Primary Care Diabetes最新文献

Aims

The main objective in this study was to determine the prevalence of Chronic Kidney Disease (CKD) in people with Type 2 Diabetes Mellitus (T2DM) in the Autonomous Community (AC) of Aragon (Spain) and to detect whether or not there is under-registration in the patient's history. As a secundary objetive, it was proposed to study the most relevant demographic and clinical characteristics of people with CKD.

Methods

Observational and retrospective real world data study of the population over 18 years of age with a diagnosis of T2DM, between January 2017 and December 2021. A descriptive analysis of qualitative and quantitative variables, and a comparison using the parametric Student's t-test or the non-parametric Mann-Whitney U-test between both groups was performed.

Results

The prevalence of T2DM was 8.07 % and that of CKD 31.4 %, with an under-reporting of 47 %. The main risk factor associated with CKD was arterial hypertension (p<0.001), followed by dyslipidemia (p<0.001). The main treatment used for diabetes control was metformin, both in patients with and without CKD (p<0.001). A total of 56.81 % of people with T2DM and CKD did not undergo annual monitoring of their renal function (glomerular filtration rate) or determination of albuminuria.

Conclusions

The prevalence of CKD increases in patients with T2DM (31.4 %), and in almost half of patients the diagnosis is not registered (47 %). This under-reporting delays the implementation of measures needed to prevent CKD progression.

Aims

To investigate real-world treatment adherence and persistence in people with type 2 diabetes newly initiating oral semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1 RA), or a dipeptidyl peptidase-4 inhibitor (DPP-4i).

Methods

This retrospective cohort study used the Merative™ MarketScan® Commercial and Medicare databases. Index date was the first fill for the cohort medication. Adherence was defined as proportion of days covered (PDC) over the 12-month post-index period (‘adherent’ = ≥0.8). Persistence was number of days until discontinuation, based on a 45-day gap. Results were compared between cohorts using inverse probability treatment weighting.

Results

Oral semaglutide (n=5485) and DPP-4i (n=4980) cohorts had similar percentages of people who were adherent (PDC ≥0.8; 41.6 % vs. 42.9 %; P = 0.182) and persistent for ≥9 months (45.0 % vs. 46.3 %; P = 0.185). The DPP-4i cohort used significantly more anti-diabetic medication (ADM) classes over the post-index period (mean±SD: 2.6±1.0 vs. 2.9±1.1, P < 0.001), with 23.2 % filling a GLP-1 RA in the post-period.

Conclusions

Adherence and persistence were similar between cohorts. However, there are potential benefits to prescribing oral semaglutide over DPP-4is, including reduced need for additional ADM.

Better diet quality regardless of community food access was associated with a higher likelihood of glycemic control in early pregnancy among nulliparous individuals with pregestational diabetes. These findings highlight the need for interventions that address nutrition insecurity for pregnant individuals living with diabetes.

Prevalence of diabetes in Arab region has significantly increased, resulting in a significant economic burden on healthcare systems. This surge can be attributed to obesity, rapid urbanization, changing dietary habits, and sedentary lifestyles. The Arab Diabetes Forum (ADF) has established localized recommendations to tackle the region's rising diabetes prevalence. The recommendations, which incorporate worldwide best practices, seek to enhance the quality of treatment for people with diabetes by raising knowledge and adherence among healthcare providers. The guidelines include comprehensive recommendations for screening, diagnosing, and treating type 1 and type 2 diabetes in children and adults for better overall health results.

Aims

Charcot neuroarthropathy (CN) is a complex disease of the bone and joints that can lead to serious and life-threatening complications. This study investigates epidemiologic trends in diabetic CN in Texas and the impact of age on these values.

Methods

A retrospective analysis was conducted using the Texas Department of State Health Services Hospital Discharge Data Public Use Data File. Using International Classification of Diseases, Ninth (ICD-9) and Tenth (ICD-10) Revision codes, we identified patients with diabetes and Charcot ankle or foot. Data extracted included diagnoses, race, and gender. Population rates were estimated using census data, calculated per 1000 population and standardized by age.

Results

Overall and age-standardized rates of CN increased each year from 2006 to 2016, except for a downward trend from 2014 to 2016. Poisson regression revealed significant increases in the incidence rate ratio compared to 2006 for each year from 2008 to 2016. When age group is included, all years except 2007 show a significant increase relative to 2006, and all age groups have increased rates relative to ages 18–44. Major and minor amputations in patients with CN have increased.

Conclusions

The increasing rates of CN and amputations highlight the need for further research and standardized strategies for diagnosis and management.

Background and aim

It is crucial to identify a diabetes diagnosis early. Create a predictive model utilizing machine learning (ML) to identify new cases of diabetes in primary health care (PHC).

Methods

A case-control study utilizing data on PHC visits for sex-, age, and PHC-matched controls. Stochastic gradient boosting was used to construct a model for predicting cases of diabetes based on diagnostic codes from PHC consultations during the year before index (diagnosis) date and number of consultations. Variable importance was estimated using the normalized relative influence (NRI) score. Risks of having diabetes were calculated using odds ratios of marginal effects (OR_ME). Four groups by age and sex were studied, age-groups 35–64 years and ≥ 65 years in men and women, respectively.

Results

The most important predictive factors were hypertension with NRI 21.4–29.7 %, and obesity 4.8–15.2 %. The NRI for other top ten diagnoses and administrative codes generally ranged 1.0–4.2 %.

Conclusions

Our data confirm the known risk patterns for predicting a new diagnosis of diabetes, and the need to test blood glucose frequently. To assess the full potential of ML for risk prediction purposes in clinical practice, future studies could include clinical data on life-style patterns, laboratory tests and prescribed medication.

We aimed to evaluate the utility of the FreeStyle Libre 2 device for reducing time below range level 1 and level 2 compared with the Freestyle Libre device (without alarms) in people with type 1 diabetes mellitus. We conducted longitudinal observational follow-up study of a cohort of 100 people with type 1 diabetes mellitus who had switched from FreeStyle Libre to FreeStyle Libre 2 as part of routine clinical practice. Three months after switching to FreeStyle Libre 2, compared with results with FreeStyle Libre, there were a significant improvements in time below range level 1 (p = 0.02) and level 2 (p <0.001), time in range (p <0.001), time above range level 1 (p = 0.002), glucose management indicator (p= 0.04) and mean glucose (p= 0.04) during follow-up. Furthermore there was a significant direct association between age and change in TIR with a coefficient of 0.23, and a significant inverse association between age and change in TAR-1 with a coefficient of 0.11. Switching to a flash glucose monitoring system with alarms improves time below range, time in range and coefficient of variation in people with type 1 diabetes mellitus.

Purpose

The purpose of this study was to explore the existing literature on the relationship between depressive symptoms and executive function in patients with type 1 diabetes (T1DM) across the lifespan.

Methods

The scoping review followed the PRISMA protocol by using three databases: PubMed, CINAHL, and PsycINFO on May 14, 2023. Primary research that included reported executive function and the association with depressive symptoms was included in the review.

Results

Of 1470 de-duplicated publications identified, nine articles were included in the review. Five studies evaluated the T1DM population, while four studies evaluated T1DM and type 2 diabetes (T2DM) as an aggregate result. Three studies indicated an association between depressive symptoms and executive function in adults with T1DM, and four studies indicated an association between depressive symptoms and executive function in adults with either T1DM or T2DM. In general, participants who reported depressive symptoms also exhibited poor executive function. However, two studies did not find an association between depressive symptoms and executive function.

Conclusion

In summary, the seven studies in this review suggest that individuals with T1DM who report depressive symptoms are at a higher risk of poor executive function; a clear association between depressive symptoms and executive function in individuals with T1DM remains inconclusive. There is a need to explore this relationship in the future.