Identifying diabetes cases in health administrative databases: a validation study based on a large French cohort

Fuentes, Sonsoles; Cosson, E.; Mandereau-Bruno, L.; Fagot-Campagna, A.; Bernillon, Pascale; Goldberg, Marcel; Fosse-Edorh, Sandrine

doi:10.1007/s00038-018-1186-3

Cited by 44 publications

(31 citation statements)

References 33 publications

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“…However, GLM use was required to be enrolled into the study cohort, and we believe that this inclusion criterion limited the chance of misclassification. 26,27 Fourth, this study did not examine the incidence of the initiation of chronic dialysis and renal death, given the Japanese situation and the nature of the database. In Japan, the introduction and maintenance of chronic dialysis are often performed in private, specialist dialysis clinics; in such cases, follow-up was often terminated in RWD institutions.…”

Section: Discussionmentioning

confidence: 99%

Comparative Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors Versus Other Classes of Glucose-Lowering Medications on Renal Outcome in Type 2 Diabetes

Takeuchi

Ogura

Minoura

et al. 2020

Mayo Clinic Proceedings

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Objective: To assess whether sodium-glucose cotransporter-2 inhibitor (SGLT2i) therapy is associated with a favorable renal prognosis for patients with type 2 diabetes melllitus (T2DM) outside the clinical trials setting. Participants and Methods: This retrospective study analyzed routinely collected health care records of w160 medical institutions in Japan from April 1, 2014, to December 31, 2017/2018 (varying at the institutional level). Adults with T2DM but without end-stage renal disease who initiated either SGLT2i or other classes of glucose-lowering medications (o-GLM) were matched using propensity score. The primary outcome was the time course of estimated glomerular filtration rate (eGFR) displayed in spline curve. The composite of renal worsening (>40% decline in eGFR) and the development of eGFR<30 mL/1.73 m 2 per minute was evaluated as a secondary outcome. Two sensitivity analyses were conducted to determine the robustness of results. Results: We compared a matched cohort of 1433 SGLT2i users and 2739 o-GLM users (mean age: 61 years). The eGFR declined over time in both groups during the observation period (median: 17 months; maximum: 54 months), with a slower eGFR slope observed in SGLT2i users. This slower decline was consistently observed across different SGLT2i agents and different baseline eGFR groups. The cumulative incidence of composite renal endpoints was lower in the SGLT2i group with a hazard ratio of 0.70 (95% CI, 0.50-0.98; P¼.039). Those findings were consistent in sensitivity analyses limited to the period adherent to the initial drug regimen and with a different approach for propensity score calculation. Conclusion: In a matched cohort of T2DM patients, SGLT2i use was associated with preserved renal function relative to o-GLM use over 2 to 4 years.

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Section: Discussionmentioning

confidence: 99%

Comparative Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors Versus Other Classes of Glucose-Lowering Medications on Renal Outcome in Type 2 Diabetes

Takeuchi

Ogura

Minoura

et al. 2020

Mayo Clinic Proceedings

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“…A systematic review has shown that data linkage is used in the field of perinatal health for both health surveillance and research purposes in European countries [8]. Several other studies have shown that linkage is used to explore various dynamics of population health such as social care, psychotic disorders, multi-morbidity, diabetes, obesity, mental health, cardiovascular, antibiotic use and Alzheimer using data linkage with different types of administrative data sources (both related to health and non-health) [7,[18][19][20][21][22][23][24][25][26][27][28][29][30]. For the surveillance of cancer, data linkage not only provides the opportunity to improve the population-based screening [31] but it also helps to detect different types of cancer recurrence [32] and to evaluate the socio-economic status of patients with cancer (e.g., return to work) [33].…”

Section: Discussionmentioning

confidence: 99%

Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

et al. 2020

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Background: The availability of data generated from different sources is increasing with the possibility to link these data sources with each other. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the current use of data linkage at the individual level and artificial intelligence (AI) in routine public health activities, to identify the related estimated health indicators (i.e., outcome and intervention indicators) and health determinants of noncommunicable diseases and the obstacles to linking different data sources. Method: We performed a survey across European countries to explore the current practices applied by national institutes of public health, health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or AI). Results: The use of data linkage and AI at national institutes of public health, health information and statistics in Europe varies. The majority of European countries use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes. The use of AI to estimate health indicators is not frequent at national institutes of public health, health information and statistics. Using linked data, 46 health outcome indicators, 34 health determinants and 23 health intervention indicators were estimated in routine. The complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as obstacles to routine data linkage for public health surveillance and research.

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“…Strengths of our study include a large sample size, the prospective design of the E3N cohort, and the collection of numerous hormonal and traditional factors. We analyzed validated incident type 2 diabetes cases only, based on a well‐defined validation algorithm 20 that reduces the risk of missing and false positive cases. Some residual misclassification with respect to diabetes status may exist, but it is likely to be nondifferential.…”

Section: Discussionmentioning

confidence: 99%

“…Type 2 diabetes cases were identified using a validated algorithm that has been previously detailed; it is based on self‐report of diabetes and the reimbursement of diabetes‐specific drugs 20‐23 . The mean time to onset of diabetes was 15 years.…”

Section: Methodsmentioning

confidence: 99%

Gonadal hormonal factors before menopause and incident type 2 diabetes in women: A 22‐year follow‐up of 83 799 women from the E3N cohort study

Tatulashvili

Gusto

Cosson

et al. 2020

Journal of Diabetes

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Background In many populations the incidence of type 2 diabetes is higher in men than in women. This may be explained by exposure to female gonadal hormones, but so far, there is no consensus on their role over the life course in type 2 diabetes etiology. Methods Data are from 83 799 French women from the E3N (Etude Épidémiologique de Femmes de la Mutuelle Générale de l'Education Nationale) cohort study, followed for 22 years. Multivariable Cox models including classical risk factors were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) between gonadal hormonal factors and incident type 2 diabetes. Results Older age at menarche, more menstrual cycles, older age at menopause, longer duration of exposure to gonadal hormones and breastfeeding were inversely associated with incident type 2 diabetes cases (n = 4806). While a longer duration of menstrual cycles (HR = 1.23 [95% CI: 1.07‐1.41] comparing ≥32 vs ≤24 days) and use of contraceptive pills (HR = 1.33 [1.25‐1.42]) were associated with a greater risk of type 2 diabetes. Conclusions In women, a longer exposure to endogenous gonadal hormones with a later menopause as well as breastfeeding were associated with a lower risk of developing type 2 diabetes, independently of classical diabetes risk factors. In contrast, the use of contraceptive agents was associated with incident diabetes, but the influence of each type of contraception and of exposure duration remain to be investigated.

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Identifying diabetes cases in health administrative databases: a validation study based on a large French cohort

Cited by 44 publications

References 33 publications

Comparative Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors Versus Other Classes of Glucose-Lowering Medications on Renal Outcome in Type 2 Diabetes

Comparative Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitors Versus Other Classes of Glucose-Lowering Medications on Renal Outcome in Type 2 Diabetes

Innovative use of data sources: a cross-sectional study of data linkage and artificial intelligence practices across European countries

Gonadal hormonal factors before menopause and incident type 2 diabetes in women: A 22‐year follow‐up of 83 799 women from the E3N cohort study

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