Variation of cardiac magnetic resonance radiomics features by age and sex in healthy participants from the UK Biobank

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
Z Raisi-Estabragh ◽  
A Jaggi ◽  
N Aung ◽  
S Neubauer ◽  
S Piechnik ◽  
...  

Abstract Introduction Cardiac magnetic resonance (CMR) radiomics use voxel-level data to derive quantitative indices of myocardial tissue texture, which may provide complementary risk information to traditional CMR measures. Purpose In this first stage of our work, establishing the performance characteristics of CMR radiomics in relation to disease outcomes, we aimed to elucidate differences in radiomic features by sex and age in apparently healthy adults. Methods We defined a healthy cohort from the first 5,065 individuals completing the UK Biobank Imaging Enhancement, limiting to white Caucasian ethnicity, and excluding those with major co-morbidities, or cardiovascular risk factors/symptoms. We created evenly distributed age groups: 45–54 years, 55–64 years, 65–74 years. Radiomics features were extracted from left ventricle segmentations, with normalisation to body surface area. We compared mean values of individual features between the sexes, stratified by age and separately between the oldest and youngest age groups for each sex. Results We studied 657 (309 men, 358 women) healthy individuals. There were significant differences between radiomics features of men and women. Different features appeared more important at different age groups. For instance, in the youngest age group “end-systolic coarseness” showed greatest difference between men and women, whilst “end-diastolic run percentage” and “end-diastolic high grey level emphasis” showed most variation in the oldest and middle age groups. In the oldest age groups, differences between men and women were most predominant in the texture features, whilst in the younger groups a mixture of shape and texture differences were observed. We demonstrate significant variation between radiomics features by age, these differences are exclusively in texture features with different features implicated in men and women (“end-diastolic mean intensity” in women, “end-systolic sum entropy in men”). Conclusions There are significant age and sex differences in CMR radiomics features of apparently healthy adults, demonstrating alterations in myocardial architecture not appreciated by conventional indices. In younger ages, shape and texture differences are observed, whilst in older ages texture differences dominate. Furthermore, texture features are the most different features between the youngest and oldest hearts. We provide proof-of-concept data indicating CMR radiomics has discriminatory value with regard to two characteristics strongly linked to cardiovascular outcomes. We will next elucidate relationships between CMR radiomics, cardiac risk factors, and clinical outcomes, establishing predictive value incremental to existing measures. Funding Acknowledgement Type of funding source: Other. Main funding source(s): European Union's Horizon 2020 research and innovation programme (825903),British Heart Foundation Clinical Research Training Fellowship (FS/17/81/33318)

2021 ◽  
Author(s):  
Hui Chen ◽  
Yaying Cao ◽  
Yuan Ma ◽  
Geng Zong ◽  
Changzheng Yuan

Abstract Background: To inform targeted preventive strategies of dementia, systematic investigation in its age- and sex-specific modifiable risk factor profiles in the general adult population is warranted.Methods: We used data of 372,867 adults free from dementia at baseline (2006-2010) in the UK Biobank, and followed them up until March 2021. We assigned participants into five groups according to their age and into two groups according to their sex. We estimated the age- and sex-specific hazard ratios (HRs) using Cox proportional hazard models and calculated the corresponding population attributable fractions (PAFs) for dementia attributable to three major categories of modifiable risk factors, including socioeconomic (low education level, high Townsend deprivation index), lifestyle (non-moderate alcohol intake, current smoking, suboptimal diet, non-regular physical exercise, and sleep duration <=6 or >=8 hrs/d), and health condition (hypertension, diabetes, cardiovascular diseases, and depressive symptom) risk factors.Findings: During 4,338,030 person-years of follow-up, 113, 146, 360, 1,087, and 2,002 of participants across five increasing age groups (40-<50, 50-<55, 55-<60, 60-<65, or >=65 y), respectively, were newly diagnosed with dementia. Five out of eleven modifiable risk factors showed significantly stronger associations with dementia among younger adults than in relatively older adults (P-interactions < 0.05), including non-moderate alcohol intake (HR [95% confidence interval, CI]=1.90 [1.35, 2.68] for participants 50-<55 y vs. 1.22 [1.11, 1.35] for participants > 65 y), suboptimal diet (1.86 [1.26, 2.74] for participants 40-< 50 y vs. 0.96 [0.86, 1.06] for participants > 65 y), hypertension (1.52 [0.96, 2.42] vs. 1.08 [0.99, 1.19]), CVD (4.20 [2.15, 8.22] vs. 1.64 [1.45, 1.85]), and diabetes (3.09 [1.60, 6.00] vs. 1.73 [1.51, 2.00]). We observed no significant difference in dementia risk factor profiles between women and men. Dementia cases attributable to three categories of risk factors all decreased with age, with the PAFs (95% CI) for sociodemographic, lifestyle, and health condition risk factors being 52.56% (22.98%, 82.15%), 46.57% (8.08%, 85.06%), and 35.42% (24.09%, 46.75%) for participants aged 40-<50 y, and 12.29% (3.82%, 20.75%), 13.01% (2.53%, 23.49%), and 15.85% (11.81%, 19.90%) for those over 65 y.Interpretation: This study identified stronger association and greater attributable risk of several modifiable risk factors for dementia among younger adults, underscoring the importance of preventive strategies from an earlier age across adult life course to reduce the risk of dementia.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mengyu Li ◽  
Jie V. Zhao ◽  
Man Ki Kwok ◽  
C. Mary Schooling

AbstractAPOE genotypes are associated with ischemic heart disease (IHD), several other cardiovascular diseases and dementia. Previous studies have not comprehensively considered all genotypes, especially ε2ε2, nor associations by age and sex, although IHD incidence differs by sex. In the UK Biobank, including 391,992 white British participants, we compared effects of APOE genotypes on IHD and its risk factors. Compared to the ε3ε3 genotype, ε2ε2 was not clearly associated with IHD but was associated with lower plasma apolipoprotein B (apoB). The ε2ε3 genotype conferred lower IHD risk, systolic blood pressure (SBP), pulse pressure and plasma apoB than ε3ε3. ε3ε4 and ε4ε4 conferred higher IHD risk, higher pulse pressure and plasma apoB, but lower glycated haemoglobin (HbA1c) than ε3ε3. The associations by age and sex were fairly similar, except ε2ε2 compared to ε3ε3 was marginally positively associated with IHD in the younger age group and nominally inversely associated with SBP in men. ε3ε4 compared to ε3ε3 was nominally positively associated with SBP in women. APOE genotypes affect IHD risk increasingly from ε2ε3, ε3ε3, ε3ε4 to ε4ε4, with similar patterns for pulse pressure and plasma apoB, but not for diabetes. Associations with blood pressure differed by sex. Greater understanding of products of APOE and their effects might generate targets of intervention.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A273-A273
Author(s):  
Xi Zheng ◽  
Ma Cherrysse Ulsa ◽  
Peng Li ◽  
Lei Gao ◽  
Kun Hu

Abstract Introduction While there is emerging evidence for acute sleep disruption in the aftermath of coronavirus disease 2019 (COVID-19), it is unknown whether sleep traits contribute to mortality risk. In this study, we tested whether earlier-life sleep duration, chronotype, insomnia, napping or sleep apnea were associated with increased 30-day COVID-19 mortality. Methods We included 34,711 participants from the UK Biobank, who presented for COVID-19 testing between March and October 2020 (mean age at diagnosis: 69.4±8.3; range 50.2–84.6). Self-reported sleep duration (less than 6h/6-9h/more than 9h), chronotype (“morning”/”intermediate”/”evening”), daytime dozing (often/rarely), insomnia (often/rarely), napping (often/rarely) and presence of sleep apnea (ICD-10 or self-report) were obtained between 2006 and 2010. Multivariate logistic regression models were used to adjust for age, sex, education, socioeconomic status, and relevant risk factors (BMI, hypertension, diabetes, respiratory diseases, smoking, and alcohol). Results The mean time between sleep measures and COVID-19 testing was 11.6±0.9 years. Overall, 5,066 (14.6%) were positive. In those who were positive, 355 (7.0%) died within 30 days (median = 8) after diagnosis. Long sleepers (&gt;9h vs. 6-9h) [20/103 (19.4%) vs. 300/4,573 (6.6%); OR 2.09, 95% 1.19–3.64, p=0.009), often daytime dozers (OR 1.68, 95% 1.04–2.72, p=0.03), and nappers (OR 1.52, 95% 1.04–2.23, p=0.03) were at greater odds of mortality. Prior diagnosis of sleep apnea also saw a two-fold increased odds (OR 2.07, 95% CI: 1.25–3.44 p=0.005). No associations were seen for short sleepers, chronotype or insomnia with COVID-19 mortality. Conclusion Data across all current waves of infection show that prior sleep traits/disturbances, in particular long sleep duration, daytime dozing, napping and sleep apnea, are associated with increased 30-day mortality after COVID-19, independent of health-related risk factors. While sleep health traits may reflect unmeasured poor health, further work is warranted to examine the exact underlying mechanisms, and to test whether sleep health optimization offers resilience to severe illness from COVID-19. Support (if any) NIH [T32GM007592 and R03AG067985 to L.G. RF1AG059867, RF1AG064312, to K.H.], the BrightFocus Foundation A2020886S to P.L. and the Foundation of Anesthesia Education and Research MRTG-02-15-2020 to L.G.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sébastien Czernichow ◽  
Adeline Renuy ◽  
Claire Rives-Lange ◽  
Claire Carette ◽  
Guillaume Airagnes ◽  
...  

AbstractThis study provides trends in obesity prevalence in adults from 2013 to 2016 in France. 63,582 men and women from independent samples upon inclusion from the Constances cohort were included. Anthropometrics were measured at Health Screening Centers and obesity defined as a Body mass index (BMI) ≥ 30 kg/m2; obesity classes according to BMI are as follows: class 1 [30–34.9]; class 2 [35–39.9]; class 3 [≥ 40 kg/m2]. Linear trends across obesity classes by sex and age groups were examined in regression models and percentage point change from 2013 to 2016 for each age category calculated. All analyses accounted for sample weights for non-response, age and sex-calibrated to the French population. Prevalence of obesity ranged from 14.2 to 15.2% and from 14 to 15.3% in women and men respectively from 2013 to 2016. Class 1 obesity category prevalence was the only one to increase significantly across survey years in both men and women (p for linear trend = 0.04 and 0.01 in women and men respectively). The only significant increase for obesity was observed in the age group 18–29 y in both women and men (+ 2.71% and + 3.26% point increase respectively, equivalent to an approximate rise of 50% in women and 93% in men, p = 0.03 and 0.02 respectively). After adjustment for survey non-response and for age and sex distribution, the results show that class 1 obesity prevalence has significantly increased in both women and men from 2013 to 2016, and only in young adults in a representative sample of the French population aged 18–69 years old.


BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jessica Gong ◽  
Katie Harris ◽  
Sanne A. E. Peters ◽  
Mark Woodward

Abstract Background Sex differences in major cardiovascular risk factors for incident (fatal or non-fatal) all-cause dementia were assessed in the UK Biobank. The effects of these risk factors on all-cause dementia were explored by age and socioeconomic status (SES). Methods Cox proportional hazards models were used to estimate hazard ratios (HRs) and women-to-men ratio of HRs (RHR) with 95% confidence intervals (CIs) for systolic blood pressure (SBP) and diastolic blood pressure (DBP), smoking, diabetes, adiposity, stroke, SES and lipids with dementia. Poisson regression was used to estimate the sex-specific incidence rate of dementia for these risk factors. Results 502,226 individuals in midlife (54.4% women, mean age 56.5 years) with no prevalent dementia were included in the analyses. Over 11.8 years (median), 4068 participants (45.9% women) developed dementia. The crude incidence rates were 5.88 [95% CI 5.62–6.16] for women and 8.42 [8.07–8.78] for men, per 10,000 person-years. Sex was associated with the risk of dementia, where the risk was lower in women than men (HR = 0.83 [0.77–0.89]). Current smoking, diabetes, high adiposity, prior stroke and low SES were associated with a greater risk of dementia, similarly in women and men. The relationship between blood pressure (BP) and dementia was U-shaped in men but had a dose-response relationship in women: the HR for SBP per 20 mmHg was 1.08 [1.02–1.13] in women and 0.98 [0.93–1.03] in men. This sex difference was not affected by the use of antihypertensive medication at baseline. The sex difference in the effect of raised BP was consistent for dementia subtypes (vascular dementia and Alzheimer’s disease). Conclusions Several mid-life cardiovascular risk factors were associated with dementia similarly in women and men, but not raised BP. Future bespoke BP-lowering trials are necessary to understand its role in restricting cognitive decline and to clarify any sex difference.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
F Zhu ◽  
B Arshi ◽  
M Ikram ◽  
R De Knegt ◽  
M Kavousi

Abstract Introduction Abdominal aortic diameter has shown to be a marker of adverse cardiovascular outcomes. Among the non-aneurysmal populations, studies regarding abdominal aortic diameter normal reference values are sparse. Moreover, data regarding the associations between cardiovascular risk factors and aortic diameter among men and women are limited. Purpose To establish age- and sex-specific distribution of the infra-renal abdominal aortic diameters among non-aneurysmal older adults from the general population and to investigate the associations between cardiovascular risk factors and aortic diameters in men and women. Methods From a population-based cohort, 4032 participants (mean age, 67.2 years; 60.4% women) with infra-renal diameter assessment and without history of cardiovascular disease were included. Mean and quantile values of diameters were calculated in different age groups. Multiple linear regression analysis was used to detect the association of cardiovascular risk factors with diameters in men and women. Results The mean crude diameter was larger in men [mean (SD): 19.5 (2.6) mm] compared to women [17.0 (2.4)mm] but after adjustment for body surface area (BSA), the differences were small. There was a non-linear relationship between age and diameter (p&lt;0.001). After 66 years of age, the increase in diameter with increasing age was attenuated. After age 74 years in women and 71 years in men, the relationship between age and infra-renal aortic diameter was no longer statistically significant (Figure). Waist [standardized β (95% CI): 0.02 (0.0–0.04) in women and 0.03 (0.01–0.06) in men] and diastolic blood pressure [0.04 (0.02–0.05) in women and 0.02 (0.0–0.04) in men] were the risk factors for diameters in both sexes. Body mass index [0.02 (0.01–0.09)], systolic blood pressure [−0.01 (−0.02 to −0.01)], smoking status [0.21 (0.02–0.39)], cholesterol [−0.19 (−0.29 to −0.09)], and lipid-lowering medication [−0.47 (−0.71 to −0.23)] were significantly associated with aortic diameter only in women. Conclusion The differences in the crude abdominal aortic diameter between women and men diminished after taking into account the BSA. The abdominal aortic diameter increased steeply with advancing age and up to 66 years of age. However, after 74 years in women and 71 years in men, the diameter values reached a plateau. We also observed sex differences in the associations of cardiovascular risk factors with abdominal aortic diameter. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): Netherlands Organization for the Health Research and Development (ZonMw); the Research Institute for Diseases in the Elderly (RIDE)


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tanja Zamrik ◽  
Mirjam Frank ◽  
Carina Emmel ◽  
Lars Christian Rump ◽  
Raimund Erbel ◽  
...  

AbstractSocial inequalities in health and disease are well studied. Less information is available on inequalities in biomarker levels indicating subclinical stages of disease such as cystatin C, an early diagnostic marker of renal dysfunction and predictor for cardiovascular disease. We evaluated the relationship between cystatin C, socioeconomic position (SEP) and established cardiovascular risk factors in a population-based study. In 4475 men and women aged 45–75 years participating in the baseline examination of the Heinz Nixdorf Recall Study cystatin C was measured from serum samples with a nephelometric assay. SEP was assessed by education and household income. Linear regression models were used to analyse the association between SEP and cystatin C as well as the impact of cardiovascular risk factors (i.e., body mass index, blood pressure, blood glucose, diabetes mellitus, blood lipids, C-reactive protein, smoking) on this association. After adjustment for age and sex cystatin C decreased by 0.019 mg/l (95% confidence interval (CI) − 0.030 to − 0.008) per five years of education. While using a categorical education variable cystatin C presented 0.039 mg/l (95% CI 0.017–0.061) higher in men and women in the lowest educational category (≤ 10 years of education) compared to the highest category (≥ 18 years). Concerning income, cystatin C decreased by 0.014 mg/l (95% CI − 0.021 to − 0.006) per 1000 € after adjustment for age and sex. For men and women in the lowest income quartile cystatin C was 0.024 mg/l (95% CI 0.009–0.038) higher compared to the highest income quartile. After adjusting for established cardiovascular risk factors the observed associations were substantially diminished. Social inequalities seem to play a role in subclinical stages of renal dysfunction, which are also related to development of cardiovascular disease. Adjustment for traditional cardiovascular risk factors showed that these risk factors largely explain the association between SEP and cystatin C.


2019 ◽  
Vol 23 (18) ◽  
pp. 1-104
Author(s):  
Jonathan L Rees ◽  
Anjali Shah ◽  
Katherine Edwards ◽  
Maria T Sanchez-Santos ◽  
Danielle E Robinson ◽  
...  

Background Shoulder dislocations are the most common joint dislocations seen in emergency departments. Most traumatic cases are anterior and cause recurrent dislocations. Management options include surgical and conservative treatments. There is a lack of evidence about which method is most effective after the first traumatic anterior shoulder dislocation (TASD). Objectives To produce UK age- and sex-specific incidence rates for TASD. To assess whether or not surgery within 6 months of a first-time TASD decreases re-dislocation rates compared with no surgery. To identify clinical predictors of recurrent dislocation. Design A population-based cohort study of first-time TASD patients in the UK. An initial validation study and subsequent propensity-score-matched analysis to compare re-dislocation rates between surgery and no surgery after a first-time TASD. Prediction modelling was used to identify potential predictors of recurrent dislocation. Setting UK primary and secondary care data. Participants Patients with a first-time TASD between 1997 and 2015. Interventions Stabilisation surgery within 6 months of a first-time TASD (compared with no surgery). Stabilisation surgery within 12 months of a first-time TASD was also carried out as a sensitivity analysis. Main outcome measure Re-dislocation rate up to 2 years after the first TASD. Methods Eligible patients were identified from the Clinical Practice Research Datalink (CPRD) (1997–2015). Accuracy of shoulder dislocation coding was internally validated using the CPRD General Practitioner questionnaire service. UK age- and sex-specific incidence rates for TASD were externally validated against rates from the USA and Canada. A propensity-score-matched analysis using linked CPRD and Hospital Episode Statistics (HES) data compared re-dislocation rates for patients aged 16–35 years, comparing surgery with no surgery. Multivariable Cox regression models for predicting re-dislocation were developed for the surgical and non-surgical cohorts. Results Shoulder dislocation was coded correctly for 89% of cases in the CPRD [95% confidence interval (CI) 83% to 95%], with a ‘primary’ dislocation confirmed for 76% of cases (95% CI 67% to 85%). Far fewer patients than expected received stabilisation surgery within 6 months of a first TASD, leading to an underpowered study. Around 20% of re-dislocation rates were observed for both surgical and non-surgical patients. The sensitivity analysis at 12 months also showed little difference in re-dislocation rates. Missing data on risk factors limited the value of the prediction modelling; however, younger age, epilepsy and sex (male) were identified as statistically significant predictors of re-dislocation. Limitations Far fewer than the expected number of patients had surgery after a first-time TASD, resulting in an underpowered study. This and residual confounding from missing risk factors mean that it is not possible to draw valid conclusions. Conclusions This study provides, for the first time, UK data on the age- and sex-specific incidence rates for TASD. Most TASD occurs in men, but an unexpected increased incidence was observed in women aged > 50 years. Surgery after a first-time TASD is uncommon in the NHS. Re-dislocation rates for patients receiving surgery after their first TASD are higher than previously expected; however, important residual confounding risk factors were not recorded in NHS primary and secondary care databases, thus preventing useful recommendations. Future work The high incidence of TASD justifies investigation into preventative measures for young men participating in contact sports, as well as investigating the risk factors in women aged > 50 years. A randomised controlled trial would account for key confounders missing from CPRD and HES data. A national TASD registry would allow for a more relevant data capture for this patient group. Study registration Independent Scientific Advisory Committee (ISAC) for the Medicines and Healthcare Products Regulatory Agency (ISAC protocol 15_0260). Funding The National Institute for Health Research Health Technology Assessment programme.


Sign in / Sign up

Export Citation Format

Share Document