A Covid-19 outbreak developed in Lombardy, Veneto and Emilia-Romagna (Italy) at the end of February 2020. Fear of an imminent saturation of available ICU beds generated the notion that rationing of intensive care resources could have been necessary.In order to evaluate the impact of Covid-19 on the ICU capacity to manage critically ill patients, we performed a retrospective analysis of the first 2 weeks of the outbreak (February 24-March 8). Data were collected from regional registries and from a case report form sent to participating sites. ICU beds increased from 1545 to 1989 (28.7%), and patients receiving respiratory support outside the ICU increased from 4 (0.6%) to 260 (37.0%). Patients receiving respiratory support outside the ICU were significantly older [65 vs. 77 years], had more cerebrovascular (5.8 vs. 13.1%) and renal (5.3 vs. 10.0%) comorbidities and less obesity (31.4 vs. 15.5%) than patients admitted to the ICU. PaO2/FiO2 ratio, respiratory rate and arterial pH were higher [165 vs. 244; 20 vs. 24 breath/min; 7.40 vs. 7.46] and PaCO2 and base excess were lower [34 vs. 42 mmHg; 0.60 vs. 1.30] in patients receiving respiratory support outside the ICU than in patients admitted to the ICU, respectively.Increase in ICU beds and use of out-of-ICU respiratory support allowed effective management of the first 14 days of the Covid-19 outbreak, avoiding resource rationing.
Abstract Background. Intra-abdominal candidiasis (IAC) is burdened by high mortality rates. However, the correct management of a critically ill patient with suspected IAC is an issue still on debate. The aim of our study was to evaluate the safety of pulse high-dose of liposomal amphotericin B (L-AmB) in patients with suspected IAC managed with a Beta-D-Glucan (BDG)-guided strategy. Methods. Phase 2 prospective study enrolling adult patients with intra-abdominal sepsis following surgery. Patients received a single dose of L-AmB 5mg/kg on day 1. At day 3, L-AmB was discontinued in case of negativity of basal serum (1, 3)-Beta-D-Glucan (BDG) and was continued (3 mg/kg/daily) in case of positive basal BDG, or microbiologically confirmed IAC. The main endpoint was occurrence of adverse events according with common toxic criteria definition. Results. Overall, 40 patients were enrolled from January 2019 until August 2022. Of them 15 (37.5%) were male, median age was 65 (49–76) years. Urgent surgery accounted for 31 (77.5%) cases, principal indication was secondary/tertiary peritonitis (22, 55%), half of patients had a previous surgical operation within 30 days. Five (12.5%) patients had criteria for septic shock at enrolment. The median APACHE II score at ICU admission was 12 (10–15). In 33 (85%) cases IAC was excluded, whereas 5 (12.5%) and 2 (5%) patients had a probable and proven IAC, respectively. The single dose of L-AmB 5 mg/Kg was well tolerated in all patients, no early and late severe adverse events related to the drug were reported. L-AmB was discontinued in 65% of patients following a negative basal BDG result. All-cause 30-day mortality rate was 15%, in none case death was related to L-AmB administration or uncontrolled IAC. More specifically, mortality rates between patients with and without proven IAC was 0% vs. 15.8%, p = 0.99. Conclusions. The rate of proven IAC among critically ill high-risk patients was low, attesting at 5%. A single dose of L-AmB 5 mg/Kg following prompt withdrawal in case of basal negative BDG result seems to be a safe and effective approach in such population.
COVID-19 clinical course is highly variable and secondary infections contribute to COVID-19 complexity. Early detection of secondary infections is clinically relevant for patient outcome. Procalcitonin (PCT) and C-reactive protein (CRP) are the most used biomarkers of infections. Pentraxin 3 (PTX3) is an acute phase protein with promising performance as early biomarker in infections. In patients with COVID-19, PTX3 plasma concentrations at hospital admission are independent predictor of poor outcome. In this study, we assessed whether PTX3 contributes to early identification of co-infections during the course of COVID-19.
