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Umegaki H. Management of older adults with diabetes mellitus: Perspective from geriatric medicine. J Diabetes Investig 2024; 15:1347-1354. [PMID: 39115890 DOI: 10.1111/jdi.14283] [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: 06/30/2024] [Accepted: 07/22/2024] [Indexed: 10/02/2024] Open
Abstract
Advances in diabetes medication and population aging are lengthening the lifespans of people with diabetes mellitus (DM). Older patients with diabetes mellitus often have multimorbidity and tend to have polypharmacy. In addition, diabetes mellitus is associated with frailty, functional decline, cognitive impairment, and geriatric syndrome. Although the numbers of patients with frailty, dementia, disability, and/or multimorbidity are increasing worldwide, the accumulated evidence on the safe and effective treatment of these populations remains insufficient. Older patients, especially those older than 75 years old, are often underrepresented in randomized controlled trials of various treatment effects, resulting in limited clinical evidence for this population. Therefore, a deeper understanding of the characteristics of older patients is essential to tailor management strategies to their needs. The clinical guidelines of several academic societies have begun to recognize the importance of relaxing glycemic control targets to prevent severe hypoglycemia and to maintain quality of life. However, glycemic control levels are thus far based on expert consensus rather than on robust clinical evidence. There is an urgent need for the personalized management of older adults with diabetes mellitus that considers their multimorbidity and function and strives to maintain a high quality of life through safe and effective medical treatment. Older adults with diabetes mellitus accompanied by frailty, functional decline, cognitive impairment, and multimorbidity require special management considerations and liaison with both carers and social resources.
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Affiliation(s)
- Hiroyuki Umegaki
- Department of Community Healthcare and Geriatrics, Nagoya University Graduate School of Medicine, Aichi, Japan
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Kintzoglanakis K, Pavlou-Skantzis L, Themeli T, Kyprianou M, Paschou SA. Determinants of health-related quality of life of patients with type 2 diabetes and multimorbidity: a cross-sectional study. Hormones (Athens) 2024; 23:407-414. [PMID: 38485876 DOI: 10.1007/s42000-024-00545-y] [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: 08/18/2023] [Accepted: 03/06/2024] [Indexed: 09/28/2024]
Abstract
PURPOSE To examine the determinants of health-related quality of life (HRQoL) of patients with type 2 diabetes (PwD) and multimorbidity (MM) (at least one co-occurring condition besides T2D) among sociodemographic, disease-related, and MM variables and the association of MM with therapeutic targets. METHODS A total of 179 PwD attending primary care (PC) in Greece answered the 15 dimension HRQoL (15D) questionnaire between August 2019 and October 2020. Sociodemographic, disease-related, and MM characteristics were recorded. MM was categorized as concordant or discordant based on whether or not it was related to the pathophysiology of T2D. Independent predictors of the 15D score were examined in stepwise regression models among sociodemographic, disease-related, and MM variables and the association of MM with glycated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C) was assessed. RESULTS The mean 15D score was 0.85 ± 0.11 and the mean MM count was 4.3 ± 1.8. Significant predictors of a higher 15D score were male gender, married state, higher monthly income, and more physical activity. Significant predictors of a lower 15D score were employment, depression, musculoskeletal disease, coronary artery disease, neuropathy, and MM count, but discordant had a stronger effect than concordant MM. Increasing MM count was not significantly correlated with A1C and was correlated with lower LDL-C. CONCLUSION Non-medical (physical activity and sociodemographic) rather than disease-related characteristics and discordant more than concordant co-occurring conditions affected HRQoL of multimorbid PwD who did not have worse (A1C) or achieved better (LDL-C) therapeutic targets. A generalist approach to the non-medical needs and overall health conditions of PwD could be promoted in PC within the social determinants of health and MM.
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Affiliation(s)
| | | | | | | | - Stavroula A Paschou
- Endocrine Unit and Diabetes Center, School of Medicine, Alexandra Hospital, National and Kapodistrian University of Athens, Athens, Greece
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Bugge SJ, Henriksen DP, Damkier P, Rahbek MT, Schousboe K, Rothmann MJ, Poulsen MK, Hansen C, Nagarajah S, Jensen PB, Johansson SL, Panou V, Schneider IR, Pedersen CG, Andersen JD, Hangaard J, Zwisler ADO. Network of doctors for multimorbidity and diabetes - the NOMAD intervention: protocol for feasibility trial of multidisciplinary team conferences for people with diabetes and multimorbidity. Pilot Feasibility Stud 2024; 10:91. [PMID: 38879561 PMCID: PMC11179232 DOI: 10.1186/s40814-024-01517-0] [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: 09/26/2023] [Accepted: 06/06/2024] [Indexed: 06/19/2024] Open
Abstract
BACKGROUND The prevalence of diabetes and coexisting multimorbidity rises worldwide. Treatment of this patient group can be complex. Providing an evidence-based, coherent, and patient-centred treatment of patients with multimorbidity poses a challenge in healthcare systems, which are typically designed to deliver disease-specific care. We propose an intervention comprising multidisciplinary team conferences (MDTs) to address this issue. The MDT consists of medical specialists in five different specialities meeting to discuss multimorbid diabetes patients. This protocol describes a feasibility test of MDTs designed to coordinate care and improve quality of life for people with diabetes and multimorbidity. METHODS A mixed-methods one-arm feasibility test of the MDT. Feasibility will be assessed through prospectively collected data. We will explore patient perspectives through patient-reported outcomes (PROs) and assess the feasibility of electronic questionnaires. Feasibility outcomes are recruitment, PRO completion, technical difficulties, impact of MDT, and doctor preparation time. During 17 months, up to 112 participants will be recruited. We will report results narratively and by the use of descriptive statistics. The collected data will form the basis for a future large-scale randomised trial. DISCUSSION A multidisciplinary approach focusing on better management of diabetic patients suffering from multimorbidity may improve functional status, quality of life, and health outcomes. Multimorbidity and diabetes are highly prevalent in our healthcare system, but we lack a solid evidence-based approach to patient-centred care for these patients. This study represents the initial steps towards building such evidence. The concept can be efficiency tested in a randomised setting, if found feasible to intervention providers and receivers. If not, we will have gained experience on how to manage diabetes and multimorbidity as well as organisational aspects, which together may generate hypotheses for research on how to handle multimorbidity in the future. ADMINISTRATIVE INFORMATION Protocol version: 01 TRIAL REGISTRATION: NCT05913726 - registration date: 21 June 2023.
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Affiliation(s)
- Stine Jorstad Bugge
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark.
- Department of Pharmacology, Odense University Hospital, Odense, Denmark.
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Daniel Pilsgaard Henriksen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Per Damkier
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Martin Torp Rahbek
- Department of Pharmacology, Odense University Hospital, Odense, Denmark
- Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Karoline Schousboe
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Mette Juel Rothmann
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Marianne Kjær Poulsen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Camilla Hansen
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
| | - Subagini Nagarajah
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Nephrology, Odense University Hospital, Odense, Denmark
| | - Per Bruno Jensen
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Nephrology, Odense University Hospital, Odense, Denmark
| | - Sofie Lock Johansson
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Vasiliki Panou
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Respiratory Medicine, Odense University Hospital, Odense, Denmark
| | - Ida Ransby Schneider
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Charlotte Gjørup Pedersen
- Steno Diabetes Centre Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Jonas Dahl Andersen
- Steno Diabetes Centre Northern Jutland, Aalborg University Hospital, Aalborg, Denmark
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Jørgen Hangaard
- Steno Diabetes Centre Odense, Odense University Hospital, 5000, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Ann-Dorthe Olsen Zwisler
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- REHPA, The Danish Knowledge Centre for Rehabilitation and Palliative Care, Odense University Hospital, Nyborg, Denmark
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Wong WJ, Nguyen T, Fortin M, Harrison C. Prevalence and patterns of comorbidities in older people with type 2 diabetes in Australian primary care settings. Australas J Ageing 2024; 43:306-313. [PMID: 38343287 DOI: 10.1111/ajag.13282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 12/18/2023] [Accepted: 12/26/2023] [Indexed: 03/02/2024]
Abstract
OBJECTIVE The aim of this study was to identify the prevalence and patterns of comorbidity in community-dwelling older people with type 2 diabetes mellitus (T2DM) attending general practice settings in Australia. METHODS This study involved a cross-sectional analysis using the Bettering the Evaluation and Care of Health (BEACH) sub-study data. In a series of sub-studies, a representative sample of general practitioners was asked to record all diagnosed chronic conditions for patients at 40 consecutive encounters using structured paper-based recording forms. The dataset was analysed with descriptive analyses, and exploratory factor analyses were applied to examine comorbidity patterns. RESULTS Of the 14,042 patients aged 65 years or older, 2688 had a diagnosis of T2DM (19%). Of the 2688 patients with T2DM, hypertension was present in 67% (95% CI: 64.6-70.0), followed by arthritis 52% (95% CI: 48.8-54.8), hyperlipidaemia 45% (95% CI: 41.8-47.9), ischemic heart disease, 23% (95% CI: 20.7-24.9), depression 16% (95% CI: 48.8-54.8), atrial fibrillation 10% (95% CI: 8.9-11.6), congestive heart failure 7% (95% CI: 6.0-8.1), stroke/cerebrovascular accident 7% (95% CI: 5.4-8.2) and peripheral vascular disease 5% (95% CI: 4.4-6.2). We identified two comorbidity patterns among older people with T2DM. The first were psychological and musculoskeletal conditions and the second were cardiovascular conditions and chronic renal failure. CONCLUSIONS The prevalence of cardiovascular and non-cardiovascular comorbidities in community-dwelling older people with T2DM was high. Adequate primary care strategies should be in place to support the long-term care for this population.
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Affiliation(s)
- Wei Jin Wong
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- School of Pharmacy, Monash, University Malaysia, Subang Jaya, Selangor, Malaysia
| | - Tu Nguyen
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Martin Fortin
- Department of Family Medicine and Emergency Medicine, Université de Sherbrooke, Saguenay, Quebec, Canada
| | - Christopher Harrison
- The Menzies Centre for Health Policy and Economics, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Sinclair AJ, Abdelhafiz AH. Multimorbidity, Frailty and Diabetes in Older People-Identifying Interrelationships and Outcomes. J Pers Med 2022; 12:1911. [PMID: 36422087 PMCID: PMC9695437 DOI: 10.3390/jpm12111911] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 08/11/2023] Open
Abstract
Multimorbidity and frailty are highly prevalent in older people with diabetes. This high prevalence is likely due to a combination of ageing and diabetes-related complications and other diabetes-associated comorbidities. Both multimorbidity and frailty are associated with a wide range of adverse outcomes in older people with diabetes, which are proportionally related to the number of morbidities and to the severity of frailty. Although, the multimorbidity pattern or cluster of morbidities that have the most adverse effect are not yet well defined, it appears that mental health disorders enhance the multimorbidity-related adverse outcomes. Therefore, comprehensive diabetes guidelines that incorporate a holistic approach that includes screening and management of mental health disorders such as depression is required. The adverse outcomes predicted by multimorbidity and frailty appear to be similar and include an increased risk of health care utilisation, disability and mortality. The differential effect of one condition on outcomes, independent of the other, still needs future exploration. In addition, prospective clinical trials are required to investigate whether interventions to reduce multimorbidity and frailty both separately and in combination would improve clinical outcomes.
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Affiliation(s)
- Alan J. Sinclair
- Foundation for Diabetes Research in Older People (fDROP), King’s College, London WC2R 2LS, UK
- Rotherham General Hospital Foundation Trust, Rotherham S60 2UD, UK
| | - Ahmed H. Abdelhafiz
- Foundation for Diabetes Research in Older People (fDROP), King’s College, London WC2R 2LS, UK
- Department of Geriatric Medicine, Rotherham General Hospital, Rotherham S60 2UD, UK
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Zheng M, Bernardo CDO, Stocks N, Gonzalez-Chica D. Diabetes Mellitus Diagnosis and Screening in Australian General Practice: A National Study. J Diabetes Res 2022; 2022:1566408. [PMID: 35372584 PMCID: PMC8968388 DOI: 10.1155/2022/1566408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 12/02/2022] Open
Abstract
Aims To investigate the epidemiology of diabetes diagnosis and screening in Australian general practice. Methods Cross-sectional study using electronic health records of 1,522,622 patients aged 18+ years attending 544 Australian general practices (MedicineInsight database). The prevalence of diagnosed diabetes and diabetes screening was explored using all recorded diagnoses, laboratory results, and prescriptions between 2016 and 2018. Their relationship with patient sociodemographic and clinical characteristics was also investigated. Results Overall, 7.5% (95% CI 7.3, 7.8) of adults had diabetes diagnosis, 0.7% (95% CI 0.6, 0.7) prediabetes, and 0.3% (95% CI 0.3, 0.3) unrecorded diabetes/prediabetes (elevated glucose levels without a recorded diagnosis). Patients with unrecorded diabetes/prediabetes had clinical characteristics similar to those with recorded diabetes, except for a lower prevalence of overweight/obesity (55.5% and 69.9%, respectively). Dyslipidaemia was 1.8 times higher (36.2% vs. 19.7%), and hypertension was 15% more likely (38.6% vs. 33.8%) among patients with prediabetes than with diabetes. Diabetes screening (last three years) among people at high risk of diabetes was 55.2% (95% CI 52.7, 57.7), with lower rates among young or elderly males. Conclusions Unrecorded diabetes/prediabetes is infrequent in Australian general practice, but prediabetes diagnosis was also lower than expected. Diabetes screening among high-risk individuals can be improved, especially in men, to enhance earlier diabetes diagnosis and management.
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Affiliation(s)
- Mingyue Zheng
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia
- School of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Carla De Oliveira Bernardo
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia
| | - Nigel Stocks
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia
- Australian Partnership for Preparedness Research on Infectious Disease Emergencies (APPRISE) Centre of Research Excellence, NHMRC, Adelaide, Australia
- EMPOWER: Health Systems, Adversity and Child Well Being Centre of Research Excellence, NHMRC, Adelaide, Australia
| | - David Gonzalez-Chica
- Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, Australia
- Adelaide Rural Clinical School, The University of Adelaide, Adelaide, Australia
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Ogrin R, Aylen T, Thurgood L, Neoh SL, Audehm R, Steel P, Churilov L, Zajac J, Ekinci EI. Older People With Type 2 Diabetes-Individualising Management With a Specialised Community Team (OPTIMISE): Perspectives of Participants on Care. Clin Diabetes 2021; 39:397-410. [PMID: 34866781 PMCID: PMC8603327 DOI: 10.2337/cd20-0129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Despite the high prevalence of diabetes in older people, there is limited information on optimal methods to support their diabetes management, including how to incorporate technology. This article reports on the results of semi-structured interviews with 41 adult participants with type 2 diabetes (mean age 74 ± 7 years) on their perspectives of a new model of care (the Older People With Type 2 Diabetes-Individualising Management With a Specialised Community Team [OPTIMISE] program) for older people with type 2 diabetes. The OPTIMISE program involved telemedicine consultations, home visits by a credentialed diabetes educator, and intermittent flash glucose monitoring. Human connection and relationships were key to the positive perspectives expressed by participants in this program that used technology to enhance the care of older people in their homes.
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Affiliation(s)
- Rajna Ogrin
- Bolton Clarke, Forest Hill, Victoria, Australia
| | - Tracy Aylen
- Bolton Clarke, Forest Hill, Victoria, Australia
| | | | | | - Ralph Audehm
- Department of General Practice, University of Melbourne, Parkville, Victoria, Australia
| | - Paul Steel
- Bolton Clarke, Forest Hill, Victoria, Australia
| | - Leonid Churilov
- Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
| | - Jeffrey Zajac
- Department of General Practice, University of Melbourne, Parkville, Victoria, Australia
- Austin Health Clinical School, Department of Medicine, University of Melbourne, Heidelberg, Victoria, Australia
| | - Elif I. Ekinci
- Department of General Practice, University of Melbourne, Parkville, Victoria, Australia
- Austin Health Clinical School, Department of Medicine, University of Melbourne, Heidelberg, Victoria, Australia
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Heikkala E, Mikkola I, Jokelainen J, Timonen M, Hagnäs M. Multimorbidity and achievement of treatment goals among patients with type 2 diabetes: a primary care, real-world study. BMC Health Serv Res 2021; 21:964. [PMID: 34521389 PMCID: PMC8442281 DOI: 10.1186/s12913-021-06989-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Background Type 2 diabetes (T2D), with its prevalence and disability-causing nature, is a challenge for primary health care. Most patients with T2D are multimorbid, i.e. have one or more long-term diseases in addition to T2D. Multimorbidity may play a role in the achievement of T2D treatment targets, but is still not fully understood. The aims of the present cross-sectional, register-based study were to evaluate the prevalence and the most common patterns of multimorbidity among patients with T2D; and to study the potential associations between multimorbidity and treatment goal achievement, including measurements of glycosylated haemoglobin A1c (HbA1c), low-density lipoprotein (LDL) and systolic blood pressure (sBP). Methods The study population consisted of 4545 primary care patients who received a T2D diagnosis between January 2011 and July 2019 in Rovaniemi Health Centre, Finland. Data on seven long-term concordant (T2D-related) diseases, eight long-term discordant (non-T2D-related) diseases, potential confounders (age, sex, body mass index, prescribed medication), and the outcomes studied were collected from patients’ records. Logistic regression models with odds ratios (ORs) and 95 % confidence intervals (CIs) were assessed to determine the associations between multimorbidity and the achievement of treatment targets. Results Altogether, 93 % of the patients had one or more diseases in addition to T2D, i.e. were considered multimorbid. Furthermore, 21 % had only concordant disease(s) (Concordant subgroup), 8 % had only discordant disease(s) (Discordant subgroup) and 64 % had both (Concordant and discordant subgroup). As either single diseases or in combination with others, hypertension, musculoskeletal (MS) disease and hyperlipidaemia were the most prevalent multimorbidity patterns. Being multimorbid in general (OR 1.32, CI 1.01–1.70) and belonging to the Concordant (OR 1.45, CI 1.08–1.95) and Concordant and discordant (OR 1.31, CI 1.00–1.72) subgroups was associated with achievement of the HbA1c treatment target. Belonging to the Concordant and discordant subgroup was related to meeting the LDL treatment target (OR 1.31, CI 1.00–1.72). Conclusions Multimorbidity, including cardiovascular risk and the musculoskeletal disease burden, was extremely prevalent among the T2D patients who consulted primary health care. Primary care clinicians should survey the possible co-existence of long-term diseases among T2D patients to help maintain adequate treatment of T2D.
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Affiliation(s)
- Eveliina Heikkala
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland. .,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland. .,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland.
| | - Ilona Mikkola
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Maria Hagnäs
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
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