Predictors of Treatment Response to Liraglutide in Type 2 Diabetes in a Real‑World Setting
Total Page:16
File Type:pdf, Size:1020Kb
Acta Diabetologica https://doi.org/10.1007/s00592-018-1124-0 ORIGINAL ARTICLE Predictors of treatment response to liraglutide in type 2 diabetes in a real‑world setting N. Simioni1 · C. Berra2 · M. Boemi3 · A. C. Bossi4 · R. Candido5 · G. Di Cianni6 · S. Frontoni7 · S. Genovese8 · P. Ponzani9 · V. Provenzano10 · G. T. Russo11 · L. Sciangula12 · A. Lapolla13 · C. Bette14 · M. C. Rossi15 · ReaL (NN2211-4118) Study Group* Received: 10 January 2018 / Accepted: 28 February 2018 © The Author(s) 2018. This article is an open access publication 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 Parti- tioning and AMalgamation (RECPAM) analysis was used to identify distinct homogeneous patient subgroups with diferent 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% 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, fve distinct responder subgroups were identifed, with baseline HbA1c and diabetes duration as the two splitting variables. Patients in the most poorly con- trolled 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. Keywords Liraglutide · Type 2 diabetes · Response to therapy · RECPAM analysis · GLP-1RA Managed by Massimo Porta. M. Boemi: Deceased. * M. C. Rossi 9 Ospedale La Colletta, ASL3 Genovese, Arenzano, Italy [email protected] 10 Centro Regionale di Riferimento Diabetologia ed Impianto Microinfusori Sicilia, Partinico, Palermo, Italy 1 Presidio Ospedaliero di Cittadella, Cittadella, Padua, Italy 11 University of Messina, Messina, Italy 2 Humanitas Research Hospital, Rozzano, MI, Italy 12 IRCCS Multimedica - Ospedale di Castellanza, Varese, Italy 3 IRCCS INRCA, Ancona, Italy 13 University of Padua, Padua, Italy 4 ASST Bergamo Ovest, Treviglio, BG, Italy 14 Novo Nordisk Spa, Rome, Italy 5 Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy 15 CORESEARCH – Center for Outcomes Research and Clinical Epidemiology, Via Tiziano Vecellio, 2, 6 Ospedale di Livorno, Livorno, Italy 65124 Pescara, Italy 7 University of Rome Tor Vergata, Rome, Italy 8 IRCCS Centro Cardiologico Monzino, Milan, Italy Vol.:(0123456789)1 3 Acta Diabetologica Introduction Pharmacoepidemiology Practices (ICH-GPP Revision 2, April, 2007). A written informed consent, approved Liraglutide is a once-daily human glucagon-like pep- by an independent ethics committee, was signed by all tide-1 (GLP-1) analogue available for the treatment of patients before data collection. Data on a range of key type 2 diabetes (T2D), and its efcacy and safety have clinical variables were obtained from electronic medical been demonstrated in the Liraglutide Efect and Action records. Information on fasting plasma glucose (FPG), in Diabetes (LEAD) study programme [1–7]. Liraglutide body weight, body mass index (BMI), diabetes duration, has also cardioprotective benefts in patients with T2D at presence of diabetes complications, liraglutide treatment, increased risk of cardiovascular disease [8]. Liraglutide and treatment with other oral antidiabetic drugs (OADs) was approved in the EU in 2009, and data from real-world was extracted at the date of the frst liraglutide prescription observational studies have further demonstrated that the at baseline in 2011 and after 12 months. The frequency benefts of liraglutide on glycated haemoglobin (HbA1c) of patients achieving HbA1c reduction ≥ 1% (10.9 mmol/ and body weight loss were consistent with those obtained mol) after 12 months’ treatment (primary endpoint) was in the randomised LEAD trials [9]. Long-term studies calculated. This primary endpoint was selected because it indicated that the benefts were sustained for up to 3 years represents a mean efect seen in randomised clinical trials [10, 11]. of liraglutide and is a strong indicator of efectiveness that Liraglutide has been demonstrated to have benefits is meaningful to both patients and clinicians. It is also in across a diverse spectrum of patients with T2D, but the line with the trend in clinical care to individualise spe- extent of HbA 1c improvement difers within patient groups cifc HbA1c targets. Information on side efects and adverse having diferent demographics and clinical characteristics events was not explored, since it was not available in the [12]. Thus, there is an unmet need to identify subgroups electronic medical records in a standardised format. of patients with T2D receiving liraglutide who are most likely to have the greatest response to treatment. This information would help healthcare providers individu- Statistical analysis alise treatment options and assess cost benefts. Patients and healthcare professionals could beneft from a more Results are expressed as mean and standard deviation (SD) detailed understanding of factors associated with improved for continuous variables, and proportion and percentages for response to liraglutide. categorical measures, respectively. Between-group patient The ReaL study (ClinicalTrials.gov identifier: characteristics were compared with a Mann–Whitney U test NCT02255266) was the largest observational study of lira- or Student’s t test (as appropriate) for continuous variables, glutide in Italian clinical practice, showing that 43.5% of or a Chi-square test for categorical variables. Univariate patients achieved HbA 1c reduction ≥ 1% (10.9 mmol/mol) logistic regression was used to identify baseline character- after 12 months of treatment (primary endpoint). This istics of patients who achieved the primary endpoint (HbA 1c manuscript reports fndings from a secondary analysis per- reduction ≥ 1.0% [10.9 mmol/mol] at 12 months), compared formed to identify subgroups or classes of patients with with those who did not. T2D who were more likely to have an improved response Multivariate logistic regression analysis was performed to liraglutide owing to specifc combinations of clinical to identify independent factors associated with the end- and socio-demographic characteristics. point after adjustment for other variables. Covariates included in the multivariate analysis were age, sex, dia- betes duration, baseline HbA 1c, FPG, BMI, presence of diabetes complications, treatment at the first prescription Materials and methods of liraglutide (baseline), treatment modality, liraglutide dose, hypertension, dyslipidaemia, and estimated glomer- ReaL was an observational, retrospective, longitudinal, ular filtration rate (eGFR) levels. Standardised criteria multicentre study involving 45 Italian diabetes clinics which were used for diagnosis of hypertension were not throughout the country. The design and methods of this established a priori for this study. Data were collected real-world study have been previously reported [13]. from electronic medical records, but in the Italian national Briefy, all consecutive patients aged ≥ 18 years diag- guidelines, hypertension and dyslipidaemia cut-offs are nosed with T2D and receiving their frst prescription of blood pressure (BP) values ≥ 140/90 mmHg and low-den- liraglutide in 2011 were eligible for the study. This study sity lipoprotein (LDL)-cholesterol ≥ 100 mg/dl, respec- was conducted in accordance with the Declaration of tively. Covariates used in the multivariate analysis were Helsinki (last amended by 59th WMA General Assem- chosen based on clinical judgment and did not depend on bly, Seoul, October 2013) and the Guidelines for Good reaching statistical significance in the univariate analysis. 1 3 Acta Diabetologica Results are shown as odds ratios (ORs) and 95% confi- By 12 months (primary endpoint analysis), a total of dence intervals (CI). 194/1723 (11.2%) patients had discontinued liraglutide RECursive Partitioning and AMalgamation (RECPAM) treatment. For those with a known reason (n = 166), most analysis, a tree-based statistical method that integrates (n = 75/166) were owing to lack of efectiveness. An addi- standard regression and tree-growing techniques, was used tional 35 discontinued due to liraglutide intolerance, 28 to detect potential interactions among the diferent variables owing to gastrointestinal side efects, and 20 discontinued in predicting reduction of at least 1% in HbA 1c and iden- for other reasons. A total of 19 patients were non-adherent tify homogeneous and distinct subgroups of patients with to therapy. At 12 months, there were 1325 (76.9%) patients increased likelihood of reaching the endpoint [14]. In dia- with HbA1c