Assessing the severity of Type 2 diabetes using clinical data-based measures: a systematic review

Effect of Preoperative Level of Glycemic Control with Pulsed Radiofrequency on the Incidence of Postherpetic Neuralgia in Patients with Herpes Zoster Combined with Type 2 Diabetes Mellitus: A Cohort Study

Purpose

To investigate the correlation between the level of glycosylated hemoglobin (HbA1c) and postherpetic neuralgia (PHN).

Patients and Methods

This cohort study included 100 patients with herpes zoster (HZ) undergoing treatment with pulsed radiofrequency (PRF). Patients with comorbid type 2 diabetes mellitus (T2DM) were divided into three groups based on their glycemic control levels: good [HbA1c < 7% (53.01 mmol/mol), group D1], fair [7% (53.01 mmol/mol) ≤ HbA1c < 9% (74.86 mmol/mol), group D2], and poor [9% (74.86 mmol/mol) ≤ HbA1c, group D3]. The control group (group N) consisted of patients without T2DM. The main outcome measured was the occurrence of PHN in the four groups.

Results

A total of 90 patients were included in the cohort. The occurrence of PHN was found to be higher in groups D2 and D3 when compared to group N (N vs D2, P = 0.007; N vs D3, P < 0.001). Furthermore, the occurrence of PHN was higher in groups D2 and D3 in comparison to group D1 (D1 vs D2, P = 0.022; D1 vs D3, P < 0.001), with the incidence of PHN in group D3 being greater than in group D2 (P < 0.001).

Conclusion

Preoperative HbA1c predicts the incidence of PHN after PRF in T2DM patients.

Glucagon-Like Peptide-1 Receptor Agonists and Risk of Parkinson's Disease in Patients with Type 2 Diabetes: A Population-Based Cohort Study

BACKGROUND

Previous studies have suggested that glucagon-like peptide-1 receptor agonists (GLP-1RAs) may have a disease-modifying effect in the development of Parkinson's disease (PD), but population studies yielded inconsistent results.

OBJECTIVE

The aim was to compare the risk of PD associated with GLP-1RAs compared to dipeptidyl peptidase 4 inhibitors (DPP4i) among older adults with type 2 diabetes (T2D).

METHODS

Using U.S. Medicare administrative data from 2016 to 2020, we conducted a population-based cohort study comparing the new use of GLP-1RA with the new use of DPP4i among adults aged ≥66 years with T2D. The primary endpoint was a new diagnosis of PD. A stabilized inverse probability of treatment weighting (sIPTW)-adjusted Cox proportional hazards regression model was employed to estimate the hazard ratio (HR) and 95% confidence intervals (CI) for PD between GLP-1RA and DPP4i users.

RESULTS

This study included 89,074 Medicare beneficiaries who initiated either GLP-1RA (n = 30,091) or DPP4i (n = 58,983). The crude incidence rate of PD was lower among GLP-1RA users than DPP4i users (2.85 vs. 3.92 patients per 1000 person-years). An sIPTW-adjusted Cox model showed that GLP-1RA users were associated with a 23% lower risk of PD than DPP4i users (HR, 0.77; 95% CI, 0.63-0.95). Our findings were largely consistent across different subgroup analyses such as sex, race, and molecular structure of GLP-1RA.

CONCLUSION

Among Medicare beneficiaries with T2D, the new use of GLP-1RAs was significantly associated with a decreased risk of PD compared to the new use of DPP4i. © 2024 International Parkinson and Movement Disorder Society.

Factors influencing diabetes treatment satisfaction in the INtegrating DEPrEssioN and Diabetes treatmENT randomized clinical trial: A multilevel model analysis

AIMS

Patient satisfaction is associated with positive diabetes outcomes. However, there are no identified studies that evaluate both patient- and clinic-level predictors influencing diabetes care satisfaction longitudinally.

METHODS

Data from the INtegrating DEPrEssioN and Diabetes treatmENT trial was used to perform the analysis. We used fixed and random effects models to assess whether and how changes in patient-level predictors (treatment assignment, depression symptom severity, systolic blood pressure, body mass index, LDL cholesterol, and haemoglobin A1C) from 0 to 24 months and clinic-level predictors (visit frequency, visit cost, number of specialists, wait time, time spent with healthcare provider, and receiving verbal reminders) measured at 24 months influence diabetes care satisfaction from 0 to 24 months.

RESULTS

Model 1 (patient-level predictors) accounted for 7% of the change in diabetes satisfaction and there was a significant negative relationship between change in depressive symptoms and care satisfaction (β = -0.23, SE = 0.12, p < 0.05). Within Model 1, 2% of the variance was explained by clinic-level predictors. Model 2 included both patient- and clinic-level predictors and accounted for 18% of the change in diabetes care satisfaction. Within Model 2, 9% of the variance was attributed to clinic-level predictors. There was also a cross-level interaction where the change in depression had less of an impact on the change in satisfaction for those who received a verbal reminder (β = -0.11, SE = 0.21, p = 0.34) compared with those who did not receive a reminder (β = -0.62, SE = 0.08, p < 0.01).

CONCLUSIONS

Increased burden of depressive symptoms influences diabetes care satisfaction. Clinic-level predictors also significantly influence diabetes care satisfaction and can reduce dissatisfaction in primary care, specifically, reminder calls from clinic staff.

Diabetes severity and the risk of depression: A nationwide population-based study

BACKGROUND

In consideration of the substantial occurrence rates of diabetes mellitus (DM) and depression, it is imperative to identify patients with DM who are at an elevated risk of developing depression. Accordingly, this study aimed to examine whether the risk of depression escalated proportionally with the severity of diabetes.

METHODS

2,067,017 adults diagnosed with type 2 DM, with the exception of those diagnosed with depression either before or within one year of the index date, were identified from a nationwide population-based cohort in Korea. Severity scores for DM were established based on various factors, including insulin use, DM duration of at least 5 years, use of three or more oral hypoglycemic agents, the presence of chronic kidney disease (CKD), cardiovascular diseases (CVD), or diabetic retinopathy. Each of these attributes was assigned a score of one point for diabetes severity, and their cumulative sum was defined as a diabetes severity score, ranging from 0 to 6.

RESULTS

During a median follow-up of 6.2 years, 407,047 cases of major depression were identified. Each component contributing to the DM severity score was significantly associated with an increased risk of depression (all P-values <0.001), with insulin use and the presence of CVD demonstrating the most significant correlation with depression risk. As the DM severity score increased, the risk of depression was observed to significantly escalate (P for trend <0.001). After adjusting for potential confounding variables, the hazard ratios (95% confidence intervals) of depression were 1.15 (1.14-1.16) in 1 point, 1.28 (1.27-1.29) in 2 points, 1.45 (1.43-1.47) in 3 points, 1.70 (1.67-1.73) in 4 points, 1.91 (1.84-1.98) in 5 points, and 2.01 (1.79-2.26) in 6 points, respectively.

CONCLUSION

The results of this study indicate that diabetes severity is positively associated with an elevated risk of developing major depression. Based on these findings, it is feasible to consider targeting depression screening efforts towards individuals with higher diabetes severity scores.

The assessment of quality of care of patients with type 2 diabetes mellitus in a population-based cohort in the District of Landeck in Austria

INTRODUCTION

Structured diabetes care based on evidence-based guidelines is one of the main strategies to improve glycemic control and to reduce long-term complications in diabetes mellitus.

METHODS

This study is based on the "Diabetes-Landeck Cohort", a population-based cohort of patients with diabetes mellitus type 2 (T2DM). We assessed the quality of diabetes care and compared it between three groups of care units, that is, general practitioners (GP), diabetes specialists in private practice (DSPP), and hospitals (HOSP).

RESULTS

The total study population comprised 1616 patients with T2DM, including 378 patients of GP, 281 of DSPP, and 957 from HOSP. We identified statistically significant differences: DSPP showed the highest percentage of structured training, sufficient training, eye examinations and foot examinations. The group HOSP showed the highest proportion for increased HbA1c≥ 7.5 and almost all long-term complications surveyed, that is, nephropathy (23.2%), neuropathy (14.4%), diabetic foot (5.1%), and cerebrovascular diseases (10.9%).

CONCLUSION

This population-based cohort study on patients with T2DM in Austria showed significant differences in important quality-of-care process and outcome parameters across different groups of care units. Future research should also include prediction modeling for early warning and monitoring systems as well as adjustment for patient characteristics and duration and severity of disease.

Diabetic severity and oncological outcomes of colorectal cancer following curative resection: A population-based cohort study in Taiwan

BACKGROUND

Although diabetes is a poor prognostic factor for colorectal cancer (CRC), whether diabetes severity provides an additional predictive value for CRC prognosis remains unclear. The study aimed to investigate the prognostic differences after curative CRC resection among patients with different diabetic severities.

METHODS

This population-based retrospective cohort study analyzed data registered between 2007 and 2015 in the Cancer Registry Database, which is linked to the National Health Insurance Research Database and National Death Registry. Patients with CRC who underwent curative radical resection for stage I-III disease were evaluated, with their diabetic status subdivided into no diabetes, diabetes without complication, and diabetes with complications. Cox regressions were applied to determine the association between diabetes severity and CRC survival, including overall survival (OS), disease-free survival (DFS), time to recurrence, and cancer-specific survival (CSS).

RESULTS

A total of 59,202 patients with CRC were included. Compared with the no diabetes group, the diabetes without complication group has insignificantly worse OS (hazard ratio [HR], 1.05; 95% confidence interval [CI], 1.01-1.09), DFS (HR, 1.08; 95% CI, 1.04-1.12), and CSS (HR, 0.98; 95% CI, 0.93-1.03), whereas those with complicated diabetes had a significantly higher risk of poor survival (OS: HR, 1.85; 95% CI, 1.78-1.92; DFS: HR, 1.75; 95% CI, 1.69-1.82; CSS: HR, 1.41; 95% CI, 1.33-1.49). Patients with CRC and diabetes also had a higher risk of recurrence than did those without diabetes. Sex and TNM staging were important effect modifiers.

CONCLUSIONS

Among patients with CRC who undergo curative resection, the severity of the diabetes is inversely correlated with long-term outcomes, especially in women and patients in the earlier stages of CRC.

PLAIN LANGUAGE SUMMARY

The prognostic impact of diabetes severity in colorectal cancer (CRC) is yet to be clarified. In this cohort study of 59,202 patients with CRC, compared with patients with CRC and without diabetes, those with uncomplicated diabetes had an insignificantly worse CRC survival, whereas those with complicated diabetes had a significantly higher risk of poor survival. Multidisciplinary medical care to prevent progression into diabetes with complications is needed to improve survival among patients with CRC and diabetes.

Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up

BACKGROUND

Many have the rising coincidence of diabetes mellitus (DM) and endemic tuberculosis (TB). We evaluated whether the severity of diabetes is associated with an increased risk of active TB infection.

METHODS

 Using a nationally representative database from the Korean National Health Insurance System, 2, 489, 718 people with type 2 DM who underwent a regular health checkup during 2009-2012 were followed up until the end of 2018. The diabetes severity score parameters included the number of oral hypoglycemic agents (≥ 3), insulin use, diabetes duration (≥ 5 years), and the presence of chronic kidney disease (CKD) or cardiovascular disease. Each of these characteristics was scored as one point, and their sum (0-5) was used as the diabetes severity score.

RESULTS

We identified 21, 231 cases of active TB during a median follow-up of 6.8 years. Each parameter of the diabetes severity score was associated with an increased risk of active TB (all P < 0.001). Insulin use was the most significant factor related to the risk of TB, followed by CKD. The risk of TB increased progressively with increasing diabetes severity score. After adjusting for possible confounding factors, the hazard ratio (95% confidence interval) for TB were 1.23 (1.19-1.27) in participants with one parameter, 1.39 (1.33-1.44) in those with two parameters, 1.65 (1.56-1.73) in those with three parameters, 2.05 (1.88-2.23) in those with four parameters, and 2.62 (2.10-3.27) in those with five parameters compared with participants with no parameters.

CONCLUSION

Diabetes severity was strongly associated in a dose-dependent manner with the occurrence of active TB. People with a higher diabetes severity score may be a targeted group for active TB screening.

A nationwide cohort study on diabetes severity and risk of Parkinson disease

There is growing evidence that patients with type 2 diabetes mellitus (DM) have an increased risk of developing Parkinson's disease (PD) and share similar dysregulated pathways. We aimed to determine whether the risk of PD increases as diabetes progresses among patients with type 2 DM. Using a nationally representative database from the Korean National Health Insurance System, 2,362,072 individuals (≥40 years of age) with type 2 DM who underwent regular health checkups during 2009-2012 were followed up until the end of 2018. The diabetes severity score parameters included the number of oral hypoglycemic agents, diabetes duration, insulin use, or presence of chronic kidney disease, diabetic retinopathy, or cardiovascular disease. Each of these characteristics was scored as one unit of diabetes severity and their sum was defined as a diabetes severity score from 0-6. We identified 17,046 incident PD cases during the follow-up. Each component of the diabetes severity score showed a similar intensity for the risk of PD. Compared with subjects with no parameters, HR values (95% confidence intervals) of PD were 1.09 (1.04-1.15) in subjects with one diabetes severity score parameter, 1.28 (1.22-1.35) in subjects with two parameters, 1.55 (1.46-1.65) in subjects with three parameters, 1.96 (1.82-2.11) in subjects with four parameters, 2.08 (1.83-2.36) in subjects with five parameters, and 2.78 (2.05-3.79) in subjects with six parameters. Diabetes severity was associated with an increased risk of developing PD. Severe diabetes may be a risk factor for the development of PD.

Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial

Background: To explore the association between visit-to-visit variability of glycated hemoglobin (HbA1c) and cardiovascular outcomes in the patients with type 2 diabetes mellitus (T2DM) of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) study.

Methods: We conducted a post-hoc analysis on the ACCORD population including 9,544 participants with T2DM. Visit-to-visit variability of HbA1c was defined as the individual SD, coefficient of variation (CV), and variability independent of the mean (VIM) across HbA1c measurements. The clinical measurements included primary outcome [the first occurrence of non-fatal myocardial infarction (MI), non-fatal stroke or cardiovascular death], total mortality, cardiovascular death, non-fatal MI event, non-fatal stroke, total stroke, heart failure, macrovascular events, and major coronary events (CHD).

Results: Over a median follow-up of 4.85 years, 594 and 268 participants experienced all-cause mortality and cardiovascular mortality, respectively. After adjusting for baseline HbA1c levels and confounding factors, the adjusted hazard ratio (HR) comparing patients in the highest vs. the lowest quartile CV of HbA1c variability was 1.61 (95% CI 1.29–2.00) for the primary outcome. Similar trends for secondary outcome were also observed. There was no association between HbA1c fluctuation and non-fatal stroke. Noticeably, there was 66% greater risk for the all-cause mortality among patients in the highest vs. the lowest quartile (HR 1.66, 95% CI 1.27–2.17).

Conclusions: Greater variability of HbA1c is associated with higher risk for cardiovascular complications and all-cause death in T2DM. Our study stresses the significance of well-controlled glycemic levels for improving cardiovascular outcomes. Further randomized clinical trials are required to confirm these findings.

Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study

OBJECTIVE

Clinically applicable diabetes severity measures are lacking, with no previous studies comparing their predictive value with glycated hemoglobin (HbA_1c). We developed and validated a type 2 diabetes severity score (the DIabetes Severity SCOre, DISSCO) and evaluated its association with risks of hospitalization and mortality, assessing its additional risk information to sociodemographic factors and HbA_1c.

RESEARCH DESIGN AND METHODS

We used UK primary and secondary care data for 139 626 individuals with type 2 diabetes between 2007 and 2017, aged ≥35 years, and registered in general practices in England. The study cohort was randomly divided into a training cohort (n=111 748, 80%) to develop the severity tool and a validation cohort (n=27 878). We developed baseline and longitudinal severity scores using 34 diabetes-related domains. Cox regression models (adjusted for age, gender, ethnicity, deprivation, and HbA_1c) were used for primary (all-cause mortality) and secondary (hospitalization due to any cause, diabetes, hypoglycemia, or cardiovascular disease or procedures) outcomes. Likelihood ratio (LR) tests were fitted to assess the significance of adding DISSCO to the sociodemographics and HbA_1c models.

RESULTS

A total of 139 626 patients registered in 400 general practices, aged 63±12 years were included, 45% of whom were women, 83% were White, and 18% were from deprived areas. The mean baseline severity score was 1.3±2.0. Overall, 27 362 (20%) people died and 99 951 (72%) had ≥1 hospitalization. In the training cohort, a one-unit increase in baseline DISSCO was associated with higher hazard of mortality (HR: 1.14, 95% CI 1.13 to 1.15, area under the receiver operating characteristics curve (AUROC)=0.76) and cardiovascular hospitalization (HR: 1.45, 95% CI 1.43 to 1.46, AUROC=0.73). The LR tests showed that adding DISSCO to sociodemographic variables significantly improved the predictive value of survival models, outperforming the added value of HbA_1c for all outcomes. Findings were consistent in the validation cohort.

CONCLUSIONS

Higher levels of DISSCO are associated with higher risks for hospital admissions and mortality. The new severity score had higher predictive value than the proxy used in clinical practice, HbA_1c. This reproducible algorithm can help practitioners stratify clinical care of patients with type 2 diabetes.

The assessment and management of quality of life of older adults with diabetes mellitus

Introduction: As the population ages, the number of older adults with diabetes mellitus will continue to rise. The burden of diabetes on older adults is significant due to the disease itself, its complications, and its treatments. This is compounded by geriatric syndromes such as frailty and cognitive dysfunction. Consequently, health and diabetes-related quality of life (QoL) are diminished.Areas covered: This article reviews the value of assessing QoL in providing patient-centered care and the associations between QoL measures and health outcomes. The determinants of QoL particular to diabetes and the older population are reviewed, including psychosocial, physical, and cognitive burdens of diabetes and aging and the impact of hypoglycemia on QoL. Strategies are described to alleviate these burdens and improve QoL, and barriers to multidisciplinary patient-centered care are discussed. QoL measurement instruments are reviewed.Expert opinion: The goals of treating diabetes and its complications should be considered carefully along with each patient's capacity to withstand the burdens of treatment. This capacity is reduced by socioeconomic, psychological, cognitive, and physical factors reduces this capacity. Incorporating measurement of HRQoL into clinical practices is possible, but deficiencies in the systems of health-care delivery need to be addressed to facilitate their use.