New-onset Diabetes Research Articles

Efficacy of tacrolimus versus cyclosporine after lung transplantation: an updated systematic review, meta-analysis, and trial sequential analysis of randomized controlled trials.

Little data supports using tacrolimus versus cyclosporin for immunosuppression concerning acute rejection and bronchiolitis obliterans syndrome/Chronic Lung Allograft Dysfunction CLAD complications following lung transplantation (LTx). Our goal was to evaluate the use of tacrolimus versus cyclosporine in preventing these complications after LTx. We included randomized controlled trials (RCTs) by searching PubMed, Web of Science, SCOPUS, and Cochrane through January 10th, 2024. We pooled dichotomous data using the risk ratio (RR) and continuous data using the mean difference (MD) with a 95% confidence interval (CI). We included Four RCTs with a total of 677 patients. Tacrolimus was significantly associated with decreased risk of acute rejection (RR: 1.21, 95% CI [1.03, 1.42], I2 = 25%, P = 0.02) compared with cyclosporine, bronchiolitis obliterans syndrome/CLAD (RR: 1.87, 95% CI [1.26, 2.77], I2 = 52%, P = 0.002), and treatment withdrawal (RR: 3.11, 95% CI [2.06, 4.70], I2 = 0%, P = < 0.00001). However, tacrolimus significantly increased the risk of new-onset diabetes (RR: 0.33, 95% CI [0.12, 0.91], I2 = 0%, P = 0.03), and kidney dysfunction (RR: 0.79, 95% CI [0.66, 0.93], I2 = 0%, P = 0.006). In contrast, there was no difference in the incidence of all-cause mortality (RR: 91, 95% CI [0.68, 1.22], I2 = 0%, P = 0.53), arterial hypertension (RR: 2.40, 95% CI [0.41, 14.21], I2 = 92%, P = 0.33), and new cancer (RR: 1.57, 95% CI [0.79, 3.10], I2 = 4%, P = 0.20). Tacrolimus has decreased acute rejection episodes and CLAD rate than cyclosporine, but it increased the risk of new-onset diabetes and kidney dysfunction.

Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records

Type 2 diabetes mellitus (T2DM) is a prevalent health challenge faced by countries worldwide. In this study, we propose a novel large language multimodal models (LLMMs) framework incorporating multimodal data from clinical notes and laboratory results for diabetes risk prediction. We collected five years of electronic health records (EHRs) dating from 2017 to 2021 from a Taiwan hospital database. This dataset included 1,420,596 clinical notes, 387,392 laboratory results, and more than 1505 laboratory test items. Our method combined a text embedding encoder and multi-head attention layer to learn laboratory values, and utilized a deep neural network (DNN) module to merge blood features with chronic disease semantics into a latent space. In our experiments, we observed that integrating clinical notes with predictions based on textual laboratory values significantly enhanced the predictive capability of the unimodal model in the early detection of T2DM. Moreover, we achieved an area greater than 0.70 under the receiver operating characteristic curve (AUC) for new-onset T2DM prediction, demonstrating the effectiveness of leveraging textual laboratory data for training and inference in LLMs and improving the accuracy of new-onset diabetes prediction.

Association of Renal Hyperfiltration with Incidence of New-Onset Diabetes Mellitus: A Nationwide Cohort Study.

Background and Objectives: While the connection between decreased kidney function and diabetes mellitus (DM) is commonly acknowledged, there is insufficient research examining the relationship between higher-than-normal estimated glomerular filtration rate (eGFR) and the incidence risk of new-onset DM. Our research aimed to explore the relationship between an eGFR and the incidence risk of new-onset DM in the Korean general population through a nationwide longitudinal study. Methods: This research employed the cohort records of the National Health Insurance Service in Korea, analyzing records from 2,294,358 individuals between the ages of 20 and 79 who underwent health check-ups between 2010 and 2011. The eGFR levels from the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation were used to assess the renal function. New-onset DM was defined as two or more claims with the International Classification of Diseases-10 classification codes E10 to E14, being prescribed any medication for lowering blood glucose, or having a record of fasting plasma glucose levels of ≥126 mg/dL from a health examination after the index date. Results: The mean age of subjects was 47.34 ± 13.76 years. The 150,813 (6.57%) new-onset DM cases were identified over a median follow-up of 9.63 years. In the multivariable Cox regression analysis, in comparison with the 5th decile, the 10th (≥114.12 mL/min/1.73 m2) (hazard ratio (HR): 0.52, 95% confidence interval (CI) (0.50-0.54), p < 0.001) eGFR decile was significantly associated with a decreased incidence of new-onset DM. Moreover, eGFR >120 mL/min/1.73 m2 was associated with a reduced risk of new-onset DM (HR: 0.40, 95% CI (0.39-0.42), p < 0.001). These results were consistent regardless of the presence of impaired glucose tolerance, age, or obesity. Conclusion: Our study showed higher-than-normal eGFR levels were associated with a lower risk of incidence for new-onset DM regardless of the presence of impaired glucose tolerance, age, or obesity. In general population, higher-than-normal eGFR may be associated with a lower risk of incidence of new-onset DM.

Selection strategy for endoscopic necrosectomy approaches of infected walled-off pancreatic necrosis: Analysis of 101 patients from a single center with long-term follow-up.

Endoscopic necrosectomy (EN) is a promising minimally invasive approach for treating infected walled-off pancreatic necrosis (WOPN). Multiple EN approaches are currently available, though criteria for selecting the optimal approaches are lacking. We aimed to propose a rational selection strategy of EN and to retrospectively evaluate its safety and effectiveness. Altogether 101 patients who underwent EN for infected WOPN at a tertiary hospital between June 2009 and February 2023 were retrospectively included for analysis. Demographic characteristics, details of the EN procedures, procedure-related adverse events, and clinical outcomes were investigated. Among these 101 patients with WOPN, 56 (55.4%) underwent transluminal EN, 38 (37.6%) underwent percutaneous EN, and seven (6.9%) underwent combined approach, respectively. Clinical success was achieved in 94 (93.1%) patients. Seven (6.9%) experienced procedure-related adverse events, and seven (6.9%) died during the treatment period. During a median follow-up of 50 months, 5 (5.3%) of the 94 patients had disease recurrence, 17.0% (16/94) had new-onset diabetes mellitus, and 6.4% (6/94) needed oral pancreatic enzyme supplementation. The clinical success rate, procedure-related adverse event rate, and long-term follow-up outcomes were not significantly different among the three groups. High APACHE-II scores (≥15) and organ failure were identified as factors related to treatment failure. A selection strategy for EN approaches, based on the extent of necrosis and its distance from the gastrointestinal lumen (using a threshold of 15 mm), is safe and effective for treating infected WOPN in both short-term and long-term outcomes.

Clinical Risk Factors and First Gestational 75 g OGTT May Predict Recurrent and New-Onset Gestational Diabetes in Multiparous Women.

Background: Women who experience gestational diabetes mellitus (GDM) during their first pregnancy are at a high risk of developing GDM again in subsequent pregnancies. Even mothers with no previous history of GDM may develop the condition in a new pregnancy. Methods: In this retrospective cross-sectional observational study, 759 multiparous women tested for GDM in two successive pregnancies using the 75 g OGTT (IADPSG criteria) were enrolled. The OGTT was performed at 24-28 weeks' gestation or earlier if there was a history of GDM. Participants were categorized into four groups: women with normal glucose tolerance (NGT) in both pregnancies (n = 493), women with a first occurrence of GDM in their second pregnancy (n = 74), women with non-recurrent GDM in their second pregnancy (n = 92), and women with recurrent GDM in their second pregnancy (n = 100). Results: Intergroup comparisons revealed clinical predictors of GDM in the first pregnancy (family history of type 2 diabetes, PCOS, advanced maternal age, pregravid obesity) and in the second pregnancy (interpregnancy BMI gain), as well as predictors of recurrent GDM (pregravid obesity, PCOS). A positive correlation was observed between the OGTT glucose levels of consecutive pregnancies. Adjusted logistic regression indicated that a higher 1-h post-load glucose level (≥130 mg/dL) during the first pregnancy significantly increased the likelihood of new-onset GDM in the second pregnancy (OR: 2.496), whereas a higher 2-h post-load glucose level (≥153 mg/dL) at the first diagnostic OGTT increased the likelihood of recurrent GDM (OR: 2.214). Conclusions: Clinical risk factors and post-load glucose levels during the first gestational 75 g OGTT can help predict new-onset or recurrent GDM in multiparous women.

New-onset diabetes mellitus in patients with COVID19 infection admitted to a tertiary care hospital: A single-center experience.

To determine the frequency of new-onset diabetes mellitus (NODM) in patients with COVID-19 in a tertiary care hospital. It was a retrospective descriptive study carried out in Lady Reading Hospital Peshawar, Khyber Pakhtunkhwa province of Pakistan from November 2021 to April 2022. All patients having new onset Diabetes Mellitus (NODM) were identified among a total of 300 patients admitted to the hospital with COVID-19 infection. Patients' data including relevant investigations were accessed through the hospital management information system (HMIS). SPSS version-23 was used for data entry and statistical analysis. Out of 300 COVID-19 patients included in the study, 163 (54.3%) were female and 137(45.7%) were male. The mean age of the patients was 56.80±13.72 (IQR 15) years. Frequency of the new onset diabetes was 44(14.7%); 19 (6.33%) male and 25(8.33%) female. Among the 44 NODM patients, the majority (57%) were female (p=0.720). Most (64%) of the patients with new-onset DM were in the middle age (p=0.018). A significant number of patients with COVID-19 infection are prone to develop new-onset diabetes during their admission to the hospital.

P.225: New-onset diabetes after transplantation (nodat) and glucose Metabolism in at-risk patients receiving cyclosporine versus tacrolimus: A randomised controlled trial.

P.225: New-onset diabetes after transplantation (nodat) and glucose Metabolism in at-risk patients receiving cyclosporine versus tacrolimus: A randomised controlled trial.

Prediction of pancreatic cancer in patients with new onset hyperglycemia: A modified ENDPAC model

Background/Objectives: The Enriching New-Onset Diabetes for Pancreatic Cancer (ENDPAC) model relies primarily on fasting glucose values. Health systems have increasingly shifted practice towards use of glycated hemoglobin (HbA1c) measurement. We modified the ENDPAC model using patients with new onset hyperglycemia. MethodsFour cohorts of patients 50-84 years of age with HbA1c results ≥6.2-6.5% in 2011-2018 were identified. A combine cohort was formed. A widened eligibility criterion was applied to form additional four individual cohorts and one combined cohort. The primary outcome was the diagnosis of pancreatic cancer within 3 years after the first elevated HbA1c testing. The performance of the modified ENDPAC model was evaluated by AUC, sensitivity, positive predictive value, cases detected, and total number of patients screened. ResultsThe individual and combined cohorts consisted of 39,001-79,060 and 69,334-92,818 patients, respectively (mean age 63.5-65.0 years). The three-year PC incidence rates were 0.47%-0.54%. The AUC measures were in the range of 0.75-0.77 for the individual cohorts and 0.75 for the combined cohorts. When the four individual cohorts were combined, more PC cases can be identified (149 by the combined vs. 113-116 by individual cohorts when risk score was 5+). Performance measures were compromised in nonwhites. Asian and Pacific islanders had lower sensitivity compared to other racial and ethnic groups (29% vs. 50-60%) when risk score was 5+. ConclusionsThe modified ENDPAC model targets a broader population and thus identifies more high-risk patients for cancer screening. The differential performance needs to be considered when the model is applied to non-white population.

344.7: Predictive analysis of new-onset diabetes after kidney transplantation: Integrating clinical and radiological factors at Mayo Clinic.

344.7: Predictive analysis of new-onset diabetes after kidney transplantation: Integrating clinical and radiological factors at Mayo Clinic.

The relationship between COVID-19 and hyperglycemia: screening and monitoring hospitalized patients

BackgroundElevated blood glucose concentration, also known as hyperglycemia, has been identified as a significant factor influencing the prognosis of COVID-19, alongside the impact of the SARS-CoV-2 infection itself.MethodsThis research is a cross-sectional investigation that examined the relationship between COVID-19 and hyperglycemia in patients admitted to Afzalipour Hospital in Kerman, Iran, from July to September 2021. A standardized data sheet was used to capture demographic data (age, gender) and laboratory information (blood sugar, arterial blood oxygen saturation, and C-reactive protein (CRP)) upon admission.ResultsThe present research evaluated a total of 300 individuals diagnosed with COVID-19, with an average age of 50.19 ± 15.55 years. Among these patients, the majority were male, accounting for 51.67% of the total. Hyperglycemia was seen in 21.67% of patients, but less than 20% had new-onset diabetes. Individuals exhibiting hyperglycemia were typical of advanced age (P < 0.001). Furthermore, there was a slight but statistically significant association between advanced age and elevated blood glucose concentration (R = 0.254, P < 0.001). Gender had no significant impact on the occurrence of hyperglycemia (P = 0.199). There was no significant association between CRP levels and blood glucose concentration (P = 0.524) or the incidence of hyperglycemia (P = 0.473). Although there was no significant disparity in blood oxygen saturation between individuals with or without hyperglycemia (P = 0.06), higher blood glucose concentration was correlated with lower blood oxygen saturation (R = -0.151, P < 0.001).ConclusionConsidering the correlation between blood glucose concentration, advanced age, and disease severity, it is recommended to carefully screen and monitor all COVID-19 patients for hyperglycemia and new-onset diabetes. Effective management of these complications could enhance the control of patients’ overall prognosis and subsequent complications.

Long Neuro-COVID-19: Current Mechanistic Views and Therapeutic Perspectives.

Long-lasting COVID-19 (long COVID) diseases constitute a real life-changing burden for many patients around the globe and, overall, can be considered societal and economic issues. They include a variety of symptoms, such as fatigue, loss of smell (anosmia), and neurological-cognitive sequelae, such as memory loss, anxiety, brain fog, acute encephalitis, and stroke, collectively called long neuro-COVID-19 (long neuro-COVID). They also include cardiopulmonary sequelae, such as myocardial infarction, pulmonary damage, fibrosis, gastrointestinal dysregulation, renal failure, and vascular endothelial dysregulation, and the onset of new diabetes, with each symptom usually being treated individually. The main unmet challenge is to understand the mechanisms of the pathophysiologic sequelae, in particular the neurological symptoms. This mini-review presents the main mechanistic hypotheses considered to explain the multiple long neuro-COVID symptoms, namely immune dysregulation and prolonged inflammation, persistent viral reservoirs, vascular and endothelial dysfunction, and the disruption of the neurotransmitter signaling along various paths. We suggest that the nucleoprotein N of SARS-CoV-2 constitutes a "hub" between the virus and the host inflammation, immunity, and neurotransmission.

Different Associations between Lipid Levels and Risk for Heart Failure according to Diabetes Progression.

The relationship between circulating lipid levels and the risk for heart failure (HF) is controversial. We aimed to examine this association, and whether it is modified by the duration of diabetes or treatment regimens in people with type 2 diabetes mellitus. Individuals (n=2,439,978) who underwent health examinations in 2015 to 2016 were identified from the Korean National Health Information Database. Subjects were categorized according to the duration of diabetes (new-onset, <5, 5-10, or ≥10 years) and number of antidiabetic medications. Incident HF was defined according to the International Classification of Diseases, 10th Revision (ICD-10) code I50 as the primary diagnosis during hospitalization. The risk for HF was estimated using multivariate Cox proportional hazard analysis. During a median follow-up of 4.0 years, 151,624 cases of HF occurred. An inverse association between low-density lipoprotein cholesterol (LDL-C) levels and incident HF was observed in the new-onset diabetes group, with an approximately 25% lower risk in those with LDL-C levels of 100-129, 130-159, and ≥160 mg/dL, compared to those with levels <70 mg/dL. However, J-shaped associations were noted in the long-standing diabetes group, with a 16% higher risk in those with LDL-C level ≥160 mg/dL, compared to those with levels <70 mg/dL. Similar patterns were observed in the relationship between total cholesterol or non-high-density lipoprotein cholesterol and the risk for HF, and when subjects were grouped according to the number of antidiabetic medications instead of diabetes duration. Different associations between lipid levels and the risk for HF were noted according to disease progression status among individuals with diabetes.

Increased incidence of diabetes in people living with HIV treated with first-line integrase strand transfer inhibitors: A French multicentre retrospective study.

Prevention of cardiovascular disease is a major issue in the current management of people living with HIV. Concern is growing about the metabolic impact of integrase strand transfer inhibitors (INSTIs), which could lead to an increased risk of diabetes, but the data are conflicting. This is an updated version of our previous analysis, with longer follow-up and new molecules. We retrospectively evaluated the incidence of new-onset diabetes in people living with HIV starting combined antiretroviral therapy with an INSTI compared with non-nucleoside reverse transcriptase inhibitors and protease inhibitors. Data were collected from the Dat'AIDS cohort study, a collaboration of 30 HIV treatment centres in France. We used a propensity score-based inverse probability of treatment weighting approach to adjust for baseline characteristics between the two groups (INSTI and non-INSTI). Between 2009 and 2021, a total of 12 150 people living with HIV were included. The incidence of diabetes was higher in the INSTI group than in the non-INSTI group (hazard ratio 1.38; 95% confidence interval 1.07-1.77; p = 0.012). Regardless of the third drug, but to a greater extent for INSTIs, we observed a peak of new-onset diabetes in the year following initiation of combined antiretroviral therapy. The incidence of diabetes was higher in people treated with integrase inhibitors than in those receiving other third agents. This increased risk occurred both during the first year of treatment and in the longer term.

Different diabetogenic effect of statins according to intensity and dose in patients with acute myocardial infarction: a nationwide cohort study

Statin is crucial for acute myocardial infarction (AMI) patients. However, the risk of new-onset diabetes mellitus (NODM) associated with statin is a concern. This study aimed to determine the incremental diabetogenic effects of statins according to their intensity and dose in AMI patients undergoing percutaneous coronary intervention (PCI). Among 13,104 patients enrolled in the Korea AMI Registry between 2011 and 2015, 6152 patients without diabetes mellitus (DM) who underwent PCI and received moderate-to-high-intensity atorvastatin and rosuvastatin were selected for the study. The endpoints were NODM and major adverse cardiovascular events (MACE), composite of all-cause mortality, recurrent MI, and revascularization up to 3 years. Among the participants, 3747 and 2405 received moderate- and high-intensity statins, respectively. The Kaplan–Meier curves demonstrated a higher incidence of NODM in patients with high-intensity statins than those with moderate-intensity. High-intensity statin was a significant predictor of NODM after adjusting for other co-variables (HR = 1.316, 95% CI 1.024–1.692; P < 0.032). Higher dose of rosuvastatin was associated with a higher cumulative incidence of NODM, but this dose-dependency was not apparent with atorvastatin. Cumulative incidence of MACE decreased dose-dependently only with atorvastatin. High-intensity statin was associated with a higher cumulative incidence of NODM in AMI patients, and this association was more evident in rosuvastatin. The different diabetogenic effects of the two statins provide supporting evidence for understanding the nuanced nature of statin treatment in relation to NODM.

Effect of rosuvastatin versus atorvastatin on new-onset diabetes mellitus in patients treated with high-intensity statin therapy for coronary artery disease

Effect of rosuvastatin versus atorvastatin on new-onset diabetes mellitus in patients treated with high-intensity statin therapy for coronary artery disease

Very low lipoprotein(a) levels are associated with higher risks of new-onset diabetes

Very low lipoprotein(a) levels are associated with higher risks of new-onset diabetes

Incidence of Postoperative Diabetes Mellitus After Roux-en-Y Reconstruction for Gastric Cancer: Retrospective Single-Center Cohort Study.

Sleeve gastrectomy is an effective surgical option for morbid obesity, and it improves glucose homeostasis. In patients with gastric cancer and type 2 diabetes mellitus (DM), gastrectomy, including total gastrectomy, is beneficial for glycemic control. This study aims to clarify the effects of gastrectomy and different reconstructive techniques on the incidence of postoperative DM in patients with gastric cancer. This retrospective, single-center, cohort study included 715 patients without DM who underwent total gastrectomy at the Tokyo Metropolitan Bokutoh Hospital between August 2005 and March 2019. Patients underwent reconstruction by Roux-en-Y (RY) gastric bypass or other surgical techniques (OT), with DM onset determined by hemoglobin A1c levels or medical records. Analyses included 2-sample, 2-tailed t tests; χ2 tests; and the Kaplan-Meier method with log-rank tests to compare the onset curves between the RY and OT groups, along with additional curves stratified by sex. A Swimmer plot for censoring and new-onset DM was implemented. Stratified data analysis compared the RY and OT reconstruction methods. The hazard ratio was 1.52 (95% CI 1.06-2.18; P=.02), which indicated a statistically significant difference in the incidence of new-onset diabetes between the RY and OT groups in patients with gastric cancer. The hazard ratio after propensity score matching was 1.42 (95% CI 1.09-1.86; P=.009). This first-of-its-kind study provides insight into how different methods of gastric reconstruction affect postoperative diabetes. The results suggest significant differences in new-onset DM after surgery based on the reconstruction method. This research highlights the need for careful surgical planning to consider potential postoperative DM, particularly in patients with a family history of DM. Future studies should investigate the role of gut microbiota and other reconstructive techniques, such as laparoscopic jejunal interposition, in developing postoperative DM.

Effect of rosuvastatin versus atorvastatin on new-onset diabetes mellitus in patients treated with high-intensity statin therapy for coronary artery disease: a post-hoc analysis from the LODESTAR randomized clinical trial

BackgroundThe impact of rosuvastatin versus atorvastatin on new-onset diabetes mellitus (NODM) among patients treated with high-intensity statin therapy for coronary artery disease (CAD) remains to be clarified. This study aimed to evaluate the risk of NODM in patients with CAD treated with rosuvastatin compared to atorvastatin in the randomized LODESTAR trial.MethodsIn the LODESTAR trial, patients with CAD were randomly assigned to receive either rosuvastatin or atorvastatin using a 2-by-2 factorial randomization. In this post-hoc analysis, the 3-year incidence of NODM was compared between rosuvastatin and atorvastatin treatment in the as-treated population with high-intensity statin therapy as the principal population of interest.ResultsAmong 2932 patients without diabetes mellitus at baseline, 2377 were included in the as-treated population analysis. In the as-treated population with high-intensity statin therapy, the incidence of NODM was not significantly different between the rosuvastatin and atorvastatin groups (11.4% [106/948] versus 8.8% [73/856], hazard ratio [HR] = 1.32, 95% confidence interval [CI] = 0.98 to 1.77, P = 0.071). When the risk of NODM with rosuvastatin versus atorvastatin was assessed according to the achieved low-density lipoprotein cholesterol (LDL-C) level, the risk of NODM began to increase at a LDL-C level below 70 mg/dL. The incidence of NODM was significantly greater in the rosuvastatin group than it was in the atorvastatin group when the achieved LDL-C level was < 70 mg/dL (13.9% versus 8.0%; HR = 1.79, 95% CI 1.18 to 2.73, P = 0.007).ConclusionsAmong CAD patients receiving high-intensity statin therapy, the incidence of NODM was not significantly different between rosuvastatin and atorvastatin. However, a drug effect of the statin type on NODM was observed when the achieved LDL-C level was < 70 mg/dL.Trial registrationClinicalTrials.gov, Identifier: NCT02579499.Graphical abstract

A Systematic Review of Existing Data on Statin Use and New-Onset Type 2 Diabetes: The Need for Clear Answers

Background: The relationship between statins use and the development of new-onset type 2 diabetes mellitus (NOT2DM) has been a subject of ongoing debate and investigation. In February 2012, the Food and Drug Administration (FDA) disclosed that statin use could lead to a modest rise in glycosylated hemoglobin (HbA1c) and fasting blood glucose (FBG), potentially contributing to the development of diabetes. We systematically reviewed the available evidence and summarized the impact of statin use on NOT2DM. Aim: This systematic review aims to examine and provide a comprehensive overview of existing data relating to statin use and their association with the development of new-onset type 2 diabetes (NOT2DM). The primary objectives were to assess and explore: (1) the potential association between statin use and the development of new-onset diabetes; (2) the magnitude, extent, and incidence of new-onset diabetes due to statin use. The secondary objective was to explore the underlying mechanisms. Data Sources: PubMed, Scopus, Science Direct, Wiley, and Google Scholar and databases between January 2012 and February 2021. Data Extraction: The 2 reviewers Musa Basheer Mansour and Sara Elsheikh Ahmedana [MBM and SEA] independently assessed the qualities of the extracted studies and summarized data of the selected studies in tabulated forms for outcomes of interest and performed methodological and quality assessments based on review questions, citations, country of the study, aim, population characteristics, design, setting, sample size, sample technique, data source, measures, analysis, confounder variable and key observations for systematic review. We applied search keywords such as Statins, New-onset diabetes, Diabetes mellitus, Underlying mechanism, and incidents of diabetes. Results: A total of 66 studies were identified through database searches in the initial search, and 7 studies were included in this review. Of the 2,567,888 adult patients, 861,925 were nondiabetic patients on statin use, and 1,705,963 were diabetic on statin or non-statin users. We considered Hazard Ratios (HR), Odds Ratios (OR), and Confidence Intervals (CI) of each study for further analysis. The mean OR for three studies showed that each statin therapy resulted in a 68% increased risk of NOT2DM (OR, 1.683; 95% CI: 1.273-2.237). The significant relationship between statin use and the rising risk of NOT2DM was also confirmed by an average HR of 1.53 (95% CI: 1.2-1.7) for the remaining four studies. Recent and short-term use of statins, as well as time- and dose-dependent connections, were linked to an increased risk of NOT2DM in statin users compared to non-users. These risks were more prominent among older adults, normotensive males, hypertensive females, and individuals with low physical activity. Although no proven mechanisms were found, the possible processes are discussed. Conclusion: The systematic review found a significant level of risk of NOT2DM associated with statin use. The authors argued that the short-term diabetes risk caused by statin treatment was more prevalent among patients exposed to risk factors for diabetes. Although the precise mechanisms behind this association remain unclear, this research provides clinical practice with evidence-based guidelines. Additionally, conducting future research may be appropriate based on the gaps in knowledge identified from the results of this review.

Potential Effects of Hyperglycemia on SARS-CoV-2 Entry Mechanisms in Pancreatic Beta Cells.

The COVID-19 pandemic has revealed a bidirectional relationship between SARS-CoV-2 infection and diabetes mellitus. Existing evidence strongly suggests hyperglycemia as an independent risk factor for severe COVID-19, resulting in increased morbidity and mortality. Conversely, recent studies have reported new-onset diabetes following SARS-CoV-2 infection, hinting at a potential direct viral attack on pancreatic beta cells. In this review, we explore how hyperglycemia, a hallmark of diabetes, might influence SARS-CoV-2 entry and accessory proteins in pancreatic β-cells. We examine how the virus may enter and manipulate such cells, focusing on the role of the spike protein and its interaction with host receptors. Additionally, we analyze potential effects on endosomal processing and accessory proteins involved in viral infection. Our analysis suggests a complex interplay between hyperglycemia and SARS-CoV-2 in pancreatic β-cells. Understanding these mechanisms may help unlock urgent therapeutic strategies to mitigate the detrimental effects of COVID-19 in diabetic patients and unveil if the virus itself can trigger diabetes onset.