'The Year of Living Dangerously': Successful Rhodococcus Equi Therapy in an Immunosuppressed Patient with Minimal Toxicity by One Year of Continuous Intravenous Vancomycin Therapy Combined with Oral Levofloxacin And Rifampicin.

Background: Rhodococcus equi is a Gram-positive microorganism that causes infections, particularly in immunocompromised patients. Treatment duration can be prolonged. While vancomycin is an effective drug in this scenario, its use may lead to renal damage. Studies have shown that continuous vancomycin infusion appears to be a safe strategy in terms of adverse effects compared to bolus administration. Case description: We present the case of a 71-year-old female liver transplant recipient. After being diagnosed with a mediastinal infection caused by Rhodococcus equi with poor response to initial therapy, she required 12 months of continuous intravenous domiciliary infusion of vancomycin combined with oral levofloxacin and rifampicin. There was no drug-related complication throughout the follow-up. Conclusions: The use of continuous vancomycin infusion has emerged as a safer, more efficient, and cost-effective alternative to intermittent administration. We want to emphasise the uniqueness of this case, where despite the unprecedented treatment duration, no adverse effects occurred. LEARNING POINTS: Vancomycin therapy based on continuous infusion represents a safer and cheaper strategy than classic intermittent administration.The use of continuous infusion facilitates the management of complex infections with outpatient antimicrobial therapy.

Development and validation of a clinical score to estimate progression to severe or critical state in COVID-19 pneumonia hospitalized patients.

The prognosis of a patient with COVID-19 pneumonia is uncertain. Our objective was to establish a predictive model of disease progression to facilitate early decision-making. A retrospective study was performed of patients admitted with COVID-19 pneumonia, classified as severe (admission to the intensive care unit, mechanic invasive ventilation, or death) or non-severe. A predictive model based on clinical, laboratory, and radiological parameters was built. The probability of progression to severe disease was estimated by logistic regression analysis. Calibration and discrimination (receiver operating characteristics curves and AUC) were assessed to determine model performance. During the study period 1152 patients presented with SARS-CoV-2 infection, of whom 229 (19.9%) were admitted for pneumonia. During hospitalization, 51 (22.3%) progressed to severe disease, of whom 26 required ICU care (11.4); 17 (7.4%) underwent invasive mechanical ventilation, and 32 (14%) died of any cause. Five predictors determined within 24 h of admission were identified: Diabetes, Age, Lymphocyte count, SaO2, and pH (DALSH score). The prediction model showed a good clinical performance, including discrimination (AUC 0.87 CI 0.81, 0.92) and calibration (Brier score = 0.11). In total, 0%, 12%, and 50% of patients with severity risk scores ≤ 5%, 6-25%, and > 25% exhibited disease progression, respectively. A risk score based on five factors predicts disease progression and facilitates early decision-making according to prognosis.