Gender Differences in Takotsubo Syndrome.

BACKGROUND: Male sex in takotsubo syndrome (TTS) has a low incidence and it is still not well characterized. OBJECTIVES: The aim of the present study is to describe TTS sex differences. METHODS: TTS patients enrolled in the international multicenter GEIST (GErman Italian Spanish Takotsubo) registry were analyzed. Comparisons between sexes were performed within the overall cohort and using an adjusted analysis with 1:1 propensity score matching for age, comorbidities, and kind of trigger. RESULTS: In total, 286 (11%) of 2,492 TTS patients were men. Male patients were younger (age 69 ± 13 years vs 71 ± 11 years; P = 0.005), with higher prevalence of comorbid conditions (diabetes mellitus 25% vs 19%; P = 0.01; pulmonary diseases 21% vs 15%; P = 0.006; malignancies 25% vs 13%; P < 0.001) and physical trigger (55 vs 32% P < 0.01). Propensity-score matching yielded 207 patients from each group. After 1:1 propensity matching, male patients had higher rates of cardiogenic shock and in-hospital mortality (16% vs 6% and 8% vs 3%, respectively; both P < 0.05). Long-term mortality rate was 4.3% per patient-year (men 10%, women 3.8%). Survival analysis showed higher mortality rate in men during the acute phase in both cohorts (overall: P < 0.001; matched: P = 0.001); mortality rate after 60 days was higher in men in the overall (P = 0.002) but not in the matched cohort (P = 0.541). Within the overall population, male sex remained independently associated with both in-hospital (OR: 2.26; 95% CI: 1.16-4.40) and long-term mortality (HR: 1.83; 95% CI: 1.32-2.52). CONCLUSIONS: Male TTS is featured by a distinct high-risk phenotype requiring close in-hospital monitoring and long-term follow-up.

Metabolic and Lipidomic Markers Differentiate COVID-19 From Non-Hospitalized and Other Intensive Care Patients.

Coronavirus disease 2019 (COVID-19) is a viral infection affecting multiple organ systems of great significance for metabolic processes. Thus, there is increasing interest in metabolic and lipoprotein signatures of the disease, and early analyses have demonstrated a metabolic pattern typical for atherosclerotic and hepatic damage in COVID-19 patients. However, it remains unclear whether this is specific for COVID-19 and whether the observed signature is caused by the disease or rather represents an underlying risk factor. To answer this question, we have analyzed 482 serum samples using nuclear magnetic resonance metabolomics, including longitudinally collected samples from 12 COVID-19 and 20 cardiogenic shock intensive care patients, samples from 18 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody-positive individuals, and single time point samples from 58 healthy controls. COVID-19 patients showed a distinct metabolic serum profile, including changes typical for severe dyslipidemia and a deeply altered metabolic status compared with healthy controls. Specifically, very-low-density lipoprotein and intermediate-density lipoprotein particles and associated apolipoprotein B and intermediate-density lipoprotein cholesterol were significantly increased, whereas cholesterol and apolipoprotein A2 were decreased. Moreover, a similarly perturbed profile was apparent when compared with other patients with cardiogenic shock who are in the intensive care unit when looking at a 1-week time course, highlighting close links between COVID-19 and lipid metabolism. The metabolic profile of COVID-19 patients distinguishes those from healthy controls and also from patients with cardiogenic shock. In contrast, anti-SARS-CoV-2 antibody-positive individuals without acute COVID-19 did not show a significantly perturbed metabolic profile compared with age- and sex-matched healthy controls, but SARS-CoV-2 antibody-titers correlated significantly with metabolic parameters, including levels of glycine, ApoA2, and small-sized low- and high-density lipoprotein subfractions. Our data suggest that COVID-19 is associated with dyslipidemia, which is not observed in anti-SARS-CoV-2 antibody-positive individuals who have not developed severe courses of the disease. This suggests that lipoprotein profiles may represent a confounding risk factor for COVID-19 with potential for patient stratification.