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Aims Perivascular fat attenuation index (FAI) has emerged as a novel coronary computed tomography angiography (CCTA)–based biomarker predicting cardiovascular outcomes by capturing early coronary inflammation. It is currently unknown whether FAI adds prognostic value beyond that provided by single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) and CCTA findings including coronary artery calcium scoring (CACS). Methods and results A total of 492 patients (mean age 62.5 ± 10.8 years) underwent clinically indicated multimodality CCTA and electrocardiography (ECG)-gated 99mTc-tetrofosmin SPECT-MPI between May 2005 and December 2008 at our institution, and follow-up data on major adverse cardiovascular events (MACE) was obtained for 314 patients. FAI was obtained from CCTA images and was measured around the right coronary artery (FAI[RCA]), the left anterior descending artery (FAI[LAD]), and the left main coronary artery (FAI[LMCA]). During a median follow-up of 2.7 years, FAI[RCA] > − 70.1 was associated with an increased rate of MACE (log rank p = 0.049), while no such association was seen for FAI[LAD] or FAI[LMCA] (p = NS). A multivariate Cox regression model accounting for cardiovascular risk factors, CCTA and SPECT-MPI findings identified FAI[RCA] as an independent predictor of MACE (HR 2.733, 95% CI: 1.220–6.123, p = 0.015). However, FAI[RCA] was no longer a significant predictor of MACE after adding CACS (p = 0.279). A first-order interaction term consisting of sex and FAI[RCA] was significant in both models (HR 2.119, 95% CI: 1.218–3.686, p = 0.008; and HR 2.071, 95% CI: 1.111–3.861, p = 0.022). Conclusion FAI does not add incremental prognostic value beyond multimodality MPI/CCTA findings including CACS. The diagnostic value of FAI[RCA] is significantly biased by sex.

Background Inflammation plays a fundamental role in mediating all stages of atherosclerosis. Given the higher prevalence of inflammatory rheumatologic conditions in women and the female propensity towards worse cardiovascular outcomes, refined strategies are needed to better identify the high-risk female cardiovascular phenotype. Objectives This article aims to assess sex-specific links between inflammatory processes and the development and progression of ischemic heart disease. Patients and Methods The relationship between vertebral bone marrow metabolism—a marker of inflammation—and myocardial injury was retrospectively assessed in 294 patients (28.6% women, mean age: 66.9 ± 10.0 years) who underwent 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and 99mTc-tetrofosmin single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). Results A significant increase in 18F-FDG bone marrow uptake was observed in women with impaired myocardial perfusion (SPECT-MPI) as compared to women with normal myocardial perfusion (standardized uptake value [SUV]: 2.2 ± 1.2 vs. 1.7 ± 0.5, p = 0.013), while no such difference was observed in men (SUV: 1.6 ± 0.8 vs. 1.6 ± 0.4, p = 0.372). Furthermore, a significant inverse correlation between left ventricular ejection fraction (LVEF) and bone marrow metabolism was seen in women (r = –0.229, p = 0.037), but not in men (r = –0.075, p = 0.289). Accordingly, in women, but not in men, bone marrow activity was identified as an independent predictor of both, reduced LVEF (β-coefficient, –4.537; p = 0.040) and impaired myocardial perfusion (β-coefficient, 0.138; p = 0.014). Conclusion A strong link between bone marrow metabolism and impaired myocardial function and perfusion was observed in women, but not in men. Our data suggest that novel biomarkers of inflammation might help to identify women at risk for ischemic cardiomyopathy and to tailor disease management to the female cardiovascular phenotype.

Objective: Positron emission tomography/computed tomography with 18F-fluorodeoxy-glucose (18F-FDG-PET/CT) has become the standard staging modality in various tumor entities. Cancer patients frequently receive cardio-toxic therapies. However, routine cardiovascular assessment in oncologic patients is not performed in current clinical practice. Accordingly, this study sought to assess whether myocardial 18F-FDG uptake patterns of patients undergoing oncologic PET/CT can be used for cardiovascular risk stratification. Methods: Myocardial 18F-FDG uptake pattern was assessed in 302 patients undergoing both oncologic whole-body 18F-FDG-PET/CT and myocardial perfusion imaging by single-photon emission computed tomography (SPECT-MPI) within a six-month period. Primary outcomes were myocardial 18F-FDG uptake pattern, impaired myocardial perfusion, ongoing ischemia, myocardial scar, and left ventricular ejection fraction. Results: Among all patients, 109 (36.1%) displayed no myocardial 18F-FDG uptake, 77 (25.5%) showed diffuse myocardial 18F-FDG uptake, 24 (7.9%) showed focal 18F-FDG uptake, and 92 (30.5%) had a focal on diffuse myocardial 18F-FDG uptake pattern. In contrast to the other uptake patterns, focal myocardial 18F-FDG uptake was predominantly observed in patients with myocardial abnormalities (i.e., abnormal perfusion, impaired LVEF, myocardial ischemia, or scar). Accordingly, a multivariate logistic regression identified focal myocardial 18F-FDG uptake as a strong predictor of abnormal myocardial function/perfusion (odds ratio (OR) 5.32, 95% confidence interval (CI) 1.73–16.34, p = 0.003). Similarly, focal myocardial 18F-FDG uptake was an independent predictor of ongoing ischemia and myocardial scar (OR 4.17, 95% CI 1.53–11.4, p = 0.005 and OR 3.78, 95% CI 1.47–9.69, p = 0.006, respectively). Conclusions: Focal myocardial 18F-FDG uptake seen on oncologic PET/CT indicates a significantly increased risk for multiple myocardial abnormalities. Obtaining and taking this information into account will help to stratify patients according to risk and will reduce unnecessary cardiovascular complications in cancer patients.

Background: Evidence to date indicates that mortality of acute coronavirus disease (COVID-19) is higher in men than in women. Conversely, women seem more likely to suffer from long-term consequences of the disease and pronounced negative social and economic impacts. Sex- and gender-specific risk factors of COVID-19-related long-term effects are unknown. Methods: We conducted a multicentre prospective observational cohort study of 5838 (44.6% women) individuals in Switzerland who were tested positive for SARS-CoV-2 RNA between February and December 2020. Of all surviving individuals who met the inclusion criteria, 2799 (1285 [45.9%] women) completed a follow-up questionnaire. Findings: After a mean follow-up time of 197±77 days, women more often reported at least one persistent symptom (43.0% vs 31.5%, p<0.001) with reduced exercise tolerance and reduced resilience being the most frequently reported symptom in both sexes. Critical illness (intermediate or intensive care unit admission) during acute SARS-CoV-2 infection (odds ratio[95%CI]: 4.00[2.66-6.02], p<0.0001 was a risk factor of post-COVID-19 syndrome in both women and men. Women with pre-existing mental illness (1.81[1.00-3.26], p=0.049), cardiovascular risk factors (1.39[1.03-1.89], p=0.033), higher self-reported domestic stress levels (1.15[1.08-1.22], p<0.0001), and feminine gender identity (1.12[1.02-1.24], p=0.02) increased the odds of experiencing post-COVID syndrome. Conversely, obesity (1.44[1.03-2.02], p=0.034) increased the odds of post-COVID-19 syndrome in men, but not in women. Being responsible for household work (men, OR 0.82[0.69-0.97], p=0.021), taking care of children/relatives (women, 0.90[0.84-0.96], p=0.002) or being pregnant at the time of acute COVID-19 illness (OR 0.48[0.23-1.01], p=0.054) was associated with lower odds of post-COVID syndrome. Interpretation: Predictors of post-COVID syndrome differ between men and women. Our data reinforce the importance to include sex and gender to identify patients at risk for post-COVID syndrome so that access to care and early intervention can be tailored to their different needs.