| 1. |
- Andréasson, Karin, et al.
(författare)
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Body mass index in adolescence, risk of type 2 diabetes and associated complications: A nationwide cohort study of men
- 2022
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Ingår i: EClinicalMedicine. - : Elsevier BV. - 2589-5370. ; 46
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Tidskriftsartikel (refereegranskat)abstract
- Background Obesity is a predominant factor in development of type 2 diabetes but to which extent adolescent obesity influences adult diabetes is unclear. We investigated the association between body mass index (BMI) in young men and subsequent type 2 diabetes and how, in diagnosed diabetes, adolescent BMI relates to glycemic control and diabetes complications. Methods Baseline data from the Swedish Conscript Register for men drafted 1968-2005 was combined with data from the National Diabetes and Patient registries. Diabetes risk was estimated through Cox regression and Kaplan-Meier survival estimates. Relationships between BMI, glycemic control and diabetes complications were assessed through multiple linear and logistic regression. Findings Among 1,647,826 men, 63,957 (3.88%) developed type 2 diabetes over a median follow-up of 29.0 years (IQR[21.0-37.0]). The risk of diabetes within 40 years after conscription was nearly 40% in individuals with adolescent BMI >= 35 kg/m(2). Compared to BMI 18.5-<20 kg/m(2) (reference), diabetes risk increased in a linear fashion from HR 1.18(95%CI 1.15-1.21) for BMI 20-<22.5 kg/m(2) to HR 15.93(95%CI 14.88-17.05) for BMI >= 35 kg/m(2), and a difference in age at onset of 11.4 years was seen. Among men who developed diabetes, higher adolescent BMI was associated with higher HbA1c levels and albuminuria rates. Interpretation Rising adolescent BMI was associated with increased risk of type 2 diabetes diagnosed at a younger age, with poorer metabolic control, and a greater prevalence of albuminuria, all suggestive of worse prognosis. Copyright (C) 2022 The Authors. Published by Elsevier Ltd.
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| 2. |
- Edqvist, Jon, et al.
(författare)
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BMI and Mortality in Patients With New-Onset Type 2 Diabetes: A Comparison With Age- and Sex-Matched Control Subjects From the General Population
- 2018
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Ingår i: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 41:3, s. 485-493
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Type 2 diabetes is strongly associated with obesity, but the mortality risk related to elevated body weight in people with type 2 diabetes compared with people without diabetes has not been established. RESEARCH DESIGN AND METHODS: We prospectively assessed short- and long-term mortality in people with type 2 diabetes with a recorded diabetes duration /=40 kg/m(2) compared with control subjects after multiple adjustments. Long-term, all weight categories showed increased mortality, with a nadir at BMI 25 to <30 kg/m(2) and a stepwise increase up to HR 2.00 (95% CI 1.58-2.54) among patients with BMI >/=40 kg/m(2), that was more pronounced in patients <65 years old. CONCLUSIONS: Our findings suggest that the apparent paradoxical findings in other studies in this area may have been affected by reverse causality. Long-term, overweight (BMI 25 to <30 kg/m(2)) patients with type 2 diabetes had low excess mortality risk compared with control subjects, whereas risk in those with BMI >/=40 kg/m(2) was substantially increased.
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| 3. |
- Edqvist, Jon, et al.
(författare)
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BMI, Mortality, and Cardiovascular Outcomes in Type 1 Diabetes: Findings Against an Obesity Paradox
- 2019
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 42:7, s. 1297-1304
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE Low weight has been associated with increased mortality risks in type 1 diabetes. We aimed to investigate the importance of weight and weight gain/loss in the Swedish population diagnosed with type 1 diabetes. RESEARCH DESIGN AND METHODS Patients with type 1 diabetes (n = 26,125; mean age 33.3 years; 45% women) registered in the Swedish National Diabetes Registry from 1998 to 2012 were followed from the first day of study entry. Cox regression was used to calculate risk of death from cardiovascular disease (CVD), major CVD events, hospitalizations for heart failure (HF), and total deaths. RESULTS Population mean BMI in patients with type 1 diabetes increased from 24.7 to 25.7 kg/m(2) from 1998 to 2012. Over a median follow-up of 10.9 years, there were 1,031 deaths (33.2% from CVD), 1,460 major CVD events, and 580 hospitalizations for HF. After exclusion of smokers, patients with poor metabolic control, and patients with a short follow-up time, there was no increased risk for mortality in those with BMI <25 kg/m(2), while BMI >25 kg/m(2) was associated with a minor increase in risk of mortality, major CVD, and HF. In women, associations with BMI were largely absent. Weight gain implied an increased risk of mortality and HF, while weight loss was not associated with higher risk. CONCLUSIONS Risk of major CVD, HF, CVD death, and mortality increased with increasing BMI, with associations more apparent in men than in women. After exclusion of factors associated with reverse causality, there was no evidence of an obesity paradox.
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| 4. |
- Edqvist, Jon, et al.
(författare)
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Contrasting Associations of Body Mass Index and Hemoglobin A1c on the Excess Risk of Acute Myocardial Infarction and Heart Failure in Type 2 Diabetes Mellitus.
- 2019
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Ingår i: Journal of the American Heart Association. - 2047-9980. ; 8:24
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Tidskriftsartikel (refereegranskat)abstract
- Background Body mass index (BMI) may be a stronger risk factor for heart failure than for coronary heart disease in type 2 diabetes mellitus, but prior studies have not been powered to investigate the relative and absolute risks for acute myocardial infarction and heart failure in type 2 diabetes mellitus by BMI and glycemic level combined as compared with age- and sex-matched general population comparators. Methods and Results We identified 181 045 patients from The Swedish National Diabetes Registry, registered during 1998 to 2012 and 1538 434 general population comparators without diabetes mellitus, matched for age, sex, and county, all without prior major cardiovascular disease. Cases and comparators were followed with respect to the outcomes through linkage to the Swedish Inpatient Registry. Over a median follow-up time of 5.7 years, there were 28 855 acute myocardial infarction and 33 060 heart failure cases among patients and comparators. Excess risk (above that of comparators in whom no data on hemoglobin A1c and BMI was available), incidence rates and hazard ratios for heart failure were substantially higher among the obese patients compared with those with low BMI, where very obese patients (BMI ≥40 kg/m2) who also had poor glycemic control, suffered a 7-fold risk of heart failure versus comparators (reference level). By contrast, for acute myocardial infarction, the highest absolute and relative risks were found among patients with poor glycemic control, with no additional risk conferred by increasing BMI. Conclusions BMI is a strong independent risk factor for heart failure but not for acute myocardial infarction among patients with type 2 diabetes mellitus.
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| 5. |
- Edqvist, Jon, et al.
(författare)
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Severe COVID-19 Infection in Type 1 and Type 2 Diabetes During the First Three Waves in Sweden.
- 2023
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Ingår i: Diabetes care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 46:3, s. 570-578
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Tidskriftsartikel (refereegranskat)abstract
- Type 2 diabetes is an established risk factor for hospitalization and death in COVID-19 infection, while findings with respect to type 1 diabetes have been diverging.Using nationwide health registries, we identified all patients aged ≥18 years with type 1 and type 2 diabetes in Sweden. Odds ratios (ORs) describe the general and age-specific risk of being hospitalized, need for intensive care, or dying, adjusted for age, socioeconomic factors, and coexisting conditions, compared with individuals without diabetes. Machine learning models were used to find predictors of outcomes among individuals with diabetes positive for COVID-19.Until 30 June 2021, we identified 365 (0.71%) and 11,684 (2.31%) hospitalizations in 51,402 and 504,337 patients with type 1 and 2 diabetes, respectively, with 67 (0.13%) and 2,848 (0.56%) requiring intensive care unit (ICU) care and 68 (0.13%) and 4,020 (0.80%) dying (vs 7,824,181 individuals without diabetes [41,810 hospitalizations (0.53%), 8,753 (0.11%) needing ICU care, and 10,160 (0.13%) deaths). Although those with type 1 diabetes had moderately raised odds of being hospitalized (multiple-adjusted OR 1.38 [95% CI 1.24-1.53]), there was no independent effect on ICU care or death (OR of 1.21 [95% CI 0.94-1.52] and 1.13 [95% CI 0.88-1.48], respectively). Age and socioeconomic factors were the dominating features for predicting hospitalization and death in both types of diabetes.Type 2 diabetes was associated with increased odds for all outcomes, whereas patients with type 1 diabetes had moderately increased odds of hospitalization but not ICU care and death.
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| 6. |
- Edqvist, Jon, et al.
(författare)
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Trajectories in HbA1c and other risk factors among adults with type 1 diabetes by age at onset
- 2021
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Ingår i: BMJ Open Diabetes Research and Care. - : BMJ. - 2052-4897. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- In type 1 diabetes, potential loss of life-years is greatest in those who are youngest at the time of onset. Using data from a nationwide cohort of patients with type 1 diabetes, we aimed to study risk factor trajectories by age at diagnosis. We stratified 30 005 patients with type 1 diabetes aged 18–75 years into categories based on age at onset: 0–10, 11–15, 16–20, 21–25, and 26–30 years. HbA1c, albuminuria, estimated glomerular filtration rate (eGFR), body mass index (BMI), low-denisty lipoprotein (LDL)-cholesterol, systolic blood pressure (SBP), and diastolic blood pressure trends were analyzed using mixed models. Variable importance for baseline HbA1c was analyzed using conditional random forest and gradient boosting machine approaches. Individuals aged ≥16 years at onset displayed a relatively low mean HbA1c level (~55–57 mmol/mol) that gradually increased. In contrast, individuals diagnosed at ≤15 years old entered adulthood with a mean HbA1c of approximately 70 mmol/mol. For all groups, HbA1c levels stabilized at a mean of approximately 65 mmol/mol by about 40 years old. In patients who were young at the time of onset, albuminuria appeared at an earlier age, suggesting a more rapid decrease in eGFR, while there were no distinct differences in BMI, SBP, and LDL-cholesterol trajectories between groups. Low education, higher age, and poor risk factor control were associated with higher HbA1c levels. Young age at the diabetes onset plays a substantial role in subsequent glycemic control and the presence of albuminuria, where patients with early onset may accrue a substantial glycemic load during this period. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
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| 7. |
- Lind, Mikael, et al.
(författare)
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Sea Traffic Management - Beneficial for all Maritime Stakeholders
- 2016
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Ingår i: Transportation Research Procedia. - : Elsevier BV. ; 14, s. 183-192
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Konferensbidrag (refereegranskat)abstract
- Sea Traffic Management is the idea of sharing information and collaborating to optimise the maritime transport chain while increasing safety and sustainability. The digital information on-board and on shore is abundant; however, the interconnection today is point-to-point and proprietary and stops the industry becoming more efficient. We will discuss how Sea Traffic Management will help the industry achieve improved predictability by introducing standards for key information and supplying an infrastructure for information exchange. This enables all actors involved in the transport to plan better and utilise their resources more efficiently. Shorter routes, just-in-time arrivals, shorter port calls are factors that will strengthen the competitiveness of the maritime sector. Improved situational awareness on the bridge and knowledge of planned routes will help optimised planning as well as reducing the number of incidents and accidents. The standard route exchange format submitted by the EU-financed MONALISA 2.0 project partners in 2014 is included in the current edition of the IEC standard, which was launched in August 2015. Solutions using that standard will start realising the benefits already next year. We will describe an infrastructure, which could work in a centralised manner but also has the flexibility to be organised in a more federative manner, similar to how the maritime world works in many aspects. Some key components are: a unique identifier for each voyage; that the information publisher controls who can access the data; that updated information should be made available in real-time; and that subscription to updated data will be the main trigger for many systems and processes. We will also describe the outcomes of the test beds in the MONALISA 2.0 project - The Sound: how shore and vessel can interact better in order improve safety in dense traffic areas; Port of Gothenburg and Port of Valencia - how collaborative decision making can improve operations for all involved actors; European Maritime Simulator Network - how new solutions can be tested in complex traffic situations and areas with real people on a large number of bridges, without risk. How large of an impact will all this have on the maritime transport industry? Based on a study from Linköping University, we believe that the number €1 billion/year in Europe due to shorter routes is only the tip of the benefit iceberg. In the study ship operators and society split the benefit 50/50. Ship operators save on fuel and other cost, society saves on reduced emissions, and other actors associated to maritime operations benefit from a higher degree of infrastructural use. We will also present results from other business cases developed during 2015, in which the benefits of Sea Traffic Management are elaborated on main stakeholders.
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| 8. |
- Rawshani, Aidin, 1991, et al.
(författare)
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Severe COVID-19 in people with type 1 and type 2 diabetes in Sweden : A nationwide retrospective cohort study
- 2021
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Ingår i: The Lancet Regional Health. - : Elsevier. - 2666-7762. ; 4
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Tidskriftsartikel (refereegranskat)abstract
- Background: Whether infection with SARS-CoV-2 leads to excess risk of requiring hospitalization or intensive care in persons with diabetes has not been reported, nor have risk factors in diabetes associated with increased risk for these outcomes. Methods: We included 44,639 and 411,976 adult patients with type 1 and type 2 diabetes alive on Jan 1, 2020, and compared them to controls matched for age, sex, and county of residence (n=204,919 and 1,948,900). Age- and sex-standardized rates for COVID-19 related hospitalizations, admissions to intensive care and death, were estimated and hazard ratios were calculated using Cox regression analyses. Findings: There were 10,486 hospitalizations and 1,416 admissions into intensive care. A total of 1,175 patients with diabetes and 1,820 matched controls died from COVID-19, of these 53.2% had been hospitalized and 10.7% had been in intensive care. Patients with type 2 diabetes, compared to controls, displayed an ageand sex-adjusted hazard ratio (HR) of 2.22, 95%CI 2.13-2.32) of being hospitalized for COVID-19, which decreased to HR 1.40, 95%CI 1.34-1.47) after further adjustment for sociodemographic factors, pharmacological treatment and comorbidities, had higher risk for admission to ICU due to COVID-19 (age- and sexadjusted HR 2.49, 95%CI 2.22-2.79, decreasing to 1.42, 95%CI 1.25-1.62 after adjustment, and increased risk for death due to COVID-19 (age- and sex-adjusted HR 2.19, 95%CI 2.03-2.36, complete adjustment 1.50, 95%CI 1.39-1.63). Age- and sex-adjusted HR for COVID-19 hospitalization for type 1 diabetes was 2.10, 95%CI 1.72-2.57), decreasing to 1.25, 95%CI 0.3097-1.62) after adjustment. Patients with diabetes type 1 were twice as likely to require intensive care for COVID-19, however, not after adjustment (HR 1.49, 95%CI 0.75-2.92), and more likely to die (HR 2.90, 95% CI 1.6554-5.47) from COVID-19, but not independently of other factors (HR 1.38, 95% CI 0.64-2.99). Among patients with diabetes, elevated glycated hemoglobin levels were associated with higher risk for most outcomes. Interpretation: In this nationwide study, type 2 diabetes was independently associated with increased risk of hospitalization, admission to intensive care and death for COVID-19. There were few admissions into intensive care and deaths in type 1 diabetes, and although hazards were significantly raised for all three outcomes, there was no independent risk persisting after adjustment for confounding factors. (C) 2021 The Authors. Published by Elsevier Ltd.
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| 9. |
- Rosengren, Annika, 1951, et al.
(författare)
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Excess risk of hospitalisation for heart failure among people with type 2 diabetes
- 2018
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Ingår i: Diabetologia. - : Springer Science and Business Media LLC. - 1432-0428 .- 0012-186X. ; 61:11, s. 2300-09
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Tidskriftsartikel (refereegranskat)abstract
- AIMS/HYPOTHESIS: Type 2 diabetes is an established risk factor for heart failure, but age-specific data are sparse. We aimed to determine excess risk of heart failure, based on age, glycaemic control and kidney function in comparison with age- and sex-matched control individuals from the general population. METHODS: Individuals with type 2 diabetes registered in the Swedish National Diabetes Registry 1998-2012 (n = 266,305) were compared with age-, sex- and county-matched control individuals without diabetes (n = 1,323,504), and followed over a median of 5.6 years until 31 December 2013. RESULTS: We identified 266,305 individuals with type 2 diabetes (mean age 62.0 years, 45.3% women) and 1,323,504 control individuals. Of the individuals with type 2 diabetes and control individuals, 18,715 (7.0%) and 50,157 (3.8%) were hospitalised with a diagnosis of heart failure, respectively. Comparing individuals with diabetes with those in the control group, men and women with type 2 diabetes who were younger than 55 years of age had HRs for hospitalisation for heart failure of 2.07 (95% CI 1.73, 2.48) and 4.59 (95% CI 3.50, 6.02), respectively, using analyses adjusted for socioeconomic variables and associated conditions. Younger age, poorer glycaemic control and deteriorating renal function were all associated with increased excess risk of heart failure in those with type 2 diabetes compared with the control group. However, people with diabetes who were >/=75 years and without albuminuria or with good glycaemic control (HbA1c
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| 10. |
- Ahlén, Elsa, 1990, et al.
(författare)
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Glycemic control, renal complications, and current smoking in relation to excess risk of mortality in persons with type 1 diabetes
- 2016
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Ingår i: Journal of Diabetes Science and Technology. - : SAGE Publications. - 1932-2968. ; 10:5, s. 1006-1014
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Tidskriftsartikel (refereegranskat)abstract
- Abstract Background: A substantial excess risk of mortality still exists in persons with type 1 diabetes. The aim of this study was to evaluate the excess risk of mortality in persons with type 1 diabetes without renal complications who target goals for glycemic control and are nonsmokers. Furthermore, we evaluated risk factors of death due to hypoglycemia or ketoacidosis in young adults with type 1 diabetes. Methods: We evaluated a cohort based on 33 915 persons with type 1 diabetes and 169 249 randomly selected controls from the general population matched on age, sex, and county followed over a mean of 8.0 and 8.3 years, respectively. Hazard ratios (HRs) for all-cause and cardiovascular disease (CVD) mortality for persons with type 1 diabetes versus controls were estimated. Results: The adjusted HRs for all-cause and CVD mortality for persons with type 1 diabetes without renal complications (normoalbuminuria and eGFR ≥ 60 ml/min) and HbA1c ≤ 6.9% (52 mmol/mol) compared to controls were 1.22 (95% CI 0.98-1.52) and 1.03 (95% CI 0.66-1.60), respectively. The HRs increased with higher updated mean HbA1c. For nonsmokers in this group, the HRs for all-cause and CVD mortality were somewhat lower: 1.11 (95% CI 0.87-1.42) and 0.89 (95% CI 0.53-1.48) at updated mean HbA1c ≤ 6.9% (52 mmol/mol). HRs for significant predictors for deaths due to hypoglycemia or ketoacidosis in persons < 50 years were male sex 2.40 (95% CI 1.27-4.52), smoking 2.86 (95% CI 1.57-5.22), lower educational level 3.01 (95% CI 1.26-7.22), albuminuria or advanced kidney disease 2.83 (95% CI 1.63-4.93), earlier hospital diagnosis of hypoglycemia or ketoacidosis 2.30 (95% CI 1.20-4.42), and earlier diagnosis of intoxication 2.53 (95% CI 1.06-6.04). Conclusions: If currently recommended HbA1c targets can be reached, renal complications and smoking avoided in persons with type 1 diabetes, the excess risk of mortality will likely converge substantially to that of the general population.
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