Citations

This study was conducted in treatment-naive adults with drug-susceptible pulmonary tuberculosis in Port-au-Prince, Haiti, to assess the safety, bactericidal activity, and pharmacokinetics of nitazoxanide (NTZ). This was a prospective phase II clinical trial in 30 adults with pulmonary tuberculosis. Twenty participants received 1 g of NTZ orally twice daily for 14 days. A control group of 10 participants received standard therapy over 14 days. The primary outcome was the change in time to culture positivity (TTP) in an automated liquid culture system.

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.

Background: The combination of lenalidomide+rituximab (R2) recently showed superior efficacy vs R-placebo in patients (pts) with R/R iNHL (Leonard et al. J Clin Oncol 2019). Based on these AUGMENT study results, R2 was approved by the US FDA for treatment of adult pts with previously treated follicular lymphoma (FL) or marginal zone lymphoma (MZL). Advanced age at diagnosis is a risk factor in pts with iNHL. We performed post-hoc subgroup analyses by age from AUGMENT and data here focus on pts age ≥ 70 y. Methods: AUGMENT (NCT01938001) is a multicenter, double-blind, randomized phase III study of R2 vs R-placebo in pts with FL grade 1-3a or MZL previously treated with ≥ 1 systemic therapy with R/R disease but not refractory to rituximab. Pts were randomized 1:1 to R2 or R-placebo. R2 was oral lenalidomide 20 mg/d, d1-21/28 for 12c plus rituximab IV 375 mg/m2 weekly in c1 and d1 of c2-5. R-placebo was rituximab+placebo on the same schedule. The primary endpoint was progression-free survival (PFS) per 2007 IWG response criteria (without PET) as assessed by IRC (central review). Secondary endpoints included overall response rate (ORR), complete response (CR), time to next anti-lymphoma treatment (TTNLT) and safety. Post-hoc analyses were performed by dividing pts into age &lt; 70 y and ≥ 70 y subgroups, the latter group considered unfit for chemotherapy. Results: Of 358 pts randomized (R2, n = 178; R-placebo, n = 180), 267 pts were age &lt; 70 y (R2, n = 131; R-placebo, n = 136), and 91 pts were age ≥ 70 y (R2, n = 47; R-placebo, n = 44). Baseline characteristics including histology, disease status, and prior treatments are shown in the table and were similar across treatment arms in pts ≥ 70 y. At a median follow-up of 28.3 mo, the study met its primary endpoint of PFS, with a hazard ratio (HR) of 0.46 (95% CI, 0.34-0.62; P &lt; 0.0001) in the overall population. R2 had superior PFS vs R-placebo in both &lt; 70 and ≥ 70 y subgroups, with HR of 0.41 (95% CI, 0.29-0.59) and HR of 0.66 (95% CI, 0.37-1.18), respectively. In pts ≥ 70 y, median PFS with R2 vs R-placebo was 24.9 vs 14.3 mo; ORR/CR was 81%/26% vs 59%/16%; and TTNLT was not reached in either arm. Efficacy results for all pts and those &lt; 70 y are reported in the table; notably in pts receiving R2, mPFS was longer in pts &lt; 70 y vs ≥ 70 y (39.4 mo [95% CI, 22.9-NE] vs 24.9 mo [95% CI, 16.4-NE]). In pts ≥ 70 y, any-grade adverse events (AEs) with a ≥ 10 % difference between R2 vs R-placebo included neutropenia (63% vs 11%), constipation (33% vs 16%), cough (33% vs 16%), leukopenia (26% vs 2%), anemia (24% vs 9%), pyrexia (24% vs 9%), pruritus/pruritus generalized (24% vs 2%), muscle spasms (22% vs 11%), rash/rash maculopapular (22% vs 5%), headache (20% vs 9%), thrombocytopenia (17% vs 2%), dyspepsia (13% vs 2%), influenza (13% vs 2%), back pain (7% vs 18%), and nasopharyngitis (4% vs 16%). Also, tumor flare was reported in 9% vs 0% of pts, respectively. In pts ≥ 70 y, 75% of R2 pts vs 36% of R-placebo pts had ≥ 1 grade 3/4 AE, mainly due to neutropenia (50% vs 7%). All other grade 3/4 AEs occurred in &lt; 10% of pts ≥ 70 y in both treatment arms. One grade 5 AE occurred in pts ≥ 70 y (R-placebo arm). In the R2 arm, the median number of treatment cycles was 12 for both the &lt; 70 y vs ≥ 70 y subgroups; however, fewer older pts completed 12 cycles of lenalidomide (76% vs 57%), and more started lenalidomide at the lower dose of 10 mg (6% vs 35%) because of low creatinine clearance, respectively. In the R2 &lt; 70 y and ≥ 70 y subgroups, the average daily dose of lenalidomide was 17.9 mg/d (range, 5.6-20.0) and 14.4 mg/d (range 4.2-20.0), and median relative dose intensity was 95% and 86%, respectively. Conclusions: Similar to the results in the original population, R2 showed superior efficacy vs rituximab monotherapy (plus placebo) as measured by the primary end point of PFS and secondary end points of ORR and CR in pts with R/R FL grade 1-3a and MZL irrespective of age. The efficacy and safety profiles of R2 and R-placebo in pts ≥ 70 y were similar to those reported in the overall population. Older pts treated with R2 vs R-placebo had superior mPFS (24.9 vs 14.3 mo). They were more likely to start lenalidomide at a lower dose and had lower median dose intensity which may have contributed to their shorter mPFS vs younger pts receiving R2. These data show that R2 maintained efficacy improvements vs R-placebo in pts ≥ 70 y, despite higher unfit status and lower overall lenalidomide treatment/exposure. Thus, R2 is an effective and available treatment option for pts with iNHL, including those with advanced age. Disclosures Trněný: Amgen: Consultancy, Honoraria; F. Hoffmann-La Roche: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy; MorphoSys: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Gilead Sciences: Consultancy, Honoraria. Leonard:Nordic Nanovector: Consultancy; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy; AstraZeneca: Consultancy; Celgene: Consultancy; Bayer Corporation: Consultancy; Epizyme, Inc: Consultancy; Karyopharm Therapeutics: Consultancy; Sutro Biopharma: Consultancy; Merck: Consultancy; Gilead: Consultancy; BeiGene: Consultancy; ADC Therapeutics: Consultancy; Sandoz: Consultancy; Akcea Therapeutics: Consultancy; Miltenyi: Consultancy; MorphoSys: Consultancy. Nowakowski:F. Hoffmann-La Roche Ltd: Research Funding; NanoString: Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Genentech, Inc.: Research Funding; MorphoSys: Consultancy, Research Funding. Izutsu:Chugai, Celgene, Daiichi Sankyo, Astra Zeneca, Eisai, Symbio, Ono, Bayer, Solasia, Zenyaku, Incyte, Novartis, Sanofi, HUYA Bioscience, MSD, Astellas Amgen, Abbvie, ARIAD, Takeda, Pfizer: Research Funding; Kyowa Kirin, Eisai, Takeda, MSD, Chugai, Nihon Medi-physics, Janssen, Ono, Abbvie, Dainihon Sumitomo, Bayer, Astra Zeneca, HUYA Japan, Novartis, Bristol-Byers Squibb, Mundi, Otsuka, Daiichi Sankyo, Astellas, Asahi Kasei: Honoraria; Celgene: Consultancy; Eisai, Symbio, Chugai, Zenyaku: Research Funding; Eisai, Chugai, Zenyaku: Honoraria. Fowler:TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Thieblemont:Roche: Honoraria, Research Funding; Gilead: Honoraria; Novartis: Honoraria; Kyte: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Cellectis: Membership on an entity's Board of Directors or advisory committees. Zinzani:Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Eusapharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Servier: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Membership on an entity's Board of Directors or advisory committees; Immune Design: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Portola: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Kyowa Kirin: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; TG Therapeutics: Honoraria, Speakers Bureau. Kalambakas:Celgene Corporation: Employment, Equity Ownership. Czuczman:Celgene Corporation: Employment, Equity Ownership. Fustier:Celgene Corporation: Employment, Equity Ownership. Wu:Celgene Corporation: Employment, Equity Ownership. Gribben:Janssen: Consultancy, Honoraria, Research Funding; Acerta/Astra Zeneca: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding.

AbstractThere is increasing interest in health care organizations functioning as learning health systems (LHSs) to improve the quality and efficiency of health care delivery while generating new knowledge. Individuals must be trained in associated concepts and competencies and subsequently positioned (or embedded) within the delivery system for maximum effect as they perform their scholarship. Potential researchers within LHSs come from many different training backgrounds; therefore, each LHS scholar requires a goal‐directed plan tailored to his or her needs. There are few tools available to guide development, training, or evaluation of individuals interested in becoming leaders of research in LHSs. In this paper, we present a newly developed tool for guiding the training of such researchers, the Learning Health Systems Competency Appraisal Inventory (LHS‐CAI). The LHS‐CAI is modeled after the Clinical Research Appraisal Index (CRAI) used within Clinical and Translational Science Award sites across the United States. The LHS‐CAI is a tool for trainees at all levels to use with their mentors in an interactive manner. The tool can then identify areas in which more training is needed and at what level to ensure success as a researcher within LHSs. We further modified the CRAI format to better leverage the LHS‐CAI as a key part of an LHS scholar's individual development plan. To implement the LHS‐CAI, we have identified key points within the Minnesota Learning Health System Mentored Career Development Program (MN‐LHS) at which assessment of expertise for each competency would be useful to LHS scholars, mentors, and program leaders. Scholars in this program come from various clinical and academic backgrounds but are all targeting their career trajectories toward leading embedded LHS research. They will reevaluate their expertise upon completion of the program, with comparison to baseline serving as a key program evaluation tool. The LHS‐CAI is currently being implemented with the first cohort of scholars in the MN‐LHS program.

Background Although rituximab‐based high‐dose therapy is frequently used in diffuse large B cell lymphoma (DLBCL) patients undergoing autologous hematopoietic cell transplantation (auto‐HCT), data supporting the benefits are not available. Herein, we report the impact of rituximab‐based conditioning on auto‐HCT outcomes in patients who have DLBCL. Methods Using the Center for International Blood and Marrow Transplant Research (CIBMTR) registry, 862 adult DLBCL patients undergoing auto‐HCT between 2003 and 2017 using BEAM (BCNU, etoposide, cytarabine, melphalan) conditioning regimen were included. All patients received frontline rituximab‐containing chemoimmunotherapy and had chemosensitive disease pre‐HCT. Early chemoimmunotherapy failure was defined as not achieving complete remission (CR) after frontline chemoimmunotherapy or relapse within 1 year of initial diagnosis. The primary outcome was overall survival (OS). Results The study cohort was divided into 2 groups: BEAM (n = 667) and R‐BEAM (n = 195). On multivariate analysis, no significant difference was seen in OS ( P = .83) or progression‐free survival (PFS) ( P = .61) across the 2 cohorts. No significant association between the use of rituximab and risk of relapse ( P = .15) or nonrelapse mortality ( P = .12) was observed. Variables independently associated with lower OS included older age at auto‐HCT ( P < .001), absence of CR at auto‐HCT ( P < .001) and early chemoimmunotherapy failure ( P < .001). Older age ( P < .0002) and non‐CR pre‐HCT ( P < .0001) were also associated with inferior PFS. There was no significant difference in early infectious complications between the 2 cohorts. Conclusion In this large registry analysis of DLBCL patients undergoing auto‐HCT, the addition of rituximab to the BEAM conditioning regimen had no impact on transplantation outcomes. Older age, absence of CR pre auto‐HCT, and early chemoimmunotherapy failure were associated with inferior survival.

494 Background: Our aim was to compare survival between patients receiving neoadjuvant chemoradiation and orthotopic liver transplantation (OLT group) versus definitive chemoradiation (CRT group) for extrahepatic or hilar cholangiocarcinoma. Methods: 49 patients (20 in OLT group vs. 29 in CRT group) with unresectable hilar/extrahepatic cholangiocarcinoma were treated at Mayo Clinic Arizona between Feb. 1998–Sep. 2019. Treatment included external beam radiation therapy (median 4500cGy) and boost (median 900cGy) with either continuous 5-flurouracil (dose range 180–225 mg/m2) or capecitabine (dose range 825–1000 mg/m2 BID) prior to or without OLT. Radiation boosts were delivered with EBRT or bile duct brachytherapy. Patients were between 27.9–84.3 years (median 64.3) at diagnosis. 18 patients had previous diagnosis of PSC. Results: Between Feb. 1998–Sep. 2019, 31(63%) of 49 patients died by the end of follow-up. Of patients treated with neoadjuvant therapy and OLT, 7(35%) of 20 patients died. 24(86%) of 28 patients treated with definitive therapy died. The OLT cohort were younger (mean age 56.5 vs. 69.0 years), more likely to have PSC and UC (65% vs. 17%), and had a lower CA 19-9 (median 43 vs. 535)(P < 0.003). From the end date of radiation, median overall survival was 76.8 months vs. 15.6 months for the OLT and CRT groups, respectively. Survival rates at 3 and 5 years were 78% and 69% in the OLT group compared to 19% and 6% in the CRT group (HR 7.73; 3.04-19.65:(P < 0.0001)). Progression-free survival (89% vs. 30% at 3 years), and distant metastasis-free survival (88% vs. 66% at 3 years) favored OLT versus CRT alone (HR 5.74;1.12-29.34:(P < 0.02)). Univariate analysis demonstrated that the method of treatment (OLT vs. CRT) was the only variable associated with better clinical outcomes. Conclusions: In patients with unresectable extrahepatic/hilar cholangiocarcinoma, survival was higher in those who underwent chemoradiation and OLT. Patients who received definitive chemoradiation in the absence of OLT were expected to have worse overall, progression-free, and metastasis-free survival.

Context Neck pain (NP), neck injuries, and concussions are more prevalent in female athletes than in their male counterparts. Females exhibit less neck girth, strength, and stiffness against a perturbation. As part of the clinical examination for individuals with NP, ultrasound (US)–based imaging of the cervical muscles has become common. Muscle size or thickness and stiffness can be measured with US-based B-mode and shear-wave elastography (SWE), respectively. Information on reliability, normative values, and sex differences based on US-based muscle size or thickness and stiffness in young and athletic individuals is limited. Objective To evaluate sex differences in US-based muscle size or thickness and biomechanical properties of the cervical-flexor and -extensor muscles. Design Cross-sectional study. Setting Laboratory. Patients or Other Participants A total of 13 women (age = 23.7 ± 1.9 years, height = 167.1 ± 6.1 cm, mass = 63.8 ± 5.6 kg) and 11 men (age = 25.6 ± 4.9 years, height = 178.7 ± 8.3 cm, mass = 78.9 ± 12.0 kg). Main Outcome Measure(s) The same examiner collected all measures, using US B-mode to scan the cross-sectional area and thickness of the longus colli (LC), sternocleidomastoid (SCM), cervical-extensor muscles, and upper trapezius (UT) muscle. The US SWE-mode was used to measure the stiffness of the SCM and UT. Independent t tests or Mann-Whitney U tests were calculated to determine sex differences. The intraclass correlation coefficient (ICC) measured intrarater test-retest reliability. Results Men had thicker SCMs than women (P = .01). No sex differences were present for longus colli cross-sectional area, cervical-extensor muscle thickness, or UT thickness (P &gt; .05). In addition, no sex differences were evident for SCM (P = .302) or UT (P = .703) SWE stiffness. Reliability was good to excellent (ICC = 0.715–0.890) except for SCM SWE stiffness (ICC = 0.554). Conclusions The only sex difference was in SCM thickness. However, smaller SCMs in women did not result in less SCM SWE stiffness. We provided normative values for US-based imaging of the cervical-flexor and -extensor muscles in young and athletic men and women.

Background: A recently developed mechanical impact simulator induced an anterior cruciate ligament (ACL) rupture via the application of a combination of inverse dynamics–based knee abduction moment (KAM), anterior tibial shear force (ATS), and internal tibial rotation moment with impulsive compression in a cohort of cadaveric limbs. However, there remains an opportunity to further define the interaction of internal forces and moments at the knee and their respective influence on injury events. Purpose: To identify the influence of internal knee loads on an ACL injury event using a cadaveric impact simulator. Study Design: Controlled laboratory study. Methods: Drop-landing simulations were performed and analyzed on 30 fresh-frozen cadaveric knees with a validated mechanical impact simulator. Internal forces and moments at the knee joint center were calculated using data from a 6-axis load cell recorded on the femur during testing. Kinetic data from a total of 1083 trials that included 30 ACL injury trials were used as inputs for principal component (PC) analysis to identify the most critical features of loading waveforms. Logistic regression analysis with a stepwise selection was used to select the PCs that predicted an ACL injury. Injurious waveforms were reconstructed with selected PCs in logistic regression analysis. Results: A total of 3 PCs were selected in logistic regression analysis that developed a significant model ( P < .001). The external loading of KAM was highly correlated with PC1 (ρ < –0.8; P < .001), which explained the majority (>69%) of the injurious waveforms reconstructed with the 3 selected PCs. The injurious waveforms demonstrated a larger internal knee adduction moment and lateral tibial force. After the ACL was ruptured, decreased posterior tibial force was observed in injury trials. Conclusion: These findings give us a better understanding of ACL injury mechanisms using 6-axis kinetics from an in vitro simulator. An ACL rupture was correlated with an internal knee adduction moment (external KAM) and was augmented by ATS and lateral tibial force induced by an impact, which distorted the ACL insertion orientation. Clinical Relevance: The ACL injury mechanism explained in this study may help target injury prevention programs to decrease injurious knee loading (KAM, ATS, and lateral tibial force) during landing tasks.