Diabetes Mellitus Medication Research Articles

Disparities in diabetes-related outcomes in prostate cancer patients - role of social determinants of health and race

Abstract Background Prostate cancer (PC) patients on androgen deprivation therapy (ADT) with diabetes mellitus (DM) are at increased risk of cardiovascular events (CVE) and all-cause mortality (ACM), with metformin use linked to lower ACM. Purpose To analyze the impact of low socioeconomic status (SES), low educational levels, and Non-Hispanic Black (NHB) race on the relationship between DM, and its treatments, and CVE, cardiovascular mortality (CVm), prostate cancer-specific mortality (PCsm), and ACM within 2 years of PC diagnosis in patients ± ADT. Methods We utilized SEER-Medicare (national database for individuals 65 or older covered under US federal health insurance program merged with multiple state cancer registries with ~50% US cancers covered) to study a cohort of PC patients diagnosed from 2009 to 2017, identifying PC cases with ICD-10 - C61 and DM via the Medicare chronic condition file. CVE included Afib, AMI, peripheral artery disease, ischemic stroke, and heart failure. Two patient cohorts were analyzed: those enrolled in Medicare Parts A and B with PC (cohort 1), and those exclusively on ADT (± diabetic medications) and enrolled in Medicare Part D (cohort 2). Outcomes were evaluated using Fine-Gray and Cox models, with further analysis by subgroups: NHB, SES, and education. Results We analyzed 74,052 PC patients, with 6,682 having comprehensive Part D data. Of these, 35% in cohort 1 and 16% in cohort 2 had DM, with median ages of 73 and 72, respectively. Diabetes was more prevalent among NHB men than Non-Hispanic White (NHW), 49% vs 33% in cohort 1 and 25% vs 15% in cohort 2. In cohort 1, 9% and 8.5% of overall and DM individuals were on ADT. Risk factor details are in Table 1, and CVE, CVm, PCsm, and ACM are included in Table 2, showing higher risks of various cardiovascular outcomes for DM patients, particularly for those with low-education levels. In cohort 1, we demonstrated a higher risk of all outcomes across all subgroups with DM (p<0.001). No significant interaction with race was present except in those with lower education levels, where NHW men with lower education showed an increased risk of CVE (sHR 1.15, 95%CI 1.10-1.21, P<0.001). In cohort 2, compared to metformin, the use of all other DM medications was associated with higher ACM. Additionally, those on other DM medications with lower education levels had higher CVE rates. Non-DM individuals with low SES had lower CVE rates, while NHB non-DM individuals had higher PCsm. Conclusion Our study highlights disparities in PC patients with DM in relation to cardiovascular and ACM, with NHB men and those with lower SES and educational status having worse outcomes. Metformin use in patients with low education levels was associated with reduced ACM and CVE risk, indicating its potential protective effect. These findings emphasize the need for further research on the disparities in PC and effects of diabetes medications across different subpopulations.

Hubungan Tingkat Pengetahuan Dengan Kepatuhan Minum Obat Diabetes Mellitus (DM) Pada Penderita Diabetes Mellitus (DM) Di Rw 18 Kelurahan Pedurenan Kota Bekasi Tahun 2023

This study discusses the importance of knowledge about diabetes in shaping patients' attitudes and behaviors toward disease control, particularly in terms of diabetes medication consumption. Good knowledge allows patients to better understand their condition, leading to greater adherence to prescribed treatments. The purpose of this research is to examine the relationship between the level of knowledge and adherence to taking Diabetes Mellitus (DM) medication among patients in RW 18, Pedurenan Village, Bekasi City in 2023. The research method used a quantitative approach with an observational analytic design and a cross-sectional approach, involving a sample of 106 respondents selected through purposive sampling. The results show a significant relationship between the level of knowledge and adherence to taking medication, with a p-value of 0.000 (less than alpha 0.05). In conclusion, there is a strong correlation between patients' knowledge levels and their adherence to taking DM medication in RW 18, Pedurenan Village, Bekasi in 2023.

Extended duration linagliptin nanoparticles: a novel, safe and effective future of diabetes treatment?

Dear Editor, Diabetes Mellitus (DM), a chronic disease characterised by hyperglycaemia caused by either underproduction of insulin or defective insulin action, has become more prevalent globally; affecting 1 in every 10 adults over the past years with type 2 diabetes being more common in the low- and middle-income countries and type 1 in high-income countries (1). Pakistan, being a lower-middle-income country, has a 26.7% prevalence of diabetes and age-adjusted comparative prevalence of 30.8% affecting 1 in approximately every 4th adult (2). The current guidelines for the management of diabetes include insulin, metformin, sulfonylureas, and sodium-glucose co-transporters type 2 (SGLT-2) inhibitors. However, hypoglycaemia, weight gain, gastrointestinal problems and contraindication of their use in patients with pre-existing renal diseases pose problems for clinicians. Poor patient compliance in following the regular antidiabetic regimen also make treatment plans ineffective. Thus, newer drugs are constantly being researched (3). Metformin has been an excellent treatment option with only a slight risk for some specific patients to develop lactic acidosis. It is the most commonly prescribed medication for DM. Another drug, Linagliptin (Lina) was approved by the FDA in 2011 as an effective dipeptidyl peptidase inhibitor for the treatment of DM. It has been used as monotherapy and in combination with dapagliflozin, an SGLT2 inhibitor, for the treatment of diabetes in patients with a history of metformin therapy. However, its use was limited due to its low bioavailability (4). Recent research suggests that the extended duration (ED) Lina via the use of poly d, l-lactic-co-glycolic acid (PLGA) polymers in nanoparticle form could be beneficial in the management of type 2 DM. It has an increased bioavailability, fewer reported side effects and a reduced need for regular dosage. Furthermore, the use of nanoparticles facilitates a targeted delivery of the drug which may omit the pain that is caused by the use of implants (5). Lina is also thought to be effective in Type 3 Diabetes which causes Alzheimer’s disease. As dementia can lead to forgetting to take medications regularly, the ED Lina, which is taken once weekly, may be a suitable option. This new formulation is being considered for its better safety profile compared to other antidiabetics and its effectiveness in controlling HbA1C both as monotherapy and in combination therapy (4,6) ---Continue

EFEKTIVITAS SEDUHAN DAUN ASAM JAWA TERHADAP KADAR HOMA-IR DAN HOMA-β PADA PASIEN DIABETES MELLITUS TIPE 2

This study assessed the impact of tamarind leaf tea on HOMA-IR and HOMA-β levels in patients with Type 2 Diabetes Mellitus (DM). Thirty-two patients aged 20-50 years from Sungai Ambawang District Health Center, who were not using any DM medication, participated. They were divided into control (KN) and treatment (KP) groups, with KP receiving a tamarind leaf tea infusion for 7 days. HOMA-IR and HOMA-β levels were calculated using standardized formulas based on fasting insulin and glucose levels. The Wilcoxon signed-rank test revealed a significant decrease in HOMA-IR levels in the KP group (p<0.05), while no significant change was observed in the KN group. Although no significant difference in HOMA-β levels was found between the two groups, the KP group showed a notable increase by 4. These findings suggest that a 7-day tamarind leaf tea infusion effectively reduced HOMA-IR levels in patients with type 2 DM, although it did not significantly affect HOMA-β levels. This study highlights the potential of tamarind leaf tea as a complementary approach for managing insulin resistance in Type 2 DM patients. Further research is needed to explore the long-term effects and mechanisms of action for improving β-cell function. The conclusion of this study is that steeping tamarind leaves for seven days can reduce HOMA-I levels and slightly increase HOMA-β levels in patients with type 2 Diabetes Mellitus.

Evaluation of Medication Adherence Among Prevalent Users in Hypertension, Dyslipidemia, and Diabetes Using Health Insurance Claims: A Population-Based Cohort Study in Japan.

Hypertension (HT), dyslipidemia (DL), and diabetes mellitus (DM) are major risk factors for cardiovascular diseases. Despite the wide availability of medications to reduce this risk, poor adherence to medications remains an issue. The aim of this study is to evaluate medication adherence of prevalent users in these disease medications (HT, DL, DM) using claims data. Factors associated with non-adherence were also examined. Of 7538 participants of the Tsuruoka Metabolomics Cohort Study, 3693 (HT: 2702, DL: 2112, DM: 661) were identified as prevalent users of these disease medications. Information on lifestyle was collected through a questionnaire. Adherence was assessed by a proportion of days covered (PDC) and participants with PDC ≥0.8 were defined as adherent. Predictors of non-adherence were determined by performing multivariable logistic regression. Medication adherence differed by treatment status. Among those without comorbidities, those with HT-only showed the highest adherence (90.2%), followed by those with DM-only (81.2%) and those with DL-only (80.8%). Factors associated with non-adherence in each medication group were skipping breakfast and poor understanding of medications among those with HT medications, females, having comorbidities, having a history of heart disease, and drinking habit among those with DL medications, and good sleep quality and skipping breakfast among those with DM medications. While participants showed high medication adherence, differences were observed across medication groups. The identified predictors of non-adherence could help target those in need of adherence support.

Ellagic acid as potential therapeutic compound for diabetes and its complications: a systematic review from bench to bed.

Diabetes mellitus (DM) is a worldwide-concerning disease with a rising prevalence. There are many ongoing studies aimed at finding new and effective treatments. Ellagic acid (EA) is a natural polyphenolic compound abundant in certain fruits and vegetables. It is the objective of this investigation to assess the effectiveness and preventive mechanisms of EA on DM and associated complications. This systematic review used PubMed, Scopus, and Google Scholar as search databases using a predetermined protocol from inception to June 2024. We assessed all related English studies, including in vitro, in vivo, and clinical trials. EA counteracted DM and its complications by diminishing inflammation, oxidative stress, hyperglycemia, apoptosis, insulin resistance, obesity, lipid profile, and histopathological alterations. Several mechanisms contributed to the anti-diabetic effect of EA, the most significant being the upregulation of nuclear factor erythroid 2-related factor 2 (Nrf2), heme oxygenase-1 (HO-1), peroxisome proliferator-activated receptor gamma (PPAR-γ), protein kinase B, and downregulation of nuclear factor-kappa-B (NF-κB) gene expression. EA also revealed protective effects against diabetes complications, such as diabetic-induced hepatic damage, testicular damage, endothelial dysfunction, muscle dysfunction, retinopathy, nephropathy, cardiomyopathy, neuropathy, and behavioral deficit. Administration of EA could have various protective effects in preventing, treating, and alleviating DM and its complications. Although it could be considered a cost-effective, safe, and accessible treatment, to fully establish the effectiveness of EA as a medication for DM, it is crucial to conduct further well-designed studies.

Evaluating diabetes care in primary healthcare centers in Abuja, Nigeria: a cross-sectional formative assessment

IntroductionNoncommunicable diseases (NCDs) are associated with high and rising burden of morbidity and mortality in sub-Saharan Africa, including Nigeria. Diabetes mellitus (DM) is among the leading causes of NCD-related deaths worldwide and is a foremost public health problem in Nigeria. As part of National policy, Nigeria has committed to implement the World Health Organization (WHO) Package of Essential Non-communicable Disease interventions for primary care. Implementing the intervention requires the availability of essential elements, including guidelines, trained staff, health management information systems (HMIS), equipment, and medications, in primary healthcare centers (PHCs). This study assessed the availability of the DM component of the WHO package, and the readiness of the health workers in these PHCs to implement a DM screening, evaluation, and management program to inform future adoption and implementation.MethodsThis cross-sectional formative assessment adapted the WHO Service Availability and Readiness Assessment (SARA) tool to survey 30 PHCs selected by multistage sampling for readiness to deliver DM diagnosis and care in Abuja, Nigeria, between August and October 2021. The SARA tool was adapted to focus on DM services and the availability and readiness indicator scores were calculated based on the proportion of PHCs with available DM care services, minimum staff requirement, diagnostic tests, equipment, medications, and national guidelines/protocols for DM care within the defined SARA domain.ResultsAll 30 PHCs reported the availability of at least two full-time staff (median [interquartile range] = 5 [4–9]), which were mostly community health extension workers (median [interquartile range]) = 3 [1–4]. At least one staff member was recently trained in DM care in 11 PHCs (36%). The study also reported high availability of paper-based HMIS (100%), and DM screening services using a glucometer (87%), but low availability of DM job aids (27%), treatment (23%), and national guidelines/protocols (0%).ConclusionThis formative assessment of PHCs’ readiness to implement a DM screening, evaluation, and management program in Abuja demonstrated readiness to integrate DM care into PHCs regarding equipment, paper-based HMIS, and nonphysician health workers' availability. However, strategies are needed to promote DM health workforce training, provide DM management guidelines, and supply essential DM medications.

Uncontrolled diabetes mellitus and the progression of monoclonal gammopathy of undetermined significance to multiple myeloma in US veterans.

7551 Background: Studies have shown that, independent of obesity, the metabolic effects of diabetes mellitus (DM) promote the progression of monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM). However, it is unclear whether glycemic control is associated with MGUS progression in DM patients. We aimed to evaluate the association between poor glycemic control, measured by HbA1c >6.5%, and progression. Methods: Patients diagnosed with MGUS from 1999-2021 in the Veterans Health Administration (VHA) were identified using a published natural language processing (NLP)-based algorithm. We focused on patients whose MGUS subtype was IgG, IgA, or light chain. We excluded patients lacking body weight measurements from the time of MGUS diagnosis to the end of follow-up to ensure receiving care in the VHA. We further excluded patients with extended gaps >1 year between HbA1c measurements. Time-varying HbA1c measurements during the follow-up, evaluated at 1-day intervals and categorized into uncontrolled (HbA1c >6.5%) or controlled (≤6.5%) DM was the exposure variable. Progression of MGUS to MM was also confirmed by a published NLP algorithm. The association between the time-varying controlled/uncontrolled DM and progression was estimated by multivariable-adjusted hazard ratio (aHR) with death as a competing event. The covariates included sex, race, MGUS subtype as well as age, body mass index, monoclonal protein level, Charlson Comorbidity Index, DM medication, and DM type (type 1, type 2 with insulin-dependency status, type 2 without insulin-dependency status), all at MGUS diagnosis. Same analysis was conducted in a subgroup of patients with non-insulin dependent DM type 2 (NIDDMT2) without insulin use between MGUS diagnosis and the end of follow-up. Results: After applying inclusion and exclusion criteria, we identified 9,682 patients with both DM and MGUS. The multivariable analysis revealed a positive association between poor glycemic control and MM progression (see Table): (aHR 1.27, 95% CI 1.13-1.42). In NIDDMT2 without insulin use (n=3,498), poor glycemic control was associated with MM progression (aHR 1.81; 95% CI 1.57-2.10). Conclusions: For patients with DM and MGUS, the risk of MGUS progression to MM was 27% higher in uncontrolled DM and 81% higher in patients with NIDDMT2. This finding highlights a modifiable risk factor for MM progression in MGUS patients. Future studies should examine if interventions to enhance glycemic control could potentially reduce MGUS progression.

Evaluation of systemic medications associated with diabetic retinopathy: a nested case–control study from the UK Biobank

AimsThis study aims to investigate the associations between commonly used systemic medications and diabetic retinopathy (DR).MethodsIndividuals with linked primary care prescription data from the UK Biobank were included. Cases were...

Chronic Kidney Disease Study in Diabetic Patients: Insights From Primary Care Units in Northern Portugal.

Introduction Diabetes mellitus (DM) remains a primary cause of morbidity and mortality, leading to complications such as blindness, kidney failure, and lower limb amputations. Early detection of kidney damage, indicated by microalbuminuria (MA), is crucial for managing DM. Given the impact of these conditions, evaluating the prevalence of chronic kidney disease (CKD) in diabetic populations within primary healthcare is essential. Methodology This was a cross-sectional and observational study. Adults diagnosed with DM type 1 or 2, from five primary care units (PCUs) located in the North of Portugal, were included in this study.Descriptive and correlational statistics were performed using IBM SPSS Statistics for Windows, Version 28.0 (IBM Corp., Armonk, NY).Statistical significance was set to P< 0,05. Logistic regression models were created to identify the factors associated with CKD and DM. Results A sample of 357 diabetic patients was obtained, with 166 (46.5%) females. Of the sample, 250 (70.1%) were aged 65 or older, and the median known duration of DM was 9.36 years. Excess weight or obesity accounted for 79.8%, with a median body mass index of 28.73 kg/m2and hypertension in 284 (79.6%). An estimated glomerular filtration rate (eGFR) less than 60 mL/min was present in 89 (24.9%) and an MA of 30 mg/dL or higher was present in 68 (19.0%). In total, 130 (36.4%) individuals exhibited eGFR and MA consistent with CKD. Among these, 25 (78.1%) had other identifiable causes of CKD besides DM, hypertension, overweight, or obesity. Binary logistic regression models were constructed to find a relationship between CKDwith eGFR < 60 mL/min and MA. A statistically significant association was found between CKD with eGFR < 60 mL/minute and age (odds ratio [OR] = 1.150; P< 0.001), kidney stones (OR = 5.112; P= 0.003), absence of excess weight or obesity (OR = 0.267; P< 0.001). The use of GLP1 agonists showed statistical significance as a predictor (OR = 4.653; P= 0.042) of the presence of MA. Discussion The study investigates the impact of DM and its complications in the surveyed population. While most patients had controlled DM (284, 76.2%), prolonged disease duration correlated with poorer glycemic control, underscoring the need for more effective management strategies in advanced disease stages. Notably, a third of individuals with DM had CKD, with significant implications for therapeutic interventions and heightened risks of renal failure and cardiovascular morbidity. MA was a crucial marker for endothelial injury, with prevalence influenced by DM duration and medication type. However, in many cases, correct identification of CKD was lacking, suggesting under-recognition of renal deterioration in DM. While the study offers valuable insights, its limited sample size and geographic scope warrant cautious interpretation, emphasizing the need for broader, context-specific research to inform comprehensive healthcare strategies. Conclusions In conclusion, this study highlights the significant burden of CKD among diabetic patients, emphasizing the need for proactive screening, personalized management, and accurate diagnosis. Despite limitations, it underscores the importance of early detection and tailored interventions, advocating for improved diabetes care to mitigate renal complications on a broader scale.

Chinese herbal medicine decreases incidence of hepatocellular carcinoma in diabetes mellitus patients with regular insulin management.

Type 2 diabetes mellitus (DM) is an independent risk factor for hepatocellular carcinoma (HCC), while insulin is a potent mitogen. Identifying a new therapeutic modality for preventing insulin users from developing HCC is a critical goal for researchers. To investigate whether regular herbal medicine use can decrease HCC risk in DM patients with regular insulin control. We used data acquired from the Taiwanese National Health Insurance research database between 2000 and 2017. We identified patients with DM who were prescribed insulin for > 3 months. The herb user group was further defined as patients prescribed herbal medication for DM for > 3 months per annum during follow-up. We matched the herb users to nonusers at a 1:3 ratio according to age, sex, comorbidities and index year by propensity score matching. We analyzed HCC incidence, HCC survival rates, and the herbal prescriptions involved. We initially enrolled 657144 DM patients with regular insulin use from 2000 to 2017. Among these, 46849 patients had used a herbal treatment for DM, and 140547 patients were included as the matched control group. The baseline variables were similar between the herb users and nonusers. DM patients with regular herb use had a 12% decreased risk of HCC compared with the control group [adjusted hazard ratio (aHR) = 0.88, 95%CI = 0.80-0.97]. The cumulative incidence of HCC in the herb users was significantly lower than that of the nonusers. Patients with a herb use of > 5 years cumulatively exhibited a protective effect against development of HCC (aHR = 0.82, P < 0.05). Of patients who developed HCC, herb users exhibited a longer survival time than nonusers (aHR = 0.78, P = 0.0001). Additionally, we report the top 10 herbs and formulas in prescriptions and summarize the potential pharmacological effects of the constituents. Our analysis indicated that Astragalus propinquus (Huang Qi) plus Salvia miltiorrhiza Bunge (Dan Shen), and Astragalus propinquus (Huang Qi) plus Trichosanthes kirilowii Maxim. (Tian Hua Fen) were the most frequent combination of single herbs. Meanwhile, Ji Sheng Shen Qi Wan plus Dan Shen was the most frequent combination of herbs and formulas. This large-scale retrospective cohort study reveals that herbal medicine may decrease HCC risk by 12% in DM patients with regular insulin use.

The Implication of Diabetes-Specialized Nurses in Aiming for the Better Treatment and Management of Patients with Diabetes Mellitus: A Brief Narrative Review.

Diabetes mellitus (DM) is regarded as one of the most critical public health challenges of the 21st century. It has evolved into a burgeoning epidemic since the last century, and today ranks among the major causes of mortality worldwide. Diabetes specialist nurses (DSNs) are central to good patient care and outcomes including confident self-care management. Evidence shows that DSNs are cost-effective, improve clinical outcomes, and reduce length of stay in hospital. In this brief narrative review, we aim to describe the roles of DSNs and their contribution in the treatment and management of patients with DM. This narrative review describes the importance of DSNs in healthcare practice, in the inpatient and outpatient departments, in the pediatrics department, in managing diabetic foot ulcers, in the treatment and management of gestational diabetes, in prescribing medications for DM and in diabetes self-management education on glycosylated hemoglobin, and cardiovascular risk factors. To conclude, DSNs have a crucial role in the treatment and management of patients with DM and its complications. DSNs have a great impact on diabetes therapy, and hence implementation of DSNs and nurse-led diabetic clinics might be beneficial for the health care system. Finally, having DSNs might significantly contribute to good healthcare practice and support. Even though DSNs are not available in several regions around the globe, and even though this post is still new to several health care institutions, the presence of DSNs recognized and certified by the various healthcare systems would be very useful.

Prior authorization for diabetes medications: Clinical outcomes and health disparities

BackgroundPrior authorization (PA) is a utilization management strategy used by health plans to ensure affordable, cost-effective care; however, PA may lead to therapy delay/abandonment and exacerbate health disparities. The purpose of this observational study was to assess the clinical outcomes and any health disparities associated with PA for diabetes mellitus (DM) medications. Materials and methodsThis was a cohort study of US adult patients from health plans with integrated and non-integrated system providers who were prescribed a DM medication that required a PA. Patients were categorized into three groups: received the requested DM medication (PA Med) or a new, alternative DM medication (DM Med), or did not receive the requested or new DM medication (No Med). The primary outcome was change in hemoglobin A1c (HbA1c). Adjusted and unadjusted analyses were performed. Patient characteristics associated with the No Med group were identified, also, with multivariable logistic regression modeling. Results6305 patients were included: 2434, 1323, and 2548 in the PA Med, DM Med, and No Med groups, respectively. Patients in the PA Med (−0.9 %) and DM Med (−1.0 %) groups had statistically significantly greater reductions in HbA1c compared to the No Med group (−0.4 %) in both unadjusted and adjusted analyses (all p < 0.05). Patients who were Hispanic/Latino, had a non-integrated system prescriber, and had a higher burden of chronic disease were statistically significantly associated with the No Med group. ConclusionsReceiving a new DM medication following PA was associated with better clinical outcomes but health disparities were present in the PA process.

Abstract 14915: Role of Diabetes and Diabetic Medication in Cardiovascular Events and Survival Among Older Men With Prostate Cancer on Androgen Deprivation Therapy: Longitudinal SEER Medicare Analysis

Introduction: The effect of diabetes mellitus (DM) and DM therapy on cardiovascular events (CVE) in patients with prostate cancer (PC) undergoing androgen deprivation therapy (ADT) is unclear in the contemporary era. Methods: Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database, we identified males ≥ 66-year-old with a new primary diagnosis of PC undergoing leuprolide therapy (ADT) between 2009-2017. These patients were followed for two years to identify a primary outcome of CVE that included heart failure (HF), atrial fibrillation (AF), acute myocardial infarction (AMI), peripheral artery disease (PAD), coronary artery disease (CAD), ischemic stroke (IS) and cardiovascular death. DM medications identified using part D data for this analysis were metformin, insulin, and other orals based on FDA approval dates until 2017. Adjusted Cox proportional hazards modeling was performed to estimate all-cause mortality in PC patients stratified by DM and among those with DM and on different therapies. Adjusted Fine-Gray modeling with appropriate competing risk (mortality or type of mortality) was utilized for other outcomes as presented. We adjusted for demographic factors, social determinants of health, cancer-specific factors, and other cardiovascular risk factors apart from the primary exposure of DM. Results: This study included 9,072 PC patients. Among these 2,822 (31.1%) had DM, and 5,105 (56.3%) had cardiovascular disease prior to PC diagnosis. New CVE was diagnosed in 619 (6.8%; HF = 144, AF = 107, AMI = 40, PAD = 132, CAD = 226, IS = 66) patients in a 2-year period after the PC diagnosis. DM was noted to be a risk factor for CVE [adjusted subdistribution hazards ratio (aSHR) = 1.22 (95% CI= 1.07-1.44)]. The effect of DM and DM medication on mortality is presented in Table 1. Conclusion: PC patients on ADT with DM have a higher risk of CVE and all-cause mortality. Metformin use is associated with reduced all-cause mortality.

Abstract 14560: Diabetes Mellitus and Hypertension Subtypes in Relation to Cardiovascular and All-Cause Mortality

Background: Diabetes mellitus (DM) is associated with increased arterial stiffness indicated by isolated systolic hypertension (ISH). Whether this relates to greater cardiovascular disease (CVD) mortality remains unclear. We compare by DM status the association of hypertension subtypes with CVD and all-cause mortality. Methods: We included data from the National Health and Nutrition Examination Survey 1999-2008 with mortality follow-up until 2018. We used systolic and diastolic blood pressure cut points of 130 and 80 mmHg to define ISH, isolated diastolic hypertension (IDH), and systolic diastolic hypertension (SDH) with DM based on self-report, glucose ≥126 mg/dL if fasting or ≥200 mg/dL if non-fasting, use of DM medications or insulin, or HbA1c≥6.5%. The incidence of CVD and all-cause mortality was examined among hypertensive subtypes (vs. normotension) using Cox regression, adjusting for age, ethnicity, gender, tobacco use, dyslipidemia, and use of antihypertensive agents. Results: 23,198 individuals (projected to 194 million) were included of which 14% had DM (projected to 19 million). In those with vs. without DM, 40% vs. 60% were normotensive, 5% vs. 9% had IDH, 39% vs. 18% had ISH, and 16% vs. 13% had SDH (p&lt;0.001). Adjusted analyses showed increased risk of CVD and all-cause mortality with ISH and IDH in patients with and without DM. IDH was significantly associated with increased CVD and all-cause mortality in individuals with DM but not in individuals without DM (p&lt;0.0001 for interaction comparing the relation of subtypes with mortality endpoints by DM status). Conclusions: All hypertension subtypes were significantly associated with increased CVD and all-cause mortality in patients with DM, whereas in patients without DM only ISH and SDH carried increased mortality risk. The strength of association was also significantly greater in patients with DM.

Risk factor analysis for cisplatin-induced nephrotoxicity with the short hydration method in diabetic patients

The occurrence of cisplatin (CDDP)-induced nephrotoxicity (CIN) has decreased with advancements in supportive care. In contrast, we reported that baseline diabetes mellitus (DM) complications significantly worsen CIN. This study aimed to determine further risk factors associated with CIN development in DM patients. Patients with thoracic cancer requiring DM pharmacotherapy, who received CDDP (≥ 60 mg/m2)-containing regimens using the short hydration method (n = 140), were enrolled in this retrospective multicenter observational study. The primary endpoint of the present study was the elucidation of risk factors (patient factors, DM medication influence, and treatment-related factors) associated with CIN development in patients with DM. Cisplatin-induced nephrotoxicity occurred in 22.1% of patients with DM. The median worst variation of serum creatinine levels and creatinine clearance (worst level − baseline level) was 0.16 mg/dL (range: − 0.12–1.41 mg/dL) and − 15.9 mL/min (− 85.5–24.3 mL/min), respectively. Multivariate logistic regression analyses identified female sex as the singular risk factor for CIN development in the DM population (adjusted odds ratio; 2.87, 95% confidence interval; 1.08–7.67, P = 0.04). Diabetes mellitus medication and treatment-related factors did not affect CIN development. In conclusion, our study revealed that female sex is significantly associated with CIN development in patients with DM and thoracic cancer.

THU327 Characterization Of New Onset Diabetes Mellitus Concurrent With COVID-19; A Single Institution Experience

Abstract Disclosure: T. Haque: None. M. Gaddis: None. R. Asad: None. S. Simon: None. B.M. Drees: None. Objective: The global pandemic of novel SARS-COV2 virus causing Covid-19 infection, is reported to lead to development of new onset diabetes mellitus (DM). This study describes the types of DM following Covid-19 infection, the patient characteristics and the disease course up to 12 months. Methods: A database of patients with DM treated at the institution was searched for a positive PCR Covid-19 test between March 1, 2020, and November 30, 2021. Charts were manually reviewed for diagnosis of co-morbidities, laboratory results, medications, disposition, and verification of type of DM. Outcomes data were collected at 0, 6, and 12 months. Results: Among 1643 Covid-19 positive patients with DM, 96 were diagnosed with new onset DM. There were 42% Black, 24% White, and 23% Hispanic; 94 had type 2 DM and two had type 1 DM. Average age was 50; half were women. Patients with more severe Covid (inpatient and ER visits) were more likely to require insulin, multiple DM medications, and had higher HbA1c levels. Insulin use and multiple DM medications decreased over time (25% and 25% at diagnosis; 10% and 18% at 12 months, respectively). HbA1c decreased over time (9.1% at diagnosis and 7.3% at 12 months). One-year follow-up was available on 73 patients, of whom 19 were on no medications for DM. Conclusion: New onset diabetes mellitus following Covid-19 infection is common and predominantly type 2 DM. However, glucose levels tend to improve over time requiring less medication, with 26% requiring no DM medications at one year. Presentation: Thursday, June 15, 2023

Procyanidins: A promising anti-diabetic agent with potential benefits on glucose metabolism and diabetes complications.

Diabetes mellitus (DM) is a complex disease with alarming worldwide health implications and high mortality rates, largely due to its complications such as cardiovascular disease, nephropathy, neuropathy, and retinopathy. Recent research has shown that procyanidins (PC), a type of flavonoid, have strong antioxidant and free radical elimination effects, and may be useful in improving glucose metabolism, enhancing pancreatic islet cell activity, and decreasing the prevalence of DM complications. This review article presents a systematic search for peer-reviewed articles on the use of PC in the treatment of DM, without any language restrictions. The article also discusses the potential for PC to sensitise DM medications and improve their efficacy. Recent in vivo and in vitro studies have demonstrated promising results in improving the biological activity and bioavailability of PC for the treatment of DM. The article concludes by highlighting the potential for novel materials and targeted drug delivery methods to enhance the pharmacokinetics and bioactivity of PC, leading to the creation of safer and more effective anti-DM medications in the future.

Dipeptidyl peptidase IV inhibitors and the risk of mycobacterial pulmonary infections in type 2 diabetes mellitus

BackgroundType 2 diabetes mellitus (DM) is a risk factor for mycobacterial pulmonary infections (MPI), including tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD). Dipeptidyl peptidase IV inhibitor (DPP4i), a common DM medication, has an immune-modulation effect that raises concerns about developing MPI. However, there is scarce research on the topic. MethodsThis retrospective study was conducted in a tertiary-referral center in Taiwan from 2009 to 2016. Patients with type 2 DM who were receiving any DM medication were enrolled. TB and NTM-LD were defined by microbiological criteria. We analyzed the risk of MPI in DPP4i users using Cox proportional hazard regression with adjusted inverse probability of treatment weighting. ResultsA total of 9963 patients were included. Among them, 3931 were classified as DPP4i users, and 6032 patients were DPP4i nonusers. DPP4i users had no increase in incidences of MPI (604 vs. 768 per 100,000 person-years, p = 0.776), NTM-LD (174 vs. 255 per 100,000 person-years, p = 0.228), and TB (542 vs. 449 per 100,000 person-years, p = 0.663) relative to those of DPP4i nonusers. After adjustment, the adjusted hazard ratios for MPI (aHR: 1.07, 95% CI: 0.79–1.45), TB (aHR: 1.15, 95% CI: 0.81–1.64) and NTM-LD (aHR: 0.85, 95% CI: 0.49–1.47) were not significantly increased relative to those of nonusers. The subgroup analysis also showed that DPP4i use did not increase the risk of MPI in different DM severities and comorbidities. ConclusionsAccording to our large cohort study, DPP4i use is safe for patients with type 2 DM and might not increase the risk of MPI.

Phenotyping Diabetes Mellitus on Aggregated Electronic Health Records from Disparate Health Systems

Background: Identifying patients with diabetes mellitus (DM) is often performed in epidemiological studies using electronic health records (EHR), but currently available algorithms have features that limit their generalizability. Methods: We developed a rule-based algorithm to determine DM status using the nationally aggregated EHR database. The algorithm was validated on two chart-reviewed samples (n = 2813) of (a) patients with atrial fibrillation (AF, n = 1194) and (b) randomly sampled hospitalized patients (n = 1619). Results: DM diagnosis codes alone resulted in a sensitivity of 77.0% and 83.4% in the AF and random hospitalized samples, respectively. The proposed algorithm combines blood glucose values and DM medication usage with diagnostic codes and exhibits sensitivities between 96.9% and 98.0%, while positive predictive values (PPV) ranged between 61.1% and 75.6%. Performances were comparable across sexes, but a lower specificity was observed in younger patients (below 65 versus 65 and above) in both validation samples (75.8% vs. 90.8% and 60.6% vs. 88.8%). The algorithm was robust for missing laboratory data but not for missing medication data. Conclusions: In this nationwide EHR database analysis, an algorithm for identifying patients with DM has been developed and validated. The algorithm supports quantitative bias analyses in future studies involving EHR-based DM studies.