Study of hospitalization and mortality in Korean diabetic patients using the diabetes complications severity index

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.

Association between initial continuity of care status and diabetes-related health outcomes in older patients with type 2 diabetes mellitus: A nationwide retrospective cohort study in South Korea

BACKGROUND AND AIM

Timely and continuous care is necessary for patients with diabetes to prevent hospitalization and complications. This study investigated the association between initial Continuity of Care Index (COCI) status after diagnosis of type 2 diabetes mellitus (T2DM) and short- and long-term diabetes-related health outcomes.

METHODS

It targeted elderly patients aged 60 years and above diagnosed with T2DM and used the National Health Insurance Service Senior cohort data from 2008 to 2019. The outcome measures were diabetic avoidable hospitalization and diabetic complication incidence for a five-year period. The main independent variable was the first-year COCI status after T2DM diagnosis. Survival analyses were performed using the Cox proportional hazards model.

RESULTS

Participants with a good COCI status within the first year of being diagnosed with T2DM experienced a reduced risk of diabetes-induced avoidable hospitalization (five years: Hazard ratio (HR) 0.39, 95 % Confidence interval (CI) 0.27-0.57; overall period: HR 0.56, 95 % CI 0.43-0.72) and diabetic complications (five years: HR 0.74, 95 % CI 0.68-0.80; overall period: HR 0.77, 95 % CI 0.71-0.82).

CONCLUSIONS

In the short- and long-term, there is a need for early management and improved healthcare accessibility of diabetes to prevent diabetes-avoidable hospitalization and diabetes-related complications.

Management and rehabilitation of moderate-to-severe diabetic foot infection: a narrative review

Diabetic foot is one of the most devastating consequences of diabetes, resulting in amputation and possibly death. Therefore, early detection and vigorous treatment of infections in patients with diabetic foot are critical. This review seeks to provide guidelines for the therapy and rehabilitation of patients with moderate-to-severe diabetic foot. If a diabetic foot infection is suspected, bacterial cultures should be initially obtained. Numerous imaging studies can be used to identify diabetic foot, and recent research has shown that white blood cell single-photon emission computed tomography/computed tomography has comparable diagnostic specificity and sensitivity to magnetic resonance imaging. Surgery is performed when a diabetic foot ulcer is deep and is accompanied by bone and soft tissue infections. Patients should be taught preoperative rehabilitation before undergoing stressful surgery. During surgical procedures, it is critical to remove all necrotic tissue and drain the inflammatory area. It is critical to treat wounds with suitable dressings after surgery. Wet dressings promote the formation of granulation tissues and new blood vessels. Walking should begin as soon as the patient's general condition allows it, regardless of the wound status or prior walking capacity. Adequate treatment of comorbidities, including hypertension and dyslipidemia, and smoking cessation are necessary. Additionally, broad-spectrum antibiotics are required to treat diabetic foot infections.

Clinical Link between the BARD Score at Diagnosis and Mortality during Follow-Up in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis

This study investigated whether the BARD score at diagnosis could predict all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis (AAV). This study included 236 immunosuppressive drug-naïve patients without chronic liver diseases such as viral hepatitis, non-alcoholic fatty liver disease (NAFLD), and advanced liver diseases and their clinical data at diagnosis, such as age, sex, and the Birmingham Vasculitis Activity Score (BVAS). The BARD score was calculated by the sum of aspartate transaminase (AST)/alanine transaminase (ALT) ratio ≥ 0.8 (+2 points), body mass index (BMI) ≥ 28 kg/m2 (+1 point), and the presence of type 2 diabetes mellitus (T2DM) (+1 point). All-cause mortality was investigated as a poor outcome of AAV. The median age of AAV patients was 60.0 years, and 34.7% were men. Among AAV patients, 7, 50, and 187 scored 1, 1, and 2 points owing to having a BMI ≥ 28 kg/m2, T2DM, and an AST/ALT ratio ≥ 0.8, respectively. Patients with a BARD score ≥ 2 and those with a BARD score ≥ 3 exhibited significantly lower cumulative patient survival rates than those without (p = 0.038 and p = 0.003, respectively). In the multivariable Cox analysis, among the two cut-offs of the BARD scores, only a BARD score ≥ 3 (HR 2.866), along with age (HR 1.061), male sex (HR 2.327), and BVAS (HR 1.100), was independently associated with all-cause mortality during follow-up. In conclusion, this study was the first to demonstrate that the BARD score ≥ 3 at AAV diagnosis could predict all-cause mortality during follow-up in AAV patients.

The impact of the incidence of diabetic complications on mortality in colorectal cancer patients with diabetes: A nationwide study

PURPOSE

The prevalence of diabetes is higher in patients with colorectal cancer, which is important because diabetes is recognized as a risk factor for increased mortality. This study investigated the impact of incident diabetes-related complications on all-cause five-year mortality in older aged colorectal cancer patients with diabetes.

METHODS

The 2008 to 2019 National Health Insurance Service data on the elderly were used to identify patients with colorectal cancer aged 60 years or above diagnosed with type 2 diabetes mellitus. The outcome measure was all-cause five-year mortality. The main independent variable was incident status of diabetes-related complications using the Diabetes Complications Severity Index (DCSI). Survival analyses were performed using the Cox proportional hazards model, in addition to the calculation of risk differences. Subgroup analysis was conducted based on the type of complication and DCSI scores.

RESULTS

Among 1,312 individuals, 319 (24.3%) died within five years after one year of a cancer diagnosis. The risk of mortality was higher in patients with diabetes and cancer having incident diabetes-related complications (Hazard Ratio 1.29, 95% Confidence Interval 1.03-1.63). These tendencies were generally maintained regardless of the type of complication and DCSI scores.

CONCLUSION

The incidence of diabetes-related complications after cancer diagnosis was associated with an increased risk of all-cause five-year mortality in older patients with colorectal cancer and preexisting diabetes.

Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning

Diabetes mellitus (DM) affects the quality of life and leads to disability, high morbidity, and premature mortality. DM is a risk factor for cardiovascular, neurological, and renal diseases, and places a major burden on healthcare systems globally. Predicting the one-year mortality of patients with DM can considerably help clinicians tailor treatments to patients at risk. In this study, we aimed to show the feasibility of predicting the one-year mortality of DM patients based on administrative health data. We use clinical data for 472,950 patients that were admitted to hospitals across Kazakhstan between mid-2014 to December 2019 and were diagnosed with DM. The data was divided into four yearly-specific cohorts (2016-, 2017-, 2018-, and 2019-cohorts) to predict mortality within a specific year based on clinical and demographic information collected up to the end of the preceding year. We then develop a comprehensive machine learning platform to construct a predictive model of one-year mortality for each year-specific cohort. In particular, the study implements and compares the performance of nine classification rules for predicting the one-year mortality of DM patients. The results show that gradient-boosting ensemble learning methods perform better than other algorithms across all year-specific cohorts while achieving an area under the curve (AUC) between 0.78 and 0.80 on independent test sets. The feature importance analysis conducted by calculating SHAP (SHapley Additive exPlanations) values shows that age, duration of diabetes, hypertension, and sex are the top four most important features for predicting one-year mortality. In conclusion, the results show that it is possible to use machine learning to build accurate predictive models of one-year mortality for DM patients based on administrative health data. In the future, integrating this information with laboratory data or patients' medical history could potentially boost the performance of the predictive models.

Adapted Diabetes Complications Severity Index and Charlson Comorbidity Index in predicting all-cause and cause-specific mortality among patients with type 2 diabetes

INTRODUCTION

Adapted Diabetes Complications Severity Index (aDCSI) is a commonly used severity measure based on the number and severity of diabetes complications using diagnosis codes. The validity of aDCSI in predicting cause-specific mortality has yet to be verified. Additionally, the performance of aDCSI in predicting patient outcomes compared with Charlson Comorbidity Index (CCI) remains unknown.

RESEARCH DESIGN AND METHODS

Patients aged 20 years or older with type 2 diabetes prior to January 1, 2008 were identified from the Taiwan National Health Insurance claims data and were followed up until December 15, 2018. Complications for aDCSI including cardiovascular, cerebrovascular and peripheral vascular disease, metabolic disease, nephropathy, retinopathy and neuropathy, along with comorbidities for CCI, were collected. HRs of death were estimated using Cox regression. Model performance was evaluated by concordance index and Akaike information criterion.

RESULTS

1,002,589 patients with type 2 diabetes were enrolled, with a median follow-up of 11.0 years. After adjusting for age and sex, aDCSI (HR 1.21, 95% CI 1.20 to 1.21) and CCI (HR 1.18, 1.17 to 1.18) were associated with all-cause mortality. The HRs of aDCSI for cancer, cardiovascular disease (CVD) and diabetes mortality were 1.04 (1.04 to 1.05), 1.27 (1.27 to 1.28) and 1.28 (1.28 to 1.29), respectively, and the HRs of CCI were 1.10 (1.09 to 1.10), 1.16 (1.16 to 1.17) and 1.17 (1.16 to 1.17), respectively. The model with aDCSI had a better fit for all-cause, CVD and diabetes mortality with C-index of 0.760, 0.794 and 0.781, respectively. Models incorporating both scores had even better performance, but the HR of aDCSI for cancer (0.98, 0.97 to 0.98) and the HRs of CCI for CVD (1.03, 1.02 to 1.03) and diabetes mortality (1.02, 1.02 to 1.03) became neutral. When aDCSI and CCI were considered time-varying scores, the association with mortality was stronger. aDCSI had a strong correlation with mortality even after 8 years (HR 1.18, 1.17 to 1.18).

CONCLUSIONS

The aDCSI predicts all-cause, CVD and diabetes deaths but not cancer deaths better than the CCI. aDCSI is also a good predictor for long-term mortality.

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.

An Overview of Diabetes Mellitus in Egypt and the Significance of Integrating Preventive Cardiology in Diabetes Management

In Egypt, diabetes mellitus (DM) is a significant public health concern, and the disease is considered a modern pandemic throughout the world. The incidence of diabetes is steadily climbing, which is causing grave concern. As a result, it is essential to take into consideration the risk factors that are pervasive in Egyptian society and have led to the worsening of this problem. These risk factors include sedentary lifestyles, obesity, hepatitis C infections, pesticides, smoking, and bad cultural habits. In this review, we aim to demonstrate the possible solutions to fight diabetes mellitus and overcome its serious health and socioeconomic burdens in Egypt. A multidisciplinary, team-based approach is highly recommended in diabetes management. Primary care physicians, endocrinologists, nephrologists, and preventive cardiologists all play a crucial role in providing the highest possible level of care to diabetic patients by collaborating closely with one another. The assessment of cardiovascular risk and the prevention of life-threatening cardiovascular events, common among diabetic patients, warrant the introduction of preventive cardiology, a new and significant concept in diabetes care that demands adoption. The integration of preventive cardiology into the treatment of diabetic patients is expected to significantly cut down the morbidity and mortality rates associated with diabetes mellitus and provide them with a better quality of life.

Prucalopride might improve intestinal motility by promoting the regeneration of the enteric nervous system in diabetic rats

The present study aimed to investigate whether prucalopride, as a 5-hydroxytryptamine 4 (5-HT4) receptor agonist, improved intestinal motility by promoting the regeneration of the enteric nervous system (ENS) in rats with diabetes mellitus (DM). A rat model of DM was established using an intraperitoneal injection of streptozotocin. The rats were randomly divided into four groups of 6 rats/group: Control, DM (DM model), DM + A (5 µg/kg prucalopride) and DM + B (10 µg/kg prucalopride). The rats in the Control group were given an equal volume of citric acid solvent. After successful model establishment, high blood glucose levels were maintained for 2 weeks before administration of prucalopride. The colonic transit time was measured using the glass bead discharge method. It was revealed that the colonic transit time of diabetic rats was the longest, and this was significantly shortened in the DM + B group. Subsequently, the colons were collected. The expression levels of Nestin, glial fibrillary acidic protein (GFAP), SOX10, RNA-binding protein human antigen D (HuD) and ubiquitin thiolesterase (PGP9.5) were determined via immunohistochemical analysis. Immunofluorescence double staining of 5-HT4 + Nestin and Ki67 + Nestin was performed. The 5-HT level was measured using ELISA. Compared with that in the control group, Nestin expression was significantly increased in the DM and DM + A groups, and it was concentrated in columnar epithelial cells and the mesenchyme. Furthermore, the expression levels of Nestin in the DM + A group were higher than those in the DM group. No difference was observed in the expression levels of Nestin between the DM + B group and the Control group. The expression levels of 5-HT protein were highest in the Control group; however, the expression levels of 5-HT protein in the DM group, DM + A group and DM + B group exhibited an increasing trend. Similar trends in the expression of 5-HT4 and Nestin were not observed; however, similar trends in the expression of Nestin and Ki67 were observed. The expression levels of GFAP, SOX10, PGP9.5 and Ki67 in the DM + A and DM + B groups were higher compared with those in the DM group. In the DM + A group, HuD expression was decreased compared with that in the Control group but it was markedly higher compared with that in the DM group. In conclusion, prucalopride may improve intestinal motility by promoting ENS regeneration in rats with DM.

Disparities in diabetes-related avoidable hospitalization among diabetes patients with disability using a nationwide cohort study

Diabetes is an ambulatory care sensitive condition that quality of care can prevent complications development and hospitalization needs. However, diabetes patients with disability face greater challenges with receiving quality diabetes care than those without disabilities. This study examined diabetes-related avoidable hospitalizations (DRAH) focusing on the association with disability. We used nationally representative health insurance cohort data from 2002 to 2013. The study population is people who were newly diagnosed with type 2 diabetes. We measured the cumulated number of DRAH using the Prevention Quality Indicators (PQIs). The variables of interest were disability severity and type. We performed a recurrent events analysis using Cox proportional hazard regression model. Among 49,410 type 2 diabetes patients, 12,231 (24.8%) experienced DRAHs at least once during the follow-up period. Among the total population, 5924 (12.0%) diabetes patients were registered as disabled. The findings report that disability severity was significantly associated with higher risks for DRAH, where severely disabled diabetes patients showed the highest hazard ratio of 2.24 (95% CI 1.80-2.79). Among three DRAH indicators, severely disabled diabetes patients showed increased risks for long-term (AHR 2.21, 95% CI 1.89-2.60) and uncontrolled (AHR 2.28, 95% CI 1.80-2.88) DRAH. In addition, intellectual (AHR 5.52, 95% CI 3.78-8.05) and mental (AHR 3.97, 95% CI 2.29-6.89) disability showed higher risks than other types of disability. In conclusion, diabetes patients with disability are at higher risk for DRAH compared to those without disabilities, and those with intellectual and mental disabilities were more likely to experience DRAH compared to those with physical or other types of disability. These findings call for action to find the more appropriate interventions to improve targeted diabetes primary care for patients with disability. Further research is needed to better understand determinants of increasing risks of DRAH.

Diabetes complication burden and patterns and risk of mortality in people with schizophrenia and diabetes: A population-based cohort study with 16-year follow-up

Schizophrenia is associated with increased prevalence of diabetes. However, risk of diabetes complications as well as the impact of complication burden and patterns on subsequent mortality risk in schizophrenia patients with co-existing diabetes is understudied. This population-based, propensity-score matched (1:10) cohort study identified 6991 patients with incident diabetes and pre-existing schizophrenia and 68,682 patients with incident diabetes only (comparison group) between 2001 and 2016 in Hong Kong, using territory-wide medical-record database of public healthcare services. Complications were measured by Diabetes Complications Severity Index (DCSI), which stratified complication burden into 6 levels (DCSI score=0, 1, 2, 3, 4, or ≥5). Associations of diabetes complications, in terms of DCSI scores (complication burden), specific types and two-way combinations of complications (complication patterns), with all-cause mortality rate in schizophrenia were evaluated using Cox proportional-hazards models. Schizophrenia group had comparable macrovascular (adjusted OR 0.99 [95% CI 0.92-1.06]) and lower microvascular (0.79 [0.73-0.86]) complication rates relative to comparison group. Mortality risk ratio for schizophrenia was elevated at all complication burden levels, which conferred incremental impact on excess mortality in both groups. Cardiovascular diseases (1.60 [1.45-1.77]) and cerebrovascular-metabolic diseases (2.74 [1.25-5.99]) were associated with the highest differential mortality in schizophrenia among various specific complications and complication combinations, respectively. Our results indicate that schizophrenia patients with co-existing diabetes are at increased risk of excess mortality relative to those with diabetes alone, regardless of complication burden levels. Implementation of multilevel, targeted interventions is needed to improve diabetes-related outcomes and reduce mortality gap in this vulnerable population.