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Shi Min Ko M, Kit Lee W, Chang Ang L, Goh SY, Mong Bee Y, Ming Teh M. A Cross-Sectional study on risk factors for severe hypoglycemia among Insulin-Treated elderly type 2 diabetes Mellitus (T2DM) patients in Singapore. Diabetes Res Clin Pract 2022; 185:109236. [PMID: 35131380 DOI: 10.1016/j.diabres.2022.109236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/23/2021] [Accepted: 01/31/2022] [Indexed: 12/01/2022]
Abstract
OBJECTIVE This study investigates the risk factors for severe hypoglycemia among Southeast Asian T2DM patients. METHODS Insulin-treated T2DM patients greater than 65 years old with HbA1c < 8% were recruited. They completed questionnaires detailing their experience of hypoglycemia and presence of impaired hypoglycemia awareness (IAH). Data on insulin treatment regimens, glycated haemoglobin (Hba1c) and comorbidities were also collected. RESULTS Of the 92 participants, 15.2% had at least one episode of severe hypoglycemia over the past year. Comparison between both groups showed that patients with severe hypoglycemia had lower Hba1c, higher Gold score (3.9 ± 1.9 vs. 2.5 ± 1.4; p < .05) and higher Hypoglycemia Fear Survey (HFS) worry score (39.1 ± 14.3 vs. 31.8 ± 11.8; p < .05). There were no significant differences in duration of diabetes and insulin treatment, treatment regimens and diabetes associated comorbidities except peripheral vascular disease. Furthermore, no significant differences were noted in HFS behavior score, hypoglycemia risk modifying behavior and social economic status. CONCLUSIONS Patients with severe hypoglycemia had tighter glycemic control, greater IAH and higher worry scores regardless of treatment regimens. Clinicians may play a significant role in tightening glycemic control and influencing the risk of severe hypoglycemia. Standard structured diabetes education may help reduce the risk of severe hypoglycemia among this group of patients.
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Affiliation(s)
| | - Wai Kit Lee
- Faculty of Medicine, Nursing, and Health Sciences, Monash University, Melbourne, Australia
| | - Li Chang Ang
- Medicine Academic Clinical Programme, Singapore General Hospital, Singapore
| | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Ming Ming Teh
- Department of Endocrinology, Singapore General Hospital, Singapore
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Ambrož M, de Vries ST, Hoogenberg K, Denig P. Older Age, Polypharmacy, and Low Systolic Blood Pressure Are Associated With More Hypotension-Related Adverse Events in Patients With Type 2 Diabetes Treated With Antihypertensives. Front Pharmacol 2021; 12:728911. [PMID: 34630105 PMCID: PMC8497792 DOI: 10.3389/fphar.2021.728911] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 09/06/2021] [Indexed: 01/30/2023] Open
Abstract
Background and Aims: Low systolic blood pressure (SBP) levels while being treated with antihypertensives may cause hypotension-related adverse events (hrAEs), especially in the elderly, women, and frail patients. We aimed to assess the association between the occurrence of hrAEs and low SBP levels, age, sex, and polypharmacy among patients with type 2 diabetes (T2D) treated with antihypertensives. Methods: In this cohort study, we used the Groningen Initiative to ANalyse Type 2 diabetes Treatment (GIANTT) database which includes patients managed for T2D in primary care from the north of the Netherlands. Patients treated with ≥1 antihypertensive drug and ≥1 SBP measurement between 2012 and 2014 were included. The outcome was the presence of an hrAE, i.e. postural hypotension, dizziness, weakness/tiredness, and syncope in 90 days before or after the lowest recorded SBP level. Age (≥70 vs. <70 years), sex (women vs. men), polypharmacy (5–9 drugs or ≥10 drugs vs. <5 drugs), and SBP level (<130 or ≥130 mmHg) were included as determinants. Logistic regression analyses were conducted for age, sex and polypharmacy, including the SBP level and their interaction, adjusted for confounders. Odds ratios (OR) with 95% confidence intervals (CI) are presented. Results: We included 21,119 patients, 49% of which were ≥70 years old, 52% were women, 57% had polypharmacy, 61% had an SBP level <130 mmHg and 5.4% experienced an hrAE. Patients with an SBP level <130 mmHg had a significantly higher occurrence of hrAEs than patients with a higher SBP level (6.2 vs. 4.0%; ORs 1.41, 95%CI 1.14–1.75, 1.43, 95%CI 1.17–1.76 and 1.33, 95%CI 1.06–1.67 by age, sex, and polypharmacy, respectively). Older patients (OR 1.29, 95%CI 1.02–1.64) and patients with polypharmacy (OR 5–9 drugs 1.27, 95%CI 1.00–1.62; OR ≥10 drugs 2.37, 95% CI 1.67–3.37) were more likely to experience an hrAE. The association with sex and the interactions between the determinants and SBP level were not significant. Conclusion: Low SBP levels in patients with T2D treated with antihypertensives is associated with an increase in hrAEs. Older patients and those with polypharmacy are particularly at risk of hrAEs. Age, sex, and polypharmacy did not modify the risk of hrAEs associated with a low SBP level.
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Affiliation(s)
- Martina Ambrož
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Sieta T de Vries
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Klaas Hoogenberg
- Department of Internal Medicine, Martini Hospital, Groningen, Netherlands
| | - Petra Denig
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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Liu MA, Papaila A, Diaz de Villalvilla AP. The Importance of Considering Frailty in Research on Older Adults. JAMA Intern Med 2021; 181:1259-1260. [PMID: 34125137 DOI: 10.1001/jamainternmed.2021.2523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Michael A Liu
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Alexa Papaila
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Alexander P Diaz de Villalvilla
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island.,Medical Associates of Rhode Island, Inc, Bristol
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Ambrož M, de Vries ST, Vart P, Dullaart RPF, Roeters van Lennep J, Denig P, Hoogenberg K. Sex Differences in Lipid Profile across the Life Span in Patients with Type 2 Diabetes: A Primary Care-Based Study. J Clin Med 2021; 10:jcm10081775. [PMID: 33921745 PMCID: PMC8072568 DOI: 10.3390/jcm10081775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/11/2021] [Accepted: 04/16/2021] [Indexed: 12/15/2022] Open
Abstract
We assessed sex differences across the life span in the lipid profile of type 2 diabetes (T2D) patients treated and not treated with statins. We used the Groningen Initiative to ANalyze Type 2 diabetes Treatment database, which includes T2D patients from the north of the Netherlands. Patients with a full lipid profile determined between 2010 and 2012 were included. We excluded patients treated with other lipid-lowering drugs than statins. Sex differences in low- and high-density lipoprotein cholesterol (LDL-c and HDL-c) and triglyceride (TG) levels across 11 age groups stratified by statin treatment were assessed using linear regression. We included 26,849 patients (51% women, 55% treated with statins). Without statins, women had significantly lower LDL-c levels than men before the age of 45 years, similar levels between 45 and 49 years, and higher levels thereafter. With statins, similar LDL-c levels were shown up to the age of 55, and higher levels in women thereafter. Women had significantly higher HDL-c levels than men, regardless of age or statin treatment. Men had significantly higher TG levels up to the age of 55 and 60, depending on whether they did not take or took statins, respectively, and similar levels thereafter. When managing cardiovascular risk in patients with T2D, attention is needed for the menopausal status of women and for TG levels in younger men.
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Affiliation(s)
- Martina Ambrož
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands; (S.T.d.V.); (P.V.); (P.D.)
- Correspondence:
| | - Sieta T. de Vries
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands; (S.T.d.V.); (P.V.); (P.D.)
| | - Priya Vart
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands; (S.T.d.V.); (P.V.); (P.D.)
| | - Robin P. F. Dullaart
- Department of Internal Medicine-Endocrinology, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands;
| | - Jeanine Roeters van Lennep
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, 3015GD Rotterdam, The Netherlands;
| | - Petra Denig
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands; (S.T.d.V.); (P.V.); (P.D.)
| | - Klaas Hoogenberg
- Department of Internal Medicine, Martini Hospital, 9728NT Groningen, The Netherlands;
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Ling S, Zaccardi F, Lawson C, Seidu SI, Davies MJ, Khunti K. Glucose Control, Sulfonylureas, and Insulin Treatment in Elderly People With Type 2 Diabetes and Risk of Severe Hypoglycemia and Death: An Observational Study. Diabetes Care 2021; 44:915-924. [PMID: 33541857 DOI: 10.2337/dc20-0876] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 01/10/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To estimate the relative and absolute risk of severe hypoglycemia and mortality associated with glucose control, sulfonylureas, and insulin treatment in elderly people with type 2 diabetes. RESEARCH DESIGN AND METHODS We identified elderly subjects (≥70 years old) with type 2 diabetes between 2000 and 2017 in the U.K. Clinical Practice Research Datalink primary care database with linkage to hospitalization and death data. Subjects with three consecutive HbA1c values <7% (53 mmol/mol) while on insulin and/or sulfonylureas within 60 days prior to the third HbA1c value (exposed) were matched with subjects not exposed. Hazard ratios (HRs) and absolute risks were estimated for hospitalizations for severe hypoglycemia and cardiovascular and noncardiovascular-related mortality. RESULTS Among 22,857 included subjects (6,288 [27.5%] exposed, of whom 5,659 [90.0%] were on a sulfonylurea), 10,878 (47.6%) deaths and 1,392 (6.1%) severe hypoglycemic episodes occurred during the follow-up. In comparison with nonexposed subjects, the adjusted HR in exposed subjects was 2.52 (95% CI 2.23, 2.84) for severe hypoglycemia, 0.98 (0.91, 1.06) for cardiovascular mortality, and 1.05 (0.99, 1.11) for noncardiovascular mortality. In a 70-, 75-, 80-, and 85-year-old subject, the 10-year risk of severe hypoglycemia was 7.7%, 8.1%, 8.6%, and 8.4% higher than in nonexposed subjects, while differences for noncardiovascular mortality ranged from 1.2% (95% CI -0.1, 2.5) in a 70-year-old to 1.6% (-0.2, 3.4) in an 85-year-old subject. Sulfonylurea and insulin use were more relevant predictors of severe hypoglycemia and death than were glucose levels. CONCLUSIONS Elderly subjects with type 2 diabetes and low HbA1c on sulfonylurea or insulin treatment experienced a substantially higher risk of hospitalization for severe hypoglycemia but had no clear evidence of increased risks of mortality.
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Affiliation(s)
- Suping Ling
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K. .,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Francesco Zaccardi
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Claire Lawson
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Samuel I Seidu
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - Melanie J Davies
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,NIHR Leicester Biomedical Research Centre, Leicester Diabetes Research Centre, Leicester General Hospital, Leicester, U.K
| | - Kamlesh Khunti
- Leicester Diabetes Research Centre, University Hospital Leicester, Leicester General Hospital, Leicester, U.K.,Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
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Ambrož M, de Vries ST, Hoogenberg K, Denig P. Trends in HbA 1c thresholds for initiation of hypoglycemic agents: Impact of changed recommendations for older and frail patients. Pharmacoepidemiol Drug Saf 2020; 30:37-44. [PMID: 32955156 PMCID: PMC7756585 DOI: 10.1002/pds.5129] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/27/2020] [Accepted: 08/28/2020] [Indexed: 11/09/2022]
Abstract
Aims Less strict glycated hemoglobin (HbA1c) thresholds have been recommended in older and/or frail type 2 diabetes (T2D) patients than in younger and less frail patients for initiating hypoglycemic agents since 2011. We aimed to assess trends in HbA1c thresholds at initiation of a first hypoglycemic agent(s) in T2D patients and the influence of age and frailty on these trends. Materials and methods The groningen initiative to analyze type 2 diabetes treatment (GIANTT) database was used, which includes primary care T2D patients from the north of the Netherlands. Patients initiating a first non‐insulin hypoglycemic agent(s) between 2008 and 2014 with an HbA1c measurement within 120 days before initiation were included. The influence of calendar year, age, or frailty and the interaction between calendar year and age or frailty were assessed using multilevel regression analyses adjusted for confounders. Results We included 4588 patients. The mean HbA1c threshold at treatment initiation was 7.4% up to 2010, decreasing to 7.1% in 2011 and increasing to 7.4% in 2014. This quadratic change over the years was significant (P < 0.001). Patients aged 60 to 79 initiated treatments at lower HbA1c and patients of different frailty at similar HbA1c levels. The interaction between year and age or frailty was not significant (P > 0.05). Conclusions HbA1c thresholds at initiation of a first hypoglycemic agent(s) changed significantly over time, showing a decrease after 2010 and an increase after 2012. The HbA1c threshold at initiation was not influenced by age or frailty, which is in contrast with recommendations for more personalized treatment.
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Affiliation(s)
- Martina Ambrož
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sieta T de Vries
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaas Hoogenberg
- Department of Internal Medicine, Martini Hospital, Groningen, The Netherlands
| | - Petra Denig
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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7
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Ambrož M, de Vries ST, Sidorenkov G, Hoogenberg K, Denig P. Changes in blood pressure thresholds for initiating antihypertensive medication in patients with diabetes: a repeated cross-sectional study focusing on the impact of age and frailty. BMJ Open 2020; 10:e037694. [PMID: 32912988 PMCID: PMC7485238 DOI: 10.1136/bmjopen-2020-037694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 07/16/2020] [Accepted: 07/20/2020] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To assess trends in systolic blood pressure (SBP) thresholds at initiation of antihypertensive treatment in patients with type 2 diabetes and the impact of age and frailty on these trends. STUDY DESIGN AND SETTING A repeated cross-sectional cohort study (2007-2014) using the Groningen Initiative to Analyse Type 2 diabetes Treatment database was conducted. The influence of calendar year, age or frailty and the interaction between year and age or frailty on SBP thresholds were assessed using multilevel regression analyses adjusted for potential confounders. RESULTS We included 4819 patients. The mean SBP at treatment initiation was 157 mm Hg in 2007, rising to 158 mm Hg in 2009 and decreasing to 151 mm Hg in 2014. This quadratic trend was significant (p<0.001). Older patients initiated treatment at higher SBP, but similar decreasing trends after 2009 were observed in all age groups. There were no significant differences in SBP thresholds between patients with different frailty groups. The association between year and SBP threshold was not influenced by age or frailty. CONCLUSION After an initial rise, the observed SBP thresholds decreased over time and were not influenced by age or frailty. This is in contrast with changed guideline recommendations towards more personalised treatment during the study period and illustrates that changing prescribing practice may take considerable time. Patient-specific algorithms and tools focusing on when and when not to initiate treatment could be helpful to support personalised diabetes care.
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Affiliation(s)
- Martina Ambrož
- University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Sieta T de Vries
- University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Grigory Sidorenkov
- University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | | | - Petra Denig
- University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
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Vos RC, den Ouden H, Daamen LA, Bilo HJG, Denig P, Rutten GEHM. Population-based screen-detected type 2 diabetes mellitus is associated with less need for insulin therapy after 10 years. BMJ Open Diabetes Res Care 2020; 8:8/1/e000949. [PMID: 32238363 PMCID: PMC7170393 DOI: 10.1136/bmjdrc-2019-000949] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 01/10/2020] [Accepted: 02/07/2020] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION With increased duration of type 2 diabetes, most people have a growing need of glucose-lowering medication and eventually might require insulin. Presumptive evidence is reported that early detection (eg, by population-based screening) and treatment of hyperglycemia will postpone the indication for insulin treatment. A treatment legacy effect of population-based screening for type 2 diabetes of about 3 years is estimated. Therefore, we aim to compare insulin prescription and glycemic control in people with screen-detected type 2 diabetes after 10 years with data from people diagnosed with type 2 diabetes seven (treatment legacy effect) and 10 years before during care-as-usual. RESEARCH DESIGN AND METHODS Three cohorts were compared: one screen-detected cohort with 10 years diabetes duration (Anglo-Danish-Dutch study of Intensive Treatment in People with Screen-Detected Diabetes in Primary care (ADDITION-NL): n=391) and two care-as-usual cohorts, one with 7-year diabetes duration (Groningen Initiative to Analyze Type 2 Diabetes Treatment (GIANTT) and Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC): n=4473) and one with 10-year diabetes duration (GIANTT and ZODIAC: n=2660). Insulin prescription (primary outcome) and hemoglobin A1c (HbA1c) of people with a known diabetes duration of 7 years or 10 years at the index year 2014 were compared using regression analyses. RESULTS Insulin was prescribed in 10.5% (10-year screen detection), 14.7% (7-year care-as-usual) and 19.0% (10-year care-as-usual). People in the 7-year and 10-year care-as-usual groups had a 1.5 (95% CI 1.0 to 2.1) and 1.8 (95% CI 1.3 to 2.7) higher adjusted odds for getting insulin prescribed than those after screen detection. Lower HbA1c values were found 10 years after screen detection (mean 50.1 mmol/mol (6.7%) vs 51.8 mmol/mol (6.9%) and 52.8 mmol/mol (7.0%)), compared with 7 years and 10 years after care-as-usual (MDadjusted: 1.6 mmol/mol (95% CI 0.6 to 2.6); 0.1% (95% CI 0.1 to 0.2) and 1.8 mmol/mol (95% CI 0.7 to 2.9); and 0.2% (95% CI 0.1 to 0.3)). CONCLUSION Population-based screen-detected type 2 diabetes is associated with less need for insulin after 10 years compared with people diagnosed during care-as-usual. Glycemic control was better after screen detection but on average good in all groups.
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Affiliation(s)
- Rimke C Vos
- Public Health and Primary Care/LUMC-Campus The Hague, LUMC, Leiden, The Netherlands
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands
| | - Henk den Ouden
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands
| | - Lois A Daamen
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands
| | - Henk J G Bilo
- Department of Internal Medicine, Isala Klinieken Locatie Weezenlanden, Zwolle, The Netherlands
| | - Petra Denig
- Department of Clinical Pharmacy and Pharmacology, UMCG, Groningen, The Netherlands
| | - Guy E H M Rutten
- Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands
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Oktora MP, Denig P, Bos JHJ, Schuiling-Veninga CCM, Hak E. Trends in polypharmacy and dispensed drugs among adults in the Netherlands as compared to the United States. PLoS One 2019; 14:e0214240. [PMID: 30901377 PMCID: PMC6430511 DOI: 10.1371/journal.pone.0214240] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 03/09/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND PURPOSE Polypharmacy is becoming increasingly common owing to the ageing population, which can pose problems for patients and society. We investigated the trends in polypharmacy and underlying drug groups among adults in the Netherlands from 1999 to 2014 stratified by age, and compared these with findings from the United States (US). METHODS We conducted a repeated cross-sectional study using the Dutch IADB.nl prescription database. All patients aged 20 years and older in the period 1999 to 2014 were included. Polypharmacy was defined as the dispensing of five or more chronic drugs at the pharmacological subgroup level. Chi-square tests were applied to calculate the p-value for trends. Changes in prevalences were compared between the Netherlands and the US. RESULTS The prevalence of polypharmacy increased from 3.1% to 8.0% (p-value for trend <0.001) over 15 years, and increased in all age groups. The highest rates were observed in patients aged ≥65 years, but the relative increase over time was higher in the younger age groups. Overall, large increases were observed for angiotensin-II inhibitors, statins and proton-pump inhibitors. The relative increase in polypharmacy was larger in the Netherlands than in the US (ratio of polypharmacy prevalence 2.4 versus 1.8). The Netherlands showed larger relative increases for angiotensin-II inhibitors, statins, proton-pump inhibitors, biguanides and smaller relative increases for antidepressants, benzodiazepines and insulins. CONCLUSIONS Polypharmacy more than doubled from 1999 to 2014, and this increase was not limited to the elderly. The relative increase was larger in the Netherlands compared to the US, which was partly due to larger increases in several guideline-recommended preventive drugs.
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Affiliation(s)
- Monika P. Oktora
- University of Groningen, University Medical Center Groningen (UMCG), Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
- * E-mail:
| | - Petra Denig
- University of Groningen, University Medical Center Groningen (UMCG), Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Jens H. J. Bos
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen, The Netherlands
| | - Catharina C. M. Schuiling-Veninga
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen, The Netherlands
| | - Eelko Hak
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen, The Netherlands
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Silbert R, Salcido-Montenegro A, Rodriguez-Gutierrez R, Katabi A, McCoy RG. Hypoglycemia Among Patients with Type 2 Diabetes: Epidemiology, Risk Factors, and Prevention Strategies. Curr Diab Rep 2018; 18:53. [PMID: 29931579 PMCID: PMC6117835 DOI: 10.1007/s11892-018-1018-0] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
PURPOSE OF REVIEW Hypoglycemia is the most common and often treatment-limiting serious adverse effect of diabetes therapy. Despite being potentially preventable, hypoglycemia in type 2 diabetes incurs substantial personal and societal burden. We review the epidemiology of hypoglycemia in type 2 diabetes, discuss key risk factors, and introduce potential prevention strategies. RECENT FINDINGS Reported rates of hypoglycemia in type 2 diabetes vary widely as there is marked heterogeneity in how hypoglycemia is defined, measured, and reported. In randomized controlled trials, rates of severe hypoglycemia ranged from 0.7 to 12 per 100 person-years. In observational studies, hospitalizations or emergency department visits for hypoglycemia were experienced by 0.2 (patients treated without insulin or sulfonylurea) to 2.0 (insulin or sulfonylurea users) per 100 person-years. Patient-reported hypoglycemia is much more common. Over the course of 6 months, 1-4% non-insulin users reported need for medical attention for hypoglycemia; 1-17%, need for any assistance; and 46-58%, any hypoglycemia symptoms. Similarly, over a 12-month period, 4-17% of insulin-treated patients reported needing assistance and 37-64% experienced any hypoglycemic symptoms. Hypoglycemia is most common among older patients with multiple or advanced comorbidities, patients with long diabetes duration, or patients with a prior history of hypoglycemia. Insulin and sulfonylurea use, food insecurity, and fasting also increase hypoglycemia risk. Clinical decision support tools may help identify at-risk patients. Prospective trials of efforts to reduce hypoglycemia risk are needed, and there is emerging evidence supporting multidisciplinary interventions including treatment de-intensification, use of diabetes technologies, diabetes self-management, and social support. Hypoglycemia among patients with type 2 diabetes is common. Patient-centered multidisciplinary care may help proactively identify at-risk patients and address the multiplicity of factors contributing to hypoglycemia occurrence.
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Affiliation(s)
- Richard Silbert
- Department of Medicine Residency Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Alejandro Salcido-Montenegro
- Division of Endocrinology, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo Leon, Av. Francisco I. Madero y Av. Gonzalitos s/n, Mitras Centro, 64460, Monterrey, Nuevo León, Mexico
- Plataforma INVEST Medicina UANL-KER Unit Mayo Clinic, "Dr. Jose E. González" University Hospital, Autonomous University of Nuevo Leon, 64460, Monterrey, Nuevo Leon, Mexico
| | - Rene Rodriguez-Gutierrez
- Division of Endocrinology, Department of Internal Medicine, University Hospital "Dr. José E. González", Universidad Autonoma de Nuevo Leon, Av. Francisco I. Madero y Av. Gonzalitos s/n, Mitras Centro, 64460, Monterrey, Nuevo León, Mexico
- Plataforma INVEST Medicina UANL-KER Unit Mayo Clinic, "Dr. Jose E. González" University Hospital, Autonomous University of Nuevo Leon, 64460, Monterrey, Nuevo Leon, Mexico
- Knowledge and Evaluation Research Unit in Endocrinology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Abdulrahman Katabi
- Evidence-Based Practice Center, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Rozalina G McCoy
- Division of Community Internal Medicine, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Division of Health Care Policy and Research, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, 55905, USA.
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McAlister FA, Lethebe BC, Lambe C, Williamson T, Lowerison M. Control of glycemia and blood pressure in British adults with diabetes mellitus and subsequent therapy choices: a comparison across health states. Cardiovasc Diabetol 2018; 17:27. [PMID: 29433515 PMCID: PMC5808447 DOI: 10.1186/s12933-018-0673-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 02/07/2018] [Indexed: 12/21/2022] Open
Abstract
Background To examine the intensity of glycemic and blood pressure control in British adults with diabetes mellitus and whether control levels or treatment deintensification rates differ across health states. Methods Retrospective cohort study using primary care electronic medical records (the United Kingdom Health Improvement Network Database) for adults with diabetes diagnosed at least 6 months before the index HbA1C and systolic blood pressure (SBP) measurements (to give their primary care physicians time to achieve treatment goals). We used prescribing records for 6 months pre/post the index measurements to determine who had therapy subsequently deintensified (based on “glycemic therapy score” and “antihypertensive therapy score” derived from number and dosage of medications). Results Of 292,170 individuals with diabetes, HbA1C < 6% or SBP < 120 mmHg after at least 6 months of management was less common in otherwise fit patients (15.0 and 12.7%) than in those who were mildly frail (16.6 and 13.2%) or moderately–severely frail (20.2 and 17.0%, both p < 0.0001). In the next 6 months, only 44.7% of those with HbA1C < 6% had glycemic therapy reduced (44.4% of fit, 47.1% of mildly frail, and 41.5% of moderate-severely frail patients) and 39.8% of those with SBP < 120 had their antihypertensives decreased (39.3% of fit, 43.0% of mildly frail, and 46.7% of moderate-severely frail patients). On the other hand, more individuals exhibited higher than recommended levels for HbA1C or SBP after the first 6 months of therapy (37.3, 33.4, and 31.3% of fit, mildly frail, and moderately–severely frail patients had HbA1C > 7.5% and 46.6, 51.4, and 48.5% had SBP > 140 mmHg). The proportions of patients with HbA1C or SBP out of recommended treatment ranges changed little 6 months later despite frequent (median 14 per year) primary care visits. Conclusions Glycemic and hypertensive control exhibited statistically significant but small magnitude differences across frailty states. Medication deintensification was uncommon, even in frail patients below SBP and HbA1C targets. SBP levels were more likely to be outside recommended treatment ranges than glycemic levels. Trial registration As this study is a retrospective secondary analysis of electronic medical record data and not a health care intervention trial it was not registered Electronic supplementary material The online version of this article (10.1186/s12933-018-0673-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Finlay A McAlister
- Division of General Internal Medicine, 5-134C Clinical Sciences Building, University of Alberta, 11350 83 Avenue, Edmonton, AB, T6G 2G3, Canada. .,Patient Health Outcomes Research and Clinical Effectiveness Unit, 5-134C Clinical Sciences Building, University of Alberta, 11350 83 Avenue, Edmonton, AB, T6G 2G3, Canada.
| | - Brendan Cord Lethebe
- Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Caitlin Lambe
- Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Tyler Williamson
- Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Mark Lowerison
- Clinical Research Unit, Cumming School of Medicine, University of Calgary, Calgary, Canada
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Khunti K, Gomes MB, Pocock S, Shestakova MV, Pintat S, Fenici P, Hammar N, Medina J. Therapeutic inertia in the treatment of hyperglycaemia in patients with type 2 diabetes: A systematic review. Diabetes Obes Metab 2018; 20:427-437. [PMID: 28834075 PMCID: PMC5813232 DOI: 10.1111/dom.13088] [Citation(s) in RCA: 224] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 08/08/2017] [Accepted: 08/15/2017] [Indexed: 12/28/2022]
Abstract
AIMS Therapeutic inertia, defined as the failure to initiate or intensify therapy in a timely manner according to evidence-based clinical guidelines, is a key reason for uncontrolled hyperglycaemia in patients with type 2 diabetes. The aims of this systematic review were to identify how therapeutic inertia in the management of hyperglycaemia was measured and to assess its extent over the past decade. MATERIALS AND METHODS Systematic searches for articles published from January 1, 2004 to August 1, 2016 were conducted in MEDLINE and Embase. Two researchers independently screened all of the titles and abstracts, and the full texts of publications deemed relevant. Data were extracted by a single researcher using a standardized data extraction form. RESULTS The final selection for the review included 53 articles. Measurements used to assess therapeutic inertia varied across studies, making comparisons difficult. Data from low- to middle-income countries were scarce. In most studies, the median time to treatment intensification after a glycated haemoglobin (HbA1c) measurement above target was more than 1 year (range 0.3 to >7.2 years). Therapeutic inertia increased as the number of antidiabetic drugs rose and decreased with increasing HbA1c levels. Data were mainly available from Western countries. Diversity of inertia measures precluded meta-analysis. CONCLUSIONS Therapeutic inertia in the management of hyperglycaemia in patients with type 2 diabetes is a major concern. This is well documented in Western countries, but corresponding data are urgently needed in low- and middle-income countries, in view of their high prevalence of type 2 diabetes.
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Affiliation(s)
| | | | - Stuart Pocock
- London School of Hygiene and Tropical MedicineLondonUK
| | - Marina V. Shestakova
- Endocrinology Research CenterMoscowRussian Federation
- I.M. Sechenov First Moscow State Medical UniversityMoscowRussian Federation
| | | | | | - Niklas Hammar
- AstraZenecaMölndalSweden
- Institute of Environmental Medicine, Karolinska InstituteStockholmSweden
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Coons MJ, Greiver M, Aliarzadeh B, Meaney C, Moineddin R, Williamson T, Queenan J, Yu CH, White DG, Kiran T, Kane JJ. Is glycemia control in Canadians with diabetes individualized? A cross-sectional observational study. BMJ Open Diabetes Res Care 2017; 5:e000316. [PMID: 28761645 PMCID: PMC5530242 DOI: 10.1136/bmjdrc-2016-000316] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 04/13/2017] [Accepted: 04/15/2017] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE Diabetes guidelines recommend individualized glycemic targets: tighter control in younger, healthier patients and consideration of more moderate control in the elderly and those with coexisting illnesses. Our objective was to examine whether glycemic control varied by age and comorbidities in Canadian primary care. RESEARCH DESIGN AND METHODS Cross-sectional study using data from the electronic medical records of 537 primary care providers across Canada; 30 416 patients with diabetes, aged 40 or above, with at least one encounter and one hemoglobin A1c (HbA1c) measurement between 1 January 2012 and 31 December 2013. The outcome was the most recent HbA1c, categorized into three levels of control: tight (<7.0% or <53 mmol/mol), moderate (7.0%-8.5%, 53 mmol/mol-69.5 mmol/mol) and uncontrolled (>8.5% or >69.5 mmol/mol). We adjusted for several factors associated with glycemic control including treatment intensity. RESULTS Younger patients (aged 40-49) were more likely to have moderate as opposed to tight control than the older patients (aged 80+) (OR 1.28; 95% CI 1.11 to 1.49, p=0.001). The youngest were also more likely to have uncontrolled as opposed to moderately controlled glycemia (OR 3.39; 95% CI 2.75 to 4.17, p<0.0001). Patients with no or only one comorbidity were more likely to have moderate as opposed to tight control than those with three or more comorbidities (OR 1.66;95% CI 1.46 to 1.90, p<0.0001). CONCLUSIONS Levels of glycemic control, given age and comorbidities appear to differ from guideline recommendations. Research is needed to understand these discrepancies and develop methods to assist providers in personalizing glycemic targets.
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Affiliation(s)
- Michael J Coons
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Medical Bariatric Program, St. Joseph’s Healthcare Hamilton, Hamilton, Canada
- Department of Psychology, Faculty of Health, York University, Toronto, Canada
| | - Michelle Greiver
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- North York Family Health Team, Toronto, Canada
- Canadian Primary Care Sentinel Surveillance Network, Kingston, Canada
- Department of Family and Community Medicine, North York General Hospital, Toronto, Canada
| | - Babak Aliarzadeh
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Canadian Primary Care Sentinel Surveillance Network, Kingston, Canada
- Department of Family and Community Medicine, North York General Hospital, Toronto, Canada
| | - Christopher Meaney
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Rahim Moineddin
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Primary Care and Population Health, Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Tyler Williamson
- Canadian Primary Care Sentinel Surveillance Network, Kingston, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Toronto, Canada
| | - John Queenan
- Canadian Primary Care Sentinel Surveillance Network, Kingston, Canada
| | - Catherine H Yu
- Department of Medicine, Division of Endocrinology & Metabolism, St. Michael's Hospital, Toronto, Canada
| | - David G White
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- North York Family Health Team, Toronto, Canada
- Department of Family and Community Medicine, North York General Hospital, Toronto, Canada
| | - Tara Kiran
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Family and Community Medicine, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Canada
| | - Jennifer J Kane
- Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Family Medicine, Markham Stouffville Hospital, Toronto, Canada
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Kasteleyn MJ, Wezendonk A, Vos RC, Numans ME, Jansen H, Rutten GEHM. Repeat prescriptions of guideline-based secondary prevention medication in patients with type 2 diabetes and previous myocardial infarction in Dutch primary care. Fam Pract 2014; 31:688-93. [PMID: 25106412 DOI: 10.1093/fampra/cmu042] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Secondary prevention is efficient in reducing morbidity and mortality after a myocardial infarction (MI). However, both short-term and long-term mortality after MI remains relativity high in type 2 diabetes patients. OBJECTIVE To evaluate repeat prescriptions of secondary prevention medication (anti-thrombotic agent, beta-blocker and statin) in type 2 diabetes patients with a previous MI. METHODS Data of 1009 type 2 diabetes patients with a previous MI were extracted from the Julius General Practitioners' Network database. The proportion of patients with recent repeat prescriptions of guideline-based medication was determined. Furthermore, repeat prescriptions was determined 6 months, 1 year, 2 years and 5 years after MI. Generalized linear models were used to examine changes over time. Multivariate logistic regression analysis was used to analyse the association between patient characteristics and prescription. RESULTS Only 46% of all type 2 diabetes patients with a previous MI had a recent repeat prescription for all three medicines. An increase in prescription over time was found for statins (P = 0.001). Older aged people [odds ratio (OR): 0.99, 95% confidence interval (CI): 0.98-1.00] were less likely to receive the combination of all three. CONCLUSION A substantial proportion of type 2 diabetes patients with a previous MI did not receive guideline-based secondary prevention. Prescription rates were quite stable over time. This study confirms the need for a different approach to achieve an improvement of secondary prevention in type 2 diabetes patient with a previous MI. GPs can play an important role in this respect by being extra alert that prescription occurs according to the guidelines.
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Affiliation(s)
- Marise J Kasteleyn
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and
| | - Aryan Wezendonk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and
| | - Rimke C Vos
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and
| | - Mattijs E Numans
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and Department for Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands
| | - Hanneke Jansen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and
| | - Guy E H M Rutten
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht and
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