendocrine control of pubertal development and fertility and is modulated by nutritional signals. Kisspeptin has been localized to specific neurons located in the arcuate and anteroventral periventricular (AVPV) nuclei of the hypothalamus and is secreted to control GnRH mediated pubertal maturation and reproduction. Kisspeptin has also been localized to peripheral tissues including the liver, fat, gonads, intestine and placenta, although its role in these tissues is unclear. The objective of current study is to define the role of hepatic kisspeptin as a metabolic sensor. A floxed Kiss1 mouse has been developed, and ablation of liver-specific Kiss1 was achieved in two to three month old Kiss1f/f male and female mice given a single tail vein injection of thyroid hormone-binding globulin (TBG) promoter-driven Cre recombinase adeno-associated virus (AAV-CRE). A control group of Kiss1f/f male and female mice received an injection of AAV-GFP, expressing green fluorescent protein. Two weeks after injection, a glucose tolerance test (GTT) was performed followed by an insulin tolerance test. To determine whether changes had occurred in the reproductive axis, estrous cyclicity was assessed by daily vaginal smears and estrous cycle phases determined by vaginal cytology. Mice were euthanized four weeks post-injection and tissues were collected for RNA extraction and gene expression analysis via qRT-PCR. As expected, qRT-PCR data showed absence of Kiss1 expression in the liver of AAV-CRE mice compared to AAV-GFP mice with no changes in kisspeptin gene expression were noted in the ovary, testes, spleen, pancreas, arcuate or AVPV. Estrous cyclicity was also not affected by viral ablation of hepatic Kiss1. Elevated fasting glucose and glucose intolerance in the GTT were found in AAV-CRE compared to AAV-GFP females (P < 0.05). No differences in AAV-CRE and AAV-GFP male mice were found, indicating the importance of Kiss1 in glucose homeostasis in females. The insulin tolerance test was not statistically different between groups or treatments. Further research is required to elucidate the mechanism by which hepatic kisspeptin alters glucose metabolism in mice in a sexually-dimorphic fashion.

This study aimed to evaluate the usefulness of the biphasic 2-deoxy-2-[18 F]fluoro-D-glucose positron emission tomography/computed tomography ([18 F]FDG PET/CT) examinations in terms of distinguishing benign and malignant lesions within the pharynx. 139 patients underwent sequential biphasic [18 F]FDG PET/CT examinations at 60 and 90 minutes (min) post intravenous injection (p.i.) of the [18 F]FDG. We evaluated the metabolic activity of 93 malignant lesions and 59 benign findings within pharynx as well as 70 normal blood vessels. We evaluated the maximal and mean standardized uptake value (SUVmax, SUVmean) and the retention index (RI-SUVmax). We used the receiver operating characteristics (ROC) analysis to obtain the prognostic metabolic indices cut-off which may differentiate between benign and malignant lesions. The SUVmax value cut-off at 60 and 90 min p.i. differentiating between normal and abnormal metabolic activity in the pharynx was 1.9 and 2.0, respectively. When compared benign and malignant lesions, the SUVmax on initial and delayed scans were 3.1 and 3.6, respectively. In this material, the increase of the SUVmax value over time of 1.7% suggested abnormality, while RI-SUVmax of 5.7% indicated malignant etiology. The biphasic [18 F]FDG PET/CT study protocol is useful in better stratification of normal and abnormal glucose metabolism activity in the pharynx.

Context: Associations between abnormal glucose metabolism and osteoporosis remain uncertain. What’s more, osteoporosis is usually considered as a health problem for women, and its influence and harm to men are often ignored. Objective: The objective of the study was to develop a osteoporosis or osteopenia incidence risk nomogram in China’s male patients with abnormal glucose metabolism by machine learning methods. Design, Setting, and Patients: This was a cross-sectional survey, which was part of a longitudinal (REACTION) study. The data came from a chronic disease database conducted in Ningde City and Wuyishan City, Fujian Province, China from June 2011 to January 2012. In the end, 1758 male patients with abnormal glucose metabolism were included for data analysis. Main Outcomes Measures: The 67 related variables are obtained by questionnaires, physical examinations, blood tests and auxiliary examinations. Results: The predictors in the prediction model included age, body mass index, alanine transaminase, fracture history, smoking history, fruit flavored drink, strong physical activity, and nap time. The model displayed moderate predictive power with a C-index of 0.653 (95%CI: 0.622-0.684) and an area under the ROC curve of 0.653. In verification set, the C-index reached 0.691 (95%CI: 0.636-0.746). The risk threshold was 8%-100% according to the analysis of the decision curve analysis, and the nomogram could be applied in clinical practice. Conclusions: This nomogram incorporating 8 features can be used to predict osteoporosis or osteopenia incidence risk in male patients with abnormal glucose metabolism.

Nonalcoholic Fatty Liver Disease (NAFLD), a common cause of chronic liver disease, represents a spectrum of histopathologic abnormalities. NAFLD is often associated to the typical components of the metabolic syndrome (MS), with characteristics including abdominal obesity, type 2 diabetes, Insulin Resistance (IR), hypertension, and Hypertriglyceridemia, and has seriously threatened human health. IR, a crucial element of MS, is the fundamental contributor in the process of NAFLD. Therapy strategies are finite and, for now, are basically concentrated on weight reduction and utilization of insulin sensitizing agents. Recent literature indicated IR related to the abnormal glucose metabolism play a pivotal role in the development of NAFLD. Moreover, glucose resistance, glucocorticoid hormones, leptin, et al are also associated with glucose metabolism dysfunction in NAFLD. We highlight the mechanisms of these components in NAFLD, and our work might be beneficial for comprehending the mechanism and treatment of abnormal glucose metabolism in patients with NAFLD.

Background: Patients with coronary artery disease (CAD) frequently have multiple risk factors. Diabetes and impaired glucose tolerance (IGT) have been associated with cardiovascular events and cardiovascular disease mortality. Aim of the study: This study aims to determine the prevalence of abnormal glucose regulation (AGR) among Libyan patients, presenting for elective coronary angiography. Methods: All patients referred for a diagnostic coronary angiogram at the Catheterization Laboratory of National Heart Centre, Tajora, Tripoli, over a period of 1 year from April 2007 to March 2008, were included after consent. Patients with a history of diabetes were excluded from the study. Diagnostic coronary angiogram was performed for all included patients as well as a standard oral glucose tolerance test (OGTT) with 75 GM glucose. Results: Ninety-nine patients were included in our study, with a mean age of 54.6 ± 11.2 years. 49 (49.5%) of the enrolled patients showed either impaired or diabetic fasting or 2-h OGTT results. 22 (22.2%) patients were diabetic based on fasting blood glucose or 2-h OGGT result, and 21 (21.2%) have IGT. Of the 15 (15.2%) patients with impaired fasting glucose, 7 (46.7%) patient showed diabetic glucose tolerance, and 2 (13.3%) patients have IGT. Among patients with AGR, coronary angiogram showed significant CAD in 36 (73.5%), compared to 28 (56%) of patients with normal fasting and 2-h OGTT results. Conclusion: Abnormal glucose regulation was high among Libyan patients presented for elective angiography. OGTT should be part of the evaluation in this high-risk population.

The metabolic syndrome (MetS) is a complex constellation of metabolic abnormalities including obesity, abnormal glucose metabolism, dyslipidemia, and elevated blood pressure that together substantially increase risk for cardiovascular disease and Type 2 diabetes. Both genetic and environmental factors contribute to the development of MetS, but this process is still far from understood. Human studies have revealed only part of the underlying basis. Studies in mice offer many strengths that can complement human studies to help elucidate the etiology and pathophysiology of MetS. Here we review the ways mice can contribute to MetS research. In particular, we focus on the information that can be obtained from studies of the inbred strains, with specific focus on the phenotypes of the wild-derived inbred strains. These are newly derived inbred strains that were created from wild-caught mice. They contain substantial genetic variation that is not present in the classical inbred strains, have phenotypes of relevance for MetS, and various mouse strain resources have been created to facilitate the mining of this new genetic variation. Thus studies using wild-derived inbred strains hold great promise for increasing our understanding of MetS.

Objective: To determine the frequency of diabetes mellitus impaired glucose tolerance and impaired fasting glucose in Pakistani patients with acromegaly and to establish the impact of the intervention (surgery/ medical) on glucose metabolism. Methods: Eighty-nine patients fulfilling the endocrine society criteria for acromegaly diagnosis were included. A data of baseline, growth hormone (GH), Insulin-like growth factor-1 (IGF-1) level, Hemoglobin A1C (HbA1C), fasting blood glucose (FBG), and random blood glucose (RBS) levels were reviewed before and after the intervention (surgery/medical therapy). Normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and diabetes mellitus (DM) were defined based on the 2003 ADA criteria. Patients were grouped into normoglycemic (NGT) and dysglycemic (IFG, IGT, and DM) based on FBS, RBS, and HbA1C. Results: Major risk factors for dysglycemia included age (15-45 years), male sex (33.70%), obesity (45.7%), and macroadenoma (76%). Both mean GH levels (58.29 vs. 54.36 ng/dl) and IGF-1 levels (862.98 vs. 824.32 ng/dl) were higher among the normoglycemic than dysglycemia. Pre-surgery, NGT, IFG, IGT, IFG, and IGT combined and DM were found in 48.31, 5.61, 1.1, 5.61, and 39.32 % of the subjects, respectively. Post-surgery, HbA1C improved in 79.5%, deteriorated in 6.8%, and remained the same in 13.6%. Similarly, it improved in 67.4.7% post-medical therapy. Both FBS and RBS improved post-surgery and medical therapy. Further, the number of anti-diabetic drugs used also decreased post-surgery. Conclusion: Dysglycemia is more common among patients with acromegaly as compared to the general population and tends to be poorly controlled in untreated acromegaly. Glycemic control improves significantly after the surgery and medical therapy. Keywords: Acromegaly, Diabetes Mellitus, Transsphenoidal surgery

In the original article [...]

Aims/Introduction To investigate the relationship between various glucose metabolic status and arterial stiffness, and further explore the threshold of blood glucose indices for the risk of arterial stiffness. Materials and Methods The present cross‐sectional study included 4,851 individuals from a Chinese community. Overnight fasting blood glucose and 2‐h post‐load glucose were sampled. Arterial stiffness was measured as brachial‐ankle pulse wave velocity. The association was examined using generalized linear regression models. The threshold effect was explored using two piecewise linear regression models by the smoothing plot. Results After adjustment for covariates, isolated impaired fasting glucose, isolated impaired glucose tolerance, combined glucose intolerance and newly diagnosed diabetes mellitus were associated with a greater risk of arterial stiffness compared with normal glucose tolerance (B = 18.09, 95% confidence interval [CI] 0.42–35.76, P = 0.045; B = 28.51, 95% CI: 3.40–53.62, P = 0.026; B = 60.70, 95% CI: 38.37–83.04, P < 0.001; B = 95.06, 95% CI: 71.88–118.25, P < 0.001, respectively). Furthermore, there was a non‐linear relationship between 2‐h post‐load glucose and arterial stiffness. A threshold for 2‐h post‐load glucose of 6.14 mmol/L was observed for the risk of arterial stiffness. Conclusions Impaired fasting glucose, impaired glucose tolerance, combined glucose intolerance and newly diagnosed diabetes mellitus were related to a greater risk of arterial stiffness compared with normal glucose levels. A threshold for 2‐h post‐load glucose of 6.14 mmol/L probably exists for the risk of arterial stiffness.

Inferring abnormal glucose events such as hyperglycemia and hypoglycemia is crucial for the health of both diabetic patients and non-diabetic people. However, regular blood glucose monitoring can be invasive and inconvenient in everyday life. We present SugarMate, a first smartphone-based blood glucose inference system as a temporary alternative to continuous blood glucose monitors (CGM) when they are uncomfortable or inconvenient to wear. In addition to the records of food, drug and insulin intake, it leverages smartphone sensors to measure physical activities and sleep quality automatically. Provided with the imbalanced and often limited measurements, a challenge of SugarMate is the inference of blood glucose levels at a fine-grained time resolution. We propose Md3RNN, an efficient learning paradigm to make full use of the available blood glucose information. Specifically, the newly designed grouped input layers, together with the adoption of a deep RNN model, offer an opportunity to build blood glucose models for the general public based on limited personal measurements from single-user and grouped-users perspectives. Evaluations on 112 users demonstrate that Md3RNN yields an average accuracy of 82.14%, significantly outperforming previous learning methods those are either shallow, generically structured, or oblivious to grouped behaviors. Also, a user study with the 112 participants shows that SugarMate is acceptable for practical usage.

The aim of this study was to determine the relationship between glucose fluctuation and global registry of acute coronary events (GRACE) risk score in patients with acute coronary syndrome (ACS) and abnormal glucose metabolism using continuous glucose monitoring system (CGMS). A total of 76 patients with ACS admitted into coronary care unit (CCU) were divided into two groups based on their blood glucose level and were further divided into subgroups based on GRACE risk score. A CGMS was used to real-time monitor blood glucose for 72 h in all patients after admitted into CCU. Twenty-four-hour mean blood glucose (24-h MBG) and 24-h mean amplitude of glycemic excursion (24-h MAGE) were calculated. Among the 76 patients, 52 patients had abnormal glucose metabolism. Among the 52 patients, there were 8 patients in low-risk group, 19 patients in moderate-risk group, and 25 in high-risk group. Among the 24 patients with normal glucose metabolism, there were 6 patients in the low-risk group, 6 patients in the moderate-risk group, and 12 in the high-risk group based on GRACE score. For patients with abnormal glucose metabolism, the 24-h MBG and 24-h MAGE of moderate- and high-risk groups were significantly higher than that of the low-risk group, which were not found in patients with ACS and normal glucose metabolism. High prevalence of abnormal glucose metabolism was found in ACS patients admitted into CCU and larger blood glucose fluctuation is associated with moderate and high GRACE risk scores in patients with ACS and abnormal glucose metabolism.

PET with 18F-FDG has been used for presurgical localization of epileptogenic foci; however, in nonsurgical patients, the correlation between cerebral glucose metabolism and clinical severity has not been fully understood. The aim of this study was to evaluate the glucose metabolic profile using 18F-FDG PET/CT imaging in patients with epilepsy. Methods: One hundred pediatric epilepsy patients who underwent 18F-FDG PET/CT, MRI, and electroencephalography examinations were included. Fifteen age-matched controls were also included. 18F-FDG PET images were analyzed by visual assessment combined with statistical parametric mapping (SPM) analysis. The absolute asymmetry index (|AI|) was calculated in patients with regional abnormal glucose metabolism. Results: Visual assessment combined with SPM analysis of 18F-FDG PET images detected more patients with abnormal glucose metabolism than visual assessment only. The |AI| significantly positively correlated with seizure frequency (P < 0.01) but negatively correlated with the time since last seizure (P < 0.01) in patients with abnormal glucose metabolism. The only significant contributing variable to the |AI| was the time since last seizure, in patients both with hypometabolism (P = 0.001) and with hypermetabolism (P = 0.005). For patients with either hypometabolism (P < 0.01) or hypermetabolism (P = 0.209), higher |AI| values were found in those with drug resistance than with seizure remission. In the post-1-y follow-up PET studies, a significant change of |AI| (%) was found in patients with clinical improvement compared with those with persistence or progression (P < 0.01). Conclusion:18F-FDG PET imaging with visual assessment combined with SPM analysis could provide cerebral glucose metabolic profiles in nonsurgical epilepsy patients. |AI| might be used for evaluation of clinical severity and progress in these patients. Patients with a prolonged period of seizure freedom may have more subtle (or no) metabolic abnormalities on PET. The clinical value of PET might be enhanced by timing the scan closer to clinical seizures.

Sex differences may assume a key role in condition of impaired glucose metabolism and progression to type 2 diabetes, affecting insulin-dependent processes. However, the presence of sex differences in non-insulin-dependent processes (i.e. glucose effectiveness) has been scarcely investigated. The aim of this study was to detect the presence of sex differences in glucose effectiveness (SG), as assessed by minimal model analysis, in subjects with different degrees of glucose metabolism impairment. Two groups of subjects ranging from normal (NGR, n = 57, males/females: 31/26) to abnormal glucose regulation (AGR, n = 115, males/females 42/73) underwent a 3-h frequently sampled intravenous glucose tolerance test. Minimal model analysis provided SG and its components at zero (GEZI) and at basal (BIE) insulin. Values for SG were 2.52 ± 0.98 10−2 min−1 and 2.81 ± 1.07 10−2 min−1 for males and females in the NGR group, and 2.08 ± 1.21 10−2 min−1 and 2.09 ± 0.98 10−2 min−1 for males and females in the AGR group. No statistically significant difference was found between males and females in both NGR (p = 0.29) and AGR (p = 0.94) groups. Sex differences were not detected for GEZI, which provided the major contribution to SG, either in NGR or AGR group. In conclusion, glucose effectiveness and its components seem to be not affected by sex differences in all glucose tolerance conditions.

Diabetes mellitus (DM) and abnormal glucose metabolism are associated with cardiovascular (CV) disease. We investigated the prevalence and prognostic importance of dysglycaemia in patients with acute coronary syndromes (ACS) in the PLATelet inhibition and patient Outcomes (PLATO) trial. Diabetes was defined as known diabetes or HbA1c ≥ 6.5% or non-fasting glucose ≥ 11.1 mmol/L on admission, prediabetes as HbA1c ≥ 5.7% but

Subclinical beta-cell (β-cell) dysfunction is an endocrine abnormality and its association with recurrent miscarriages (RM) has not been extensively studied. This study aimed to determine the prevalence of β-cell dysfunction and abnormal glucose metabolism [fasting blood glucose (FBG) ≥ 5.1 mmol/L] among non-diabetic women with recurrent miscarriages and to establish if there was an association between RM and β-cell dysfunction and FBG ≥ 5.1 mmol/L. This was a cross-sectional study involving 80 women with miscarriages at ≤ 13 weeks gestation and 80 women with normal pregnancies at ≤ 13 weeks of gestation with at least one successful live-birth and no history of miscarriage (comparison group). Interviewer-administered questionnaire was used to obtain relevant information. From each participant, FBG and fasting insulin were assayed. β-Cell function was computed. The data obtained was analysed using IBM-SPSS version 22.0. A significantly higher prevalence of β-cell dysfunction and abnormal glucose metabolism were observed among non-diabetic women with RM compared to age-matched controls (38.8% vs 10.0%, P

To explore the prevalence of unknown diabetes (DM) or prediabetes (pre-DM) in "nondiabetic" patients and its association with 2-year clinical outcomes after primary percutaneous coronary intervention (PCI).5202 consecutive "nondiabetic" patients who underwent primary PCI at Fuwai Hospital from January to December 2013 were prospectively enrolled. The patients were grouped according to their glycemia status: unknown DM (HbA1c ≥ 47 mmol/L; FPG≥ 7.0 mmol/L), pre-DM (HbA1c 39-47 mmol/L; FPG: 5.6-6.9 mmol/L) and normoglycemia (NG, HbA1c 39 mmol/L; FPG 5.6 mmol/L). The main endpoint was 2-year major adverse cardiovascular events (MACE), including cardiac death, myocardial infarction, and target vessel revascularization. A total of 905 patients had unknown DM, and 3407 patients had pre-DM. Unknown DM and pre-DM were associated with aging (p 0.001); a greater proportion of hypertension (p 0.001), previous myocardial infarction (p 0.001), and chronic kidney disease (p = 0.004). During the 2-year follow-up, the rate of MACE was significantly higher in the unknown DM and pre-DM groups than in the NG group (8.1% vs. 5.8% vs. 4.1%, respectively, p = 0.001). Multivariate analyses demonstrated that unknown DM was associated with a 1.9-fold higher event risk compared to NG (95% CI: 1.2-2.8).The prevalence of abnormal glucose metabolism was high in "nondiabetic" Chinese PCI patients. Patients with unknown DM and pre-DM had higher event risks than those with NG. In "nondiabetes" patients requiring PCI, routine assessment of HbA1c and FPG appears to be of value to identify patients with an increased event risk.

Hyperglycemia is a prevalent feature of diabetes mellitus (DM), which is a chronic metabolic disease. Such prolonged condition of abnormal glucose level leads to macro- and microvascular complications.

OBJECTIVES: Insulin resistance with abnormal glucose uptake in the brain and inflammation are key pathologies in Alzheimer's disease (AD), related dementias, and in some people with mild cognitive impairment (MCI). Mild nutritional ketosis could provide therapeutic benefit since ketones are an alternative fuel to glucose through production of adenosine triphosphate via the Kreb's cycle and have anti-inflammatory effects. METHODS: Ketone uptake is normal in brain regions affected by abnormal glucose uptake in AD (Castellano, et al. J Alzheim Dis 2015). Ketones are anti-inflammatory and lessen beta amyloid plaques and tau tangles in animal models (Kashiwaya et al. PNAS 2000; Wu et al. FASEB 2020). Strategies to achieve mild nutritional ketosis (blood betahydroxybutyrate levels 0.5–2 mmol/L) include: (1) Intermittent fasting ≥ 10–14 hours. (2) MCT oil ≥ 18 gm/day. (3) Ketogenic diet (KD) (carbohydrates ≤ 50 grams per day and fat ≥ 50% of calories.) (4) Exogenous ketone salts and esters. RESULTS: Clinical trials and case studies have reported positive results using medium-chain triglyceride (MCT) oil, coconut oil (source of MCT oil), KD, or ketone ester in people with mild cognitive impairment and AD. KD improves biomarkers of insulin resistance in people with type 2 diabetes (Feinman et al. Nutrition 2015). Two people with mild AD had improved insulin-resistance biomarkers and normalization of MoCA cognitive test after 10 weeks of KD (Stoykovich and Gibas Alzheimers Dement 2019; Morrill and Gibas Diabetes Metab Syndr 2019). A study of 65 people with MCI taking MCT oil 30 gm/day for 6 months vs. placebo documented increased brain energy from ketones and cognitive improvement, without change in lipid profile or serious adverse effects (Fortier et al. Alzheimers Dement 2020). A study of 53 people with mild to moderate AD taking MCT oil 6 gm 3 x daily for 30 days reported improved cognition and lipid metabolomics (Xu et al. Clin Nutr 2020). CONCLUSIONS: Given the lack any new FDA-approved drug for more than 15 years to treat or improve cognition in people with Alzheimer's, accumulating evidence suggests that adopting strategies to achieve mild nutritional ketosis could provide a safe and reasonable therapeutic approach to improve symptoms and a strategy for prevention. FUNDING SOURCES: None.

BACKGROUND: An oral glucose tolerance test (OGTT) and/or glycosylated haemoglobin A1c (HbA1c) in patients with acute myocardial infarction (AMI) identify patients with increased mortality risk, but no comparison of the long-term prognostic values has yet been investigated.METHODS: This study was a prospective cohort enrolling patients with AMI between 2002 until 2008 and follow-up until 1st October, 2012. Patients without known diabetes mellitus (DM) underwent an OGTT. Seventy-nine patients with known DM did not have an OGTT performed. Primary endpoint was all-cause mortality. We included 548 patients with AMI, of whom 469 underwent a standardized OGTT and were stratified according to OGTT and HbA1c.RESULTS: During 9.8years of follow-up, 179 (33%) patients died. In patients having increased HbA1c ≥6.5%, a significantly increased mortality was observed (Hazard Ratio (HR) 1.60 [1.09-2.34]). However, when adjusting for known DM, no significance was detected. An OGTT did not show a significantly increased mortality, if used separately. A combined estimate showed a significantly increased mortality in patients categorized as newly diagnosed DM by OGTT and HbA1cCONCLUSION: An OGTT is recommended in AMI patients without known DM and HbA1c

[Purpose] There is insufficient evidence related to exercise programs that are safe and efficacious for pregnant women with abnormal glucose metabolism. Tai Chi Yuttari-exercise is an exercise program with validated safety and efficacy in improving physical function in the elderly. In this study, we investigated this program's inhibitory effects on plasma glucose elevation when it was adapted to a pregnancy model. [Subjects and Methods] Twelve 18- to 19-year-old females without a history of pregnancy were randomly assorted into two groups: an intervention group, for which six subjects were outfitted with mock-pregnancy suits and asked to perform Tai Chi Yuttari-exercise, and a control group who did not perform exercise. The intervention group had a mean Borg Scale score of 11.1 ± 0.9 during the exercise. [Results] No significant intragroup differences were observed in fasting, baseline, or post-intervention/observation plasma glucose levels. On the other hand, the intergroup change in plasma glucose levels after intervention/observation was significant when comparing the intervention and control groups: -1.66 ± 7.0 and 9.42 ± 6.57 mg/dl, respectively. [Conclusion] Tai Chi Yuttari-exercise appears to effectively inhibit plasma glucose elevation at intensity and movement levels that can be safely applied to pregnant women with abnormal glucose metabolism.

A prediabetic state is a major risk factor for the development of diabetes, and, because of an identical pathophysiological background of both conditions, their prevalence increases parallelly and equally fast. Long-term hyperglycemia is the main cause inducing chronic complications of diabetes, yet the range of glucose levels at which they start has not been yet unequivocally determined. The current data show that chronic microvascular complications of diabetes can be observed in patients with abnormal glucose metabolism in whom glycaemia is higher than optimal but below diagnostic criteria for diabetes. Prediabetes is a heterogenous nosological unit in which particular types are differently characterized and show different correlations with particular kinds of complications. Analysis of the latest research results shows the need to continue studies in a larger population and can imply the need to verify the currently employed criteria of diagnosing diabetes and chronic complications of diabetes in people with prediabetes.

Objective The purpose is to discuss the application of intelligent ultrasound sensor in the measurement of fetal hemodynamics and the evaluation of health factors. Methods: 237 pregnant women who were hospitalized in the fourth people's hospital of Jinan from June 2016 to May 2018 were selected as the study objects. According to the situation of pregnant women, they were divided into pre-pregnancy diabetes group (Group IB, 19 cases), gestational diabetes group (Group IA, 93 cases), and normal control group (Group II, 125 cases). In order to evaluate the health status of pregnant women and infants, intelligent ultrasound sensor was used for pregnant women measurement in each group, including ultrasonic parameters, hemodynamic parameters, and body weight. Results There was no significant difference in age, height, weight, and gestational weeks between Group IA, Group IB, and Group II (P > 0.05). Pregnant women in each group showed that the blood glucose content of Group IB and Group IA increased significantly after fasting and glucose tolerance test, compared with the control group (P Conclusion Through the study, it was found that the measurement of hemodynamic parameters in the later period of pregnancy with intelligent ultrasound sensor could predict the outcome of pregnancy, especially the adverse pregnancy outcome of patients with abnormal glucose metabolism. It could provide experimental basis for the prediction of the outcome of pregnancy and the evaluation of health status of patients with abnormal glucose metabolism in the later period of pregnancy.