SARS-CoV-2 infection and vaccination in patients with hairy-cell leukaemia.

Little is known of the course of COVID-19 and the antibody response to infection or vaccination in patients with hairy-cell leukaemia (HCL). Among a total of 58 HCL cases we studied in these regards, 37 unvaccinated patients, mostly enjoying a relatively long period free from anti-leukaemic treatment, developed COVID-19 between March 2020 and December 2021 with a usually favourable outcome (fatality rate: 5/37, 14%); however, active leukaemia, older age and more comorbidities were associated with a worse course. Postinfection (n = 11 cases) and postvaccination (n = 28) seroconversion consistently developed, except after recent anti-CD20 or venetoclax therapy, correlating with perivaccine B-cell count. Vaccination appeared to protect from severe COVID-19 in 11 patients with breakthrough infection.

SARS-CoV-2 infection in patients with chronic lymphocytic leukemia: The Italian Hematology Alliance on COVID-19 cohort.

COVID-19, the disease caused by SARS-CoV-2, is still afflicting thousands of people across the globe. Few studies on COVID-19 in chronic lymphocytic leukemia (CLL) are available. Here, we analyzed data from the CLL cohort of the Italian Hematology Alliance on COVID-19 (NCT04352556), which included 256 CLL patients enrolled between 25 February 2020 and 1 February 2021. Median age was 70 years (range 38-94) with male preponderance (60.1%). Approximately half of patients (n = 127) had received at least one line of therapy for CLL, including 108 (83.7%) who were on active treatment at the time of COVID-19 or received their last therapy within 12 months. Most patients (230/256, 89.9%) were symptomatic at COVID-19 diagnosis and the majority required hospitalization (n = 176). Overall, after a median follow-up of 42 days (IQR 24-96), case fatality rate was 30.1%, and it was 37.5% and 24.4% in the first (25 February 2020-22 June 2020) and second wave (23 June 2020-1 February 2021), respectively (p = 0.03). At multivariate analysis, male sex (HR 1.82, 95% CI 1.03-3.24, p = 0.04), age over than 70 years (HR 2.23, 95% CI 1.23-4.05, p = 0.01), any treatment for CLL given in the last 12 months (HR 1.72, 95% CI 1.04-2.84, p = 0.04) and COVID-19 severity (severe: HR 5.66, 95% CI 2.62-12.33, p < 0.0001; critical: HR 15.99, 95% CI 6.93-36.90, p < 0.0001) were independently associated with poor survival. In summary, we report a dismal COVID-related outcome in a significant fraction of CLL patients, that can be nicely predicted by clinical parameters.

Breastfeeding and human milk bank in a neonatal intensive care unit: impact of the COVID-19 pandemic in an Italian cohort of very low birth weight infants.

BACKGROUND: Parental stress in neonatal intensive care units (NICU) is well known, as is the stress induced by the COVID-19 pandemic. This combination might increase stress to the extent of affecting the availability of maternal expressed milk and the success of establishing breastfeeding. This is particularly relevant in very preterm infants. METHODS: We conducted a single-centre retrospective analysis in two cohorts of very low birth weight infants born in a hospital in Italy. Babies born before the pandemic (September 2017 - December 2019) (n = 101) and during the pandemic (March 2020 - December 2021) (n = 67) were included in the analysis. We compared the rate of babies fed with maternal milk (both expressed and / or donated) at the achievement of full enteral feeding and the rate of those exclusively breastfed at discharge in the two groups. Then, we analysed the impact of donated human milk availability on infant formula use. We also compared mother's need for psychological support during NICU stay and the duration of psychological follow-up after discharge. RESULTS: In our NICU the availability of expressed maternal milk significantly decreased during the COVID-19 pandemic (86.1% before the pandemic vs 44.8% during the pandemic, p < 0.001) at the time of full enteral feeding achievement. Thanks to the availability of donated human milk, the rate of formula-fed babies remained almost unchanged (13.9% vs 14.9%). At discharge, the rate of breastfeeding was similar (73.3% vs 72.7%). The maternal need for psychological support was significantly higher during the pandemic (33% vs 64%, p < 0.001), as well as the duration of follow-up > 6 months (1% vs 15%, p < 0.001). No differences in the main clinical outcomes were found. CONCLUSION: Pandemic-induced stress had a significant impact on the availability of expressed maternal milk in NICU. However, the presence of human donated milk was fundamental in preventing increased use of infant formula during NICU stays. This underlines how strategies to implement the widespread establishment of donor milk banks on a national level are warranted. Further research is desirable to optimise the use of donated human milk banks during emergency situations.

Secondary infections worsen the outcome of COVID-19 in patients with hematological malignancies: A report from the ITA-HEMA-COV.

The impact of secondary infections (SI) on COVID-19 outcome in patients with hematological malignancies (HM) is scarcely documented. To evaluate incidence, clinical characteristics, and outcome of SI, we analyzed the microbiologically documented SI in a large multicenter cohort of adult HM patients with COVID-19. Among 1741 HM patients with COVID-19, 134 (7.7%) had 185 SI, with a 1-month cumulative incidence of 5%. Median time between COVID-19 diagnosis and SI was 16 days (IQR: 5-36). Acute myeloid leukemia (AML) and lymphoma/plasma cell neoplasms (PCN) were more frequent diagnoses in SI patients compared to patients without SI (AML: 14.9% vs. 7.1%; lymphoma/PCN 71.7% vs. 65.3%). Patients with SI were older (median age 70 vs. 66 years, p = 0.002), with more comorbidities (median Charlson Comorbidity Index 5 vs. 4, p < 0.001), higher frequency of critical COVID-19 (19.5% vs. 11.5%, p = 0.046), and more frequently not in complete remission (75% vs. 64.7% p = 0.024). Blood and bronchoalveolar lavage were the main sites of isolation for SI. Etiology of infections was bacterial in 80% (n = 148) of cases, mycotic in 9.7% (n = 18) and viral in 10.3% (n = 19); polymicrobial infections were observed in 24 patients (18%). Escherichia coli represented most of Gram-negative isolates (18.9%), while coagulase-negative Staphylococci were the most frequent among Gram-positive (14.2%). The 30-day mortality of patients with SI was higher when compared to patients without SI (69% vs. 15%, p < 0.001). The occurrence of SI worsened COVID-19 outcome in HM patients. Timely diagnosis and adequate management should be considered to improve their prognosis.

A prognostic model for patients with lymphoma and COVID-19: a multicentre cohort study.

Lymphoma represents a heterogeneous hematological malignancy (HM), which is characterized by severe immunosuppression. Patients diagnosed of coronavirus disease 2019 (COVID-19) during the course of HM have been described to have poor outcome, with only few reports specifically addressing lymphoma patients. Here, we investigated the clinical behavior and clinical parameters of a large multicenter cohort of adult patients with different lymphoma subtypes, with the aim of identifying predictors of death. The study included 856 patients, of whom 619 were enrolled prospectively in a 1-year frame and were followed-up for a median of 66 days (range 1-395). Patients were managed as outpatient (not-admitted cohort, n = 388) or required hospitalization (n = 468), and median age was 63 years (range 19-94). Overall, the 30- and 100-days mortality was 13% (95% confidence interval (CI), 11% to 15%) and 23% (95% CI, 20% to 27%), respectively. Antilymphoma treatment, including anti-CD20 containing regimens, did not impact survival. Patients with Hodgkin's lymphoma had the more favorable survival, but this was partly related to significantly younger age. The time interval between lymphoma diagnosis and COVID-19 was inversely related to mortality. Multivariable analysis recognized 4 easy-to-use factors (age, gender, lymphocyte, and platelet count) that were associated with risk of death, both in the admitted and in the not-admitted cohort (HR 3.79 and 8.85 for the intermediate- and high-risk group, respectively). Overall, our study shows that patients should not be deprived of the best available treatment of their underlying disease and indicates which patients are at higher risk of death. This study was registered with ClinicalTrials.gov, NCT04352556.

COVID-19 elicits an impaired antibody response against SARS-CoV-2 in patients with haematological malignancies.

COVID-19 is associated with high mortality in patients with haematological malignancies (HM) and rate of seroconversion is unknown. The ITA-HEMA-COV project (NCT04352556) investigated patterns of seroconversion for SARS-CoV-2 IgG in patients with HMs. A total of 237 patients, SARS-CoV-2 PCR-positive with at least one SARS-CoV-2 IgG test performed during their care, entered the analysis. Among these, 62 (26·2%) had myeloid, 121 (51·1%) lymphoid and 54 (22·8%) plasma cell neoplasms. Overall, 69% of patients (164 of 237) had detectable IgG SARS-CoV-2 serum antibodies. Serologically negative patients (31%, 73 of 237) were evenly distributed across patients with myeloid, lymphoid and plasma cell neoplasms. In the multivariable logistic regression, chemoimmunotherapy [odds ratio (OR), 3·42; 95% confidence interval (CI), 1·04-11·21; P = 0·04] was associated with a lower rate of seroconversion. This effect did not decline after 180 days from treatment withdrawal (OR, 0·35; 95% CI: 0·11-1·13; P = 0·08). This study demonstrates a low rate of seroconversion in HM patients and indicates that treatment-mediated immune dysfunction is the main driver. As a consequence, we expect a low rate of seroconversion after vaccination and thus we suggest testing the efficacy of seroconversion in HM patients.

Clinical risk scores for the early prediction of severe outcomes in patients hospitalized for COVID-19.

Coronavirus disease of 2019 (COVID-19) is associated with severe acute respiratory failure. Early identification of high-risk COVID-19 patients is crucial. We aimed to derive and validate a simple score for the prediction of severe outcomes. A retrospective cohort study of patients hospitalized for COVID-19 was carried out by the Italian Society of Internal Medicine. Epidemiological, clinical, laboratory, and treatment variables were collected at hospital admission at five hospitals. Three algorithm selection models were used to construct a predictive risk score: backward Selection, Least Absolute Shrinkage and Selection Operator (LASSO), and Random Forest. Severe outcome was defined as the composite of need for non-invasive ventilation, need for orotracheal intubation, or death. A total of 610 patients were included in the analysis, 313 had a severe outcome. The subset for the derivation analysis included 335 patients, the subset for the validation analysis 275 patients. The LASSO selection identified 6 variables (age, history of coronary heart disease, CRP, AST, D-dimer, and neutrophil/lymphocyte ratio) and resulted in the best performing score with an area under the curve of 0.79 in the derivation cohort and 0.80 in the validation cohort. Using a cut-off of 7 out of 13 points, sensitivity was 0.93, specificity 0.34, positive predictive value 0.59, and negative predictive value 0.82. The proposed score can identify patients at low risk for severe outcome who can be safely managed in a low-intensity setting after hospital admission for COVID-19.

Coagulation parameters and venous thromboembolism in patients with and without COVID-19 admitted to the Emergency Department for acute respiratory insufficiency.

BACKGROUND: In the recent outbreak of COVID-19 pandemic, increased D-dimer levels and high rates of venous thromboembolic events were reported. We aimed to compare coagulation parameters on admission between COVID-19 patients and non-COVID-19 patients with acute respiratory insufficiency and to describe VTE diagnosed at entry. METHODS: In this single-centre, observational retrospective study consecutive patients admitted for fever and acute respiratory failure were included. Patients underwent laboratory tests, arterial blood gas, chest X-ray, point of care ultrasound (POCUS), limited compression ultrasonography of the lower limbs (L-CUS), chest CT-scan if necessary, and swab test for COVID-19. RESULTS: Of 324 patients, 50% had COVID-19. COVID19 patients had significantly lower mean white blood cells, neutrophils, platelet count, and pCT values, and significantly higher CRP, LDH, and ferritin levels than non-COVID19 patients. D-dimer was increased in 86.5% COVID19 patients and in 84.9% non-COVID19 patients; mean values were similar (2185 ng/mL and 2814 ng/mL, respectively, p = n.s.). After multivariate analysis, results were unchanged (Odds Ratio 1.00 95%CI: 0.99-1.00, p = 0.21). PT and aPTT values were also similar between the two groups, fibrinogen levels were higher in COVID19 than in non-COVID19 patients (684 and 496 mg/dL, respectively, p < 0.0001). Five patients had asymptomatic proximal deep vein thrombosis detected by L-CUS (3 COVID19) and 2 patients had symptomatic pulmonary embolism (both non-COVID19). CONCLUSIONS: D-dimer levels were similarly increased in patients with and without SARS-CoV 2 related disease. There were few cases of asymptomatic deep vein thrombosis or symptomatic pulmonary embolism at first day of admission, similarly distributed between COVID19 patients and non-COVID19 patients.