Pre-existing Diabetes Mellitus Research Articles

Long-Term Risk of Type 2 Diabetes After Preterm Delivery or Hypertensive Disorders of Pregnancy.

To examine long-term diabetes risk after preterm delivery or hypertensive disorders of pregnancy in a large population-based cohort. This retrospective cohort study included all women with a singleton delivery in Sweden during 1973-2015 and no preexisting diabetes mellitus. Participants were followed up for development of type 2 diabetes identified from nationwide outpatient and inpatient diagnoses through 2018. Cox regression was used to compute hazard ratios (HRs) for the association between preterm delivery or hypertensive disorders of pregnancy and type 2 diabetes with adjustment for gestational diabetes and other maternal factors. Co-sibling analyses assessed for confounding by shared familial (genetic or environmental) factors. Overall, 2,184,417 women were included. Within 10 years after delivery, adjusted HRs for type 2 diabetes associated with specific pregnancy outcomes were as follows: any preterm delivery (before 37 weeks of gestation), 1.96 (95% CI, 1.83-2.09); extremely preterm delivery (22-27 weeks), 2.53 (95% CI, 2.03-3.16); and hypertensive disorders of pregnancy, 1.52 (95% CI, 1.43-1.63). All HRs remained significantly elevated (1.1-1.7-fold) 30-46 years after delivery. These findings were largely unexplained by shared familial factors. In this large national cohort, preterm delivery and hypertensive disorders of pregnancy were associated with increased risk for type 2 diabetes up to 46 years later. Women with these pregnancy complications are candidates for early preventive actions and long-term monitoring for type 2 diabetes.

The role of preexisting diabetes mellitus on the risk for aggressive thyroid cancers

The role of preexisting diabetes mellitus on the risk for aggressive thyroid cancers

Left ventricular systolic dysfunction predicts clinical prognosis in patients with acute ischemic stroke after intravenous thrombolysis.

Although intravenous recombinant tissue plasminogen activator (rt-PA) thrombolysis is the most effective early treatment for acute ischemic stroke (AIS), outcomes vary greatly among patients. Left ventricular systolic dysfunction (LVSD) is prone to distant organ ischemia and may be a predictor for poor prognosis in AIS patients undergoing intravenous thrombolysis (IVT). Our aim was to investigate the predictivity of LVSD diagnosis (as measured by left ventricular ejection fraction (LVEF)) on 90-day clinical outcomes in AIS patients undergoing thrombolysis. The current prospective cohort study continuously enrolled 273 AIS patients from the National Stroke Prevention and Treatment Engineering Management Special Database who underwent IVT and completed echocardiography within 24 h of admission between 2021 and 2023. LVSD was examined by evaluation of the echocardiographic LVEF values using Simpson's biplane method of discs in line with international guidelines, and defined as a LVEF value < 50%. Multivariable ordinal logistic regression model was performed to analyze the association between LVEF and functional outcome at 3 months. Restricted cubic spline (RCS) was used to examine the shape of the dose-response association between reduced LVEF and poor functional outcomes. Subgroup analysis was also employed to further verify the reliability and practicability of the results. Baseline data analysis showed LVSD patients had more comorbidities including on multivariate analyses, LVSD (OR 2.78, 95% CI 1.23 to 6.24, P=0.014), pre-existing diabetes mellitus (OR 2.08, 95% CI 1.11 to 3.90, P=0.023) and NIHSS on arrival (OR 1.31, 95% CI 1.21 to 1.49, P<0.001) were independent predictors of poor functional outcomes (mRS ≥ 3) at 3 months. Multivariable-adjusted spline regression indicated a linear dose-response association between LVEF after IVT and poor functional outcomes (p for linearity < 0.001), with the optimal cutoff values of LVEF being 0.48. Our finding indicated that AIS patients with LVSD after IVT had poorer outcomes, suggesting the need to monitor and optimize LVEF in stroke management.

Preexisting Diabetes Mellitus and All-Cause Mortality in Adult Patients With Sepsis: A Population-Based Cohort Study.

We assessed the association of preexisting diabetes mellitus with all-cause mortality and organ support receipt in adult patients with sepsis. Population-based cohort study. Ontario, Canada (2008-2019). Adult patients (18 yr old or older) with a first sepsis-related hospitalization episode. None. The main exposure of interest was preexisting diabetes (either type 1 or 2). The primary outcome was all-cause mortality by 90 days; secondary outcomes included receipt of invasive mechanical ventilation and new renal replacement therapy. We report adjusted (for baseline characteristics using standardization) risk ratios (RRs) alongside 95% CIs. A main secondary analysis evaluated the potential mediation by prior metformin use of the association between preexisting diabetes and all-cause mortality following sepsis. Overall, 503,455 adults with a first sepsis-related hospitalization episode were included; 36% had preexisting diabetes. Mean age was 73 years, and 54% of the cohort were females. Preexisting diabetes was associated with a lower adjusted risk of all-cause mortality at 90 days (RR, 0.81; 95% CI, 0.80-0.82). Preexisting diabetes was associated with an increased risk of new renal replacement therapy (RR, 1.53; 95% CI, 1.46-1.60) but not invasive mechanical ventilation (RR, 1.03; 95% CI, 1.00-1.05). Overall, 21% (95% CI, 19-28) of the association between preexisting diabetes and reduced risk of all-cause mortality was mediated by prior metformin use. Preexisting diabetes is associated with a lower risk of all-cause mortality and higher risk of new renal replacement therapy among adult patients with sepsis. Future studies should evaluate the underlying mechanisms of these associations.

The sFLT-1/PlGF Ratio for the Prediction of Preeclampsia-Related Adverse Fetal and Maternal Outcomes in Women with Preexisting Diabetes.

To evaluate the predictive value of the sFlt-1/PlGF ratio for the prediction of preeclampsia in women with preexisting diabetes mellitus. This is a monocentric retrospective observational study conducted between January 2018 and December 2020. All singleton pregnancies with preexisting diabetes mellitus, who had a dosage of the sFlt-1/PlGF ratio between 30 and 34 + 6 weeks of gestation were included. The principal outcome was preeclampsia. The secondary outcomes were preterm preeclampsia, gestational hypertension, placental abruption, intrauterine fetal death, IUGR, small for gestational age and a composite outcome named "hypertensive disorder of pregnancy" including gestational hypertension, preeclampsia and HELLP syndrome (hemolysis, elevated liver enzymes and low platelet count). Of 63 patients, 22% presented preeclampsia. The area under the curve of sFlt-1/PlGF ratio was 0.90 (95% CI: 0.79-0.96) for the prediction of preeclampsia. The receiver operator characteristic analysis suggested that the optimal sFlt-1/PlGF cutoff to predict preeclampsia was 29, with a sensitivity of 86% (95% CI: 60.1-96.0) and a specificity of 92% (95% CI: 80.8-96.8). A cut-off of 38 provided a sensitivity of 71% (95% CI: 45.4-88.3), a specificity of 92% (95% CI: 80.8-96.8). Further analysis using multivariable methods revealed nephropathy was significantly associated with PE (p = 0.014). The use of the sFlt-1/PlGF ratio during the third trimester of pregnancy seems to be of interest as a prognostic tool to improve multidisciplinary management of patients with preexisting diabetes mellitus.

Neonatal Outcomes in Different Maternal Diabetes Types: Experience from a Tertiary Care Unit

Objective: Infants of mothers with diabetes (IMD) may require hospitalization in neonatal intensive care units (NICU) for various reasons. In our study, our objective was to compare clinical and laboratory findings, as well as malformations and morbidities among IMD based on the types of maternal diabetes. Material and Methods: The diabetic status of mothers of 4713 infants admitted to tertiary neonatal intensive care unit (NICU) at Ankara Bilkent City Hospital between January 1, 2020, and January 1, 2022, was examined. We retrospectively analyzed demographic data, clinical and laboratory characteristics, and morbidities for 616 infants born to mothers with impaired glucose tolerance (IGT), gestational diabetes mellitus (GDM), or pre-existing gestational diabetes mellitus (Pre-GDM). Results: Of the 616 cases, 167 (27.1%) were infants of mothers with IGT, 394 (64%) with GDM and 55 (8.9%) with Pre-GDM. The prevalence of macrosomia was significantly higher in Pre-GDM (30.9%) than in the IGT (15%) and GDM (19.3%) groups (p=0.033). The most common malformations in the cases were related to the cardiovascular system (CVS) (77.4%). The frequency of septal hypertrophy was significantly higher in the Pre-GDM group compared to the IGT and GDM groups, and in the GDM group compared to the IGT group (p&amp;lt;0.001). The rates of septal hypertrophy, CVS malformation, LGA/macrosomia, and hypocalcemia were found to be significantly higher in infants of mothers with insulin requirement and high HbA1c levels, particularly in Pre-GDM group (p&amp;lt;0.001). According to the ROC analysis for the optimum maternal HbA1c value predicting septal hypertrophy, the threshold value was found to be 6% (AUC=0.693) with 62% sensitivity and 66% specificity. In logistic regression analysis, macrosomia and maternal HbA1c ≥6% were determined as independent risk factors for the presence of septal hypertrophy. Conclusion: Despite variations in the type of maternal diabetes, IDM experience significant clinical challenges when hospitalized and monitored in the NICU. Infants born to mothers with IGT may also be subjected to maternal hyperglycemia. The likelihood of certain complications rises in infants born to pregnant women with inadequate glycemic control, particularly those with elevated HbA1c levels. By ensuring maternal glycemic control and closely monitoring these infants, it is possible to reduce both mortality and morbidity.

Early HbA1c Levels as a Predictor of Adverse Obstetric Outcomes: A Systematic Review and Meta-Analysis.

Background: The objective was to assess the association between early HbA1c levels and pregnancy complications and whether this relationship is affected when HbA1c thresholds are greater than or less than 39 mmol/mol (5.7%). Methods: Electronic searches of the MEDLINE and EMBASE databases up to October 2022 were conducted. We included retrospective and prospective observational studies. The inclusion criteria were as follows: HbA1c measurements taken at <20 weeks' gestation, singleton pregnancy, and no pre-existing diabetes mellitus. Results: We assessed the certainty of the evidence with the GRADE system. We determined the proportion of patients in each group who met the criteria for obstetrical outcomes and pooled data into two subgroups according to the HbA1c threshold: <39 mmol/mol or >39 mmol/mol (5.7%). Sixteen studies with a total of 43,627 women were included. An association between elevated early HbA1c levels and pre-eclampsia, large for gestational age (LGA), macrosomia, and preterm delivery (RR 2.02, 95% CI 1.53-2.66; RR 1.38, 95% CI 1.15-1.66; RR 1.40, 95% CI 1.07-1.83; and RR 1.67, 95% CI 1.39-2.0, respectively) was shown, with a moderate-high grade of certainty. According to the subgroup analysis of all studies, LGA, pre-eclampsia, and labour induction were associated with elevated HbA1c levels only in studies using an HbA1c threshold >39 mmol/mol (5.7%). The association between HbA1c levels and premature birth was statistically significant in studies using both higher and lower HbA1c thresholds. Conclusions: Women with high early HbA1c levels below the range of diabetes presented an increased risk of pregnancy complications such as macrosomia, LGA, and pre-eclampsia. An early HbA1c threshold of >39 mmol/mol (5.7%) showed the strongest association with pregnancy complications.

Short and long-term outcomes of decompressive craniectomy among patients with non-traumatic acute intracranial hypertension; A 5-year retrospective analysis of a referral center

BackgroundDecompressive craniectomy (DC) is performed for the management of the patients with acutely elevated intracranial pressure (ICP). Considering the paucity of the evidence regarding the outcome predictors in patients with non-traumatic raised ICP, we aimed to assess short- and long-term outcome related factors in DC subjects. MethodsIn this cross-sectional study, health records of the patients who underwent DC for non-traumatic etiologies over the five years were interrogated and demographic data, clinical features, operative findings, and follow-up notes were collected. The primary short- and long-term outcomes were in-hospital mortality and functional status, respectively. Functional status was evaluated using Glasgow Outcome Scale (GOS) at 6-month follow-up. ResultsOf the 223 eligible patients, 113 (50.7 %) were male and the mean age was 48.68 ± 13.97 years. In-hospital mortality rate was 48.4 % (n = 108). Of the survivors, 28 (30.4 %) had favorable outcomes (GOS 4–5). The most common post-operative complications were infection with respiratory source (n = 52, 23 %) and external cerebral herniation (n = 61, 27.4 %). Presence of diabetes mellitus (DM) (OR = 6.09; 95 % CI = 2.0–18.51; P = 0.001), subarachnoid hemorrhage (SAH) (OR = 5.61; 95 % CI = 1.47––21.3; P = 0.01), and prolonged duration of ICU-stay (OR = 1.37; 95 % CI: 1.03, 1.24; P = 0.006) were associated with in-hospital mortality. Also, preexisting DM was two times more prevalent among the subjects deceased in the hospital than those who survived. ConclusionsConcomitant SAH, DM, and prolonged ICU stay were associated with increased in-hospital mortality. In addition, preexisting DM may increase mortality rates, likely irrespective of age factor.

Predictive factors of perinatal depression among women with gestational diabetes mellitus in the UAE: a cross-sectional clinical study

BackgroundGestational Diabetes Mellitus (GDM) is responsible for the development of 30–50% of type 2 diabetes mellitus that predisposes later to adverse consequences among affected mothers and their offspring. Several studies have suggested that GDM increases the risk of developing perinatal depression (PND); however, factors that are involved in this association are yet to be determined. This study aims to identify factors that interrelate GDM and PND among pregnant and postnatal women in the United Arab Emirates (UAE).MethodsA total of 186 women between 18 and 45 years old attending the obstetrics clinic during their 3rd trimester or up to 6 months postnatal were recruited between October 2021 and April 2022. Women who were known to have pre-existing diabetes mellitus (type 1 or type 2), kidney disease, liver disease, and those receiving hormonal therapy were excluded. Participants completed a structured questionnaire including sociodemographic data and the Edinburgh Postnatal Depression Scale (EPDS). Based on their EPDS scores, study participants were categorized into three groups: no depression (> 9), possible depression (9–11), and high possibility/strong positive depression (≥ 12). SPSS 26 was used for data analysis.ResultsAmong the 186 participants, 81% (n = 151) were Emirati, 41% (n = 76) had no GDM, and 58% (n = 110) had GDM. Of the study participants, 34.4% had a high possibility of strong positive depression, 40.9% had possible depression, and only 6.5% had no depression. The association between GDM and PND was clinically and statistically insignificant, with a calculated odds ratio (OR) of 1.574 (p value = 0.204) and a 95% confidence interval (0.781—3.172). However, age, personal history of depression, and BMI were found to be strong predictors of depression among pregnant/postpartum women in the UAE.ConclusionsThe study findings propose that age, personal history of depression, and obesity are strong predictors of depression during pregnancy. The strong correlation between obesity (which is a known strong predictor of GDM) and PND suggests that further studies with longitudinal designs and longer observational periods might better reveal the relationship between GDM and PND.Trial registrationRetrospectively registered study by Research Ethics Committees of the University Hospital Sharjah and the University of Sharjah (Ref. No.: UHS-HERC- 025–17122019) December 17, 2019.

Renal functional outcomes after nephrectomy in patients with localized renal cell carcinoma and diabetes mellitus: a systematic review and meta-analysis.

Diabetes mellitus (DM), one of the most common comorbidities in patients with renal cell carcinoma (RCC), was proven to be an important prognostic factor of overall survival for these patients. Regarding the influence on renal function after nephrectomy, evidence is still scant. This systematic review and meta-analysis was conducted to provide a more reliable analysis of the association between DM and long-term renal functional outcomes after nephrectomy. The PubMed, Web of Science, Embase and Cochrane Library (CENTRAL) databases were searched for eligible studies from inception to January 2023. Hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted to evaluate the association between DM and renal functional outcomes using a random effects model. Stata 17.0 software was used for statistical analysis. The meta-analysis included thirteen studies consisting of 8562 RCC patients who underwent nephrectomy. Preoperative comorbidity of DM was significantly associated with poor renal functional outcomes (HR = 1.91, 95% CI 1.48-2.48, p < 0.0001), regardless of ethnicity, follow-up time, body mass index (BMI) and age. However, in the radical nephrectomy subgroup, DM was not significantly associated with renal function decline (HR = 1.91, 95% CI 0.93-3.90, p = 0.0781). The aggregate evidence indicated that preexisting DM may be associated with poor renal functional outcomes in patients with RCC after nephrectomy, especially in patients receiving partial nephrectomy. Urologists should focus more on the glycemic management of these patients after nephrectomy. More high-quality studies are needed to explore the influence of DM on renal function outcomes in postoperative patients.

Hemoglobin A1c in early pregnancy to identify preexisting diabetes mellitus and women at risk of hyperglycemic pregnancy complications

BackgroundUnrecognized diabetes during pregnancy could pose serious maternal and neonatal complications. A HbA1c level of ≥ 6.5% was used to diagnose both diabetes in non-pregnant individuals and diabetes in pregnancy (DIP). Since the level of HbA1c could be influenced by maternal physiological changes, the optimal cut-off in early pregnancy to detect women with DIP and associated complications remains unclear. ObjectiveTo evaluate the diagnostic performance of various HbA1c levels, as well as the optimal HbA1c cut-off to identify mothers with DIP diagnosed by the gold standard 75grams oral glucose tolerance test (OGTT) before 24 weeks of gestation. We also compared the pregnancy and neonatal outcomes using the optimal HbA1c cut-off. Study DesignA retrospective cohort study was conducted between 2004 and 2019. Women with at least one risk factor of gestational diabetes (GDM) received OGTT before 24 weeks of gestation. Terminology of hyperglycemia first detected during pregnancy by OGTT was classified as either DIP or GDM following the World Health Organization's recommendation. Women who met the diagnostic criteria of DIP and early onset GDM (i.e., before 24 weeks) and had a paired HbA1c measurement within 4 weeks of their early OGTT were studied. Sensitivity, specificity, positive and negative predictive value (PPV and NPV, respectively) at various HbA1c cut-offs were calculated for the detection of DIP. The optimal HbA1c level was identified from the constructed receiver operating characteristic (ROC) curves. Multivariate binary logistic regression analyses were performed to calculate the unadjusted and adjusted odds ratios for pregnancy complications. ResultThere were 63,111 deliveries and 22,949 underwent OGTT before 24 weeks of gestation. A total of 157 and 3210 women met the diagnostic criteria of DIP and early onset GDM by OGTT respectively. Only 346 subjects had a paired HbA1c and OGTT measurement (82 DIP and 264 early onset GDM). ROC curve identified an optimal HbA1c cut-off of 5.7% to diagnose DIP, with a sensitivity of 64.6%, specificity of 81.1%, PPV of 51.5% and NPV of 88.1%. Either HbA1c cut-off of 5.9% or 6.5% could miss 47.6% or 73.2% women with DIP. In multivariate logistic regression analysis, HbA1c of ≥ 5.7% increased the risk of maternal insulin use (aOR 6.69, 95%CI 3.44-12.99), macrosomia (aOR 7.43, 95%CI 1.90-29.00) and shoulder dystocia (aOR 6.56, 95%CI 1.161-37.032). ConclusionThe optimal HbA1c cut-off to detect DIP diagnosed by OGTT before 24 weeks was 5.7% but this cut-off could not reliably identify DIP owing to the low sensitivity. However, an early HbA1c level of ≥ 5.7% indicated increased risks of pregnancy and neonatal complications.

Abstract A009: Association between unstable diabetes mellitus and risk of pancreatic cancer

Abstract Worsening of hyperglycemia in people with pre-existing diabetes mellitus may be an indicator of undiagnosed pancreatic cancer. However, there is limited evidence from longitudinal studies regarding the association between deterioration of diabetes and pancreatic cancer in people with previously stable diabetes. The size of the association between deterioration of diabetes and pancreatic cancer, and how the association changes over time, needs further investigation. A population-based matched cohort study was conducted within Australian women with stable diabetes mellitus. Unstable diabetes, the exposure of interest, was defined as change in the type of antidiabetic medication or addition of another antidiabetic medication after at least 24 months of stable antidiabetic medication use. The date of exposure was defined as the index date. Each woman with unstable diabetes was matched to 4 women with stable diabetes by birth year (±1 year) at the index date. Flexible parametric survival models were used to estimate hazard ratios (HR) (overall and at different times) and 95% confidence intervals (CI), and absolute risk in both groups at different time points. We identified 134,954 women with unstable diabetes; these were matched to women who had not developed unstable diabetes at the index date. The mean age of the cohort was 68 years. Over a median follow-up period of 2.8 years, 1,315 pancreatic cancer cases were diagnosed. Overall, women who experienced deterioration in glycemic control had a 2.5-fold increased risk of developing pancreatic cancer (HR 2.55; 95% CI 2.29 – 2.85). The risk was very high during the initial few months [HRs at 3 months (5.76; 95% CI 4.72 – 7.04), 6 months (4.56; 95% CI 3.81 – 5.46), and 12 months (3.33; 95% CI 2.86 – 3.89)]. The risk then progressively declined with time. Worsening of glycemic control in those with previously stable diabetes may be an early clinical manifestation of pancreatic cancer. Further research is warranted to differentiate this pancreatic cancer-associated deterioration of glycemic control from other causes. The longer-term (3-7 years) weaker association between pancreatic cancer and deterioration of glycemic control suggests that poorly controlled hyperglycemia is a predisposing factor for pancreatic cancer. Citation Format: Sitwat Ali, Michael Coory, Peter Donovan, Renhua Na, Nirmala Pandeya, Sallie-Anne Pearson, Katrina Spilsbury, Louise Stewart, Bridie Thompson, Karen Tuesley, Mary Waterhouse, Penelope Webb, Susan Jordan, Rachel Neale. Association between unstable diabetes mellitus and risk of pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr A009.

Association of metformin with cardiovascular and graft outcomes in kidney transplant recipients with posttransplantation diabetes mellitus.

Posttransplantation diabetes mellitus (PTDM) is a crucial problem after kidney transplantation. We aimed to determine whether metformin affects cardiovascular and graft outcomes in patients with PTDM. This retrospective cohort study included 1,663 kidney transplant recipients without preexisting diabetes mellitus. The patients were divided into metformin and non-metformin groups, with matched propensity scores. We also estimated metformin's effect on percutaneous coronary intervention (PCI), major adverse cardiovascular events (MACEs), acute rejection, and graft failure. Of 634 recipients with PTDM, 406 recipients were treated with metformin. The incidence of PCI was 2.4% and 7.1% in the metformin and non-metformin groups, respectively (p = 0.04). The metformin group exhibited a lower risk of PCI in Cox regression analyses (hazard ratio [HR], 0.27; 95% confidence interval [CI], 0.10-0.77; p = 0.014), especially in subgroups with male sex, age over 49 years (median), long-term metformin use (mean of ≥1,729 days), and simultaneous tacrolimus administration. Long-term metformin use was also associated with lower incidence of MACEs (HR, 0.09; 95% CI, 0.01-0.67; p = 0.02). Incidence of graft failure was 9.9% and 17.0% in the metformin and non-metformin groups, respectively (p = 0.046). Both long-term use and higher dose of metformin, as well as tacrolimus administration with metformin, were associated with a lower risk of graft failure (HR, 0.29; 95% CI, 0.11-0.75; p = 0.01; HR, 0.39; 95% CI, 0.18-0.85; p = 0.02; and HR, 0.39; 95% CI, 0.19-0.79; p = 0.009, respectively). Metformin use is associated with a decreased risk of developing coronary artery disease and better graft outcomes in PTDM.

DIRECT AND INDIRECT CAUSAL EFFECTS OF AIR POLLUTANTS ON ALZHEIMER’S DISEASE RISK AND DISPARITIES

Abstract Ambient air contaminants have been associated with higher risk of Alzheimer’s disease (AD), related dementia, and cognitive impairment; however, mechanisms that underlay these effects remain unclear. Pre-existing arterial hypertension, diabetes mellitus, cerebrovascular disease, and renal disease have a strong impact on AD risk and disparities. These diseases, in turn, are associated with exposure to air contaminants, including particulate matter (PM2.5). We applied causal mediation analysis in the formulation of VanderWeele which provides causal estimates of the direct and indirect (through the effects on pre-existing diseases) effects of PM2.5 exposure on the risk of AD. We used Administrative Health Insurance Claims from 5%-Medicare (N=6,042,239; 1991-2020) to identify the date of onset for AD and risk related diseases such as arterial hypertension, diabetes, cerebrovascular, and kidney diseases that were considered mediators in these analyses. Information on ambient PM2.5 at the zip code level were derived from the Socioeconomic Data and Applications Center (SEDAC) that incorporates air monitoring data, satellite aerosol optical depth, meteorological conditions, chemical transport model simulations, and land-use variables. The estimates supported the hypotheses on the linear dependence of the dose-response function with higher effects for Males vs. Females, White vs. Black subpopulations, and stroke-belt states vs. other U.S. regions. We found that the contributions of indirect effects were stronger for younger older adults and reached up to 13% for cerebrovascular disease, 10% for arterial hypertension, 5% for diabetes, and 4% for chronic kidney disease. Analysis in subpopulations demonstrated health disparities in the effects of PM2.5 on AD risk.

Gestational Diabetes Mellitus: Association with Maternal and Neonatal Complications.

Background and objectives: Gestational diabetes mellitus (GDM) is known to be associated with pregnancy complications but there is limited evidence about the strength of these associations in recent clinical practice, especially after the introduction of strict guidelines for the management of pregnancies with GDM in a multidisciplinary team setting. The objectives of our study were to first compare the rates of complications in pregnancies with GDM with those that had pre-existing diabetes mellitus and those without diabetes; and second, to derive measures of effect size expressed as odds ratios after adjustment for confounding factors to assess the independent association of GDM in prediction of these pregnancy complications. Materials and Methods: This was a prospective cohort study undertaken at a large maternity unit in the United Kingdom between January 2010 and June 2022. We included singleton pregnancies that were booked at our unit at 11-13 weeks' gestation. Multivariate regression analysis was carried out to determine the risks of complications in pregnancies with GDM after adjusting for pregnancy characteristics. Risks were expressed as odds ratio (OR) (95% confidence intervals [CI]) and expressed graphically in forest plots. Results: The study population included 53,649 singleton pregnancies including 509 (1%) with pre-existing DM, 2089 (4%) with GDM and 49,122 (95%) pregnancies without diabetes. Multivariate regression analysis demonstrated that there was a significant independent contribution from GDM in the prediction of adverse outcomes, including maternal complications such as preterm delivery, polyhydramnios, preeclampsia and delivery of large for gestational age neonates and elective caesarean section (CS); and neonatal complications including admission to neonatal intensive care unit, hypoglycaemia, jaundice and respiratory distress syndrome. Conclusions: GDM is associated with an increased rate of pregnancy complications compared to those without diabetes, even after adjustment for maternal and pregnancy characteristics. GDM does not increase the risk of stillbirth, hypoxic ischaemic encephalopathy or neonatal death.

Influence of the DASH Diet on Gestational Weight Gain and Perinatal Outcomes in Women with Pre-Existing Diabetes Mellitus: A Randomized, Single-Blind, Controlled Clinical Trial.

This study aimed to investigate the influence of the dietary approaches to stop hypertension (DASH) diet on gestational weight gain and perinatal outcomes in pregnant women with pre-existing diabetes mellitus (PDM). A randomized, single-blind, controlled clinical trial was conducted with 68 pregnant women with PDM throughout prenatal care until delivery (18 weeks) at a public maternity hospital in Rio de Janeiro, Brazil (2016-2020). The standard diet adopted by the control group (standard diet group-SDG) contained 45-55% carbohydrates, 15-20% protein, and 25-30% lipids of the total energy intake. An adapted DASH diet, with a similar macronutrient composition, but with higher calcium, potassium, magnesium, fiber, and reduced saturated fat, was prescribed for the intervention group (DASH diet group-DDG). Student's t- or Mann-Whitney U tests were used to compare outcomes between groups. To assess the trajectory of gestational weight gain throughout the intervention between the study groups, linear mixed-effects regression models were used. The DDG had lower gestational weight gain at the fifth (p = 0.03) and seventh appointment (p = 0.04), with no difference in average total gestational weight gain (SDG: 10 kg [SD = 4]; DDG: 9 kg [SD = 5], p = 0.23). There was a trend for a lower length of stay of the newborns (p = 0.08) in the DDG without differences for other perinatal outcomes. The DASH diet promoted less variation in gestational weight gain without promoting a difference in total gestational weight gain, and there was no difference between the study groups for perinatal outcomes.

New-Onset Diabetes Mellitus in COVID-19: A Scoping Review.

The coronavirus disease 2019 (COVID-19) pandemic became superimposed on the pre-existing obesity and diabetes mellitus (DM) pandemics. Since COVID-19 infection alters the metabolic equilibrium, it may induce pathophysiologic mechanisms that potentiate new-onset DM, and we evaluated this issue. A systematic review of the literature published from the 1 January 2020 until the 20 July 2023 was performed (PROSPERO registration number CRD42022341638). We included only full-text articles of both human clinical and randomized controlled trials published in English and enrolling adults (age > 18years old) with ongoing or preceding COVID-19 in whom hyperglycemia was detected. The search was based on the following criteria: "(new-onset diabetes mellitus OR new-onset DM) AND (COVID-19) AND adults". Articles on MEDLINE (n = 70) and the Web of Science database (n = 16) were included and analyzed by two researchers who selected 20 relevant articles. We found evidence of a bidirectional relationship between COVID-19 and DM. This link operates as a pathophysiological mechanism supported by epidemiological data and also by the clinical and biological findings obtained from the affected individuals. The COVID-19 pandemic raised the incidence of DM through different pathophysiological and psychosocial factors.

Maternal and neonatal complications in pregnancies with and without pre-gestational diabetes mellitus.

To compare pregnancy complications in pregnancies with and without pre-gestational diabetes mellitus (DM) managed in a multidisciplinary high-risk diabetes antenatal clinic. This screening cohort study was undertaken at alarge maternity unit in the United Kingdom between January 2010 and December 2022. We included singleton pregnancies that booked at our unit at 11-13weeks' gestation. Univariate and multivariate logistic regression analysis was carried out to determine risks of complications in pregnancies with type 1 and type 2 DM after adjusting formaternal and pregnancy characteristics. Effect sizes were expressed as absolute risks (AR) and odds ratio (OR) (95 % confidence intervals [CI]). The study population included 53,649 singleton pregnancies, including 509 (1.0 %) with pre-existing DM and49,122 (99.0 %) without diabetes. Multivariate logistic regression analysis demonstrated that there was a significant contribution from pre-existing DM in prediction of adverse outcomes, including antenatal complications such as fetal defects, stillbirth, preterm delivery, polyhydramnios, preeclampsia and delivery of large for gestational age (LGA) neonates; intrapartum complications such as caesarean delivery (CS) and post-partum haemorrhage; and neonatal complications including admission to neonatal intensive care unit, hypoglycaemia, jaundice and hypoxic ischaemic encephalopathy (HIE). In particular, there was a 5-fold increased risk of stillbirth and HIE. The maternal and neonatal complications inpregnancies with pre-existing DM are significantly increased compared to those without DM despite a decade of intensive multidisciplinary antenatal care. Further research is required to investigate strategies and interventions toprevent morbidity and mortality in pregnancies with pre-gestational DM.

Association between stillbirth and severe maternal morbidity

Severe maternal morbidity has been increasing in the past few decades. Few studies have examined the risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries. This study aimed to examine the prevalence and risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries during delivery hospitalization as a primary outcome and during the postpartum period as a secondary outcome. This was a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from California (2008-2018), Michigan (2008-2020), Missouri (2008-2014), Pennsylvania (2008-2014), and South Carolina (2008-2020). Relative risk regression analysis was used to examine the crude and adjusted relative risks of severe maternal morbidity along with 95% confidence intervals among individuals with stillbirths vs individuals with live-birth deliveries, adjusting for birth year, state of residence, maternal sociodemographic characteristics, and the obstetric comorbidity index. Of the 8,694,912 deliveries, 35,012 (0.40%) were stillbirths. Compared with individuals with live-birth deliveries, those with stillbirths were more likely to be non-Hispanic Black (10.8% vs 20.5%); have Medicaid (46.5% vs 52.0%); have pregnancy complications, including preexisting diabetes mellitus (1.1% vs 4.3%), preexisting hypertension (2.3% vs 6.2%), and preeclampsia (4.4% vs 8.4%); have multiple pregnancies (1.6% vs 6.2%); and reside in South Carolina (7.4% vs 11.6%). During delivery hospitalization, the prevalence rates of severe maternal morbidity were 791 cases per 10,000 deliveries for stillbirths and 154 cases per 10,000 deliveries for live-birth deliveries, whereas the prevalence rates for nontransfusion severe maternal morbidity were 502 cases per 10,000 deliveries for stillbirths and 68 cases per 10,000 deliveries for live-birth deliveries. The crude relative risk for severe maternal morbidity was 5.1 (95% confidence interval, 4.9-5.3), whereas the adjusted relative risk was 1.6 (95% confidence interval, 1.5-1.8). For nontransfusion severe maternal morbidity among stillbirths vs live-birth deliveries, the crude relative risk was 7.4 (95% confidence interval, 7.0-7.7), whereas the adjusted relative risk was 2.0 (95% confidence interval, 1.8-2.3). This risk was not only elevated among individuals with stillbirth during the delivery hospitalization but also through 1 year after delivery (severe maternal morbidity adjusted relative risk, 1.3; 95% confidence interval, 1.1-1.4; nontransfusion severe maternal morbidity adjusted relative risk, 1.2; 95% confidence interval, 1.1-1.3). Stillbirth was found to be an important contributor to severe maternal morbidity.

Assessment of Thyroid Dysfunction Among Pregnant Women With Pre-Existing Diabetes Mellitus or Gestational Diabetes Mellitus.

Objective This study investigates the prevalence and risk of thyroid disturbances in pregnant women with pre-existing diabetes mellitus (DM) or gestational diabetes mellitus (GDM) in a tertiary hospital setting in Riyadh, SA. This research's findings may help identify potential risk factors associated with thyroid disturbances during pregnancy and facilitate early diagnosis for at-risk pregnant women. Subjects and methods A retrospective cross-sectional study was conducted at an endocrinology clinic between October 2018 and December 2021 to evaluate the electronic records of pregnant women with DM or GDM who had documented normal thyroid function before pregnancy. Results Three hundred ninety-six files that met the selection criteria were deeply investigated and analyzed. The analysis showed that 378 (95.5%) patients were of Saudi nationality, and the mean age in years ± SD for the selected patients was 34.23 ± 5.468. The prevalence of obesity was 63.7%, with a mean body mass index (BMI) of 32.78 ± 6.78 kg/m2. The patients in this study were categorized into three groups based on their type of DM: 57 were diagnosed with type 1 DM (14.4%), 120 with type 2 DM (30.3%), and 219 with GDM (55.3%). The study identified 43 patients (10.85%) with subclinical hypothyroidism and 74 (18.69%) with hypothyroidism. Among the remaining patients, thyroid function was within the normal range for 264 (66.67%). The study also identified eight patients (2.02%) with subclinical hyperthyroidism and seven (1.77%) with hyperthyroidism. The prevalence of thyroid dysfunction was reported at 33.4%, with most of the dysfunction observed in the GDM group (20.7%). By comparison, the type 1 DM and type 2 DM groups presented a lower prevalence of thyroid dysfunction, accounting for only 4.1% and 8.6%, respectively. Conclusions Hypothyroidism, both clinical and subclinical, is more prevalent among patients with GDM than individuals with type 1 and type 2 DM. Research suggests a greater risk of developing hypothyroidism in patients with an increased BMI and among those older during pregnancy.