1
|
Bellanca CM, Augello E, Di Benedetto G, Burgaletto C, Cantone AF, Cantarella G, Bernardini R, Polosa R. A web-based scoping review assessing the influence of smoking and smoking cessation on antidiabetic drug meabolism: implications for medication efficacy. Front Pharmacol 2024; 15:1406860. [PMID: 38957391 PMCID: PMC11217182 DOI: 10.3389/fphar.2024.1406860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 05/20/2024] [Indexed: 07/04/2024] Open
Abstract
Currently 1.3 billion individuals globally engage in smoking, leading to significant morbidity and mortality, particularly among diabetic patients. There is urgent need for a better understanding of how smoking influences antidiabetic treatment efficacy. The review underscores the role of cigarette smoke, particularly polycyclic aromatic hydrocarbons (PAHs), in modulating the metabolic pathways of antidiabetic drugs, primarily through the induction of cytochrome P450 (CYP450) enzymes and uridine diphosphate (UDP)-glucuronosyltransferases (UGTs), thus impacting drug pharmacokinetics and therapeutic outcomes. Furthermore, the review addresses the relatively uncharted territory of how smoking cessation influences diabetes treatment, noting that cessation can lead to significant changes in drug metabolism, necessitating dosage adjustments. Special attention is given to the interaction between smoking cessation aids and antidiabetic medications, a critical area for patient safety and effective diabetes management. This scoping review aims to provide healthcare professionals with the knowledge to better support diabetic patients who smoke or are attempting to quit, ensuring tailored and effective treatment strategies. It also identifies gaps in current research, advocating for more studies to fill these voids, thereby enhancing patient care and treatment outcomes for this at-risk population.
Collapse
Affiliation(s)
- Carlo Maria Bellanca
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
- Clinical Toxicology Unit, University Hospital of Catania, Catania, Italy
| | - Egle Augello
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
- Clinical Toxicology Unit, University Hospital of Catania, Catania, Italy
| | - Giulia Di Benedetto
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
- Clinical Toxicology Unit, University Hospital of Catania, Catania, Italy
| | - Chiara Burgaletto
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Anna Flavia Cantone
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Giuseppina Cantarella
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
| | - Renato Bernardini
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy
- Clinical Toxicology Unit, University Hospital of Catania, Catania, Italy
| | - Riccardo Polosa
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
- Centre of Excellence for the Acceleration of HArm Reduction (CoEHAR), University of Catania, Catania, Italy
- Centre for the Prevention and Treatment of Tobacco Addiction (CPCT), University Hospital of Catania, Catania, Italy
| |
Collapse
|
2
|
Niaz D, Necyk C, Simpson SH. Association Between Antidepressant Use and Adherence to Antihyperglycemic Medications in Adults With Type 2 Diabetes and Depression: A Retrospective Cohort Study. Can J Diabetes 2022; 46:655-661. [PMID: 35927170 DOI: 10.1016/j.jcjd.2022.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 02/22/2022] [Accepted: 03/23/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Depression is a known risk factor for poor medication adherence, but it is unclear whether depression treatment affects adherence rates. In this study, we examined the association between pharmacologic treatment of a new depressive episode and subsequent adherence to oral antihyperglycemic medications. METHODS In this retrospective cohort study, we used administrative health data to follow adult new metformin users in Alberta, Canada, between 2008 and 2018. Depressive episodes starting ≥1 year after metformin initiation were identified and individuals starting antidepressant treatment within the first 90 days were compared with those who did not. The proportion of days covered (PDC) with oral antihyperglycemic medications in the subsequent year (days 91 to 455) was used to estimate adherence. The association between antidepressant treatment and poor adherence (PDC<0.8) was examined using multivariate logistic regression models. RESULTS A new depressive episode occurred in 6,201 people, with a mean age of 56.0 (standard deviation [SD], 15.4) years. Of this cohort, 3,303 (53.2%) were women. Mean PDC was 0.55 (SD, 0.41); 924 (57.0%) of 1,621 people who started antidepressant treatment and 2,709 (59.2%) of 4,580 controls had poor adherence (p=0.13). After adjusting for baseline comorbidities and other characteristics, antidepressant treatment was associated with a lower likelihood of poor adherence (adjusted odds ratio, 0.85; 95% confidence interval, 0.75 to 0.96; p=0.007). CONCLUSIONS Although overall adherence to antihyperglycemic medications was low after onset of a depressive episode, antidepressant treatment was associated with a lower likelihood of poor adherence.
Collapse
Affiliation(s)
- Diva Niaz
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Candace Necyk
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
| | - Scot H Simpson
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada; Alberta Diabetes Institute, University of Alberta, Li Ka Shing Centre for Health Research Innovation, Edmonton, Alberta, Canada.
| |
Collapse
|
3
|
Visual/anatomical outcome of diabetic macular edema patients lost to follow-up for more than 1 year. Sci Rep 2021; 11:18353. [PMID: 34526548 PMCID: PMC8443734 DOI: 10.1038/s41598-021-97644-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 08/23/2021] [Indexed: 12/22/2022] Open
Abstract
To investigate the visual/anatomical outcome of diabetic macular edema (DME) patients lost to follow-up (LTFU) for more than 1 year during intravitreal anti-VEGF treatment. A retrospective review of 182 treatment-naïve DME patients was performed. Among them, we identified patients LTFU for more than 1 year during anti-VEGF treatment. Visual acuity and anatomic outcomes at the first visit, last visit before being LTFU, return visit, and after re-treatment were analyzed and compared with those of DME patients with regular follow-up. Patients who had continuous follow-up visits were assigned to the control group. Sixty patients (33%) with DME were LTFU for more than 1 year during anti-VEGF treatment. Multivariate analysis revealed that the ratio of male (p = 0.004), diabetes mellitus (DM) duration less than 5 years (p = 0.015), and poor early anatomic response (p = 0.012) were higher compared to the control group. Eighteen patients returned to the clinic and received re-treatment. After re-treatment with anti-VEGF, central subfield thickness (CST) was significantly improved to the CST of before LTFU. However, visual acuity did not recover to the level before LTFU (0.63 ± 0.26 vs. 0.45 ± 0.28, p = 0.003). About thirty percent of DME patients were LTFU for more than 1 year. Permanent visual loss was observed in these LTFU patients. Patients with a high risk of LTFU such as male, early DM, and poor response after initial injections should be treated more aggressively to improve the visual outcomes.
Collapse
|
4
|
Niaz D, Necyk C, Simpson SH. Depression and antecedent medication adherence in a cohort of new metformin users. Diabet Med 2021; 38:e14426. [PMID: 33064895 DOI: 10.1111/dme.14426] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 10/06/2020] [Accepted: 10/12/2020] [Indexed: 11/29/2022]
Abstract
AIMS The association between depression and poor medication adherence is based on cross-sectional studies and cohort studies that measure adherence rates after depression status is determined. However, depressive symptoms occur well before diagnosis. This study examined adherence patterns in the year before a depressive episode. METHODS This retrospective cohort study followed new metformin users identified in Alberta Health's administrative data between 2008 and 2018. Depressive episodes starting ≥1 year after metformin initiation were identified using a validated case definition. Controls were randomly assigned a pseudo depression date. Adherence to oral antihyperglycemic medications was estimated using proportion of days covered (PDC) and group-based trajectory models to explore the association between depression and poor adherence (PDC<0.8). RESULTS A depressive episode occurred in 17,418 (10.6%) of 165,056 new metformin users. Individuals with depression were more likely to have poor adherence compared to controls (adjusted odds ratio 1.21; 95% CI 1.17, 1.26). Five trajectories were identified: nearly perfect adherence (PDC >0.95 [34.8% of cohort]), discontinued (PDC=0 [18.3% of cohort], poor initial adherence (PDC 0.75) that declined either rapidly (9.2% of cohort) or gradually (30.1% of cohort), and poor initial adherence (PDC 0.26) that increased gradually (7.6% of cohort). Individuals with depression were more likely to be in one of the four trajectories of poor adherence compared to controls (adjusted odds ratio 1.24; 95% CI 1.19-1.29). CONCLUSIONS Poor medication adherence occurs in the year before a depressive episode; therefore, poor medication use patterns could be used as an early warning sign for depression.
Collapse
Affiliation(s)
- Diva Niaz
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, T6G 2H7, Canada
| | - Candace Necyk
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, T6G 2H7, Canada
| | - Scot H Simpson
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, T6G 2H7, Canada
- Alberta Diabetes Institute, University of Alberta, 1-005 Li Ka Shing Centre for Health Research Innovation, Edmonton, Alberta, T6G 2E1, Canada
| |
Collapse
|
5
|
AlRuthia Y, Alwhaibi M, Almalag H, Almosabhi L, Almuhaya M, Sales I, Albassam AA, Alharbi FA, Mansy W, Bashatah AS, Asiri Y. The relationship between trust in primary healthcare providers among patients with diabetes and levels of depression and anxiety. PLoS One 2020; 15:e0239035. [PMID: 32915906 PMCID: PMC7485844 DOI: 10.1371/journal.pone.0239035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 08/30/2020] [Indexed: 01/14/2023] Open
Abstract
Background Trust in healthcare providers has been shown to improve several clinical and patient-reported outcomes. However, its relationship with depression and anxiety has not been investigated among patients with chronic health conditions, such as diabetes. Therefore, the aim of this study was to examine whether trust in primary care physicians among patients with diabetes is associated with their levels of depression and/or anxiety. Method Adult patients (≥18 years) with a diagnosis of diabetes, confirmed through their electronic health records, were recruited and interviewed from the primary care clinics of three public hospitals. Patient trust in primary care physicians was assessed using the Health Care Relationship (HCR) Trust scale. Depression and anxiety were assessed using the Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7-item (GAD-7), respectively. Two multiple linear regression analyses were conducted to examine the association of HCR-Trust scores with PHQ-9 and GAD-7 scores controlling for age, sex, Charlson comorbidity index score, education, health literacy, annual income, nationality, duration of illness, and research site. Results The number of patients who agreed to be interviewed was 367. Most of the participants were female (61.54%) and Saudi (92.86%). High HCR-Trust scores were negatively associated with PHQ-9 scores (β = -0.18; 95% CI: -0.23 –-0.13; P = < .0001), and GAD-7 scores (β = -0.17; 95% CI: -0.22– -0.12; P = < .0001). Conclusions Trust in primary care physicians among patients with diabetes was associated with lower levels of depression and anxiety. Therefore, healthcare providers should adopt a patient-centered care approach that fosters trust in the relationship between their patients and themselves. Further research should explore whether interventions that foster shared decision-making and trust in healthcare providers might also improve the health outcomes of patients with diabetes.
Collapse
Affiliation(s)
- Yazed AlRuthia
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- Pharmacoeconomics Research Unit, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- * E-mail:
| | - Monira Alwhaibi
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- Medication Safety Research Chair, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Haya Almalag
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Latifa Almosabhi
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Majed Almuhaya
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Ibrahim Sales
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Ahmed Abdulrahman Albassam
- Department of Clinical Pharmacy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | | | - Wael Mansy
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Adel S. Bashatah
- Department of Nursing Education and Administration, College of Nursing, King Saud University, Riyadh, Saudi Arabia
| | - Yousif Asiri
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| |
Collapse
|