719 CIRCULATING SORTILIN LEVELS ARE INCREASED IN PATIENTS RECEIVING LONG-TERM WARFARIN AND ITS INHIBITION ATTENUATES WARFARIN-INDUCED VASCULAR CALCIFICATION

Long-term use of the vitamin K antagonist (VKA) warfarin, has been shown to accelerate vascular and valvular calcification both in rodents and in humans. Increasing evidence suggests that vascular endothelium contributes to calcification via endothelial-mesenchymal transition (EndMT). However, additional research is warranted to elucidate the signaling mechanisms involved. In the last decade, a prominent role for sortilin has been demonstrated in cardiovascular calcification. Moreover, we recently demonstrated that the increase of sortilin in the endothelium promotes endothelial dysfunction, a known initiator of EndMT.

Thus, we aim to investigate a potential contribution of sortilin in vascular calcification induced by warfarin. For this purpose, human endothelial cells and aortic rings from wild type C57BL/6J mice were cultured in promineralization medium in the presence of therapeutic levels of warfarin. Plasma sortilin and calcium levels were measured in 19 patients under VKA therapy who were stratified into short-term (3-12 months) or long-term group (24-45 months) based on VKA treatment duration.

Increased protein expression of sortilin was found both in the endothelial and in the medial smooth muscle layers of aortic rings. Sortilin immunostaining was found to co-localize with α-SMA in the endothelium of warfarin-treated aortic rings, a hallmark of EndMT. Interestingly, pharmacological inhibition of sortilin with AF38469 reduced calcification and prevented loss of expression of the endothelial marker von Willebrand Factor (vWF) induced by warfarin treatment in human endothelial cells and mouse aortas.

Finally, along with elevated plasma calcium levels, patients receiving long-term VKA showed increased circulating sortilin levels when compared to short term VKA-treated patients.

Our data provide evidence for a potential role for endothelial-derived sortilin in regulating vascular calcification promoted by warfarin, and suggest that targeting circulating sortilin may be beneficial for the prevention of warfarin-associated cardiovascular calcification.

The Dietary Intake of Polyphenols Is Associated with a Lower Risk of Severe Lumbar Spinal Stenosis: A Case-Control Analysis from the PREFACE Study

Polyphenols are naturally occurring compounds endowed with antioxidant and anti-inflammatory properties. We sought to examine the association of dietary polyphenols with the risk of severe lumbar spinal stenosis (LSS), a condition possibly characterized by a high inflammatory component. A case-control study included 156 patients with LSS and indication to surgery and 312 controls, matched (1:2) for sex, age (±6 months), and physical activity. The polyphenol intake was calculated by matching food consumption data from a 188-item food frequency questionnaire with the Phenol-Explorer database regarding the polyphenol content of each reported food. In a multivariable-adjusted logistic regression analysis including lifestyles, sociodemographic factors, and the Mediterranean Diet Score, a 1-standard deviation (SD) increase in dietary polyphenols intake was associated with lower odds of LSS (Odds ratio [OR] = 0.65; 95% CI: 0.47-0.89). Analyses of different polyphenol classes showed that a per 1-SD in the consumption of flavonoids and stilbenes was related to lower LSS risk (OR = 0.57; 95% CI: 0.42-0.78; OR = 0.40; 95% CI: 0.27-0.61, respectively). Further adjustment for the total dietary antioxidant capacity did not modify the strength of these associations. A diet rich in polyphenols is independently associated with a lower risk of severe LSS, possibly through mechanisms that include the anti-inflammatory potential of these bioactive compounds.

Incremental monounsaturated to saturated fat ratio and fibre consumption is associated with a reduction in a composite score of modifiable cardiovascular risk factors: Prospective results from the Moli-sani study

BACKGROUND/OBJECTIVES

Unsaturated fats, fibre-rich foods and polyphenols are distinctive features of a traditional Mediterranean diet and have pleiotropic properties possibly contributing to reduce the long-term risk of non-communicable diseases and mortality associated with this diet. We aimed to evaluate whether changes over time in dietary fats, fibre and polyphenols consumption are associated with modifications in cardiovascular disease (CVD) risk factors.

METHODS

The analytic sample consists of a sub-cohort of 2023 men and women enrolled in the Moli-sani Study (n = 24,325). Dietary and health data were obtained both at baseline (2005-2010) and at re-examination (2017-2020). The exposures were changes in dietary fats, fibre and polyphenols consumption measured after 12.7 years (median), and the outcome was change in a composite score including 13 modifiable CVD risk factors (e.g., blood lipids, C-reactive protein), measured both at enrolment and after the 12.7 years period.

RESULTS

In multivariable-adjusted analysis including lifestyles, sociodemographic and clinical factors, an incremental intake of the ratio of monounsaturated to saturated fats or of fibre was associated with a reduction in the composite score of CVD risk factors (β = -0.086; 95%CI -0.150, -0.021 and β = -0.051; 95%CI -0.091, -0.012, respectively). Change in polyphenol intake was not associated with a substantial variation in the CVD risk score (p = 0.15).

CONCLUSIONS

An incremental consumption over time of monounsaturated versus saturated fats and of fibre was associated with an improvement in modifiable CVD risk factors as reflected by a composite score.

COVID-19 impact on hospitalizations in older adults with chronic conditions: a real-world analysis from Lombardy, Italy

Background

Healthcare delivery reorganization during the COVID-19 emergency may have had a significant impact on access to care for older adults with chronic conditions.

Methods

We investigated such impact among all adults with chronic conditions aged ≥65 years, identified through the electronic health databases of two local health agencies - ATS Brianza and ATS Bergamo - from the Lombardy region, Italy. We considered hospitalizations for 2020 compared to the average 2017-2019 and quantified differences using rate ratios (RRs).

Results

Overall, in 2017-2019 there were a mean of 374,855 older adults with ≥1 chronic condition per year in the two ATS and 405,371 in 2020. Hospitalizations significantly decreased from 84,624 (225.8/1000) in 2017-2019 to 78,345 (193.3/1000) in 2020 (RR 0.86). Declines were reported in individuals with many chronic conditions and for most Major Diagnostic Categories, except for diseases of the respiratory system. The strongest reductions were observed in hospitalizations for individuals with active tumours, particularly for surgical ones. Hospitalization rates increased in individuals with diabetes, likely due to COVID-19-related diseases.

Conclusions

Although determinants of the decrease in demand and supply for care among chronic older adults are to be further explored, this raises awareness on their impacts on chronic patients’ health in the medium and long run.

Healthcare services access during the COVID-19 pandemic among older people

The COVID-19 pandemic strongly impacted older people, not only in terms of clinical outcome but also in care provision. Investigating trends of changes in healthcare services access among older subjects during the pandemic, along with studying potential determinants, is of utmost interest to identify the most at-risk individuals. We used data from LOST in Lombardia, a cross-sectional study conducted on a representative sample of 4,400 older adults (aged 65 or more) in autumn 2020. Data were collected about lifestyles, mental health, and access to healthcare services before and during the pandemic. To investigate potential determinants of changes in healthcare access, we presented prevalence ratios (PRs) estimated through multivariable log-binomial regression models. Twenty-one per cent of the participants increased telephone contacts with general practitioner (GP), 9.6% specialist visits for a fee, while 22.4% decreased GP visits, 7.5% ED access, 6% hospitalisations, 12.3% outpatient visits, 9.1% diagnostic exams. The prevalence of the cancellation or delay of medical appointments by the patient's decision was 23.8%, with higher proportions among men, among individuals aged 75 or over as compared to those aged 65-74, and among individuals with a higher self-reported economic status (p-value<0.05). People with comorbidities more frequently cancelled or postponed visits, reduced ED access or hospitalisations. Moreover, individuals with worsened mental health status showed a higher prevalence to cancel or delay visits and to reduce ED access. The decrease in healthcare provision and consultations could result in mortality and morbidity excess. Our results should inform targeted intervention to bridge the gaps and overcome the health inequalities that the pandemic has deepened. Exploring the underlying reasons and determinants for healthcare avoiding or delaying among the most vulnerable groups is crucial for epidemic preparedness and planning future interventions.

Not all plant-based diets are associated with benefits on mortality: the Moli-sani Study

Background

Vegetarians diets are characterized by the absence of some animal foods (e.g. red and processed meats), and a high consumption of plant-based foods. However, plant-based foods can include foods with varying nutritional value and health effects. We examined the association of three different pro-vegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), with the risk of all-cause and cardiovascular disease (CVD) mortality in Italians.

Methods

Longitudinal analysis on 22,912 men and women (mean age 55±12 y) from the Moli-sani Study (2005-2010) followed up for 11.2 y (median). Food intake was assessed by a 188-item FFQ. A provegetarian food pattern (FP) was constructed by assigning positive scores to plant foods and reverse scores to animal foods. A healthful and an unhealthful pro-vegetarian FP, which distinguished between healthy (e.g. fruits, vegetables, legumes) and less-healthy plant foods (e.g. fruit juices, potatoes, sugary beverages), were also built up.

Results

In multivariable-adjusted analyses controlled for known risk factors, higher adherence to a gPVG was associated with lower all-cause (HR = 0.83; 95%CI 0.73-0.94) but not CVD mortality (HR = 0.90; 0.72-1.12). Increasing adherence to a hPVG was associated with reduced all-cause mortality risk (HR = 0.82; 0.72-0.95) as well as lower risk of CVD mortality (HR = 0.75; 0.59-0.95). Finally, the uPVG was directly associated with both all-cause (HR = 1.17; 1.03-1.33) and CVD mortality risks (HR = 1.23; 0.99-1.53).

Conclusions

A general pro-vegetarian food pattern was associated with longer survival in Italians. Preferring healthful vegetarian foods provided protection against CVD mortality too. Consistently, a large dietary share of unhealthful vegetarian foods, mostly highly processed, was associated with increased risk mortality. Thus the quality of the plant food consumed is paramount to achieve diet-related benefits on mortality.

Key messages

• A pro-vegetarian food pattern was associated with longer survival but preferring healthful vegetarian foods provided protection against CVD mortality too.

• The quality of the plant food consumed is paramount to achieve diet-related benefits on mortality.

It never rains but it pours: COVID-19 pandemic impact on mental health in older adults

Italy was the first country to be hit by the 2019 coronavirus disease (COVID-19) in Europe holding one of the highest clinical burdens. Older adults are those paying the highest price for the COVID-19 emergency. Within the Lost in Lombardy project, a web-based cross-sectional study assessing the prevalence of depressive and anxiety symptoms, hopelessness and insomnia before and during the COVID-19 pandemic, was conducted on a representative sample of 4,400 older adults aged 65 years or more from the Lombardy region recruited between November 17th and 30th 2020. The prevalence of depressive symptoms increased by + 112% during the pandemic, anxiety symptoms by + 136%, insufficient sleep by + 12%, unsatisfactory sleep by + 15%. Feelings of hopelessness were more frequent among women compared to men (15.1% vs. 10.4%) and increased with increasing age. A worsening in each of the four specific mental health outcomes was more frequently observed in women (OR = 1.50, depression; OR = 1.31, anxiety; OR = 1.57, sleep quality; OR = 1.38, sleep quantity), in subjects who decreased their physical activity during the pandemic (OR = 1.64, depression; OR = 1.48, anxiety; OR = 2.05, sleep quality; OR = 1.28, sleep quantity), and with increasing number of pre-existing chronic diseases (p for trend<0.001 for depression and anxiety; p for trend=0.010 for sleep quality; p for trend=0.012 for sleep quantity). A worsening in depressive symptoms was more frequently observed in more educated subjects (p for trend=0.008), while a worsening in anxiety symptoms in subjects living in main towns compared to outskirt with an economic status below the mean. The use of at least one psychotropic drug - mostly antidepressants/anxiolytics - increased by + 26% compared to pre-pandemic. The protection of the mental health status of this vulnerable segment of population needs to be recognized as a real public health priority.

Gender and socioeconomic inequalities in changes in a Mediterranean lifestyle among elderly Italians

The COVID-19 pandemic and the adoption of restrictive measurements to control the SARS-CoV-2 spread disrupted general population lifestyles including dietary behaviours. However, there is poor knowledge on potential socioeconomic and gender disparities in dietary changes. We conducted a telephone-based survey during fall 2020 on a sample of 4,400 participants representative of the population aged 65-99 years living in Lombardy, Italy. Changes in a Mediterranean lifestyle were assessed retrospectively by asking participants to report modifications in the consumption of nine food groups and five diet-related behaviours (e.g., consumption of organic and local foods) compared to the previous year (2019). We then computed a Mediterranean COVID-19 Pandemic Score (MedCovid-19 Score), reflecting changes during pandemic, ranging from -14 to 14, with increasing values indicating improvements in line with a Mediterranean lifestyle. Overall, 18.3% of the study participants worsened their Mediterranean lifestyle (MedCovid-19 Score <0), 35.1% remained stable (MedCovid-19 Score = 0), while 46.6% reported improvements (MedCovid-19 Score ≥1). Predictors of favourable changes toward a Mediterranean lifestyle were educational level (OR = 1.52; 95% CI 1.19-1.95 for postgraduate vs lower education), wealth (OR = 1.52; 1.14-2.02 for high vs low wealth), and skilled manual occupations (OR = 1.57; 1.28-1.92 vs white collars). Women were more likely than men to move away from a Mediterranean lifestyle (OR = 1.86; 1.58-2.21). In conclusion, improvements in line with a Mediterranean lifestyle prevailed in almost half of a large sample of elderly Italians surveyed during the COVID-19 pandemic. However, changes towards a Mediterranean lifestyle were disproportionately distributed across gender and socioeconomic strata. These findings were similar to those from the general population of the Moli-sani study, where it was observed that healthful dietary changes were associated greater wealth.

Dietary factors and risk of SARS-CoV-2 infection in the Moli-sani Study Cohort

Background

A healthy diet plays a major role in supporting the immune system which is critical to protect the host from pathogenic organisms. To date, evidence on the relationship between dietary habits and the risk of SARS-CoV-2 infection is still scarce.

Methods

Analyses on 1,096 participants from the Moli-sani Study (2005-2010) who were re-examined in 2017-2020, and in January-September 2021. Food intake was assessed in 2017-2020 using a 188-item FFQ. Adherence to Mediterranean diet (MD) was evaluated using the Mediterranean Diet Score (MDS) ranging from 0 to 9. Multivariable logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (95%CI) for incident SARS-CoV-2 infection in association with dietary factors.

Results

Out of 1,096 participants, 90 either reported to have tested positive for COVID-19 or were positive for anti-SARS-CoV-2 antibodies before receiving any COVID-19 vaccine. In a multivariable-adjusted model controlled for known risk factors, a 1-point increase in MDS was associated, though not significantly, with lower risk of SARS-CoV-2 infection (OR = 0.90; 95%CI 0.78-1.04). Among individual dietary components, a high consumption of vegetables or fruits and nuts was associated with lower odds of SARS-CoV-2 infection (OR = 0.57; 0.34-0.96 and OR = 0.61; 0.37-1.00, respectively). High fish intake was otherwise linked to increased risk of infection (OR = 2.05; 1.25-3.36). Nutritional factors associated with reduced risk of infection were dietary fibre (OR = 0.50; 0.27-0.93 for 10 g/d increase), vegetable proteins (OR = 0.56; 0.33-0.94 for 10 g/d increase) and vitamin C (OR = 0.94; 0.89-0.99 for 10 g/d increase).

Conclusions

Adherence to MD was suggestive of a lower risk of SARS-CoV-2 infection. In particular, large amounts of fruit and vegetables were associated with reduced odds of being infected, as well as diets rich in fibre, vegetable proteins and Vitamin C.

Key messages

Assessing determinants of SARS-CoV-2 infection in a large older adult representative sample

Most COVID-19-related deaths occurred in older adults, however to date, evidence on determinants of SARS-CoV-2 infection in this population is limited and mostly based on case series without a comparison group. A telephone-based cross-sectional study was conducted in November 2020 on a representative sample of 4,400 people aged ≥65 years from the Italian region of Lombardy. We determined the prevalence of participants reporting a SARS-CoV-2 infection in the period between the onset of the pandemic and the time of the interview. To investigate the determinants of the infection, we estimated odds ratios (OR) and their corresponding 95% confidence intervals (CI) thorough unconditional multiple logistic models. We further evaluated if the infection was a determinant of a worsening in mental health wellbeing. Overall, 4.9% of participants reported a history of SARS-CoV-2 infection. No significant relationship between sex and infection was observed. SARS-CoV-2 infection was less frequently reported in subjects aged ≥70 (OR = 0.55; 95% 0.41-0.74) compared to 65-69 years. We didn't observe any trend after 70 years of age. Participants reporting at least one chronic condition had a lower infection rate compared to healthy subjects (OR = 0.68 95% CI: 0.49-0.93). Separated/divorced subjects more frequently reported infection than married/cohabiting ones (OR = 2.33 95% CI: 1.29-4.20). Self-reported history of SARS-CoV-2 infection resulted being a determinant of an increase in depressive symptoms (OR = 1.57; 95% CI: 1.17-2.10). In this large study - among the few assessing the determinants of SARS-CoV-2 infection in a representative sample of older adults -, the prevalence of a history of infection in November 2020 approached 5%. We found that persons aged 70 and above and those with chronic conditions, thus individuals with likely less social interactions, were less frequently exposed to SARS-CoV-2 infection.

Untangling the influence of depression on clinical risks: role of leukocytes and somatic symptoms

Background

Depression has been associated with increased hospitalization and mortality risk, especially for cardiovascular causes. We previously found a composite circulating inflammation score (INFLA-score) to explain part of this link, although the role of its component and of depressive symptoms domains in this relationship is unexplored.

Methods

In an Italian population cohort (N = 13,191; age≥35 years; 51.7 % women; 4,856 hospitalizations and 471 deaths, median follow-up 7.28/8.24 years), we estimated the proportion of association explained by C-reactive protein levels (CRP), platelet count, granulocyte-to-lymphocyte ratio (GLR) and white blood cell counts (WBC), in multivariable Cox regressions modelling first hospitalization/mortality for all and cardiovascular (CVD), ischemic heart (IHD) and cerebrovascular disease (CeVD) causes vs depression severity based on an alternative validated version of PHQ-9. We also estimated the proportion of association explained by INFLA-score in the associations of polychoric factors tagging somatic and cognitive depressive symptoms with clinical risks.

Results

In models adjusted for age, sex and education, significant proportions of the positive influence of depression on clinical risks were explained by CRP (4.8% on IHD hospitalizations), GLR (11% on all-cause mortality) and WBC (24% on IHD/CeVD hospitalizations). Stable associations of somatic but not of cognitive depressive symptoms were observed with increased hospitalization risk (+16% for all causes, +14% for CVD causes), with INFLA-score again explaining small but significant proportions of these associations (2.5% for all causes, 8.6% for IHD causes).

Conclusions

These findings suggest a prominent explanatory role of leukocytes in the link between depression and clinical (especially CVD) risks, and highlight the importance of inflammation in the influence of somatic depressive symptoms. Therefore, acting on these factors may reduce clinical risks associated with depression.

Key messages

Air pollution is associated with the risk of neurodegenerative disorders: a prominent role of PM10

Background

Studies revealed an implication of air pollution in neurodegenerative disorders, although this link remains unclear. Here, we investigated this testing multiple pollutants simultaneously.

Methods

In the Moli-sani cohort (N = 24,325; ≥35 years; 51.9% women, baseline 2005-2010), we estimated yearly levels of exposure to nitrogen oxides (NOX, NO, NO2), ozone (O3), particulate matter (PM10) and BTX hydrocarbons (benzene, toluene and xylene) in 2006-2018, applying residence geo-localization of participants and Kriging interpolation algorithm to land measurements of air pollutants. We performed a principal component analysis and tested association of the resulting principal components (PCs) with the incident risk of Parkinson (PD) and Alzheimer disease (AD), through multivariable Cox PH regressions adjusted for age, sex and education level completed.

Results

Over 24,308 subjects with pollution data available (51.9% women, 55.8(12.0) years), we extracted three PCs explaining ≥5% of pollution exposure variance: PC1 (38.2%, tagging PM10 exposure), PC2 (19.5%, O3/CO/SO2), PC3 (8.5%, NOx/BTX hydrocarbons). Over a mean follow-up of 10.9(2.1) years, we observed statistically significant associations of PC1 with an increased risk of PD (HR[CI] = 1.04[1.02-1.05]; 405 incident cases) and AD (1.06[1.04-1.08]; 218 cases). These associations were confirmed when we analyzed PM10 levels averaged over follow-up time, in models further adjusted for professional exposures like working class, compartment and toxic compounds and lifestyles like smoking and drinking habits, physical activity and adherence to Mediterranean diet (PD: 1.27 [1.19-1.37]; AD: 1.22[1.16-1.28] per 1 μg/m3 increase of PM10).

Conclusions

This evidence supports an influence of air pollution - especially PM10 - on increased neurodegenerative risk in the Italian population, independent on concurring risk factors. This suggests reducing PM10 pollution as a potential strategy to reduce neurodegenerative risk.

Key messages

• PM10 levels are associated with increased Parkinson and Alzheimer disease risk.

• This suggests to act on air pollution to reduce neurodegenerative risk in the general population.

Ultra-processed food consumption and survival in older Italians from the Moli-sani Study

Background

Ultra-processed food (UPF) is a major public health concern being reportedly associated with increased risk of non-communicable diseases and lower survival. However, most of the epidemiological evidence has been almost exclusively provided by research conducted in populations of youths or middle-aged adults. We tested the hypothesis that a large dietary share of UPF could be a risk factor also for vulnerable groups, as older adults (≥65 years).

Methods

Longitudinal analysis on 5,215 men and women (mean age 72±5 y) from the Moli-sani Study (2005-2010, Italy) followed up for 10.9 y (median). Food intake was assessed by a 188-item FFQ. UPF was defined using the NOVA classification according to degree of processing, and categorized as quartiles of the ratio (%) between UPF (g/d) and total food consumed (g/d; weight ratio). The overall nutritional quality of the diet was measured by the Food Standard Agency nutrient profiling system dietary index (FSAm-NPS DI).

Results

UPF contributed to 8% (min-max 0.0-58.4%) of the total food eaten daily and represented 14.4% (0.0-70.0%) of daily energy intake. In multivariable-adjusted analyses controlled for known risk factors, higher intake of UPF (Q4, ≥10.2% of total food), as opposed to the lowest (Q1, UPF&lt;4.3%), was associated with increased all-cause mortality (Hazard ratio [HR]=1.19; 95%CI 1.03-1.39); these results remained unchanged after adjustment for the FSAm-NPS DI (HR = 1.21; 95%CI, 1.04-1.41). A linear dose-response relationship of 1% increment in UPF intake with all-cause mortality was also observed (p = 0.017; p for non-linearity=0.85).

Conclusions

A large dietary share of UPF was associated with lower survival in older Italians consuming relatively low amounts of these foods. Expanding on previous studies on different age groups, these findings provide further justification to advise people to limit consumption of UPF even at older age.

Key messages

• A large dietary share of ultra-processed food was associated with lower survival in older Italians consuming relatively low amounts of these foods.

• These findings provide further justification to advise people to limit consumption of ultra-processed food even at older age.

Fibrinogen levels in relation to colorectal cancer onset: A nested case-cohort study from the Moli-sani cohort

Background

Patients with cancer are commonly characterized by abnormalities in laboratory coagulation tests, underlying a subclinical hypercoagulable condition. Due to the involvement of the hemostatic system in cancer patients, some of its biomarkers, such as fibrinogen, could be a useful tool in predicting cancer risk. We performed a case-cohort study to evaluate the relationship among fibrinogen levels and colorectal cancer (CRC).

Methods

In the framework of Moli-sani Study (N = 24,325, enrolled 2005-2010) a subcohort of 1,290 individuals (55.0% women; mean age 55.0 ± 12.0 years) was selected and compared with 126 CRC cases identified during a follow-up of 4.3 years. Incident cases of colorectal cancer were ascertained by direct linkage with hospital discharge forms according to the International Classification of Disease (ICD-9-CM) codes: 153-154. Events were validated through medical records and confirmed by histological reports. Fibrinogen levels were measured in frozen citrated plasma samples. Hazard Ratio (HR) and 95% confidence interval (CI), adjusted by relevant covariates were estimated by a Cox regression model using Prentice method.

Results

Individuals with levels of fibrinogen ≥400 mg/dL had a higher hazard to develop colorectal cancer when compared to those with lower levels after adjustment for sex and age (HR: 1.81; 95% CI 1.12-2.92). Additional adjustment for CRC family history, income, physical activity, diabetes medication and hypercholesterolemia did not modify the result (HR: 1.91; 95% CI 1.15-3.17). Analyses stratified by age and sex showed a most evident association in elderly (HR: 2.30; 95% CI: 1.10-4.81) and in women (HR: 2.28; 95% CI: 1.08-4.81). Sensitivity analyses confirmed the main findings, showing independence from a potential role of confounding by a large panel of biomarkers, including inflammation and hemostasis factors.

Conclusion

Our results, based on a case-cohort study from a general adult population apparently free from any cancer during the recruitment, showed that fibrinogen levels ≥400 mg/dL were positively and independently associated with CRC, suggesting that this glycoprotein could be a potential biomarker for this type of cancer and supporting the "common soil hypothesis" in the pathophysiology of cardiovascular disease and tumors.

C-reactive protein as a possible modifier of Lipoprotein(a)-related risk for coronary heart disease in Europe: results from the BiomarCARE project

Background

Lipoprotein(a) (Lp(a)) represents a unique proatherogenic lipoprotein with potent pro-thrombotic and pro-inflammatory properties. Recent studies demonstrated that Lp(a)-associated risk for cardiovascular disease (CVD) was significantly increased only in individuals with a high inflammatory burden (i.e. hsCRP levels &gt;2 mg/L). However, these results have been either based on a post-hoc analysis in a highly selected study population with a high/very high CVD risk, or conducted within a multi-ethnic population with significant variation in Lp(a) levels.

Purpose

The main aim was to investigate whether hsCRP concentration modulates the predictive value of Lp(a) for coronary heart disease (CHD) events in the general population across Europe.

Methods

Data of 87,760 participants from 10 European prospective population-based cohorts, participating in the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE)-project, were used for the present analysis (79,958 subjects without and 7,189 individuals with established CHD at baseline (primary/secondary prevention cohorts, respectively)). All Lp(a) measurements were performed in the central BiomarCaRE laboratory. Fine and Gray competing risk-adjusted models stratified by study cohort were calculated to assess the association between Lp(a) levels and future CHD events stratified according to hsCRP levels (&lt;1 mg/l, ≥1–&lt;2 mg/l and ≥2 mg/l).

Results

During a median follow-up of 11.3 years, 4,928 events occurred in the CHD-free subpopulation and 1,772 events occurred in the CHD subpopulation. In the primary prevention cohort, increased Lp(a) was significantly associated with future CHD events irrespective of hsCRP: Hazard ratios (HRs) for future CHD events (top vs bottom quintile (Q) of Lp(a) distribution) were 1.46 (95% CI: 1.21–1.78; p&lt;0.001) in those having a hsCRP concentration &lt;1 mg/l; 1.32 (95% CI: 1.09–1.61; p=0.0052) for a hsCRP group of ≥1-&lt;2 mg/l and 1.40 (95% CI: 1.22–1.61; p&lt;0.001) in subjects with a hsCRP concentration ≥2 mg/l, after multivariable adjustment for traditional CV risk factors including LDL-Ccorr and lipid-lowering medication. In contrast, in the secondary prevention, we found no association between increased Lp(a) levels and CHD events in individuals with a very low inflammatory burden (HR for hsCRP &lt;1 mg/l 0.92 (95% CI 0.63–1.34), p=0.66, Q5 vs Q1)), whereas the association was significant among subjects with a hsCRP concentration ≥1 mg/l (HRs: 1.43 (95% CI: 1.01–2.03; p=0.045) for hsCRP group ≥1-&lt;2 mg/l and 1.35 (95% CI: 1.07–1.71; p=0.013) for hsCRP group ≥2 mg/l (both for Q5 vs Q1)).

Conclusion

In a primary prevention setting, Lp(a) was associated with incident CHD irrespective of the inflammatory burden. In contrast, among subjects with known CHD, the association of Lp(a) and future CHD events was only present in those with hsCRP levels &gt;1 mg/l. These findings might guide target population selection for upcoming Lp(a)-targeting compounds.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): This work was supported by the 7th Framework Programme Collaborative Project (grant agreement no. HEALTH-F2-2011-278913). The MORGAM Project has received funding from EU projects MORGAM (Biomed, BMH4-CT98-3183), GenomEUtwin (Fifth Framework Programme FP5, QLG2-CT-2002-01254), ENGAGE (FP7, HEALTH-F4-2007-201413), CHANCES (FP7, HEALTH-F3-2010-242244), BiomarCaRE (FP7, HEALTH-F2-2011-278913), euCanSHare (Horizon 2020, No. 825903) and AFFECT-EU (Horizon 2020, No. 847770); and Medical Research Council, London (G0601463, No. 80983: Biomarkers in the MORGAM Populations).

Exploring circulating biomarkers for risk prediction of incident atrial fibrillation – insights from the BiomarCaRE project

Background

Atrial fibrillation (AF) remains a major health issue in Europe and worldwide. Risk prediction is crucial to identify at-risk individuals and prevent subsequent complications of AF such as stroke and heart failure. Biomarker-enriched, personalized risk prediction offers great potential for population-wide prevention beyond traditional cardiovascular risk factors.

Purpose

We aimed to identify robust predictors for incident AF using classical regressions and machine learning (ML) techniques within a broad spectrum of candidate variables.

Methods

Three European community cohorts from the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) consortium were included to explore the predictive utility of 14 biomarkers mirroring distinct pathophysiological pathways of AF including lipids, inflammation (C-reactive protein [CRP]), renal, and myocardium-specific markers (N-terminal pro B-type natriuretic peptide [NT-proBNP], high-sensitivity troponin I [hsTnI]) within a population-based sample of 42,280 individuals free of AF at baseline. Investigated biomarkers were examined in relation to incident AF using Cox regressions adjusted for multiple cardiovascular risk factors, and additionally by C-indices and net reclassification improvement (NRI) when compared to a reference model incorporating clinical variables. Their predictive utility for incident AF was further analyzed using different ML methods, including Least Absolute Shrinkage and Selection Operator (LASSO) and Random Survival Forest (RSF).

Results

Of 42,280 individuals (21,843 women [51.7%]; median [interquartile range, IQR] age, 52.2 [42.6, 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&lt;0.001). Further, hsTnI (HR per SD 1.18, 95% CI 1.13–1.22; P&lt;0.001), cystatin C (HR per SD 1.16, 95% CI 1.10–1.23; P&lt;0.001) and CRP (HR per SD 1.08, 95% CI 1.02–1.14, P=0.012) correlated positively with new-onset AF. NT-proBNP enhanced model discrimination (ΔC-index 0.037, 95% CI 0.029–0.044) markedly and yielded the best reclassification improvement (NRI 0.237, 95% CI 0.187–0.287) when compared to the clinical model. Neither the addition of hsTnI to NT-proBNP, nor a model comprising all investigated biomarkers further increased discrimination or reclassification substantially. In different ML models, NT-proBNP and age were the strongest predictors of incident AF.

Conclusions

Using a dual approach with both classical regressions and modern ML methods, NT-proBNP consistently remained the strongest blood-based predictor of incident AF with relevant discriminative ability and reclassification yield beyond classical cardiovascular risk factors. The clinical benefit of these findings for AF risk prediction needs to be tested prospectively.

Funding Acknowledgement

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): BiomarCaRE (FP7, HEALTH-F2-2011-278913)European Union's Horizon 2020 research and innovation programme (grant agreement number 847770, AFFECT-EU)

Biomarker-based prediction of fatal and non-fatal cardiovascular outcomes in individuals of the general population with and without diabetes mellitus

Introduction

Cardiovascular biomarkers may reflect different aspects of cardiovascular disease, including myocardial tissue damage (high-sensitive cardiac troponin [hs-cTn]), hemodynamic stress (N-terminal prohormone of brain natriuretic peptide [NT-proBNP)), or inflammation (high-sensitivity C-reactive protein [hs-CRP]).

Purpose

To determine the risk for fatal and non-fatal cardiovascular events in patients with diabetes mellitus (DM), a high-risk group for cardiovascular complications, after accounting for these biomarkers and to determine the risk associated with these biomarkers.

Methods

Harmonized data of population-based studies from the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomaCaRE) and MOnica Risk, Genetics, Archiving and Monograph (MORGAM) consortia were used to calculate hazard ratios (HRs, 95% confidence intervals [CI] per standard deviation) for these biomarkers adjusted for diabetes, patient characteristics and biomarkers for their association with the primary endpoint of fatal and non-fatal cardiovascular events during a median follow-up of 9.6 years (maximum 28 years). Additionally, a years-of-life-lost analysis was conducted stratified by prevalent diabetes and specific biomarker cut-offs known to be associated with increased risk for events (hs-cTnI &gt;5 ng/L, NTproBNP &gt;125 ng/L, hs-CRP &gt;5mg/L).

Results

We included 95,302 individuals, of whom 6,501 had DM (6.8%). Cox-regression analysis revealed DM to be independently associated with the primary endpoint (2.1 [95% CI 1.9, 2.3], p&lt;0.001) despite adjustment for clinical characteristics and biomarkers. Also, all three biomarkers were independent predictors themselves: log-transformed NT-proBNP 1.3 [95% CI 1.3, 1.4] p&lt;0.001; log-transformed hs-CRP 1.2 [95% CI 1.1, 1.2] p&lt;0.001; third-root-transformed hs-cTnI 1.1 [95% CI 1.0, 1.1] p=0.0038). The sex-, age- and cohort-adjusted HR for the primary endpoint according to absolute biomarker concentrations derived by cox-regression models using cubic splines is provided for the three biomarkers in Figure 1. Upon dichotomization of biomarkers, individuals with diabetes and at least one elevated biomarker lost a median of 15.5 healthy years because of the primary endpoint (Kaplan-Meier plot in Figure 2, with age on the x-axis).

Conclusion

Our findings confirm that diabetes confers a residual cardiovascular risk beyond adjustment for clinical characteristics and cardiovascular biomarker. Furthermore, biomarkers may aid in the identification of patients at highest risk, which should be considered in future models of risk prediction.

Funding Acknowledgement

Type of funding sources: None.

Incremental utility of circulating biomarkers for cardiovascular risk prediction beyond the updated SCORE2 model

Background

Accurate risk prediction for future cardiovascular disease (CVD) is crucial for timely initiation of preventive measures in high-risk individuals. Most risk scores, such as the recently updated SCORE2 risk-prediction model supported by the European Society of Cardiology, consider only traditional cardiovascular risk factors. Whether the addition of circulating biomarkers to the existing SCORE2 model may improve risk prediction is unclear.

Purpose

We aimed to evaluate the incremental utility of four widely available circulating biomarkers to improve the prediction of 10-year CVD-risk beyond SCORE2.

Methods

Data from ten prospective population-based cohorts from seven countries across Europe were collected if information on SCORE2-variables and at least one of the following four investigational biomarkers was available: high-sensitivity cardiac troponin I (hs-cTnI), NT-pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity C-reactive protein (hs-CRP) and creatinine-based estimated glomerular filtration rate (eGFR). Primary outcome was incidence of CVD at 10 years, defined as the composite of cardiovascular mortality, non-fatal myocardial infarction and non-fatal stroke. We used Fine and Gray models adjusted for competing-risk and SCORE2-variables as well as penalized cubic splines to assess and visualize the association of individual biomarkers with incident CVD. In a multimarker approach, we performed backward selection to identify biomarkers providing independent predictive value beyond SCORE2-components. C-indices and category-free net reclassification index (cfNRI) were used to compare the performance of the original SCORE2 model to the biomarker-extended model.

Results

In 78'507 individuals, median age was 50 years and 50.3% were females. NT-proBNP, hs-CRP and hs-cTnI but not eGFR showed strong associations with 10-year CVD-risk when adjusted for SCORE2 and provided incremental predictive value when individually added to SCORE2 (Figure 1). In a multimarker approach, all three biomarkers remained independently associated with CVD beyond SCORE2 with strongest association of NT-proBNP, followed by hs-CRP and hs-cTnI (Table 1). The simultaneous addition of these three biomarkers to the SCORE2 model significantly increased discrimination (C-index; 0.782 [95% CI, 0.757, 0.806] versus 0.793 [95% CI, 0.768, 0.817], Delta 0.011 [95% CI, 0.005, 0.016]) and risk reclassification, driven by an improvement in non-events (cfNRIoverall 0.17 [95% CI, 0.12, 0.22], cfNRIevents 0.06 [95% CI, 0.02, 0.11], cfNRInon-events 0.11 [95% CI, 0.10, 0.11]).

Conclusion

NT-proBNP, hs-CRP and hs-cTnI but not eGFR provide incremental predictive value when added to the SCORE2 risk-prediction model and may help to further improve personalized CVD-risk prediction.

Funding Acknowledgement

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): European Community's Seventh Framework Programme (FP7/2007-2013)

COVID-19 pandemic impact on people with diabetes: results from a large representative sample of Italian older adults

AIMS

Restrictions imposed to prevent SARS-CoV-2 transmission should be weighed against consequences on vulnerable groups' health. Lifestyles and disease management of older people with diabetes might have been differentially impacted compared to non-chronic individuals.

METHODS

A cross-sectional study (LOST in Lombardia) was conducted on a representative full sample of 4 400 older adults (17^th-30^th November 2020), collecting data on lifestyles, mental health and access to care before and during the pandemic.

RESULTS

We compared 947 (51.9%) people with diabetes and 879 (48.1%) healthy subjects reporting no chronic conditions. People with diabetes reported more frequently increased physical activity (odds ratio, OR 2.65, 95% confidence internals, CI 1.69-4.13), drinks/week reduction (OR 6.27, 95%CI 3.59-10.95), increased consumption of fruit (OR 2.06, 95%CI 1.62-2.63), vegetables (OR 1.41, 95%CI 1.10-1.82), fish (OR 2.51, 95%CI 1.74-3.64) and olive oil (OR 3.54, 95%CI 2.30-5.46). People with diabetes increased telephone contacts with general practitioners (OR 3.70, 95%CI 2.83-4.83), hospitalisations (OR 9.01, 95%CI 3.96-20.51), visits and surgeries cancellations (OR 3.37, 95%CI 2.58-4.42) and treatment interruptions (OR 1.95, 95%CI 1.33-2.86).

CONCLUSIONS

Pandemic adverse effects occurred but are heterogenous in a population with chronic diseases, who seized the opportunity to improve health behaviours, despite health system difficulties guaranteeing routine care, within and beyond COVID-19.

A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events

BACKGROUND

Recent evidence highlights the epidemiological value of blood DNA methylation (DNAm) as surrogate biomarker for exposure to risk factors for non-communicable diseases (NCD). DNAm surrogate of exposures predicts diseases and longevity better than self-reported or measured exposures in many cases. Consequently, disease prediction models based on blood DNAm surrogates may outperform current state-of-the-art prediction models. This study aims to develop novel DNAm surrogates for cardiovascular diseases (CVD) risk factors and develop a composite biomarker predictive of CVD risk. We compared the prediction performance of our newly developed risk score with the state-of-the-art DNAm risk scores for cardiovascular diseases, the 'next-generation' epigenetic clock DNAmGrimAge, and the prediction model based on traditional risk factors SCORE2.

RESULTS

Using data from the EPIC Italy cohort, we derived novel DNAm surrogates for BMI, blood pressure, fasting glucose and insulin, cholesterol, triglycerides, and coagulation biomarkers. We validated them in four independent data sets from Europe and the USA. Further, we derived a DNAmCVDscore predictive of the time-to-CVD event as a combination of several DNAm surrogates. ROC curve analyses show that DNAmCVDscore outperforms previously developed DNAm scores for CVD risk and SCORE2 for short-term CVD risk. Interestingly, the performance of DNAmGrimAge and DNAmCVDscore was comparable (slightly lower for DNAmGrimAge, although the differences were not statistically significant).

CONCLUSIONS

We described novel DNAm surrogates for CVD risk factors useful for future molecular epidemiology research, and we described a blood DNAm-based composite biomarker, DNAmCVDscore, predictive of short-term cardiovascular events. Our results highlight the usefulness of DNAm surrogate biomarkers of risk factors in epigenetic epidemiology to identify high-risk populations. In addition, we provide further evidence on the effectiveness of prediction models based on DNAm surrogates and discuss methodological aspects for further improvements. Finally, our results encourage testing this approach for other NCD diseases by training and developing DNAm surrogates for disease-specific risk factors and exposures.

Low antithrombin levels are associated with low risk of cardiovascular death but are a risk factor for cancer mortality

Background

Thrombosis is common in subjects suffering from cardiovascular diseases (CVD) and cancer. Hypercoagulation plays a pivotal role in the pathophysiology of thrombosis. Therefore, the inactivation of thrombin, the key enzyme in coagulation, is tightly regulated via antithrombin (AT). AT deficiency is related to thrombosis and cardiovascular death. In this study we investigated the association between AT levels and mortality, in particularly cardiovascular-related and cancer-related death in the general population.

Methods

We studied the association of AT levels and mortality in a prospective cohort sampled from the general Italian population (n = 19,676). AT levels were measured in the baseline samples, and mortality was recorded during a median follow-up period of 8.2 years. Cox regression was performed to investigate the association of all-cause, CVD-related and cancer-related mortality with variations in AT levels.

Results

In total, 989 subjects died during follow-up, of which 373 subjects of CVD and 353 of cancer-related causes. Cox analysis revealed that, after adjustment for age, sex, current smoking, BMI, diabetes, hypertension, hypercholesterolemia, history of cardiovascular disease, history of cancer, vitamin K antagonists, antiplatelet medication, heparin and oral contraceptives AT levels were not associated with all-cause mortality (HRQ1vsQ5: 0.92, 95% CI:0.74–1.15). Interestingly, the risk of CVD-related mortality was reduced in subjects with low AT levels compared to subjects with higher AT levels, after adjustment for age and sex and other confounders did not change the association (HRQ1vsQ5: 0.64, 95% CI:0.44–0.91). Moreover, low AT levels were associated with increased cancer mortality in a fully adjusted model (HRQ1vsQ2-5: 1.26, 95% CI:0.88–1.81).

Conclusions

Low AT levels are associated to a lower risk of fatal cardiovascular events in the general population, regardless of age, sex and medication use. In contrast, low AT levels are associated with lower cancer survival. For the first time we show that AT levels lower than the normal range in the general population, even before the development or diagnosis of cancer, are associated with an elevated risk of cancer death.

Older Adults' Access to Care during the COVID-19 Pandemic: Results from the LOckdown and LifeSTyles (LOST) in Lombardia Project

The COVID-19 pandemic disproportionally affected older people in terms of clinical outcomes and care provision. We aimed to investigate older adults' changes in access to care during the pandemic and their determinants. We used data from a cross-sectional study (LOST in Lombardia) conducted in autumn 2020 on a representative sample of 4400 older adults from the most populated region in Italy. Lifestyles, mental health, and access to healthcare services before and during the pandemic were collected. To identify factors associated with care delays, reduction in emergency department (ED) access, and hospitalisations, we estimated prevalence ratios (PR) and 95% confidence intervals (CI) using multivariable log-binomial regression models. During the pandemic, compared to the year before, 21.5% of the study population increased telephone contacts with the general practitioner (GP) and 9.6% increased self-pay visits, while 22.4% decreased GP visits, 12.3% decreased outpatient visits, 9.1% decreased diagnostic exams, 7.5% decreased ED access, and 6% decreased hospitalisations. The prevalence of care delays due to patient's decision (overall 23.8%) was higher among men (PR 1.16, 95% CI 1.05-1.29), subjects aged 75 years or more (PR 1.12, 95% CI 1.00-1.25), and those with a higher economic status (p for trend < 0.001). Participants with comorbidities more frequently cancelled visits and reduced ED access or hospitalisations, while individuals with worsened mental health status reported a higher prevalence of care delays and ED access reductions. Access to care decreased in selected sub-groups of older adults during the pandemic with likely negative impacts on mortality and morbidity in the short and long run.

Joint association of food nutritional profile by Nutri-Score front-of-pack label and ultra-processed food intake with mortality: Moli-sani prospective cohort study

OBJECTIVE

To jointly analyse two food dimensions, the Food Standards Agency Nutrient Profiling System (FSAm-NPS), used to derive the Nutri-Score front-of-pack label, and the NOVA classification in relation to mortality.

DESIGN

Prospective cohort study.

SETTING

Moli-sani Study, Italy 2005-10.

PARTICIPANTS

22 895 participants (mean age 55 (SD 12) years; 48% men).

MAIN OUTCOMES MEASURES

Associations between dietary exposures and mortality risk, assessed using multivariable cause specific Cox proportional hazard models controlled for known risk factors.

RESULTS

A total of 2205 deaths occurred during 272 960 person years of follow-up. In the highest quarter of the FSAm-NPS index compared with the lowest quarter, multivariable adjusted hazard ratios for all cause and cardiovascular mortality were 1.19 (95% confidence interval 1.04 to 1.35; absolute risk difference 4.3%, 95% confidence interval 1.4% to 7.2%) and 1.32 (1.06 to 1.64; 2.6%, 0.3% to 4.9%), respectively. The hazard ratios were 1.19 (1.05 to 1.36; absolute risk difference 9.7%, 5.0% to 14.3%) and 1.27 (1.02 to 1.58; 5.0%, 1.2% to 8.8%), respectively, for all cause and cardiovascular mortality when the two extreme categories of ultra-processed food intake were compared. When these two indices were analysed jointly, the magnitude of the association of the FSAm-NPS dietary index with all cause and cardiovascular mortality was attenuated by 22.3% and 15.4%, respectively, whereas mortality risks associated with high ultra-processed food intake were not altered.

CONCLUSIONS

Adults with the lowest quality diet, as measured using the FSAm-NPS dietary index (underpinning the Nutri-Score), and the highest ultra-processed food consumption (NOVA classification) were at the highest risk for all cause and cardiovascular mortality. A significant proportion of the higher mortality risk associated with an elevated intake of nutrient poor foods was explained by a high degree of food processing. In contrast, the relation between a high ultra-processed food intake and mortality was not explained by the poor quality of these foods.

A real world analysis of COVID-19 impact on hospitalizations in older adults with chronic conditions from an Italian region

Healthcare delivery reorganization during the COVID-19 emergency may have had a significant impact on access to care for older adults with chronic conditions. We investigated such impact among all adults with chronic conditions aged ≥ 65 years, identified through the electronic health databases of two local health agencies—ATS Brianza and ATS Bergamo—from the Lombardy region, Italy. We considered hospitalizations for 2020 compared to the average 2017–2019 and quantified differences using rate ratios (RRs). Overall, in 2017–2019 there were a mean of 374,855 older adults with  ≥ 1 chronic condition per year in the two ATS and 405,371 in 2020. Hospitalizations significantly decreased from 84,624 (225.8/1000) in 2017–2019 to 78,345 (193.3/1000) in 2020 (RR 0.86). Declines were reported in individuals with many chronic conditions and for most Major Diagnostic Categories, except for diseases of the respiratory system. The strongest reductions were observed in hospitalizations for individuals with active tumours, particularly for surgical ones. Hospitalization rates increased in individuals with diabetes, likely due to COVID-19-related diseases. Although determinants of the decrease in demand and supply for care among chronic older adults are to be further explored, this raises awareness on their impacts on chronic patients’ health in the medium and long run.

The North Italian Longitudinal Study Assessing the Mental Health Effects of SARS-CoV-2 Pandemic Health Care Workers—Part II: Structural Validity of Scales Assessing Mental Health

It is unclear if the factor structure of the questionnaires that were employed by studies addressing the impact of COVID-19 on the mental health of Healthcare Workers (HCW) did not change due to the pandemic. The aim of this study is to assess the factor structure and longitudinal measurement invariance of the Maslach Burnout Inventory (MBI) and the factor structure of the General Health Questionnare-12 (GHQ-12), PTSD Checklist for DSM-5-Short Form (PCL-5-SF), Connor-Davidson Resilience Scale-10 (CD-RISC-10) and Post-Traumatic Growth Inventory-Short Form (PTGI-SF). Out of n = 805 HCWs from a University hospital who responded to a pre-COVID-19 survey, n = 431 were re-assessed after the COVID-19 outbreak. A Confirmatory Factor Analysis (CFA) on the MBI showed adequate fit and good internal consistency only after removal of items 2, 6, 12 and 16. The assumptions of configural and metric longitudinal invariance were met, whereas scalar longitudinal invariance did not hold. CFAs and exploratory bifactor analyses performed using data from the second wave confirmed that the GHQ-12, the PCL-5-SF, the PTGI-SF and the CD-RISC-10 were unidimensional. In conclusion, we found support for a refined version of the MBI. The comparison of mean MBI values in HCWs before and after the pandemic should be interpreted with caution.