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Backgrounds Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. Methods and findings We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation cohort: 1810 consecutive patients from Bergamo and Pavia units; validation cohort: 381 consecutive patients from Rome unit). The outcome was in-hospital mortality. Fine and Gray competing risks multivariate model (with discharge as a competing event) was used to develop a prediction rule for in-hospital mortality. Discrimination and calibration were assessed by the area under the receiver operating characteristic curve (AUC) and by Brier score in both the derivation and validation cohorts. Seven variables were independent risk factors for in-hospital mortality: age (Hazard Ratio [HR] 1.08, 95% Confidence Interval [CI] 1.07–1.09), male sex (HR 1.62, 95%CI 1.30–2.00), duration of symptoms before hospital admission https://sites.google.com/community.unipa.it/covid-19riskpredictions/c19-rp). Conclusions A validated simple clinical prediction rule can promptly and accurately assess the risk for in-hospital mortality, improving triage and the management of patients with COVID-19.

Plerixafor inhibits CXCR4, thus inducing the mobilization of hematopoietic stem/progenitor cells in lymphoma and multiple myeloma (MM) patients eligible for autologous stem cell transplantation (ASCT). However, the kinetics of plerixafor-induced mobilization of lymphocyte subsets is poorly known. Here, we evaluated the graft content, the engraftment, and the immunological reconstitution of MM patients receiving plerixafor. Thirty-seven patients undergoing one or tandem ASCT were enrolled. After mobilization with cyclophosphamide plus G-CSF, plerixafor was added at hematological recovery regardless of CD34(+) cell count. We evaluated the number of CD34(+), CD34(+)/CD38(-), CD3(+), CD4(+), CD8(+), CD19(+), CD56(+)/CD3(-), CD4(+)/CD25(+)/FOXP3(+), and CD138(+)/CD38(+) cells on each apheresis. Hematological and immunological recovery were determined at 30 days, 3, 6, 9, and 12 months after ASCT. Overall, 34/37 patients mobilized a median of 10.1 × 10(6) CD34(+) cells/Kg (IQ 7.7-13.4). Patients with

Correct definition of the level of risk of invasive fungal infections is the first step in improving the targeting of preventive strategies. We investigated the potential relationship between pre-hospitalization exposure to sources of fungi and the development of invasive fungal infections in adult patients with newly diagnosed acute myeloid leukemia after their first course of chemotherapy. From January 2010 to April 2012, all consecutive acute myeloid leukemia patients in 33 Italian centers were prospectively registered. Upon first admission, information about possible pre-chemotherapy risk factors and environmental exposure was collected. We recorded data regarding comorbid conditions, employment, hygienic habits, working and living environment, personal habits, hobbies, and pets. All invasive fungal infections occurring within 30 days after the first course of chemotherapy were recorded. Of the 1,192 patients enrolled in this study, 881 received intensive chemotherapy and were included in the present analysis. Of these, 214 developed an invasive fungal infection, including 77 proven/probable cases (8.7%). Of these 77 cases, 54 were proven/probable invasive mold infections (6.1%) and 23 were proven yeast infections (2.6%). Upon univariate analysis, a significant association was found between invasive mold infections and age, performance status, diabetes, chronic obstructive pulmonary disease, smoking, cocaine use, job, hobbies, and a recent house renovation. Higher body weight resulted in a reduced risk of invasive mold infections. Multivariate analysis confirmed the role of performance status, job, body weight, chronic obstructive pulmonary disease, and house renovation. In conclusion, several hospital-independent variables could potentially influence the onset of invasive mold infections in patients with acute myeloid leukemia. Investigation of these factors upon first admission may help to define a patient's risk category and improve targeted prophylactic strategies. (Clinicaltrial.gov: NCT01315925)