The concept of heart failure (HF) has undergone significant transformation from ancient times to the present, evolving from rudimentary understandings to a complex clinical syndrome. Early descriptions by Egyptian, Greek and Roman physicians laid the groundwork for understanding cardiac dysfunction. The Renaissance period brought crucial insights with Harvey’s discovery of blood circulation. In the 20th century, the Framingham Heart Study provided a pivotal shift, formally defining HF as a clinical syndrome with diagnostic criteria. Over the decades, definitions of HF have evolved, integrating advancements in pathophysiology, biomarkers and imaging techniques. Initially focused on symptomatic and clinical presentations, modern definitions emphasise underlying structural and functional cardiac abnormalities. This evolution reflects the growing complexity and precision of diagnosing and managing HF. A historical perspective underscores the progressive refinement in HF definitions, which enhances diagnostic precision and therapeutic strategies, ultimately improving patient outcomes. Understanding this evolution is crucial for appreciating contemporary HF management and anticipating future advances.

A total of 300 research participants—200 consecutive patients diagnosed with dyslipidemia (100 statin (+), treated for at least five years, and 100 statin (−)) and 100 healthy controls—were included in this observational study. The aim of the study was to deliver insights into the relationship between the long-term use of statins for dyslipidemia and gallstone disease (GSD), as well as insights into the background particularities of the gut microbiota. All study participants underwent clinical examination, laboratory workups, stool microbiology/stool 16S r RNA, next-generation sequencing, and abdominal ultrasound/CT exams. Results: The research participants presented with similarities related to age, gender, and location. Patients displayed comparable heredity for GSs, metabolic issues, and related co-morbidities. Gut dysbiosis (DB) was present in 54% of the statin (−) patients vs. 35% of the statin (+) patients (p = 0.0070). GSs were present in 14% of patients in the statin (−) group vs. 5% of patients in the statin (+) group (p = 0.0304). Severe dysbiosis, with a significant reduction in biodiversity, an increase in LPS (+) bacteria, and a notable decrease in mucin-degrading bacteria, mucosa-protective bacteria, and butyrate-producing bacteria were observed in the statin (−) group. Strong positive correlations between GSD and diabetes/impaired glucose tolerance (r = 0.3368, p = 0.0006), obesity (r = 0.3923, p < 0.0001), nonalcoholic fatty liver disease (r = 0.3219, p = 0.0011), and DB (r = 0.7343, p < 0.0001), as well as significant negative correlations between GSD and alcohol use (r = −0.2305, p = 0.0211), were observed. The multiple regression equation demonstrated that only DB (95% CI: 0.3163 to 0.5670; p < 0.0001) and obesity (95% CI: 0.01431 to 0.2578; p = 0.0289) were independent risk factors predicting GSD in the group of patients treated with statins. Conclusion: The long-term use of statins in dyslipidemic patients was associated with a low risk of developing GSs. The gut microbiota associated with a long-term use of statins in dyslipidemic patients was characterized by a low risk of developing an imbalance of various functional bacteria and alterations in the metabolic microbiota. DB and obesity were found to be independent risk factors predicting GSD in statin (+) patients.

Background and Objectives: Pulmonary embolism (PE) is a frequent thrombotic complication associated with SARS-CoV-2 infection and is linked to significant early mortality. Accurate early risk stratification in the emergency department (ED) remains challenging, and it is unclear how well commonly used PE prognostic tools perform in patients with concomitant COVID-19. Materials and Methods: We conducted a retrospective, single-centre study including 538 consecutive patients with acute PE and with or without confirmed SARS-CoV-2 infection admitted through the ED. Univariate analysis and machine learning models were employed to assess mortality risk. Results: In univariate analysis, mortality was strongly associated with sepsis (OR 11.68) and PESI class V (OR 5.56) and was also linked to higher neutrophil count (OR 1.19), platelet count (OR 1.12), and NT-proBNP (OR 1.20). In the non-COVID cohort, XGBoost and RF showed better discrimination than PESI class (AUC 0.864 and 0.834 vs. 0.725), while Support Vector Machines (SVM) was lower (AUC 0.740). On COVID-19 external validation, discrimination decreased: XGBoost AUC was 0.635, RF 0.614, PESI 0.584, and SVM showed no discrimination. Conclusions: ML models using routinely available ED variables improved in-hospital mortality prediction compared with PESI in non-COVID PE, but performance declined in COVID-19 patients, suggesting limited generalizability and the need for COVID-specific refinement and prospective multicenter validation.

Background and Aims: Severe acute respiratory distress syndrome (ARDS) in patients with long COVID remains associated with extremely high mortality and significant long-term sequelae. Non-invasive ventilatory strategies such as continuous positive airway pressure (CPAP) and high-flow nasal cannula (HFNC) are widely used before endotracheal intubation (ETI). Still, their comparative effectiveness in this population is not well established. Understanding survival outcomes and sequelae can help refine treatment strategies for this high-risk group. This study aimed to evaluate outcomes, sequelae, and treatment strategies in long COVID patients with severe ARDS, focusing on non-invasive ventilatory support before ETI. Materials and Methods: A retrospective cohort analysis was performed using a study comparing severe ARDS patients with and without COVID-19. The inclusion criterion was a Horovitz quotient (PaO₂/FiO₂) < 50 mmHg. Results: The study included a total of 59 patients diagnosed with long COVID-19 ARDS, with a mortality rate of 85%. A significant proportion of the patient population was male, accounting for 75%. The highest survival rate was observed among patients who initially received CPAP support, with a survival rate of 23.08%, in contrast to those treated solely with HFNC or those who alternated between HFNC and CPAP. Among patients who required endotracheal intubation and subsequent mechanical ventilation, survival rates were 40% for those who had previously received CPAP, 10% for those treated with alternating HFNC and CPAP, and 0% for those managed exclusively with HFNC before ETI. Survivors often exhibited sequelae, such as impaired pulmonary function, persistent dyspnea, and diminished physical performance. Conclusions: Patients with long COVID who develop severe ARDS (PaO₂/FiO₂ < 50 mmHg) face exceptionally high ICU mortality, with outcomes determined mainly by age, comorbidities, and profound hypoxemia. Although CPAP showed a trend toward improved survival, the data do not establish superiority and should be regarded as hypothesis-generating. Rather, they highlight the complexity of managing this underrepresented subgroup and underscore the need for larger, multicenter studies with broader inclusion criteria to confirm or refute these preliminary observations.

Chronic heart failure (CHF) carries high morbidity and mortality. Circulating biomarkers of myocardial stretch, injury, and remodelling aids diagnosis and prognosis, but utility varies, especially in HFpEF, where natriuretic peptide (NP) values may be lower or normal in obesity. We systematically searched PubMed, Scopus, and Web of Science (2010–2025) for primary adult chronic-HF studies evaluating blood-based biomarkers: NPs, high-sensitivity troponins (hs-cTn), galectin-3, soluble ST2 (sST2), and microRNAs. Secondary sources (reviews/meta-analyses/guidelines) informed context only. Acute-HF studies were not pooled with chronic-HF analyses. Where appropriate, log hazard ratios were meta-analysed with random effects models. Twenty-nine studies met criteria. NT-proBNP remained the diagnostic/prognostic reference; across five prognostic cohorts, the pooled HR was 1.68 (95% CI 1.54–1.82; I² ≈ 55%). hs-cTn consistently improved risk stratification. Galectin-3 and sST2 were associated with adverse outcomes but typically provided modest incremental value beyond NPs/hs-cTn; galectin-3 is influenced by renal function, and sST2 is commonly interpreted around ~28–35 ng/mL. MicroRNAs (e.g., miR-21, miR-210-3p, miR-22-3p) showed promising yet heterogeneous signals across platforms and preanalytical workflows; therefore, findings were synthesised narratively without pooling. NT-proBNP and hs-cTn form the evidence-based backbone for biomarker-guided assessment in chronic HF. Galectin-3 and sST2 add adjunct prognostic information, while microRNAs remain investigational, pending standardised methods and external validation. Overall, evidence supports a multimarker, phenotype-tailored approach, with core NPs + hs-cTn and selective adjunct use of sST2/galectin-3 in context (HFrEF vs. HFpEF, obesity, renal function) to refine risk stratification and guide clinical decision-making.

Background and objective: Iliopsoas abscess (IPA) is a rare condition with varied symptomology and etiology. Less than one-third of patients with IPA present on the emergency department (ED) admission with the traditional triad of fever, back pain, and restricted hip motion (or limp), leading to delays in diagnosis and management. This case report aims to bring awareness among healthcare professionals regarding the atypical presentation and introduce a potential differential diagnosis when evaluating patients with fever and back pain. The intention is to provide insights into the signs and symptoms that may indicate the presence of an iliopsoas abscess and prompt additional investigations. Case report: Here, we describe a case of primary iliopsoas abscess associated with drug-induced acute liver failure in our ED. The patient complained of pain in the left lumbar region and fatigue that started two weeks before this presentation, claiming that, during the previous night, the pain suddenly worsened. She had a fever, pain at palpation in the right hypochondriac and left lumbar regions, accompanied by fever and vomiting, jaundiced skin, and sclera at the examination in ED. On abdominal ultrasonography, the diagnosis of acute cholangitis was suspected. The laboratory test shows leukocytosis with neutrophilia, thrombocytosis, hepatocytolysis syndrome, and hyperbilirubinemia with the predominance of indirect bilirubin. We performed then abdominal and pelvic computed tomography, which confirmed the diagnosis of cholelithiasis observed with the diameter of the bile duct within normal limits but also showed an abscess-like collection fused to the interfibrillar level of the left iliopsoas muscle; a diagnosis we most likely would have been missed. After that, the patient was hospitalized in the General Surgery Department, and surgery drainage of the abscess was performed. The patient's evolution was excellent; she was discharged after 11 days. Conclusions: The case presented here exemplifies how iliopsoas abscess, a rare cause of back pain, can quickly go unrecognized, especially in the emergency department. Our experiences will raise awareness among doctors in emergency departments about this uncommon but essential diagnosis. With advancements in diagnostic tools and techniques, we aspire that more cases of iliopsoas abscess will be accurately diagnosed.