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  • 1.
    Borgström Bolmsjö, Beata
    et al.
    Lund University, Sweden.
    Molstad, Sigvard
    Lund University, Sweden.
    Gallagher, Martin
    University of Sydney, Australia.
    Chalmers, John
    University of Sydney, Australia.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Midlov, Patrik
    Lund University, Sweden.
    Risk factors and consequences of decreased kidney function in nursing home residents: A longitudinal study2017In: Geriatrics & Gerontology International, ISSN 1444-1586, E-ISSN 1447-0594, Vol. 17, no 5, p. 791-797Article in journal (Refereed)
    Abstract [en]

    Aim: The aim of the present study was to study the renal function and the relationship of deterioration in renal function with major outcomes in elderly nursing home residents. A second aim was to compare the internationally recommended formulae for estimated glomerular filtration rate (eGFR) consisting of both creatinine and cystatin C in a nursing home population. Methods: A total of 429 patients from 11 nursing homes were included during 2008-2011. GFR was estimated, from formulae based on both creatinine and cystatin C, at baseline and after 1 and 2 years. The patients were divided into groups based on chronic kidney disease level, and comparisons were made for mortality, morbidity, the use of medications and between the different formulae for eGFR. Results: Survival was lower in the groups with lower renal function. Over 60% of the residents had impaired renal function. Those with impaired renal function were older, had a higher number of medications and a higher prevalence of heart failure. Higher number of medications was associated with a greater risk of rapid decline in renal function with an odds ratio of 1.2 (95% confidence interval 1.06-1.36, P = 0.003). The compared eGFR formulae based on both cystatin C and creatinine were in excellent concordance with each other. Conclusions: Decreased renal function was associated with increased mortality. A majority of nursing home residents had declining renal function, which should be considered when prescribing medications. The more medications, the higher the risk for rapidly declining renal function.

  • 2.
    Figtree, Gemma A.
    et al.
    Royal North Shore Hosp, Australia; Univ Sydney, Australia; Univ New South Wales, Australia.
    Rådholm, Karin
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög. Univ New South Wales, Australia; Imperial Coll London, England.
    Neal, Bruce
    Univ New South Wales, Australia.
    Response by Figtree et al to Letter Regarding Article, "Canagliflozin and Heart Failure in Type 2 Diabetes Mellitus: Results From the CANVAS Program (Canagliflozin Cardiovascular Assessment Study)"2019In: Circulation, ISSN 0009-7322, E-ISSN 1524-4539, Vol. 139, no 3, p. 418-419Article in journal (Other academic)
    Abstract [en]

    n/a

  • 3.
    Jonasson, Hanna
    et al.
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Bergstrand, Sara
    Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering.
    Nyström, Fredrik H
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Endocrinology.
    Länne, Toste
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Thoracic and Vascular Surgery.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Bjarnegård, Niclas
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Fredriksson, Ingemar
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Perimed AB, Sweden.
    Larsson, Marcus
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Strömberg, Tomas
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Skin microvascular endothelial dysfunction is associated with type 2 diabetes independently of microalbuminuria and arterial stiffness2017In: Diabetes & Vascular Disease Research, ISSN 1479-1641, E-ISSN 1752-8984, Vol. 14, no 4, p. 363-371, article id UNSP 1479164117707706Article in journal (Refereed)
    Abstract [en]

    Skin and kidney microvascular functions may be affected independently in diabetes mellitus. We investigated skin microcirculatory function in 79 subjects with diabetes type 2, where 41 had microalbuminuria and 38 not, and in 41 age-matched controls. The oxygen saturation, fraction of red blood cells and speed-resolved microcirculatory perfusion (% red blood cells x mm/s) divided into three speed regions: 0-1, 1-10 and above 10 mm/s, were assessed during baseline and after local heating of the foot with a new device integrating diffuse reflectance spectroscopy and laser Doppler flowmetry. Arterial stiffness was assessed as carotid-femoral pulse wave velocity. Subjects with diabetes and microalbuminuria had significantly higher carotid-femoral pulse wave velocity compared to subjects without microalbuminuria and to controls. The perfusion for speeds 0-1 mm/s and red blood cell tissue fraction were reduced in subjects with diabetes at baseline and after heating, independent of microalbuminuria. These parameters were correlated to HbA1c. In conclusion, the reduced nutritive perfusion and red blood cell tissue fraction in type 2 diabetes were related to long-term glucose control but independent of microvascular changes in the kidneys and large-vessel stiffness. This may be due to different pathogenic pathways in the development of nephropathy, large-vessel stiffness and cutaneous microvascular impairment.

  • 4.
    Jonasson, Hanna
    et al.
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Fredriksson, Ingemar
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Perimed AB, Järfälla, Stockholm, Sweden.
    Bergstrand, Sara
    Linköping University, Department of Medical and Health Sciences, Division of Nursing Science. Linköping University, Faculty of Medicine and Health Sciences.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Larsson, Marcus
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Strömberg, Tomas
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    In vivo characterization of light scattering properties of human skin in the 475- to 850-nm wavelength range in a Swedish cohort2018In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 23, no 12, article id 121608Article in journal (Refereed)
    Abstract [en]

    We have determined in vivo optical scattering properties of normal human skin in 1734 subjects, mostly with fair skin type, within the Swedish CArdioPulmonary bioImage Study. The measurements were performed with a noninvasive system, integrating spatially resolved diffuse reflectance spectroscopy and laser Doppler flowmetry. Data were analyzed with an inverse Monte Carlo algorithm, accounting for both scattering, geometrical, and absorbing properties of the tissue. The reduced scattering coefficient was found to decrease from 3.16 ± 0.72 to 1.13 ± 0.27 mm-1 (mean ± SD) in the 475- to 850-nm wavelength range. There was a negative correlation between the reduced scattering coefficient and age, and a significant difference between men and women in the reduced scattering coefficient as well as in the fraction of small scattering particles. This large study on tissue scattering with mean values and normal variation can serve as a reference when designing diagnostic techniques or when evaluating the effect of therapeutic optical systems.

  • 5.
    Jones, Alexandra
    et al.
    George Inst Global Hlth, Australia; Univ Sydney, Australia.
    Rådholm, Karin
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög. George Inst Global Hlth, Australia.
    Neal, Bruce
    George Inst Global Hlth, Australia; Univ Sydney, Australia; Imperial Coll London, England.
    Defining Unhealthy: A Systematic Analysis of Alignment between the Australian Dietary Guidelines and the Health Star Rating System2018In: Nutrients, ISSN 2072-6643, E-ISSN 2072-6643, Vol. 10, no 4, article id 501Article in journal (Refereed)
    Abstract [en]

    The Australian Dietary Guidelines (ADGs) and Health Star Rating (HSR) front-of-pack labelling system are two national interventions to promote healthier diets. Our aim was to assess the degree of alignment between the two policies. Methods: Nutrition information was extracted for 65,660 packaged foods available in The George Institutes Australian FoodSwitch database. Products were classified core or discretionary based on the ADGs, and a HSR generated irrespective of whether currently displayed on pack. Apparent outliers were identified as those products classified core that received HSR amp;lt;= 2.0; and those classified discretionary that received HSR amp;gt;= 3.5. Nutrient cut-offs were applied to determine whether apparent outliers were high in salt, total sugar or saturated fat, and outlier status thereby attributed to a failure of the ADGs or HSR algorithm. Results: 47,116 products (23,460 core; 23,656 discretionary) were included. Median (Q1, Q3) HSRs were 4.0 (3.0 to 4.5) for core and 2.0 (1.0 to 3.0) for discretionary products. Overall alignment was good: 86.6% of products received a HSR aligned with their ADG classification. Among 6324 products identified as apparent outliers, 5246 (83.0%) were ultimately determined to be ADG failures, largely caused by challenges in defining foods as core or discretionary. In total, 1078 (17.0%) were determined to be true failures of the HSR algorithm. Conclusion: The scope of genuine misalignment between the ADGs and HSR algorithm is very small. We provide evidence-informed recommendations for strengthening both policies to more effectively guide Australians towards healthier choices.

  • 6.
    Kalkan, Almina
    et al.
    AstraZeneca Nordic Balt, Sweden.
    Bodegård, Johan
    AstraZeneca Nordic Balt, Sweden.
    Sundstrom, Johan
    Uppsala University, Sweden.
    Svennblad, Bodil
    Uppsala University, Sweden.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Nilsson Nilsson, Peter
    Lund University, Sweden.
    Johansson, Gunnar
    Uppsala University, Sweden.
    Ekman, Manias
    AstraZeneca Nordic Balt, Sweden.
    Increased healthcare utilization costs following initiation of insulin treatment in type 2 diabetes: A long-term follow-up in clinical practice2017In: Primary Care Diabetes, ISSN 1751-9918, E-ISSN 1878-0210, Vol. 11, no 2, p. 184-192Article in journal (Refereed)
    Abstract [en]

    Aims: To compare long-term changes in healthcare utilization and costs for type 2 diabetes patients before and after insulin initiation, as well as healthcare costs after insulin versus non-insulin anti-diabetic (NIAD) initiation. Methods: Patients newly initiated on insulin (n = 2823) were identified in primary health care records from 84 Swedish primary care centers, between 1999 to 2009. First, healthcare costs per patient were evaluated for primary care, hospitalizations and secondary outpatient care, before and up to seven years after insulin initiation. Second, patients prescribed insulin in second line were matched to patients prescribed NIAD in second line, and the healthcare costs of the matched groups were compared. Results: The total mean annual healthcare cost increased from 1656 per patient 2 years before insulin initiation to 3814 seven years after insulin initiation. The total cumulative mean healthcare cost per patient at year 5 after second-line treatment was 13,823 in the insulin group compared to 9989 in the NIAD group. Conclusions: Initiation of insulin in type 2 diabetes patients was followed by increased healthcare costs. The increases in costs were larger than those seen in a matched patient population initiated on NIAD treatment in second-line. (C) 2016 The Author(s). Published by Elsevier Ltd on behalf of Primary Care Diabetes Europe. This is an open access article under the CC BY-NC-ND license.

  • 7.
    Nowak, Christoph
    et al.
    Karolinska Inst, Sweden.
    Carlsson, Axel C.
    Karolinska Inst, Sweden; Uppsala Univ, Sweden.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, "Primary Health Care in Motala". Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Nyström, Fredrik
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Endocrinology.
    Alam, Moudud
    Dalarna Univ, Sweden.
    Feldreich, Tobias
    Dalarna Univ, Sweden.
    Sundstrom, Johan
    Uppsala Univ, Sweden.
    Carrero, Juan-Jesus
    Karolinska Inst, Sweden.
    Leppert, Jerzy
    Uppsala Univ, Sweden.
    Hedberg, Par
    Uppsala Univ, Sweden.
    Henriksen, Egil
    Uppsala Univ, Sweden.
    Cordeiro, Antonio C.
    Dante Pazzanese Inst Cardiol, Brazil.
    Giedraitis, Vilmantas
    Uppsala Univ, Sweden.
    Lind, Lars
    Uppsala Univ, Sweden.
    Ingelsson, Erik
    Stanford Univ, CA 94305 USA.
    Fall, Tove
    Uppsala Univ, Sweden.
    Arnlov, Johan
    Karolinska Inst, Sweden; Dalarna Univ, Sweden.
    Multiplex proteomics for prediction of major cardiovascular events in type 2 diabetes2018In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 61, no 8, p. 1748-1757Article in journal (Refereed)
    Abstract [en]

    Aims/hypothesis Multiplex proteomics could improve understanding and risk prediction of major adverse cardiovascular events (MACE) in type 2 diabetes. This study assessed 80 cardiovascular and inflammatory proteins for biomarker discovery and prediction of MACE in type 2 diabetes. Methods We combined data from six prospective epidemiological studies of 30-77-year-old individuals with type 2 diabetes in whom 80 circulating proteins were measured by proximity extension assay. Multivariable-adjusted Cox regression was used in a discovery/replication design to identify biomarkers for incident MACE. We used gradient-boosted machine learning and lasso regularised Cox regression in a random 75% training subsample to assess whether adding proteins to risk factors included in the Swedish National Diabetes Register risk model would improve the prediction of MACE in the separate 25% test subsample. Results Of 1211 adults with type 2 diabetes (32% women), 211 experienced a MACE over a mean (+/- SD) of 6.4 +/- 2.3 years. We replicated associations (amp;lt; 5% false discovery rate) between risk of MACE and eight proteins: matrix metalloproteinase (MMP)-12, IL-27 subunit alpha (IL-27a), kidney injury molecule (KIM)-1, fibroblast growth factor (FGF)-23, protein S100-A12, TNF receptor (TNFR)-1, TNFR-2 and TNF-related apoptosis-inducing ligand receptor (TRAIL-R)2. Addition of the 80-protein assay to established risk factors improved discrimination in the separate test sample from 0.686 (95% CI 0.682, 0.689) to 0.748 (95% CI 0.746, 0.751). A sparse model of 20 added proteins achieved a C statistic of 0.747 (95% CI 0.653, 0.842) in the test sample. Conclusions/interpretation We identified eight protein biomarkers, four of which are novel, for risk of MACE in community residents with type 2 diabetes, and found improved risk prediction by combining multiplex proteomics with an established risk model. Multiprotein arrays could be useful in identifying individuals with type 2 diabetes who are at highest risk of a cardiovascular event.

  • 8.
    Rådholm, Karin
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, "Primary Health Care in Motala".
    Tengblad, Anders
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, "Primary Health Care in Motala".
    Dahlén, Elsa
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, "Primary Health Care in Motala".
    Länne, Toste
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Thoracic and Vascular Surgery.
    Engvall, Jan
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Nyström, Fredrik H
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Endocrinology.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    The impact of using sagittal abdominal diameter to predict major cardiovascular events in European patients with type 2 diabetes2017In: NMCD. Nutrition Metabolism and Cardiovascular Diseases, ISSN 0939-4753, E-ISSN 1590-3729, Vol. 27, no 5, p. 418-422Article in journal (Refereed)
    Abstract [en]

    Background and aims: Obesity is associated with diabetes type 2 and one of the most important risk factors for cardiovascular disease. We explored if sagittal abdominal diameter (SAD) is a better predictor of major cardiovascular events than waist circumference (WC) and body mass index (BMI) in type 2 diabetes. Methods and results: The CARDIPP study consists of a cohort of patients with type 2 diabetes. In this study we used data from 635 participants with no previous myocardial infarction or stroke, with a mean follow-up time of 7.1 years. SAD, WC and BMI were measured at baseline and the end-point was first cardiovascular event, measured as a composite of ICD-10 codes for acute myocardial infarction, stroke or cardiovascular mortality. SAD was significantly higher in the major cardiovascular event group compared to participants that did not suffer a major cardiovascular event during follow-up (p amp;lt; 0.001). SAD amp;gt; 25 cm was the only anthropometric measurement that remained associated with major cardiovascular events when adjusted for modifiable and non-modifiable factors (hazard ratio 2.81, 95% confidence interval 1.37-5.76, p = 0.005). Conclusion: SAD with the cut off level of amp;gt; 25 cm, if confirmed in larger studies, may be used as a more independent risk-assessment tool compared with WC in clinical practice, to identify persons with type 2 diabetes at high cardiovascular risk. (C) 2017 The Italian Society of Diabetology, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition, and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

  • 9.
    Rådholm, Karin
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög. Univ New South Wales, Australia.
    Chalmers, John
    Univ New South Wales, Australia.
    Ohkuma, Toshiaki
    Univ New South Wales, Australia; Kyushu Univ, Japan.
    Peters, Sanne
    Univ Oxford, England.
    Poulter, Neil
    Imperial Coll, England.
    Hamet, Pavel
    Univ Montreal, Canada.
    Harrap, Stephen
    Univ Melbourne, Australia; Royal Melbourne Hosp, Australia.
    Woodward, Mark
    Univ New South Wales, Australia; Univ Oxford, England; Johns Hopkins Univ, MD USA.
    Use of the waist-to-height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE-ON study2018In: Diabetes, obesity and metabolism, ISSN 1462-8902, E-ISSN 1463-1326, Vol. 20, no 8, p. 1903-1910Article in journal (Refereed)
    Abstract [en]

    Aims Patients with type 2 diabetes have a high risk of cardiovascular disease (CVD). Central obesity has been particularly associated with this risk relationship. We aimed to evaluate waist to height ratio (WHtR) as a predictor of risk in such patients. Methods WHtR was evaluated as a predictor of the risk of CVD and mortality amongst 11125 participants with type 2 diabetes in the ADVANCE and ADVANCE-ON studies, and was compared with body mass index (BMI), waist circumference and waist hip ratio (WHR). Primary outcome was a composite of death from CVD, non-fatal myocardial infarction or non-fatal stroke. Secondary outcomes were myocardial infarction, stroke, cardiovascular death and death from any cause. Cox models were used, with bootstrapping to compare associations between anthropometric measures for the primary outcome. Results Median follow-up time was 9.0 years. There was a positive association between WHtR and adverse outcomes. The hazard ratio (HR) (confidence interval), per SD higher WHtR, was 1.16 (1.11-1.22) for the primary endpoint, with no heterogeneity by sex or region, but a stronger effect in individuals aged 66 years or older. The other 3 anthropometric measurements showed similar associations, although there was evidence that WHtR marginally outperformed BMI and WHR. Based on commonly used BMI cut-points, the equivalent WHtR cut-points were estimated to be 0.55 and 0.6, with no evidence of a difference across subgroups. Conclusions In patients with diabetes, WHtR is a useful indicator of future adverse risk, with similar effects in different population subgroups.

  • 10.
    Sabale, Ugne
    et al.
    AstraZeneca Nordic Balt, Sweden.
    Bodegard, Johan
    AstraZeneca Nordic Balt, Sweden.
    Svennblad, Bodil
    Uppsala University, Sweden.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Johansson, Gunnar
    Uppsala University, Sweden.
    Ekman, Mattias
    AstraZeneca Nordic Balt, Sweden.
    Henriksson, Martin
    Linköping University, Department of Medical and Health Sciences, Division of Health Care Analysis. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Nilsson, Peter
    Lund University, Sweden.
    Weight change patterns and healthcare costs in patients with newly-diagnosed type-2 diabetes in Sweden2017In: Primary Care Diabetes, ISSN 1751-9918, E-ISSN 1878-0210, Vol. 11, no 3, p. 217-225Article in journal (Refereed)
    Abstract [en]

    Aims: To describe weight-change pathways in patients with type 2 diabetes (T2D) and associated healthcare costs using repeated BMI measurements and healthcare utilization data. Methods: Patients with newly-diagnosed T2D with body mass index (BMI, kg/m(2)) at diagnosis and subsequent measures at year 1-3 were identified. Based on three-year BMI change, patients were assigned to one of 27 BMI change pathways defined by annual BMI change: BMI NE arrow (amp;gt;= 1 BMI unit increase), BMI -amp;gt; (amp;lt;1 BMI unit change), and BMI SE arrow (amp;gt;= 1 BMI unit decrease). Mean annual and three-year cumulative healthcare costs were estimated for each pathway by combining Swedish unit costs with resource use from primary care and national patient registers. Results: Cohort consisted of 15,819 patients; 44% women, mean age of 61 years, HbA1c of 6.7% (50 mmol/mol), BMI of 30.6 kg/m(2). Most common BMI pathways (mean costs): BMI -amp;gt;-amp;gt;-amp;gt; ((sic)5,311), BMI SE arrow -amp;gt;-amp;gt;((sic)5,461), and BMI -amp;gt;-amp;gt;SE arrow((sic)6,281). General trends: BMI)-amp;gt;-amp;gt;-amp;gt; linked to lowest, BMI NE arrow -amp;gt;NE arrow linked to highest costs. Conclusion: In patients with newly -diagnosed T2D, weight stability was the most common BMI change pattern over 3 years and associated with lowest healthcare costs. Relationship between weight change and healthcare costs appears complex warranting further investigation. (C) 2017 The Authors. Published by Elsevier Ltd on behalf of Primary Care Diabetes Europe.

  • 11.
    Samefors, Maria
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Scragg, R.
    University of Auckland, New Zealand.
    Länne, Toste
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Thoracic and Vascular Surgery.
    Nyström, Fredrik H
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Endocrinology.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Association between serum 25(OH)D-3 and cardiovascular morbidity and mortality in people with Type 2 diabetes: a community-based cohort study2017In: Diabetic Medicine, ISSN 0742-3071, E-ISSN 1464-5491, Vol. 34, no 3, p. 372-379Article in journal (Refereed)
    Abstract [en]

    Aim We aimed to explore the association between vitamin D and cardiovascular morbidity and mortality in people with Type 2 diabetes recruited from a community-based study because there is limited and inconsistent research of this group. Methods A prospective community-based cohort study among people aged 55-66 years with Type 2 diabetes as part of The Cardiovascular Risk in Type 2 Diabetes -A Prospective Study in Primary Care (CARDIPP). We analysed serum 25-hydroxyvitamin D-3 [25(OH)D-3] at baseline. Cox regression analyses were used to calculate hazard ratios (HR) for the first myocardial infarction, stroke or cardiovascular mortality according to 25(OH)D-3. Results We examined 698 people with a mean follow-up of 7.3 years. Serum 25(OH)D-3 was inversely associated with the risk of cardiovascular morbidity and mortality: HR 0.98 [95% confidence interval (CI) 0.96 to 0.99, P = 0.001]. Compared with the fourth quartile (Q4) [25(OH)D-3 amp;gt; 61.8 nmol/l], HR (with 95% CI) was 3.46 (1.60 to 7.47) in Q1 [25(OH)D-3 amp;lt; 35.5 nmol/l] (P = 0.002); 2.26 (1.01 to 5.06) in Q2 [25(OH)D-3 35.5-47.5 nmol/l] (P = 0.047); and 1.62 (0.70 to 3.76) in Q3 [25(OH)D-3 47.5-61.8 nmol/l] (P = 0.26) when adjusting for age, sex and season. The results remained significant after adjusting also for cardiovascular risk factors, physiological variables including parathyroid hormone and previous cardiovascular disease (P = 0.027). Conclusions Low 25(OH)D-3 is associated with an increased risk of cardiovascular morbidity and mortality in people with Type 2 diabetes independent of parathyroid hormone. Vitamin D could be considered as a prognostic factor. Future studies are needed to explore whether vitamin D deficiency is a modifiable risk factor in Type 2 diabetes.

  • 12.
    Westerlind, Björn
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Department of Geriatrics, County Hospital Ryhov, Jönköping, Sweden.
    Östgren, Carl Johan
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Ödeshög.
    Mölstad, Sigvard
    Department of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden.
    Midlöv, Patrik
    Department of Clinical Sciences in Malmö, Center for Primary Health Care Research, Lund University, Malmö, Sweden.
    Hägg, Staffan
    Linköping University, Department of Medical and Health Sciences, Division of Drug Research. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Clinical Pharmacology. Futurum, Jönköping, Sweden.
    Use of non-benzodiazepine hypnotics is associated with falls in nursing home residents: a longitudinal cohort study2018In: Aging Clinical and Experimental Research, ISSN 1594-0667, E-ISSN 1720-8319, p. 1-9Article in journal (Refereed)
    Abstract [en]

    Background

    Falls and related injuries are common among older people, and several drug classes are considered to increase fall risk.

    Aims

    This study aimed to investigate the association between the use of certain drug classes and falls in older nursing home residents in Sweden, and relate these to different age groups.

    Methods

    Information on falls that occurred in the previous year and regular use of possible fall risk drugs including non-benzodiazepine hypnotics (zopiclone and zolpidem) was collected from 331 nursing home residents during 2008–2011. Over the following 6 months, the occurrence of serious falls, requiring a physician visit or hospital care, was registered. Association between serious falls and drug use was compared between an older (≥ 85 years) and a younger group.

    Results

    An increased fall risk (Downton Fall Risk Index ≥ 3) was found in 93% of the study subjects (aged 65–101 years). Baseline data indicated an association between falls that occurred in the previous year and regular use of non-benzodiazepine hypnotics (p = 0.005), but not with the other studied drug classes. During the following 6 months, an association between use of non-benzodiazepine hypnotics and serious falls in the older group (p = 0.017, odds ratio 4.311) was found. No association was found between the other studied drug classes and serious falls.

    Discussion

    These results indicate an association between falls and the use of non-benzodiazepine hypnotics, compounds that previously have been considered generally well-tolerated in older people.

    Conclusions

    Caution is advocated when using non-benzodiazepine hypnotics regularly in older people living in nursing homes.

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