Diabetes Mellitus In Population Research Articles

Formulation and characterization of 5-fluorouracil and metformin biodegradable nanospheres for treating colon cancer

BackgroundCancer and diabetes mellitus are quite common diseases found together worldwide. A considerable amount of evidence is available for the rapid development and presentation of various types of cancer in the type 2 diabetes mellitus (DM2) population as compared with the population without diabetes. The objective of the study is to formulate and evaluate 5-fluorouracil (5-FU) and metformin (MET) nanoparticles (NPs) and to establish the characteristic features of the biodegradable NPs. 5-FU and MET NPs with chitosan as a biodegradable polymer were formulated by the ionotropic cross-linking method. 0.25 gm of MET and 0.25 gm of 5-FU were dissolved in 100 ml of distilled water, and stock solution was prepared. 5 ml of stock solution was slowly mixed into the chitosan solution to obtain the mixture of drugs and chitosan. The tripolyphosphate reserve liquid was dripped slowly into the chitosan solution with constant stirring until the opaline appearance was noticed in the mixture, then filtered, and dried. The NPs were evaluated for their physical properties and drug release kinetics. Cell proliferation assay was done using human colorectal carcinoma cell line (HCT 116).ResultsThe formulation composed of 1.5 w/v of chitosan, 0.25 w/v of MET, and 5-FU had an average particle diameter of 198.7 nm. The polydispersity index was 0.757. Thermal and infrared spectroscopy results indicated the drugs and polymers selected for the formulation were unique without any identifiable interaction. The NPs were spherical in appearance, with numerous pours on the surface, which was evident when microscopically examined. Uniformity in drug release was observed, and the formulation demonstrated excellent release kinetics. HTC 116 cell line confirmed that the maximum percentage of cell death and minimum viability of cells were observed while using the combination of MET and 5-FU-NPs as compared to the pure MET or 5-FU alone.ConclusionMET and 5-FU-loaded chitosan NPs were found to have excellent physiochemical properties, particle size, and drug release from the polymer in a controlled manner. Half-maximal inhibitory concentration value (IC50) of MET and 5-FU-NPs was found to be significantly less as compared to MET and 5-FU alone or the combination.

Glycaemic control is a modifiable risk factor for hepatocellular carcinoma and liver-related mortality in patients with diabetes.

Optimal glycaemic control has well-established health benefits in patients with diabetes mellitus (DM). It is uncertain whether optimal glycaemic control can benefit liver-related outcomes. To examine the association of optimal glycaemic control with hepatocellular carcinoma (HCC) and liver-related mortality. In a population-based cohort, we identified patients with newly diagnosed DM between 2001 and 2016 in Hong Kong. Optimal glycaemic control was defined as mean haemoglobin A1c (HbA1c) <7% during the 3-year lead-in period after DM diagnosis. By applying propensity score matching to balance covariates, we analysed glycaemic control via competing risk models with outcomes of interest being HCC and liver-related mortality. We identified 146,430 patients (52.2% males, mean age 61.4 ± 11.8 years). During a median follow-up duration of 7.0 years, 1099 (0.8%) and 978 (0.7%) patients developed HCC and liver-related deaths. Optimal glycaemic control, when compared to suboptimal glycaemic control, was associated with reduced risk of HCC (subdistribution hazard ratio [SHR] 0.70, 95% CI 0.61-0.79). The risk of HCC increased with incremental HbA1c increases beyond >7% (SHR 1.29-1.71). Significant associations with HCC were also found irrespective of age (SHR 0.54-0.80), sex (SHR 0.68-0.69), BMI <25 or ≥25 kg/m2 (SHR 0.63-0.75), smoking (SHR 0.61-0.72), hepatic steatosis (SHR 0.67-0.68) and aspirin/statin/metformin use (SHR 0.67-0.75). A lower risk of liver-related mortality in relation to optimal glycaemic control was also observed (SHR 0.70, 95% CI 0.61-0.80). Glycaemic control is an independent risk factor for HCC and liver-related mortality, and should be incorporated into oncoprotective strategies in the general DM population.

Study of Association of Calcium with Lipid Profile in Patients of Type 2 Diabetes Mellitus in Population of Udaipur

Introduction Many types of metabolic alterations are responsible for altering the metabolism related with the metabolic syndrome. The pathophysiology and the progression of the disease correlate well with the deranged reactions in the diseased states. There are particular roles of different minerals as far as the pathogenesis of the metabolic syndrome is concerned. The progress of the disorder is also correlated with the metabolism of different minerals. 5 . There are many minerals which hold significance and are significant in relation to the metabolic syndrome. These trace elements control the different functions like growth and biological functions3, 4.

Association between diabetes status and long-term outcomes following open and endovascular repair of infrarenal abdominal aortic aneurysms

ObjectiveCurrent literature reports conflicting findings regarding the effect of diabetes mellitus (DM) on outcomes of abdominal aortic aneurysm (AAA) repair. In this study we examined the effect of DM and its management on outcomes after open AAA repair (OAR) and endovascular AAA repair (EVAR). MethodsWe identified all patients undergoing OAR or EVAR for infrarenal AAA between 2003 and 2018 in the Vascular Quality Initiative registry data linked with Medicare claims. We excluded patients with missing DM status. Patients were stratified by their preoperative DM status, and then further stratified by DM management: dietary, noninsulin antidiabetic medications (NIMs), or insulin. Outcomes of interest included 1-year aneurysm sac dynamics, 8-year aneurysm rupture, reintervention, and all-cause mortality. These outcomes were analyzed with the χ2 test, Kaplan-Meier methods, and multivariable Cox regression analyses. ResultsWe identified 34,021 EVAR patients and 4127 OAR patients, of whom 20% and 16% had DM, respectively. Of all DM patients, 22% were managed by dietary management, 59% by NIM, and 19% by insulin. After EVAR, DM patients were more likely to have stable sacs, whereas non-DM patients were more likely to have sac regression at 1 year. Compared with non-DM, DM was associated with a significantly lower risk for 8-year rupture in EVAR (EVAR hazard ratio [HR], 0.68; 95% confidence interval [CI], 0.51-0.92). Compared with non-DM, NIM was associated with lower risk of rupture within 8-years for both EVAR and OAR (EVAR HR, 0.64; 95% CI, 0.44-0.94; OAR HR, 0.29; 95% CI, 0.41-0.80), whereas dietary control and insulin had a similar rupture risk compared with non-DM. However, compared with non-DM, DM was associated with a higher risk of 8-year all-cause mortality after EVAR and OAR (DM vs non-DM: EVAR HR, 1.17; 95% CI, 1.11-1.23; OAR HR, 1.16; 95% CI, 1.00-1.36). After further DM management substratification, compared with non-DM, management with NIM and insulin were associated with a higher 8-year mortality in EVAR and OAR (EVAR: NIM HR, 1.12; 95% CI, 1.05-1.20; insulin: HR, 1.40; 95% CI, 1.26-1.55; OAR: NIM HR, 1.27; 95% CI, 1.06-1.54; and insulin: HR, 1.57; 95% CI, 1.15-2.13). Finally, there was a similar risk of reintervention across the DM and non-DM populations for EVAR and OAR. ConclusionsDM was associated with a lower adjusted risk of rupture after EVAR as well as OAR in patients managed with NIM. Nevertheless, just as in patients without AAA, preoperative DM was associated with a higher adjusted risk of all-cause mortality. Further study is needed to evaluate for differences in aneurysm-related mortality between DM and non-DM patients, and studies are planned to evaluate the independent effect of NIM on aneurysm-related outcomes.

Effect of anti-diabetic agent on interstitial lung disease in patients with diabetes mellitus.

The objective was to assess the protective role of anti-diabetic agent (ADA) in predicting interstitial lung disease (ILD) among patients with diabetes mellitus (DM). We formed a cohort of DM patients between 2009 and 2016 using data from Taiwan. Univariable and multivariable Cox proportion hazards regression models were used to examine the effect of risk factor on the risk of developing ILD, presented as a hazard ratio (HR) with a 95% confidence interval (CI). Cox proportional hazard regression analysis for the risk of DM-associated ILD with joint effect of dipeptidyl peptidase-4 inhibitor (DPP4I), glucagon-like peptide-1 receptor agonist (GLP-1 RA), and sodium-glucose cotransporter 2 inhibitors (SGLT2I) showed that SGLT2I, GLP-1 RA, and DPP-4I had a decreased risk of ILD with adjusted HR of 0.14 (0.11, 0.18), 0.29 (0.24, 0.35), and 0.64 (0.62, 0.67), respectively. DPP4I, GLP-1 RA, and SGLT2I could be considered to be introduced to this DM population for ILD risk reduction in DM, especially with SGLT2I usage.

Anti-VEGF therapy for the long-term management of diabetic macular edema: a treat-to-target strategy based on macular morphology.

In an aging population, the prevalence and burden of diabetes mellitus, diabetic retinopathy, and vision-threatening diabetic macular edema (DME) are only expected to rise around the world. Similarly to other complications of diabetes mellitus, DME requires long-term management. This article aims to review the current challenges associated with the long-term management of DME, opportunities to improve outcomes for patients, and to develop a treat-to-target strategy based on macular morphology. At present, intravitreal anti-vascular endothelial growth factor (VEGF) therapy is the standard of care for the management of DME; however, best-achievable vision outcomes with treatment are reliant on frequent injections and close monitoring, which are difficult to maintain in current clinical practice because of the burden this imposes on patients. Achieving and maintaining good vision with treatment are the most important factors for patients with DME. Landmark trials have shown that vision gains with anti-VEGF therapy are typically accompanied by anatomical improvements (e.g., reductions in retinal thickness); therefore, multimodal imaging measures of macular morphology are often used in patients with DME to guide real-world treatment decisions. We would like to propose a hypothetical treat-to-target algorithm to guide physicians on treatment strategies for the long-term management of DME. Alternative measures of retinal fluid (e.g., persistence, stability, location) may be stronger predictors of visual acuity in DME, although further research is required to confirm whether alternate quantifiable biomarkers such as subretinal fluid and intraretinal fluid volumes can be used as a biomarker of clinical improvement. Identifying novel biomarkers and treatments that target neuroinflammation and neurodegeneration, improving patient-physician communication around treatment adherence, and using treat-to-target measures may help to ensure that the long-term benefits of treatment are realized.

Association of body iron stores and anemia in a Ghanaian type‐2 diabetes mellitus population: A multicentered cross‐sectional study

AbstractBackground and AimsAnemia has been a common comorbidity in most chronic diseases, but has not been well monitored in type 2 diabetes mellitus (T2DM) patients. In this study, we investigated the prevalence of anemia and its nexus with iron stores among T2DM patients in health facilities in the Ashanti Region of Ghana.MethodsThis multicenter cross‐sectional study recruited 213 T2DM out‐patients attending the diabetic clinics at the Kumasi South Hospital and St. Michaels Hospital, Jachie Pramso, Ghana, for routine check‐ups. Self‐reported questionnaires were used to collect sociodemographic, lifestyle, and clinical data from study participants. Blood samples were collected to estimate hematological parameters and iron stores. Mann–Whitney U test was used to assess the difference in hematological parameters and iron stores between anemic and nonanemic patients. All p &lt; 0.05 were considered statistically significant.ResultsOf the 213 T2DM participants, the prevalence of anemia was 31.9%. More females 145 (68.1%) were registered than males 68 (31.9%). Anemic patients had significantly lower levels of mean cell volume [79.30/fL vs. 82.60/fL, p = 0.001], mean cell hemoglobin [26.60/pg vs. 27.90/pg, p &lt; 0.0001], and mean cell hemoglobin concentration [33.10/g/dL) vs. 33.80/g/dL, p &lt; 0.0001] than those without anemia. Serum levels of ferritin (p = 0.1140), transferrin (p = 0.5070), iron (p = 0.7950), and total iron binding capacity (p = 0.4610) did not differ significantly between T2DM patients with or without anemia.ConclusionDespite the high prevalence of anemia among the T2DM patients in our cohort, patients present with apparently normal iron stores. This unrecognized mild anemia must be frequently monitored among T2DM patients.

New findings on the risk of hypertension from organophosphorus exposure under different glycemic statuses: The key role of lipids?

Background and objectiveConsidering the widespread use of organophosphorus pesticides (OPs) and the global prevalence of hypertension (HTN), as well as studies indicating that different glycemic statuses may respond differently to the biological effects of OPs. Therefore, this study, based on the Henan rural cohort, aims to investigate the association between OPs exposure and HTN, and further explores whether lipids mediate these associations. MethodsWe measured the plasma levels of OPs in 2730 participants under different glycemic statuses using gas chromatography-triple quadrupole mass spectrometry (GC–MS/MS). A generalized linear model, Quantile g-computation (QGC), adaptive elastic net (AENET), and Bayesian kernel machine regression (BKMR) models were used to assess the impact of OPs exposure on HTN, with least absolute shrinkage and selection operator (LASSO) penalty regression identifying main OPs. Mediation models were used to evaluate the intermediary role of blood lipids in the OPs-HTN relationship. ResultsThe detection rates for all OPs were high, ranging from 76.35 % to 99.17 %. In the normal glucose tolerance (NGT) population, single exposure models indicated that malathion and phenthoate were associated with an increased incidence of HTN (P-FDR < 0.05), with corresponding odds ratios (ORs) and 95 % confidence intervals (CIs) of 1.624 (1.167,2.260) and 1.290 (1.072,1.553), respectively. QGC demonstrated a positive association between OP mixtures and HTN, with malathion and phenthoate being the primary contributors. Additionally, the AENET model's Exposure Response Score (ERS) suggested that the risk of HTN increases with higher ERS (P < 0.001). Furthermore, BKMR revealed that co-exposure to OPs increases HTN risk, with phenthoate having a significant impact. Furthermore, triglycerides (TG) mediated 6.55 % of the association between phenthoate and HTN. However, no association was observed in the impaired fasting glucose (IFG) and type 2 diabetes mellitus (T2DM) populations. ConclusionsOur findings suggest that in the NGT population, OPs may significantly contribute to the development of HTN, proposing TG as a potential novel target for HTN prevention.

Impact of cardiorespiratory fitness and diabetes status on cardiovascular disease and all-cause mortality: An NHANES retrospective cohort study

High cardiorespiratory fitness (CRF) is associated with decreased mortality in people with pre-diabetes (pre-DM) and diabetes mellitus (DM); however, the degree to which CRF attenuates the risk of cardiovascular disease (CVD)-related and all-cause mortality is unclear. Study objectiveWe examined the impact of CRF status on CVD-related morbidity and all-cause mortality in non-DM, Pre-DM, and DM populations. Design and setting13,968 adults from the Third US National Health and Nutrition Examination Survey (NHANES III) were stratified into non-DM, pre-DM, or DM groups based on HbA1c levels. VO2Max was calculated using the Fitness Registry and Importance of Exercise: A National Database (FRIEND) equation. ParticipantsParticipants were categorized into tertiles of VO2Max; first VO2Max tertile was the lowest VO2Max and third VO2Max tertile was the highest. Main outcome measure(s)Cox regression was used to analyze the relationship between glycemic levels, VO2Max, and CVD-related and all-cause mortality. ResultsThose with DM in the highest fitness tertile had CVD (HR 0.13; 95 % CI 0.06, 0.27; p < 0.0001) and all cause (HR 0.28; 95 % CI 0.21, 0.38; p < 0.0001) mortality rates as low or lower than those with pre-DM (CVD HR 1.02; 95 % CI 0.78, 1.33 p < 0.892; all cause HR 0.96; 95 % CI 0.83, 1.12; p < 0.5496) or non-DM (CVD HR 0.65; 95 % CI 0.52, 0.80; p < 0.0001; all cause HR 0.61; 95 % CI 0.55, 0.68; p < 0.0001) at lower fitness levels. Regardless of DM status, there was lower all-cause mortality with higher CRF levels. ConclusionsHigher fitness levels in DM individuals are associated with total and CVD mortality rates as low or lower than those without DM with lower fitness.

Quality of Life and Its Association With Time in Range Among People With Type 2 Diabetes Mellitus Following Different Dietary Interventions: A Crossover Clinical Trial.

Background Quality of Life (QoL) is an essential consideration in healthcare. Numerous studies have examined QoL in India; however, data on QoL following different dietary interventions are lacking. Similarly, the use of technology such as continuous glucose monitoring (CGM) for diabetes care has independently demonstrated improvements in glycemic control; however, its association with QoL remains limited. Purpose The purpose was to study the role of different dietary interventions on QoL and its association with Time in Range (TIR), Time Above Range (TAR), and Time Below Range (TBR) among the Type 2 Diabetes Mellitus (T2DM) population. Methodology A crossover interventional clinical trial (CTRI/2022/07/044356) was conducted among participants with T2DM of less than 5 years' duration, aged between 25 and 55 years, with an HbA1c level of less than 8%, and who were on Metformin only. Their QoL was assessed after following two diet patterns: the Continuous Calorie Restricted Diet (CCRD) - calorie reduction with small frequent meals, and Time Restricted Intermittent Fasting (TRIF) - calorie reduction with only two meals a day, using the Modified QoL (MDQOL-17) questionnaire. The association between post-dietary interventions QoL and TIR was studied using a 14-day CGM device. Results The overall QoL of 51 participants at the end of the dietary interventions was significantly better compared to their QoL before any dietary intervention (85.6±19.0% and 63.1±13.0%, respectively, p = 0.000). Decreased TIR correlated with increased role limitations due to physical functioning (p = 0.002) and decreased energy levels (p = 0.00). As TBR increased, role limitation due to emotional well-being increased, and energy levels decreased significantly (p = 0.01). As TAR increased, energy levels decreased (p = 0.01). A simple linear regression model was statistically significant for role limitations due to physical functioning (p = 0.003) and energy fatigue (p = 0.000), suggesting that higher TIR is associated with higher scores in these domains. Conclusion Dietary interventions that improve the TIR and reduce the TAR and TBR can enhance the QoL of individuals with T2DM.

Correlation Between Serum Vitamin E and HOMA-IR in Patients with T2DM.

Peroxidation is one of the important causes of insulin resistance (IR), and vitamin E is a natural antioxidant, and there may be some correlation between serum vitamin E levels and insulin resistance. The correlation between serum vitamin E and insulin resistance in type 2 diabetes mellitus (T2DM) population. Two hundred and forty-two people (119 with T2DM) were included. One hundred and nineteen patients with T2DM were selected as the case group, and 123 people with non-T2DM were selected as the control group. People insulin resistance was detected by the homeostasis model assessment method (HOMA-IR) greater than 2.69 were included in the diabetic insulin resistance group, and those with HOMA-IR less than 2.69 were included in the diabetic non-insulin resistance group. Record the general body indicators, biochemical indicators, hepatic function indicators, vitamin E, and other indicators. Correlation analysis, logistic regression, trend analysis, and restricted cubic spline (RCS) were performed using SPSS 25.0 and R 4.1.1 software. Correlation analysis, logistic regression, trend analysis, restricted cubic spline (RCS) analysis were conducted on general body indicators, biochemical indicators, hepatic function indicators, vitamin E, and other indicators. The logistic regression results showed that after adjusting for confounding factors, vitamin E was an independent influencing factor for insulin resistance in T2DM patients (P < 0.001). The trend analysis results show that with the decrease of serum vitamin E levels, the risk of insulin resistance in T2DM patients gradually increases. The RCS results showed that the risk of insulin resistance was significantly increased when the serum vitamin E level was lower than 10,575.23 ng/mL. Serum vitamin E levels are lower in T2DM patients than in healthy populations; Vitamin E is an independent influencing factor for HOMA-IR in T2DM patients. The risk of insulin resistance gradually increases in T2DM patients as serum vitamin E levels decrease. Vitamin E is a risk factor for insulin resistance at serum vitamin E levels below 10,575.23 ng/mL. At higher serum vitamin E levels than 10,575.23 ng/mL, vitamin E is a protective factor for insulin resistance.

Metabolic and Clinical Outcomes in Type 1 Diabetes in the COVID-19 Pre- and Post-Vaccination Periods in Spain: The COVID-SED1 Study.

Aims: To evaluate the metabolic and clinical outcomes in the Spanish type 1 diabetes mellitus (T1D) population before and after COVID-19 vaccination. Methods: A retrospective observational study was carried out in Spanish public hospitals previously enrolled in the SED1 study. Adults and children with T1D were included and their clinical electronic records were reviewed. Clinical, laboratory, and glucometric parameters from continuous glucose monitoring (CGM) data corresponding to the periods before and after administering the first COVID-19 vaccination were analyzed. Results: A total of 26 centers and 228 patients participated in this new phase of the SED1 study and 187 were finally evaluable (mean age 37.5 ± 15.6 years, 56.7% women). Overall, 94.6% of the sample was vaccinated, and this percentage increased with higher levels of education (p-value = 0.027). In the pre- and post-vaccination periods, respectively, the number of patients with acute hyperglycemic decompensation was 6/161 (3.7%) and 7/161 (4.3%) (p = 1) and with acute hypoglycemic decompensation was 6/161 (3.7%) and 6/161 (3.7%) (p = 1). The HbA1c level was lower in the post-vaccination period(mean ± SD, mg/dL): pre-vaccination 7.4 ± 0.9; post-vaccination 7.2 ± 1.0, (-0.19; p-value = 0.0006). A total of 31.9% of patients (95% CI: 24.7-39.7) in the pre-vaccination period and 45.0% (IC95%: 37.1-53.1) in the post-vaccine period had HbA1c < 7% (p-value < 0.001). Glucometrics from CGM data also showed numerical improvements post-vaccination. Conclusions: The COVID-19 vaccination was highly accepted in the Spanish T1D population, with hesitancy about the COVID-19 vaccine being higher in those with lower educational levels. A mildly better glycemic control was observed in the post-vaccination period.

Risk of Cardiovascular Disease according to Baseline Low-Density Lipoprotein Cholesterol Level in Different Age Groups in Korean Diabetes Population: A Cohort Study.

The association between low-density lipoprotein (LDL-C) levels and cardiovascular disease (CVD) risk in different age groups within the diabetes mellitus (DM) population remains unclear. The cohort study was conducted to investigate this relationship. We assessed the 2009 to 2012 Korean National Health Screening and National Health Insurance Service records, with follow-up to the primary outcome (myocardial infarction [MI] or stroke) or December 2018. After excluding the participants with a history of MI or stroke, 2,227,394 participants with DM were included and categorized according to baseline LDL-C levels and age. Cox proportional hazards modeling was conducted. The CVD risk of age <40 years and LDL-C <70 mg/dL was set as the reference. In each age group, LDL-C <70 mg/dL was used as a reference for the subgroup analysis. The cut-off LDL-C value for increased MI risk in each age group varied (<40 years old, LDL-C ≥160 mg/dL: hazard ratios [HR], 2.03; 95% confidence interval [CI], 1.644 to 2.506) (40-49-year-old, LDL-C <115 mg/dL: HR, 1.245; 95% CI, 1.04 to 1.489) (50-59-year-old, LDL-C <115 mg/dL: HR, 1.21; 95% CI, 1.014 to 1.445) (60-69-year-old, LDL-C <145 mg/dL: HR, 1.229; 95% CI, 1.022 to 1.479) (≥70 years old group, LDL-C <100 mg/dL: HR, 1.238; 95% CI, 1.018 to 1.504). The cut-off LDL-C values for increased stroke risk varied in each age subgroup (<40 years old, LDL-C ≥160 mg/dL: HR, 1.395; 95% CI, 1.094 to 1.779) (40-49-year-old, LDL-C <145 mg/dL: HR, 1.13; 95% CI, 1.019 to 1.253) (50-59-year-old, LDL-C <160 mg/dL: HR, 1.079; 95% CI, 1.008 to 1.154) (60-69-year-old, LDL-C <130 mg/dL: HR, 1.07; 95% CI, 1.022 to 1.119) (≥70 years old, LDL-C <115 mg/dL: HR, 1.064; 95% CI, 1.019 to 1.112). The effect of LDL-C on the risk of CVD differs depending on the age of the population with DM.

Associations of the triglyceride-glucose index and atherogenic index of plasma with the severity of new-onset coronary artery disease in different glucose metabolic states

BackgroundThe triglyceride-glucose (TyG) index is considered a dependable biomarker for gauging insulin resistance. The atherogenic index of plasma (AIP) represents a marker reflecting atherosclerosis. However, there is currently no study specifically exploring the associations of these two biomarkers with the severity of new-onset coronary artery disease (CAD) under different glucose metabolic states. Therefore, this study aims to evaluate the correlations of these two biomarkers with CAD severity in patients newly diagnosed with CAD under various glucose metabolism conditions.MethodTotally 570 subjects first administered coronary angiography were enrolled, including 431 first diagnosed CAD patients and 139 non-CAD patients. CAD severity was gauged by the quantity of narrowed arteries (single-vessel and multi-vessel CAD). According to WHO diabetes guidelines, glucose metabolic states were divided into normal glucose regulation (NGR), pre-diabetes mellitus (Pre-DM), and diabetes mellitus (DM). The relationships of the TyG index and AIP with CAD severity were validated by logistic regression analysis, including adjustment for traditional cardiovascular risk elements and medical treatments. Their predictive efficacy for CAD was evaluated by receiver operating characteristic (ROC) curves.ResultThe TyG index and AIP were independently correlated with CAD in accordance with logistic regression analysis (both P < 0.05). Regardless of the glucose metabolic states, there was no statistical correlation between the TyG index and CAD severity. However, AIP in NGR patients was significantly related to CAD severity (P < 0.05). The areas under the curve of the TyG index and AIP for predicting CAD were 0.682 and 0.642 (both P < 0.001), respectively, and their optimal cut-off values were 3.210 (Youden index: 0.305) and 0.095 (Youden index:0.246), respectively.ConclusionThe TyG index and AIP have significant associations with CAD. The TyG index had no association with CAD severity, regardless of glucose metabolic states. AIP exhibited a discernible link with CAD severity in NGR patients, but not in the pre-DM or DM populations. The TyG index and AIP have similar predictive values for new-onset CAD.

Association Between the Water Distribution in the Human Body and 25-Hydroxyvitamin D Among the Type 2 Diabetes Mellitus Population: A Possible Pathway Between Vitamin D and Diabetic Nephropathy.

To explore the association between the water distribution in the human body and 25-hydroxyvitamin D among patients with type 2 diabetes mellitus (T2DM), and to analyze whether water distribution is a mediator between vitamin D and T2DM complications. In total, 533 T2DM inpatients were included from August 1, 2016 to April 1, 2023. Water distribution indicators, whether from the whole body, arms, trunk, or legs, were measured to calculate the association with vitamin D using linear regression analysis. Subgroups based on age, sex, body mass index, and macrovascular complications were established to clarify changes in the association between vitamin D and water distribution in different populations. Mediation analysis was applied to evaluate the correlation between vitamin D, water distribution, and T2DM complications. There was a negative correlation between 25-hydroxyvitamin D and the ratio of extracellular water (ECW)/total body water (TBW) both in the whole body (P=0.045, β=-0.008) and in certain parts. A U-shaped restricted cubic spline curve further presented an inflection point (approximately 23 ng/mL 25-hydroxyvitamin D) in the relationship between 25-hydroxyvitamin D and the ECW/TBW of the whole body. A negative correlation was observed between ECW/TBW and vitamin D in the obese subgroup (P=0.015, β=-0.038). In the total effect of vitamin D on diabetic nephropathy (DN), the mediation effect of ECW/TBW accounted for 15.44%. A correlation between vitamin D and water distribution was observed, and a high ECW/TBW was one of the pathways through which low vitamin D levels might affect DN.

P 035: Prevalence and risk factors of heart failure with preserve ejection fraction (HFPEF) in type 2 diabetes mellitus (T2DM) population in Hospital AL-Sultan Abdullah

P 035: Prevalence and risk factors of heart failure with preserve ejection fraction (HFPEF) in type 2 diabetes mellitus (T2DM) population in Hospital AL-Sultan Abdullah

Biomarkers of Pre-eclampsia in Pregnant Women With Gestational Diabetes and Pre-existing Type 2 Diabetes: A Systematic Review.

Pre-eclampsia (PE) is one of the leading causes of maternal and perinatal health morbidity, producing more than 4.6% of complications in pregnancy worldwide. This systematic review was conducted to determine the significance of specific biomarkers in predicting PE in gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (DM). The review measured and explained the significant abnormalities in lipids, blood glucose, cytokines, inflammatory markers, placental proteins, urinary proteins, and other serum biomarkers that contribute to the development of PE in GDM and type 2 DM populations. We searched CINAHL, EMBASE, Medline, Maternity and Infant care, Scopus, and Web of Science.Studies were included if they had a measurable component in the blood serum or urine of women who developed PE and suffered from GDM or pre-existing type 2 DM.A narrative synthesis was conducted instead of a meta-analysis due to the high heterogeneity of data from the studies. A total of 2,593 studies were screened, producing eight relevant studies. Twenty-seven different biomarkers were investigated from the study group of 40 to 1,344 participants. No single biomarker was identified; however, there is a need for further research on specific biomarkers of PE, especially in CRP, FABP4, and microalbuminuria in the GDM-PE group and calprotectin in the type 2 DM population.Many biomarkers were identified as practical in predicting PE when combined with other biomarkers and more data are required to verify the predictability of the diagnostic markers in pregnant women.

Hemoglobin is associated with BMDs and risk of the 10-year probability of fractures in patients with type 2 diabetes mellitus.

This study aimed to investigate the associations between hemoglobin (HGB) levels and bone mineral density (BMD) and fracture risk in type 2 diabetes mellitus(T2DM) population of different ages. This cross-sectional study included 641 patients with T2DM (57.9% males). BMD of the femoral neck (FN), total hip (TH), and lumbar spine (LS) were measured using dual-energy X-ray absorptiometry. The 10-year probability of fracture was assessed using a fracture risk assessment tool (FRAX). HGB and other biochemical indices were measured in a certified laboratory at our hospital. Statistical analysis was performed using SPSS 26.0 and R language (R version 4.1.0). Generalized additive models (GAMs) were used to identify the associations between HGB and BMD and fracture risk. Patients with osteoporosis have lower HGB levels than the non-osteoporotic population and lower FN BMD in patients with anemia than in the non-anemic population. In patients with T2DM, there was sex- and age-related variability in the correlation between HGB levels and BMDs and fracture risk. In older men, HGB level was an independent determinant of BMD and was positively correlated with FN and TH BMD. In non-older women, HGB level was an independent determinant of BMD and fracture risk, positively associated with BMDs and negatively associated with 10-year probability of fracture risk. GAMs revealed a positive linear association between HGB level and BMDs in non-older female patients but not in older male patients. Our study provides a new perspective on the association of HGB level and BMDs with fracture risk. Relatively high HGB levels are a protective factor for bone quality in patients with T2DM. However, the bone-protective effect of HGB is influenced by age and sex and persists only in older men and non-older women with T2DM.

Association between underweight and risk of heart failure in diabetes patients.

The risk of heart failure (HF) in underweight diabetes mellitus (DM) patients has rarely been studied. We conducted a cohort study to investigate the association between underweight (BMI<18.5kg/m2) and BMI change over time and the risk of HF in patients with type 2 DM. We utilized the health screening data from the National Health Insurance Service and the Korean National Health Screening database from 2009 to 2012, with follow-up until December 2018. Participants with DM were categorized into four groups based on their BMI at 4years before study inclusion and BMI at the study entry: (1) Always Normal Weight (BMI at 4years ago/BMI at study entry ≥18.5/≥18.5kg/m2, reference group); (2) Transitioned to Underweight (≥18.5/<18.5kg/m2); (3) Transitioned to Normal Weight (<18.5/≥18.5kg/m2) and (4) Always Underweight (<18.5/<18.5kg/m2). Participants were followed until the development of HF or at the end of the follow-up. Initial screening data included participants with DM who had the health screening during the study period (n=2,746,079). Participants aged <20years (n=390), those who did not undergo health examination 4years prior (n=1,306,520), and those with missing data (n=77,410) were excluded. Participants diagnosed with HF before study participation (n=81,645) and within 1year of study enrolment (n=11,731) were excluded. After applying exclusion criteria, 1,268,383 participants were finally included in the analysis. The primary outcome was the development of HF. We employed Cox proportional hazards models, adjusting for various confounding factors, to assess the risk of developing HF. Median follow-up duration was 6.88years and men were 63.16%. The mean ages of each groups were as follows: Always Normal Weight (57.92±11.64years), Transitioned to Underweight (62±13.5years), Transitioned to Normal Weight (56.6±15.29years) and Always Underweight (57.76±15.35years). In comparison with the Always Normal Weight group (n=1,245,381, HF=76,360), Transitioned to Underweight group (≥18.5/<18.5kg/m2, n=9304, HF=880, adjusted Hazard Ratio (aHR)1.389, 95% confidence interval (CI) 1.3-1.485) or Transitioned to Normal Weight (<18.5/≥18.5kg/m2, n=6024, HF=478, aHR 1.385, 95% CI 1.266-1.515) exhibited an increased risk of HF. The highest risk was observed in the Always Underweight group (<18.5/<18.5kg/m2, n=7674, HF=665, aHR 1.612, 95% CI 1.493-1.740). Underweight was significantly associated with the risk of HF in the DM population. Active surveillance for HF in an underweight DM population is needed.

Breathomics for diagnosing tuberculosis in diabetes mellitus patients.

Individuals with diabetes mellitus (DM) are at an increased risk of Mycobacterium tuberculosis (Mtb) infection and progressing from latent tuberculosis (TB) infection to active tuberculosis disease. TB in the DM population is more likely to go undiagnosed due to smear-negative results. Exhaled breath samples were collected and analyzed using high-pressure photon ionization time-of-flight mass spectrometry. An eXtreme Gradient Boosting (XGBoost) model was utilized for breathomics analysis and TB detection. XGBoost model achieved a sensitivity of 88.5%, specificity of 100%, accuracy of 90.2%, and an area under the curve (AUC) of 98.8%. The most significant feature across the entire set was m106, which demonstrated a sensitivity of 93%, specificity of 100%, and an AUC of 99.7%. The breathomics-based TB detection method utilizing m106 exhibited high sensitivity and specificity potentially beneficial for clinical TB screening and diagnosis in individuals with diabetes.