In patients complaining common symptoms such as chest/abdominal/back pain or syncope, acute aortic syndromes (AAS) are rare underlying causes. AAS diagnosis requires urgent advanced aortic imaging (AAI), mostly computed tomography angiography. However, patient selection for AAI poses conflicting risks of misdiagnosis and overtesting. We assessed the safety and efficiency of a diagnostic protocol integrating clinical data with point-of-care ultrasound (POCUS) and d-dimer (single/age-adjusted cutoff), to select patients for AAI. This prospective study involved 12 Emergency Departments from 5 countries. POCUS findings were integrated with a guideline-compliant clinical score, to define the integrated pre-test probability (iPTP) of AAS. If iPTP was high, urgent AAI was requested. If iPTP was low and d-dimer was negative, AAS was ruled out. Patients were followed for 30 days, to adjudicate outcomes. Within 1979 enrolled patients, 176 (9 %) had an AAS. POCUS led to net reclassification improvement of 20 % (24 %/-4 % for events/non-events, P < 0.001) over clinical score alone. Median time to AAS diagnosis was 60 min if POCUS was positive vs 118 if negative (P = 0.042). Within 941 patients satisfying rule-out criteria, the 30-day incidence of AAS was 0 % (95 % CI, 0-0.41 %); without POCUS, 2 AAS were potentially missed. Protocol rule-out efficiency was 48 % (95 % CI, 46-50 %) and AAI was averted in 41 % of patients. Using age-adjusted d-dimer, rule-out efficiency was 54 % (difference 6 %, 95 % CI, 4-9 %, vs standard cutoff). The integrated algorithm allowed rapid triage of high-probability patients, while providing safe and efficient rule-out of AAS. Age-adjusted d-dimer maximized efficiency. Clinicaltrials.gov, NCT04430400.

Since the end of 2019, an outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originating in the Chinese city of Wuhan has spread rapidly worldwide causing thousands of deaths. Coronavirus disease (COVID-19) is supported by SARS-CoV-2 and represents the causative agent of a potentially fatal disease that is of great global public health concern. Italy has been the first European country recording an elevated number of infected forcing the Italian Government to call for total lockdown. The lockdown had the aim to limit the spread of infection through social distancing. The purpose of this study is to analyze how the pandemic has affected the patient’s accesses to the Ophthalmological Emergency Department of a tertiary referral center in central-northern Italy, during the lockdown period. The charts of all patients that came to the Emergency Department during the lockdown period (March 10 –May 4, 2020) have been retrospectively collected and compared with those in the same period of 2019 and the period from 15 January– 9 March 2020. A significant reduction of visits during the lockdown has been observed, compared with those of pre-lockdown period (reduction of 65.4%) and with those of the same period of 2019 (reduction of 74.3%). Particularly, during the lockdown, minor and not urgency visits decreased whereas the undeferrable urgency ones increased. These pieces of evidence could be explained by the fear of patients to be infected; but also revealed patients misuse of emergency services.

Background: Sepsis-induced coagulopathy (SIC) and hypoalbuminemia represent distinct yet interrelated manifestations of endothelial dysfunction in sepsis. While both have been individually associated with increased mortality, their combined prognostic value remains unexplored. This study aimed to assess the relationship between the SIC score and serum albumin levels and to evaluate their integrated role in predicting mortality and bleeding risks in septic patients. Methods: We conducted a prospective observational study enrolling adult patients with community-acquired sepsis admitted to an Intermediate Medical Care Unit between January 2023 and June 2024. The primary outcome was 30-day all-cause mortality. The secondary outcome was the occurrence of ISTH-defined major bleeding. Multivariable logistic regression and Net Reclassification Improvement (NRI) analyses were performed to evaluate the predictive value of albumin when added to the SIC score. Results: A total of 413 patients were enrolled; 18.4% had a positive SIC score. The serum albumin and SIC score were inversely correlated (r = −0.189, p < 0.001). Both variables were independently associated with 30-day mortality and major bleeding. The addition of albumin significantly improved the predictive performance of the SIC score (NRI = 0.276 for mortality; NRI = 0.268 for bleeding; both p = 0.003). The cluster analysis identified distinct phenotypes based on albumin and SIC profiles, with differing clinical trajectories and transfusion needs. Conclusions: The combined assessment of the SIC score and serum albumin enhances early risk stratification in sepsis. This dual-parameter approach may support more accurate prognostication and individualized management in septic patients.