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Adherence to Oral Antidiabetic Drugs in Patients with Type 2 Diabetes: Systematic Review and Meta-Analysis. J Clin Med 2023; 12:jcm12051981. [PMID: 36902770 PMCID: PMC10004070 DOI: 10.3390/jcm12051981] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Poor adherence to oral antidiabetic drugs (OADs) in patients with type 2 diabetes (T2D) can lead to therapy failure and risk of complications. The aim of this study was to produce an adherence proportion to OADs and estimate the association between good adherence and good glycemic control in patients with T2D. We searched in MEDLINE, Scopus, and CENTRAL databases to find observational studies on therapeutic adherence in OAD users. We calculated the proportion of adherent patients to the total number of participants for each study and pooled study-specific adherence proportions using random effect models with Freeman-Tukey transformation. We also calculated the odds ratio (OR) of having good glycemic control and good adherence and pooled study-specific OR with the generic inverse variance method. A total of 156 studies (10,041,928 patients) were included in the systematic review and meta-analysis. The pooled proportion of adherent patients was 54% (95% confidence interval, CI: 51-58%). We observed a significant association between good glycemic control and good adherence (OR: 1.33; 95% CI: 1.17-1.51). This study demonstrated that adherence to OADs in patients with T2D is sub-optimal. Improving therapeutic adherence through health-promoting programs and prescription of personalized therapies could be an effective strategy to reduce the risk of complications.
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Roberto G, Girardi A, Barone-Adesi F, Pecere A, Ientile V, Bartolini C, Da Cas R, Spila-Alegiani S, Ferrajolo C, Francesconi P, Trifirò G, Poluzzi E, Baccetti F, Gini R. Time to Treatment Intensification in Patients Receiving DPP4 Inhibitors Versus Sulfonylureas as the First Add-On to Metformin Monotherapy: A Retrospective Cohort Study. Front Pharmacol 2022; 13:871052. [PMID: 35707398 PMCID: PMC9189773 DOI: 10.3389/fphar.2022.871052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Abstract
Background: To verify whether, in patients on metformin (MET) monotherapy for type 2 diabetes (T2D), the add-on of a dipeptidyl peptidase inhibitor (DPP4i) compared to a sulfonylurea (SU) can delay the time to the subsequent treatment intensification (TI). Methods: Population-based administrative data banks from four Italian geographic areas were used. Patients aged ≥18 years on MET monotherapy receiving first DPP4i or SU dispensing between 2008 and 2015 (cohort entry) were followed up to the occurrence of TI (insulin dispensing or add-on of a third non-insulin hypoglicemic >180 days after cohort entry), treatment discontinuation, switch, cancer, death, TI occurrence within, end of data availability, end of study period (31 December 2016), whichever came first. Patients on MET + DPP4i were matched 1:1 with those on MET + SU by sex, age, year of cohort entry, and data bank. Hazard Ratio (HR) and 95% confidence intervals (95%CI) were estimated using multivariable Cox regression model including matching variables and potential confounders measured at baseline. Different sensitivity analyses were performed: i) matching at 180 days after cohort entry, ii) intent to treat (ITT) analysis, iii) matching by duration of MET monotherapy, iv) matching by propensity score. Results: The matched study cohort included 10,600 patients. Overall, 763 TI were observed (4.5/100 person-years; mean follow-up = 1.6 years). The primary analysis showed no difference in time to TI between the two groups (HR = 1.02; 95% CI = 0.88–1.19). Sensitivity analyses confirmed this result, except from the ITT analysis (HR = 1.27; 1.13–1.43). Conclusion: The use of a DPP4i rather than a SU as add-on to MET monotherapy was not associated with a delay in treatment intensification.
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Affiliation(s)
- Giuseppe Roberto
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità Della Toscana, Firenze, Italy
- *Correspondence: Giuseppe Roberto,
| | - Anna Girardi
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità Della Toscana, Firenze, Italy
| | - Francesco Barone-Adesi
- Dipartimento di Medicina Traslazionale, Università Del Piemonte Orientale, Novara, Italy
| | - Alessandro Pecere
- Dipartimento di Medicina Traslazionale, Università Del Piemonte Orientale, Novara, Italy
| | - Valentina Ientile
- Dipartimento di Scienze Biomediche, Odontoiatriche e Delle Immagini Morfologiche e Funzionali, Università Degli Studi di Messina, Messina, Italy
| | - Claudia Bartolini
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità Della Toscana, Firenze, Italy
| | - Roberto Da Cas
- Centro Nazionale per la Ricerca e la Valutazione Preclinica e Clinica Dei Farmaci, Istituto Superiore di Sanità, Roma, Italy
| | - Stefania Spila-Alegiani
- Centro Nazionale per la Ricerca e la Valutazione Preclinica e Clinica Dei Farmaci, Istituto Superiore di Sanità, Roma, Italy
| | - Carmen Ferrajolo
- Dipartimento di Medicina Sperimentale, Università Degli Studi Della Campania “L. Vanvitelli” e Centro Regionale di Farmacovigilanza, Regione Campania, Napoli, Italy
| | - Paolo Francesconi
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità Della Toscana, Firenze, Italy
| | - Gianluca Trifirò
- Dipartimento di Scienze Biomediche, Odontoiatriche e Delle Immagini Morfologiche e Funzionali, Università Degli Studi di Messina, Messina, Italy
| | - Elisabetta Poluzzi
- Unità di Farmacologia, Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Fabio Baccetti
- Unità Operativa di Diabetologia Massa-Carrara, USL Toscana Nordovest, Massa, Italy
| | - Rosa Gini
- Osservatorio di Epidemiologia, Agenzia Regionale di Sanità Della Toscana, Firenze, Italy
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Lee DSU, Lee H. Adherence and persistence rates of major antidiabetic medications: a review. Diabetol Metab Syndr 2022; 14:12. [PMID: 35033161 PMCID: PMC8761325 DOI: 10.1186/s13098-022-00785-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/05/2022] [Indexed: 12/15/2022] Open
Abstract
The objective of this paper was to review the adherence and persistence rates of major antidiabetic medication classes (i.e., metformin, sulfonylureas, sodium glucose cotransporter-2 inhibitors, dipeptidyl peptidase-4 inhibitors, insulin, glucagon-like peptide-1 receptor agonists, and thiazolidinediones) by summarizing the major findings of the studies published since 2017. In addition, we reported the potential causes for low adherence and persistence of antidiabetic medications. Based on the literature, the highest rate of adherence and persistence was consistently observed in metformin users. Second to metformin were sodium glucose cotransporter-2 inhibitors. Injectable therapies such as insulin and glucagon-like peptide-1 receptor agonists trailed low on the adherence and persistence rates. To the best of our knowledge, no studies published since the year 2017 analyzed the adherence and persistence of thiazolidinediones independently. The most frequently cited cause for low adherence and persistence was the severity of adverse events. Baseline characteristics (e.g., baseline HbA1c level), demographic information (e.g., age, gender, or ethnicity), and comorbidity profiles also had significant impacts on adherence and persistence in patients with type 2 diabetes mellitus.
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Affiliation(s)
- David Seung U Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea
| | - Howard Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Department of Applied Biomedical Engineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Republic of Korea.
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Advanced Institute of Convergence Technology, Suwon, 16229, South Korea.
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Vlacho B, Mata-Cases M, Mundet-Tudurí X, Vallès-Callol JA, Real J, Farre M, Cos X, Khunti K, Mauricio D, Franch-Nadal J. Analysis of the Adherence and Safety of Second Oral Glucose-Lowering Therapy in Routine Practice From the Mediterranean Area: A Retrospective Cohort Study. Front Endocrinol (Lausanne) 2021; 12:708372. [PMID: 34335477 PMCID: PMC8318034 DOI: 10.3389/fendo.2021.708372] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 06/29/2021] [Indexed: 01/23/2023] Open
Abstract
The aims of our study was compare adherence measured by the medical possession ratio (MPR), time until discontinuation and describe adverse events after adding a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in a primary care population with insufficient glycemic control. We used routinely-collected health data from the SIDIAP database. The included subjects were matched by propensity score. The follow-up period was up to 24 months or premature discontinuation. The primary outcomes were the percentage of subjects with good adherence, treatment discontinuation and adverse events among treatment groups. The proportion of patients with good adherence (MPR> 0.8) after the addition of DPP-4i, SGLT-2i or SU was 53.6%, 68.7%, and 43.0%, respectively. SGLT-2i users were 1.7 times more likely to achieve good adherence compared with DPP-4i users (odds ratio [OR]:1.72, 98% confidence interval [CI]:1.51, 1.96), and 2.8 times more likely compared with SU users (OR: 0.35, 98% CI: 0.07, 0.29). The discontinuation hazard ratios were 1.43 (98%CI: 1.26; 1.62) and 1.60 (98%CI: 1.42; 1.81) times higher among SGLT-2i and SU users than DPP-4i users during the follow-up period. No differences were observed for adverse events among the treatment groups. In conclusion, in our real-world setting, the combination of SGLT-2i with metformin was associated with better adherence. The mean time until discontinuation was longer in the SGLT-2i group in comparison with the DPP-4i or SU groups.
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Affiliation(s)
- Bogdan Vlacho
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Clinical Trials Unit, Germans Trias i Pujol Health Science Research Institute (IGTP), Barcelona, Spain
- Pharmacology Department, Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Spain
| | - Manel Mata-Cases
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Xavier Mundet-Tudurí
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Departament of Medicine, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Joan-Antoni Vallès-Callol
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Jordi Real
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Magi Farre
- Pharmacology Department, Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, Spain
- Clinical Pharmacology Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Xavier Cos
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Primary and Hospital Innovation Department, Innovation Office at Institut Català de la Salut, Barcelona, Spain
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester, United Kingdom
| | - Dídac Mauricio
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Universitari de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Departament of Medicine, University of Vic - Central University of Catalonia, Vic, Spain
| | - Josep Franch-Nadal
- Grup de Recerca Epidemiològica en Diabetis des de l'Atenció Primària (DAP-CAT) Group, Unitat de Suport a la Recerca Barcelona, Fundació Institut Universitari per a la recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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La importancia del punto de corte para considerar buena adherencia en diabetes. Med Clin (Barc) 2020; 155:467-468. [DOI: 10.1016/j.medcli.2019.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Accepted: 07/31/2019] [Indexed: 11/22/2022]
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Nishimura R, Kato H, Kisanuki K, Oh A, Hiroi S, Onishi Y, Guelfucci F, Shimasaki Y. Treatment patterns, persistence and adherence rates in patients with type 2 diabetes mellitus in Japan: a claims-based cohort study. BMJ Open 2019; 9:e025806. [PMID: 30826768 PMCID: PMC6429930 DOI: 10.1136/bmjopen-2018-025806] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE To determine real-world trends in antidiabetic drug use, and persistence and adherence, in Japanese patients with type 2 diabetes mellitus (T2DM). DESIGN Retrospective evaluation of administrative claims data (2011-2015) using the Japan Medical Data Center (JMDC) and Medical Data Vision (MDV) databases. SETTING Analysis of two administrative claims databases for Japanese patients with T2DM. PARTICIPANTS Adults (aged ≥18 years) with an International Classification of Diseases, 10th Revision code of T2DM and at least one antidiabetic drug prescription. MAIN OUTCOME MEASURES Treatment patterns in untreated (UT) or previously treated (PT) patients receiving antidiabetic therapy; persistence with treatment at 12 months; adherence to treatment at 12 months. RESULTS 40 908 and 90 421 patients were included from the JMDC and MDV databases, respectively. The most frequently prescribed therapy at the index (first prescription) date was dipeptidyl peptidase-4 inhibitor (DPP-4i) in UT patients (JMDC: 44.0%, MDV: 54.8%) and combination therapy in PT patients (74.6%, 81.1%). Most common combinations were DPP-4i plus: biguanide (BG; 11.4%, 10.9%), sulfonylurea (SU; 8.4%, 11.0%) or BG+SU (7.8%, 9.1%). In UT or PT patients from either database whose index prescription was for any antidiabetic drug class(es) other than DPP-4i, the most frequent add-on or switch was to DPP-4i. 12-month persistence with index monotherapy was highest with DPP-4i and BG. Adherence was high (≥80%) for all monotherapy schedules, except insulin and glucagon-like peptide-1 agonist, and for the five most frequent two-drug and three-drug combinations. Persistence was greater in elderly UT patients and in those receiving ≤5 medications, but comparatively worse in UT patients with ≥3 index antidiabetic drug classes. CONCLUSIONS The findings indicate that DPP-4i is the most commonly used antidiabetic drug class in Japanese patients with T2DM, and persistence and adherence to this antidiabetic drug class are high.
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Affiliation(s)
| | - Haruka Kato
- Japan Medical Affairs, Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - Koichi Kisanuki
- Japan Medical Affairs, Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - Akinori Oh
- Japan Medical Affairs, Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | - Shinzo Hiroi
- Japan Medical Affairs, Takeda Pharmaceutical Company Limited, Tokyo, Japan
| | | | | | - Yukio Shimasaki
- Japan Medical Affairs, Takeda Pharmaceutical Company Limited, Tokyo, Japan
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