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Predictors of treatment response to liraglutide in type 2 diabetes in a real-world setting

Simioni, N. ; Berra, C. ; Boemi, M. ; Bossi, A. C. ; Candido, R. ; Di Cianni, G. ; Frontoni, S. ; Genovese, S. ; Ponzani, P. ; Provenzano, V. ; Russo, G. T. ; Sciangula, L. ; Lapolla, A. ; Bette, C. ; Rossi, M. C.

Acta diabetologica, 2018-06, Vol.55 (6), p.557-568 [Periódico revisado por pares]

Milan: Springer Milan

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Título:
Predictors of treatment response to liraglutide in type 2 diabetes in a real-world setting
Autor: Simioni, N. ; Berra, C. ; Boemi, M. ; Bossi, A. C. ; Candido, R. ; Di Cianni, G. ; Frontoni, S. ; Genovese, S. ; Ponzani, P. ; Provenzano, V. ; Russo, G. T. ; Sciangula, L. ; Lapolla, A. ; Bette, C. ; Rossi, M. C.
Assuntos: Aged ; Biomarkers - analysis ; Blood Glucose - analysis ; Clinical outcomes ; Databases, Factual ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Diabetes Mellitus, Type 2 - diagnosis ; Diabetes Mellitus, Type 2 - drug therapy ; Diabetes Mellitus, Type 2 - epidemiology ; Drug therapy ; Electronic Health Records - statistics & numerical data ; Female ; Glycated Hemoglobin - analysis ; Hemoglobin ; Humans ; Hypoglycemic Agents - therapeutic use ; Internal Medicine ; Italy - epidemiology ; Liraglutide - therapeutic use ; Longitudinal Studies ; Male ; Medical prognosis ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Original ; Original Article ; Patients ; Prognosis ; Regression analysis ; Retrospective Studies ; Treatment Outcome ; Weight Loss - drug effects
É parte de: Acta diabetologica, 2018-06, Vol.55 (6), p.557-568
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Managed by Massimo Porta.
Descrição: Aims There is an unmet need among healthcare providers to identify subgroups of patients with type 2 diabetes who are most likely to respond to treatment. Methods Data were taken from electronic medical records of participants of an observational, retrospective study in Italy. We used logistic regression models to assess the odds of achieving glycated haemoglobin (HbA 1c ) reduction ≥ 1.0% point after 12-month treatment with liraglutide (primary endpoint), according to various patient-related factors. RECursive Partitioning and AMalgamation (RECPAM) analysis was used to identify distinct homogeneous patient subgroups with different odds of achieving the primary endpoint. Results Data from 1325 patients were included, of which 577 (43.5%) achieved HbA 1c reduction ≥ 1.0% point (10.9 mmol/mol) after 12 months. Logistic regression showed that for each additional 1% HbA 1c at baseline, the odds of reaching this endpoint were increased 3.5 times (95% CI: 2.90–4.32). By use of RECPAM analysis, five distinct responder subgroups were identified, with baseline HbA 1c and diabetes duration as the two splitting variables. Patients in the most poorly controlled subgroup (RECPAM Class 1, mean baseline HbA 1c > 9.1% [76 mmol/mol]) had a 28-fold higher odds of reaching the endpoint versus patients in the best-controlled group (mean baseline HbA 1c ≤ 7.5% [58 mmol/mol]). Mean HbA 1c reduction from baseline was as large as − 2.2% (24 mol/mol) in the former versus − 0.1% (1.1 mmol/mol) in the latter. Mean weight reduction ranged from 2.5 to 4.3 kg across RECPAM subgroups. Conclusions Glycaemic response to liraglutide is largely driven by baseline HbA 1c levels and, to a lesser extent, by diabetes duration.
Editor: Milan: Springer Milan
Idioma: Inglês

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Predictors of treatment response to liraglutide in type 2 diabetes in a real-world setting

Simioni, N. ; Berra, C. ; Boemi, M. ; Bossi, A. C. ; Candido, R. ; Di Cianni, G. ; Frontoni, S. ; Genovese, S. ; Ponzani, P. ; Provenzano, V. ; Russo, G. T. ; Sciangula, L. ; Lapolla, A. ; Bette, C. ; Rossi, M. C.

Milan: Springer Milan

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