Prediabetes: Screening, Diagnosis, and Intervention

Risk factors for prediabetes in community-dwelling adults: A generalized estimating equation logistic regression approach with natural language processing insights

The global prevalence of prediabetes is expected to reach 8.3% (587 million people) by 2045, with 70% of people with prediabetes developing diabetes during their lifetimes. We aimed to classify community-dwelling adults with a high risk for prediabetes based on prediabetes-related symptoms and to identify their characteristics, which might be factors associated with prediabetes. We analyzed homecare nursing records (n = 26,840) of 1628 patients aged over 20 years. Using a natural language processing algorithm, we classified each nursing episode as either low-risk or high-risk for prediabetes based on the detected number and category of prediabetes-symptom words. To identify differences between the risk groups, we employed t-tests, chi-square tests, and data visualization. Risk factors for prediabetes were identified using multiple logistic regression models with generalized estimating equations. A total of 3270 episodes (12.18%) were classified as potentially high-risk for prediabetes. There were significant differences in the personal, social, and clinical factors between groups. Results revealed that female sex, age, cancer coverage as part of homecare insurance coverage, and family caregivers were significantly associated with an increased risk of prediabetes. Although prediabetes is not a life-threatening disease, uncontrolled blood glucose can cause unfavorable outcomes for other major diseases. Thus, medical professionals should consider the associated symptoms and risk factors of prediabetes. Moreover, the proposed algorithm may support the detection of individuals at a high risk for prediabetes. Implementing this approach could facilitate proactive monitoring and early intervention, leading to reduced healthcare expenses and better health outcomes for community-dwelling adults.

Correlation Between Prognostic Nutritional Index, Glasgow Prognostic Score, and Different Obesity-Related Indices in People with Diabetes or Prediabetes

BACKGROUND/OBJECTIVES

The prognostic nutritional index (PNI) and Glasgow Prognostic Score (GPS) are associated with patients' nutritional and immune statuses. One important factor in the pathophysiology of type 2 diabetes mellitus (T2DM) is inflammation. Being present in insulin-target tissues, chronic tissue inflammation has become recognized as a crucial aspect of obesity and type 2 diabetes. This study aimed to compare the PNI and GPS levels of the subjects with T2DM to those of prediabetes (preDM) individuals. Furthermore, the goal was to investigate how these inflammatory markers relate to different types of obesity and whether the combination of PNI, GPS, and obesity-related indices was associated with any particular prognostic variables.

METHODS

In this study, we enrolled one-hundred patients with newly diagnosed T2DM and one-hundred patients with preDM.

RESULTS

Four findings emerged from this observational study. As a first observation, 28% of patients with preDM and 15% of patients with T2DM had a normal weight, while up to 43% of patients with preDM and 60% of patients with T2DM were obese. The second important observation was that the PNI of the T2DM patients was significantly lower than the PNI of the patients with preDM (p < 0.0001). The PNI showed that patients with T2DM had a moderate-to-severe malnutrition status (median value of 38.00). Patients with preDM had a mild-to-moderate malnutrition status (median value of 61.00) at diagnosis. Third, observed in the current study, preDM patients with PNI < 61.00 and T2DM patients with a PNI < 38.00 were associated with significantly higher median values of the waist-to-height ratio (WHtR) (p = 0.041, and p = 0.034, respectively) and body mass index (BMI) (p = 0.016, and p = 0.041, respectively). Fourth, this study also revealed, in the T2DM group, a moderate and statistically significant negative correlation between PNI and weight (rho = -0.322, p = 0.035), waist circumference (WC) (rho = -0.308, p = 0.042), hip circumference (HC) (rho = -0.338, p = 0.039), WHtR (rho = -0.341, p = 0.022), body adiposity index (BAI) (rho = -0.312, p = 0.032), and fasting plasma glucose (FPG) (rho = -0.318, p = 0.029). Additionally, the PNI values expressed a weak negative correlation with BMI (rho = -0.279, p = 0.015), and glycated hemoglobin A1c (HbA1c) (rho = -0.245, p = 0.025). The PNI levels exhibited a single positive correlation, weak but statistically significant, with estimated glomerular filtration rate (eGFR-CKD-EPI) values (rho = 0.263, p = 0.018).

CONCLUSIONS

The findings of this study regarding the correlations between PNI, GPS, and different obesity-related indices in people with diabetes or prediabetes suggest that these indices, which assess nutritional and inflammatory status, can be used as independent predictor factors associated with the four pillars of DM management (glucose, blood pressure, lipids, and weight control) recommended by the American Diabetes Association (ADA).

Prevalence of Prediabetes and Associated Risk Factor Assessment Among Adults Attending Primary Healthcare Centers in Al Bahah, Saudi Arabia: A Cross-Sectional Study

Background

Prediabetes is an asymptomatic intermediate state of hyperglycemia with a major risk of developing type 2 diabetes (T2D). It is a progressive condition; it can take a few years for patients to become diabetic from a prediabetes state.

Objectives

This study aimed to detect the prevalence rate of prediabetes among the adult population and to assess the association of the risk factors to prediabetes in both the male and female genders.

Methods

A cross-sectional study was carried out in primary healthcare centers (PHC) in the city of Al Bahah, Saudi Arabia. A total of 378 study participants of both sexes from two central PHCs were eligible to participate in the study, which was conducted from January to February 2018. Data were collected through anthropometric measurements, laboratory investigations, and a predesigned questionnaire interview to identify demographic, lifestyle, and medical variables. Two blood tests were used to diagnose prediabetes: fasting plasma glucose (FBG) and hemoglobin A1c (HbA1C).

Results

The overall prevalence of prediabetes among all participants was 20% (around 21% in males and 19% in females of all ages). There was a statistically significant association between prediabetes and obesity (central obesity), hypertension, and a family history of diabetes mellitus (FHDM).

Conclusion

The prediabetic state is highly prevalent among adults attending PHC in Al Bahah city (20%). It is associated with obesity (especially central), hypertension, and FHDM. We highly recommend that public health professionals implement strategies for effective screening, diagnosis, and management of prediabetes.

Evaluation of the effects of bredemolic acid on selected markers of glucose homeostasis in diet-induced prediabetic rats

CONTEXT

Pentacyclic triterpenes (such as maslinic acid) are natural anti-diabetic agents that ameliorate glucose metabolism in diet-induced prediabetes. However, the effects of bredemolic acid (BA), maslinic acid isomer, is yet unknown in prediabetic (PD) conditions.

OBJECTIVES

To investigate the effects of BA on some glucose homeostasis parameters in high-fat high-carbohydrate (HFHC) diet-induced PD rats.

METHODS

Thirty-six (36) male rats (150-180 g) were divided into two groups, the normal diet (ND) non-prediabetic, NPD (n = 6) and the HFHC diet PD groups (n = 30). The PD animals were further sub-divided into five groups (n = 6) where they were treated with BA for 12 weeks while monitoring changes in blood glucose, caloric intake, and body weight.

RESULTS

Diet-induced prediabetes resulted in increased body weight, caloric intake, glycated haemoglobin, and glucose tolerance. BA treatment ameliorated glucose tolerance, lowered plasma insulin and increased expression of glucose transporter 4 (GLUT 4) in rats.

CONCLUSIONS

BA administration restored glucose homeostasis in diet-induced prediabetes regardless of diet intervention.

Health Insurance Is Associated with Decreased Odds for Undiagnosed Prediabetes and Type 2 Diabetes in American Adults

Over a third of adults in the United States have prediabetes, and many of those with prediabetes will progress to type 2 diabetes within 3-5 years. Health insurance status may factor into a proper diagnosis of prediabetes and diabetes. This study sought to determine the associations between health insurance and undiagnosed prediabetes and diabetes in a national sample of American adults. Publicly available data from 13,029 adults aged 18-64 years from the 2005-2016 waves of the National Health and Nutrition Examination Survey were analyzed. Health insurance type (Medicaid, Private, Other, None) was self-reported. Prediabetes and diabetes status were assessed with measures of self-report, glycohemoglobin, fasting plasma glucose, and two-hour glucose. Covariate-adjusted logistic models were used for the analyses. Overall, 5976 (45.8%) participants had undiagnosed prediabetes, while 897 (6.8%) had undiagnosed diabetes. Having health insurance was associated with decreased odds ratios for undiagnosed prediabetes: 0.87 (95% confidence interval (CI: 0.79, 0.95)) for private insurance, 0.84 (CI: 0.73, 0.95) for other insurance, and 0.78 (CI: 0.67, 0.90) for Medicaid. Moreover, having private health insurance was associated with 0.82 (CI: 0.67, 0.99) decreased odds for undiagnosed diabetes. Health insurance coverage and screening opportunities for uninsured individuals may reduce prediabetes and diabetes misclassifications.

The Effects of Plant-Derived Oleanolic Acid on Selected Parameters of Glucose Homeostasis in a Diet-Induced Pre-Diabetic Rat Model

Prolonged exposure to high energy diets has been implicated in the development of pre-diabetes, a long-lasting condition that precedes type 2 diabetes mellitus (T2DM). A combination of pharmacological and dietary interventions is used to prevent the progression of pre-diabetes to T2DM. However, poor patient compliance leads to negligence of the dietary intervention and thus reduced drug efficiency. Oleanolic acid (OA) has been reported to possess anti-diabetic effects in type 1 diabetic rats. However, the effects of this compound on pre-diabetes have not yet been established. Consequently, this study sought to evaluate the effects OA on a diet-induced pre-diabetes rat model. Pre-diabetic male Sprague Dawley rats were treated with OA in both the presence and absence of dietary intervention for a period of 12 weeks. The administration of OA with and without dietary intervention resulted in significantly improved glucose homeostasis through reduced caloric intake, body weights, plasma ghrelin concentration and glycated haemoglobin by comparison to the pre-diabetic control. These results suggest that OA may be used to manage pre-diabetes as it was able to restore glucose homeostasis and prevented the progression to overt type 2 diabetes.