Filippo Pieralli

Background/Objectives: Intermediate Care Units (IMCUs) provide a level of care between general wards and Intensive Care Units (ICUs). While widely implemented across Europe, their use in the Italian internal medicine remains limited. To review the clinical effectiveness, organizational benefits, and policy relevance of IMCUs in Europe and assess opportunities and barriers to their implementation in the Italian hospital system. Methods: A narrative review of international and Italian literature from the origin of intermediate care models in 2025, with emphasis on patient outcomes, ICU utilization, cost-effectiveness, and governance models for IMCUs. Results: European studies consistently show that IMCUs improve patient flow, reduce ICU burden, and may reduce mortality among selected high-acuity patients. In Italy, respiratory and cardiac IMCUs have demonstrated similar benefits. However, general internal medicine IMCUs remain underdeveloped. The COVID-19 pandemic exposed structural gaps in the capacity for intermediate care. Recent legislative efforts (e.g., Decree-Law 34/2020) have aimed to expand sub-intensive care, but implementation is still heterogeneous. Conclusions: IMCUs are a cost-effective and clinically valuable strategy for managing non-ICU high-acuity patients. Structured integration of IMCUs into internal medicine in Italy could improve care quality and system efficiency. Clear triage protocols, adequate staffing, and strong organizational leadership are essential for success.

Background: COVID-19 is a pandemic disease affecting predominantly the respiratory apparatus with clinical manifestations ranging from asymptomatic to respiratory failure. Chest CT is a crucial tool in diagnosing and evaluating the severity of pulmonary involvement through dedicated scoring systems. Nonetheless, many questions regarding the relationship of radiologic and clinical features of the disease have emerged in multidisciplinary meetings. The aim of this retrospective study was to explore such relationship throughout an innovative and alternative approach.Materials and methods: This study included 550 patients (range 25–98 years; 354 males, mean age 66.1; 196 females, mean age 70.9) hospitalized for COVID-19 with available radiological and clinical data between 1 March 2021 and 30 April 2022. Radiological data included CO-RADS, chest CT score, dominant pattern, and typical/atypical findings detected on CT examinations. Clinical data included clinical score and outcome. The relationship between such features was investigated through the development of the main four frequently asked questions summarizing the many issues arisen in multidisciplinary meetings, as follows 1) CO-RADS, chest CT score, clinical score, and outcomes; 2) the involvement of a specific lung lobe and outcomes; 3) dominant pattern/distribution and severity score for the same chest CT score; 4) additional factors and outcomes.Results: 1) If CT was suggestive for COVID, a strong correlation between CT/clinical score and prognosis was found; 2) Middle lobe CT involvement was an unfavorable prognostic criterion; 3) If CT score < 50%, the pattern was not influential, whereas if CT score > 50%, crazy paving as dominant pattern leaded to a 15% increased death rate, stacked up against other patterns, thus almost doubling it; 4) Additional factors usually did not matter, but lymph-nodes and pleural effusion worsened prognosis.Conclusions: This study outlined those radiological features of COVID-19 most relevant towards disease severity and outcome with an innovative approach.

Background: Remdesivir is widely used for treatment of SARS-CoV-2 pneumonia. The aim of this study was to evaluate the characteristics of patients with moderate-to-severe COVID-19 treated with remdesivir, and their outcomes during hospitalization. Methods: This retrospective observational multicenter study included consecutive patients, hospitalized for moderate-to-severe COVID-19 (September 2020—September 2021), who were treated with remdesivir. Results: One thousand four patients were enrolled, all with onset of symptoms occurring less than 10 days before starting remdesivir; 17% of patients had 4 or more concomitant diseases. Remdesivir was well tolerated, adverse drug reactions (ADRs) being reported in 2.3% of patients. In-hospital death occurred in 80 patients (8.0%). The median timing of the first remdesivir dose was 5 days after symptom onset. The following endpoints did not differ according to the time span from the onset of symptoms to the first dose: length of hospitalization, in-hospital death, composite outcome (in-hospital death and/or endotracheal intubation). Advanced age, number of comorbidities ≥ 4, and severity of respiratory failure at admission were associated with poor in-hospital outcomes. Conclusion: In a real-world setting, remdesivir proved to be a safe and well-tolerated treatment for moderate-to-severe COVID-19. In patients receiving remdesivir less than 3 or 5 days from the onset of SARS-CoV-2 symptoms, mortality and the need for mechanical ventilation did not differ from the rest of the sample.

The aim of this study was to evaluate the incidence of deep vein thrombosis (DVT) of the lower limbs in patients hospitalized with COVID-19 pneumonia in a non-ICU setting according to the different waves of the SARS-CoV-2 pandemic. Multicenter, prospective study of patients with COVID-19 pneumonia admitted to Internal Medicine units in Italy during the first (March-May 2020) and subsequent waves (November 2020 –April 2021) of the pandemic using a serial compression ultrasound (CUS) surveillance to detect DVT of the lower limbs. Three-hundred-sixty-three consecutive patients were enrolled. The pooled incidence of DVT was 8%: 13.5% in the first wave, and 4.2% in the subsequent waves (p = 0.002). The proportion of patients with early (< 4 days) detection of DVT was higher in patients during the first wave with respect to those of subsequent waves (8.1% vs 1.9%; p = 0.004). Patients enrolled in different waves had similar clinical characteristics, and thrombotic risk profile. Less patients during the first wave received intermediate/high dose anticoagulation with respect to those of the subsequent waves (40.5% vs 54.5%; p = 0.005); there was a significant difference in anticoagulant regimen and initiation of thromboprophylaxis at home (8.1% vs 25.1%; pfirst with respect to the subsequent waves of the pandemic. A significant increase in thromboprophylaxis initiation prior to hospitalization, and the increase of the intensity of anticoagulation during hospitalization, likely, played a relevant role to explain this observation.

DOI: 10.20452/pamw.16112, Published online: October 08, 2021, Authors: Filippo Pieralli, Anna Maria Azzini, Ercole Concia, Giuliana Lo Cascio, Andrea Tedesco, Valentina Benedetti, Sabrina Piredda, Massimo Giusti, Claudio Santini, Elisa Zagarrì, Andrea Fontanella, Dario Manfellotto

Objective: The aim of this study was to assess the incidence of deep vein thrombosis (DVT) of the lower limbs, using serial compression ultrasound (CUS) surveillance, in acutely ill patients with COVID-19 pneumonia admitted to a non-ICU setting. Methods: Multicenter, prospective study of patients with COVID-19 pneumonia admitted to Internal Medicine units. All patients were screened for DVT of the lower limbs with serial CUS. Anticoagulation was defined as: low dose (enoxaparin 20–40 mg/day or fondaparinux 1.5–2.5 mg/day); intermediate dose (enoxaparin 60–80 mg/day); high dose (enoxaparin 120–160 mg or fondaparinux 5–10 mg/day or oral anticoagulation). The primary end-point of the study was the diagnosis of DVT by CUS. Results: Over a two-month period, 227 consecutive patients with moderate-severe COVID-19 pneumonia were enrolled. The incidence of DVT was 13.7% (6.2% proximal, 7.5% distal), mostly asymptomatic. All patients received anticoagulation (enoxaparin 95.6%) at the following doses: low 57.3%, intermediate 22.9%, high 19.8%. Patients with and without DVT had similar characteristics, and no difference in anticoagulant regimen was observed. DVT patients were older (mean 77±9.6 vs 71±13.1 years; p = 0.042) and had higher peak D-dimer levels (5403 vs 1723 ng/mL; p = 0.004). At ROC analysis peak D-dimer level >2000 ng/mL (AUC 0.703; 95% CI 0.572–0.834; p = 0.004) was the most accurate cut-off value able to predict DVT (RR 3.74; 95%CI 1.27–10, p = 0.016). Conclusions: The incidence of DVT in acutely ill patients with COVID-19 pneumonia is relevant. A surveillance protocol by serial CUS of the lower limbs is useful to timely identify DVT that would go otherwise largely undetected.

Purpose Candidemia is a highly lethal infection; several scores have been developed to assist the diagnosis process and recently different models have been proposed. Aim of this work was to assess predictive performance of a Random Forest (RF) algorithm for early detection of candidemia in the internal medical wards (IMWs). Methods A set of 42 potential predictors was acquired in a sample of 295 patients (male: 142, age: 72 ± 15 years; candidemia: 157/295; bacteremia: 138/295). Using tenfold cross-validation, a RF algorithm was compared with a classic stepwise multivariable logistic regression model; discriminative performance was assessed by C-statistics, sensitivity and specificity, while calibration was evaluated by Hosmer–Lemeshow test. Results The best tuned RF algorithm demonstrated excellent discrimination (C-statistics = 0.874 ± 0.003, sensitivity = 84.24% ± 0.67%, specificity = 91% ± 2.63%) and calibration (Hosmer–Lemeshow statistics = 12.779 ± 1.369, p = 0.120), markedly greater than the ones guaranteed by the classic stepwise logistic regression (C-statistics = 0.829 ± 0.011, sensitivity = 80.21% ± 1.67%, specificity = 84.81% ± 2.68%; Hosmer–Lemeshow statistics = 38.182 ± 15.983, p < 0.001). In addition, RF suggests a major role of in-hospital antibiotic treatment with microbioma highly impacting antimicrobials (MHIA) that are found as a fundamental risk of candidemia, further enhanced by TPN. When in-hospital MHIA therapy is not performed, PICC is the dominant risk factor for candidemia, again enhanced by TPN. When PICC is not used and MHIA therapy is not performed, the risk of candidemia is minimum, slightly increased by in-hospital antibiotic therapy. Conclusion RF accurately estimates the risk of candidemia in patients admitted to IMWs. Machine learning technique might help to identify patients at high risk of candidemia, reduce the delay in empirical treatment and improve appropriateness in antifungal prescription.

A 33-year-old man with type 1 diabetes mellitus was admitted to the Internal Medicine Unit due to subacute onset of exertional dyspnea, with evidence at initial blood exams of severe macrocytic anemia with thrombocytopenia, biohumoral signs of hemolysis and 5 schistocytes per magnified field on the blood smear. A thrombotic microangiopathy (TMA) was suspected and plasma exchange (PEX) was started soon, since the risk of a life threatening condition. On the second day, after the results of A Disintegrin And Metalloproteinase with ThromboSpondin-1 motif, member 13 (ADAMTS-13) and reticulocytes were available, a critical reappraisal of the clinical scenario was done. B12 vitamin deficiency was evident after completing the diagnostic work-up. Finally, a diagnosis of “pseudo TMA vitamin B12 deficiency-related” was done. This is an intriguing and rare manifestation of cobalamin deficiency, given the very uncommon occurrence of schistocytes in this condition. “Pseudo TMA vitamin B12 deficiency-related” should be kept in mind when facing the differential diagnosis of microangiopathic anemia in the presence of a low proliferative index.