Diabetic kidney disesase

Prevalence of insulin as a first-line therapy and associated factors in people with type 2 diabetes in German primary care practices

AIM

To evaluate how many people with type 2 diabetes receive a treatment regimen with insulin as a first-line therapy and the factors associated with this.

METHODS

This retrospective study was based on data from the Disease Analyzer database and included 10 497 people with type 2 diabetes with an initial prescription of anti-hyperglycaemic therapy from 859 general and diabetologist practices in Germany between January 2014 and December 2018. The main outcome of the study was the prevalence of insulin as a first-line therapy. A multivariable logistic regression model was performed to investigate the association between predefined variables and the probability of receiving insulin as a first-line therapy.

RESULTS

A total of 7.1% of participants received insulin as a first-line therapy. Diabetologist practice [odds ratio (OR) 2.71, 95% confidence interval (CI) 1.81-4.06], age > 80 years (OR 2.35, 95% CI 1.20-4.61) compared with age ≤ 40 years, HbA_1c ≥ 86 mmol/mol (10%) (OR 2.99, 95% CI 1.81-4.95) compared with HbA_1c < 48 mmol/mol (6.5%), renal complications (OR 1.91, 95% CI 1.29-2.81), peripheral artery disease (OR 1.94, 95% CI 1.30-2.81), neurological complications (OR 1.45, 95% CI 1.00-2.09), Charlson Comorbidity Index (OR 1.16, 95% CI 1.08-1.25) and higher number of different drugs prescribed within 12 months prior-the index date (OR 1.09, 95% CI 1.05-1.12) were significantly associated with the probability of receiving insulin as a first-line therapy.

CONCLUSION

Insulin is rarely used as a first-line therapy in people with type 2 diabetes. Furthermore, a person's likelihood of receiving insulin as a first-line therapy is significantly influenced by diabetologist practice, age, HbA_1c ≥ 86 mmol/mol (10%), renal, neurological and vascular complications, higher multimorbidity, and polypharmacy.

Prevalence of moderately increased albuminuria among individuals with normal HbA1c level but impaired glucose tolerance: Results from the LIFE-Adult-Study

AIMS

Diabetes screening strategies using glycated haemoglobin (HbA1c) as first-instance diagnostic parameter may cause failure to detect individuals with abnormal glucose regulation and possible signs of microvascular complications despite "rule-out" HbA1c levels. This cross-sectional study examined the diagnostic performance of HbA1c in relation to fasting and two-hour postload plasma glucose (FPG/2 h-PG), and investigated whether individuals with normal HbA1c but abnormal FPG/2 h-PG have a higher prevalence of moderately increased albuminuria as possible sign of early stage kidney damage.

METHODS

A total of 2695 individuals (age 40-79 years, 48% men) without prior diagnosis of diabetes and complete measurement of HbA1c, FPG, 2 h-PG and urine albumin-creatinine ratio (UACR) were taken from a large population-based epidemiological study in the City of Leipzig, Germany.

RESULTS

A total of 2439 individuals (90.5%, 95% CI: 89.4-91.6) had normal HbA1c levels, <39 mmol/mol (<5.7%), while 234 (8.7%, 95% CI: 7.7-9.8) had prediabetes, HbA1c ≥39 and <48 mmol/mol (≥5.7 and <6.5%), and 22 (0.8%, 95% CI: 0.5-1.2) had diabetes, HbA1c ≥48 mmol/mol (≥6.5%), according to HbA1c. Among individuals with normal HbA1c, 35.6% (95% CI: 33.7-37.5) had impaired fasting glucose or impaired glucose tolerance and 1.8% (95% CI: 1.4-2.4) had diabetes according to FPG/2 h-PG. Individuals with normal HbA1c but prediabetic or diabetic FPG/2 h-PG had a significantly higher prevalence of moderately increased albuminuria (9.4%, 95% CI: 7.6-11.5 and 13.3%, 95% CI: 5.8-25.4, respectively) than individuals with normal HbA1c and normal FPG/2 h-PG (3.9%, 95% CI: 3.0-5.0).

CONCLUSIONS

The prevalence of prediabetes according to FPG/2 h-PG among individuals with normal HbA1c is considerably high, and the prevalence of moderately increased albuminuria in this group is significantly elevated. Risk factors for diabetes such as age, gender and BMI may help to better identify this at-risk group.