A national observation study of cancer incidence and mortality risks in type 2 diabetes compared to the background population over time

We examined changing patterns in cancer incidence and deaths in diabetes compared to the background population. A total of 457,473 patients with type 2 diabetes, included between 1998 and 2014, were matched on age, sex, and county to five controls from the population. Incidence, trends in incidence and post-cancer mortality for cancer were estimated with Cox regression and standardised incidence rates. Causes of death were estimated using logistic regression. Relative importance of risk factors was estimated using Heller’s relative importance model. Type 2 diabetes had a higher risk for all cancer, HR 1.10 (95% CI 1.09–1.12), with highest HRs for liver (3.31), pancreas (2.19) and uterine cancer (1.78). There were lesser increases in risk for breast (1.05) and colorectal cancers (1.20). Type 2 diabetes patients experienced a higher HR 1.23 (1.21–1.25) of overall post-cancer mortality and mortality from prostate, breast, and colorectal cancers. By the year 2030 cancer could become the most common cause of death in type 2 diabetes. Persons with type 2 diabetes are at greater risk of developing cancer and lower chance of surviving it. Notably, hazards for specific cancers (e.g. liver, pancreas) in type 2 patients cannot be explained by obesity alone

Age at diagnosis of type 2 diabetes mellitus and associations with cardiovascular and mortality risks findings from the Swedish National Diabetes Registry

Background: Risk of cardiovascular disease (CVD) and mortality for patients with versus without type 2 diabetes mellitus (T2DM) appears to vary by the age at T2DM diagnosis, but few population studies have analyzed mortality and CVD outcomes associations across the full age range. Methods: With use of the Swedish National Diabetes Registry, everyone with T2DM registered in the Registry between 1998 and 2012 was included. Controls were randomly selected from the general population matched for age, sex, and county. The analysis cohort comprised 318083 patients with T2DM matched with just <1.6 million controls. Participants were followed from 1998 to 2013 for CVD outcomes and to 2014 for mortality. Outcomes of interest were total mortality, cardiovascular mortality, noncardiovascular mortality, coronary heart disease, acute myocardial infarction, stroke, heart failure, and atrial fibrillation. We also examined life expectancy by age at diagnosis. We conducted the primary analyses using Cox proportional hazards models in those with no previous CVD and repeated the work in the entire cohort. Results: Over a median follow-up period of 5.63 years, patients with T2DM diagnosed at ≤40 years had the highest excess risk for most outcomes relative to controls with adjusted hazard ratio (95% CI) of 2.05 (1.81–2.33) for total mortality, 2.72 (2.13–3.48) for cardiovascularrelated mortality, 1.95 (1.68–2.25) for noncardiovascular mortality, 4.77 (3.86–5.89) for heart failure, and 4.33 (3.82–4.91) for coronary heart disease. All risks attenuated progressively with each increasing decade at diagnostic age; by the time T2DM was diagnosed at >80 years, the adjusted hazard ratios for CVD and non-CVD mortality were <1, with excess risks for other CVD outcomes substantially attenuated. Moreover, survival in those diagnosed beyond 80 was the same as controls, whereas it was more than a decade less when T2DM was diagnosed in adolescence. Finally, hazard ratios for most outcomes were numerically greater in younger women with T2DM. Conclusions: Age at diagnosis of T2DM is prognostically important for survival and cardiovascular risks, with implications for determining the timing and intensity of risk factor interventions for clinical decision making and for guideline-directed care. These observations amplify support for preventing/delaying T2DM onset in younger individuals

BMI and mortality in patients with new-onset type 2 diabetes: a comparison with age- and sex-matched control subjects from the general population

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 ≤5 years identified from the Swedish National Diabetes Registry between 1998 and 2012 and five age- and sex-matched control subjects per study participant from the general population. Results: Over a median follow-up of 5.5 years, there were 17,546 deaths among 149,345 patients with type 2 diabetes (mean age 59.6 years [40% women]) and 68,429 deaths among 743,907 matched control subjects. Short-term all-cause mortality risk (≤5 years) displayed a U-shaped relationship with BMI, with hazard ratios (HRs) ranging from 0.81 (95% CI 0.75-0.88) among patients with diabetes and BMI 30 to <35 kg/m2 to 1.37 (95% CI 1.11-1.71) with BMI ≥40 kg/m2 compared with control subjects after multiple adjustments. Long-term, all weight categories showed increased mortality, with a nadir at BMI 25 to <30 kg/m2 and a stepwise increase up to HR 2.00 (95% CI 1.58-2.54) among patients with BMI ≥40 kg/m2, 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/m2) patients with type 2 diabetes had low excess mortality risk compared with control subjects, whereas risk in those with BMI ≥40 kg/m2 was substantially increased

Range of risk factor levels: control, mortality and cardiovascular outcomes in type 1 diabetes mellitus

Background—Individuals with type 1 diabetes have high risk of cardiovascular complications, but it is unknown to what extent fulfilling all cardiovascular treatment goals is associated with residual risk of mortality and cardiovascular outcomes in type 1 diabetes compared with the general population. Methods—We included all patients with type 1 diabetes aged >=18 years registered in the Swedish National Diabetes Register from January 1, 1998 - December 31, 2014, in all 33,333 patients, each matched for age and sex with 5 controls without diabetes randomly selected from the population. Patients with type 1 diabetes were categorized according to number of risk factors not at target: glycated hemoglobin, blood pressure, albuminuria, smoking and LDL cholesterol. Risk of all-cause mortality, acute myocardial infarction (AMI), heart failure hospitalization (HF) and stroke was examined in relation to the number of risk factors at target.Results—The mean follow-up was 10.4 years in the diabetes group. Overall, 2074 of 33,333 patients with diabetes and 4141 of 166,529 controls died. Risk for all outcomes increased stepwise for each additional risk factor not at target. Adjusted hazard ratios (HR) for patients achieving all risk factor targets compared with controls were 1.31 (95% CI 0.93-1.85) for all-cause mortality; 1.82 (95% CI 1.15-2.88) for AMI; 1.97 (95% CI 1.04-3.73) for HF; and 1.17 (95% CI 0.51-2.68) for stroke. HR for patients versus controls with none of the risk factors meeting target was 7.33 (95% CI 5.08-10.57) for all-cause mortality; 12.34 (95% CI 7.91-19.48) for AMI: 15.09 (95% CI 9.87-23.09) for HF; and 12.02 (95% CI 7.66-18.85) for stroke.Conclusions—A steep graded association exists between decreasing number of CV risk factors at target and major adverse CV outcomes among patients with T1DM. However, risks for all outcomes were numerically higher for T1DM patients compared with controls, even when all risk factors were at target, with risk for AMI and HF statistically significantly so

Short-term progression of cardiometabolic risk factors in relation to age at type 2 diabetes diagnosis: a longitudinal observational study of 100,606 individuals from the Swedish National Diabetes Register

Aims/hypothesis: The reasons underlying a greater association of premature mortality with early-onset type 2 diabetes relative to late-onset disease are unclear. We evaluated the clinical characteristics at type 2 diabetes diagnosis and the broad trajectories in cardiometabolic risk factors over the initial years following diagnosis in relation to age at diagnosis. Methods: Our cohort consisted of 100,606 individuals with newly diagnosed type 2 diabetes enrolled in the Swedish National Diabetes Register from 2002 to 2012. The average follow-up time was 2.8 years. Analyses were performed using a linear mixedeffects model for continuous risk factors and a mixed generalised linear model with a logistic link function for dichotomous risk factors. Results: The individuals diagnosed at the youngest age (18–44 years) were more often male and had the highest BMI (mean of 33.4 kg/m2 ) at diagnosis and during follow-up compared with all other groups (those diagnosed at 45–59 years, 60–74 years and ≥75 years; p < 0.05), being ~5 kg/m2 higher than the oldest group. Although HbA1c patterns were similar between all age groups, there was a difference of about 5 mmol/mol (0.45%) between the two groups at 8 years post-diagnosis (p < 0.05). Additionally, individuals diagnosed younger had ~0.7 mmol/l higher triacylglycerol, and ~0.2 mmol/l lower HDL-cholesterol levels at diagnosis relative to the oldest group. Such differences continued for several years post diagnosis. Yet, although more of these younger individuals were receiving oral glucose-lowering agents, other cardioprotective therapies were prescribed less often in this group. Differences in BMI, blood glucose and lipid levels remained with adjustment for potential confounders, including marital status, education and country of birth, and, where relevant, differential treatments by age, and in those with at least 5 years of follow-up. Conclusions/interpretation: Individuals who develop type 2 diabetes at a younger age are more frequently obese, display a more adverse lipid profile, have higher HbA1c and a faster deterioration in glycaemic control compared with individuals who develop diabetes later in life. These differences largely remain for several years after diagnosis and support the notion that early-onset type 2 diabetes may be a more pathogenic condition than late-onset disease

Risk factors, mortality, and cardiovascular outcomes in patients with type 2 diabetes

Background: Patients with diabetes are at higher risk for death and cardiovascular outcomes than the general population. We investigated whether the excess risk of death and cardiovascular events among patients with type 2 diabetes could be reduced or eliminated. Methods: In a cohort study, we included 271,174 patients with type 2 diabetes who were registered in the Swedish National Diabetes Register and matched them with 1,355,870 controls on the basis of age, sex, and county. We assessed patients with diabetes according to age categories and according to the presence of five risk factors (elevated glycated hemoglobin level, elevated low-density lipoprotein cholesterol level, albuminuria, smoking, and elevated blood pressure). Cox regression was used to study the excess risk of outcomes (death, acute myocardial infarction, stroke, and hospitalization for heart failure) associated with smoking and the number of variables outside target ranges. We also examined the relationship between various risk factors and cardiovascular outcomes. Results: The median follow-up among all the study participants was 5.7 years, during which 175,345 deaths occurred. Among patients with type 2 diabetes, the excess risk of outcomes decreased stepwise for each risk-factor variable within the target range. Among patients with diabetes who had all five variables within target ranges, the hazard ratio for death from any cause, as compared with controls, was 1.06 (95% confidence interval [CI], 1.00 to 1.12), the hazard ratio for acute myocardial infarction was 0.84 (95% CI, 0.75 to 0.93), and the hazard ratio for stroke was 0.95 (95% CI, 0.84 to 1.07). The risk of hospitalization for heart failure was consistently higher among patients with diabetes than among controls (hazard ratio, 1.45; 95% CI, 1.34 to 1.57). In patients with type 2 diabetes, a glycated hemoglobin level outside the target range was the strongest predictor of stroke and acute myocardial infarction; smoking was the strongest predictor of death. Conclusions: Patients with type 2 diabetes who had five risk-factor variables within the target ranges appeared to have little or no excess risk of death, myocardial infarction, or stroke, as compared with the general population. (Funded by the Swedish Association of Local Authorities and Regions and others.)

Severe COVID-19 in people with type 1 and type 2 diabetes in Sweden: a nationwide retrospective cohort study

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 age- and 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 sex-adjusted 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

Inequalities in income and education are associated with survival differences after out-of-hospital cardiac arrest : nationwide observational study

Published online: 12 November 2021Background: Despite the acknowledged importance of socioeconomic factors as regards cardiovascular disease onset and survival, the relationship between individual-level socioeconomic factors and survival after out-of-hospital cardiac arrest is not established. Our aim was to investigate whether socioeconomic variables are associated with 30-day survival after out-of-hospital cardiac arrest. Methods: We linked data from the Swedish Registry for Cardiopulmonary Resuscitation with individual-level data on socioeconomic factors (ie, educational level and disposable income) from Statistics Sweden. Confounding and mediating variables included demographic factors, comorbidity, and Utstein resuscitation variables. Outcome was 30-day survival. Multiple modified Poisson regression was used for the main analyses. Results: A total of 31 373 out-of-hospital cardiac arrests occurring in 2010 to 2017 were included. Crude 30-day survival rates by income quintiles were as follows: Q1 (low), 414/6277 (6.6%); Q2, 339/6276 (5.4%); Q3, 423/6275 (6.7%); Q4, 652/6273 (10.4%); and Q5 (high), 928/6272 (14.8%). In adjusted analysis, the chance of survival by income level followed a gradient-like increase, with a risk ratio of 1.86 (95% CI, 1.65–2.09) in the highest-income quintile versus the lowest. This association remained after adjusting for comorbidity, resuscitation factors, and initial rhythm. A higher educational level was associated with improved 30-day survival, with the risk ratio associated with postsecondary education ≥4 years being 1.51 (95% CI, 1.30–1.74). Survival disparities by income and educational level were observed in both men and women. Conclusions: In this nationwide observational study using individual-level socioeconomic data, higher income and higher educational level were associated with better 30-day survival after out-of-hospital cardiac arrest in both sexes

Estimación del riesgo cardiovascular en pacientes con diabetes mellitus tipo 2 en un consultorio médico

Introduction: traumatic injuries are the leading cause of death in young people, ages under 45, and brain injuries have a high incidence of death in more than half of those suffering from these injuries.Objective: to characterize patients with severe cranioencephalic trauma in the Intensive Care Unit at Arnaldo Milián Castro General Teaching Hospital during the year 2018.Methods: an observational, descriptive and retrospective study was conducted in 38 patients with the diagnosis of severe head trauma from January 1, 2018 to January 1, 2019. Medical records were reviewed; variables such as age, cause of trauma, type of injury, complications and hospital staying were collected. Results: male patients predominated (92,11%), ages between 36 and 64 years (50 %); 50 % of traumas were due to traffic accidents. Subdural hematoma represented 52,63 % of lesions and pneumonia the most common complication (65,79 %). Patients admitted for more than 9 days predominated (44,74%); 73,68 % of patients were admitted alive; 65.79 % of patients underwent surgery. Severe cerebral edema was found among the causes of death (70 %).Conclusions: male patients after the third decade of life are prone to severe cranioencephalic trauma. Intervention on primary lesions avoids complications, where ventilation and prolonged hospital staying can trigger sepsis and act as factors affecting survival.Introducción: la diabetes mellitus es una enfermedad crónica no transmisible en aumento, y que, a la vez, representa un factor de riesgo para el desarrollo de enfermedades cardiovasculares. Objetivo: determinar el riesgo cardiovascular existente en los pacientes con diabetes mellitus tipo 2 pertenecientes al Consultorio Médico 15 del Policlínico Universitario “Federico Capdevila”.Método: Se realizó un estudio observacional, descriptivo, longitudinal con carácter retrospectivo, en el periodo comprendido entre septiembre de 2018 y febrero de 2019. La población estuvo constituida por los 87 pacientes con diagnóstico de diabetes mellitus tipo 2, trabajándose con la totalidad. Los datos fueron obtenidos mediante la entrevista, las historias clínicas individuales, y de salud familiar. Se cumplieron los principios de bioética.Resultados: se identificó riesgo cardiovascular en el sexo femenino (58,62 %), y en el grupo etario de 70 a 79 años de edad (28,73 %); así como en pacientes con obesidad (65,51 %); donde el 68,97 % de los pacientes sufrió de alguna enfermedad cardiovascular; entre ellas la hipertensión arterial (67,82 %). Predominó el riesgo cardiovascular leve (25,30 %). Se encontró relación entre la presencia de hipertensión arterial descompensada y un riesgo cardiovascular alto/muy alto (p<0,05).Conclusiones: las féminas que sufrían de diabetes mellitus tipo 2, que sobrepasaban la séptima década de vida y que sufrían de obesidad he hipertensión arterial presentaron riesgo cardiovascular, en su mayoría con riesgo leve. La hipertensión arterial descompensada se relacionó a un mayor riesgo cardiovascula

Association between exercise load, resting heart rate, and maximum heart rate and risk of future ST-segment elevation myocardial infarction (STEMI)

Objective This study aimed to examine the association between exercise workload, resting heart rate (RHR), maximum heart rate and the risk of developing ST-segment elevation myocardial infarction (STEMI).Methods The study included all participants from the UK Biobank who had undergone submaximal exercise stress testing. Patients with a history of STEMI were excluded. The allowed exercise load for each participant was calculated based on clinical characteristics and risk categories. We studied the participants who exercised to reach 50% or 35% of their expected maximum exercise tolerance. STEMI was adjudicated by the UK Biobank. We used Cox regression analysis to study how exercise tolerance and RHR were related to the risk of STEMI.Results A total of 66 949 participants were studied, of whom 274 developed STEMI during a median follow-up of 7.7 years. After adjusting for age, sex, blood pressure, smoking, forced vital capacity, forced expiratory volume in 1 s, peak expiratory flow and diabetes, we noted a significant association between RHR and the risk of STEMI (p=0.015). The HR for STEMI in the highest RHR quartile (&gt;90 beats/min) compared with that in the lowest quartile was 2.92 (95% CI 1.26 to 6.77). Neither the maximum achieved exercise load nor the ratio of the maximum heart rate to the maximum load was significantly associated with the risk of STEMI. However, a non-significant but stepwise inverse association was noted between the maximum load and the risk of STEMI.Conclusion RHR is an independent predictor of future STEMI. An RHR of &gt;90 beats/min is associated with an almost threefold increase in the risk of STEMI