Usefulness of Electrocardiographic Strain to Predict Survival After Surgical Aortic Valve Replacement for Aortic Stenosis

International audienceElectrocardiographic (ECG) strain has been reported as a specific marker of midwall left ventricular (LV) myocardial fibrosis, predictive of adverse clinical outcomes in aortic stenosis (AS), but its prognostic impact after aortic valve replacement (AVR) is unknown. We aimed to assess the impact of ECG strain on long-term mortality after surgical AVR for AS. From January 2005 to January 2014, patients with interpretable preoperative ECG who underwent isolated AVR for AS were included. ECG strain was defined as ≥1-mm concave downslopping ST-segment depression with asymmetrical T-wave inversion in lateral leads. Mortality was assessed over a follow-up period of 4.8 ± 2.7 years. Among the 390 patients included, 110 had ECG strain (28%). They had significantly lower body mass index, higher mean transaortic pressure gradient and Cornell-product ECG LV hypertrophy than in those without ECG strain. There was also a trend for lower LV ejection fraction in patients with ECG strain as compared with those without. Patients with ECG strain had significantly lower 8-year survival than those without. ECG strain remained associated with reduced survival both in patients with and without LV hypertrophy (p <0.0001 for both). After adjustment, ECG strain remained a strong and independent determinant of long-term survival (hazard ratio 4.4, p <0.0001). Similar results were found in patients with LV hypertrophy or without LV hypertrophy. In the multivariate model, the addition of ECG strain provided incremental prognostic value (p <0.0001). In conclusion, in patients with AS, ECG strain is associated with 4-fold increased risk of long-term mortality after isolated AVR, regardless of preoperative LV hypertrophy

Azacitidine Plus Venetoclax for the Treatment of Relapsed and Newly Diagnosed Acute Myeloid Leukemia Patients

International audienceVenetoclax (VEN) belongs the BH3-mimetic class that selectively targets BCL-2, activating apoptosis. The combination of VEN and azacitidine (AZA) has changed the paradigm of treatment of newly diagnosed (ND) acute myeloid leukemia (AML) patients ineligible for intensive chemotherapy. There is scarce evidence for the use of VEN–AZA for relapsed or refractory (R/R) AML. We compared the outcome of 39 R/R AML and 38 ND AML patients treated between 01/20 and 12/21. The median age was 69 (22–86) and 73 (61–81) in the R/R and ND groups, respectively. Adverse cytogenetics were found in 36% of patients in the R/R group and 59% of patients in the ND group. Overall response rate was 37% in R/R AML, including 13% CR, 8% CRi, 3% PR and 13% MLFS, and 58% in the ND AML, including 32% CR, 13% CRi and 13% MLFS. Adverse cytogenetics was associated with treatment failure in the R/R group (Relative Risk = 0.13, p = 0.005). Median overall survival (OS) was 5.9 months in the R/R group and 9.4 months in the ND group. Median OS was 2.2 months in the adverse cytogenetics group versus 8.7 months in the intermediate cytogenetics group in the R/R group (p = 0.02). Median leukemia-free survival was not different between the two groups (9.4 months and 10.3 months), indicating that VEN–AZA can be an efficient salvage treatment for selected R/R AML patients. In conclusion, VEN–AZA is a promising treatment for ND AML and for selected R/R AML patients

Comparison of Degree of Stenosis and Plaque Volume for the Assessment of Carotid Atherosclerosis Using 2-D Ultrasound

International audienc

A simplified frailty scale predicts outcomes in transplant-ineligible patients with newly diagnosed multiple myeloma treated in the FIRST (MM-020) trial

International audiencePatients with multiple myeloma are generally older and vary in fitness levels, which may influence the clinical benefit of treatment. Patients from the large, phase 3 FIRST trial in newly diagnosed multiple myeloma (NDMM) were retrospectively investigated to determine outcomes based on frailty using scores for age, Charlson Comorbidity Index (CCI), and Eastern Cooperative Oncology Group performance status (ECOG PS), instead of the EQ-5D quality-of-life questionnaire, as previously reported. ECOG PS (n = 1618) was investigated in frailty groups: frail (49%) and nonfrail (51%). Frail patients experienced worse progression-free and overall survival vs nonfrail patients. Prognostic assessment was improved when combining frailty and International Staging System stage (I/II vs III). Frail patients had a higher risk of developing grade 3/4 treatment-emergent adverse events. Treatment effects observed in the FIRST trial were confirmed per frailty group and per frailty and ISS group. The use of this ECOG PS-containing frailty scale as a predictive measure of clinical outcomes in patients with transplant-ineligible NDMM is supported by data from the FIRST trial. This score, based on age, CCI, and ECOG PS, can be easily replicated and may help design future myeloma studies in frail or nonfrail elderly patients

Clinical presentation, outcome, and prognostic markers in patients with intravascular large B-cell lymphoma, a lymphoma study association (LYSA) retrospective study

International audienceBackground Intravascular large B-cell lymphoma (lVLBCL) is a very rare type of large B-cell lymphoma. Methods We conducted a retrospective study on IVLBCL patients treated from 2000 to 2016 in LYSA cooperative group centers. Results Sixty-five patients were identified in 23 centers. Median age at diagnosis was 69 years (range 23-92). Thirty-four patients (64%) had an IPI score &gt;3 and 40 patients (67%) had a performance status &gt;= 2. The most frequent extra-nodal locations were bone marrow (n = 34; 52%), central nervous system (n = 25; 39%), and skin (n = 21; 33%). Nodal involvement and endocrine system were observed in 34% (n = 22) and 18% (n = 12) of all cases, respectively. Twenty-six patients (41%) had macrophage activation syndrome. Tumor cells were frequently CD5 positive (52%) with a non-germinal center origin (86%). BCL2 was expressed in 87% of all samples analyzed (n = 20) and 43% of patients had a MYC/BCL2 double expression. Fifty-six patients were treated with a regimen of chemotherapy containing rituximab, among whom 73% reached complete remission. The median progression-free survival (PFS) and median overall survival (OS) were 29.4 months and 63.8 months, respectively. History of autoimmune disorder (Hazard ratio [HR] 3.3 [1.4-7.8]; p &lt; 0.01), nodal involvement (HR 2.6 [1.4-5.1]; p &lt; 0.01), lack of anthracycline (HR 0.1 [0-0.4] for use; p &lt; 0.001), or no intensification at first-line regimen (p = 0.02) were associated with worse PFS. High-dose methotrexate use was not associated with better PFS or OS. Conclusions Our study highlights the aggressive clinical picture of IVLBCL, in particular the frequency of macrophage activation syndrome, and the need for new therapies despite a response to R-CHOP-like regimen similar to non-intravascular diffuse large B-cell lymphomas

A predictive model for risk of early grade >= 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial

Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade ≥ 3 infections in the first 18 months and 56.2% of these patients experienced their first grade ≥ 3 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade ≥ 3 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum β2-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P < 0.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade ≥ 3 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention

A predictive model for risk of early grade ≥ 3 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial

Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade ≥ 3 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade ≥ 3 infections in the first 18 months and 56.2% of these patients experienced their first grade ≥ 3 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade ≥ 3 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum β2-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P < 0.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade ≥ 3 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention

A predictive model for risk of early grade\u2009 65\u20093 infection in patients with multiple myeloma not eligible for transplant: analysis of the FIRST trial

Infections are a major cause of death in patients with multiple myeloma. A post hoc analysis of the phase 3 FIRST trial was conducted to characterize treatment-emergent (TE) infections and study risk factors for TE grade\u2009 65\u20093 infection. The number of TE infections/month was highest during the first 4 months of treatment (defined as early infection). Of 1613 treated patients, 340 (21.1%) experienced TE grade\u2009 65\u20093 infections in the first 18 months and 56.2% of these patients experienced their first grade\u2009 65\u20093 infection in the first 4 months. Risk of early infection was similar regardless of treatment. Based on the analyses of data in 1378 patients through multivariate logistic regression, a predictive model of first TE grade\u2009 65\u20093 infection in the first 4 months retained Eastern Cooperative Oncology Group performance status and serum \u3b22-microglobulin, lactate dehydrogenase, and hemoglobin levels to define high- and low-risk groups showing significantly different rates of infection (24.0% vs. 7.0%, respectively; P\u2009<\u20090.0001). The predictive model was validated with data from three clinical trials. This predictive model of early TE grade\u2009 65\u20093 infection may be applied in the clinical setting to guide infection monitoring and strategies for infection prevention