Immunoparesis or suppression of polyclonal immunoglobulins is a very common condition in newly diagnosed myeloma patients. However, the recovery of polyclonal immunoglobulins in the setting of immune reconstitution after autologous stem cell transplantation and its effect on outcome has not yet been explored. We conducted this study in a cohort of 295 patients who had undergone autologous transplantation. In order to explore the potential role of immunoglubulin recovery as a dynamic predictor of progression or survival after transplantation, conditional probabilities of progression-free survival and overall survival were estimated according to immunoglobulin recovery at different time points using a landmark approach. One year after transplant, when B-cell reconstitution is expected to be completed, among 169 patients alive and progression free, 88 patients (52%) showed immunoglobulin recovery and 81 (48%) did not. Interestingly, the group with immunoglobulin recovery had a significantly longer median progression-free survival than the group with persistent immunoparesis (median 60.4 vs. 27.9 months, respectively; Hazard Ratio: 0.45, 95%Confidence Interval: 0.31–0.66; P<0.001), and improved overall survival (11.3 vs. 7.3 years; Hazard Ratio: 0.45, 95%Confidence Interval: 0.27–0.74; P=0.002). Furthermore, the percentage of normal plasma cells detected by flow cytometry in the bone marrow assessed at day 100 after transplantation was associated with the immunoglobulin recovery at that time and may predict immunoglobulin recovery in the subsequent months: nine months and one year. In conclusion, the recovery of polyclonal immunoglobulins one year after autologous transplantation in myeloma patients is an independent long-term predictor marker for progression and survival.

BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management. METHODS: We trained, validated, and externally tested a machine-learning model to early identify patients who will die or require mechanical ventilation during hospitalization from clinical and laboratory features obtained at admission. A development cohort with 918 Covid-19 patients was used for training and internal validation, and 352 patients from another hospital were used for external testing. Performance of the model was evaluated by calculating the area under the receiver-operating-characteristic curve (AUC), sensitivity and specificity. RESULTS: A total of 363 of 918 (39.5%) and 128 of 352 (36.4%) Covid-19 patients from the development and external testing cohort, respectively, required mechanical ventilation or died during hospitalization. In the development cohort, the model obtained an AUC of 0.85 (95% confidence interval [CI], 0.82 to 0.87) for predicting severity of disease progression. Variables ranked according to their contribution to the model were the peripheral blood oxygen saturation (SpO2)/fraction of inspired oxygen (FiO2) ratio, age, estimated glomerular filtration rate, procalcitonin, C-reactive protein, updated Charlson comorbidity index and lymphocytes. In the external testing cohort, the model performed an AUC of 0.83 (95% CI, 0.81 to 0.85). This model is deployed in an open source calculator, in which Covid-19 patients at admission are individually stratified as being at high or non-high risk for severe disease progression. CONCLUSIONS: This machine-learning model, applied at hospital admission, predicts risk of severe disease progression in Covid-19 patients.

BACKGROUND Smoldering multiple myeloma (SMM) is a plasma cell proliferative disorder with no related organ or tissue impairment. It is associated with a risk of progression to symptomatic multiple myeloma (MM) of approximately 10% per year. Several prognostic factors for the progression to active disease have been identified, such as those defined by the Mayo Clinic including the proportion of bone marrow plasma cells, the serum monoclonal protein level at diagnosis and the serum immunoglobulin free light chain ratio (FLC); or those defined by the Spanish Group including the proportion of bone marrow aberrant plasma cells assessed by flow cytometry plus immunoparesis. The presence of Bence Jones (BJ) proteinuria is a myeloma feature associated with renal function and tumor burden as well. There is lack of evidence about the role of BJ proteinuria in SMM as predictor marker of progression to symptomatic disease. AIMS The goal of the present study was to investigate the role of the presence of Bence Jones proteinuria at diagnosis in SMM as predictor of progression to symptomatic disease. METHODS We reviewed 147 medical records of SMM patients from area of Castilla y León (Spain), diagnosed between 1983 and 2013, according to the criteria of the International Myeloma Working Group. The primary endpoint was time to progression to active multiple myeloma (hypercalcemia, renal insufficiency, anemia or bone lesions). RESULTS 147 patients with SMM were included in the analysis. The median age at diagnosis was 69 years-old (range: 34-90).The serum M-protein at diagnosis ranged from 1 to 26 g/l (median,25). 70% of SMM were Ig G subtype. The proportion of bone marrow plasma cells ranged from 1% to 55% (median, 14). In 64 % of SMM, the percentage of aberrant plasma cells assessed by flow cytometry was superior to 95% and 51% had immunoparesis. Bence Jones proteinuria was detected at diagnosis in 40 patients (27%) and the average amount of urinary monoclonal light chain was 236 mg per 24h. Of those patients, 58% had a monoclonal kappa light chain. The FLC ratio was assessed in 18 patients and it was abnormal (<0.26 or >1.65) in 83% of them. The median level of involved Immunoglobulin was 88.5 mg/l (range, 13-1200) and the median ratio of involved to uninvolved was 10.8 (range, 2.2-3360). In 4 patients, FLC ratio was greater than 100. At a median follow-up of 54 months, progression to active disease occurred in 49%. Anemia was the most common CRAB feature at the time of progression. Median time to progression (TTP) to symptomatic disease in the whole series was 63 months. SMM with BJ proteinuria had a significantly shorter median TTP to active disease as compared with patients without BJ proteinuria (21.7 months vs 82.9 months ;HR: 2.44, IC 95%: 1.48-4.02; p<0.001). The progression risk at 2 years in the BJ group of SMM was 53%. Multivariate analysis selected BJ proteinuria at diagnosis as an independent variable for progression to symptomatic MM (HR: 2.47, IC 95%: 1.32-4.63; P=0.005). Using this independent variable, we identified 4 risk categories according to amount of urinary monoclonal light chain: 0 mg per 24h; 1-250 mg/24h; 251-500 mg/24h ; or more than 500 mg/24h, with a median TTP of 83, 37, 16 and 7 months, respectively; p <0.001. CONCLUSIONS The presence of Bence Jones proteinuria at diagnosis in SMM patients is associated with significantly higher risk of progression to active MM (53% risk of progression at 2 years). Moreover, the presence of more than 500 mg of BJ proteinuria can be considered as a marker for the identification of ultra high risk SMM. Disclosures No relevant conflicts of interest to declare.

Objective:Unknown ethiology Background:Paraneoplastic cerebellar degeneration (PCD) is a rare condition that can present as an acute or subacute cerebellar syndrome. PCD is most commonly associated with gynecological and breast cancer, small-cell lung cancer, and classical Hodgkin's lymphoma. The symptoms of PCD can arise several months before tumor diagnosis. This report is of a case of a 44-year-old man with PCD that preceded the diagnosis of classical Hodgkin's lymphoma by 16 months. Case Report:A 44-year-old man was admitted to hospital with a cerebellar syndrome that was initially diagnosed as vertebrobasilar insufficiency. Eight months later, cerebral magnetic resonance imaging (MRI) findings and serum anti-Tr antibodies supported the diagnosis of PCD, but no underlying malignancy was initially found. At 16 months after the initial diagnosis of PCD, the patient developed an enlarged inguinal lymph node. Histology of the excisional lymph node biopsy confirmed the diagnosis of classic mixed cellularity Hodgkin's lymphoma, Ann Arbor stage IIA. The patient responded to four cycles of adriamycin, bleomycin, vinblastine, and dacarbazine (ABVD) chemotherapy. Conclusions:This case illustrates that in patients who present with PCD, an associated malignancy, such as classical Hodgkin's lymphoma, may emerge several months later, which supports long-term follow-up. The presence of anti-Tr antibodies may support a diagnosis of classical Hodgkin's lymphoma in a patient with a history of PCD who develops lymphadenopathy.