2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153772/1/acr24131.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153772/2/acr24131_am.pd

2020 American College of Rheumatology Guideline for the Management of Reproductive Health in Rheumatic and Musculoskeletal Diseases

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154675/1/art41191.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154675/2/art41191_am.pd

Clinical Characteristics, Racial Inequities, and Outcomes in Patients with Breast Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Cohort Study

BACKGROUND: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. METHODS: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. RESULTS: 1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32-1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70-6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83-12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63-3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20-2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66-3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89-22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. CONCLUSIONS: Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients. FUNDING: This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. CLINICAL TRIAL NUMBER: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701

2019 Update of the American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis

ObjectiveTo update evidence-based recommendations for the treatment of patients with ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (SpA).MethodsWe conducted updated systematic literature reviews for 20 clinical questions on pharmacologic treatment addressed in the 2015 guidelines, and for 26 new questions on pharmacologic treatment, treat-to-target strategy, and use of imaging. New questions addressed the use of secukinumab, ixekizumab, tofacitinib, tumor necrosis factor inhibitor (TNFi) biosimilars, and biologic tapering/discontinuation, among others. We used the Grading of Recommendations, Assessment, Development and Evaluation methodology to assess the quality of evidence and formulate recommendations and required at least 70% agreement among the voting panel.ResultsRecommendations for AS and nonradiographic axial SpA are similar. TNFi are recommended over secukinumab or ixekizumab as the first biologic to be used. Secukinumab or ixekizumab is recommended over the use of a second TNFi in patients with primary nonresponse to the first TNFi. TNFi, secukinumab, and ixekizumab are favored over tofacitinib. Co-administration of low-dose methotrexate with TNFi is not recommended, nor is a strict treat-to-target strategy or discontinuation or tapering of biologics in patients with stable disease. Sulfasalazine is recommended only for persistent peripheral arthritis when TNFi are contraindicated. For patients with unclear disease activity, spine or pelvis magnetic resonance imaging could aid assessment. Routine monitoring of radiographic changes with serial spine radiographs is not recommended.ConclusionThese recommendations provide updated guidance regarding use of new medications and imaging of the axial skeleton in the management of AS and nonradiographic axial SpA

2019 Update of the American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis

ObjectiveTo update evidence-based recommendations for the treatment of patients with ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (SpA).MethodsWe conducted updated systematic literature reviews for 20 clinical questions on pharmacologic treatment addressed in the 2015 guidelines, and for 26 new questions on pharmacologic treatment, treat-to-target strategy, and use of imaging. New questions addressed the use of secukinumab, ixekizumab, tofacitinib, tumor necrosis factor inhibitor (TNFi) biosimilars, and biologic tapering/discontinuation, among others. We used the Grading of Recommendations, Assessment, Development and Evaluation methodology to assess the quality of evidence and formulate recommendations and required at least 70% agreement among the voting panel.ResultsRecommendations for AS and nonradiographic axial SpA are similar. TNFi are recommended over secukinumab or ixekizumab as the first biologic to be used. Secukinumab or ixekizumab is recommended over the use of a second TNFi in patients with primary nonresponse to the first TNFi. TNFi, secukinumab, and ixekizumab are favored over tofacitinib. Co-administration of low-dose methotrexate with TNFi is not recommended, nor is a strict treat-to-target strategy or discontinuation or tapering of biologics in patients with stable disease. Sulfasalazine is recommended only for persistent peripheral arthritis when TNFi are contraindicated. For patients with unclear disease activity, spine or pelvis magnetic resonance imaging could aid assessment. Routine monitoring of radiographic changes with serial spine radiographs is not recommended.ConclusionThese recommendations provide updated guidance regarding use of new medications and imaging of the axial skeleton in the management of AS and nonradiographic axial SpA

2019 Update of the American College of Rheumatology/Spondylitis Association of America/Spondyloarthritis Research and Treatment Network Recommendations for the Treatment of Ankylosing Spondylitis and Nonradiographic Axial Spondyloarthritis

ObjectiveTo update evidence-based recommendations for the treatment of patients with ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (SpA).MethodsWe conducted updated systematic literature reviews for 20 clinical questions on pharmacologic treatment addressed in the 2015 guidelines, and for 26 new questions on pharmacologic treatment, treat-to-target strategy, and use of imaging. New questions addressed the use of secukinumab, ixekizumab, tofacitinib, tumor necrosis factor inhibitor (TNFi) biosimilars, and biologic tapering/discontinuation, among others. We used the Grading of Recommendations, Assessment, Development and Evaluation methodology to assess the quality of evidence and formulate recommendations and required at least 70% agreement among the voting panel.ResultsRecommendations for AS and nonradiographic axial SpA are similar. TNFi are recommended over secukinumab or ixekizumab as the first biologic to be used. Secukinumab or ixekizumab is recommended over the use of a second TNFi in patients with primary nonresponse to the first TNFi. TNFi, secukinumab, and ixekizumab are favored over tofacitinib. Co-administration of low-dose methotrexate with TNFi is not recommended, nor is a strict treat-to-target strategy or discontinuation or tapering of biologics in patients with stable disease. Sulfasalazine is recommended only for persistent peripheral arthritis when TNFi are contraindicated. For patients with unclear disease activity, spine or pelvis magnetic resonance imaging could aid assessment. Routine monitoring of radiographic changes with serial spine radiographs is not recommended.ConclusionThese recommendations provide updated guidance regarding use of new medications and imaging of the axial skeleton in the management of AS and nonradiographic axial SpA

Incidence of and Risk Factors for Venous Thromboembolism Among Hospitalized Patients with Cancer and COVID-19: Report from the COVID-19 and Cancer Consortium (CCC19) Registry

Introduction: Hospitalized patients with COVID-19 may have increased risk of venous thromboembolism (VTE) and pulmonary embolism (PE). Cancer and anti-cancer therapies are well-known additional risk factors for VTE. Nonetheless, the VTE risk in patients with both cancer and COVID-19 infection remains unknown as recent studies have not found an association due to sample size limitations. We report the incidence of and risk factors for VTE and PE among hospitalized patients with cancer and COVID-19. Methods: The COVID-19 and Cancer Consortium (CCC19) developed an international retrospective cohort study (NCT04354701) to investigate the clinical course and complications of COVID-19 among adult patients with an active or previous history of cancer. For the current study, cumulative incidences of clinically detected VTE and PE were analyzed among hospitalized patients with laboratory confirmed SARS-CoV-2. Pre-specified subgroup analysis was performed to examine the interaction between intensive care unit (ICU) admission and recent anti-cancer therapy on VTE outcomes. Bivariable logistic regression analyses were conducted to assess the association between baseline variables and VTE; unadjusted odds ratios (OR) and 95% confidence interval (CI) were reported. These variables included age, sex, obesity (BMI>30), race/ethnicity, performance status, comorbidities, blood type, history of VTE, recent surgery, recent anti-cancer therapy, cancer subtype VTE risk grouping (adapted from Khorana Score), pre-admission anticoagulant or antiplatelet use, and ICU admission status. Results: From March 17, 2020 to July 31, 2020, 3914 patients were enrolled in the CCC19 registry. For the present analysis, patients were excluded if they had inadequate follow-up <4 weeks (n=950), were not admitted to the hospital (n=1008), or had unknown VTE outcomes (n=327). Among the 1629 hospitalized patients, the median follow-up was 35 days. Patients were comprised from 3 countries (92% US, 6% Canada, 2% Spain), with a median age of 70, 45% female, and a median comorbidity score of 3. Racial/ethnic breakdown included 44% White, 26% Black, 14% Hispanic, and 13% Other. A past history of VTE was reported in 9% of patients; pre-admission anticoagulant use and antiplatelet use were reported in 25% and 35% of patients, respectively. The most common cancer types included prostate (18%), breast (15%), and lymphoma (14%). Based on the VTE risk grouping adapted from the original Khorana Score, 34% were low-risk, 29% were high-risk, and 6% were very high-risk. The receipt of anti-cancer therapy within 3 months of diagnosis was observed in 39% of patients (17% cytotoxic chemotherapy, 11% targeted therapy, 7% endocrine therapy, and 5% immunotherapy). The overall incidence of inhospital VTE and PE was 9.3% and 5.2%, respectively. The corresponding estimates were 13.4% and 7.9% among the ICU subgroup. On bivariable analysis, significant predictors of VTE included ICU admission, recent anti-cancer therapy, active cancer status, cancer subtype VTE risk grouping, and pre-admission antiplatelet use (Table 1). Pre-admission anticoagulant use had significant associations with PE but not VTE. Multivariable adjustment is ongoing to identify independent risk factor for VTE and clarify the impact of pre-admission anticoagulant/antiplatelet use controlled for other potential confounders. Both ICU admission status and anti-cancer therapy increased the risk of VTE independently. Non-ICU patients not on anti-cancer therapy had the lowest incidence of VTE (4.5%), whose estimate was similar to that reported in the non-cancer hospitalized population with COVID-19 infection. Patients with either ICU admission or recent anti-cancer therapy had the intermediate risk (11.0%), whereas ICU patients with recent anti-cancer therapy had the highest risk (16.7%). We did not observe confounding or effect modification by the ICU subgroup on the association between anti-cancer therapy and VTE. Conclusion: In this cohort study of hospitalized patients with cancer and COVID-19, recent anti-cancer therapy, active disease, high-risk VTE cancer subtypes, and ICU admission have increased risk of VTE and PE, while pre-admission anticoagulant/antiplatelet therapy may reduce the risk. This information will aid in developing a risk prediction tool for VTE in hospitalized patients with cancer and COVID-19. Disclosures Kuderer: G1 Therapeutics: Consultancy; Total Health: Consultancy; Invitae: Consultancy; Beyond Springs: Consultancy; Bristol-Myers Squibb: Consultancy; celldex: Consultancy; Bayer: Consultancy; Spectrum Pharmaceuticals: Consultancy; Janssen: Consultancy. Warner:HemOnc.orgLLC: Other: Shareholder/Stockholder/Stock options; IBM Watson Health: Consultancy; Westat: Consultancy; National Cancer Institute: Research Funding. Shah:American Cancer Society and the Hope Foundation for Cancer Research: Research Funding; National Cancer Institute: Research Funding. Zon:Amagma Therapeutics.: Consultancy, Other: stockholder. Shah:Aspen Pharma: Research Funding. Gulati:Puma Biotechnology: Consultancy; AstraZeneca: Research Funding; Isoray: Research Funding. Khaki:Merck: Other: share/stockholder; Pfizer: Other: share/stockholder. Thompson:AIM Specialty Health, BMS, GlaxoSmithKline, Takeda, Via Oncology: Membership on an entity's Board of Directors or advisory committees; Synapse Precision Medical Council: Other: Travel expenses; Doximity: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Grivas:Oncogenex: Research Funding; Immunomedics: Research Funding; Debiopharm: Research Funding; Bavarian Nordic,: Research Funding; QED Therapeutics: Honoraria; Seattle Genetics: Honoraria; Roche: Honoraria; Pfizer: Honoraria, Research Funding; Mirati Therapeutics: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Janssen: Honoraria; Heron Therapeutics: Honoraria; GlaxoSmithKline: Honoraria; Genzyme: Honoraria; Genentech: Honoraria, Research Funding; Foundation Medicine: Honoraria; Exelixis: Honoraria; EMD Serono: Honoraria; Driver: Honoraria; Clovis Oncology: Honoraria, Research Funding; Bristol-Myers Squibb,: Consultancy, Honoraria, Research Funding, Speakers Bureau; Biocept: Honoraria; Bayer: Honoraria, Research Funding; Astra Zeneca: Honoraria, Research Funding. de Lima Lopes:Bavarian Nordic: Research Funding; NOVARTIS: Research Funding; Tesaro: Research Funding; GSK: Research Funding; G1 Therapeutics: Research Funding; adaptimmune: Research Funding; BMS: Research Funding; Lilly: Research Funding; Merck Sharp & Dohme: Research Funding; Astra Zeneca: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Boehringer Ingelheim: Honoraria; Janssen: Research Funding; rgenix: Research Funding; Blueprint Medicines: Research Funding; Genentech: Research Funding; Roche: Research Funding; EMD Serono: Research Funding. Shyr:Roche: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Johnson & Johnson: Consultancy; GlaxoSmithKline: Consultancy; AstraZeneca: Consultancy, Speakers Bureau; Boehringer Ingelheim: Speakers Bureau; Eisai: Speakers Bureau. Pennell:Merck: Consultancy; Cota: Consultancy; Inivata: Consultancy; G1 Therapeutics: Consultancy; Astrazeneca: Consultancy; BMS: Consultancy; Eli Lilly: Consultancy; Amgen: Consultancy; Genentech: Consultancy. Friese:Eli Lilly: Consultancy; Patient-Centered Outcomes Research Institute: Membership on an entity's Board of Directors or advisory committees; Agency for Healthcare Research and Quality: Research Funding; National Cancer Institute: Research Funding; Merck Foundation: Research Funding; National Comprehensive Cancer Network: Research Funding; Pfizer: Research Funding; Eli Lilly: Consultancy. Patel:reast Cancer Research Foundation: Research Funding; Sanofi: Research Funding; Odonate Therapeutics: Research Funding; Radius: Honoraria; Genentech: Research Funding. Halmos:Foundation Medicine: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Guardant Health: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Boehringer-Ingelheim: Consultancy, Research Funding; Merck: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; AstraZeneca: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Eli-Lilly: Research Funding; Advaxis: Research Funding; Mirati: Research Funding; Takeda: Research Funding; GSK: Research Funding; AbbVie: Research Funding; Genentech: Consultancy; TPT: Consultancy. Choueiri:Pfizer: Consultancy, Honoraria, Research Funding; Pionyr: Consultancy, Other; Merck: Consultancy, Honoraria, Research Funding; Roche Products Limited: Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche: Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Lilly: Consultancy, Research Funding; Peloton: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Tempest: Consultancy, Other; Lilly Ventures: Consultancy; International Patent Application No. PCT/US2018/12209, entitled "PBRM1 Biomarkers Predictive of Anti-Immune Checkpoint Response," filed January 3, 2018, claiming priority to U.S. Provisional Patent Application No. 62/445,094, filed January 11, 2017: Patents & Royalties; Prometheus Labs: Consultancy, Honoraria, Research Funding; Corvus: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; Alexion: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Research Funding; Bristol Myers-Squibb/ER Squibb and sons LLC: Consultancy, Honoraria, Research Funding; Cerulean: Consultancy, Honoraria, Research Funding; Eisai: Consultancy, Honoraria, Research Funding; oundation Medicine Inc.: Consultancy, Honoraria, Research Funding; International Patent Application No. PCT/US2018/058430, entitled "Biomarkers of Clinical Response and Ben

The CoVID- TE risk assessment model for venous thromboembolism in hospitalized patients with cancer and COVID- 19

BackgroundHospitalized patients with COVID- 19 have increased risks of venous (VTE) and arterial thromboembolism (ATE). Active cancer diagnosis and treatment are well- known risk factors; however, a risk assessment model (RAM) for VTE in patients with both cancer and COVID- 19 is lacking.ObjectivesTo assess the incidence of and risk factors for thrombosis in hospitalized patients with cancer and COVID- 19.MethodsAmong patients with cancer in the COVID- 19 and Cancer Consortium registry (CCC19) cohort study, we assessed the incidence of VTE and ATE within 90 days of COVID- 19- associated hospitalization. A multivariable logistic regression model specifically for VTE was built using a priori determined clinical risk factors. A simplified RAM was derived and internally validated using bootstrap.ResultsFrom March 17, 2020 to November 30, 2020, 2804 hospitalized patients were analyzed. The incidence of VTE and ATE was 7.6% and 3.9%, respectively. The incidence of VTE, but not ATE, was higher in patients receiving recent anti- cancer therapy. A simplified RAM for VTE was derived and named CoVID- TE (Cancer subtype high to very- high risk by original Khorana score +1, VTE history +2, ICU admission +2, D- dimer elevation +1, recent systemic anti- cancer Therapy +1, and non- Hispanic Ethnicity +1). The RAM stratified patients into two cohorts (low- risk, 0- 2 points, n = 1423 vs. high- risk, 3+ points, n = 1034) where VTE occurred in 4.1% low- risk and 11.3% high- risk patients (c statistic 0.67, 95% confidence interval 0.63- 0.71). The RAM performed similarly well in subgroups of patients not on anticoagulant prior to admission and moderately ill patients not requiring direct ICU admission.ConclusionsHospitalized patients with cancer and COVID- 19 have elevated thrombotic risks. The CoVID- TE RAM for VTE prediction may help real- time data- driven decisions in this vulnerable population.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/170302/1/jth15463_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/170302/2/jth15463.pd