Long-Term Risk of Arterial Thrombosis After Intracerebral Hemorrhage: MUCH-Italy.

BACKGROUND: The identification of patients surviving an acute intracerebral hemorrhage who are at a long-term risk of arterial thrombosis is a poorly defined, crucial issue for clinicians. METHODS: In the setting of the MUCH-Italy (Multicenter Study on Cerebral Haemorrhage in Italy) prospective observational cohort, we enrolled and followed up consecutive 30-day intracerebral hemorrhage survivors to assess the long-term incidence of arterial thrombotic events, to assess the impact of clinical and radiological variables on the risk of these events, and to develop a tool for estimating such a risk at the individual level. Primary end point was a composite of ischemic stroke, myocardial infarction, or other arterial thrombotic events. A point-scoring system was generated by the ß-coefficients of the variables independently associated with the long-term risk of arterial thrombosis, and the predictive MUCH score was calculated as the sum of the weighted scores. RESULTS: Overall, 1729 patients (median follow-up time, 43 months [25th to 75th percentile, 69.0]) qualified for inclusion. Arterial thrombotic events occurred in 169 (9.7%) patients. Male sex, diabetes, hypercholesterolemia, atrial fibrillation, and personal history of coronary artery disease were associated with increased long-term risk of arterial thrombosis, whereas the use of statins and antithrombotic medications after the acute intracerebral hemorrhage was associated with a reduced risk. The area under the receiver operating characteristic curve of the MUCH score predictive validity was 0.716 (95% CI, 0.56-0.81) for the 0- to 1-year score, 0.672 (95% CI, 0.58-0.73) for the 0- to 5-year score, and 0.744 (95% CI, 0.65-0.81) for the 0- to 10-year score. C statistic for the prediction of events that occur from 0 to 10 years was 0.69 (95% CI, 0.64-0.74). CONCLUSIONS: Intracerebral hemorrhage survivors are at high long-term risk of arterial thrombosis. The MUCH score may serve as a simple tool for risk estimation.

Breakfast quality and its sociodemographic and psychosocial correlates among Italian children, adolescents, and adults from the Italian Nutrition & HEalth Survey (INHES) study.

BACKGROUND: Breakfast quality, together with regularity of breakfast, has been suggested to be associated with cardiometabolic health advantages. We aimed to evaluate the quality of breakfast and its socioeconomic and psychosocial correlates in a large sample of the Italian population. METHODS: Cross-sectional analyses on 7,673 adult and 505 children/adolescent regular breakfast eaters from the Italian Nutrition & Health Survey (INHES; 2010-2013). Dietary data were collected through a single 24-h dietary recall. Breakfast quality was assessed through the Breakfast Quality Index (BQI) combining intake of ten food groups, energy, and nutrients of public health concern, and potentially ranging from 0 to 10. The association of sociodemographic and psychosocial factors with BQI were analyzed by multivariable-adjusted linear regression models. RESULTS: The average BQI was 4.65 (SD ± 1.13) and 4.97 (SD ± 1.00) in adults and children/adolescents, respectively. Amongst adults, older age (ß = 0.19; 95%CI 0.06 to 0.31 for > 65 vs. 20-40 years) and having a high educational level (ß = 0.13; 0.03 to 0.23; for postsecondary vs. up to elementary) were independent predictors of better breakfast quality, while men reported lower BQI (ß = -0.08; -0.14 to -0.02 vs. women). Perceived stress levels at home and work and financial stress were inversely associated with BQI. Children/adolescents living in Central and Southern Italian regions had lower BQI compared to residents in Northern Italy (ß = -0.55; -0.91 to -0.19 and ß = -0.24; -0.47 to -0.01, respectively). CONCLUSIONS: In adults, breakfast quality was associated with age, sex, and educational level. Perceived stress levels were inversely associated with the quality of breakfast. In children/adolescents, a north-south gradient in breakfast quality was observed.

Prognostic Value of Cardiovascular Biomarkers in the Population.

Importance: Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies. Objective: To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors. Design, Setting, and Participants: Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age. The median follow-up was 11.8 years. Exposure: Measurement of high-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, B-type natriuretic peptide, or high-sensitivity C-reactive protein. Main Outcomes and Measures: The primary outcome was incident atherosclerotic cardiovascular disease, which included all fatal and nonfatal events. The secondary outcomes were all-cause mortality, heart failure, ischemic stroke, and myocardial infarction. Subdistribution hazard ratios (HRs) for the association of biomarkers and outcomes were calculated after adjustment for established risk factors. The additional predictive value of the biomarkers was assessed using the C statistic and reclassification analyses. Results: The analyses included 164 054 individuals (median age, 53.1 years [IQR, 42.7-62.9 years] and 52.4% were women). There were 17 211 incident atherosclerotic cardiovascular disease events. All biomarkers were significantly associated with incident atherosclerotic cardiovascular disease (subdistribution HR per 1-SD change, 1.13 [95% CI, 1.11-1.16] for high-sensitivity cardiac troponin I; 1.18 [95% CI, 1.12-1.23] for high-sensitivity cardiac troponin T; 1.21 [95% CI, 1.18-1.24] for N-terminal pro-B-type natriuretic peptide; 1.14 [95% CI, 1.08-1.22] for B-type natriuretic peptide; and 1.14 [95% CI, 1.12-1.16] for high-sensitivity C-reactive protein) and all secondary outcomes. The addition of each single biomarker to a model that included established risk factors improved the C statistic. For 10-year incident atherosclerotic cardiovascular disease in younger people (aged <65 years), the combination of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein resulted in a C statistic improvement from 0.812 (95% CI, 0.8021-0.8208) to 0.8194 (95% CI, 0.8089-0.8277). The combination of these biomarkers also improved reclassification compared with the conventional model. Improvements in risk prediction were most pronounced for the secondary outcomes of heart failure and all-cause mortality. The incremental value of biomarkers was greater in people aged 65 years or older vs younger people. Conclusions and Relevance: Cardiovascular biomarkers were strongly associated with fatal and nonfatal cardiovascular events and mortality. The addition of biomarkers to established risk factors led to only a small improvement in risk prediction metrics for atherosclerotic cardiovascular disease, but was more favorable for heart failure and mortality.

Association between BMI, RFM and mortality and potential mediators: Prospective findings from the Moli-sani study.

BACKGROUND: Body mass index (BMI) is the most frequently used adiposity measure, yet it is unable to differentiate fat mass from lean mass. Relative fat mass (RFM) has been proposed as an alternative. This paper aims to study RFM and BMI association with mortality in a general Italian population and potential mediators of such association. METHODS: 20,587 individuals from the Moli-sani cohort were analysed (mean age = 54 ± 11, women = 52%, median follow up = 11.2 years, interquartile range = 1.96 years). Cox regressions were used to assess BMI, RFM, and their interactive association with mortality. Dose-response relationships were computed with spline regression, mediation analysis was performed. All analyses were separated for men and women. RESULTS: Men and women with BMI > 35 kg/m2 and men in the 4th quartile of RFM showed an independent association with mortality (HR = 1.71, 95% CI = 1.30-2.26 BMI in men, HR = 1.37, 95%CI = 1.01-1.85 BMI in women, HR = 1.37 CI 95% = 1.11-1.68 RFM in men), that was lost once adjusted for potential mediators. Cubic splines showed a U-shaped association for BMI in men and women, and for RFM in men. Mediation analysis showed that 46.5% of the association of BMI with mortality in men was mediated by glucose, C reactive protein, forced expiratory volume in 1 s (FEV1), and cystatin C; 82.9% of the association of BMI in women was mediated by HOMA index, cystatin C and FEV1; lastly, 55% of RFM association with mortality was mediated by glucose, FEV1 and cystatin C. Regression models including BMI and RFM showed that RFM drives most of the risk in men, but is not predictive in women. CONCLUSIONS: The association between anthropometric measures and mortality was U shaped and it was largely dependent on sex. Associations were mediated by glucose metabolism, renal and lung function. Public health interventions should mainly focus on people with severe obesity or impaired metabolic, renal, or respiratory function.

Risk prediction of atrial fibrillation and its complications in the community using hs troponin I.

AIMS: Atrial fibrillation (AF) is becoming increasingly common. Traditional cardiovascular risk factors (CVRF) do not explain all AF cases. Blood-based biomarkers reflecting cardiac injury such as high-sensitivity troponin I (hsTnI) may help close this gap. METHODS: We investigated the predictive ability of hsTnI for incident AF in 45,298 participants (median age 51.4 years, 45.0% men) across European community cohorts in comparison to CVRF and established biomarkers (C-reactive protein, N-terminal pro B-type natriuretic peptide). RESULTS: During a median follow-up of 7.7 years, 1734 (3.8%) participants developed AF. Those in the highest hsTnI quarter (≥4.2 ng/L) had a 3.91-fold (95% confidence interval (CI) 3.30, 4.63; p < .01) risk for developing AF compared to the lowest quarter (<1.4 ng/L). In multivariable-adjusted Cox proportional hazards models a statistically significant association was seen between hsTnI and AF (hazard ratio (HR) per 1 standard deviation (SD) increase in log10(hsTnI) 1.08; 95% CI 1.01, 1.16; p = .03). Inclusion of hsTnI did improve model discrimination (C-index CVRF 0.811 vs. C-index CVRF and hsTnI 0.813; p < .01). Higher hsTnI concentrations were associated with heart failure (HR per SD 1.37; 95% CI 1.12, 1.68; p < .01) and overall mortality (HR per SD 1.24; 95% CI 1.09, 1.41; p < .01). CONCLUSION: hsTnI as a biomarker of myocardial injury does not improve prediction of AF incidence beyond classical CVRF and NT-proBNP. However, it is associated with the AF-related disease heart failure and mortality likely reflecting underlying subclinical cardiovascular impairment.

Exploring the incremental utility of circulating biomarkers for robust risk prediction of incident atrial fibrillation in European cohorts using regressions and modern machine learning methods.

AIMS: To identify robust circulating predictors for incident atrial fibrillation (AF) using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables. METHODS AND RESULTS: In pooled European community cohorts (n = 42 280 individuals), 14 routinely available biomarkers mirroring distinct pathophysiological pathways including lipids, inflammation, renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) were examined in relation to incident AF using Cox regressions and distinct ML methods. Of 42 280 individuals (21 843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.7, 62.0] years), 1496 (3.5%) developed AF during a median follow-up time of 5.7 years. In multivariable-adjusted Cox-regression analysis, NT-proBNP was the strongest circulating predictor of incident AF [hazard ratio (HR) per standard deviation (SD), 1.93 (95% CI, 1.82-2.04); P < 0.001]. Further, hsTnI [HR per SD, 1.18 (95% CI, 1.13-1.22); P < 0.001], cystatin C [HR per SD, 1.16 (95% CI, 1.10-1.23); P < 0.001], and C-reactive protein [HR per SD, 1.08 (95% CI, 1.02-1.14); P = 0.012] correlated positively with incident AF. Applying various ML techniques, a high inter-method consistency of selected candidate variables was observed. NT-proBNP was identified as the blood-based marker with the highest predictive value for incident AF. Relevant clinical predictors were age, the use of antihypertensive medication, and body mass index. CONCLUSION: Using different variable selection procedures including ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF and ranked before classical cardiovascular risk factors. The clinical benefit of these findings for identifying at-risk individuals for targeted AF screening needs to be elucidated and tested prospectively.

Drinking alcohol in moderation is associated with lower rate of all-cause mortality in individuals with higher rather than lower educational level: findings from the MORGAM project.

The association between socioeconomic status (SES) and alcohol-related diseases has been widely explored. Less is known, however, on whether the association of moderate drinking with all-cause mortality is modified by educational level (EL). Using harmonized data from 16 cohorts in the MORGAM Project (N = 142,066) the association of pattern of alcohol intake with hazard of all-cause mortality across EL (lower = primary-school; middle = secondary-school; higher = university/college degree) was assessed using multivariable Cox-regression and spline curves. A total of 16,695 deaths occurred in 11.8 years (median). In comparison with life-long abstainers, participants drinking 0.1-10 g/d of ethanol had 13% (HR = 0.87; 95%CI: 0.74-1.02), 11% (HR = 0.89; 0.84-0.95) and 5% (HR = 0.95; 0.89-1.02) lower rate of death in higher, middle and lower EL, respectively. Conversely, drinkers > 20 g/d had 1% (HR = 1.01; 0.82-1.25), 10% (HR = 1.10; 1.02-1.19) and 17% (HR = 1.17; 1.09-1.26) higher rate of death. The association of alcohol consumption with all-cause mortality was nonlinear, with a different J-shape by EL levels. It was consistent across both sexes and in various approaches of measuring alcohol consumption, including combining quantity and frequency and it was more evident when the beverage of preference was wine. We observed that drinking in moderation (≤ 10 g/d) is associated with lower mortality rate more evidently in individuals with higher EL than in people with lower EL, while heavy drinking is associated with higher mortality rate more evidently in individuals with lower EL than in people with higher EL, suggesting that advice on reducing alcohol intake should especially target individuals of low EL.

Ultra-processed food intake and all-cause and cause-specific mortality in individuals with cardiovascular disease: the Moli-sani Study.

AIMS: To evaluate the association of ultra-processed food (UPF) intake and mortality among individuals with history of cardiovascular disease (CVD) and analyse some biological pathways possibly relating UPF intake to death. METHODS AND RESULTS: Longitudinal analysis on 1171 men and women (mean age: 67 ± 10 years) with history of CVD, recruited in the Moli-sani Study (2005-10, Italy) and followed for 10.6 years (median). Food intake was assessed using a food frequency questionnaire. UPF was defined using the NOVA classification according to degree of processing and categorized as quartiles of the ratio (%) between UPF (g/day) and total food consumed (g/day). The mediating effects of 18 inflammatory, metabolic, cardiovascular, and renal biomarkers were evaluated using a logistic regression model within a counterfactual framework. In multivariable-adjusted Cox analyses, higher intake of UPF (Q4, ≥11.3% of total food), as opposed to the lowest (Q1, UPF <4.7%), was associated with higher hazards of all-cause (hazard ratio [HR]: 1.38; 95% confidence interval (CI): 1.00-1.91) and CVD mortality (HR: 1.65; 95% CI: 1.07-2.55). A linear dose-response relationship of 1% increment in UPF intake with all-cause and CVD mortality was also observed. Altered levels of cystatin C explained 18.3% and 16.6% of the relation between UPF (1% increment in the diet) with all-cause and CVD mortality, respectively. CONCLUSION: A diet rich in UPF is associated with increased hazards of all-cause and CVD mortality among individuals with prior cardiovascular events, possibly through an altered renal function. Elevated UPF intake represents a major public health concern in secondary CVD prevention.

Habitual adherence to a traditional Mediterranean diet and risk of SARS-CoV-2 infection and Coronavirus disease 2019 (COVID-19): a longitudinal analysis.

Evidence on habitual Mediterranean diet (MD) and risk of SARS-CoV-2 infection, and COVID-19 is limited. 1,520 participants from the Moli-sani Study (2017-2020) were tested during January-September 2021 and adherence to MD was ascertained through the Mediterranean Diet Score (MDS). SARS-CoV-2 infection cases were determined through serology, and previous clinical diagnosis of COVID-19 disease was self-reported. Results were presented as odd ratios (OR) with 95% confidence intervals (CI). The MDS was not associated with the likelihood of SARS-CoV-2 infection (OR= 0.94; 95% CI: 0.83-1.06) and COVID-19 (OR= 0.82; 95% CI: 0.62-1.10) diagnosis. High consumption of cereals was associated with lower odds of SARS-CoV-2 infection (OR = 0.91; 95% CI: 0.83-1.00; for each 25 g/d increase). Likelihood of having being diagnosed with COVID-19 disease decreased in association with increasing olive oil intake (OR= 0.10; 95% CI: 0.01-0.79; for each additional 10 g/d), moderate alcohol consumption (OR= 0.18; 95% CI: 0.04-0.82) and higher intakes of fruits and nuts (OR = 0.89; 95% CI: 0.79-0.99). Our findings emphasise the adoption and maintenance of a balanced MD as a key strategy to reduce the risk of future SARS-CoV-2 infections and COVID-19.

Influence of geographical latitude on vitamin D status: cross-sectional results from the BiomarCaRE consortium.

Even though sunlight is viewed as the most important determinant of 25-hydroxyvitamin D (25(OH)D) status, several European studies have observed higher 25(OH)D concentrations among north-Europeans than south-Europeans. We studied the association between geographical latitude (derived from ecological data) and 25(OH)D status in six European countries using harmonised immunoassay data from 81 084 participants in the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project (male sex 48·9 %; median age 50·8 years; examination period 1984-2014). Quantile regression models, adjusted for age, sex, decade and calendar week of sampling and time from sampling to analysis, were used for between-country comparisons. Up until the median percentile, the ordering of countries by 25(OH)D status (from highest to lowest) was as follows: Sweden (at 65·6-63·8°N), Germany (at 48·4°N), Finland (at 65·0-60·2°N), Italy (at 45·6-41·5°N), Scotland (at 58·2-55·1°N) and Spain (at 41·5°N). From the 75th percentile and upwards, Finland had higher values than Germany. As an example, using the Swedish cohort as a comparator, the median 25(OH)D concentration was 3·03, 3·28, 5·41, 6·54 and 9·28 ng/ml lower in the German, Finnish, Italian, Scottish and Spanish cohort, respectively (P-value < 0·001 for all comparisons). The ordering of countries was highly consistent in subgroup analyses by sex, age, and decade and season of sampling. In conclusion, we confirmed the previous observation of a north-to-south gradient of 25(OH)D status in Europe, with higher percentile values among north-Europeans than south-Europeans.

Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageing.

Deep Neural Networks (DNN) have been recently developed for the estimation of Biological Age (BA), the hypothetical underlying age of an organism, which can differ from its chronological age (CA). Although promising, these population-specific algorithms warrant further characterization and validation, since their biological, clinical and environmental correlates remain largely unexplored. Here, an accurate DNN was trained to compute BA based on 36 circulating biomarkers in an Italian population (N = 23,858; age ≥ 35 years; 51.7% women). This estimate was heavily influenced by markers of metabolic, heart, kidney and liver function. The resulting Δage (BA-CA) significantly predicted mortality and hospitalization risk for all and specific causes. Slowed biological aging (Δage < 0) was associated with higher physical and mental wellbeing, healthy lifestyles (e.g. adherence to Mediterranean diet) and higher socioeconomic status (educational attainment, household income and occupational status), while accelerated aging (Δage > 0) was associated with smoking and obesity. Together, lifestyles and socioeconomic variables explained ~48% of the total variance in Δage, potentially suggesting the existence of a genetic basis. These findings validate blood-based biological aging as a marker of public health in adult Italians and provide a robust body of knowledge on its biological architecture, clinical implications and potential environmental influences.

Psychological distress resulting from the COVID-19 confinement is associated with unhealthy dietary changes in two Italian population-based cohorts.

PURPOSE: To examine the relationship between psychological distress resulting from the COVID-19 lockdown and dietary changes. METHODS: Cross-sectional analysis from 2 retrospective Italian cohorts recruited from May to September 2020: (1) The Moli-LOCK cohort consists of 1401 participants from the Moli-sani Study (n = 24,325) who were administered a telephone-based questionnaire to assess lifestyles and psychological factors during confinement; (2) the ALT RISCOVID-19 is a web-based survey of 1340 individuals distributed throughout Italy who self-responded to the same questionnaire using Google® forms. Psychological distress was measured by assessments of depression (PHQ-9 and depressive items from the Screening Questionnaire for Disaster Mental Health- SQD-D), anxiety (GAD-7), stress (PSS-4), and post-traumatic stress disorder (SQD-P). Diet quality was assessed either as changes in consumption of ultra-processed foods (UPF) or adherence to Mediterranean diet (MD). RESULTS: In ALT RISCOVID-19, increased UPF intake was directly associated with depression (both PHQ-9 and SQD-D; p < 0.0001), anxiety (p < 0.0001), stress (p = 0.001) and SQD-P (p = 0.001); similar results were obtained in the Moli-LOCK cohort except for perceived stress. When psychometric scales were analysed simultaneously, only depression (SQD-D) remained associated with UPF (both cohorts). In both cohorts, psychological distress poorly influenced changes toward an MD, except for depression (SQD-D) that resulted inversely associated in the ALT RISCOVID-19 participants (ß = - 0.16; 95% CI - 0.26, - 0.06). CONCLUSIONS: Psychological distress from the COVID-19 confinement is directly associated with unhealthy dietary modifications in two Italian cohorts. In view of possible future restrictive measures to contain pandemic, public health actions are warranted to mitigate the impact of psychological distress on diet quality.

Fine-grained investigation of the relationship between human nutrition and global DNA methylation patterns.

PURPOSE: Nutrition is an important, modifiable, environmental factor affecting human health by modulating epigenetic processes, including DNA methylation (5mC). Numerous studies investigated the association of nutrition with global and gene-specific DNA methylation and evidences on animal models highlighted a role in DNA hydroxymethylation (5hmC) regulation. However, a more comprehensive analysis of different layers of nutrition in association with global levels of 5mC and 5hmC is lacking. We investigated the association between global levels of 5mC and 5hmC and human nutrition, through the stratification and analysis of dietary patterns into different nutritional layers: adherence to Mediterranean diet (MD), main food groups, macronutrients and micronutrients intake. METHODS: ELISA technique was used to measure global 5mC and 5hmC levels in 1080 subjects from the Moli-sani cohort. Food intake during the 12 months before enrolment was assessed using the semi-quantitative EPIC food frequency questionnaire. Complementary approaches involving both classical statistics and supervised machine learning analyses were used to investigate the associations between global 5mC and 5hmC levels and adherence to Mediterranean diet, main food groups, macronutrients and micronutrients intake. RESULTS: We found that global DNA methylation, but not hydroxymethylation, was associated with daily intake of zinc and vitamin B3. Random Forests algorithms predicting 5mC and 5hmC through intakes of food groups, macronutrients and micronutrients revealed a significant contribution of zinc, while vitamin B3 was reported among the most influential features. CONCLUSION: We found that nutrition may affect global DNA methylation, suggesting a contribution of micronutrients previously implicated as cofactors in methylation pathways.

Dietary factors and the risk of lumbar spinal stenosis: A case-control analysis from the PREFACE study.

BACKGROUND AND AIMS: There is a lack of knowledge on the association of dietary factors and Lumbar Spinal Stenosis (LSS). We evaluated the association of a Mediterranean diet (MD), its major food components and ultra-processed food (UPF) with the risk of LSS. METHODS AND RESULTS: Participants were recruited from the Neurosurgery Department of the IRCCS Neuromed, Italy. The study sample consisted of 156 cases of LSS, and 312 controls matched 1:2 for sex, age (±6 months) and physical activity, without a history or clinical evidence of LSS who were identified from the general population. Adherence to MD was assessed by the Mediterranean Diet Score based on 9 food groups. UPF was defined according to NOVA classification and calculated as the ratio (%) of UPF (g/d) on total food consumed (g/d). In multivariable-adjusted analysis, a 2-point increase in the MD score was not associated with LSS risk (OR: 1.02, 95% CI: 0.72-1.46). An increment of 10 g/d of fruits and nuts, cereals or fish led to lower odds of LSS (OR: 0.97, 95% CI: 0.95-0.99; OR: 0.88, 95% CI: 0.82-0.94; OR: 0.87, 95% CI: 0.76-0.99, respectively). Additionally, 1% increment in the consumption of UPF in the diet was independently associated with higher LSS risk (OR: 1.09, 95% CI: 1.04-1.14). CONCLUSION: A diet rich in fruits, cereals, fish is associated with lower risk of LSS while a large dietary share of UPF increases the risk of this disease. Further studies with a prospective design and larger sample sizes are warranted.

Alcohol consumption, cardiac biomarkers, and risk of atrial fibrillation and adverse outcomes.

AIMS: There is inconsistent evidence on the relation of alcohol intake with incident atrial fibrillation (AF), in particular at lower doses. We assessed the association between alcohol consumption, biomarkers, and incident AF across the spectrum of alcohol intake in European cohorts. METHODS AND RESULTS: In a community-based pooled cohort, we followed 107 845 individuals for the association between alcohol consumption, including types of alcohol and drinking patterns, and incident AF. We collected information on classical cardiovascular risk factors and incident heart failure (HF) and measured the biomarkers N-terminal pro-B-type natriuretic peptide and high-sensitivity troponin I. The median age of individuals was 47.8 years, 48.3% were men. The median alcohol consumption was 3 g/day. N = 5854 individuals developed AF (median follow-up time: 13.9 years). In a sex- and cohort-stratified Cox regression analysis alcohol consumption was non-linearly and positively associated with incident AF. The hazard ratio for one drink (12 g) per day was 1.16, 95% CI 1.11-1.22, P < 0.001. Associations were similar across types of alcohol. In contrast, alcohol consumption at lower doses was associated with reduced risk of incident HF. The association between alcohol consumption and incident AF was neither fully explained by cardiac biomarker concentrations nor by the occurrence of HF. CONCLUSIONS: In contrast to other cardiovascular diseases such as HF, even modest habitual alcohol intake of 1.2 drinks/day was associated with an increased risk of AF, which needs to be considered in AF prevention.

Life Course Socioeconomic Status and Risk of Hospitalization for Heart Failure or Atrial Fibrillation in The Moli-Sani Study Cohort.

We investigated the association of cumulative socioeconomic disadvantage (CSD) and socioeconomic (SES) trajectories across life course with the risk of first hospitalization for heart failure (HF) or atrial fibrillation (AF) and tested some biological mechanisms in explaining such associations. Longitudinal analysis on 21,756 HF- and AF-free subjects recruited in the Moli-sani Study (2005-2010; Italy) and followed up for 8.2 years. CSD was computed using childhood SES, education and adulthood SES indicators, and the same were used to define overall trajectories. High disadvantage across life course (CSD≥8) posed subjects at increased risk of HF (Hazard ratio [HR]=2.58; 95%CI 1.78, 3.74) or AF (HR=1.57;1.05,2.33), as compared to low CSD. All explanatory factors accounted for 18.5% and 24% of the excess of HF and AF risks, respectively, associated with CSD. For subjects with low childhood SES, advancements in education lowered risk of HF (HR=0.70;0.48, 1.02) or AF (HR=0.50;0.28, 0.89), whereas achievements of adulthood SES were unlikely to contribute to disease reduction. In conclusion, a life-course disadvantaged SES is an important predictor of first hospitalization for HF and AF; known risk factors partially explained the SES-disease gradient. Upwardly mobile groups are likely to mitigate the effect of poor childhood circumstances especially through educational advancement.

Different Anticoagulant Regimens, Mortality, and Bleeding in Hospitalized Patients with COVID-19: A Systematic Review and an Updated Meta-Analysis.

We conducted a systematic review and a meta-analysis to assess the association of anticoagulants and their dosage with in-hospital all-cause mortality in COVID-19 patients. Articles were retrieved until January 8, 2021, by searching in seven electronic databases. The main outcome was all-cause mortality occurred during hospitalization. Data were combined using the general variance-based method on the effect estimate for each study. Separate meta-analyses according to type of COVID-19 patients (hospitalized or intensive care unit [ICU] patients), anticoagulants (mainly heparin), and regimens (therapeutic or prophylactic) were conducted. A total of 29 articles were selected, but 23 retrospective studies were eligible for quantitative meta-analyses. No clinical trial was retrieved. The majority of studies were of good quality; however, 34% did not distinguish heparin from other anticoagulants. Meta-analysis on 25,719 hospitalized COVID-19 patients showed that anticoagulant use was associated with 50% reduced in-hospital mortality risk (pooled risk ratio [RR]: 0.50, 95% confidence interval [CI]: 0.40-0.62; I 2: 87%). Both anticoagulant regimens (therapeutic and prophylactic) reduced in-hospital all-cause mortality, compared with no anticoagulation. Particularly in ICU patients, the anticoagulant therapeutic regimen was associated with a reduced in-hospital mortality risk (RR: 0.30, 95% CI: 0.15-0.60; I 2: 58%) compared with the prophylactic one. However, the former was also associated with a higher risk of bleeding (RR: 2.53, 95% CI: 1.60-4.00; I 2: 65%). Anticoagulant use, mainly heparin, reduced all-cause mortality in COVID-19 patients during hospitalization. Due to the higher risk of bleeding at therapeutic doses, the use of prophylactic dosages of anticoagulant is probably to be preferred in noncritically ill COVID-19 patients.

Diabetes status-related differences in risk factors and mediators of heart failure in the general population: results from the MORGAM/BiomarCaRE consortium.

BACKGROUND: The risk of heart failure among diabetic individuals is high, even under tight glycemic control. The correlates and mediators of heart failure risk in individuals with diabetes need more elucidation in large population-based cohorts with long follow-up times and a wide panel of biologically relevant biomarkers. METHODS: In a population-based sample of 3834 diabetic and 90,177 non-diabetic individuals, proportional hazards models and mediation analysis were used to assess the relation of conventional heart failure risk factors and biomarkers with incident heart failure. RESULTS: Over a median follow-up of 13.8 years, a total of 652 (17.0%) and 5524 (6.1%) cases of incident heart failure were observed in participants with and without diabetes, respectively. 51.4% were women and the mean age at baseline was 48.7 (standard deviation [SD] 12.5) years. The multivariable-adjusted hazard ratio (HR) for heart failure among diabetic individuals was 2.70 (95% confidence interval, 2.49-2.93) compared to non-diabetic participants. In the multivariable-adjusted Cox models, conventional cardiovascular disease risk factors, such as smoking (diabetes: HR 2.07 [1.59-2.69]; non-diabetes: HR 1.85 [1.68-2.02]), BMI (diabetes: HR 1.30 [1.18-1.42]; non-diabetes: HR 1.40 [1.35-1.47]), baseline myocardial infarction (diabetes: HR 2.06 [1.55-2.75]; non-diabetes: HR 2.86 [2.50-3.28]), and baseline atrial fibrillation (diabetes: HR 1.51 [0.82-2.80]; non-diabetes: HR 2.97 [2.21-4.00]) had the strongest associations with incident heart failure. In addition, biomarkers for cardiac strain (represented by nT-proBNP, diabetes: HR 1.26 [1.19-1.34]; non-diabetes: HR 1.43 [1.39-1.47]), myocardial injury (hs-TnI, diabetes: HR 1.10 [1.04-1.16]; non-diabetes: HR 1.13 [1.10-1.16]), and inflammation (hs-CRP, diabetes: HR 1.13 [1.03-1.24]; non-diabetes: HR 1.29 [1.25-1.34]) were also associated with incident heart failure. In general, all these associations were equally strong in non-diabetic and diabetic individuals. However, the strongest mediators of heart failure in diabetes were the direct effect of diabetes status itself (relative effect share 43.1% [33.9-52.3] and indirect effects (effect share 56.9% [47.7-66.1]) mediated by obesity (BMI, 13.2% [10.3-16.2]), cardiac strain/volume overload (nT-proBNP, 8.4% [-0.7-17.4]), and hyperglycemia (glucose, 12.0% [4.2-19.9]). CONCLUSIONS: The findings suggest that the main mediators of heart failure in diabetes are obesity, hyperglycemia, and cardiac strain/volume overload. Conventional cardiovascular risk factors are strongly related to incident heart failure, but these associations are not stronger in diabetic than in non-diabetic individuals. Active measurement of relevant biomarkers could potentially be used to improve prevention and prediction of heart failure in high-risk diabetic patients.

Daily Coffee Drinking Is Associated with Lower Risks of Cardiovascular and Total Mortality in a General Italian Population: Results from the Moli-sani Study.

BACKGROUND: An inverse relationship between coffee intake and mortality has been observed in several population cohorts, but rarely within Mediterranean countries. Moreover, the biological pathways mediating such an association remain unclear. OBJECTIVES: We assessed the associations between coffee consumption and total and cause-specific mortality and examined the mediating roles of N-terminal pro B-type natriuretic peptide (NTproBNP), high-sensitivity Troponin I, blood glucose, lipid metabolism, and selected biomarkers of inflammation and renal function. METHODS: We longitudinally analyzed data on 20,487 men and women (35-94 years old at baseline) in the Moli-sani Study, a prospective cohort established in 2005-2010. Individuals were free from cardiovascular disease (CVD) and cancer and were followed-up for a median of 8.3 years. Dietary data were collected by a 188-item semi-quantitative FFQ. Coffee intake was standardized to a 30-mL Italian espresso cup size. HRs with 95% CIs were calculated by multivariable Cox regression. RESULTS: In comparison with no/rare coffee consumption (up to 1 cup/d), HRs for all-cause mortality across categories of coffee consumption (>1 to ≤2, >2 to ≤3, >3 to ≤4 and >4 cups/d) were 0.79 (95% CI, 0.65-0.95), 0.84 (95% CI, 0.69-1.03), 0.72 (95% CI, 0.57-0.92), and 0.85 (95% CI, 0.62-1.12), respectively. For CVD mortality, a nonlinear (P for non-linearity = 0.021) J-shaped association was found (magnitude of the relative reduction = 37%; nadir at 3-4 cups/d). Circulating levels of NTproBNP explained up to 26.4% of the association between coffee and all-cause mortality, while systolic blood pressure was likely to be on the pathway between coffee and CVD mortality, although to a lesser extent. CONCLUSIONS: In this large cohort of Italian adults, moderate consumption (3-4 cups/d) of Italian-style coffee was associated with lower risks of all-cause and, specifically, of CVD mortality. Among the known biomarkers investigated here, NTproBNP likely mediates the relationship between coffee intake and all-cause mortality.

Association of a traditional Mediterranean diet and non-Mediterranean dietary scores with all-cause and cause-specific mortality: prospective findings from the Moli-sani Study.

PURPOSE: To evaluate in an Italian general population, the association with mortality of a traditional Mediterranean diet (MD) and non-Mediterranean dietary (non-MD) patterns, and their combined effect, and to test some biomarkers of cardiovascular (CVD) risk as potential mediators of such associations. METHODS: Longitudinal analysis on 22,849 men and women aged ≥ 35 years, recruited in the Moli-sani Study (2005-2010), followed up for 8.2 years (median). The MD was assessed by the Mediterranean diet score (MDS). The Dietary  Approaches to Stop Hypertension (DASH), the Palaeolithic diet, and the Nordic diet were chosen as reportedly healthy non-MD patterns. Hazard ratios (HR) with 95% confidence intervals (95% CI) were calculated by multivariable Cox regression. RESULTS: Participants reaching higher MDS or DASH diet score experienced lower risk of both all-cause (HR 0.77; 95% CI 0.66-0.90 and 0.81; 0.69-0.96, respectively, highest vs lowest quartile) and CVD (0.77; 0.59-1.00 and 0.81; 0.69-0.96, respectively) death risk; risk reduction associated with the Palaeolithic diet was limited to total and other cause death, whereas the Nordic diet did not alter risk of mortality. Increasing adherence to MD was associated with higher survival in each stratum of non-MD diets. Biomarkers of glucose metabolism accounted for 7% and 21.6% of the association between either MDS or DASH diet, respectively, with total mortality risk. CONCLUSIONS: Both the traditional MD and DASH diet may reduce risk of all-cause mortality among Italians, as well as risk of dying from cardiovascular causes. The Palaeolithic diet did not appear to reduce cardiovascular risk, while the Nordic eating pattern was unlikely to be associated with any substantial health advantage.