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Predictors of treatment response to liraglutide in type 2 diabetes in a real-world setting.
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- Author(s): Simioni N;Simioni N; Berra C; Berra C; Boemi M; Boemi M; Bossi AC; Bossi AC; Candido R; Candido R; Di Cianni G; Di Cianni G; Frontoni S; Frontoni S; Genovese S; Genovese S; Ponzani P; Ponzani P; Provenzano V; Provenzano V; Russo GT; Russo GT; Sciangula L; Sciangula L; Lapolla A; Lapolla A; Bette C; Bette C; Rossi MC; Rossi MC
- Source:
Acta diabetologica [Acta Diabetol] 2018 Jun; Vol. 55 (6), pp. 557-568. Date of Electronic Publication: 2018 Mar 12.- Publication Type:
Journal Article; Multicenter Study; Observational Study- Language:
English - Source:
- Additional Information
- Corporate Authors:
- Source: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9200299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-5233 (Electronic) Linking ISSN: 09405429 NLM ISO Abbreviation: Acta Diabetol Subsets: MEDLINE
- Publication Information: Publication: Berlin : Springer Verlag
Original Publication: Berlin : Springer International, c1991- - Subject Terms: Biomarkers/*analysis ; Diabetes Mellitus, Type 2/*drug therapy ; Hypoglycemic Agents/*therapeutic use ; Liraglutide/*therapeutic use; Aged ; Blood Glucose/analysis ; Databases, Factual ; Diabetes Mellitus, Type 2/blood ; Diabetes Mellitus, Type 2/diagnosis ; Diabetes Mellitus, Type 2/epidemiology ; Electronic Health Records/statistics & numerical data ; Female ; Glycated Hemoglobin/analysis ; Humans ; Italy/epidemiology ; Longitudinal Studies ; Male ; Middle Aged ; Prognosis ; Retrospective Studies ; Treatment Outcome ; Weight Loss/drug effects
- Abstract: 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 (HbA1c ) 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 HbA1c reduction ≥ 1.0% point (10.9 mmol/mol) after 12 months. Logistic regression showed that for each additional 1% HbA1c 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 HbA1c and diabetes duration as the two splitting variables. Patients in the most poorly controlled subgroup (RECPAM Class 1, mean baseline HbA1c > 9.1% [76 mmol/mol]) had a 28-fold higher odds of reaching the endpoint versus patients in the best-controlled group (mean baseline HbA1c ≤ 7.5% [58 mmol/mol]). Mean HbA1c 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 HbA1c levels and, to a lesser extent, by diabetes duration. - References: J Diabetes Investig. 2012 Jun 6;3(3):294-7. (PMID: 24843579)
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Diabetes Res Clin Pract. 2014 Dec;106(3):451-7. (PMID: 25458335) - Contributed Indexing: Investigator: N Simioni; C Berra; M Boemi; AC Bossi; R Candido; G Di Cianni; S Frontoni; S Genovese; P Ponzani; V Provenzano; G Russo; L Sciangula; A Lapolla; C Bette; MC Rossi
Keywords: GLP-1RA; Liraglutide; RECPAM analysis; Response to therapy; Type 2 diabetes - Accession Number: 0 (Biomarkers)
0 (Blood Glucose)
0 (Glycated Hemoglobin A)
0 (Hypoglycemic Agents)
839I73S42A (Liraglutide) - Publication Date: Date Created: 20180313 Date Completed: 20180717 Latest Revision: 20240325
- Publication Date: 20240325
- Accession Number: PMC5959971
- Accession Number: 10.1007/s00592-018-1124-0
- Accession Number: 29527621
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