ABSTRACT
BACKGROUND AND AIMS: Research into the relationship between an Energy-adjusted Diet-Inflammatory Index (E-DII) and a wider health-related biomarkers profile is limited. Much of the existing evidence centers on traditional metabolic biomarkers in populations with chronic diseases, with scarce data on healthy individuals. Thus, this study aims to investigate the association between an E-DII score and 30 biomarkers spanning metabolic health, endocrine, bone health, liver function, cardiovascular, and renal functions, in healthy individuals. METHODS AND RESULTS: 66,978 healthy UK Biobank participants, the overall mean age was 55.3 (7.9) years were included in this cross-sectional study. E-DII scores, based on 18 food parameters, were categorised as anti-inflammatory (E-DII < -1), neutral (-1 to 1), and pro-inflammatory (>1). Regression analyses, adjusted for confounding factors, were conducted to investigate the association of 30 biomarkers with E-DII. Compared to those with an anti-inflammatory diet, individuals with a pro-inflammatory diet had increased levels of 16 biomarkers, including six cardiometabolic, five liver, and four renal markers. The concentration difference ranged from 0.27 SD for creatinine to 0.03 SD for total cholesterol. Conversely, those on a pro-inflammatory diet had decreased concentrations in six biomarkers, including two for endocrine and cardiometabolic. The association range varied from -0.04 for IGF-1 to -0.23 for SHBG. CONCLUSION: This study highlighted that a pro-inflammatory diet was associated with an adverse profile of biomarkers linked to cardiometabolic health, endocrine, liver function, and renal health.
Subject(s)
Biomarkers , Inflammation Mediators , Inflammation , Kidney , Liver , Humans , Cross-Sectional Studies , Male , Middle Aged , Biomarkers/blood , Female , United Kingdom/epidemiology , Aged , Kidney/physiopathology , Inflammation/blood , Inflammation/diagnosis , Adult , Inflammation Mediators/blood , Liver/metabolism , Cardiometabolic Risk Factors , Diet/adverse effects , Risk Assessment , Biological Specimen Banks , Bone and Bones/metabolism , UK BiobankABSTRACT
OBJECTIVES: Studies have suggested phosphodiesterase 4 (PDE4) inhibition may be associated with weight loss and other cardiometabolic benefits. We evaluated the effect of the PDE4 inhibitor apremilast on body weight and composition, glucose homeostasis, lipid profiles and vascular function in psoriatic disease and whether weight change correlated with therapeutic response. METHODS: We conducted a prospective, open-label study (Immune Metabolic Associations in Psoriatic Arthritis) of adults receiving apremilast 30 mg as part of routine care for PsA and/or psoriasis. Cardiometabolic, anthropometric and disease activity assessments were performed at baseline (pre-apremilast) and at months 1, 3 and 6 of apremilast treatment in 60 patients. A subgroup underwent further assessment of endothelial function, body composition and adipocyte morphology. RESULTS: In patients (median age 54.5 years, 63% women, median BMI 33.2 kg/m2), apremilast was associated with a mean weight loss of 2.2 kg (95% CI 1.4, 3.0; P < 0.001) and a mean BMI decrease of 0.8 kg/m2 (95% CI 0.5, 1.2; P < 0.001) after 6 months of treatment. Body composition analysis demonstrated a reduction in total abdominal fat [mean decrease 0.52 L (95% CI 0.08, 0.96), P = 0.022], principally subcutaneous adipose tissue [mean decrease 0.37 L (95% CI 0.05, 0.68), P = 0.022]. There was no change in adipocyte diameter, haemoglobin A1c, lipid, glucagon-like peptide-1 or vascular function. Psoriatic disease activity improved with apremilast, although this was not correlated with weight change. CONCLUSION: Following apremilast treatment, we observed weight loss, principally abdominal subcutaneous fat, and improvement in psoriatic disease activity. The latter was independent of weight change, suggesting apremilast likely acts through direct immunological mechanisms.
Subject(s)
Arthritis, Psoriatic/drug therapy , Cardiometabolic Risk Factors , Psoriasis/drug therapy , Thalidomide/analogs & derivatives , Adult , Body Fat Distribution , Female , Humans , Male , Middle Aged , Phosphodiesterase 4 Inhibitors/therapeutic use , Prospective Studies , Thalidomide/therapeutic use , Weight LossABSTRACT
OBJECTIVES: To compare body composition in PsA with metabolic disease free (MDF) controls and type 2 diabetes and assess body-composition predicted propensity for cardiometabolic disease. METHODS: Detailed MRI body composition profiles of 26 PsA participants from the IMAPA study were compared with 130 age, sex and BMI-matched MDF controls and 454 individuals with type 2 diabetes from UK Biobank. The body-composition predicted propensity for coronary heart disease (CHD) and type 2 diabetes was compared between PsA and matched MDF controls. RESULTS: PsA participants had a significantly greater visceral adipose tissue (VAT) volume [mean 5.89 l (s.d. 2.10 l)] compared with matched-MDF controls [mean 4.34 l (s.d. 1.83 l)] (P <0.001) and liver fat percentage [median 8.88% (interquartile range 4.42-13.18%)] compared with MDF controls [3.29% (1.98-7.25%)] (P <0.001). These differences remained significant after adjustment for age, sex and BMI. There were no statistically significant differences in VAT, liver fat or muscle fat infiltration (MFI) between PsA and type 2 diabetes. PsA participants had a lower thigh muscle volume than MDF controls and those with type 2 diabetes. Body composition-predicted propensity for CHD and type 2 diabetes was 1.27 and 1.83 times higher, respectively, for PsA compared with matched-MDF controls. CONCLUSION: Individuals with PsA have an adverse body composition phenotype with greater visceral and ectopic liver fat and lower thigh muscle volume than matched MDF controls. Body fat distribution in PsA is more in keeping with the pattern observed in type 2 diabetes and is associated with greater propensity to cardiometabolic disease. These data support the need for greater emphasis on weight loss in PsA management to lessen CHD and type 2 diabetes risk.
Subject(s)
Arthritis, Psoriatic/pathology , Body Composition , Coronary Disease/etiology , Diabetes Mellitus, Type 2/etiology , Adult , Age Factors , Aged , Arthritis, Psoriatic/complications , Arthritis, Psoriatic/diagnostic imaging , Case-Control Studies , Coronary Disease/pathology , Cross-Sectional Studies , Diabetes Mellitus, Type 2/pathology , Female , Humans , Intra-Abdominal Fat/pathology , Liver/pathology , Magnetic Resonance Imaging , Male , Middle Aged , Muscle, Skeletal/pathology , Risk Factors , Sex Factors , Thigh/pathologyABSTRACT
BACKGROUND: Total cholesterol and high-density lipoprotein cholesterol (HDL-C) measurements are central to cardiovascular disease (CVD) risk assessment, but there is continuing debate around the utility of other lipids for risk prediction. METHODS: Participants from UK Biobank without baseline CVD and not taking statins, with relevant lipid measurements (n=346 686), were included in the primary analysis. An incident fatal or nonfatal CVD event occurred in 6216 participants (1656 fatal) over a median of 8.9 years. Associations of nonfasting lipid measurements (total cholesterol, HDL-C, non-HDL-C, direct and calculated low-density lipoprotein cholesterol [LDL-C], and apolipoproteins [Apo] A1 and B) with CVD were compared using Cox models adjusting for classical risk factors, and predictive utility was determined by the C-index and net reclassification index. Prediction was also tested in 68 649 participants taking a statin with or without baseline CVD (3515 CVD events). RESULTS: ApoB, LDL-C, and non-HDL-C were highly correlated (r>0.90), while HDL-C was strongly correlated with ApoA1 (r=0.92). After adjustment for classical risk factors, 1 SD increase in ApoB, direct LDL-C, and non-HDL-C had similar associations with composite fatal/nonfatal CVD events (hazard ratio, 1.23, 1.20, 1.21, respectively). Associations for 1 SD increase in HDL-C and ApoA1 were also similar (hazard ratios, 0.81 [both]). Adding either total cholesterol and HDL-C, or ApoB and ApoA, to a CVD risk prediction model (C-index, 0.7378) yielded similar improvement in discrimination (C-index change, 0.0084; 95% CI, 0.0065, 0.0104, and 0.0089; 95% CI, 0.0069, 0.0109, respectively). Once total and HDL-C were in the model, no further substantive improvement was achieved with the addition of ApoB (C-index change, 0.0004; 95% CI, 0.0000, 0.0008) or any measure of LDL-C. Results for predictive utility were similar for a fatal CVD outcome, and in a discordance analysis. In participants taking a statin, classical risk factors (C-index, 0.7118) were improved by non-HDL-C (C-index change, 0.0030; 95% CI, 0.0012, 0.0048) or ApoB (C-index change, 0.0030; 95% CI, 0.0011, 0.0048). However, adding ApoB or LDL-C to a model already containing non-HDL-C did not further improve discrimination. CONCLUSIONS: Measurement of total cholesterol and HDL-C in the nonfasted state is sufficient to capture the lipid-associated risk in CVD prediction, with no meaningful improvement from addition of apolipoproteins, direct or calculated LDL-C.
Subject(s)
Apolipoproteins/blood , Cardiovascular Diseases/blood , Cardiovascular Diseases/diagnosis , Cholesterol, HDL/blood , Cholesterol, LDL/blood , Hematologic Tests/standards , Biological Specimen Banks , Cardiovascular Diseases/epidemiology , Cohort Studies , Female , Follow-Up Studies , Hematologic Tests/methods , Humans , Male , Middle Aged , Predictive Value of Tests , United Kingdom/epidemiologyABSTRACT
Background and Purpose- Stroke incidence in younger and middle-aged people is growing. Despite this, its associations in this subset of the stroke population are unknown, and prevention strategies are not tailored to meet their needs. This study examined the association between self-reported walking pace and incident stroke. Methods- Data from the UK Biobank were used in a prospective population-based study. Three hundred and sixty-three thousand, one hundred and thirty-seven participants aged 37 to 73 years (52% women) were recruited. The associations of self-reported walking pace with stroke incidence over follow-up were investigated using Cox proportional-hazard models. Results- Among 363,137 participants, 2705 (0.7%) participants developed a fatal or nonfatal stroke event over the mean follow-up period of 6.1 years (interquartile range, 5.4-6.7). Slow walking pace was associated with a higher hazard for stroke incidence (hazard ratio [HR], 1.45 [95% CI, 1.26-1.66]; P<0.0001). Stroke incidence was not associated with walking pace among people <65 years of age. However, slow walking pace was associated with a higher risk of stroke among participants aged ≥65 years (HR, 1.42 [95% CI, 1.17-1.72]; P<0.0001). A higher risk for stroke was observed on those with middle (HR, 1.28 [95% CI, 1.01-1.63]; P=0.039) and higher (HR, 1.29 [95% CI, 1.05-1.69]; P=0.012) deprivation levels but not in the least deprived individuals. Similarly, overweight (HR, 1.30 [95% CI, 1.04-1.63]; P=0.019) and obese (HR, 1.33 [95% CI, 1.09-1.63]; P=0.004) but not normal-weight individuals had a higher risk of stroke incidence. Conclusions- Slow walking pace was associated with a higher risk of stroke among participants over 64 years of age in this population-based cohort study. The addition of the measurement of self-reported walking pace to primary care or public health clinical consultations may be a useful screening tool for stroke risk.
Subject(s)
Cardiovascular Diseases/epidemiology , Stroke/epidemiology , Walking Speed/physiology , Walking/physiology , Adult , Aged , Biological Specimen Banks , Cohort Studies , Female , Humans , Incidence , Male , Middle Aged , Motor Activity/physiology , Prospective Studies , Risk Factors , United Kingdom/epidemiologyABSTRACT
BACKGROUND: Psoriasis is a common inflammatory skin disease that has been reported to be associated with obesity. We aimed to investigate a possible causal relationship between body mass index (BMI) and psoriasis. METHODS AND FINDINGS: Following a review of published epidemiological evidence of the association between obesity and psoriasis, mendelian randomization (MR) was used to test for a causal relationship with BMI. We used a genetic instrument comprising 97 single-nucleotide polymorphisms (SNPs) associated with BMI as a proxy for BMI (expected to be much less confounded than measured BMI). One-sample MR was conducted using individual-level data (396,495 individuals) from the UK Biobank and the Nord-Trøndelag Health Study (HUNT), Norway. Two-sample MR was performed with summary-level data (356,926 individuals) from published BMI and psoriasis genome-wide association studies (GWASs). The one-sample and two-sample MR estimates were meta-analysed using a fixed-effect model. To test for a potential reverse causal effect, MR analysis with genetic instruments comprising variants from recent genome-wide analyses for psoriasis were used to test whether genetic risk for this skin disease has a causal effect on BMI. Published observational data showed an association of higher BMI with psoriasis. A mean difference in BMI of 1.26 kg/m2 (95% CI 1.02-1.51) between psoriasis cases and controls was observed in adults, while a 1.55 kg/m2 mean difference (95% CI 1.13-1.98) was observed in children. The observational association was confirmed in UK Biobank and HUNT data sets. Overall, a 1 kg/m2 increase in BMI was associated with 4% higher odds of psoriasis (meta-analysis odds ratio [OR] = 1.04; 95% CI 1.03-1.04; P = 1.73 × 10(-60)). MR analyses provided evidence that higher BMI causally increases the odds of psoriasis (by 9% per 1 unit increase in BMI; OR = 1.09 (1.06-1.12) per 1 kg/m2; P = 4.67 × 10(-9)). In contrast, MR estimates gave little support to a possible causal effect of psoriasis genetic risk on BMI (0.004 kg/m2 change in BMI per doubling odds of psoriasis (-0.003 to 0.011). Limitations of our study include possible misreporting of psoriasis by patients, as well as potential misdiagnosis by clinicians. In addition, there is also limited ethnic variation in the cohorts studied. CONCLUSIONS: Our study, using genetic variants as instrumental variables for BMI, provides evidence that higher BMI leads to a higher risk of psoriasis. This supports the prioritization of therapies and lifestyle interventions aimed at controlling weight for the prevention or treatment of this common skin disease. Mechanistic studies are required to improve understanding of this relationship.
Subject(s)
Body Mass Index , Psoriasis/etiology , Adolescent , Adult , Aged , Female , Genome-Wide Association Study , Humans , Male , Mendelian Randomization Analysis , Middle Aged , Obesity/complications , Obesity/genetics , Polymorphism, Single Nucleotide/genetics , Psoriasis/genetics , Risk Factors , Young AdultABSTRACT
OBJECTIVES: To determine the independent association of central adiposity, assessed by waist circumference, with odds of psoriasis, PsA and RA prevalence after controlling for general adiposity (BMI). METHODS: A cross-sectional study of UK Biobank participants aged 40-70 years was performed. Logistic regression was used to calculate the odds of psoriasis, PsA and RA occurrence compared with controls without these conditions by waist circumference, adjusting for covariates: age, sex, smoking status, socioeconomic deprivation and self-reported physical activity (Model 1), followed additionally by BMI (Model 2). RESULTS: A total of 502 417 participants were included; 5074 with psoriasis (1.02%), 905 with PsA (0.18%), 5532 with RA (1.11%) and 490 906 controls without these conditions. Adjusted odds ratios (ORs) (Model 1) for psoriasis, PsA and RA, per s.d. (13.5 cm) higher waist circumference were 1.20 (95% CI 1.16, 1.23), 1.30 (95% CI 1.21, 1.39) and 1.21 (95% CI 1.17, 1.24), respectively (all P < 0.001). These ORs remained significant after further adjustment for BMI (Model 2) in psoriasis [OR 1.19 (95% CI 1.12, 1.27), P < 0.001] and RA [OR 1.19 (95% CI 1.12, 1.26), P < 0.001], but not in PsA [OR 1.11 (95% CI 0.95, 1.29), P = 0.127]. CONCLUSION: Central adiposity as measured by waist circumference is associated with greater odds of psoriasis and RA prevalence after adjustment for confounders and for BMI. Our findings add support for central adiposity as a long-term clinically relevant component of these conditions.
Subject(s)
Arthritis, Psoriatic/epidemiology , Arthritis, Rheumatoid/epidemiology , Obesity, Abdominal/epidemiology , Adult , Aged , Biological Specimen Banks , Body Mass Index , Case-Control Studies , Female , Humans , Logistic Models , Male , Middle Aged , Smoking/epidemiology , United Kingdom/epidemiology , Waist CircumferenceABSTRACT
BACKGROUND: Gout, a common crystal arthropathy, is associated with increased risk of cardiovascular disease. We aimed to identify how this risk varies by individual cardiovascular disease across a broad spectrum of conditions. METHODS: In this matched case-control study, we used linked primary and secondary electronic health records from the UK Clinical Practice Research Datalink to assemble a cohort of individuals with a first-time diagnosis of gout between Jan 1, 2000 and Dec 31, 2017, who were aged 80 years or younger at diagnosis, and free of cardiovascular diseases up to 12 months after diagnosis. The control cohort comprised up to five control individuals per patient with gout, matched on age, sex, socioeconomic status, geographical region, and calendar time, randomly selected among individuals free of gout at any time before and during the study period. The cohorts were followed up until June 30, 2019. We investigated the incidence of 12 cardiovascular diseases and used Cox proportional hazards models to examine differences in people with and without gout, overall and by subgroups of sex, age, socioeconomic status, and year of study inclusion. We further adjusted models for known cardiovascular risk factors (blood pressure, BMI, smoking status, cholesterol, type 2 diabetes, chronic kidney disease, and history of hypertension). FINDINGS: We identified 152 663 individuals with gout (mean age 56·2 years [SD 13·3]; 120â324 [78·8%] men and 32â339 [21·2%] women) and 709 981 matched controls (mean age 56·5 years [13·2]; 561â002 [79·0%] men and 148â979 [21·0%] women). Of these individuals, 31â479 (20·6%) with gout and 106 520 (15·0%) without gout developed cardiovascular disease during a median follow-up of 6·5 years (IQR 3·1-10·5). Patients with gout had higher risk of cardiovascular diseases than matched controls (hazard ratio [HR] 1·58 [95% CI 1·52-1·63]). Excess risk of cardiovascular disease in gout was greater in women than men (women: HR 1·88 [1·75-2·02]; men: HR 1·49 [1·43-1·56]), and, among all age groups, was highest in younger individuals (HR in people aged <45 years: 2·22 [1·92-2·57]). Excess risk was observed across all 12 cardiovascular diseases investigated. Patients with gout had higher BMI than matched controls (mean difference 2·90 kg/m2 [95% CI 2·87-2·93]) and higher prevalence of chronic kidney disease, dyslipidaemia, history of hypertension, obesity, and type 2 diabetes. Adjusting for known cardiovascular risk factors attenuated but did not eliminate the excess risk of cardiovascular disease related to gout (adjusted HR 1·31 [1·27-1·36]). INTERPRETATION: Patients with gout had an excess risk of developing a broad range of cardiovascular diseases that extend beyond atherosclerotic diseases and include heart failure, arrhythmias, valve disease, and thromboembolic diseases. Excess risk was highest in women and younger individuals. These findings suggest that strategies to reduce cardiovascular risk in patients with gout need to evolve and be implemented in clinical practice. FUNDING: Research Foundation Flanders.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Gout , Hypertension , Renal Insufficiency, Chronic , Adult , Aged , Female , Humans , Male , Middle Aged , Cardiovascular Diseases/epidemiology , Case-Control Studies , Gout/epidemiology , Hypertension/epidemiology , IncidenceABSTRACT
Individuals with rheumatoid arthritis, systemic lupus erythematosus, or gout have increased risk of cardiovascular disease (CVD) compared with the general population. This risk relates to a combination of traditional cardiovascular risk factors and disease-specific factors. Screening for CVD is important because CVD contributes to significant morbidity and mortality. Management includes tight control of disease activity to reduce inflammation, but with care to minimize use of nonsteroidal anti-inflammatory drugs and prolonged courses of high-dose corticosteroids. Traditional cardiovascular risk factors should be managed with a combination of lifestyle interventions and pharmacotherapy. The decision to start antihypertensive and lipid-lowering therapy should be based on individual CVD risk.
Subject(s)
Arthritis, Rheumatoid , Cardiovascular Diseases , Lupus Erythematosus, Systemic , Rheumatic Diseases , Arthritis, Rheumatoid/drug therapy , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Cardiovascular Diseases/prevention & control , Heart Disease Risk Factors , Humans , Lupus Erythematosus, Systemic/epidemiology , Rheumatic Diseases/complications , Rheumatic Diseases/drug therapy , Rheumatic Diseases/epidemiology , Risk FactorsABSTRACT
OBJECTIVE: To investigate sex-specific associations of osteoporosis with incidence of and mortality from cardiovascular disease (CVD), respiratory disease, and cancer as well as with all-cause mortality. METHODS: In total, 305,072 participants (53% [161,383] women) of UK Biobank were included in this study (2007-2010). Self-reported diagnosis of osteoporosis at baseline was the exposure of interest. The outcomes were CVD, respiratory disease, chronic obstructive pulmonary disease (COPD), all cancer, and prostate and breast cancer incidence and mortality and all-cause mortality. Associations between osteoporosis and outcomes were investigated using Cox proportional hazards models. RESULTS: In men, osteoporosis was associated with a higher incident risk of all respiratory diseases (hazard ratio [HR], 1.26; 95% CI, 1.06 to 1.50) including COPD (HR, 1.82; 95% CI, 1.38 to 2.40). Men with osteoporosis also had a higher mortality risk from all causes (HR, 1.71; 95% CI, 1.38 to 2.11), CVD (HR, 1.68; 95% CI, 1.19 to 2.37), respiratory disease (HR, 2.35; 95% CI, 1.70 to 3.24), and COPD (HR, 3.64; 95% CI, 2.24 to 5.91). These associations persisted after adjustment for age, body mass index, and comorbidities. Women with osteoporosis had a higher risk of incident CVD (HR, 1.24; 95% CI, 1.97 to 1.44), respiratory disease (HR, 1.23; 95% CI, 1.13 to 1.33), and COPD (HR, 1.29; 95% CI, 1.10 to 1.52). Women with osteoporosis also had a higher mortality risk from respiratory disease (HR, 1.31; 95% CI, 1.00 to 1.72) and breast cancer (HR, 1.60; 95% CI, 1.14 to 2.26). CONCLUSION: Compared with women, men with osteoporosis had a higher risk of all-cause mortality, mortality from respiratory diseases including COPD, and cancer incidence. Osteoporosis was strongly associated with respiratory disease and COPD in both sexes, even after full adjustment for covariates, although men with osteoporosis experienced a higher risk of adverse outcomes.
Subject(s)
Cardiovascular Diseases/mortality , Neoplasms/mortality , Osteoporosis/epidemiology , Respiratory Tract Diseases/mortality , Aged , Causality , Female , Humans , Male , Middle Aged , Proportional Hazards Models , Prospective Studies , Risk Assessment , Sex Factors , United Kingdom/epidemiologyABSTRACT
Background: Gamma-glutamyltransferase (GGT) levels in the blood can be a sensitive marker of liver injury but the extent to which they give insight into risk across multiple outcomes in a clinically useful way remains uncertain. Methods: Using data from 293,667 UK Biobank participants, the relationship of GGT concentrations to self-reported alcohol intake and adiposity markers were investigated. We next investigated whether GGT predicted liver-related, cardiovascular (CV) or all-cause mortality, and potentially improved CV risk prediction. Findings: Higher alcohol intake and greater waist circumference (WC) were associated with higher GGT; the association was stronger for alcohol with evidence of a synergistic effect of WC. Higher GGT concentrations were associated with multiple outcomes. Compared to a GGT of 14.5 U/L (lowest decile), values of 48 U/L for women and 60 U/L for men (common upper limits of 'normal') had hazard ratios (HRs) for liver-related mortality of 1.83 (95% CI 1.60-2.11) and 3.25 (95% CI 2.38-4.42) respectively, for CV mortality of 1.21 (95% CI 1.14-1.28) and 1.43 (95% CI 1.27-1.60) and for all-cause mortality of 1.15 (95% CI 1.12-1.18) and 1.31 (95% CI 1.24-1.38). Adding GGT to a risk algorithm for CV mortality reclassified an additional 1.24% (95% CI 0.14-2.34) of participants across a binary 5% 10-year risk threshold. Interpretation: Our study suggests that a modest elevation in GGT levels should trigger a discussion with the individual to review diet and lifestyle including alcohol intake and consideration of formal liver disease and CV risk assessment if not previously done. Funding: British Heart Foundation Centre of Research Excellence Grant (grant number RE/18/6/34217), NHS Research Scotland (grant number SCAF/15/02), the Medical Research Council (grant number MC_UU_00022/2); and the Scottish Government Chief Scientist Office (grant number SPHSU17).
ABSTRACT
AIMS: To investigate the population attributable fraction due to elevated lipoprotein (a) (Lp(a)) and the utility of measuring Lp(a) in cardiovascular disease (CVD) risk prediction. METHODS AND RESULTS: In 413 734 participants from UK Biobank, associations of serum Lp(a) with composite fatal/non-fatal CVD (n = 10 066 events), fatal CVD (n = 3247), coronary heart disease (CHD; n = 18 292), peripheral vascular disease (PVD; n = 2716), and aortic stenosis (n = 901) were compared using Cox models. Median Lp(a) was 19.7 nmol/L (interquartile interval 7.6-75.3 nmol/L). About 20.8% had Lp(a) values >100 nmol/L; 9.2% had values >175 nmol/L. After adjustment for classical risk factors, 1 SD increment in log Lp(a) was associated with a hazard ratio for fatal/non-fatal CVD of 1.12 [95% confidence interval (CI) 1.10-1.15]. Similar associations were observed with fatal CVD, CHD, PVD, and aortic stenosis. Adding Lp(a) to a prediction model containing traditional CVD risk factors in a primary prevention group improved the C-index by +0.0017 (95% CI 0.0008-0.0026). In the whole cohort, Lp(a) above 100 nmol/L was associated with a population attributable fraction (PAF) of 5.8% (95% CI 4.9-6.7%), and for Lp(a) above 175 nmol/L the PAF was 3.0% (2.4-3.6%). Assuming causality and an achieved Lp(a) reduction of 80%, an ongoing trial to lower Lp(a) in patients with CVD and Lp(a) above 175 nmol/L may reduce CVD risk by 20.0% and CHD by 24.4%. Similar benefits were also modelled in the whole cohort, regardless of baseline CVD. CONCLUSION: Population screening for elevated Lp(a) may help to predict CVD and target Lp(a) lowering drugs, if such drugs prove efficacious, to those with markedly elevated levels.
Subject(s)
Cardiovascular Diseases , Coronary Disease , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Cohort Studies , Coronary Disease/diagnosis , Coronary Disease/epidemiology , Coronary Disease/prevention & control , Humans , Lipoprotein(a) , Risk FactorsABSTRACT
Individuals with rheumatoid arthritis, systemic lupus erythematosus, or gout have increased risk of cardiovascular disease (CVD) compared with the general population. This risk relates to a combination of traditional cardiovascular risk factors and disease-specific factors. Screening for CVD is important because CVD contributes to significant morbidity and mortality. Management includes tight control of disease activity to reduce inflammation, but with care to minimize use of nonsteroidal anti-inflammatory drugs and prolonged courses of high-dose corticosteroids. Traditional cardiovascular risk factors should be managed with a combination of lifestyle interventions and pharmacotherapy. The decision to start antihypertensive and lipid-lowering therapy should be based on individual CVD risk.
Subject(s)
Cardiovascular Diseases , Heart Disease Risk Factors , Rheumatic Diseases , Cardiovascular Diseases/immunology , Cardiovascular Diseases/prevention & control , Humans , Preventive Health Services , Rheumatic Diseases/immunology , Rheumatic Diseases/physiopathology , Rheumatic Diseases/therapyABSTRACT
BACKGROUND: Sarcopenia often co-occurs with osteoporosis in cross-sectional studies. However, this association has rarely been studied in prospective studies. This study aimed to investigate the association between sarcopenia categories-along with its individual components-and incident osteoporosis in both middle-aged and older men and women from the UK Biobank study. METHODS: A total of 168,682 participants (48.8% women, aged 37 to 70 years at baseline) were included in this prospective study. Categories of sarcopenia (pre-sarcopenia and sarcopenia), and its individual components, were defined according to the EWGSOP2 criteria (2019). Associations with incident osteoporosis by sex were investigated using Cox-proportional hazard models adjusted for socio-demographic, lifestyle and health-related factors, and morbidity count. Associations between categories of sarcopenia and incident osteoporosis were also investigated by age-groups and subtype of osteoporosis (with and without pathological fractures). RESULTS: After a median follow-up of 7.4 years, 6296 participants were diagnosed with osteoporosis. When the analyses were adjusted for a range of relevant confounding factors, pre-sarcopenia was associated with 1.3-times higher risk of osteoporosis in men (HR: 1.30 [95% CI: 1.03 to 1.63]) but not in women, and sarcopenia was associated with 1.66-times increased osteoporosis risk in women (HR: 1.66 [95% CI: 1.33 to 2.08]) but not in men compared with people without sarcopenia or pre-sarcopenia. A similar magnitude of associations was found in osteoporosis without pathological fractures but weaker for those with pathological fractures. Within the individual components, low muscle mass (HRwomen : 1.36 [95% CI: 1.22 to 1.51] and HRmen : 3.07 [95% CI: 1.68 to 5.59]), followed by slow gait speed (HRwomen : 1.30 [95% CI: 1.17 to 1.45] and HRmen : 1.70 [95% CI: 1.43 to 2.02]), were associated with a higher risk of incident osteoporosis in both sexes. Low grip strength was associated with a higher risk of incident osteoporosis in men (HR: 1.38 [95% CI: 1.15 to 1.65]), but not in women. No significant interaction between the exposures and incident osteoporosis by age groups were identified. CONCLUSIONS: Our findings demonstrated that pre-sarcopenic men and sarcopenic women had a higher risk of developing osteoporosis even after adjustment for a large range of potential confounders. Considering that sarcopenia could be prevented, health interventions to improve physical capability may delay or prevent the onset of osteoporosis.
Subject(s)
Osteoporosis , Sarcopenia , Aged , Biological Specimen Banks , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Osteoporosis/epidemiology , Osteoporosis/etiology , Prospective Studies , Sarcopenia/epidemiology , United Kingdom/epidemiologyABSTRACT
INTRODUCTION: Early detection and treatment of diabetes as well as its prevention help lessen longer-term complications. We determined the prevalence of pre-diabetes and undiagnosed diabetes in the UK Biobank and standardized the results to the UK general population. RESEARCH DESIGN AND METHODS: This cross-sectional study analyzed baseline UK Biobank data on plasma glycated hemoglobin (HbA1c) to compare the prevalence of pre-diabetes and undiagnosed diabetes mellitus in white, South Asian, black, and Chinese participants. The overall and ethnic-specific results were standardized to the UK general population aged 40-70 years of age. RESULTS: Within the UK Biobank, the overall crude prevalence was 3.6% for pre-diabetes, 0.8% for undiagnosed diabetes, and 4.4% for either. Following standardization to the UK general population, the results were similar at 3.8%, 0.8%, and 4.7%, respectively. Crude prevalence was much higher in South Asian (11.0% pre-diabetes; 3.6% undiagnosed diabetes; 14.6% either) or black (13.8% pre-diabetes; 3.0% undiagnosed diabetes; 16.8% either) participants. Only six middle-aged or old-aged South Asian individuals or seven black would need to be tested to identify an HbA1c result that merits action. CONCLUSIONS: Single-stage population screening for pre-diabetes or undiagnosed diabetes in middle-old or old-aged South Asian and black individuals using HbA1c could be efficient and should be considered.
Subject(s)
Biological Specimen Banks , Diabetes Mellitus , Ethnicity , Glycated Hemoglobin , Prediabetic State , Adult , Aged , Cross-Sectional Studies , Diabetes Mellitus/diagnosis , Diabetes Mellitus/ethnology , Glycated Hemoglobin/analysis , Humans , Middle Aged , Prediabetic State/diagnosis , Prediabetic State/ethnology , Prevalence , United Kingdom/epidemiologyABSTRACT
OBJECTIVE: To determine whether bicycle commuting is associated with risk of injury. DESIGN: Prospective population based study. SETTING: UK Biobank. PARTICIPANTS: 230 390 commuters (52.1% women; mean age 52.4 years) recruited from 22 sites across the UK compared by mode of transport used (walking, cycling, mixed mode versus non-active (car or public transport)) to commute to and from work on a typical day. MAIN OUTCOME MEASURE: First incident admission to hospital for injury. RESULTS: 5704 (2.5%) participants reported cycling as their main form of commuter transport. Median follow-up was 8.9 years (interquartile range 8.2-9.5 years), and overall 10 241 (4.4%) participants experienced an injury. Injuries occurred in 397 (7.0%) of the commuters who cycled and 7698 (4.3%) of the commuters who used a non-active mode of transport. After adjustment for major confounding sociodemographic, health, and lifestyle factors, cycling to work was associated with a higher risk of injury compared with commuting by a non-active mode (hazard ratio 1.45, 95% confidence interval 1.30 to 1.61). Similar trends were observed for commuters who used mixed mode cycling. Walking to work was not associated with a higher risk of injury. Longer cycling distances during commuting were associated with a higher risk of injury, but commute distance was not associated with injury in non-active commuters. Cycle commuting was also associated with a higher number of injuries when the external cause was a transport related incident (incident rate ratio 3.42, 95% confidence interval 3.00 to 3.90). Commuters who cycled to work had a lower risk of cardiovascular disease, cancer, and death than those who did not. If the associations are causal, an estimated 1000 participants changing their mode of commuting to include cycling for 10 years would result in 26 additional admissions to hospital for a first injury (of which three would require a hospital stay of a week or longer), 15 fewer first cancer diagnoses, four fewer cardiovascular disease events, and three fewer deaths. CONCLUSION: Compared with non-active commuting to work, commuting by cycling was associated with a higher risk of hospital admission for a first injury and higher risk of transport related incidents specifically. These risks should be viewed in context of the health benefits of active commuting and underscore the need for a safer infrastructure for cycling in the UK.
Subject(s)
Bicycling/injuries , Hospitalization/statistics & numerical data , Transportation , Adult , Aged , Cardiovascular Diseases/prevention & control , Cause of Death , Female , Follow-Up Studies , Humans , Male , Middle Aged , Neoplasms/prevention & control , Prospective Studies , Risk Factors , United Kingdom/epidemiology , WalkingABSTRACT
OBJECTIVES: We aimed to investigate demographic, lifestyle, socioeconomic and clinical risk factors for COVID-19, and compared them to risk factors for pneumonia and influenza in UK Biobank. DESIGN: Cohort study. SETTING: UK Biobank. PARTICIPANTS: 49-83 year olds (in 2020) from a general population study. MAIN OUTCOME MEASURES: Confirmed COVID-19 infection (positive SARS-CoV-2 test). Incident influenza and pneumonia were obtained from primary care data. Poisson regression was used to study the association of exposure variables with outcomes. RESULTS: Among 235 928 participants, 397 had confirmed COVID-19. After multivariable adjustment, modifiable risk factors were higher body mass index and higher glycated haemoglobin (HbA1C) (RR 1.28 and RR 1.14 per SD increase, respectively), smoking (RR 1.39), slow walking pace as a proxy for physical fitness (RR 1.53), and use of blood pressure medications as a proxy for hypertension (RR 1.33). Higher forced expiratory volume in 1 s (FEV1) and high-density lipoprotein (HDL) cholesterol were both associated with lower risk (RR 0.84 and RR 0.83 per SD increase, respectively). Non-modifiable risk factors included male sex (RR 1.72), black ethnicity (RR 2.00), socioeconomic deprivation (RR 1.17 per SD increase in Townsend Index), and high cystatin C (RR 1.13 per SD increase). The risk factors overlapped with pneumonia somewhat, less so for influenza. The associations with modifiable risk factors were generally stronger for COVID-19, than pneumonia or influenza. CONCLUSION: These findings suggest that modification of lifestyle may help to reduce the risk of COVID-19 and could be a useful adjunct to other interventions, such as social distancing and shielding of high risk.
Subject(s)
COVID-19/epidemiology , Influenza, Human/epidemiology , Pneumonia/epidemiology , Adult , Aged , Aged, 80 and over , Biological Specimen Banks , Biomarkers/blood , COVID-19/ethnology , Female , Humans , Influenza, Human/ethnology , Life Style , Male , Middle Aged , Physical Distancing , Pneumonia/ethnology , Pneumonia, Viral/epidemiology , Pneumonia, Viral/ethnology , Prospective Studies , Risk Factors , SARS-CoV-2 , Sex Factors , Socioeconomic Factors , United Kingdom/epidemiologyABSTRACT
OBJECTIVE: HbA1c levels are increasingly measured in screening for diabetes; we investigated whether HbA1c may simultaneously improve cardiovascular disease (CVD) risk assessment, using QRISK3, American College of Cardiology/American Heart Association (ACC/AHA), and Systematic COronary Risk Evaluation (SCORE) scoring systems. RESEARCH DESIGN AND METHODS: UK Biobank participants without baseline CVD or known diabetes (n = 357,833) were included. Associations of HbA1c with CVD was assessed using Cox models adjusting for classical risk factors. Predictive utility was determined by the C-index and net reclassification index (NRI). A separate analysis was conducted in 16,596 participants with known baseline diabetes. RESULTS: Incident fatal or nonfatal CVD, as defined in the QRISK3 prediction model, occurred in 12,877 participants over 8.9 years. Of participants, 3.3% (n = 11,665) had prediabetes (42.0-47.9 mmol/mol [6.0-6.4%]) and 0.7% (n = 2,573) had undiagnosed diabetes (≥48.0 mmol/mol [≥6.5%]). In unadjusted models, compared with the reference group (<42.0 mmol/mol [<6.0%]), those with prediabetes and undiagnosed diabetes were at higher CVD risk: hazard ratio (HR) 1.83 (95% CI 1.69-1.97) and 2.26 (95% CI 1.96-2.60), respectively. After adjustment for classical risk factors, these attenuated to HR 1.11 (95% CI 1.03-1.20) and 1.20 (1.04-1.38), respectively. Adding HbA1c to the QRISK3 CVD risk prediction model (C-index 0.7392) yielded a small improvement in discrimination (C-index increase of 0.0004 [95% CI 0.0001-0.0007]). The NRI showed no improvement. Results were similar for models based on the ACC/AHA and SCORE risk models. CONCLUSIONS: The near twofold higher unadjusted risk for CVD in people with prediabetes is driven mainly by abnormal levels of conventional CVD risk factors. While HbA1c adds minimally to cardiovascular risk prediction, those with prediabetes should have their conventional cardiovascular risk factors appropriately measured and managed.
Subject(s)
Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/etiology , Glycated Hemoglobin/metabolism , Prediabetic State/blood , Prediabetic State/epidemiology , Adult , Aged , Biological Specimen Banks/statistics & numerical data , Cardiovascular Diseases/blood , Cardiovascular Diseases/diagnosis , Cohort Studies , Diabetes Complications/blood , Diabetes Complications/epidemiology , Diabetes Mellitus/blood , Diabetes Mellitus/epidemiology , Diabetes Mellitus/etiology , Female , Glycated Hemoglobin/analysis , Humans , Male , Middle Aged , Prediabetic State/diagnosis , Risk Factors , United Kingdom/epidemiologyABSTRACT
Cardiometabolic comorbidities present a considerable burden for patients with rheumatoid arthritis (RA) or psoriatic arthritis (PsA). Both RA and PsA are associated with an increased risk of cardiovascular disease (CVD). PsA more often exhibits an increased risk of metabolically linked comorbidities such as obesity, insulin resistance, type 2 diabetes mellitus and non-alcoholic fatty liver disease. Although both RA and PsA are characterized by a state of chronic inflammation, the mechanisms that contribute to CVD risk in these conditions might not be identical. In RA, systemic inflammation is thought to directly contribute to CVD risk, whereas in PsA, adiposity is thought to contribute to a notable metabolic phenotype that, in turn, contributes to CVD risk. Hence, appropriate management strategies that consider the increased risk of cardiometabolic comorbidities in patients with inflammatory arthropathy are important. In RA, such strategies should focus on the prediction of CVD risk and its management through targeting chronic inflammation and traditional CVD risk factors. In PsA, management strategies should additionally focus on targeting metabolic components, including weight management, which might not only help improve disease activity in the joints, entheses and skin, but also reduce the risk of metabolic comorbidities and improve the quality of life of patients.
Subject(s)
Anti-Inflammatory Agents/therapeutic use , Arthritis, Psoriatic/epidemiology , Arthritis, Rheumatoid/epidemiology , Biological Factors/therapeutic use , Cardiovascular Diseases/epidemiology , Diabetes Mellitus, Type 2/epidemiology , Obesity/epidemiology , Arthritis, Psoriatic/drug therapy , Arthritis, Rheumatoid/drug therapy , Comorbidity , Global Health , Humans , Risk Factors , Survival Rate/trendsABSTRACT
Objective: To investigate whether the health implications of having type 2 diabetes (T2D) were different in South Asian compared with white European participants. Research design and methods: Prospective data from UK Biobank were used, and 457 935 participants of white European and 7102 of South Asian background were included. Cox proportional regression was performed to investigate the association between T2D and health outcome by ethnicity. Results: Over a mean of 7.0 years (IQR 6.3-7.6) of follow-up, 12 974 participants had died, and 30 347 and 27 159 developed cardiovascular disease (CVD) and cancer, respectively. South Asians had a higher risk for CVD mortality (HR: 1.42, 95% CI 1.07 to 1.89) and incidence (HR: 1.78, 95% CI 1.63 to 1.94), but a decreased risk for cancer mortality (HR: 0.59, 95% CI 0.41 to 0.85) and incidence (HR: 0.80, 95% CI 0.70 to 0.92) compared with white Europeans. Compared with individuals without T2D, both white Europeans and South Asians with T2D had a higher risk for all-cause mortality (1.59 (1.48 to 1.71) vs 2.83 (1.76 to 4.53)), CVD mortality (2.04 (1.82 to 2.28) vs 4.40 (2.37 to 8.16)) and CVD incidence (1.37 (1.31 to 1.44) vs 1.60 (1.31 to 1.95)), respectively. However, the magnitude of the risk was higher for South Asians than white Europeans. Conclusions: Although T2D was associated with a higher risk for all-cause mortality and CVD incidence and mortality, in both white Europeans and South Asians, the risk experienced by South Asians with T2D was higher than their white European counterparts.