Cardiovascular Disease Conditions Research Articles

Evaluation of systemic medications associated with diabetic retinopathy: a nested case–control study from the UK Biobank

AimsThis study aims to investigate the associations between commonly used systemic medications and diabetic retinopathy (DR).MethodsIndividuals with linked primary care prescription data from the UK Biobank were included. Cases were...

Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study

Abstract Aims Cardiovascular disease (CVD) may not be detected in time with conventional clinical approaches. Abnormal gait patterns have been associated with pathological conditions and can be monitored continuously by gait video. We aim to test the association between non-contact, video-based gait information and general CVD status. Methods and results Individuals undergoing confirmatory CVD evaluation were included in a prospective, cross-sectional study. Gait videos were recorded with a Kinect camera. Gait features were extracted from gait videos to correlate with the composite and individual components of CVD, including coronary artery disease, peripheral artery disease, heart failure, and cerebrovascular events. The incremental value of incorporating gait information with traditional CVD clinical variables was also evaluated. Three hundred fifty-two participants were included in the final analysis [mean (standard deviation) age, 59.4 (9.8) years; 25.3% were female]. Compared with the baseline clinical variable model [area under the receiver operating curve (AUC) 0.717, (0.690–0.743)], the gait feature model demonstrated statistically better performance [AUC 0.753, (0.726–0.780)] in predicting the composite CVD, with further incremental value when incorporated with the clinical variables [AUC 0.764, (0.741–0.786)]. Notably, gait features exhibited varied association with different CVD component conditions, especially for peripheral artery disease [AUC 0.752, (0.728–0.775)] and heart failure [0.733, (0.707–0.758)]. Additional analyses also revealed association of gait information with CVD risk factors and the established CVD risk score. Conclusion We demonstrated the association and predictive value of non-contact, video-based gait information for general CVD status. Further studies for gait video-based daily living CVD monitoring are promising.

Association of diabetic retinopathy on all-cause and cause-specific mortality in older adults with diabetes: National Health and Nutrition Examination Survey, 2005–2008

To evaluate the effect of diabetic retinopathy (DR) status or severity on all-cause and cause-specific mortality among diabetic older adults in the United States using the most recent National Health and Nutrition Examination Survey (NHANES) follow-up mortality data. The severity of DR was graded according to the Early Treatment Diabetic Retinopathy Study (ETDRS) grading scale. Multiple covariate-adjusted Cox proportional hazards regression models, Fine and Gray competing risk regression models, and propensity score matching (PSM) methods were used to assess the risk of all-cause and cause-specific mortality in individuals with diabetes. All analyses adopted the weighted data and complex stratified design approach proposed by the NHANES guidelines. Time to death was calculated based on the time between baseline and date of death or December 31, 2019, whichever came first. Ultimately 1077 participants, representing 3,025,316 US non-hospitalized individuals with diabetes, were included in the final analysis. After a median follow-up of 12.24 years (IQR, 11.16–13.49), 379 participants were considered deceased from all-causes, with 43.90% suffering from DR, including mild DR (41.50%), moderate to severe DR (46.77%), and proliferative DR (PDR) (67.21%). DR was associated with increased all-cause, cardiovascular disease (CVD) and diabetes mellitus (DM)-specific mortality, which remained consistent after propensity score matching (PSM). Results of DR grading assessment suggested that the presence of mild, moderate to severe NPDR was significantly associated with increased risk of all-cause and CVD-specific mortality, while the presence and severity of any DR was associated with increased DM-specific mortality, with a positive trend. The presence of DR in elderly individuals with diabetes is significantly associated with the elevated all-cause and CVD mortality. The grading or severity of DR may reflect the severity of cardiovascular disease status and overall mortality risk in patients with diabetes.

Abstract PO3-27-05: Racioethnic and Ancestral Differences in Risk of Cardiometabolic Conditions and Cardiovascular Disease in Women Treated for Breast Cancer: the Pathways Heart Study

Abstract Background: Despite the established literature of racioethnic disparities in cardiovascular disease (CVD) in the general population, few studies have examined such differences in women after BC treatment, who are at higher risk due to cardiotoxic cancer treatment. Moreover, few prior studies have considered genetic similarity among the participants in the analyses, which can be objectively inferred to delineate the ancestral background of an individual. Methods: The Pathways Heart Study was established to investigate the incidence of cardiometabolic risk factors and CVD events in women with a history of BC at Kaiser Permanente Northern California (KPNC). The main study endpoints for this analysis were cardiometabolic risk factors (hypertension, diabetes, and dyslipidemia) and CVD events, identified by ICD and CPT codes from EHR. Prevalent conditions were identified within 3 years prior to the date of BC diagnosis, and incident conditions were from the date of BC diagnosis to December 31, 2021. Ethnicity was self-reported and classified as non-Hispanic White (NHW), non-Hispanic Black (NHB), Asian, Hispanic, other, or unknown. Global genetic ancestry was estimated to capture the proportion of continental ancestries genetically similar to the reference populations in Africa, Americas, Asia, and Europe from the 1000 Genome Project and Human Genome Diversity Project (HGDP), which, with the current lack of universally accepted labeling, are herein referred to as African, Native American, Asian, and European ancestry, respectively. Multivariable logistic and Cox proportional hazards regression models with all-cause mortality considered as competing risk were used to analyze the associations of race and ethnicity and genetic similarity with prevalent and incident cardiometabolic risk factors and CVD events. Results: Of the 4,071 women with BC in this analysis, 2,713 (66.6%) self-reported as NHW, 305 (7.5%) as NHB, 512 (12.6) as Asian, 447 (11.0%) as Hispanic, and 94 (2.3%) as other or unknown. NHB, Asian, and Hispanic women were more like to have prevalent diabetes than NHW women, the pattern of which persisted after BC diagnosis. Adjusted OR (95% CI) of risk of incident diabetes was 1.74 (1.21-2.49) for NHB, 3.63 (2.59-5.08) for Asian, and 2.19 (1.58-3.04) for Hispanic women, as compared to NHW. Analysis of genetic similarity revealed results consistent with self-reported race and ethnicity (sHR [95% CI] per 25% increment of African ancestry 1.19 [1.07-1.34], Asian ancestry 1.57 [1.44-1.72], and Native American ancestry 1.60 [1.29-2.00]), in comparison to European ancestry. For CVD risk, NHB women were more like to develop any prevalent and incident CVD than NHW women, particularly for ischemic heart disease (incident risk sHR=1.80 [1.10-2.94]). Genetic similarity analyses also showed higher risk of ischemic heart disease associated with African ancestry (incident risk per 25% increment, sHR=1.23 [1.06-1.43]). In contrast, Hispanic women were at lower risk of any incident CVD, serious CVD, arrhythmia, heart failure or cardiomyopathy, and ischemic heart disease. Similarly, lower risk of these CVD conditions was associated with Native American ancestry. Conclusions: Compared with women who self-reported as NHW, those self-reported as NHB, Asian, and Hispanic were at higher risk of diabetes prior to BC diagnosis and the elevated risk persisted after BC diagnosis. Moreover, Black women had higher risk of prevalent and incident CVD, whereas Hispanic women had lower risk of CVD, the latter of which might be related to the admixture of Native American ancestry. To our knowledge, this is the largest multi-ethnic study of disparities in CVD health in women post BC treatment, demonstrating corroborating findings between self-reported race and ethnicity and genetic similarity. The results highlight disparities in cardiometabolic risk factors and CVD among BC survivors that may warrant more research and clinical attentions. Citation Format: Song Yao, Haiyang Sheng, Peter Fiorica, Richard Cheng, Lucas Mendicino, Angela Omilian, Qianqian Zhu, Janise Roh, Cecile Laurant, Valerie Lee, Isaac Ergas, Carlos Iribarren, Jamal Rana, Mai Nguyen-Huynh, Eileen Rillamas-Sun, Dawn Hershman, Christine Ambrosone, Lawrence Kushi, Heather Greenlee, Marilyn Kwan. Racioethnic and Ancestral Differences in Risk of Cardiometabolic Conditions and Cardiovascular Disease in Women Treated for Breast Cancer: the Pathways Heart Study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-27-05.

Impact of sociodemographic patient factors on prescriber adherence to antihypertensive prescription guidelines: a cross-sectional study using data from The Irish Longitudinal Study on Ageing

Abstract Introduction Uncontrolled hypertension causes significant morbidity and mortality worldwide. Several international prescribing guidelines have been created to address this. However, prescriber adherence to these guidelines may be influenced by sociodemographic patient factors such as socio-economic status, gender and age. Aim To examine the effects of gender and other patient factors, including age, geographical location, educational attainment, duration of disease, socio-economic status, smoking status, and previous history of cardiovascular diseases on prescriber adherence to hypertension prescription guidelines. Achievement of blood pressure goals (<140/90 mmHg) with adherence to prescription guidelines was also assessed. Methods This study is a secondary analysis of cross-sectional data from the first wave (2009-2011) of The Irish Longitudinal Study on Ageing (TILDA), which included 8,175 Irish adults ≥50 years of age. Participants were included in the present study if they reported a previous doctor diagnosis of hypertension. Antihypertensive medication regimens were compared and categorised according to the 2011 National Institute for Health and Clinical Excellence (NICE)[1] prescription guidelines, which included the use of angiotensin converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers, calcium channel blockers, and thiazide diuretics in the treatment of hypertension. In this study, the antihypertensive medication regimens of participants were categorised based on age categories (<55, ≥55, and all age groups), and compared to the 2011 NICE Guidelines which differentiate treatment in those ≥55, and <55 years of age. The effects of patient sociodemographic factors on prescriber adherence to the guidelines, and the effects of guideline adherence on blood pressure control, (defined as blood pressure<140/90 mmHg), were determined using multinomial logistic regression models. The mlogit, RRR code in STATA 17 SE was used to report relative risks (RRs). Results A total of 2,992 participants were included, of whom 54.9% were women. The mean age of participants was 65.69 years (±9.23). Male gender, older age and lower socioeconomic status among participants were associated with increased prescriber guideline adherence. Prescribers were less likely to adhere to guidelines in female patients ≥55 years (RR 0.75 [0.62 to 0.91]), and female patients across all age groups (RR 0.80 [0.67 to 0.95]). Better blood pressure control was seen with medication regimens adherent to prescription guidelines with a mean of 140.38 (±18.98)/83.09 (±11.02) mmHg compared to a mean of 141.66 (±19.86)/84.77 (±11.71) mmHg in those non-adherent to guidelines. Conclusion This study highlights the effects of patient gender on prescriber adherence to antihypertensive prescription guidelines. A study strength is the use of a large, nationally representative cohort that used a standardised protocol of data collection within the Irish population. A potential limitation is the inclusion of self-reported data, including doctor diagnosis of hypertension. The results of this study may emphasise a larger issue of the systemic undertreatment of women within healthcare; however, these results should be interpreted in the context of 2011 guidelines, which have since been superseded by 2019 NICE guidelines. Further research may seek to determine possible reasons for such differences in hypertensive care. Reference 1. Linden B. NICE guidance on primary hypertension National Institute for Health and Clinical Excellence (2011) Hypertension: Clinical Management of Primary Hypertension in Adults. NICE Clinical Guideline 127. British journal of cardiac nursing. 2011;6:582-584.

Adherence to an antioxidant diet and lifestyle is associated with reduced risk of cardiovascular disease and mortality among adults with nonalcoholic fatty liver disease: evidence from NHANES 1999-2018.

Nonalcoholic fatty liver disease (NAFLD) stands a prevalent chronic liver condition significantly influenced by oxidative stress. We investigated the unclear relationship between antioxidant-rich diet and lifestyle and cardiovascular disease (CVD) prevalence rate and mortality in adult patients with NAFLD. This study utilized data from the National Health and Nutrition Examination Survey (NHAENS) spanning from 1999 to 2018 to investigate the association between adherence to an antioxidant-rich diet and lifestyle and the cardiovascular disease (CVD) prevalence rate and mortality in adult patients with NAFLD. The study employed the Oxidative Balance Score (OBS) to define antioxidant diet and lifestyle. Including 8,670 adult patients with NAFLD, the study revealed an inverse association between OBS and the prevalence of most CVD conditions. Fully adjusted models demonstrated that each unit increase in diet OBS, lifestyle OBS, and overall OBS corresponded to a 2, 7, and 2% reduction in all-cause mortality, respectively. In models 2, findings revealed that lifestyle Q2 and Q3 were linked to reduced cancer mortality, whereas diet and overall OBS did not exhibit an association. Additionally, Stratified analysis revealed that age (<45 years) and education level (> high school) significantly influenced the association between the OBS and the prevalence of CVD. These results underscore the protective link between adherence to an antioxidant diet and lifestyle and a diminished prevalence of CVD and mortality in adults with NAFLD, particularly among younger and higher-educated populations.

Cardiovascular Disease Burden in Persons with Mental Illness: Comparison between a U.S. Psychiatry Outpatient Sample and a U.S. General Population Sample

Background. Cardiovascular disease (CVD) and depression are the leading causes of disability in the U.S. Using electronic health record data, we describe the CVD burden among persons with mental illness enrolled in the Penn State Psychiatry Clinical Assessment and Rating Evaluation System (PCARES) Registry between 2015 and 2020. Methods. CVD burden assessment included prevalence of CVD conditions (any major CVD or individual CVD risk factors), indicated medication prescriptions for CVD risk factors, and mean levels of body mass index (BMI, kg/m2), glycosylated hemoglobin (HbA1C, %), glucose (mg/dl), and lipids (mg/dl). We compared the CVD burden between the PCARES sample to a representative sample of adults from the U.S. general population (NHANES 2013-2016) using one-sample chi-square/t-tests for proportions/means. The CVD burden in NHANES participants was adjusted to PCARES age, race, and sex statistics. Results. The PCARES sample (N=3556) had a mean (SE) age of 42.4 (0.3) years and comprised 63.0% women, 85.0% non-Hispanic Caucasians, and 41.0% with major depressive disorder. CVD burden was higher in the PCARES sample compared to NHANES participants for any major CVD (8.6% vs. 4.6%), diabetes (18.4% vs. 10.4%), BMI (30.3 vs. 28.3), HbA1C (6.1 vs. 5.6), cholesterol (185.6 vs. 181.7), triglycerides (153.3 vs. 136.1), and indicated antihypertensive (94.3% vs. 76.9%) and cholesterol-lowering (49.5% vs. 36.7%) medications (Bonferroni-corrected p=0.03 for each outcome). The CVD burden was lower in the PCARES sample compared to NHANES participants for hypertension (45.9% vs. 50.4%), dyslipidemia (43.2% vs. 61.9%), HDL-C (48.4 vs. 41.4), and LDL-C (107.9 vs. 112.0) (Bonferroni-corrected p=0.03 for each outcome). Glucose levels (110.9 vs. 111.9) and indicated antidiabetic medications (87.4% vs. 86.6%) were similar in the two samples (p&gt;0.05). Conclusions. The CVD burden was higher in persons with mental illness compared to the U.S. general population. Integrated mental and physical healthcare services could reduce long-term disability among persons with mental illness.

Abstract MP66: Accelerometer Measured Diurnal Movement Patterns Associated With Frailty in Older Adults: UK Biobank

Introduction: Frailty is a significant health challenge for the aging population. Older adults with cardiovascular diseases (CVD) tend to be physically inactive and have a high risk of frailty. Little is known about the relationship between diurnal movement patterns and frailty and whether this association differs in older adults with and without CVD. Hypothesis: Less morning, afternoon, and evening movements but more night movements are associated with frailty, especially among those with CVD. Methods: This cross-sectional study included 10,082 participants ≥ 65 years (66.8±1.5 years; 49% female) from UK Biobank. CVD status was identified using ICD-9&amp;10 diagnosis and self-reported CVD. Participants wore Axivity AX3 on the dominant wrist for 7 days, 24 hours/day. Mean accelerations during night (12-6 am), morning (6 am-12 pm), afternoon (12-6 pm) and evening (6 pm-12 am) were calculated. Frailty was determined using Modified Fried Frailty Phenotype. Multivariate logistic regression models were used to examine associations between total movement and diurnal movement patterns with frailty, stratified by CVD status. Results: The diurnal movement patterns showed lower movements during night, increasing during morning, peaking at noon, and decreasing in afternoon and evening, with frail CVD adults having the lowest accelerations during all daytime hours (6 am-midnight). In both CVD and non-CVD older adults, each 5 mg higher overall mean acceleration was associated with 11-18% lower odds of frailty ( Table ). Each 5 mg higher mean acceleration during morning, afternoon and evening was associated with 5-10% lower odds of frailty ( Table ). Every 5 mg higher mean acceleration during night was associated with 14% higher odds of frailty only in non-CVD older adults ( Table ). Conclusions: More activity during any daytime period was associated with lower odds of frailty among older adults in both with and without CVD. Greater night activity was associated with higher odds of frailty, primarily observed in older adults without CVD.

Abstract P356: Women’s Reproductive Factors Are Associated With Future Risk of Hearing Loss

Introduction: The association between female reproductive factors and risk of hearing loss (HL) has been unclear. Hypothesis: Women’s reproductive factors have been associated with comorbidities such as cardiovascular disease and diabetes, which are all linked to hearing loss (HL). We thus hypothesized that reproductive factors might be associated with the risk of HL. Methods: We used data from the UK Biobank (UKB). Reproductive factors included number of children, age at the first/last birth, age at menarche, age at natural menopause, and reproductive period. HL was ascertained using the International Classification of Diseases 10th revision (ICD-10) codes H90 (conductive and sensorineural hearing loss) and H91 (other hearing loss). Cox proportional hazards models were used to examine the association between reproductive factors and hospital ascertained HL, considering death as a competitive event. In addition, we combined age at menopause with HRT status to see their joint effect on HL. All models were adjusted for age at baseline, ethnicity, education level, income, Townsend deprivation index, BMI, smoking status, drinking status, physical activities, cardiovascular disease, diabetes, and HRT use status. Results: Compared to women who had no child, women who had two, three and four or more children was linked to elevated risk of HL, with HR (95% CI) of 1.14 (1.04-1.25), 1.24 (1.11-1.38), and 1.35 (1.17-1.55), respectively. Compared to women who had first birth before age 25 years, women who had first birth greater than age 26 years had reduced risk of HL (0.84, 0.76-0.93). Women who gave last birth over age 40 years had elevated risk of HL (1.21, 1.01-1.45), compared to those who had last birth before age 35 years. Compared to women who had menopause at age 46-50 years, those who had early menopause less than age 45 years were associated with 24% higher risk of HL (1.24, 1.00-1.54). In addition, women with reproductive period less than 30 years had elevated risk of HL (1.19, 1.07-1.34), compared to women with reproductive period greater than 35 years. Women who had age at menopause greater than 50 years and used HRT had 25%-50% higher risk of HL, compared to their counterpart who did not use HRT. Conclusions: In conclusion, higher number of children, having first birth before age 25 years, having last birth after age 40 years, having menopause before age 45 years, and having reproductive period shorter than 30 years were associated with higher risk of hearing loss. In women with menopause age greater than 50 years, HRT use increased the risk of hearing loss.

Relationship between metabolic status, physical activity and cardiovascular disease in participants with obesity.

We aimed to investigate the independent and joint associations between metabolic status, PA (physical activity) and risk of CVD (cardiovascular disease) in participants with obesity. We included 109,301 adults with obesity free of baseline CVD enrolled from 2006 to 2010 in the UK Biobank cohort (aged 56 ± 7.9 years). Based on metabolic status, obesity was grouped into metabolically healthy obesity (MHO; free of hypertension, hypercholesterolemia and diabetes; n = 26,989; BMI 33 ± 3.3 kg/m2) and metabolically unhealthy obesity (MUO; n = 82,312; BMI 34 ± 4.0 kg/m2). PA was categorized into four groups according to moderate-to-vigorous PA (MVPA): none, low, medium, and high. Multivariable Cox regression models were used for the main analyses adjusting for sociodemographic factors, lifestyles and comorbidities. There were 8,059 CVD events during a median follow-up of 8.1 years. MHO was associated with a 42% reduced risk of CVD compared with MUO (HR = 0.58, 95% CI: 0.53-0.63). A significant interaction effect between PA and metabolic status on CVD risk was found. Among MUO participants, individuals with PA had significantly decreased CVD risk when compared with no MVPA (HR = 0.87, 95% CI: 0.81-0.94 for low PA; HR = 0.85, 95% CI: 0.78-0.93 for medium PA; and HR = 0.86, 95% CI: 0.80-0.92 for high PA). The lowest CVD risk was observed in MHO & medium PA group when compared with MUO & no MVPA (HR = 0.45, 95% CI: 0.37-0.56). Both MHO and any MVPA were associated with reduced risk of CVD in adults with obesity, while PA could modify the relationship between metabolic status and CVD risk.

Blood transfusion is correlated with elevated adult all-cause mortality and cardiovascular mortality in the United States: NHANES 1999 to 2018 population-based matched propensity score study

The association of blood transfusion with an increase in medium- and short-term mortality in specific populations has been confirmed. However, the correlation between blood transfusion and long-term mortality in the general population remains unclear. This cohort study evaluated the correlation between blood transfusion and overall and cause-specific mortality in the general American adult population. The authors utilized 10 sets of 2-year cycle data (1999-2018) from the National Health and Nutrition Examination Survey on the outcomes of adults who did and did not receive blood transfusions. Propensity score-matching (1:1) was performed based on age, sex, race, education level, marital status, poverty-income ratio, arteriosclerotic cardiovascular disease, cancer, anemia, hypertension, and diabetes status. After controlling for demographic characteristics and clinical risk factors, Cox regression analysis was performed to evaluate the correlation between blood transfusion and all-cause and cause-specific mortality. The study included 48,004 adult participants. The risk of all-cause mortality increased by 101 % with blood transfusion, and the risk of cardiovascular mortality increased by 165 %. After propensity score-matching, 6,116 pairs of cases were retained, and the risk of all-cause mortality increased by 84 % with blood transfusion, and the risk of cardiovascular mortality increased by 137 %. The sensitivity analysis results were robust. In the general American population, blood transfusion significantly impacts long-term all-cause and cardiovascular mortality and may be an unacknowledged risk factor for death. Thus, the effective management of blood transfusion in the general population may be beneficial.

Interactive association of the dietary oxidative balance score and cardiovascular disease with mortality in older adults: evidence from NHANES.

Objectives: We conducted an assessment to explore potential associations of the dietary oxidative balance score (DOBS), cardiovascular disease (CVD), with all-cause mortality among older adults, while also exploring the potential moderating effect of DOBS on the relationship between CVD and mortality. Methods: This study included 9059 older adults (≥60 years) from NHANES 2003-2014. Determination of DOBS involves scoring the combination of 16 nutrients, comprising 2 pro-oxidants and 14 anti-oxidants. Cox regression analysis was used to assess the individual associations of CVD and DOBS status with all-cause mortality. Additional evaluations were conducted to assess the combined impact of CVD and DOBS status on mortality, and the interaction were estimated. Sensitivity analyses were performed by excluding participants who died within two years. Results: The findings demonstrated a significant association between pro-oxidant diet (lower DOBS) or CVD and elevated mortality risk among older adults. It is also suggested that older adults with CVD and pro-oxidant diet exhibit the highest risk of all-cause mortality (HR = 1.96, 95% CI: 1.64-2.34), compared to individuals without CVD who follow an antioxidant-rich diet. Further stratified analysis based on CVD status revealed a different pattern in the correlation between pro-oxidant diet and all-cause mortality risk (P for interaction = 0.015). The results of sensitivity analysis were consistent. Conclusions: The lower levels of DOBS and/or CVD were significantly associated with an increased risk of all-cause mortality in older adults. Notably, we also identified a significant interaction between DOBS and CVD affecting all-cause mortality.

Selenium - a scoping review for Nordic Nutrition Recommendations 2023.

Selenium is an essential trace element in humans, critical to the normal physiology in all animal species. The main form of selenium in food is selenomethionine, selenocysteine and a variety of organic compounds, while inorganic salts mainly occur in food supplements. In animals and humans, selenium occurs as selenocysteine in selenoproteins encoded by 25 genes (specific selenium pool). Several selenoproteins are part of the antioxidant enzyme system and serve as oxido-reductases and in thyroid hormone regulation. SelenoproteinP (SELENOP) transports selenium to peripheral tissues, is the main plasma selenoprotein, and has been used as biomarker of selenium status and intake. SELENOP in plasma represents a saturable pool of selenium and is maximised at a selenium concentration in plasma of about 110 µg/L or an intake of selenomethionine at about 1.2 µg/kg body weight in adults. In Finland, with an estimated selenium intake of 88 µg/day in men and 68 µg/day in women, the average selenium concentration in plasma is about 110 µg/L. Imported wheat from selenium rich areas is an important dietary source in Norway. Dietary intakes in the Nordic and Baltic area vary from 39 to 88 µg/day in men and 22 to 68 µg/day in women, the highest levels were from Finland. Most intervention trials on the effect of selenium supplementation on health outcomes have been carried out in 'selenium-replete'-populations and show no beneficial effect, which from a nutritional point of view would rather not be expected. Some intervention studies conducted in populations low in selenium have showed a beneficial effect. Observational studies suggest an inverse relationship between selenium status and risk of cardiovascular diseases (CVDs), cancer and all-cause mortality, and some other outcomes at low levels of intake (<55 µg/day) or in plasma or serum (<100 µg/L). However, a lack of quantitative data and inconsistencies between studies precludes these studies to be used to derive dietary reference values. At high intakes above 330 to 450 µg/day selenium may cause toxic effects affecting liver, peripheral nerves, skin, nails, and hair. An upper tolerable level (UL) of 255 µg selenium/day in adults was established by EFSA.

A multiplexed immunochemical microarray for the determination of cardiovascular disease biomarkers

A fluorescence antibody microarray has been developed for the determination of relevant cardiovascular disease biomarkers for the analysis of human plasma samples. Recording characteristic protein molecular fingerprints to assess individual’s states of health could allow diagnosis to go beyond the simple identification of the disease, providing information on its stage or prognosis. Precisely, cardiovascular diseases (CVDs) are complex disorders which involve different degenerative processes encompassing a collection of biomarkers related to disease progression or stage. The novel approach that we propose is a fluorescent microarray chip has been developed accomplishing simultaneous determination of the most significant cardiac biomarkers in plasma aiming to determine the CVD status stage of the patient. As proof of concept, we have chosen five relevant biomarkers, C-reactive protein (CRP) as biomarker of inflammation, cystatin C (CysC) as biomarker of renal failure that is directly related with heart failure, cardiac troponin I (cTnI) as already established biomarker for cardiac damage, heart fatty acid binding protein as biomarker of ischemia (H-FABP), and finally, NT-proBNP (N-terminal pro-brain natriuretic peptide), a well-established heart failure biomarker. After the optimization of the multiplexed microarray, the assay allowed the simultaneous determination of 5 biomarkers in a buffer solution reaching LODs of 15 ± 5, 3 ± 1, 24 ± 3, 25 ± 3, and 3 ± 1 ng mL−1, for CRP, CysC, H-FABP, cTnI, and NT-proBNP, respectively. After solving the matrix effect, and demonstrating the accuracy for each biomarker, the chip was able to determine 24 samples per microarray chip. Then, the microarray has been used on a small pilot clinical study with 29 plasma samples from clinical patients which suffered different CVD and other related disorders. Results show the superior capability of the chip to provide clinical information related to the disease in terms of turnaround time (1 h 30 min total assay and measurement) and amount of information delivered in respect to reference technologies used in hospital laboratories (clinical analyzers). Despite the failure to detect c-TnI at the reported threshold, the microarray technology could be a powerful approach to diagnose the cardiovascular disease at early stage, monitor its progress, and eventually providing information about an eminent potential risk of suffering a myocardial infarction. The microarray chip here reported could be the starting point for achieving powerful multiplexed diagnostic technologies for the diagnosis of CVDs or any other pathology for which biomarkers have been identified at different stages of the disease.Graphical

Prevalence of Adult Type 2 Diabetes Mellitus and Related Complications in Alberta, Canada: A Retrospective, Observational Study Using Administrative Data

ObjectivesType 2 diabetes mellitus (T2DM) is a prevalent chronic disease and a leading cause of morbidity/mortality in Canada. We evaluated the burden of T2DM in Alberta, Canada, by estimating the 5-year period prevalence of T2DM and rates of comorbidities and complications/conditions after T2DM. MethodsWe conducted a population-based, retrospective study linking administrative health databases. Individuals with T2DM (≥18 years of age) were identified between 2008–2009 and 2018–2019 using a published algorithm, with follow-up data to March 2020. The 5-year period prevalence was estimated for 2014–2015 to 2018–2019. Individuals with newly identified T2DM, ascertained between 2010–2011 and 2017–2018 with a lookback period between 2008–2009 and 2009–2010 and a minimum 1 year of follow-up data, were evaluated for subsequent cardiovascular, diabetic, renal, and other complication/condition frequencies (%) and rates (per 100 person-years). Complications/conditions were stratified by atherosclerotic cardiovascular disease (ASCVD) status at index and age. ResultsThe 5-year period prevalence of T2DM was 11,051 per 100,000 persons, with the highest prevalence in men 65 to <75 years of age. There were 195,102 individuals included in the cohort (mean age 56.7±14.7 years). The most frequently reported complications/conditions (rates per 100 person-years) were acute infection (23.10, 95% confidence interval [CI] 23.00 to 23.30), hypertension (17.30, 95% CI 16.80 to 17.70), and dyslipidemia (12.20, 95% CI 11.90 to 12.40). Individuals who had an ASCVD event/procedure and those ≥75 years of age had higher rates of complications/conditions. ConclusionsWe found that over half of the individuals had hypertension or infection after T2DM. Also, those with ASCVD had higher rates of complications/conditions. Strategies to mitigate complications/conditions after T2DM are required to reduce the burden of this disease on individuals and health-care systems.

Regular aspirin use among a sample of American Indians/Alaskan Natives in the Upper Midwest region of the United States

Despite high prevalence of cardiovascular disease (CVD) and CVD risk factors among American Indian or Alaska Native adults (AI/AN), there is little information on aspirin use in this population. This survey-based study seeks to understand prevalence of aspirin use in a sample of AI/AN adults in the Upper Midwestern United States. In-person and telephone based surveys were conducted querying self-reported CVD and CVD risk factors, aspirin use, and aspirin related discussion with clinicians. A total of 237 AI/AN participants were included: mean age (SD) was 60.8 (8.4) years; 143 (60 %) were women; 59 (25 %) reported CVD history. CVD risk factors were common particularly smoking (37 %) and diabetes (37 %).Aspirin use was much higher among those with CVD (secondary prevention, 76 %) than those without (primary prevention, 33 %). Primary prevention aspirin use was significantly associated with age and all CVD risk factors in unadjusted analyses. After adjustment for demographics and CVD risk factors, only age (aRR 1.13 per 5 years, 95 % CI 1.02, 1.25) and diabetes (aRR 2.44, 95 % CI 1.52, 3.92) remained significantly associated with aspirin. Regardless of CVD status, a higher proportion of those taking aspirin reported a conversation about aspirin with their doctor compared to those not taking aspirin. Among participants with no CVD, those who had such a conversation were 2.6 times more likely to use aspirin than those who did not have a conversation (aRR 2.64, 95 % CI 1.58, 4.44). The findings of this study emphasize the importance of the patient-provider relationship for preventive therapy.

Changing character and waning impact of COVID-19 at a tertiary centre in Cape Town, South Africa.

The emergence of genetic variants of SARS-CoV-2 was associated with changing epidemiological characteristics throughout coronavirus disease 2019 (COVID-19) pandemic in population-based studies. Individual-level data on the clinical characteristics of infection with different SARS-CoV-2 variants in African countries is less well documented. To describe the evolving clinical differences observed with the various SARS-CoV-2 variants of concern and compare the Omicron-driven wave in infections to the previous Delta-driven wave. We performed a retrospective observational cohort study among patients admitted to a South African referral hospital with COVID-19 pneumonia. Patients were stratified by epidemiological wave period, and in a subset, the variants associated with each wave were confirmed by genomic sequencing. Outcomes were analysed by Cox proportional hazard models. We included 1689 patients were included, representing infection waves driven predominantly by ancestral, Beta, Delta and Omicron BA1/BA2 & BA4/BA5 variants. Crude 28-day mortality was 25.8% (34/133) in the Omicron wave period versus 37.1% (138/374) in the Delta wave period (hazard ratio [HR] 0.68 [95% CI 0.47-1.00] p = 0.049); this effect persisted after adjustment for age, gender, HIV status and presence of cardiovascular disease (adjusted HR [aHR] 0.43 [95% CI 0.28-0.67] p < 0.001). Hospital-wide SARS-CoV-2 admissions and deaths were highest during the Delta wave period, with a decoupling of SARS-CoV-2 deaths and overall deaths thereafter. There was lower in-hospital mortality during Omicron-driven waves compared with the prior Delta wave, despite patients admitted during the Omicron wave being at higher risk. This study summarises clinical characteristics associated with SARS-CoV-2 variants during the COVID-19 pandemic at a South African tertiary hospital, demonstrating a waning impact of COVID-19 on healthcare services over time despite epidemic waves driven by new variants. Findings suggest the absence of increasing virulence from later variants and protection from population and individual-level immunity.

Effect of sodium-glucose cotransporter-2 inhibitors on myocardial infarction incidence: A systematic review and meta-analysis of randomized controlled trials and cohort studies.

To assess whether sodium-glucose cotransporter-2 (SGLT2) inhibitors reduce myocardial infarction (MI) incidence in patients with or without type 2 diabetes. PubMed, Embase, Web of Science, the Cochrane library, and https://ClinicalTrials.gov were searched up to 7 May 2022. Randomized controlled trials (RCTs) and cohort studies reporting the effects of SGLT2 inhibitor treatment on MI incidence were included. Relative risks (RRs) with a 95% confidence interval (CI) for MI incidence were extracted and pooled. Subgroup analysis and meta-regression were performed to explore the heterogeneity. This meta-analysis included 54 RCTs and 32 cohort studies, with data from six SGLT2 inhibitors and 3 394 423 individuals. In the overall analysis, SGLT2 inhibitors significantly reduced MI incidence in RCTs (RR 0.9, 95% CI 0.84-0.96) and cohort studies (RR 0.89, 95% CI 0.83-0.94). In RCTs,the results of the subgroup analysis revealed no significant alterations in outcomes based on different SGLT2 inhibitor types, control drug types, cardiovascular disease (CVD) status and sources of outcome extraction (p for interaction >0.05). In cohort studies, the presence or absence of CVD led to similar effects of SGLT2 inhibitors on decreasing MI incidence (p for interaction = 0.179). However, variations in results were observed based on the type of control group in cohort studies (p for interaction = 0.036). Meta-regression results did not reveal an association between baseline cardiovascular risk factors, follow-up length, or MI incidence. In both RCTs and cohort studies, SGLT2 inhibitors reduced MI incidence. The cardioprotective effects of SGLT2 inhibitors were observed in patients with and without a history of CVD.

Unfavorable social determinants of health and mortality risk by cardiovascular disease status: Findings from a National Study of United States Adults

Unfavorable social determinants of health and mortality risk by cardiovascular disease status: Findings from a National Study of United States Adults

Development of an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care: A study protocol.

Cardiovascular disease (CVD) and cancer are the first and second causes of death in over 130 countries across the world. They are also among the top three causes in almost 180 countries worldwide. Cardiovascular complications are often noticed in cancer patients, with nearly 20% exhibiting cardiovascular comorbidities. Physical exercise may be helpful for cancer survivors and people living with cancer (PLWC), as it prevents relapses, CVD, and cardiotoxicity. Therefore, it is beneficial to recommend exercise as part of cardio-oncology preventive care. With the progress of deep learning algorithms and the improvement of big data processing techniques, artificial intelligence (AI) has gradually become popular in the fields of medicine and healthcare. In the context of the shortage of medical resources in China, it is of great significance to adopt AI and machine learning methods for prescription recommendations. This study aims to develop an interpretable machine learning-based intelligent system of exercise prescription for cardio-oncology preventive care, and this paper presents the study protocol. This will be a retrospective machine learning modeling cohort study with interventional methods (i.e., exercise prescription). We will recruit PLWC participants at baseline (from 1 January 2025 to 31 December 2026) and follow up over several years (from 1 January 2027 to 31 December 2028). Specifically, participants will be eligible if they are (1) PLWC in Stage I or cancer survivors from Stage I; (2) aged between 18 and 55 years; (3) interested in physical exercise for rehabilitation; (4) willing to wear smart sensors/watches; (5) assessed by doctors as suitable for exercise interventions. At baseline, clinical exercise physiologist certificated by the joint training program (from 1 January 2023 to 31 December 2024) of American College of Sports Medicine and Chinese Association of Sports Medicine will recommend exercise prescription to each participant. During the follow-up, effective exercise prescription will be determined by assessing the CVD status of the participants. This study aims to develop not only an interpretable machine learning model to recommend exercise prescription but also an intelligent system of exercise prescription for precision cardio-oncology preventive care. This study is approved by Human Experimental Ethics Inspection of Guangzhou Sport University. http://www.chictr.org.cn, identifier ChiCTR2300077887.