Diabetes Complications Severity Index (DCSI)-Update and ICD-10 translation

Follow up care for adults with diabetes treated for severe hypoglycemia by emergency medical Services, 2013-2019

AIMS

To capture the types and content of healthcare encounters following severe hypoglycemia requiring emergency medical services (EMS) and to correlate their features with subsequent risk of severe hypoglycemia.

METHODS

A retrospective cohort was obtained by linking data from a multi-state health system and an advanced life support ambulance service. This identified 1977 EMS calls by 1028 adults with diabetes experiencing hypoglycemia between 1/1/2013-12/31/2019. We evaluated the healthcare engagement over the following 7 days to identify rates of discussion of hypoglycemia, change of diabetes medications, glucagon prescribing, and referral for diabetes.

RESULTS

Rates of hypoglycemia discussion increased with escalating levels of care, from 11.5 % after EMS calls without emergency department (ED) transport or outpatient clinical encounters to 98 % among hospitalized patients with outpatient follow-up. EMS transport and outpatient follow-up were associated with significantly higher odds of discussion of hypoglycemia (OR 60 and OR 22.1, respectively). Interventions were not impacted by previous severe hypoglycemia within 30 days. Prescription of glucagon was rare among all patients.

CONCLUSIONS

Interventions to prevent recurrent hypoglycemia increase with escalating levels of care but remain inadequate and inconsistent with clinical guidelines. Greater attention is needed to ensure timely diabetes-related follow-up and treatment modification for patients experiencing severe hypoglycemia.

Investigation of geographic disparities of diabetes-related hospitalizations in Florida using flexible spatial scan statistics: An ecological study

BACKGROUND

Hospitalizations due to diabetes complications are potentially preventable with effective management of the condition in the outpatient setting. Diabetes-related hospitalization (DRH) rates can provide valuable information about access, utilization, and efficacy of healthcare services. However, little is known about the local geographic distribution of DRH rates in Florida. Therefore, the objectives of this study were to investigate the geographic distribution of DRH rates at the ZIP code tabulation area (ZCTA) level in Florida, identify significant local clusters of high hospitalization rates, and describe characteristics of ZCTAs within the observed spatial clusters.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Raw and spatial empirical Bayes smoothed DRH rates were computed at the ZCTA level. High-rate DRH clusters were identified using Tango's flexible spatial scan statistic. Choropleth maps were used to display smoothed DRH rates and significant high-rate spatial clusters. Demographic, socioeconomic, and healthcare-related characteristics of cluster and non-cluster ZCTAs were compared using the Wilcoxon rank sum test for continuous variables and Chi-square test for categorical variables.

RESULTS

There was a total of 554,133 diabetes-related hospitalizations during the study period. The statewide DRH rate was 8.5 per 1,000 person-years, but smoothed rates at the ZCTA level ranged from 0 to 101.9. A total of 24 significant high-rate spatial clusters were identified. High-rate clusters had a higher percentage of rural ZCTAs (60.9%) than non-cluster ZCTAs (41.8%). The median percent of non-Hispanic Black residents was significantly (p < 0.0001) higher in cluster ZCTAs than in non-cluster ZCTAs. Populations of cluster ZCTAs also had significantly (p < 0.0001) lower median income and educational attainment, and higher levels of unemployment and poverty compared to the rest of the state. In addition, median percent of the population with health insurance coverage and number of primary care physicians per capita were significantly (p < 0.0001) lower in cluster ZCTAs than in non-cluster ZCTAs.

CONCLUSIONS

This study identified geographic disparities of DRH rates at the ZCTA level in Florida. The identification of high-rate DRH clusters provides useful information to guide resource allocation such that communities with the highest burdens are prioritized to reduce the observed disparities. Future research will investigate determinants of hospitalization rates to inform public health planning, resource allocation and interventions.

Glycemic Control and Obesity Among People With Type 2 Diabetes in Europe and Australia: A Retrospective Cohort Analysis

INTRODUCTION

In people with type 2 diabetes (PwT2D) who also have obesity, efforts targeting weight loss, including lifestyle, medication and surgical interventions, are recommended. The objective of this study was to explore the relationship between glycemic control and obesity among PwT2D in Europe and Australia using recent real-world data and applying consistent methodology across countries.

METHODS

Retrospective study utilizing IQVIA electronic medical records (EMR) databases grouped into panels based on specialty of contributing physicians. General practitioner (GP) and endocrinologist/diabetologist (E/D) panels were used in Germany and France, while GP panels were used in Italy, UK and Australia. The Spanish database included all physician specialties. The sample included PwT2D with glycated hemoglobin A1c (HbA1c) and body mass index (BMI) values measured within 90 days of each other between January 2015 and December 2018 (second record termed the 'index date'). PwT2D had a 1-year baseline period and a recorded HbA1c at the end of the 1-year post-index period.

RESULTS

The final sample comprised 194,729 PwT2D. At baseline, across countries/panels, 36.8-58.0% were above HbA1c target (HbA1c ≥ 7%) and 39.4-56.7% had obesity (BMI ≥ 30.0 kg/m2). Mean HbA1c ranged from 6.9 to 7.6% and mean BMI ranged from 29.3-31.6 kg/m2. At baseline, a higher proportion of PwT2D with obesity (40.8-64.2%) were above HbA1c target compared to their counterparts without obesity (32.2-52.4%). A higher proportion of patients with obesity at baseline (38.1-60.6%) had post-index HbA1c above target compared to their counterparts without obesity (30.9-56.0%). In logistic regression, patients with obesity had substantially lower odds of post-index HbA1c below target compared to those without obesity in all countries/panels except for France (E/D), Spain and Australia.

CONCLUSIONS

This study presents data on HbA1c and BMI among type 2 diabetes (T2D) populations in Europe and Australia. A notable proportion of PwT2D had obesity and were above HBA1c target. Higher BMI was associated with poorer glycemic control.

Erythropoiesis-Stimulating Agents and the Risk of Vision-Threatening Diabetic Retinopathy

PURPOSE

Animal studies have suggested that Erythropoiesis-Stimulating Agents (ESAs) may increase vascular endothelial growth factor (VEGF)-related retinopathies, but this effect is unclear in humans. This study evaluates the risk of vision-threatening diabetic retinopathy (VTDR), defined as either diabetic macular edema (DME) or proliferative diabetic retinopathy (PDR), in patients exposed to an ESA.

METHODS

Two analyses were performed. First, a retrospective matched-cohort study was designed using a de-identified commercial and Medicare Advantage medical claims database. The ESA cohort of non-proliferative diabetic retinopathy patients who were new users of an ESA from 2000 to 2022 was matched to controls up to a 3:1 ratio. Exclusion criteria included less than 2 years in the plan, history of VTDR or history of other retinopathy. Multivariable Cox proportional hazards regression with inverse proportional treatment weighting (IPTW) was used to assess the hazard of developing VTDR, DME, and PDR. The second analysis was a self-controlled case series (SCCS) evaluating the incidence rate ratios (IRR) of VTDR during 30-day periods before and after initiating an ESA.

RESULTS

After inclusion of 1502 ESA-exposed patients compared with 2656 controls, IPTW-adjusted hazard ratios found the ESA cohort had an increased hazard of progressing to VTDR (HR = 3.0 95%CI:2.3-3.8;p < .001) and DME (HR = 3.4,95%CI:2.6-4.4,p < .001), but not PDR (HR = 1.0,95%CI:0.5-2.3,p = .95). Similar results were found within the SCCS which demonstrated higher IRRs for VTDR (IRRs = 1.09-1.18;p < .001) and DME (IRRs = 1.16-1.18;p < .001), but not increased IRRs in PDR (IRR = 0.92-0.97,p = .02-0.39).

CONCLUSION

ESAs are associated with higher risks for VTDR and DME, but not PDR. Those studying ESAs as adjunctive therapy for DR should be cautious of possible unintended effects.

The role of traditional Chinese medicine on fracture surgery, hospitalization, and total mortality risks in diabetic patients with osteoporosis

BACKGROUND

Studies have confirmed that osteoporosis has been considered as one of the complications of diabetes, and the health hazards to patients are more obvious. This study is mainly based on the Taiwan National Health Insurance Database (TNHID). Through the analysis of TNHID, it is shown that the combined treatment of traditional Chinese medicine (TCM) medicine in patients of diabetes with osteoporosis (T2DOP) with lower related risks.

METHODS

According to the study design, 3131 patients selected from TNHID who received TCM treatment were matched by 1-fold propensity score according to gender, age, and inclusion date as the control group. Cox proportional hazards analyzes were performed to compare fracture surgery, hospitalization, and all-cause mortality during a mean follow-up from 2000 to 2015.

RESULTS

A total of 1055/1469/715 subjects (16.85%/23.46%/11.42%) had fracture surgery/inpatient/all-cause mortality of which 433/624/318 (13.83%/19.93%/10.16%) were in the TCM group) and 622/845/397 (19.87%/26.99%/12.68%) in the control group. Cox proportional hazards regression analysis showed that subjects in the TCM group had lower rates of fracture surgery, inpatient and all-cause mortality (adjusted HR = 0.467; 95% CI = 0.225-0.680, P<0.001; adjusted HR = 0.556; 95% CI = 0.330-0.751, P<0.001; adjusted HR = 0.704; 95% CI = 0.476-0.923, P = 0.012). Kaplan-Meier analysis showed that the cumulative risk of fracture surgery, inpatient and all-cause mortality was significantly different between the case and control groups (all log-rank p<0.001).

CONCLUSION

This study provides longitudinal evidence through a cohort study of the value of integrated TCM for T2DOP. More research is needed to fully understand the clinical significance of these results.

Glycemic and Cost Outcomes among Hispanic/Latino People with Type 2 Diabetes in the USA Initiating Dulaglutide versus Basal Insulin: a Real-World Study

INTRODUCTION

Optimal glycemic management after diabetes onset remains a challenge in Hispanic/Latino adults with type 2 diabetes (T2D), often resulting in poor health outcomes and higher rates of diabetes-related complications. The aim of this study was to examine and compare demographic and clinical characteristics, glycemic outcomes, health care resource utilization (HCRU), and costs among injection-naïve Hispanic/Latino adults with T2D initiating dulaglutide or basal insulin.

METHODS

This retrospective, observational study used administrative claims data from the Optum Research Database. Hispanic/Latino adults with T2D were assigned to dulaglutide or basal insulin cohorts on the basis of pharmacy claims and were propensity-score matched on demographic and baseline characteristics. Measures of glycemic management included 12 month follow-up glycated hemoglobin (HbA1c) and change in HbA1c from baseline. Follow-up all-cause and diabetes-related HCRU and costs, including costs per 1% change in HbA1c, were compared between cohorts.

RESULTS

The final propensity-score matched sample included 2872 patients: 1436 patients in each cohort. Mean (SD) reduction in HbA1c from baseline to 12 month follow-up was greater in the dulaglutide cohort compared with the basal insulin cohort [-1.40% (1.88) versus -0.92% (2.07); p < 0.001]. The dulaglutide cohort had significantly lower proportions of patients with ≥ 1 all-cause and diabetes-related outpatient visits, emergency room visits, and inpatient stays compared with the basal insulin cohort (p < 0.05). The dulaglutide cohort had significantly lower all-cause total costs per 1% HbA1c reduction than the basal insulin cohort ($13,768 versus $19,128; p < 0.001). Diabetes-related costs per 1% reduction were numerically lower for the dulaglutide cohort, but the difference was not statistically significant ($9737 versus $11,403; p = 0.081).

CONCLUSIONS

Dulaglutide demonstrated better glycemic outcomes and lower all-cause costs per 1% HbA1c reduction among Hispanic/Latino adults compared with those initiating basal insulin. Our real-world findings in the Hispanic/Latino population were consistent with results obtained from the overall population and confirm the glycemic benefits of dulaglutide observed in clinical settings.

Diabetes-related complications, glycemic levels, and healthcare utilization outcomes after therapeutic inertia in type 2 diabetes mellitus

AIMS

To assess diabetes-related complications, glycemic levels, and healthcare utilization 12 months after exposure to therapeutic inertia among patients with type 2 diabetes mellitus (T2D).

METHODS

This retrospective cohort study analyzed data from the OneFlorida Clinical Research Consortium (electronic health records from Florida practices/clinics). The cohort included adult patients (≥18 years old) with T2D who had an HbA1c≥7.0% (53 mmol/mol) recorded from January 1, 2014-September 30, 2019. Therapeutic inertia (exposed vs. not exposed) was evaluated during the six months following HbA1c≥7.0% (53 mmol/mol). The outcomes assessed during the 12-month follow-up period included diabetes-related complications (continuous Diabetes Complications and Severity Index (DCSI)), glycemic levels (continuous follow-up HbA1c lab), and healthcare utilization counts. We analyzed data using multivariable regression models, adjusting for covariates.

RESULTS

The cohort included 26,881 patients with T2D (58.94% White race, 49.72% female, and mean age of 58.82 (SD=13.09)). After adjusting for covariates, therapeutic inertia exposure was associated with lower DCSI (estimate=-0.14 (SE=0.03), p < 0.001), higher follow-up HbA1c (estimate=0.14 (SE=0.04), p < 0.001), and lower rates of ambulatory visits (rate ratio=0.79, 95% CI=0.75-0.82).

CONCLUSIONS

Findings communicate the clinical practice implications and public health implications for combating therapeutic inertia in diabetes care.

The impact of physical disability on the risk of gastric cancer incidence in elderly patients with diabetes: a focus on regional disparity

PURPOSE

Elderly patients with type 2 diabetes mellitus (T2DM) may have a higher risk of physical disability. This study investigated the incidence of gastric cancer according to physical disability status in elderly patients with T2DM.

METHODS

The National Health Insurance Service claims data were used. A total of 76,162 participants aged 60 years or above, diagnosed with T2DM, were included. The association between physical disability status and gastric cancer incidence was evaluated using the Cox regression analysis. Additionally, subgroup analysis was performed according to region.

RESULTS

A total of 9,154 (12.0%) individuals had physical disability. Gastric cancer incidence was more common in participants with physical disability (3.3%) than those without (2.4%). A higher risk of gastric cancer incidence was found in elderly T2DM patients with physical disability (Hazard Ratio (HR) 1.18, 95% Confidence Interval (95% CI) 1.04-1.34). Such tendencies were maintained regardless of region, although the effect of physical disability status on gastric cancer incidence was particularly significant in individuals residing in non-metropolitan areas (HR: 1.19, 95% CI: 1.01-1.40).

CONCLUSION

Elderly patients with T2DM who had physical disability showed a higher risk of gastric cancer incidence. The findings suggest a need to monitor elderly T2DM patients with disability as they may be susceptible to difficulties in accessing cancer-related healthcare.

Similar Risk of Kidney Failure among Patients with Blinding Diseases Who Receive Ranibizumab, Aflibercept, and Bevacizumab: An Observational Health Data Sciences and Informatics Network Study

PURPOSE

To characterize the incidence of kidney failure associated with intravitreal anti-VEGF exposure; and compare the risk of kidney failure in patients treated with ranibizumab, aflibercept, or bevacizumab.

DESIGN

Retrospective cohort study across 12 databases in the Observational Health Data Sciences and Informatics (OHDSI) network.

SUBJECTS

Subjects aged ≥ 18 years with ≥ 3 monthly intravitreal anti-VEGF medications for a blinding disease (diabetic retinopathy, diabetic macular edema, exudative age-related macular degeneration, or retinal vein occlusion).

METHODS

The standardized incidence proportions and rates of kidney failure while on treatment with anti-VEGF were calculated. For each comparison (e.g., aflibercept versus ranibizumab), patients from each group were matched 1:1 using propensity scores. Cox proportional hazards models were used to estimate the risk of kidney failure while on treatment. A random effects meta-analysis was performed to combine each database's hazard ratio (HR) estimate into a single network-wide estimate.

MAIN OUTCOME MEASURES

Incidence of kidney failure while on anti-VEGF treatment, and time from cohort entry to kidney failure.

RESULTS

Of the 6.1 million patients with blinding diseases, 37 189 who received ranibizumab, 39 447 aflibercept, and 163 611 bevacizumab were included; the total treatment exposure time was 161 724 person-years. The average standardized incidence proportion of kidney failure was 678 per 100 000 persons (range, 0-2389), and incidence rate 742 per 100 000 person-years (range, 0-2661). The meta-analysis HR of kidney failure comparing aflibercept with ranibizumab was 1.01 (95% confidence interval [CI], 0.70-1.47; P = 0.45), ranibizumab with bevacizumab 0.95 (95% CI, 0.68-1.32; P = 0.62), and aflibercept with bevacizumab 0.95 (95% CI, 0.65-1.39; P = 0.60).

CONCLUSIONS

There was no substantially different relative risk of kidney failure between those who received ranibizumab, bevacizumab, or aflibercept. Practicing ophthalmologists and nephrologists should be aware of the risk of kidney failure among patients receiving intravitreal anti-VEGF medications and that there is little empirical evidence to preferentially choose among the specific intravitreal anti-VEGF agents.

FINANCIAL DISCLOSURES

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Durability of Effectiveness Between Users of Once-Weekly Semaglutide and Dipeptidyl Peptidase 4 Inhibitors (DPP-4i) in US Adults with Type 2 Diabetes

INTRODUCTION

Long-term effectiveness and durability of glucose-lowering medications are important considerations in managing type 2 diabetes (T2D). This study aimed to compare durability of treatment efficacy of once-weekly (OW) semaglutide for T2D with that of the dipeptidyl peptidase 4 inhibitor (DPP-4i) class.

METHODS

This observational cohort study used 2017-2022 data from the Optum® Clinformatics® Data Mart to compare long-term clinical outcomes associated with semaglutide or DPP-4i in US adults with T2D. The primary outcomes were HbA1c at 2-year follow-up, change in HbA1c from baseline, and the odds of achieving HbA1c targets. BMI at 2-year follow-up, change in BMI from baseline, odds of reducing BMI category, and the need for treatment augmentation were exploratory outcomes. Bivariate and multivariate analyses were conducted using inverse probability of treatment weighting (IPTW) weighted descriptive statistics.

RESULTS

Weighted HbA1c and BMI cohorts included 865 and 642 semaglutide users and 779 and 537 DPP-4i users, respectively. In the weighted HbA1c cohort, semaglutide and DPP-4i users had an average age of 60 years and similar baseline characteristics including HbA1c level and comorbidity status. Two-year follow-up HbA1c with semaglutide was 0.56% lower than with DPP-4i; reduction in HbA1c from baseline was 0.61% greater. Odds of achieving HbA1c level < 7% were 2.16 times greater after covariate adjustment (all, p < 0.001). Semaglutide was associated with 1.03 kg/m2 greater reduction in BMI and 2.27 times greater odds of reducing BMI category vs DPP-4i (p < 0.001). Semaglutide users were less likely to add new glucose-lowering treatment (hazard ratio [HR] 0.57; p < 0.001) or initiate insulin (HR 0.49; p < 0.001) vs DPP-4i users.

CONCLUSION

Compared with DPP-4i, semaglutide was associated with lower follow-up HbA1c and BMI, greater reduction in HbA1c and BMI from baseline, and reduced likelihood of requiring treatment augmentation or insulin initiation to manage T2D in US adults, suggesting better durability of semaglutide vs DPP-4i. INFOGRAPHIC.

An Economic Evaluation of the Relationship Between Glycemic Control and Total Healthcare Costs for Adults with Type 2 Diabetes: Retrospective Cohort Study

INTRODUCTION

Glycemic control is associated with better outcomes among individuals with type 2 diabetes (T2D). This research examines total US all-cause medical costs for adults with T2D with recommended glycemic control (HbA1c < 7%) compared to poor glycemic control (HbA1c ≥ 7%).

METHODS

The study used administrative claims data linked to HbA1c laboratory test results from January 1, 2015 through June 30, 2021 to identify adults with T2D with a recorded HbA1c test. Patients with recommended glycemic control at index date were propensity score matched to patients with poor glycemic control. General linear models and two-part models were used to compare all-cause outpatient, drug, acute care and total costs for 1 year post index date.

RESULTS

The study included 59,830 propensity-matched individuals. Results indicate that recommended glycemic control, compared to poor glycemic control, was associated with statistically significantly lower all-cause acute care ($23,868 ± $21,776 vs. $24,352 ± $22,223), drug ($10,277 ± $14,671 vs. $10,540 ± $14,928), and total medical costs ($41,381 ± $42,757 vs. $42,054 ± $43,422) but significantly higher outpatient costs ($7290 ± $12,028 vs. $7026 ± $11,587) (all p < 0.0001). Sensitivity analyses examined results based upon alternative HbA1c thresholds of ≤ 6.5% and < 8%. Results were generally robust to alternative HbA1c thresholds, with higher HbA1c thresholds associated with higher all-cause total costs as well as increased savings for having HbA1c below threshold.

CONCLUSIONS

Glycemic control was associated with significantly lower all-cause total, drug, and acute care medical costs. Given the high prevalence of T2D in the USA, our results suggest potential economic benefits associated with glycemic control for healthcare providers.

Type 2 Diabetes Status, Diabetes Complication Severity Index Scores, and Their Relationship With COVID-19 Severity: A Retrospective Cohort Study of Hospitalized Patients in a Southwest Virginia Health System

Background Studies have shown that patients with type 2 diabetes mellitus (T2DM) tend to have poorer outcomes associated with COVID-19, including increased rates of hospitalization, ICU admission, need for ventilatory support, and mortality. Methods We performed a retrospective cohort study that included all non-pregnant adult patients who were hospitalized as a result of COVID-19 in a Southwest Virginia health system between March 18, 2020, and August 31, 2022. T2DM status was treated as a binary variable. T2DM severity was assessed using the Diabetes Complications Severity Index (DCSI). Multivariate logistic regression was used to assess the relationship between T2DM status and COVID-19 severity outcomes. Multivariate logistic regression was also used to assess the relationship between DCSI score and COVID-19 severity outcomes among patients with an established diagnosis of T2DM at the time of COVID-19 hospital admission. Results Patients with T2DM had 1.27 times the odds of experiencing a poor COVID-19 clinical outcome (95% CI: 1.13, 1.43) and 1.35 times the odds of in-hospital mortality (95% CI: 1.14, 1.59) compared to patients without diabetes. Among patients with T2DM, increasing DCSI score was significantly associated with increased odds of experiencing a poor COVID-19 clinical outcome and in-hospital mortality. Conclusions Diabetic patients in our sample were at increased odds of experiencing poor COVID-19 clinical outcomes and in-hospital mortality compared to individuals without diabetes. Amongst patients with T2DM, increasing DCSI score was associated with worse COVID-19 outcomes. Clinical decision support tools may be able to utilize DCSI scores as an indicator of COVID-19 severity risk to facilitate decisions regarding treatment aggressiveness and resource allocation.

Determinants of disparities of diabetes-related hospitalization rates in Florida: a retrospective ecological study using a multiscale geographically weighted regression approach

BACKGROUND

Early diagnosis, control of blood glucose levels and cardiovascular risk factors, and regular screening are essential to prevent or delay complications of diabetes. However, most adults with diabetes do not meet recommended targets, and some populations have disproportionately high rates of potentially preventable diabetes-related hospitalizations. Understanding the factors that contribute to geographic disparities can guide resource allocation and help ensure that future interventions are designed to meet the specific needs of these communities. Therefore, the objectives of this study were (1) to identify determinants of diabetes-related hospitalization rates at the ZIP code tabulation area (ZCTA) level in Florida, and (2) assess if the strengths of these relationships vary by geographic location and at different spatial scales.

METHODS

Diabetes-related hospitalization (DRH) rates were computed at the ZCTA level using data from 2016 to 2019. A global ordinary least squares regression model was fit to identify socioeconomic, demographic, healthcare-related, and built environment characteristics associated with log-transformed DRH rates. A multiscale geographically weighted regression (MGWR) model was then fit to investigate and describe spatial heterogeneity of regression coefficients.

RESULTS

Populations of ZCTAs with high rates of diabetes-related hospitalizations tended to have higher proportions of older adults (p < 0.0001) and non-Hispanic Black residents (p = 0.003). In addition, DRH rates were associated with higher levels of unemployment (p = 0.001), uninsurance (p < 0.0001), and lack of access to a vehicle (p = 0.002). Population density and median household income had significant (p < 0.0001) negative associations with DRH rates. Non-stationary variables exhibited spatial heterogeneity at local (percent non-Hispanic Black, educational attainment), regional (age composition, unemployment, health insurance coverage), and statewide scales (population density, income, vehicle access).

CONCLUSIONS

The findings of this study underscore the importance of socioeconomic resources and rurality in shaping population health. Understanding the spatial context of the observed relationships provides valuable insights to guide needs-based, locally-focused health planning to reduce disparities in the burden of potentially avoidable hospitalizations.

Real-world glycaemic outcomes in patients with type 1 diabetes using glucose sensors-Experience from a single centre in Dublin

AIMS

To evaluate changes in glycated haemoglobin (HbA1 c) and sensor-based glycaemic metrics after glucose sensor commencement in adults with T1D.

METHODS

We performed a retrospective observational single-centre study on HbA1 c, and sensor-based glycaemic data following the initiation of continuous glucose monitoring (CGM) in adults with T1D (n = 209).

RESULTS

We observed an overall improvement in HbA1 c from 66 (59-78) mmol/mol [8.2 (7.5-9.3)%] pre-sensor to 60 (53-71) mmol/mol [7.6 (7.0-8.6)%] on-sensor (p < .001). The pre-sensor HbA1 c improved from 66 (57-74) mmol/mol [8.2 (7.4-8.9)%] to 62 (54-71) mmol/mol [7.8 (7.1-8.7)%] within the first year of usage to 60 (53-69) mmol/mol [7.6 (7.0-8.4)%] in the following year (n = 121, p < .001). RT-CGM-user had a significant improvement in HbA1 c (Dexcom G6; p < .001, r = 0.33 and Guardian 3; p < .001, r = 0.59) while a non-significant reduction was seen in FGM-user (Libre 1; p = .279). Both MDI (p < .001, r = 0.33) and CSII group (p < .001, r = 0.41) also demonstrated significant HbA1 c improvement. Patients with pre-sensor HbA1 c of ≥64 mmol/mol [8.0%] (n = 125), had attenuation of pre-sensor HbA1 c from 75 (68-83) mmol/mol [9.0 (8.4-9.7)%] to 67 (59-75) mmol/mol [8.2 (7.6-9.0)%] (p < .001, r = 0.44). Altogether, 25.8% of patients achieved the recommended HbA1 c goal of ≤53 mmol/mol and 16.7% attained the recommended ≥70% time in range (3.9-10.0 mmol/L).

CONCLUSIONS

Our study demonstrated that minimally invasive glucose sensor technology in adults with T1D is associated with improvement in glycaemic outcomes. However, despite significant improvements in HbA1 c, achieving the recommended goals for all glycaemic metrics remained challenging.

Investigation of predictors of severity of diabetes complications among hospitalized patients with diabetes in Florida, 2016-2019

BACKGROUND

Severe diabetes complications impact the quality of life of patients and may lead to premature deaths. However, these complications are preventable through proper glycemic control and management of risk factors. Understanding the risk factors of complications is important in guiding efforts to manage diabetes and reduce risks of its complications. Therefore, the objective of this study was to identify risk factors of severe diabetes complications among adult hospitalized patients with diabetes in Florida.

METHODS

Hospital discharge data from 2016 to 2019 were obtained from the Florida Agency for Health Care Administration through a Data Use Agreement with the Florida Department of Health. Adapted Diabetes Complications Severity Index (aDCSI) scores were computed for 1,061,140 unique adult patients with a diagnosis of diabetes. Severe complications were defined as those with an aDCSI ≥ 4. Population average models, estimated using generalized estimating equations, were used to identify individual- and area-level predictors of severe diabetes complications.

RESULTS

Non-Hispanic Black patients had the highest odds of severe diabetes complications compared to non-Hispanic White patients among both males (Odds Ratio [OR] = 1.20, 95% Confidence Interval [CI]: 1.17, 1.23) and females (OR = 1.27, 95% CI: 1.23, 1.31). Comorbidities associated with higher odds of severe complications included hypertension (OR = 2.30, 95% CI: 2.23, 2.37), hyperlipidemia (OR = 1.29, 95% CI: 1.27, 1.31), obesity (OR = 1.24, 95% CI: 1.21, 1.26) and depression (OR = 1.09, 95% CI: 1.07, 1.11), while the odds were lower for patients with a diagnosis of arthritis (OR = 0.81, 95% CI: 0.79, 0.82). Type of health insurance coverage was associated with the severity of diabetes complications, with significantly higher odds of severe complications among Medicare (OR = 1.85, 95% CI: 1.80, 1.90) and Medicaid (OR = 1.83, 95% CI: 1.77, 1.90) patients compared to those with private insurance. Residing within the least socioeconomically deprived ZIP code tabulation areas (ZCTAs) in the state had a protective effect compared to residing outside of these areas.

CONCLUSIONS

Racial, ethnic, and socioeconomic disparities in the severity of diabetes complications exist among hospitalized patients in Florida. The observed disparities likely reflect challenges to maintaining glycemic control and managing cardiovascular risk factors, particularly for patients with multiple chronic conditions. Interventions to improve diabetes management should focus on populations with disproportionately high burdens of severe complications to improve quality of life and decrease premature mortality among adult patients with diabetes in Florida.

Glycemic and Economic Outcomes in Elderly Patients with Type 2 Diabetes Initiating Dulaglutide Versus Basal Insulin in a Real-World Setting in the United States: The DISPEL-Advance Study

INTRODUCTION

Treatments like glucagon-like peptide-1 receptor agonists carry low hypoglycemia risk and are recommended for elderly patients with type 2 diabetes (T2D), while some routine treatments, like insulin, increase hypoglycemia risk. The DISPEL-Advance (Dulaglutide vs Basal InSulin in Injection Naïve Patients with Type 2 Diabetes: Effectiveness in ReaL World) study compared glycemic outcomes, healthcare resource utilization, and costs in elderly patients with T2D who initiated treatment with dulaglutide versus those initiating treatment with basal insulin.

METHODS

This observational, retrospective cohort study used data from the Optum Research Database. Medicare Advantage patients (≥ 65 years) with T2D were assigned to dulaglutide or basal insulin cohorts based on pharmacy claims and propensity score matched on demographic and baseline characteristics. Change in HbA1c, 12-months follow-up HbA1c, and follow-up all-cause and diabetes-related healthcare resource utilization and costs were compared.

RESULTS

Propensity score matching yielded well-balanced cohorts with 1891 patients each (mean age: dulaglutide, 72.09 years; basal insulin, 72.56 years). The dulaglutide cohort had significantly greater mean HbA1c reduction from baseline to follow-up than basal insulin cohort (- 0.95% vs - 0.69%; p < 0.001). The dulaglutide cohort had significantly lower mean all-cause and diabetes-related medical costs (all-cause: $8306 vs $12,176; diabetes-related: $4681 vs $7582 respectively; p < 0.001) and lower mean all-cause total costs ($18,646 vs $20,972, respectively; p = 0.007) than basal insulin cohort. The dulaglutide cohort had significantly lower all-cause and diabetes-related total costs per 1% change in HbA1c than basal insulin cohort (all-cause: $19,729 vs $30,334; diabetes-related: $12,842 vs $17,288, respectively; p < 0.001).

CONCLUSIONS

Elderly patients with T2D initiating dulaglutide had greater HbA1c reduction, lower mean all-cause medical and total costs, lower diabetes-related medical costs, and lower total all-cause and diabetes-related costs per 1% change in HbA1c than patients initiating basal insulin. Future studies assessing medications that do not increase hypoglycemia risk could help inform therapeutic strategies in elderly patients.

Longitudinal trajectories of glycemic control among U.S. Adults with newly diagnosed diabetes

AIMS

To identify longitudinal trajectories of glycemic control among adults with newly diagnosed diabetes, overall and by diabetes type.

METHODS

We analyzed claims data from OptumLabs® Data Warehouse for 119,952 adults newly diagnosed diabetes between 2005 and 2018. We applied a novel Mixed Effects Machine Learning model to identify longitudinal trajectories of hemoglobin A1c (HbA1c) over 3 years of follow-up and used multinomial regression to characterize factors associated with each trajectory.

RESULTS

The study population was comprised of 119,952 adults with newly diagnosed diabetes, including 696 (0.58%) with type 1 diabetes. Among patients with type 1 diabetes, 52.6% were diagnosed at very high HbA1c, partially improved, but never achieved control; 32.5% were diagnosed at low HbA1c and deteriorated over time; and 14.9% had stable low HbA1c. Among patients with type 2 diabetes, 67.7% had stable low HbA1c, 14.4% were diagnosed at very high HbA1c, partially improved, but never achieved control; 10.0% were diagnosed at moderately high HbA1c and deteriorated over time; and 4.9% were diagnosed at moderately high HbA1c and improved over time.

CONCLUSIONS

Claims data identified distinct longitudinal trajectories of HbA1c after diabetes diagnosis, which can be used to anticipate challenges and individualize care plans to improve glycemic control.

The incremental cost of non-alcoholic steatohepatitis and type 2 diabetes in the United States using real-world data

BACKGROUND

Non-alcoholic steatohepatitis (NASH) and type 2 diabetes (T2D) are both linked to substantial healthcare costs and are often co-occurring. We aim to quantify the incremental cost of NASH and T2D using real-world data.

METHODS

Adults (≥18 years old) with ≥2 diagnosis codes for NASH and/or ≥2 diagnosis codes for T2D between 1/1/2016 and 12/31/2021 and ≥24 months of continuous claims enrollment (study period) were identified in electronic health records or claims in the Veradigm Integrated Dataset. Patients were stratified into 3 cohorts: NASH-only, T2D-only, and NASH + T2D. We calculated annualized costs for the 24-month study period and fit a generalized linear model (excluding the most expensive 1%) that controlled for disease cohort, age, sex, and modified Charlson comorbidity index to estimate the per year all-cause healthcare costs and incremental cost of adding T2D to a NASH diagnosis (or vice versa).

RESULTS

We identified 23,111 patients diagnosed with NASH-only, 3,548,786 patients with T2D-only, and 30,339 patients with NASH + T2D. The model-predicted mean costs per year were $7,668 for patients with NASH-only, $11,226 for patients with T2D-only, and $16,812 for patients with NASH + T2D. The incremental increase in costs per year of adding T2D to NASH was 63% (+$4,846), and the incremental increase in costs per year of adding NASH to T2D was 42% (+$4,692).

CONCLUSIONS

Both NASH and T2D contribute to the high healthcare costs among patients with a dual diagnosis. Results from our analysis indicate that NASH comprises a high portion of total healthcare costs among patients with NASH and T2D.

Risk and dose-response relationship of diabetes mellitus for endophthalmitis after cataract surgery in a nationwide cohort study in Taiwan

BACKGROUND

To investigate the risk of endophthalmitis after cataract surgery in patients with diabetes mellitus (DM) and evaluate the dose-response relationship.

METHODS

This retrospective cohort study enrolled patients who underwent bilateral cataract surgeries from 2000 to 2017 in Taiwan National Health Insurance Research Database. The endophthalmitis rates within 3 months after cataract surgery were compared between DM and non-DM cohorts using a generalised estimating equation. The diabetes complications severity index (DSCI) score was adopted to assess the dose-response effect on the endophthalmitis rate.

RESULTS

A total of 883 398 patients (1 766 796 eyes) were included. Patients with DM had an increased risk of endophthalmitis after cataract surgery than patients without DM (0.261% vs. 0.242%, adjusted odds ratio = 1.09, 95% confidence interval = 1.03-1.16). The higher endophthalmitis rate in the DM group than in the non-DM group remains after excluding those with prior vitrectomy or intravitreal injection (IVI), and took IVI between the cataract surgery and endophthalmitis (p = 0.0156, 0.0048, and 0.0139). There was a significant dose-response relationship on the likelihood of endophthalmitis in DM patients when DCSI score >10. The endophthalmitis rate is highest among DM complications in patients with metabolic disorders (0.342%).

CONCLUSION

DM was a risk factor for endophthalmitis after cataract surgery after adjusting for age, sex, common systemic disorders, and excluding those with prior vitrectomy or IVI and having IVI between cataract surgery and endophthalmitis. A dose-response relationship was noted in DM patients with a DCSI score >10.

Characteristics of patients with chronic kidney disease and Type 2 diabetes initiating finerenone in the USA: a multi-database, cross-sectional study

Aim: Finerenone is safe and efficacious for treating patients with chronic kidney disease (CKD) and Type 2 diabetes (T2D). Evidence on the use of finerenone in clinical practice is lacking. Objective: To describe demographic and clinical characteristics of early adopters of finerenone in the United States, according to sodium-glucose cotransporter 2 inhibitor (SGLT2i) use and urine albumin-creatinine ratio (UACR) levels. Methods: Multi-database, observational, cross-sectional study, using data from two US databases (Optum Claims and Optum EHR). Three cohorts were included: finerenone initiators with prior CKD-T2D, finerenone initiators with prior CKD-T2D and concomitant SGLT2i use, finerenone initiators with prior CKD-T2D stratified according to UACR. Results: In total, 1015 patients were included, 353 from Optum Claims and 662 from Optum EHR. Mean age was 72.0 and 68.4 years in Optum claims and EHR, respectively. Median eGFR was 44 and 44 ml/min/1.73 m2; and median UACR was 132 (28-698)/365 (74-1185.4) mg/g, in Optum Claims and EHR, respectively. 70.5/70.4% were taking renin-angiotensin system inhibitors, 42.5/53.3% SGLT2i. Overall, 9.0/6.3% of patients had baseline UACR <30 mg/g, 15.0/20.2% had UACR 30-300 mg/g, and 14.4/27.6% had UACR >300 mg/g. Conclusion: Current management of patients with CKD-T2D reflects use of finerenone independently from background therapies and clinical characteristics, suggesting implementation of therapeutic strategies based on different modes of action.

Association of Metformin and Other Diabetes Medication Use and the Development of New-Onset Dry Age-Related Macular Degeneration: A Case-Control Study

Purpose

To investigate if metformin use is associated with decreased odds of developing new non-neovascular ("dry") age-related macular degeneration (AMD).

Methods

Case-control study examining 194,135 cases with diagnoses of new-onset AMD between 2008 and 2017 and 193,990 matched controls in the Merative MarketScan Research Databases. The diabetic subgroup included 49,988 cases and 49,460 controls. Multivariable conditional logistic regressions identified the risks of exposures on the development of dry AMD. Main outcome measures were odds ratios (ORs) of developing dry AMD with metformin use.

Results

In multivariable conditional logistic regression, any metformin use was associated with decreased odds of developing dry AMD (OR = 0.97; 95% confidence interval [CI], 0.95-0.99). This protective effect was noted for cumulative 2-year doses of metformin of 1 to 270 g (OR = 0.93; 95% CI, 0.90-0.97) and 271 to 600 g (OR = 0.92; 95% CI, 0.89-0.96). In a diabetic subgroup, metformin use below 601 g per 2 years decreased the odds of developing dry AMD (1-270 g: OR = 0.95; 95% CI, 0.91-0.99; 271-600 g: OR = 0.92; 95% CI, 0.89-0.96). Unlike in diabetic patients with diabetic retinopathy, diabetic patients without diabetic retinopathy had decreased odds of developing dry AMD with any metformin use (OR = 0.97; 95% CI, 0.94-0.998) and cumulative two-year doses of 1 to 270 g (OR 0.96; 95% CI, 0.91-0.998) and 271 to 600 g (OR = 0.92; 95% CI, 0.88-0.96).

Conclusions

Metformin use was associated with decreased odds of developing dry AMD. The protective effect was observed for cumulative 2-year doses below 601 g. In diabetics, this association persisted, specifically in those without diabetic retinopathy. Therefore, metformin may be a strategy to prevent development of dry AMD.

Safety and Tolerability of Six Months of Isoniazid Plus Pyridoxine or Three Months of Rifampicin for Tuberculosis among Subjects with Diabetes Mellitus: A Randomized Trial

Tuberculosis (TB) associated with diabetes mellitus (DM) is a growing problem, particularly in low- and medium-resource countries. We conducted an open-label, parallel-group, randomized, and controlled trial in a tertiary care center in Mexico City to assess TB preventive treatment (TPT) with isoniazid (INH) or rifampicin (RIF) in people with type 2 DM. Participants were assigned six months of INH 300 mg/day plus pyridoxine 75 mg or three months of RIF 600 mg/day. The primary outcomes were adverse events resulting in permanent treatment cessation and considered possibly or probably related to study drugs. We included 130 subjects, 68 randomized to INH and 62 to RIF. We prematurely halted the study based on recommendations of the Adverse Event Safety Panel. There was no difference between arms in the overall frequency of adverse events. However, the INH group had significantly more permanent treatment interruptions due to grade 2 recurrent or grade 3 or 4 hepatoxicity. In comparison, the RIF arm had more treatment interruptions due to grade 3 or 4 gastrointestinal intolerance. TPT using INH or RIF is not safe enough to be considered a universal indication to patients with type 2 DM and TB infection. These results underline the need to search for alternative TB preventions with better safety profiles for type 2 DM patients.

Different levels of hypoglycemia in patients with type 2 diabetes, their achieved mean HbA1c vs. all-cause and cardiovascular mortality

AIM

In patients with type 2 diabetes (T2D), levels of hypoglycemia and their risk of mortality are not well understood. The aim of this study was to ascertain the correlation among disparate levels of hypoglycemia and patients with T2D's achieved mean glycated hemoglobin A1c (HbA1c) with all-cause and cardiovascular mortality.

METHODS

27,932 T2D patients taking hypoglycemic medications at outpatient visits for more than 6 months between 2008 and 2018 were linked to Taiwan's National Death Registry. We determined the respective mortality rates with Poisson assumption, and explored the relative risks of all-cause and cardiovascular mortality according to dissimilar levels of hypoglycemia with their achieved mean HbA1c by Cox proportional hazard regression model with adjustment of potential confounders.

RESULTS

T2D patients with level 3 hypoglycemia had the highest rates of all-cause and cardiovascular mortality. Compared with those who never encountered hypoglycemia, study subjects with level 1 and level 2 hypoglycemia did not show excessive risks of either all-cause or cardiovascular mortality. Only those with level 3 hypoglycemia revealed marginal risk of all-cause (Hazard ratio [HR]: 1.18; 95% Confidence Interval [CI] 1.04-1.33) but not cardiovascular mortality (HR: 1.16; 95% CI 0.88-1.53). In T2D patients with hypoglycemia, only those with mean HbA1c ≥9.0% increased all-cause mortality in level 3 hypoglycemia, and cardiovascular mortality in level 1 hypoglycemia.

CONCLUSIONS

Elevated risk of all-cause mortality was exclusively found in patients with level 3 hypoglycemia. In T2D patients with hypoglycemia, mean HbA1c ≥ 9% increased all-cause or cardiovascular mortality. Aggressive treatment of accompanying serious illness in severe hypoglycemia may help reduce mortality in patients with T2DM.

Long-term quality-of-care score for predicting the occurrence of acute myocardial infarction in patients with type 2 diabetes mellitus

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death globally, and diabetes mellitus (DM) is a well-established risk factor. Among the risk factors for CVD, DM is a major modifiable factor. In the fatal CVD outcomes, acute myocardial infarction (AMI) is the most common cause of death.

AIM

To develop a long-term quality-of-care score for predicting the occurrence of AMI among patients with type 2 DM on the basis of the hypothesis that good quality of care can reduce the risk of AMI in patients with DM.

METHODS

Using Taiwan’s Longitudinal Cohort of Diabetes Patient Database and the medical charts of a medical center, we identified incident patients diagnosed with type 2 DM from 1999 to 2003 and followed them until 2011. We constructed a summary quality-of-care score (with values ranging from 0 to 8) with process indicators (frequencies of HbA_1c and lipid profile testing and urine, foot and retinal examinations), intermediate outcome indicators (low-density lipoprotein, blood pressure and HbA_1c), and co-morbidity of hypertension. The associations between the score and the incidence of AMI were evaluated using Cox regression models.

RESULTS

A total of 7351 patients who had sufficient information to calculate the score were enrolled. In comparison with participants who had scores ≤ 1, those with scores between 2 and 4 had a lower risk of developing AMI [adjusted hazard ratio (AHR) = 0.71; 95% confidence interval (95%CI): 0.55-0.90], and those with scores ≥ 5 had an even lower risk (AHR = 0.37; 95%CI: 0.21-0.66).

CONCLUSION

Good quality of care can reduce the risk of AMI in patients with type 2 DM. The quality-of-care score developed in this study had a significant association with the risk of AMI and thus can be applied to guiding the care for these patients.

Evaluating the Safety of Sodium-Glucose Cotransporter-2 Inhibitors in a Nationwide Veterans Health Administration Observational Cohort Study

Sodium-glucose cotransporter-2 inhibitors (SGLT-2is) are indicated in patients with or without type 2 diabetes mellitus atherosclerotic cardiovascular disease, chronic kidney disease, or heart failure. Postmarket surveillance data have identified many safety signals which warrants further investigation. We aimed to compare the safety of SGLT-2i and glucagon-like peptide-1 receptor agonists (GLP-1RA). Using the Veterans Health Administration nationwide database, patients with type 2 diabetes mellitus who were newly initiated on a SGLT-2i or GLP-1RA between April 1, 2013 and September 1, 2020 were identified. The primary outcome was the incidence of any amputation, below-knee amputation (BKA), all clinical fractures, hip fracture, Fournier gangrene, acute pancreatitis, diabetic ketoacidosis (DKA), serious urinary tract infections (UTIs), and venous thromboembolism (VTE). All outcomes were compared between the treatment groups. Cox proportional hazard models were used to estimate adjusted hazard ratios (aHRs) for the comparative analysis. A total of 70,694 propensity-matched new users of SGLT-2i and GLP-1RA were identified. The use of SGLT-2 inhibitors, compared with GLP-1RA, was not associated with an increased rate of any amputation (aHR 1.02, 95% confidence interval [CI] 0.82 to 1.27), BKA (aHR 1.05, 95% CI 0.84 to 1.32), all clinical fractures (aHR 0.94, 95% CI 0.86 to 1.03), hip fractures (aHR 0.82, 95% CI 0.50 to 1.32), DKA (aHR 1.66, 95% CI 0.97 to 2.85), VTE (aHR 1.02, 95% CI 0.80 to 1.30), acute pancreatitis (aHR 1.02, 95% CI 0.80 to 1.30), and Fournier gangrene (aHR 0.92 95% CI 0.61 to 1.38). Lower rates of serious UTIs were observed in the SGLT-2i group than in the GLP-1RA group (aHR 0.74, 95% CI 0.64 to 0.84). This real-world study found that SGLT-2i use compared with GLP-1RA did not increase the rate of amputation, BKA, clinical fractures, hip fracture, Fournier gangrene, acute pancreatitis, DKA, serious UTIs, and VTE in veteran patients.

Persistence on Novel Cardioprotective Antihyperglycemic Therapies in the United States

Selected glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT-2is) have cardioprotective effects in patients with type 2 diabetes mellitus (T2D) and elevated cardiovascular risk. Prescription and consistent use of these medications are essential to realizing their benefits. In a nationwide deidentified United States administrative claims database of adults with T2D, the prescription practices of GLP-1RAs and SGLT-2i were evaluated across guideline-directed co-morbidity indications from 2018 to 2020. The monthly fill rates were assessed for 12 months after the initiation of therapy by calculating the proportion of days with consistent medication use. Of 587,657 subjects with T2D, 80,196 (13.6%) were prescribed GLP-1RAs and 68,149 (11.5%) SGLT-2i from 2018 to 2020, representing 12.9% and 11.6% of patients with indications for each medication, respectively. In new initiators, 1-year fill rate was 52.5% for GLP-1RAs and 52.9% for SGLT-2i, which was higher for patients with commercial insurance than those with Medicare Advantage plans for both GLP-1RAs (59.3% vs 51.0%, p <0.001) and SGLT-2i (63.4% vs 50.3%, p <0.001). After adjusting for co-morbidities, there were higher rates of prescription fills for patients with commercial insurance (odds ratio 1.17, 95% confidence interval 1.06 to 1.29 for GLP-1RAs, and 1.59 [1.42 to 1.77] for SGLT-2i); and higher income (odds ratio 1.09 [1.06 to 1.12] for GLP-1RAs, and 1.06 [1.03 to 1.1] for SGLT-2i). From 2018 to 2020, the use of GLP-1RAs and SGLT-2i remained limited to fewer than 1 in 8 patients with T2D and indications, with 1-year fill rates around 50%. The low and inconsistent use of these medications compromises their longitudinal health outcome benefits in a period of expanding indications for their use.

Increased risk of death following recurrent ketoacidosis admissions: a Brazilian cohort study of young adults with type 1 diabetes

BACKGROUND

Recurrent DKA (rDKA) remains an acute type 1 diabetes complication even in post-insulin era. This study aimed to analyze the predictors and effects of rDKA on the mortality of patients with type 1 diabetes.

METHODS

Patients hospitalized (n = 231) wih diabetic ketoacidosis (between 2007 and 2018) were included. Laboratorial and clinical variables were collected. Mortality curves were compared in four groups: diabetic ketoacidosis as a new-onset type 1 diabetes (group A), single diabetic ketoacidosis episode after diagnosis of type 1 diabetes (group B), 2-5 diabetic ketoacidosis events (group C), and > 5 diabetic ketoacidosis events during follow-up period (group D).

RESULTS

During the follow-up period (approximately 1823 days), the mortality rate was 16.02% (37/231). The median age at death was 38.7 years. In the survival curve analysis, at 1926 days (5 years), the probabilities of death were indicated by ratios of 7.78%, 4.58%, 24.40%, and 26.63% in groups A, B, C, and D, respectively. One diabetic ketoacidosis episode compared with ≥ 2 events had a relative risk of 4.49 (p = 0.004) of death and > 5 events had 5.81 (p = 0.04). Neuropathy (RR 10.04; p < 0.001), retinopathy (relative risk 7.94; p < 0.01), nephropathy (RR 7.10; p < 0.001), mood disorders (RR 3.57; p = 0.002), antidepressant use (RR 3.09; p = 0.004), and statin use (RR 2.81; p = 0.0024) increased the risk of death.

CONCLUSIONS

Patients with type 1 diabetes with > 2 diabetic ketoacidosis episodes have four times greater risk of death in 5 years. Microangiopathies, mood disorders, and use of antidepressants and statins were important risk factors for short-term mortality.

Association of hemoglobin A1c stability with mortality and diabetes complications in older adults with diabetes

INTRODUCTION

Hemoglobin A1c (A1c) treatment goals in older adults should be individualized to balance risks and benefits. It is unclear if A1c stability over time within unique target ranges also affects adverse outcomes.

RESEARCH DESIGN AND METHODS

We conducted a retrospective observational cohort study from 2004 to 2016 of veterans with diabetes and at least four A1c tests during a 3-year baseline. We generated four distinct categories based on the percentage of time that baseline A1c levels were within patient-specific target ranges: ≥60% time in range (TIR), ≥60% time below range (TBR), ≥60% time above range (TAR), and a mixed group with all times <60%. We assessed associations of these categories with mortality, macrovascular, and microvascular complications.

RESULTS

We studied 397 634 patients (mean age 76.9 years, SD 5.7) with an average of 5.5 years of follow-up. In comparison to ≥60% A1c TIR, mortality was increased with ≥60% TBR, ≥60% TAR, and the mixed group, with HRs of 1.12 (95% CI 1.11 to 1.14), 1.10 (95% CI 1.08 to 1.12), and 1.06 (95% CI 1.04 to 1.07), respectively. Macrovascular complications were increased with ≥60% TBR and ≥60% TAR, with estimates of 1.04 (95% CI 1.01 to 1.06) and 1.06 (95% CI 1.03 to 1.09). Microvascular complications were lower with ≥60% TBR (HR 0.97, 95% CI 0.95 to 1.00) and higher with ≥60% TAR (HR 1.11, 95% CI 1.08 to 1.14). Results were similar with higher TIR thresholds, shorter follow-up, and competing risk of mortality.

CONCLUSIONS

In older adults with diabetes, mortality and macrovascular complications are associated with increased time above and below individualized A1c target ranges. Higher A1c TIR may identify patients with lower risk of adverse outcomes.

The relationship of low-density lipoprotein cholesterol and all-cause or cardiovascular mortality in patients with type 2 diabetes: a retrospective study

Background

The optimal levels of low-density lipoprotein cholesterol (LDL-C) in patients with type 2 diabetes (T2D) are not currently clear. In this study, we determined the relationship between various mean LDL-C and all-cause or cardiovascular mortality risks in patients with T2D, stratifying by albumin level, age, sex, and antilipid medication use. We also evaluated the association of LDL-C standard deviation (LDL-C-SD) and all-cause and cardiovascular mortality by type of antilipid medication use.

Methods

A total of 46,675 T2D patients with a prescription for antidiabetic agents >6 months from outpatient visits (2003-2018) were linked to Taiwan's National Death Registry to identify all-cause and cardiovascular mortality. The Poisson assumption was used to estimate mortality rates, and the Cox proportional hazard regression model was used to assess the relative hazards of respective mortality in relation to mean LDL-C in patient cohorts by albumin level, age, sex, and antilipid use adjusting for medications, comorbidities, and laboratory results. We also determined the overall, and anti-lipid-specific mortality rates and relative hazards of all-cause and cardiovascular mortality associated with LDL-C-SD using the Poisson assumption and Cox proportional hazard regression model, respectively.

Results

All-cause and cardiovascular mortality rates were the lowest in T2D patients with a mean LDL-C > 90-103.59 mg/dL in the normal albumin group (≥ 3.5 g/dL). Compared to T2D patients with a mean LDL-C > 90-103.59 mg/dL, those with a mean LDL-C ≤ 77 mg/dL had an elevated risk of all-cause mortality in both the normal and lower albumin groups. T2D patients with a mean LDL-C ≤ 90 and > 103.59-119 mg/dL had relatively higher risk of cardiovascular mortality in the normal albumin group, but in the lower albumin group (<3.5 g/dL), any level of mean LDL-C ≤ 119 mg/dL was not significantly associated with cardiovascular mortality. Increased risks of all-cause and cardiovascular mortality were observed in patients with a mean LDL-C ≤ 77 mg/dL in both sexes and in all age groups except in those aged <50 years, a lower mean LDL-C was not associated with cardiovascular mortality. Similarly, patients with an LDL-C-SD <10^th and > 90^th percentiles were associated with significant risks of all-cause and cardiovascular mortality. In statin users, but not fibrate users, lower and higher levels of mean LDL-C and LDL-C-SD were both associated with elevated risks of all-cause and cardiovascular mortality.

Conclusions

The optimal level of LDL-C was found to be >90-103.59 mg/dL in T2D patients. Lower and higher levels of mean LDL-C and LDL-C-SD were associated with all-cause and cardiovascular mortality, revealing U-shaped associations. Further studies are necessary to validate the relationship between optimal LDL-C levels and all-cause and cardiovascular mortality in patients with diabetes.

CHAnges in Diuretic Medication Prescribing and Surrogate Laboratory Parameters After Initiating EmpagliflOziN in Veterans (CHAMPION Cohort Study)

BACKGROUND AND OBJECTIVES

Sodium-glucose cotransporter type 2 inhibitors have evolved into a novel drug class utilized for reductions in cardiovascular risk and heart failure hospitalization. We aimed to describe the impact of sodium-glucose cotransporter type 2 inhibitors on diuretic prescribing patterns and intermediate laboratory outcomes in patients with and without diuretic use.

METHODS

This retrospective cohort study included patients taking empagliflozin as of 1 July, 2021. Patients were assigned to the intervention group if prescribed a diuretic concomitantly or a control group otherwise. The primary outcome was the impact of empagliflozin on diuretic prescribing (i.e., no change, discontinuation, decrease, increase). Secondary outcomes were change in weight, hemoglobin A1c, estimated glomerular filtration rate, hemoglobin, hematocrit, blood pressure, and electrolytes at 90 and 180 days. Mean differences were compared using the t-test between groups or the paired t-test within groups. Patients without diuretic use were matched 1:1 to patients taking diuretics using propensity scores.

RESULTS

This study included 1189 patients: 750 in the control group and 439 in the intervention group. After propensity score matching, baseline characteristics were well balanced. Of the 439 patients in the intervention group, 118 had changes in the diuretic regimen. There were 131 changes: 109 (83.2%) discontinuations, 13 (9.92%) decreases, and nine (6.87%) increases. The mean furosemide equivalent loop dose was reduced after empagliflozin initiation (50.62 mg vs 43.13 mg; p < 0.001). Among all patients, there was a decrease in weight (p = 0.01), estimated glomerular filtration rate (p < 0.001), and hemoglobin A1c (p < 0.001). There was an increase in hemoglobin (p < 0.001), hematocrit (p < 0.001), and magnesium (p < 0.001). In the propensity score-matched cohort, there was a significant reduction from baseline in mean weight in the intervention group compared with the control group (p < 0.001).

CONCLUSIONS

This hypothesis-generating study suggests that sodium-glucose cotransporter type 2 inhibitors may lower diuretic requirements, further supported by a reduction in weight in the intervention cohort.

Healthcare resource utilization and costs of care in the United States for patients with non-alcoholic steatohepatitis

AIMS

This retrospective, observational cohort study aimed to determine the burden of comorbidities, hospitalization, and healthcare costs among patients with non-alcoholic steatohepatitis (NASH) in the United States stratified by fibrosis-4 (FIB-4) or body mass index (BMI).

METHODS

Adults with NASH were identified in the Veradigm Health Insights Electronic Health Record Database and linked Komodo claims data. The index date was the earliest coded NASH diagnosis between 1 January 2016 and 31 December 2020 with valid FIB-4 and ≥6 months of database activity and continuous enrollment pre- and post-index. We excluded patients with viral hepatitis, alcohol-use disorder, or alcoholic liver disease. Patients were stratified by FIB-4: FIB-4 ≤ 0.95, 0.95 < FIB-4 ≤ 2.67, 2.67 < FIB-4 ≤ 4.12, FIB-4 > 4.12) or BMI (BMI <25, 25 ≤ BMI ≤30, BMI > 30). Multivariate analysis was used to assess the relationship of FIB-4 with costs and hospitalizations.

RESULTS

Among 6,743 qualifying patients, index FIB-4 was ≤0.95 for 2,345 patents, 0.95-2.67 for 3,289 patients, 2.67-4.12 for 571 patients, and >4.12 for 538 patients (mean age 55.8 years; 62.9% female). Mean age, comorbidity burden, cardiovascular disease risk, and healthcare utilization increased with increasing FIB-4. Mean ± SD annual costs increased from $16,744±$53,810 to $34,667±$67,691 between the lowest and highest FIB-4 cohorts and were higher among patients with BMI <25 ($24,568±$81,250) than BMI >30 ($21,542±$61,490). A one-unit increase in FIB-4 at index was associated with a 3.4% (95%CI: 1.7%-5.2%) increase in mean total annual cost and an 11.6% (95%CI: 8.0%-15.3%) increased likelihood of hospitalization.

CONCLUSIONS

A higher FIB-4 was associated with increased healthcare costs and risk of hospitalization in adults with NASH; however, even patients with FIB-4 ≤ 0.95 presented a significant burden.

Real-World Prevalence of Type 2 Diabetes Remission in a U.S. Insured Population Using a Large Administrative Claims Database

Objective

A 2021 international consensus statement defined type 2 diabetes remission as A1C <6.5% measured at least 3 months after cessation of glucose-lowering therapy. We aimed to investigate whether retrospective claims-based data can assess remission based on this definition, whether three increasingly strict alternative definitions affect the prevalence of remission and characteristics of remission cohorts, and how cohorts with and without sufficient data to assess for remission differ.

Research design and methods

We used de-identified administrative claims from commercially insured and Medicare Advantage members, enriched with laboratory values, to assess diabetes remission. We used alternative glycemic, temporal, and pharmacologic criteria to assess the sensitivity of remission definitions to changes in claims-based logic.

Results

Among 524,076 adults with type 2 diabetes, 185,285 (35.4%) had insufficient additional laboratory and/or enrollment data to assess for remission. While more likely to be younger, these individuals had similar initial A1C values and geographical distribution as the 338,791 (64.6%) assessed for remission. Of those assessed for remission, 10,694 (3.2%) met the 2021 consensus statement definition. The proportion of individuals meeting the three alternative definitions ranged from 0.8 to 2.3%. Across all criteria, those meeting the remission definition were more likely to be female, had a lower initially observed A1C, and had a higher prevalence of bariatric surgery.

Conclusion

This study demonstrates the feasibility of laboratory-value enriched claims-based assessments of type 2 diabetes remission. Establishing stable claims-based markers of remission can enable population assessments of diabetes remission and evaluate the association between remission and clinical outcomes.

Costs of major complications in people with and without diabetes in Tasmania, Australia

Objective We set out to estimate healthcare costs of diabetes complications in the year of first occurrence and the second year, and to quantify the incremental costs of diabetes versus non-diabetes related to each complication. Methods In this cohort study, people with diabetes (n  = 45 378) and their age/sex propensity score matched controls (n  = 90 756) were identified from a linked dataset in Tasmania, Australia between 2004 and 2017. Direct costs (including hospital, emergency room visits and pathology costs) were calculated from the healthcare system perspective and expressed in 2020 Australian dollars. The average-per-patient costs and the incremental costs in people with diabetes were calculated for each complication. Results First-year costs when the complications occurred were: dialysis $78 152 (95% CI 71 095, 85 858), lower extremity amputations $63 575 (58 290, 68 688), kidney transplant $48 487 (33 862, 68 283), non-fatal myocardial infarction $30 827 (29 558, 32 197), foot ulcer/gangrene $29 803 (27 183, 32 675), ischaemic heart disease $29 160 (26 962, 31 457), non-fatal stroke $27 782 (26 285, 29 354), heart failure $27 379 (25 968, 28 966), kidney failure $24 904 (19 799, 32 557), angina pectoris $18 430 (17 147, 19 791), neuropathy $15 637 (14 265, 17 108), nephropathy $15 133 (12 285, 18 595), retinopathy $14 775 (11 798, 19 199), transient ischaemic attack $13 905 (12 529, 15 536), vitreous hemorrhage $13 405 (10 241, 17 321), and blindness/low vision $12 941 (8164, 19 080). The second-year costs ranged from 16% (ischaemic heart disease) to 74% (dialysis) of first-year costs. Complication costs were 109-275% higher than in people without diabetes. Conclusions Diabetes complications are costly, and the costs are higher in people with diabetes than without diabetes. Our results can be used to populate diabetes simulation models and will support policy analyses to reduce the burden of diabetes.

European national health plans and the monitoring of online searches for information on diabetes mellitus in different European healthcare systems

Diabetes mellitus (DM) is a serious non-communicable disease (NCD) and relies on the patient being aware of their condition, proactive, and having adequate medical care. European countries healthcare models are aware of the impact of these variables. This study evaluates the impact of online health information seeking behavior (OHISB) during World Diabetes Mellitus Day (WDMD) in European countries from 2014 to 2019 by grouping countries according to the changes in citizens' search behavior, diabetes mellitus prevalence, the existence of National Health Plans (NHP), and their respective healthcare systems. We extracted data from Global Burden of Disease, Google Trends (GT), Public Health European Commission, European Coalition for Diabetes, and the Spanish Ministry of Health. First, we used the broken-line models to analyze significant changes in search trends (GT) in European Union member countries in the 30-day intervals before and after the WDMD (November 14) from 2014 to 2019. Then the results obtained were used in the second phase to group these countries by factor analysis of mixed data (FAMD) using the prevalence of DM, the existence of NHP, and health models in each country. The calculations were processed using R software (gtrendsR, segmented, Factoextra, and FactoMineR). We established changes in search trends before and after WDMD, highlighting unevenness among European countries. However, significant changes were mostly observed among countries with NHP. These changes in search trends, in addition to being significant, were reiterated over time and occurred especially in countries belonging to the Beveridge Model (Portugal, Spain, and Sweden) and with NHPs in place. Greater awareness of diabetes mellitus among the population and continuous improvements in NHP can improve the patients' quality of life, thus impacting in disease management and healthcare expenditure.

Are we there yet? Increasing use of cardioprotective antihyperglycemic agents in patients with T2D and CVD or CV risk in the United States

OBJECTIVE

To report on the use of antihyperglycemic agents (AHAs) by age (i.e. <65, ≥65 years) in patients with type 2 diabetes (T2D) and cardiovascular disease (CVD) or cardiovascular risk (CV risk) factors in the United States.

METHODS

Patients with T2D and CVD (CVD cohort) or T2D and an additional CV risk factor without pre-existing CVD (CV risk cohort) were identified from 2015 to 2019 in a claims database. Patients were followed from their first observed CVD diagnosis or CV risk factor for each year they were continuously enrolled or until occurrence of a CVD diagnosis (CV risk cohort only). Classes of AHAs received were reported by year, cohort, and age group.

RESULTS

From 2015 to 2019, the percentage of patients <65 years on glucagon-like peptide-1 receptor agonists (GLP-1 RAs) increased (CVD: 9-17%, CV risk: 9-17%) and was approximately twice that of those ≥65 years (CVD: 4-8%, CV risk: 4-8%); the percentage of patients <65 years on sodium-glucose cotransporter-2 (SGLT2) inhibitors increased (CVD: 11-16%, CV risk: 11-17%) and was approximately triple that of those ≥65 years (CVD: 3-6%, CV risk: 4-7%).

CONCLUSIONS

The use of GLP-1 RAs and SGLT2 inhibitors increased during the study period; however, most patients did not receive these medications. Patients aged ≥65 years were particularly disadvantaged.

Exploration of Residual Confounding in Analyses of Associations of Metformin Use and Outcomes in Adults With Type 2 Diabetes

IMPORTANCE

Metformin is often used as a first-line therapy for type 2 diabetes; however, frequent discontinuation with reduced kidney function and increased disease severity indicates that a comparison with any other group (eg, nonusers or insulin users) must address significant residual confounding concerns.

OBJECTIVES

To examine the potential for residual confounding in a commonly used observational study design applied to metformin and to propose a more robust study design for future observational studies of metformin.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study with a prevalent user design was conducted using an administrative claims database for Medicare Advantage beneficiaries in the US. Participants were categorized into 2 distinct cohorts: 404 458 individuals with type 2 diabetes and 81 791 individuals with prediabetes. Clinical history was observed in 2018, and end points were observed in 2019. Statistical analyses were conducted between May and December 2021.

EXPOSURES

Prevalent use (recent prescription and history of use on at least 90 of the preceding 365 days) of metformin or insulin but not both at the start of the observation period.

MAIN OUTCOMES AND MEASURES

Total inpatient admission days in 2019 and total medical spending (excluding prescription drugs) in 2019. Each of these measures was treated as a binary outcome (0 vs >0 inpatient days and top 10% vs bottom 90% of medical spending).

RESULTS

The study included 404 458 adults with type 2 diabetes (mean [SD] age, 74.5 [7.5] years; 52.7% female). A strong metformin effect estimate was associated with reduced inpatient admissions (odds ratio, 0.60; 95% CI, 0.58-0.62) and reduced medical expenditures (odds ratio, 0.57; 95% CI, 0.55-0.60). However, implementation of additional robust design features (negative control outcomes and a complementary cohort) revealed that the estimated beneficial effect was attributable to residual confounding associated with individuals' overall health, not metformin itself.

CONCLUSIONS AND RELEVANCE

These findings suggest that common observational study designs for studies of metformin in a type 2 diabetes population are at risk for consequential residual confounding. By performing 2 additional validation checks, the study design proposed here exposes residual confounding that nullifies the initially favorable claim derived from a common study design.

Evolution of Clinical Complexity, Treatment Burden, Health Care Use, and Diabetes-Related Outcomes Among Commercial and Medicare Advantage Plan Beneficiaries With Diabetes in the U.S., 2006-2018

OBJECTIVE

To characterize trends in clinical complexity, treatment burden, health care use, and diabetes-related outcomes among adults with diabetes.

RESEARCH DESIGN AND METHODS

We used a nationwide claims database to identify enrollees in commercial and Medicare Advantage plans who met claims criteria for diabetes between 1 January 2006 and 31 March 2019 and to quantify annual trends in clinical complexity (e.g., active health conditions), treatment burden (e.g., medications), health care use (e.g., ambulatory, emergency department [ED], and hospital visits), and diabetes-related outcomes (e.g., hemoglobin A1c [HbA1c] levels) between 2006 and 2018.

RESULTS

Among 1,470,799 commercially insured patients, the proportion with ≥10 active health conditions increased from 33.3% (95% CI 33.1-33.4) in 2006 to 38.9% (38.8-39.1) in 2018 (P = 0.001) and the proportion taking three or more glucose-lowering medications increased from 11.6% (11.5-11.7) to 23.1% (22.9-23.2) (P = 0.007). The proportion with HbA1c ≥8.0% (≥64 mmol/mol) increased from 28.0% (27.7-28.3) in 2006 to 30.5% (30.2-30.7) in 2015, decreasing to 27.8% (27.5-28.0) in 2018 (overall trend P = 0.04). Number of ambulatory visits per patient per year decreased from 6.86 (6.84-6.88) to 6.19 (6.17-6.21), (P = 0.001) while ED visits increased from 0.26 (0.257-0.263) to 0.29 (0.287-0.293) (P = 0.001). Among 1,311,903 Medicare Advantage enrollees, the proportion with ≥10 active conditions increased from 51.6% (51.2-52.0) to 65.1% (65.0-65.2) (P < 0.001); the proportion taking three or more glucose-lowering medications was stable at 16.6% (16.3-16.9) and 18.1% (18.0-18.2) (P = 0.98), and the proportion with HbA1c ≥8.0% increased from 17.4% (16.7-18.1) to 18.6% (18.4-18.7) (P = 0.008). Ambulatory visits per patient per year remained stable at 8.01 (7.96-8.06) and 8.17 (8.16-8.19) (P = 0.23), but ED visits increased from 0.41 (0.40-0.42) to 0.66 (0.66-0.66) (P < 0.001).

CONCLUSIONS

Among patients with diabetes, clinical complexity and treatment burden have increased over time. ED utilization has also increased, and patients may be using ED services for low-acuity conditions.

Age and sex-specific associations of visit-to-visit variability of glycated hemoglobin A1c with all-cause mortality in patients with diabetes

BACKGROUND

Visit-to-visit variability (VVV) of glycated hemoglobin (HbA1c) levels have been found to be associated with prognosis of diabetes. However, little is known about whether or to what extent sex and age may modify the effects of VVV.

METHODS

To investigate age- and sex-specific rates of mortality from all causes and relative hazards of mortality in association with VVV of HbA1c levels, 47,145 patients with diabetes and prescription of any antidiabetic agents >6 months were identified from outpatient visits of a tertiary medical center in northern Taiwan during 2003-2018. VVV of HbA1c was measured by quartiles of standard deviation (SD), coefficient of variation (CV), and average real variability (ARV), respectively. The study subjects were linked to Taiwan's National Death Registry to identify all-cause mortality. The person-year approach with the Poisson assumption was used to assess the all-cause mortality rates, and Cox proportional hazard regression model was used to evaluate the relative hazards of all-cause mortality concerning various levels of VVV of HbA1c.

RESULTS

The lowest all-cause mortality rate was found in either the first or second quartile of various measures for VVV of HbA1c, but the highest mortality rate was consistently observed in the fourth quartile of VVV, regardless of SD, CV, or ARV across ages and sexes. Increased hazards of overall all-cause mortality were noticed from the second to fourth quartile of VVV of HbA1c. In detailed age- and sex-stratified analyses, elevated risk of mortality was seen in the fourth quartile of those aged <50 years while in those aged >69 years, increased risk of mortality was noticed in the third and fourth quartiles of any VVV of HbA1c irrespective of sex. In those aged 50-69 years, incremental increased hazards of mortality were consistently observed in the second to fourth quartiles of VVV of HbA1c.

CONCLUSION

HbA1c variability whether it was SD, CV, or ARV could strongly predict the risks of all-cause mortality. The extent of the relationship between VVV of HbA1c and all-cause mortality in different age groups was comparable between both sexes. Given the importance of long-term glucose fluctuation, the inclusion of HbA1c variability calculated from the standardized method should be considered by clinical guideline policymakers as part of the biochemical panel in daily diabetes management.

Low mean HbA1c does not increase all-cause and cardiovascular mortality in patients with diabetes: Effect-modifications by anemia and chronic kidney disease stages

Background

Previous studies reported that low levels of glycated hemoglobin A1c (HbA1c) were associated with increased mortality. We investigated rates and risks of all-cause and cardiovascular mortality in association with mean HbA1c levels with stratification of anemia and chronic kidney disease (CKD) stages, major causes of low HbA1c.

Methods

47,145 patients with prescription of antidiabetic agents >6 months in the outpatient visits (2003–2018) were linked to Taiwan’s National Death Registry to identify all-cause and cardiovascular mortality. Poisson assumption was used to estimate the mortality rates, and the Cox proportional hazard regression model was used to evaluate the relative hazards of respective mortality in relation to mean HbA1c in different statuses of anemia and CKD stages.

Results

All-cause and cardiovascular mortality rates were the lowest in non-anemic stages 1–2 CKD patients, and the highest in anemic stages 3–5 CKD patients. In stages 1–2 CKD, excessive HRs observed in those with mean HbA1c <6.0% (Hazard Ratio [HR]) 1.58; 95% Confidence Interval [CI] 1.18–2.12) became inconsequential after adjustment of medications and laboratory results (HR: 1.26; 95% CI 0.89–1.79). The similar patterns were observed in anemic stages 1–2 CKD, anemic or non-anemic stages 3–5 CKD. Low HbA1c was not related to cardiovascular mortality in any anemia status or CKD staging.

Conclusions

Higher risks associated with low mean HbA1c and all-cause mortality were attenuated by adjustment of medications and comorbidities. It is imperative for the diabetologists to consider confounding effects of underlying illness before concluding low HbA1c associated higher mortality.

Management and Outcomes of Severe Hypoglycemia Treated by Emergency Medical Services in the U.S. Upper Midwest

OBJECTIVE

To examine factors associated with emergency department (ED) transport after hypoglycemia treated by emergency medical services (EMS) and assess the impact of ED transport on severe hypoglycemia recurrence.

RESEARCH DESIGN AND METHODS

We retrospectively analyzed electronic health records of a multistate advanced life support EMS provider and an integrated healthcare delivery system serving an overlapping geographic area in the upper Midwest. For adults with diabetes treated by EMS for hypoglycemia between 2013 and 2019, we examined rates of ED transport, factors associated with it, and its impact on rates of recurrent hypoglycemia requiring EMS, ED, or hospital care within 3, 7, and 30 days.

RESULTS

We identified 1,977 hypoglycemia-related EMS encounters among 1,028 adults with diabetes (mean age 63.5 years [SD 17.7], 55.2% male, 87.4% non-Hispanic White, 42.4% rural residents, and 25.6% with type 1 diabetes), of which 46.4% resulted in ED transport (31.1% of calls by patients with type 1 diabetes and 58.0% of calls by patients with type 2 diabetes). Odds of ED transport were lower in patients with type 1 diabetes (odds ratio [OR] 0.44 [95% CI 0.31-0.62] vs. type 2 diabetes) and higher in patients with prior ED visits (OR 1.38 [95% CI 1.03-1.85]). Within 3, 7, and 30 days, transported patients experienced recurrent severe hypoglycemia 2.8, 5.2, and 10.6% of the time, respectively, compared with 7.4, 11.2, and 22.8% of the time among nontransported patients (all P < 0.001). This corresponds to OR 0.58 (95% CI 0.42-0.80) for recurrent severe hypoglycemia within 30 days for transported versus nontransported patients. When subset by diabetes type, odds of recurrent severe hypoglycemia among transported patients were 0.64 (95% CI 0.43-0.96) and 0.42 (95% CI 0.24-0.75) in type 1 and type 2 diabetes, respectively.

CONCLUSIONS

Transported patients experienced recurrent hypoglycemia requiring medical attention approximately half as often as nontransported patients, reinforcing the importance of engaging patients in follow-up to prevent recurrent events.

Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors vs. Dipeptidyl Peptidase-4 Inhibitors in Frail People With Diabetes Who Were Recently Hospitalized

Introduction: Sodium-glucose cotransporter-2 inhibitors (SGLT-2Is) reduce heart failure (HF) hospitalizations and major adverse cardiovascular events (MACE) in general type 2 diabetes populations. The objective of this study was to determine whether SGLT-2Is vs. dipeptidyl peptidase-4 inhibitors (DPP-4Is) are associated with reductions in MACE, HF hospitalizations and mortality in frail people with type 2 diabetes.

Methods: We conducted a cohort study of all patients aged ≥30 years with type 2 diabetes discharged from a hospital in Victoria, Australia between January 2014 and March 2018 who received SGLT-2Is or DPP-4Is within 60 days of discharge. Follow-up commenced 60 days after initial discharge, and MACE, HF hospitalization and mortality were recorded. Cox proportional hazards regression with competing risks and stabilized inverse probability of treatment weights (IPTWs), was used to generate subdistribution hazard ratios (sHRs) with 95% confidence intervals (CIs). Analyses were stratified into frailty quartiles according to Hospital Frailty Risk Scores (HFRS).

Results: Of the 32,043 patients, (41.9% female and 5.9% ≥80 years) in the cohort, 5,152 (16.1%) received SGLT-2Is. Overall, SGLT-2I versus DPP-4I recipients had lower rates of MACE (sHR 0.51; 95% CI 0.46–0.56), HF hospitalization (sHR 0.42; 95% CI 0.36–0.49) and mortality (HR 0.38; 95% CI 0.33–0.43). People with HFRSs in the fourth quartile who received SGLT-2Is versus DPP-4Is also had reduced rates of MACE (sHR 0.37; 95% CI 0.29–0.46), HF hospitalization (sHR 0.43; 95% CI 0.33–0.56) and mortality (HR 0.32; 95% CI 0.25–0.41).

Conclusion: SGLT-2Is may be preferred to DPP-4Is for preventing MACE, HF hospitalizations and mortality in frail people with type 2 diabetes.

Association of hemoglobin A1c time in range with risk for diabetes complications

INTRODUCTION

We assessed the association between hemoglobin A1c time in range (A1c TIR), based on unique patient-level A1c target ranges, with risks of developing microvascular and macrovascular complications in older adults with diabetes.

RESEARCH DESIGN AND METHODS

We used a retrospective observational study design and identified patients with diabetes from the Department of Veterans Affairs (n=397 634). Patients were 65 years and older and enrolled in Medicare during the period 2004-2016. Patients were assigned to individualized A1c target ranges based on estimated life expectancy and the presence or absence of diabetes complications. We computed A1c TIR for patients with at least four A1c tests during a 3-year baseline period. The association between A1c TIR and time to incident microvascular and macrovascular complications was studied in models that included A1c mean and A1c SD.

RESULTS

We identified 74 016 patients to assess for incident microvascular complications and 89 625 patients to assess for macrovascular complications during an average follow-up of 5.5 years. Cox proportional hazards models showed lower A1c TIR was associated with higher risk of microvascular (A1c TIR 0% to <20%; HR=1.04; 95%) and macrovascular complications (A1c TIR 0% to <20%; HR=1.07; 95%). A1c mean was associated with increased risk of microvascular and macrovascular complications but A1c SD was not. The association of A1c TIR with incidence and progression of individual diabetes complications within the microvascular and macrovascular composites showed similar trends.

CONCLUSIONS

Maintaining stability of A1c levels in unique target ranges was associated with lower likelihood of developing microvascular and macrovascular complications in older adults with diabetes.

Using an optimized generative model to infer the progression of complications in type 2 diabetes patients

Background

People live a long time in pre-diabetes/early diabetes without a formal diagnosis or management. Heterogeneity of progression coupled with deficiencies in electronic health records related to incomplete data, discrete events, and irregular event intervals make identification of pre-diabetes and critical points of diabetes progression challenging.

Methods

We utilized longitudinal electronic health records of 9298 patients with type 2 diabetes or prediabetes from 2005 to 2016 from a large regional healthcare delivery network in China. We optimized a generative Markov-Bayesian-based model to generate 5000 synthetic illness trajectories. The synthetic data were manually reviewed by endocrinologists.

Results

We build an optimized generative progression model for type 2 diabetes using anchor information to reduce the number of parameters learning in the third layer of the model from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$O\left(N\times W\right)$$\end{document}ON×W to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$O\left((N-C)\times W\right)$$\end{document}O(N-C)×W, where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$N$$\end{document}N is the number of clinical findings, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$W$$\end{document}W is the number of complications, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$C$$\end{document}C is the number of anchors. Based on this model, we infer the relationships between progression stages, the onset of complication categories, and the associated diagnoses during the whole progression of type 2 diabetes using electronic health records.

Discussion

Our findings indicate that 55.3% of single complications and 31.8% of complication patterns could be predicted early and managed appropriately to potentially delay (as it is a progressive disease) or prevented (by lifestyle modifications that keep patient from developing/triggering diabetes in the first place).

Conclusions

The full type 2 diabetes patient trajectories generated by the chronic disease progression model can counter a lack of real-world evidence of desired longitudinal timeframe while facilitating population health management.

Influence of the COVID-19 pandemic on overall physician visits and telemedicine use among patients with type 1 or type 2 diabetes in Japan

BackgroundRegular visits with healthcare professionals are important for preventing serious complications in patients with diabetes. The purpose of this retrospective cohort study was to clarify whether there was any suppression of physician visits among patients with diabetes during the spread of COVID-19, in Japan and to assess whether telemedicine contributed to continued visits.MethodsWe used the JMDC Claims database which contains the monthly claims reported from July 2018 to May 2020 and included 4595 (type 1) and 123,686 (type 2) patients with diabetes.Using a difference-in-differences analysis, we estimated the changes in the monthly numbers of physician visits or telemedicine per 100 patients in April and May 2020 compared with the same months in 2019.ResultsFor patients with type 1 diabetes, the estimates for total overall physician visits were -2.53 (95% CI, -4.63 to 0.44) in April and -8.80 (-10.85 to -6.74) in May; those for telemedicine visits were 0.71 (0.47 to 0.96) in April and 0.54 (0.32 to 0.76) in May. For patients with type 2 diabetes, the estimates for overall physician visits were -2.50 (-2.95 to -2.04) in April and -3.74 (-4.16 to -3.32) in May; those for telemedicine visits were 1.13 (1.07 to 1.20) in April and 0.73 (0.68 to 0.78) in May.ConclusionsThe COVID-19 pandemic was associated with suppression of physician visits and a slight increase in the utilisation of telemedicine among patients with diabetes during April and May 2020.

The Association Between Sustained HbA1c Control and Long-Term Complications Among Individuals with Type 2 Diabetes: A Retrospective Study

INTRODUCTION

The prevalence of type 2 diabetes (T2D) represents a rising burden in the US and worldwide, with the condition shown to be associated with relatively large human and economic costs. Part of the reason for such high costs associated with T2D is that the condition is often accompanied by additional health-related complications. The goal of this research is to examine the association between glycemic control and diabetes-related complications for individuals with T2D.

METHODS

The Optum Clinformatics® Data Mart (CDM) database from 2007 to 2020 was used to identify adults with T2D. Individuals were classified as having sustained glycemic control (all hemoglobin A1c [HbA1c] < 7%) or poor glycemic control (all HbA1c ≥ 7%) over the 5-year post-period, and diabetes-related complications were identified based upon the Diabetes Complications Severity Index. Multivariable analyses examined the association between sustained glycemic control and diagnosis of a diabetes-related complication in the post-period.

RESULTS

Maintaining HbA1c < 7% over the 5-year post-period, compared to maintaining HbA1c ≥ 7%, was associated with reduced odds of the diabetes-related complications of cardiovascular disease (odds ratio [OR] = 0.76, 95% confidence interval [CI] 0.61-0.94), metabolic disease (OR = 0.37, 95% CI 0.22-0.600), neuropathy (OR = 0.62, 95% CI 0.45-0.84), nephropathy (OR = 0.81, 95% CI 0.69-0.94), and peripheral vascular disease (OR = 0.52, 95% CI 0.33-0.83). There was no statistically significant association between sustained glycemic control and cerebrovascular disease.

CONCLUSIONS

Sustained glycemic control was found to be associated with significant reductions in the odds of being diagnosed with diabetes-related complications over a 5-year post-period.

Association Between Antidepressant Use and Adherence to Anti-hyperglycemic Medications in Adults With Type 2 Diabetes and Depression: A Retrospective Cohort Study

OBJECTIVES

Depression is a known risk factor for poor medication adherence, but it is unclear whether depression treatment affects adherence rates. In this study, we examined the association between pharmacologic treatment of a new depressive episode and subsequent adherence to oral anti-hyperglycemic medications.

METHODS

In this retrospective cohort study we used administrative health data to follow adult new metformin users in Alberta, Canada, between 2008 and 2018. Depressive episodes starting ≥1 year after metformin initiation were identified and individuals starting antidepressant treatment within the first 90 days were compared with those who did not. The proportion of days covered (PDC) with oral anti-hyperglycemic medications in the subsequent year (days 91 to 455) was used to estimate adherence. The association between antidepressant treatment and poor adherence (PDC<0.8) was examined using multivariate logistic regression models.

RESULTS

A new depressive episode occurred in 6,201 people, with a mean age of 56.0 (standard deviation [SD], 15.4) years. Of this cohort, 3,303 (53.2%) were women. Mean PDC was 0.55 (SD, 0.41); 924 (57.0%) of 1,621 people who started antidepressant treatment and 2,709 (59.2%) of 4,580 controls had poor adherence (p=0.13). After adjusting for baseline comorbidities and other characteristics, antidepressant treatment was associated with a lower likelihood of poor adherence (adjusted odds ratio, 0.85; 95% confidence interval, 0.75 to 0.96; p=0.007).

CONCLUSIONS

Although overall adherence to anti-hyperglycemic medications was low after onset of a depressive episode, antidepressant treatment was associated with a lower likelihood of poor adherence.

Effect of inadequate care on diabetes complications and healthcare resource utilization during management of type 2 diabetes in the United States

OBJECTIVE

To estimate the effects of inadequate type 2 diabetes mellitus (T2D) care on health outcomes, utilizing a model that incorporates patient, physician, and health-system factors.

METHODS

The most recently available (years 2016 - 2018) Medical Expenditure panel survey longitudinal data was used to identify adults with type 2 diabetes who had received inadequate diabetes care. American Diabetes Association Standards of Diabetes guidelines were used to define inadequate care, resulting in five categories: lifestyle management, immunization, pharmacologic therapy, physical examination, and laboratory evaluation. For each of the five categories, propensity score 1:1 matching was used to match individuals who received inadequate care to similar individuals who did not. After matching, cohorts were followed for one year. The cohorts were compared by total healthcare expenditure change from baseline, total emergency healthcare visits change from baseline, total newly developed diabetes related complications, and total days absent from school or work change from baseline.

RESULTS

1,619 adults with T2D, representing 15,781,346 individuals met study inclusion criteria, of which 22.60%, 22.80%, 49.21%, 23,93%, and 23,45% received inadequate lifestyle management, immunizations, pharmacologic therapies, physical examinations, and laboratory tests, respectively. After propensity score matching, those who had received inadequate care had increased healthcare expenditure change from baseline and more new diabetes related complications in the following year. After adjusting for residual covariate imbalance, those that had received inadequate pharmacologic therapies had approximately 0.20 increased instances of emergency healthcare utilization and 0.10 increase in new diabetes related complications. Those that had received inadequate laboratory tests had 0.26 additional increased instances emergency healthcare utilization.

CONCLUSION

Inadequate T2D care is an extensive issue that may have substantial economic burden and may lead to increased diabetes related complications. Those who did not receive medications or laboratory tests that were consistent with ADA guidelines had significantly increased emergency healthcare utilization in the following year. These findings highlight the importance of careful monitoring of T2D.

Development of a customised programme to standardise comorbidity diagnosis codes in a large-scale database

Objectives

The transition from ICD-9 to ICD-10 coding creates a data standardisation challenge for large-scale longitudinal research. We sought to develop a programme that automated this standardisation process.

Methods

A programme was developed to standardise ICD-9 and ICD-10 terminology into one system. Code was improved to reduce runtime, and two iterations were tested on a joint ICD-9/ICD-10 database of 15.8 million patients.

Results

Both programmes successfully standardised diagnostic terminology in the database. While the original programme updated 100 000 cells in 12.5 hours, the improved programme translated 3.1 million cells in 38 min.

Discussion

While both programmes successfully translated ICD-related data into a standardised format, the original programme suffered from excessive runtimes. Code improvement with hash tables and parallelisation exponentially reduced these runtimes.

Conclusion

Databases with ICD-9 and ICD-10 codes require terminology standardisation for analysis. By sharing our programme’s implementation, we hope to assist other researchers in standardising their own databases.

The Association Between HbA1c and 1-Year Diabetes-Related Medical Costs: A Retrospective Claims Database Analysis

INTRODUCTION

The American Diabetes Association (ADA) has identified a target hemoglobin A1c (HbA1c) < 7% as appropriate for most adults with type 2 diabetes (T2D). This research examines US diabetes-related healthcare costs for adults with T2D for individuals with glycemic control (HbA1c < 7%) compared to poor glycemic control (HbA1c ≥ 7%).

METHODS

The Optum Clinformatics^® Data Mart database from 2016 to 2020 was used to identify a cohort of adults with T2D who had a recorded HbA1c test (with first such date identified as the index date) and continuous insurance from 1 year prior through 1 year post index date. Patients with glycemic control were propensity matched to patients with poor glycemic control. Generalized linear models and two-part models examined diabetes-related outpatient, drug, acute care, and total costs over the 1-year post-period.

RESULTS

There were 34,538 propensity matched individuals included in the study. Results indicate that glycemic control (HbA1c < 7%), compared to poor glycemic control (HbA1c ≥ 7%) ,was associated with statistically significantly lower annual diabetes-related acute ($5671 ± $4216 vs $6138 ± $4211), outpatient ($6051 ± $4216 vs $7259 ± $7771), drug ($3739 ± $4581 vs $4288 ± $4788), and total costs care ($13,704 ± $10,635 vs $16,460 ± $10,885) (all P < 0.0001). Sensitivity analyses also examined results based upon alternative HbA1c thresholds which were chosen on the basis of expert guidelines and prior clinical trial thresholds (< 6%, ≤ 6.5%, < 8%, and ≤ 9%). In all cases, being below threshold was associated with statistically significantly lower diabetes-related total costs and component costs. Results also illustrate that, in general, higher HbA1c thresholds are associated with higher diabetes-related costs.

CONCLUSION

Glycemic control was found to be associated with significantly lower annual diabetes-related component and total costs. Results suggest economic benefits associated with having HbA1c at or below target.