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AIMS: We analysed baseline characteristics and guideline-directed medical therapy (GDMT) use and decisions in the European Society of Cardiology (ESC) Heart Failure (HF) III Registry. METHODS AND RESULTS: Between 1 November 2018 and 31 December 2020, 10 162 patients with acute HF (AHF, 39%, age 70 [62-79], 36% women) or outpatient visit for HF (61%, age 66 [58-75], 33% women), with HF with reduced (HFrEF, 57%), mildly reduced (HFmrEF, 17%) or preserved (HFpEF, 26%) ejection fraction were enrolled from 220 centres in 41 European or ESC-affiliated countries. With AHF, 97% were hospitalized, 2.2% received intravenous treatment in the emergency department, and 0.9% received intravenous treatment in an outpatient clinic. AHF was seen by most by a general cardiologist (51%) and outpatient HF most by a HF specialist (48%). A majority had been hospitalized for HF before, but 26% of AHF and 6.1% of outpatient HF had de novo HF. Baseline use, initiation and discontinuation of GDMT varied according to AHF versus outpatient HF, de novo versus pre-existing HF, and by ejection fraction. After the AHF event or outpatient HF visit, use of any renin-angiotensin system inhibitor, angiotensin receptor-neprilysin inhibitor, beta-blocker, mineralocorticoid receptor antagonist and loop diuretics was 89%, 29%, 92%, 78%, and 85% in HFrEF; 89%, 9.7%, 90%, 64%, and 81% in HFmrEF; and 77%, 3.1%, 80%, 48%, and 80% in HFpEF. CONCLUSION: Use and initiation of GDMT was high in cardiology centres in Europe, compared to previous reports from cohorts and registries including more primary care and general medicine and regions more local or outside of Europe and ESC-affiliated countries.

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The paper provides a brief overview of developments in the area of digitalisation of medical services. Key factors for telemedicine goals are identified and a new trend in medical technology development using artificial intelligence is presented. The final part of the article presents an analysis of data from a study on the implementation of telemedicine solutions in cardiology in one of the largest Polish research institutes with two hospitals. Risks and drivers for the development of telemedicine in the assessment of patients in cardiology are identified. E-health solutions connect the needs of patients and technological advances, crossing the barriers of traditional healthcare systems. Telemedicine requires more involvement of the patient in diagnosis, and the ability to recognise worrying symptoms is important for further treatment.

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BACKGROUND: The knowledge on the prevalence of elevated lipoprotein(a) (Lp(a)), patients' characteristics, and nongenetic risk factors is scarce in some regions including Poland, the largest Central and Eastern European country. Thus, we aimed to present the results from the Lp(a) registry established in Poland's 2nd largest, supra-regional hospital - the Polish Mother's Memorial Hospital Research Institute (PMMHRI). METHODS: The PMMHRI-Lp(a)-Registry was established in January 2022. Since that time all consecutive patients of the Departments of Cardiology, Endocrinology, and outpatient cardiology, diabetology and metabolic clinics have been included. The indications for Lp(a) measurement in the registry are based on the 2021 Polish Lipid Guidelines and new Polish recommendations on the management of elevated Lp(a) (2024). Lp(a) was determined using Sentinel's Lp(a) Ultra, an Immunoturbidimetric quantitative test (Sentinel, Milan, Italy), and the results are presented in mg/dL. RESULTS: 511 patients were included in the registry between Jan 2022 and 15th May 2024. The mean age of patients was 48.21 years. Female patients represented 53.42 % of the population. Elevated Lp(a) levels above 30 and 50 mg/dL were detected in 142 (27.79 %), and 101 (19.8 %) patients, respectively. The mean Lp(a) level was 30.45 ± 42.50 mg/dL, with no significant sex differences [mean for men: 28.80 mg/dL; women: 31.89 mg/dL]. There were also no significant differences between those with and without: coronary artery disease (CAD), dyslipidemia, stroke, heart failure, cancer, diabetes, chronic kidney disease, and thyroid disease. The significant Lp(a) level difference was observed in those with a history of myocardial infarction (MI) vs those without (51.47 ± 55.16 vs 28.09 ± 37.51 mg/dL, p < 0.001). However, when we divided those with premature vs no premature MI, no significant difference in Lp(a) level was observed (51.43 ± 57.82 vs 51.52 ± 53.18 mg/dL, p = 0.95). Lipid-lowering therapy (LLT) at baseline did not significantly affect Lp(a) level, with only significant differences for the highest doses of rosuvastatin (p < 0.05) and in those treated with ezetimibe (as a part of the combination therapy; 44.73 ± 54.94 vs 26.84 ± 37.11 mg/dL, p < 0.001). For selected patients (n = 43; 8.42 %) with at least two Lp(a) measurements (mean time distance: 7 ± 5 months, range 1-20 months) we did not observe statistically significant visit-to-visit variability (mean difference: 3.25 mg/dL; r = 0.079, p = 0.616). While dividing the whole population into those with Lp(a) ≤30 mg/dL and > 30 mg/dL, the only hyper-Lp(a)-emia prevalence differences were seen for FH diagnosis (12.88 vs 21.43; p = 0.017), MI prevalence (6.52 vs 16.90 %; p < 0.001), thyroid disease diagnosis (18.14 vs 26.76 %; p = 0.033) and ezetimibe treatment (18.58 vs 30.77 %, p = 0.036). A similar pattern was observed while dividing the whole population on those with Lp(a) ≤50 mg/dL (125 nmol/L) and > 50 mg/dL (125 nmol/L) except for no statistical difference for thyroid disease. CONCLUSIONS: These results strongly emphasize that Lp(a) should be measured commonly, as its high level is highly prevalent (even every 3rd patient) in patients at cardiovascular disease (CVD) risk in primary and secondary prevention, requiring risk re-stratification and optimization of the treatment. This is especially important in the regions that characterize baseline high CVD risk, which refers to most CEE countries, including Poland.

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Over several decades, the approach to treating dyslipidaemias during pregnancy remains essentially unchanged. The lack of advancement in this field is mostly related to the fact that we lack clinical trials of pregnant patients both with available as well as new therapies. While there are numerous novel therapies developed for non-pregnant patients, there are still many limitations in dyslipidaemia treatment during pregnancy. Besides pharmacotherapy and careful clinical assessment, the initiation of behavioural modifications as well as pre-conception management is very important. Among the various lipid-lowering medications, bile acid sequestrants are the only ones officially approved for treating dyslipidaemia in pregnancy. Ezetimibe and fenofibrate can be considered if their benefits outweigh potential risks. Statins are still considered contraindicated, primarily due to animal studies and human case reports. However, recent systematic reviews and meta-analyses as well as data on familial hypercholesterolaemia (FH) in pregnant patients have indicated that their use may not be harmful and could even be beneficial in certain selected cases. This is especially relevant for pregnant patients at very high cardiovascular risk, such as those who have already experienced an acute cardiovascular event or have homozygous or severe forms of heterozygous FH. In these cases, the decision to continue therapy during pregnancy should weigh the potential risks of discontinuation. Bempedoic acid, olezarsen, evinacumab, evolocumab and alirocumab, and inclisiran are options to consider just before and after pregnancy is completed. In conclusion, decisions regarding lipid-lowering therapy for pregnant patients should be personalized. Despite the challenges in designing and conducting studies in pregnant women, there is a strong need to establish the safety and efficacy of dyslipidaemia treatment during pregnancy.

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Heart failure (HF) is a significant health concern; early detection and prevention are crucial. Recent studies suggest that the gut microbiota and its metabolites may influence HF development and risk factors. We explored this relationship by examining changes in gut microbiota composition and metabolite levels in HF patients. HF patients often exhibit decreased alpha and beta diversity compared to controls, suggesting lower bacterial richness and community variation. Changes in specific bacterial phyla were observed, with decreases in Firmicutes (e.g., Ruminococcus) and Bacteroidetes (e.g., Prevotella) and increases in Proteobacteria (e.g., Escherichia, Shigella, and Klebsiella) and Actinobacteria. Gut-microbiota-related metabolites have been identified, potentially affecting various body systems, including the cardiovascular system. Among these are short-chain fatty acids (SCFAs), betaine, trimethylamine N-oxide (TMAO), phenylalanine, tryptophan-kynurenine, and phenylacetylgutamine (PAGIn). Although SCFAs positively affect our organisms, patients with HF have been observed to experience a decline in bacteria responsible for producing these chemical compounds. There have been indications of possible links between betaine, TMAO, phenylalanine, tryptophan-kynurenine, PAGIn, and heart failure. TMAO and phenylalanine, in particular, show promise as potential prognostic factors. However, their clinical significance has not yet been thoroughly evaluated and requires further investigation.

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Background: The prevalence of long-COVID (LC) presents a significant challenge to healthcare systems globally. There are still some discrepancies on the role of sex as an independent risk factor of LC complications. Thus, we aimed to determine the differences in clinical and cardiovascular complications between males and females without comorbidities after COVID-19. Methods: Clinical data on the course of the disease with the accompanying symptoms and post-COVID-19 symptoms were compiled from both male and female subjects with a minimum 12-week interval after COVID-19 recovery. Next, the patients were followed for 12 months. ECG, echocardiography, 24 h ECG monitoring, 24 h ambulatory blood pressure monitoring (ABPM), and selected biochemical tests were performed. LC was diagnosed based on the World Health Organization (WHO) definition. To reduce the impact of confounders, i.e., body mass index (BMI) and age, on the results of the study, the nearest neighbour (NN) propensity score matching (PSM) method with a 1:1 ratio was used. Results: The results were obtained following the removal of cases with comorbidities from the database consisting of 1237 males and 2192 females, and PSM of the new database included 886 cases (443 males and 443 females). At both the 3-month and 1-year post-recovery marks, females consistently reported a higher frequency of LC symptoms compared to males (p < 0.001 for both comparisons). Moreover, after 1 year of follow-up, females exhibited a higher prevalence of LC compared to males, with rates of 14% versus 8.3%, respectively (p = 0.013). The symptoms that significantly differed between females and males in the 12-month follow-up were hair loss (5.4 vs. 0.7%, p < 0.001), memory and concentration disturbances (8.4 vs. 4.3%, p = 0.013), and headaches (4.3 vs. 1.4%, p = 0.008). Females presented lower mean arterial pressure (MAP) [89 (83-95) mmHg versus (vs.) 94 (89-100); p < 0.001] and lower pulse pressure (PP) [46 (42-52) mmHg vs. 51 (48-57); p < 0.001] in 24 h ABPM and more elevated heart rates (HRs) in 24 h ECG monitoring as well as arrhythmia (p < 0.001 and p = 0.018, respectively). Males had a higher occurrence of ECG abnormalities such as QRS >= 120 ms, ST-T changes, T inversion, arrhythmia, and QRS fragmentation (27.3% vs. 19.2%; p = 0.004). No significant differences were observed between males and females concerning physical activity levels, stress, fatigue, alcohol consumption, and smoking habits. Conclusions: One year post-COVID-19 recovery, regardless of age and BMI, healthy females more often suffered from LC symptoms than males. They had lower MAP and PP in 24 h ABPM, more often had higher HRs and arrhythmia in 24 h ECG monitoring, and fewer ECG abnormalities than males.

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Lipoprotein(a) [Lp(a)] is made up of a low-density lipoprotein (LDL) particle and a specific apolipoprotein(a). The blood concentration of Lp(a) is approximately 90% genetically determined, and the main genetic factor determining Lp(a) levels is the size of the apo(a) isoform, which is determined by the number of KIV2 domain repeats. The size of the apo(a) isoform is inversely proportional to the blood concentration of Lp(a). Lp(a) is a strong and independent cardiovascular risk factor. Elevated Lp(a) levels ≥ 50 mg/dl (≥ 125 nmol/l) are estimated to occur in more than 1.5 billion people worldwide. However, determination of Lp(a) levels is performed far too rarely, including Poland, where, in fact, it is only since the 2021 guidelines of the Polish Lipid Association (PoLA) and five other scientific societies that Lp(a) measurements have begun to be performed. Determination of Lp(a) concentrations is not easy due to, among other things, the different sizes of the apo(a) isoforms; however, the currently available certified tests make it possible to distinguish between people with low and high cardiovascular risk with a high degree of precision. In 2022, the first guidelines for the management of patients with elevated lipoprotein(a) levels were published by the European Atherosclerosis Society (EAS) and the American Heart Association (AHA). The first Polish guidelines are the result of the work of experts from the two scientific societies and their aim is to provide clear, practical recommendations for the determination and management of elevated Lp(a) levels.

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BACKGROUND: The aim of the study was to identify factors that may cause the presence of long COVID and to assess factors that affect chronic limited exercise tolerance in spiroergometry after one-year follow-up in patients who had recovered from COVID-19. METHODS: Of 146 patients hospitalised in the Cardiology Department, 82 completed a one-year follow-up (at least 15 months post-COVID-19 recovery). We compared their conditions at initial screening and follow-up to analyse the course of long COVID and exercise intolerance mechanisms. Clinical examinations, laboratory tests, echocardiography, cardiopulmonary exercise testing, and body composition analysis were performed. RESULTS: The patients, after one-year follow-up, had significantly higher levels of high-sensitivity cardiac troponin T (hs-cTnT) (p = 0.03), left atrium diameter (LA) (p = 0.03), respiratory exchange ratio (RER) (p = 0.008), and total body water content percentage (TBW%) (p < 0.0001) compared to the 3-month assessment. They also had lower forced vital capacity in litres (FVC) (p = 0.02) and percentage (FVC%) (p = 0.001). The factors independently associated with a decline in maximum oxygen uptake (VO2max) after one-year follow-up included the percentage of fat (OR 2.16, 95% CI: 0.51-0.77; p = 0.03), end-diastolic volume (EDV) (OR 2.38, 95% CI 0.53-0.78; p = 0.02), and end-systolic volume (ESV) (OR 2.3, 95% CI: 0.52-0.78; p = 0.02). CONCLUSIONS: Higher left ventricular volumes and fat content (%) were associated with a reduced peak VO2max when assessed 15 months after COVID-19 recovery.

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Key Clinical Message: Asymptomatic severe aortic stenosis (AS) during pregnancy remains challenging; however, the postponement of surgery with the possibility of valvuloplasty as a bridge therapy seems reasonable. Our case showed that despite physiological changes during pregnancy, the aortic valve defect did not worsen, which allowed us to avoid dilemmas related to anticoagulation on artificial valve. Abstract: A 31-year-old woman, with a bicuspid aortic aorta, post-aortic valvulotomy, was listed for cardiac surgery because of severe aortic stenosis. However, the operation was postponed due to procreation plans. During the pregnancy and delivery, we did not observe neither deterioration of symptoms nor changes of echocardiographic parameters. Subsequent monthly echocardiographic studies did not reveal a significant increase of peak and mean aortic gradient.Presented case reports showed that despite physiological changes associated with pregnancy, the aortic valve defect did not worsen, which allowed to avoid dilemmas related to anticoagulation on artificial valves.

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Heart failure (HF) is a leading cause of morbidity and mortality and a major public health problem. Both overhydration and dehydration are non-physiological states of the body that can adversely affect human health. Congestion and residual congestion are common in patients hospitalized for HF and are associated with poor prognosis and high rates of rehospitalization. However, the clinical problem of dehydration is also prevalent in healthcare and community settings and is associated with increased morbidity and mortality. This article provides a comprehensive review of the issue of congestion and dehydration in HF, including HF guidelines, possible causes of dehydration in HF, confirmed and potential new diagnostic methods. In particular, a full database search on the relationship between dehydration and HF was performed and all available evidence in the literature was reviewed. The novel hypothesis of chronic subclinical hypohydration as a modifiable risk factor for HF is also discussed. It is concluded that maintaining euvolemia is the cornerstone of HF management. Physicians have to find a balance between decongestion therapy and the risk of dehydration.

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Background We aimed to compare statin monotherapy and upfront combination therapy of statin and ezetimibe in patients with acute coronary syndromes (ACSs). Methods and Results The study included consecutive patients with ACS included in the PL-ACS (Polish Registry of Acute Coronary Syndromes), which is a national, multicenter, ongoing, prospective observational registry that is mandatory for patients with ACS hospitalized in Poland. Data were matched using the Mahalanobis distance within propensity score matching calipers. Multivariable stepwise logistic regression analysis, including all variables, was next used in propensity score matching analysis. Finally, 38 023 consecutive patients with ACS who were discharged alive were included in the analysis. After propensity score matching, 2 groups were analyzed: statin monotherapy (atorvastatin or rosuvastatin; n=768) and upfront combination therapy of statin and ezetimibe (n=768 patients). The difference in mortality between groups was significant during the follow-up and was present at 1 (5.9% versus 3.5%; P=0.041), 2 (7.8% versus 4.3%; P=0.019), and 3 (10.2% versus 5.5%; P=0.024) years of follow-up in favor of the upfront combination therapy, as well as for the overall period. For the treatment, rosuvastatin significantly improved prognosis compared with atorvastatin (odds ratio [OR], 0.790 [95% CI, 0.732-0.853]). Upfront combination therapy was associated with a significant reduction of all-cause mortality in comparison with statin monotherapy (OR, 0.526 [95% CI, 0.378-0.733]), with absolute risk reduction of 4.7% after 3 years (number needed to treat=21). Conclusions The upfront combination lipid-lowering therapy is superior to statin monotherapy for all-cause mortality in patients with ACS. These results suggest that in high-risk patients, such an approach, rather than a stepwise therapy approach, should be recommended.

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AIMS: There is good evidence showing that inactivity and walking minimal steps/day increase the risk of cardiovascular (CV) disease and general ill-health. The optimal number of steps and their role in health is, however, still unclear. Therefore, in this meta-analysis, we aimed to evaluate the relationship between step count and all-cause mortality and CV mortality. METHODS AND RESULTS: We systematically searched relevant electronic databases from inception until 12 June 2022. The main endpoints were all-cause mortality and CV mortality. An inverse-variance weighted random-effects model was used to calculate the number of steps/day and mortality. Seventeen cohort studies with a total of 226 889 participants (generally healthy or patients at CV risk) with a median follow-up 7.1 years were included in the meta-analysis. A 1000-step increment was associated with a 15% decreased risk of all-cause mortality [hazard ratio (HR) 0.85; 95% confidence interval (CI) 0.81-0.91; P < 0.001], while a 500-step increment was associated with a 7% decrease in CV mortality (HR 0.93; 95% CI 0.91-0.95; P < 0.001). Compared with the reference quartile with median steps/day 3867 (2500-6675), the Quartile 1 (Q1, median steps: 5537), Quartile 2 (Q2, median steps 7370), and Quartile 3 (Q3, median steps 11 529) were associated with lower risk for all-cause mortality (48, 55, and 67%, respectively; P < 0.05, for all). Similarly, compared with the lowest quartile of steps/day used as reference [median steps 2337, interquartile range 1596-4000), higher quartiles of steps/day (Q1 = 3982, Q2 = 6661, and Q3 = 10 413) were linearly associated with a reduced risk of CV mortality (16, 49, and 77%; P < 0.05, for all). Using a restricted cubic splines model, we observed a nonlinear dose-response association between step count and all-cause and CV mortality (Pnonlineraly < 0.001, for both) with a progressively lower risk of mortality with an increased step count. CONCLUSION: This meta-analysis demonstrates a significant inverse association between daily step count and all-cause mortality and CV mortality with more the better over the cut-off point of 3867 steps/day for all-cause mortality and only 2337 steps for CV mortality.

There is strong evidence showing that sedentary life may significantly increase the risk of cardiovascular (CV) disease and shorten the lifespan. However, the optimal number of steps, both the cut-off points over which we can see health benefits, and the upper limit (if any), and their role in health are still unclear. In this meta-analysis of 17 studies with almost 227 000 participants that assessed the health effects of physical activity expressed by walking measured in the number of steps, we showed that a 1000-step increment correlated with a significant reduction of all-cause mortality of 15%, and similarly, a 500-step increment correlated with a reduced risk of CV mortality of 7%. In addition, using the dose­response model, we observed a strong inverse nonlinear association between step count and all-cause mortality with significant differences between younger and older groups. It is the first analysis that not only looked at age and sex but also regional differences based on the weather zones, and for the first time, it assesses the effect of up to 20 000 steps/day on outcomes (confirming the more the better), which was missed in previous analyses. The analysis also revealed that depending on the outcomes, we do not need so many steps to have health benefits starting with even 2500/4000 steps/day, which, in fact, undermines the hitherto definition of a sedentary life.

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Muscle wasting is one of the main causes for exercise intolerance and ventilatory inefficiency in patients with heart failure and a strong predictor of frailty and reduced survival. The prevalence of sarcopenia is at least 20% in patients with heart failure. Patients with heart failure often have subclinical systemic inflammation, which may exert sustained effects on skeletal muscle. Besides exercise, nutrition should also be carefully evaluated as an appropriate diet with selected nutraceuticals may be able to stimulate muscle anabolism and inhibit muscle catabolism. This review summarizes the epidemiological and clinical trial evidence supporting the recommendations for the use of nutraceuticals with anti-inflammatory properties in heart failure and provides an overview of the state of the evidence for nutraceutical supplementation to prevent and/or mitigate heart failure muscle wasting.

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Introduction: Heart failure (HF) is still a major cause of morbidity and mortality all over the world. Aim of the study was to assess the benefits and harms of sacubitril/valsartan (S/V) compared to angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB) in patients with HF. Material and methods: We systematically searched for randomised controlled trials (RCTs) evaluating S/V vs. ACEI or ARB in acute or chronic HF in August 2021. Primary outcomes were HF hospitalisations and cardiovascular (CV) mortality; secondary outcomes included all-cause mortality, biomarkers, and renal function. Results: We selected 11 RCTs (n = 18766) with 2-48 months follow-up. Five RCTs had ACEIs as control, 5 RCTs had ARBs as control, and one RCT had both ACEI and ARB as control. Compared to ACEI or ARB, S/V reduced HF hospitalisations by 20% (HR = 0.80, 95% CI: 0.68-0.94; 3 RCTs; I2 = 65%; high CoE), CV mortality by 14% (HR = 0.86, 95% CI: 0.73-1.01; 2 RCTs; I2 = 57%; high CoE), and all-cause mortality by 11% (HR = 0.89, 95% CI: 0.78-1.00; 3 RCTs; I2 = 36%; high CoE). S/V reduced NTproBNP (SMD = -0.34, 95% CI: -0.52 to -0.16; 3 RCTs; I2 = 62%) and hs-TNT (ratio of differences = 0.84, 95% CI: 0.79-0.88; 2 RCTs; I2 = 0%), and caused a decline in renal function by 33% (HR = 0.67, 95% CI: 0.39-1.14; 2 RCTs; I2 = 78%; high CoE). S/V increased hypotension (RR = 1.69, 95% CI: 1.33-2.15; 9 RCTs; I2 = 65%; high CoE). Hyperkalaemia and angioedema events were similar. Effects were in the same direction when stratified by type of control (ACEI vs. ARB). Conclusions: Sacubitril/valsartan had better clinical, intermediate, and renal outcomes in HF in comparison to ACEI or ARB. There was no difference in angioedema and hyperkalaemia events, but there were more hypotension events.

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Coronavirus disease 2019 (COVID-19) is a severe respiratory syndrome caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Heart failure (HF) is associated with a worse prognosis for patients with this viral infection, highlighting the importance of early detection and effective treatment strategies. HF can also be a consequence of COVID-19-related myocardial damage. To optimise the treatment of these patients, one needs to understand the interactions between this disease and viruses. Until now, the validity of the screening for cardiovascular complications after COVID-19 has not been confirmed. There were also no patients in whom such diagnostics seemed appropriate. Until appropriate recommendations are made, diagnosis procedures must be individualised based on the course of the acute phase and clinical symptoms reported or submitted after COVID-19. Clinical phenomena are the criteria for determining the recommended test panel. We present a structured approach to COVID-19 patients with heart involvement.

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The emergence of the Coronavirus Disease 2019 (COVID-19) pandemic has brought forth various clinical manifestations and long-term complications, including a condition known as long COVID. Long COVID refers to a persistent set of symptoms that continue beyond the acute phase of the disease. This study investigated the risk factors and the utility of spiroergometry parameters for diagnosing patients with long COVID symptoms. The 146 patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection with normal left ventricular ejection fraction and without respiratory diseases were included and divided into two groups: the group demonstrating long COVID symptoms [n = 44] and the group without long COVID symptoms [n = 102]. The clinical examinations, laboratory test results, echocardiography, non-invasive body mass analysis, and spiroergometry were evaluated. ClinicalTrials.gov Identifier: NCT04828629. Patients with long COVID symptoms had significantly higher age [58 (vs.) 44 years; p < 0.0001], metabolic age [53 vs. 45 years; p = 0.02)], left atrial diameter (LA) [37 vs. 35 mm; p = 0.04], left ventricular mass index (LVMI) [83 vs. 74 g/m2, p = 0.04], left diastolic filling velocity (A) [69 vs. 64 cm/s, p = 0.01], the ratio of peak velocity of early diastolic transmitral flow to peak velocity of early diastolic mitral annular motion (E/E') [7.35 vs. 6.05; p = 0.01], and a lower ratio of early to late diastolic transmitral flow velocity (E/A) [1.05 vs. 1.31; p = 0.01] compared to the control group. In cardiopulmonary exercise testing (CPET), long COVID patients presented lower forced vital capacity (FVC) [3.6 vs. 4.3 L; p < 0.0001], maximal oxygen consumption measured during incremental exercise indexed per kilogram (VO2max) [21 vs. 23 mL/min/kg; p = 0.04], respiratory exchange ratio (RER) [1.0 vs. 1.1; p = 0.04], forced expiratory volume in one second (FEV1) [2.90 vs. 3.25 L; p = 0.04], and a higher ratio of forced expiratory volume in one second to forced vital capacity (FEV1/FVC%) [106 vs. 100%; p = 0.0002]. The laboratory results pointed out that patients with long COVID symptoms also had a lower rate of red blood cells (RBC) [4.4 vs. 4.6 × 106/uL; p = 0.01]; a higher level of glucose [92 vs. 90 mg/dL; p = 0.03]; a lower glomerular filtration rate (GFR) estimate by Modification of Diet in Renal Disease (MDRD) [88 vs. 95; p = 0.03]; and a higher level of hypersensitive cardiac Troponin T (hs-cTnT) [6.1 vs. 3.9 pg/mL; p = 0.04]. On the multivariate model, only FEV1/FVC% (OR 6.27, 95% CI: 2.64-14.86; p < 0.001) independently predicted the long COVID symptoms. Using the ROC analysis, the FEV1/FVC% ≥ 103 was the most powerful predictor of spiroergometry parameters (0.67 sensitive, 0.71 specific, AUC of 0.73; p < 0.001) in predicting the symptoms of long COVID. Spiroergometry parameters are useful in diagnosing long COVID and differentiating it from cardiovascular disease.

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We report the case of a successful complex percutaneous intervention in a patient with Fontan circulation and severe heart failure. The patient presented with cyanosis; Fontan conduit stenosis was detected, and the fenestration was patent. The complex interventional procedure allowed for a long-term stabilization of the patient's condition.

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BACKGROUND: Heart failure (HF) is the only cardiovascular disease with an ever-increasing incidence. AIMS: The aim of this study was to assess the predictors of adverse clinical events (CE) and the creation and evaluation of the prognostic value of a novel personalized scoring system in patients with HF. METHODS: The study included 113 HF patients (median age 64 years (IQR 58-69); 57.52% male). The new novel prognostic score named GLVC (G, global longitudinal peak strain (GLPS); L, left ventricular diastolic diameter (LVDD); V, oxygen pulse (VO2/HR); and C, high sensitivity C-reactive protein (hs-CRP)) was created. The Kaplan-Meier method and log-rank test were used to compare the CE. RESULTS: Results from final analyses showed that low GLPS (< 13.9%, OR = 2.66, 95% CI = 1.01-4.30, p = 0.002), high LVDD (> 56 mm, OR = 2.37, 95% CI = 1.01-5.55, p = 0.045), low oxygen pulse (< 10, OR = 2.8, 95% CI = 1.17-6.70, p = 0.019), and high hs-CRP (> 2.38 µg/ml, OR = 2.93, 95% CI = 1.31-6.54, p = 0.007) were independent prognostic factors for adverse CE in HF population. All the patients were stratified into a low-risk or high-risk group according to a novel "GLVC" scoring system. The Kaplan-Meier analyses demonstrated that patients in the high-risk group were more predisposed to having higher adverse clinical events compared to patients in the low-risk group. CONCLUSIONS: A novel and comprehensive personalized "GLVC" scoring system is an easily available and effective tool for predicting the adverse outcomes in HF.

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Cardiovascular diseases are common for men and women but there are differences between the sexes in terms of clinical symptoms, pathophysiology and response to the treatment. Cardiovascular diseases (CVD) in women is commonly underdiagnosed and often women tend to have a lower perception of the risk. That can lead to delayed diagnosis and failed recognition of symptoms. Women develop heart diseases later than men because of the protection in the reproductive phase of their life. Once they enter menopause the risk increases. Estrogen provides a protective effect against heart disease in women. Therefore, the risk of CVD increases after menopause in most cases. The presented work emphasizes the importance of the menopausal period as the time of increasing CVD risk. It also emphasizes the importance of monitoring the health of women in their middle age, a critical time in which early intervention strategies should be implemented to reduce the risk of CVD.

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Exercise intolerance de novo is one of the most common reported symptoms in patients recovering from the Coronavirus Disease 2019 (COVID-19). The present study determines etiological and pathophysiological factors influencing the mechanism of impaired exercise tolerance in patients during Long-COVID. Consequently, the factors affecting the percentage predicted oxygen uptake at peak exercise (%VO2pred) in patients after COVID-19 with a normal left ventricular ejection fraction (LVEF) were assessment. A total of 120 patients recovering from COVID-19 at three to six months after confirmed diagnosis were included. The clinical examinations, laboratory test results, echocardiography, non-invasive body mass analysis, and spiroergometry were evaluated. The subjects were divided into the following groups: study patients' group with worsen oxygen uptake (%VO2pred < 80%; n = 47) and control group presenting%VO2pred ≥ 80% (n = 73). ClinicalTrials.gov Identifier: NCT04828629. The male gender and the percent of total body water content (TBW%) were significantly higher in the study group compared to the control group (53 vs. 29%, p = 0.007 and 52.67 (±6.41) vs. 49.89 (±4.59), p = 0.02; respectively). Patients with %VO2pred < 80% presented significantly lower global peak systolic strain (GLPS), tricuspid annular plane systolic excursion (TAPSE), and late diastolic filling (A) velocity (19.34 (±1.72)% vs. 20.10 (±1.35)%, p = 0.03; 21.86 (±4.53) vs. 24.08 (±3.20) mm, p = 0.002 and median 59.5 (IQR: 50.0−71.0) vs. 70.5 (IQR: 62.0−80.0) cm/s, p = 0.004; respectively) compared to the controls. The results of the multiple logistic regression model show that (A) velocity (OR 0.40, 95%CI: 0.17−0.95; p = 0.03) and male gender (OR 2.52, 95%CI: 1.07−5.91; p = 0.03) were independently associated with %VO2pred. Conclusions: Men have over twice the risk of persistent limited exercise tolerance in Long-COVID than women. The decreased (A) velocity, TAPSE, GLPS, and hydration status are connected with limited exercise tolerance after COVID-19 in patients with normal LVEF.