Prevalence of type 2 diabetes and their complications among home health care patients at Al-Kharj military industries corporation hospital

Antiobesity and antidiabetes effects of Cyperus rotundus rhizomes presenting protein tyrosine phosphatase, dipeptidyl peptidase 4, metabolic enzymes, stress oxidant and inflammation inhibitory potential

Diabetes is a significant global health concern that increases the vulnerability to various chronic illnesses. In view of this issue, the current research aimed to examine the effects of administering an extract derived from the tubers of Cyperus rotundus L (CrE) on obesity, type 1 diabetes, and liver-kidney toxicity. Through the utilization of HPLC-DAD analysis, it was discovered that the extract contained several components, including quercetin (47.8%), luteolin glucoside (17%), luteolin (7.56%), apigenin-7-glucoside (6.29%), naringinin (4.52%), and seven others. In vitro experiments they have demonstrated that CrE effectively inhibited key digestive enzymes associated with obesity and type 2 diabetes, such as DPP-4, PTP1B, lipase, and α-amylase, as evidenced by their respective IC50 values are about 23, 51,83, and 67 μg/ml respectively. Furthermore, when diabetic rats were administered CrE, the activity of pancreatic enzymes linked to inflammation, namely 5-lipoxygenase (5-LO), hyaluronidase (HAase), and myeloperoxidase (MPO), was significantly suppressed by 48, 41, 75, and 47%, respectively. Moreover, CrE exhibited protective effects on pancreatic β-cells by inhibiting the formation of thiobarbituric acid reactive substances (TBARS) by 65% and the induction of superoxide Dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX) activities by 62, 108, and 112% respectively as compared to diabetic untreated rat. Additionally, CrE significantly inhibited the activities of intestinal, pancreatic, and serum lipase and α-amylase activities. In diabetic rats, CrE administration suppressed glycogen phosphorylase (GP) stimulated glycogen synthase (GS) activities by 45 and 30%; and this increased liver glycogen content by 45%. Furthermore, CrE modulated key hepatic enzymes involved in carbohydrate metabolism, including hexokinase (HK), glucose-6-phosphate dehydrogenase (G6PD), glucose-6-phosphatase (G6P), and fructose-1,6-bisphosphatase (FBP). Notably, the average food and water intake (AFI and AWI) of diabetic rats treated with CrE was reduced by 15 and 16% respectively as compared to those without any treatment. Therefore, this study demonstrated the effectiveness of Cyperus rotundus tubers in preventing and treating obesity and diabetes.

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications. As the time available for clinical office visits shortens and medical imaging data become more widely available, patient image data could be used to opportunistically identify patients for additional T2DM diagnostic workup by physicians. We investigated whether image-derived phenotypic data could be leveraged in tabular learning classifier models to predict T2DM risk in an automated fashion to flag high-risk patients without the need for additional blood laboratory measurements. In contrast to traditional binary classifiers, we leverage neural networks and decision tree models to represent patient data as 'SynthA1c' latent variables, which mimic blood hemoglobin A1c empirical lab measurements, that achieve sensitivities as high as 87.6%. To evaluate how SynthA1c models may generalize to other patient populations, we introduce a novel generalizable metric that uses vanilla data augmentation techniques to predict model performance on input out-of-domain covariates. We show that image-derived phenotypes and physical examination data together can accurately predict diabetes risk as a means of opportunistic risk stratification enabled by artificial intelligence and medical imaging. Our code is available at https://github.com/allisonjchae/DMT2RiskAssessment.

Prevalence of type 2 diabetes mellitus and related factors among the general adult population in Saudi Arabia between 2016-2022: A systematic review and meta-analysis of the cross-sectional studies

BACKGROUND

Health officials need current knowledge of type 2 diabetes mellitus (T2DM) and related risk factors to prioritize prevention and control measures due to lifestyle changes, population structure, and the high incidence of diabetes in Saudi Arabia. The present systematic review aims to estimate the current pooled prevalence of T2DM and related risk factors among the general adult population in Saudi Arabia between 2016 and 2022.

METHODS

PubMed, Web of Science, and Google Scholar databases were searched for cross-sectional studies that reported T2DM among adults in Saudi Arabia and were published between December 31, 2016, and December 31, 2022. The PRISMA guidelines and the AXIS tool were employed to report and evaluate study quality and bias risk.

RESULTS

The meta-analysis with a fixed effect model included 10 studies comprising 8457 general men and women adults aged 18 or older. The prevalence of T2DM was 28% (95% CI = 27-28, P < .001), and risks of T2DM in persons over 40 were nearly twice as high (OR = 1.74, 95% CI = 1.34-2.27) than in age under 40 among general adult population in Saudi Arabia between 2016-2022. This difference was statistically significant (P < .0001).

CONCLUSION

The evidence from this review provided alarming and highlighted points about the prevalence of T2DM between 2016 and 2022, but there was high heterogeneity between the studies. Individuals aged 40 or older had a high risk of T2DM among the general adult population in Saudi Arabia.

Prevalence of Type 2 Diabetes Mellitus in the General Population of Saudi Arabia, 2000-2020: A Systematic Review and Meta-Analysis of Observational Studies

Background

The prevalence of type 2 diabetes mellitus (T2DM) has increased worldwide, including in Saudi Arabia.

Objective

To systematically review the available literature and assess the pooled prevalence of T2DM in Saudi Arabia between 2000 and 2020.

Methods

Observational studies that reported quantitative estimates of the prevalence of T2DM as their main outcome, included the general population of Saudi Arabia, and were published between 2000-2020 and in English were retrieved using three electronic databases (namely, CINAHL, Medline via PubMed, and Web of Science). Retrieved studies were screened, and relevant data were extracted. The Joanna Briggs Institute Critical Appraisal guideline was used to assess the methodological quality of included studies. A random-effects model was used to estimate the prevalence of T2DM.

Results

Twenty-three studies were included in the systematic review, of which 19 were included in the meta-analysis (total pooled population: 258,283). The overall pooled prevalence of T2DM in Saudi Arabia was 16.4% (95% CI: 11.6-17.5). However, there was heterogeneity in the results of the studies [I2 = 99.31%, P < 0.0001] and the summary values varied from 3.18% (95% CI: 1.46-5.95) to 94.34% (95% CI: 89.53-97.38). Although the prevalence of T2DM by age varied across studies, in most studies, it was higher among the older age groups. In addition, the prevalence of diabetes widely varied across the different geographical regions of Saudi Arabia.

Conclusions

This is the first meta-analysis that determined the pooled prevalence of T2DM in Saudi Arabia, and it revealed a high prevalence over the past two decades. However, owing to data collection inconsistencies in the identified studies, neither the modifiable (such as obesity, educational status, emotional support, etc.) nor the non-modifiable (such as gender and age) risk factors of T2DM could be determined, thereby indicating the need for a nationally collective effort in determining these factors.

Effects of a health education technology program on long-term glycemic control and self-management ability of adults with type 2 diabetes: A randomized controlled trial

AIMS

This study aimed to explore the effects of a health technology education program on long-term glycemic control and the self-management ability of adults with type 2 diabetes (T2D).

METHODS

The study was a randomized controlled trial with repeated measures design. The experimental group (n = 53) received a novel health technologies education program plus focus groups and routine shared care, the control group (n = 55) received routine shared care. Glycosylated hemoglobin (HbA1c) level and self-management ability were the primary and secondary outcomes. Subject self-management ability was evaluated using the Chinese version of Perceived Diabetes Self-Management Scale (PDSMS). A linear mixed-effect model for repeated measures was used to analyze changes in HbA1c level and self-management ability after controlling for pretest effects.

RESULTS

The mean HbA1c levels in the experimental group decreased by 0.692% (7.564 mmol/mol) and 0.671% (7.332 mmol/mol) at 3 and 6 months after the intervention (p < 0.05) while the mean increase in the PDSMS scores at 3 and 6 months after the intervention were significantly higher than those in the control group (p < 0.05).

CONCLUSION

The health technology education program was more effective than routine shared care alone in lowering HbA1c and increasing self-management ability in T2D patients.

Glycemic control and associated factors among Iranian population with type 2 diabetes mellitus: a cross-sectional study

Purpose

Detection and modification of various factors such as life style, smoking and so on can significantly improve the glycemic control status. This study aimed to investigate glycemic control status and its relevant factors among patients with Type 2 DM.

Methods

In this cross-sectional study, the glycemic control status of patients with type 2 DM was investigated. In addition, relevant risk factors including demographic, clinical characteristics, self-care management behavior, medication adherence and laboratory data and their relationship with glycemic control status were assessed. Glycemic control status was defined as very good (HbA1c < 7%), good (HbA1c = 7-7.9%), poor (HbA1c = 8-9.9%) or extremely bad (HbA1c ≥ 10%).

Results

The present study included 562 patients (64.4% female). Most of the patients (37%) had poor glycemic control status. Microvascular complications especially diabetic neuropathy were the most common complications in our study. Glycemic control had significant relationship with level of education (p < .01) and occupation (p = .04). Among laboratory parameters, fasting plasma glucose (FPG) and total cholesterol levels were significantly lower in patients with desirable glycemic control (p < .05). The linear regression test showed that HbA1c had significant relationship with FPG (p < .01) and increasing one standard deviation in FPG can increase the level of HbA1c 0.014.

Conclusion

Glycemic control status in our study was very low and FPG was the strongest predictor of glycemic control status. Some other factors were also associated such as education level, occupation, type of treatment, diastolic blood pressure, the lipid profile and aspartate transaminase.