Paraschiv, Cătălina

Introduction: Sepsis-induced cardiac dysfunction (SICD) is a reversible type of cardiac disorder, with variable reported incidence and uncertain prognostic implications that may occur in patients with sepsis. This study aimed to identify patients with SICD, characterise their clinical and paraclinical features, analyse the different patterns of cardiac dysfunction, and determine prognostic implications. Methods: Patients admitted to the intensive care unit (ICU) for sepsis or septic shock who underwent echocardiography on admission were identified retrospectively. Exclusion criteria included acute myocardial infarction, preexisting severe left heart valve disease or systolic dysfunction. Clinical, paraclinical, and echocardiography data were documented. The primary outcome was a composite of in-hospital mortality, prolonged hospital stay, and prolonged ICU stay. Results: A total of 128 septic patients were included, with a median age of 72.5 years and a 55% male proportion. Alcohol abuse, vasopressor therapy and orotracheal intubation on admission were risk factors for developing SICD. More than a third developed SICD (37%). We identified four different types of cardiac dysfunction based on echocardiography. An NT-proBNP level of over 9000 pg/mL was a predictor of SICD, composite outcome and mortality. A total of 56 patients (44%) experienced in-hospital mortality. Even though the occurrence of SICD did not predict mortality, it was a significant predictor of the composite outcome. Conclusions: This study describes the incidence and spectrum of SICD in a group of septic patients admitted to a tertiary care hospital. The occurrence of any type of cardiac dysfunction associated with sepsis and high NT-proBNP levels had strong prognostic implications.

Introduction: Sepsis-induced cardiac dysfunction (SICD) is a transient cardiac disfunction, with variable described prevalence and uncertain prognostic. This study aimed to characterize the laboratory and microbiological findings in critically ill patients with sepsis who developed left ventricular (LV) or biventricular systolic dysfunction. Methods: Patients who required intensive care unit hospitalization for sepsis were screened retrospectively. Only patients with positive cultures and echocardiography performed within 24 h from admission were included. The exclusion criteria were infective endocarditis, acute coronary syndrome, history of cardiomyopathy, severe valve disease, end-stage organ or oncological disease. Cardiac function was appreciated on transthoracic echocardiography, using LV ejection fraction for the left ventricle and tricuspid annular plane systolic excursion (TAPSE) for the right ventricle. SICD was confirmed if the systolic dysfunction found upon admission was reversible within 7–10 days. Results: A total of 100 patients with positive cultures were included. The median age was 73 and 55% were male. SICD was diagnosed in 14% of patients. Patients with SICD were more likely to develop septic shock and had longer hospital and intensive care unit stay. In-hospital mortality was 44% with no significant difference between SICD and non-SICD patients. Laboratory markers upon hospital admission showed that SICD patients had significantly higher values of lactate and transaminases. Cardiac (troponin and NT-proBNP) and inflammation markers (leukocytes, neutrophils, NLR, C-reactive protein, procalcitonin) had higher values in patients with SICD but the difference did not reach statistical significance. Streptococcal infections and polymicrobial cultures were risk factors for developing SICD. Higher rates of infections with Enterobacterales were seen in the SICD group but the difference was not significant. Conclusions: SICD patients had higher lactate, inflammation, and cardiac biomarkers levels upon admission and significantly higher rates of streptococcal infections and polymicrobial cultures.

INTRODUCTION: Cardiovascular disease is a leading cause of maternal mortality. Our aim was to evaluate the feasibility and quality of artificial intelligence (AI)-guided focused cardiac ultrasound (FoCUS) by novice scanners to screen for left ventricular (LV) systolic dysfunction in pregnant individuals. METHODS: Patients were prospectively enrolled during routine obstetric appointments. FoCUS images were acquired by individuals without scanning or clinical experience using AI-guided image acquisition software (UltraSight) on a Philips Lumify device. Standard two-dimensional imaging views were attempted: parasternal long axis (PSLA), parasternal short axis mid-level (PSSA Mid), apical four chamber (A4C), three chamber (A3C), and two chamber (A2C). Two experienced cardiologists reviewed all images and graded diagnostic quality: poor, adequate, good, excellent. RESULTS: A total of 101 pregnant participants were enrolled; median age was 32 (interquartile range [IQR], 29, 35) years. The median gestational age was 23 (IQR, 16, 31) weeks; 16% first trimester, 45% second, and 39% third. The most feasible views were the PSLA and PSSA Mid, 98% and 97% with adequate or greater image quality, respectively. A3C and A2C were least feasible, acquired in 34% and 40% with adequate or greater image quality in 28% and 35%, respectively. Average scan time was 6 minutes, 46 seconds ± 0.2. The LV ejection fraction could be determined for the entire cohort and was normal (50–75%) for all. CONCLUSIONS/IMPLICATIONS: Implementation of AI-guided FoCUS in pregnant individuals is feasible, even in the absence of an experienced sonographer. This approach could allow for low-cost screening and early diagnosis of LV systolic dysfunction during pregnancy.