Multimorbidity and achievement of treatment goals among patients with type 2 diabetes: a primary care, real-world study

How valid is a prescription-based multimorbidity index (Rx-risk) in predicting mortality in the Outcomes and Multimorbidity In Type 2 diabetes (OMIT) study? A nation-wide registry-based cohort study from Norway

OBJECTIVE

The prescription-based Rx-risk index has previously been developed to measure multimorbidity. We aimed to adapt and evaluate the validity of the Rx-risk index in prediction of mortality among persons with type 2 diabetes.

DESIGN

Registry-based study.

SETTING

Adults with type 2 diabetes in Norway identified within the 'Outcomes and Multimorbidity In Type 2 diabetes' cohort, with linkage to prescriptions from the Norwegian Prescription Database and mortality from the Population Registry.

PARTICIPANTS

We defined a calibration sample of 42 290 adults diagnosed with type 2 diabetes 1950-2013, and a temporal validation sample of 7085 adults diagnosed 2014-2016 to evaluate the index validity over time PRIMARY OUTCOME MEASURE: All-cause mortality METHODS: For the calibration sample, dispensed drug prescriptions in 2013 were used to define 44 morbidity categories. Weights were estimated using regression coefficients from a Cox regression model with 5 year mortality as the outcome and all morbidity categories, age and sex included as covariates. The Rx-risk index was computed as a weighted sum of morbidities. The validity of the index was evaluated using C-statistic and calibration plots.

RESULTS

In the calibration sample, mean (SD) age at start of follow-up and duration of diabetes was 63.8 (12.4) and 10.1 (7.0) years, respectively. The overall C-statistic was 0.82 and varied from 0.74 to 0.85 when stratifying on age groups, sex, level of education and country of origin. In the validation sample, mean (SD) age and duration of diabetes was 59.7 (13.0) and 2.0 (0.8) years, respectively. Despite younger age, shorter duration of diabetes and later time period, the C-index was high both in the total sample (0.84) and separately for men (0.83) and women (0.84).

CONCLUSIONS

The Rx-risk index showed good discrimination and calibration in predicting mortality and thus presents a valid tool to assess multimorbidity among persons with type 2 diabetes.

Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge

Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.

Cardiometabolic, functional, and psychosocial effects of a remotely supervised home-based exercise program in individuals with type 2 diabetes (RED study): study protocol for a randomized clinical trial

BACKGROUND

Type 2 diabetes mellitus (T2D) is a serious global health problem, and exercise is considered an essential non-pharmacological tool in T2D prevention and treatment. During periods of social isolation experienced by the COVID-19 pandemic, home-based exercise programs were strongly recommended as a strategy to facilitate exercise practice and reduce the negative impacts of social isolation. Remotely supervised exercise stands out as an easily accessible strategy after the pandemic, as it is a tool that aims to facilitate access to exercise by this population. The purpose of the RED study is to verify the effects of a remotely supervised home-based exercise program compared to a control group on cardiometabolic, functional, and psychosocial outcomes in patients with T2D.

METHODS

Participants are randomized into the control group (CG) and the intervention group (IG). Participants allocated to the CG receive recommendations for the practice of physical activity based on information from chapters of the Physical Activity Guide for the Brazilian Population, while the IG will perform a 12-week home-based exercise program supervised remotely by video call. The intervention has a weekly frequency of two sessions per week on non-consecutive days during the first 6 weeks and three sessions per week on non-consecutive days for the remaining 6 weeks. The RED study has HbA1c as the primary outcome, and the participants' cardiometabolic, functional, and psychosocial parameters are assessed at baseline (week 0) and post-intervention (week 13).

DISCUSSION

Expected results of the proposed study will provide the knowledge base of health professionals and deliver more evidence for a growing area, i.e., home-based exercise and T2D. Additionally, this protocol aims to verify and demonstrate whether this program can be accessible and effective for different health outcomes in patients with T2D.

TRIAL REGISTRATION

The RED study protocol was prospectively registered at ClinicalTrials.gov (NCT05362071). Date registered April 6, 2022. https://clinicaltrials.gov/ct2/show/NCT05362071 .

The multidisciplinary team in diagnosing and treatment of patients with diabetes and comorbidities: A scoping review

Background

Multidisciplinary Teams (MDTs) has been suggested as an intervention to overcome some of the complexities experienced by people with diabetes and comorbidities in terms of diagnosis and treatment. However, evidence concerning MDTs within the diabetes field remains sparse.

Objective

This review aims to identify and map available evidence on key characteristics of MDTs in the context of diagnosis and treatment in people with diabetes and comorbidities.

Methods

This review followed the PRISMA-ScR guidelines. Databases PubMed, EMBASE, and CINAHL were systematically searched for studies assessing any type of MDT within the context of diagnosis and treatment in adult people (≥ 18 years) with diabetes and comorbidities/complications. Data extraction included details on study characteristics, MDT interventions, digital health solutions, and key findings.

Results

Overall, 19 studies were included. Generally, the MDTs were characterized by high heterogeneity. Four overall components characterized the MDTs: Both medical specialists and healthcare professionals (HCPs) of different team sizes were represented; interventions spanned elements of medication, assessment, nutrition, education, self-monitoring, and treatment adjustment; digital health solutions were integrated in 58% of the studies; MDTs were carried out in both primary and secondary healthcare settings with varying frequencies. Generally, the effectiveness of the MDTs was positive across different outcomes.

Conclusions

MDTs are characterized by high diversity in their outline yet seem to be effective and cost-effective in the context of diagnosis and treatment of people with diabetes and comorbidities. Future research should investigate the cross-sectorial collaboration to reduce care fragmentation and enhance care coordination.

Multimorbidity, Frailty and Diabetes in Older People-Identifying Interrelationships and Outcomes

Multimorbidity and frailty are highly prevalent in older people with diabetes. This high prevalence is likely due to a combination of ageing and diabetes-related complications and other diabetes-associated comorbidities. Both multimorbidity and frailty are associated with a wide range of adverse outcomes in older people with diabetes, which are proportionally related to the number of morbidities and to the severity of frailty. Although, the multimorbidity pattern or cluster of morbidities that have the most adverse effect are not yet well defined, it appears that mental health disorders enhance the multimorbidity-related adverse outcomes. Therefore, comprehensive diabetes guidelines that incorporate a holistic approach that includes screening and management of mental health disorders such as depression is required. The adverse outcomes predicted by multimorbidity and frailty appear to be similar and include an increased risk of health care utilisation, disability and mortality. The differential effect of one condition on outcomes, independent of the other, still needs future exploration. In addition, prospective clinical trials are required to investigate whether interventions to reduce multimorbidity and frailty both separately and in combination would improve clinical outcomes.

Association of renal function screening frequency with renal function decline in patients with type 2 diabetes: a real-world study in primary health care

Aims

To examine the association of the screening frequency of estimated glomerular filtration rate (eGFR) with the substantial reduction in eGFR (≥ 25%) among type 2 diabetes (T2D) patients with normal (eGFR≥60 ml/min/1.73 m2) and impaired kidney function (eGFR< 60 ml/min/1.73 m2).

Methods

A longitudinal study involving 5104 T2D patients with follow-up period of 6.8 years (1.9 SD) were treated at the Rovaniemi Health Center, Rovaniemi, Finland during 2011–2019. The association between the screening frequency of eGFR (yearly vs. non-yearly) and the substantial reduction in eGFR was studied with logistical models and adjusted with biochemical variables and preventive medications.

Results

Among the T2D patients with normal kidney function, non-yearly eGFR screening was significantly associated with substantial eGFR reduction in both unadjusted (odds ratio [OR] 3.29, 95% confidence interval [CI] 2.54–4.33) and adjusted models (OR 2.06, 95% CI 1.21–3.73) compared with yearly screening frequency. In the group of patients with impaired kidney function in the unadjusted model, non-yearly eGFR screening was significantly associated with substantial eGFR reduction (OR 2.38, 95% CI 1.30–4.73), but became non-significant after adjustments (OR 1.89, 95% CI 0.61–7.21).

Conclusions

This study underscores the role of regular eGFR screening in the prevention of kidney function decline.

Association of musculoskeletal pain with the achievement of treatment targets for type 2 diabetes among primary care patients

AIMS

To assess the association of diagnosed musculoskeletal (MS) pain (low back, neck, shoulder, and knee pain; and the number of pain sites) with the achievement of targets for glycosylated haemoglobin A1c (HbA1c), low-density-lipoprotein cholesterol (LDL), and systolic blood pressure (SBP) among primary care patients with type 2 diabetes (T2D).

METHODS

The cross-sectional study population consisted of 3478 patients with a registry-based T2D diagnosis and available registry-based data on MS pain diagnoses, covariates, and outcomes between 2016 and 2019. Logistic regression analysis was used to evaluate the study aims.

RESULTS

Overall, 22% had at least one of the four types of MS pain, and 73%, 57%, and 51% achieved the treatment targets of HbA1c, LDL, and SBP, respectively. T2D patients with or without MS pain did not differ in their achievement of T2D treatment goals. Of pain locations, low back pain was associated with higher rates of achievement of the LDL target (OR 1.29, 95% CI 1.01-1.65), but the association was attenuated in the adjusted model.

CONCLUSIONS

MS pain was relatively prevalent among primary care patients with T2D, but did not influence the achievement of T2D treatment goals.