Body mass index and insulin use as identifiers of high-cost patients with type 2 diabetes: A retrospective analysis of electronic health records linked to insurance claims data

Weight Change and the Association with Adherence and Persistence to Diabetes Therapy: A Narrative Review

PURPOSE

Type 2 diabetes (T2D) medication adherence is poor and is impacted by individual drug characteristics. Treatment-associated weight change can affect medication-taking behavior. This review aimed to explore weight change on T2D therapy and consider its impact on adherence and discontinuation.

METHODS

Searches were conducted in MEDLINE and EMBASE (2005 to September 2020), and among recent congress abstract books for studies providing data on medication adherence or discontinuation and weight change in people with T2D (PwD).

RESULTS

Nine studies meeting the inclusion criteria were identified from 9188 bibliographic records. All three studies exploring weight change and discontinuation reported weight loss to be associated with higher persistence. Seven studies of varying design explored weight change and adherence. Four reported absolute weight change (kg) and adherence: one pooled data from different diabetes medications and demonstrated that self-reported adherence was significantly associated with weight loss; however, three studies found that weight change in adherent PwD was in the direction of the known weight profile (loss/gain) of the evaluated drug. Categorical weight loss (≥3%) and adherence were reported in two studies: one reported that numerically more adherent versus non-adherent PwD lost ≥3% weight regardless of the drug's weight profile, the other showed that early weight loss with a glucagon-like peptide-1 agonist was significantly associated with better adherence. One study reported adherence by categorical weight change; as weight loss increased, adherence scores improved, regardless of drug type.

CONCLUSION

Findings suggest that discontinuation rates may be lower in PwD who lose as compared to those who gain weight on T2D treatment. The evidence base on adherence and weight change is more challenging to interpret due to the range of study designs. Given the importance of weight control in T2D, further research exploring the individual's treatment, weight journey, and behaviors over time should be undertaken.

Prediction of medical expenditures of diagnosed diabetics and the assessment of its related factors using a random forest model, MEPS 2000-2015

OBJECTIVE

To predict the medical expenditures of individual diabetics and assess the related factors of it.

DESIGN AND SETTING

Cross-sectional study.

SETTING AND PARTICIPANTS

Data were collected from the US household component of the medical expenditure panel survey, 2000-2015.

MAIN OUTCOME MEASURE

Random forest (RF) model was performed with the programs of randomForest in R software. Spearman correlation coefficients (rs), mean absolute error (MAE) and mean-related error (MRE) was computed to assess the prediction of all the models.

RESULTS

Total medical expenditure was increased from $105 Billion in 2000 to $318 Billion in 2015. rs, MAE and MRE between the predicted and actual values of medical expenditures in RF model were 0.644, $0.363 and 0.043%. Top one factor in prediction was being treated by the insulin, followed by type of insurance, employment status, age and economical level. The latter four variables had no impact in predicting of medical expenditure by being treated by the insulin. Further, after the sub-analysis of gender and age-groups, the evaluating indicators of prediction were almost identical to each other. Top five variables of total medical expenditure among male were same as those among all the diabetics. Expenses for doctor visits, hospital stay and drugs were also predicted with RF model well. Treatment with insulin was the top one factor of total medical expenditure among female, 18-, 25- and 65-age-groups. Additionally, it indicated that RF model was little superior to traditional regression model.

CONCLUSIONS

RF model could be used in prediction of medical expenditure of diabetics and assessment of its related factors well.

Factors Mediating Type 2 Diabetes Remission and Relapse after Gastric Bypass Surgery

BACKGROUND

Defining factors associated with remission and relapse of type 2 diabetes (T2D) after Roux-en-Y gastric bypass (RYGB) can allow targeting modifiable factors. We investigated factors associated with T2D remission and relapse after RYGB.

STUDY DESIGN

We conducted a retrospective review of consecutive patients with T2D who underwent RYGB between 1993 and 2017. T2D remission was defined as medication discontinuation and/or hemoglobin A1c <6.5%. Relapse was defined as recurrence medication use and/or hemoglobin A1c ≥6.5%. Independent correlates of T2D remission and relapse were identified using logistic regression.

RESULTS

Six hundred and twenty-one patients (aged 46.7 ± 10.6 years; 30% on insulin; BMI 49.8 ± 8.3 kg/m²) had at least 1-year follow-up. Median follow-up was 4.9 years (range 1 to 23.6 years). Prevalence of T2D remission was 74% at 1 year, 73% from 1 to 3 years, 63% between 3 and 10 years, and 47% beyond 10 years. Ninety-three percent of remissions occurred within 3 years of RYGB, 25% relapsed. Median time to relapse was 5.3 years (interquartile range 3 to 7.8 years) after remission. Higher 1-year percentage total body weight loss, lack of preoperative insulin use, and younger age at operation were independently associated with T2D remission. Preoperative insulin use, lower percentage total body weight loss at 1 year, and greater percentage total body weight regain after 1 year were independently associated with T2D relapse.

CONCLUSIONS

This longitudinal retrospective analysis shows that preoperative insulin use and age, 1-year weight loss, and regain after that influence T2D remission and relapse after RYGB. Referring patients at a younger age, before insulin is needed, and optimizing weight loss and preventing weight regain after RYGB can improve the rates and durability of T2D remission.