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Background and purposeHereditary transthyretin (hATTR) amyloidosis causes progressive polyneuropathy resulting from transthyretin (TTR) amyloid deposition throughout the body, including the peripheral nerves. The efficacy and safety of inotersen, an antisense oligonucleotide inhibitor of TTR protein production, were demonstrated in the pivotal NEURO‐TTR study in patients with hATTR polyneuropathy. Here, the long‐term efficacy and safety of inotersen are assessed in an ongoing open‐label extension (OLE) study.MethodsPatients who completed NEURO‐TTR were eligible to enroll in the OLE (NCT02175004). Efficacy assessments included the modified Neuropathy Impairment Score plus seven neurophysiological tests composite score (mNIS + 7), the Norfolk Quality of Life – Diabetic Neuropathy (Norfolk QOL‐DN) questionnaire total score and the Short‐Form 36 Health Survey (SF‐36) Physical Component Summary (PCS) score. Safety and tolerability were also assessed.ResultsOverall, 97% (135/139) of patients who completed NEURO‐TTR enrolled in the OLE. Patients who received inotersen for 39 cumulative months in NEURO‐TTR and the OLE continued to show benefit; patients who switched from placebo to inotersen in the OLE demonstrated improvement or stabilization of neurological disease progression by mNIS + 7, Norfolk QOL‐DN and SF‐36 PCS. No new safety concerns were identified. There was no evidence of increased risk for grade 4 thrombocytopenia or severe renal events with increased duration of inotersen exposure.ConclusionInotersen slowed disease progression and reduced deterioration of quality of life in patients with hATTR polyneuropathy. Early treatment with inotersen resulted in greater long‐term disease stabilization than delayed initiation. Routine platelet and renal safety monitoring were effective; no new safety signals were observed.

Background Previous reports have described a leveling off of mortality from premature coronary artery disease (CAD). In recent years, the prevalence of cardiovascular risk factors has increased in rural communities and young adults. Methods and Results We extracted CAD mortality rates from the Centers for Disease Control and Prevention Wide‐Ranging Online Data for Epidemiologic Research (CDC WONDER) database from 1999 to 2017, focusing on mortality from premature CAD (defined as <65 years of age in women) and urban–rural differences. Variations in mortality rates over time, assessed with Joinpoint regression modeling, are expressed as estimated annual percentage change (95% CI) and stratified by urbanization, sex, age, and race. Age‐adjusted mortality rates decreased for women and men. Stratification by urbanization revealed that premature CAD mortality is stagnating among women in rural areas. However, this stagnation conceals a statistically significant increase in CAD mortality rates since 2009 in women aged 55 to 64 years (estimated annual percentage change: +1.4%; 95% CI, +0.3% to +2.5%) and since 1999 in women aged 45 to 54 years (estimated annual percentage change: +0.6%; 95% CI, +0.2% to 1.0%). Since 1999, mortality has been stagnating in the youngest group (aged 35–44 years; estimated annual percentage change: +0.2%; 95% CI, −0.4% to +0.8%). Stratification by race indicated an increase in mortality rates among white rural women. Premature CAD mortality remains consistently higher in the rural versus urban United States, regardless of sex, race, and age group. Conclusions Premature CAD mortality rates have declined over time. However, stratification by sex and urbanization reveals disparities that would otherwise remain concealed: CAD mortality rates have increased among women from rural areas since at least 2009.

Abstract The outcome of patients (pts) with WM, a rare B-cell malignancy, varies widely. The international community has convened a panel to develop a prognostically meaningful staging system for survival after treatment initiation. Toward establishing IPSS, we performed multivariate analyses with bootstrap validation in a series of 587 pts (median age 67, range: 28 to 95, M/F ratio: 1.7) diagnosed between September 1979 and December 2001. Diagnostic and treatment criteria fulfilled recommendations of the 2nd international WM workshop. Front-line treatment was initiated at diagnosis in 69% and 4 mo to 164 mo later in the remaining pts. Criteria for initiation of therapy included cytopenia, constitutional symptoms, organomegaly, hyperviscosity, IgM-related disorders, which pertained to 51%, 44%, 35%, 31% and 13%, respectively. Treatment regimens comprised alkylating agents, fludarabine and rituximab in 369, 195 and 23 subjects, respectively. Baseline parameters included age&gt;65 yr in 57%, Hb≤11.5 g/dL in 65%, platelet count ≤100 x109/L in 9%, granulocyte count ≤1.5 x109/L in 9%, B2M &gt;3 mg/L in 56%, albumin ≤3.5 g/dL in 36% and monoclonal protein &gt;7.0 g/dL in 7%. With a median follow-up of 64 mo (range, 6 mo–182 mo), the median survival after treatment initiation was 87 mo (95%CI 79–103) regardless of the type of therapy applied (p=0.3). Using results of univariate survival analyses, recursive partitioning and martingale residuals analyses, 7 adverse characteristics for inclusion in multivariate analyses were identified during an expert meeting: age &gt;65 yr, platelet count ≤ 100x109/L, B2M &gt;3 mg/L, M-protein &gt;7.0 g/dL, granulocytes ≤1.5 x109/L, Hb ≤11.5 g/dL and albumin ≤3.5 g/dL. The Cox proportional hazard model with stepwise selection selected the first 6 covariates. Bootstrap resampling (500 replicates) validated the selection of the first 4 covariates in at least 80% of the replicates. Selection of at least one of the last 2 covariates in more than 80% of the replicates indicated a correlation between these 2 covariates, and validated the inclusion of Hb only. Using the combination of age, Hb, platelet count, B2M and M-protein, low risk was defined by the presence of ≤1 adverse characteristic except age, high risk by the presence of &gt;2 adverse characteristics; the remaining patients with 2 adverse characteristics or age &gt;65yr had intermediate risk, comprising 27%, 38% and 35% of patients with 5-yr survival rates of 87%, 68% and 36% (p&lt;0.0001), independent of treatment and age. IPSS split each subgroup identified by previous scoring systems (Morel, Merlini, Dhodapkar). Conversely, log-rank test was significant only when the latter prognostic system was assessed in low IPSS-risk pts. Thus the combination of age, B2M, M-protein and blood counts provides simple prognostic model for survival in WM, hopefully serving as an objective basis for initiation of therapy and comparison of treatment results.

Background: COVID-19 is a novel infectious disease caused by the severe acute respiratory distress (SARS)-coronavirus-2 (SARS-CoV-2). Several therapeutic options are currently emerging but none with universal consensus or proven efficacy. Solid organ transplant recipients are perceived to be at increased risk of severe COVID-19 because of their immunosuppressed conditions due to chronic use of immunosuppressive drugs (ISDs). It is therefore likely that solid organ transplant recipients will be treated with these experimental antivirals. Methods: This article is not intended to provide a systematic literature review on investigational treatments tested against COVID-19; rather, the authors aim to provide recommendations for therapeutic drug monitoring of ISDs in transplant recipients infected with SARS-CoV-2 based on a review of existing data in the literature. Results: Management of drug–drug interactions between investigational anti-SARS-CoV-2 drugs and immunosuppressants is a complex task for the clinician. Adequate immunosuppression is necessary to prevent graft rejection while, if critically ill, the patient may benefit from pharmacotherapeutic interventions directed at limiting SARS-CoV-2 viral replication. Maintaining ISD concentrations within the desired therapeutic range requires a highly individualized approach that is complicated by the pandemic context and lack of hindsight. Conclusions: With this article, the authors inform the clinician about the potential interactions of experimental COVID-19 treatments with ISDs used in transplantation. Recommendations regarding therapeutic drug monitoring and dose adjustments in the context of COVID-19 are provided.

Background Temporal declines in cardiac stress tests results, coronary revascularization, and cardiovascular mortality have suggested a decline in the population burden of coronary disease until the 2000s. However, recent data indicate these favorable trends could be ending. We aimed to assess the evolution of the population burden of coronary disease in the community by examining trends in angiography and revascularization. Methods and Results We analyzed age‐ and sex‐adjusted trends from all coronary angiographic diagnostic procedures and revascularizations performed in Olmsted County, MN from 2000 to 2018. A total of 12 981 invasive angiograms were performed among 9049 individuals (64% men; 55% aged ≥65 years). Adjusted angiography rates decreased by 30% (95% CI , 25%–34%) between 2000 and 2009 and leveled off thereafter. Including computed tomography, angiography uncovered an increase in angiography use in recent years (risk ratio=1.15 [95% CI , 1.07–1.23] for 2018 versus 2014) and a decline in the prevalence of anatomic CAD from 2000 to 2018. CAD severity declined substantially from 2000 to 2009, followed by a plateau. Among 6570 revascularizations (72% men; 57% aged ≥65 years), 77% were percutaneous coronary interventions and 23% coronary artery bypass graft surgeries. The adjusted revascularization rates declined by 34% (95% CI , 27%–39%) from 2000 to 2009, followed by a plateau (risk ratio=1.10 [95% CI , 1.00–1.22]). Conclusions Between 2000 and 2018 in the community, coronary angiography use declined initially, leveled off, and then increased. Trends in CAD severity and revascularization use decreased then plateaued. The most recent trends are concerning as they suggest the burden of coronary disease is no longer declining. This warrants reinvigorated primary prevention and population surveillance.

Abstract Aims Takotsubo syndrome (TTS) is an acute heart failure syndrome, which shares many features with acute coronary syndrome (ACS). Although TTS was initially described with angiographically normal coronary arteries, smaller studies recently indicated a potential coexistence of coronary artery disease (CAD) in TTS patients. This study aimed to determine the coexistence, features, and prognostic role of CAD in a large cohort of patients with TTS. Methods and results Coronary anatomy and CAD were studied in patients diagnosed with TTS. Inclusion criteria were compliance with the International Takotsubo Diagnostic Criteria for TTS, and availability of original coronary angiographies with ventriculography performed during the acute phase. Exclusion criteria were missing views, poor quality of angiography loops, and angiography without ventriculography. A total of 1016 TTS patients were studied. Of those, 23.0% had obstructive CAD, 41.2% had non-obstructive CAD, and 35.7% had angiographically normal coronary arteries. A total of 47 patients (4.6%) underwent percutaneous coronary intervention, and 3 patients had acute and 8 had chronic coronary artery occlusion concomitant with TTS, respectively. The presence of CAD was associated with increased incidence of shock, ventilation, and death from any cause. After adjusting for confounders, the presence of obstructive CAD was associated with mortality at 30 days. Takotsubo syndrome patients with obstructive CAD were at comparable risk for shock and death and nearly at twice the risk for ventilation compared to an age- and sex-matched ACS cohort. Conclusions Coronary artery disease frequently coexists in TTS patients, presents with the whole spectrum of coronary pathology including acute coronary occlusion, and is associated with adverse outcome. Trial registration ClinicalTrials.gov number: NCT01947621.

Abstract The most common genetic abnormality in multiple myeloma is the deletion of chromosome 13, seen in almost half of newly diagnosed patients. Unlike chronic lymphocytic leukemia, where a recurrent minimally deleted region including MIR15A/MIR16-1 has been mapped, the deletions in multiple myeloma predominantly involve the entire chromosome and no specific driver gene has been identified. Additional candidate loci include RB1 and DIS3, but while biallelic deletion of RB1 is associated with disease progression, DIS3 is a common essential gene and complete inactivation is not observed. The Vk*MYC transgenic mouse model of multiple myeloma spontaneously acquires del(14), syntenic to human chromosome 13, and Rb1 complete inactivation, but not Dis3 mutations. Taking advantage of this model, we explored the role in multiple myeloma initiation and progression of two candidate loci on chromosome 13: RB1 and MIR15A/MIR16-1. Monoallelic deletion of Mir15a/Mir16-1, but not Rb1, was sufficient to accelerate the development of monoclonal gammopathy in wild-type mice and the progression of multiple myeloma in Vk*MYC mice, resulting in increased expression of Mir15a/Mir16-1 target genes and plasma cell proliferation, which was similarly observed in patients with multiple myeloma. Significance: In the absence of a defined, minimally deleted region the significance of del(13) in multiple myeloma has remained controversial. Here we show that haploinsufficiency of Mir15a/Mir16-1, but not Rb1, upregulates the cell cycle–regulatory network, inducing monoclonal gammopathy in mice and promoting multiple myeloma progression in both mice and men. See related commentary by Walker, p. 16. This article is highlighted in the In This Issue feature, p. 5

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.

Introduction: Approximately two-thirds of patients with primary or post-essential thrombocythemia/polycythemia vera myelofibrosis (MF) have anemia, many of whom require red blood cell (RBC) transfusions. In this heavily transfused population there are severely limited treatment options; effective treatment for anemia in MF is a critically unmet medical need. Luspatercept is a first-in-class erythroid maturation agent which binds to select TGF-β superfamily ligands to reduce aberrant Smad2/3 signaling and enhance late-stage erythropoiesis. Here we report the interim results of the ongoing open-label, phase 2 trial evaluating luspatercept in patients with MF and anemia. Methods: Seventy-four patients with MF and anemia were enrolled, including 41 not receiving concomitant ruxolitinib at study entry who received either no RBC transfusions (n = 20; Cohort 1) or 2-4 RBC U/28 d in the 12 wks prior to treatment (n = 21; Cohort 2). Thirty-three enrolled patients were receiving a stable dose of ruxolitinib for at least 16 wks, of which 14 were not receiving RBC transfusions (Cohort 3A) and 19 were (Cohort 3B). Patients in Cohorts 3A and 3B received a median dose of ruxolitinib of 20 mg/d (range, 5-50 mg/d) for a median of 41 and 43 wks, respectively. Patients received luspatercept every 21 d at a starting dose of 1.0 mg/kg in doses escalating up to 1.75 mg/kg. The primary endpoint in patients not receiving transfusions was a hemoglobin (Hb) increase ≥ 1.5 g/L at every assessment from baseline for ≥ 12 consecutive wks, within the first 24 wks on study. In patients receiving RBC transfusions, the primary endpoint was RBC transfusion-independence (RBC-TI) for ≥ 12 consecutive wks, within the first 24 wks on study. Additional endpoints included proportion of patients achieving mean Hb increase ≥ 1.5 g/dL in Cohorts 1 and 3A, and ≥ 50% decrease in RBC transfusions (minimum 4 RBC U decrease from baseline) in Cohorts 2 and 3B, with both responses lasting ≥ 12 consecutive wks, within 24 wks of study entry. Intent-to-treat (ITT) data were analyzed as of May 10, 2019. Results: Median age was 71 y (range, 50-88 y) and 42 (57%) were male. Median interval from MF diagnosis to study entry was 3.3 y (range, 19 d-13.5 y). Seven patients were Dynamic International Prognostic Scoring System (DIPSS) intermediate-1, 58 were intermediate-2, and 8 were high risk. Median Hb concentration at study entry was 8.8 g/dL (range, 6.7-9.8 g/dL) for Cohort 1 and 8.6 g/dL (range, 6.7-9.1 g/dL) for Cohort 3A. Patients in Cohort 2 received a median of 2.7 RBC U/28 d (range, 1-5 U/28 d) and patients in Cohort 3B received a median of 2.3 RBC U/28 d (range, 2-4 U/28 d). Patients received a median of 8 cycles of luspatercept (range, 1-24 cycles). Efficacy data are displayed in the Table, per ITT data. Two of twenty (10%) and 3/14 (21%) patients in Cohorts 1 and 3A, respectively, achieved an absolute Hb increase ≥ 1.5 g/dL at every measurement from baseline over any consecutive 12 wks. Two of twenty-one (10%) and 6/19 (32%) patients in Cohorts 2 and 3B, respectively, achieved RBC-TI over any consecutive 12 wks. Median duration of Hb response was 20 wks (range, 12-27 wks) in Cohort 1 and 12 wks (range, 12-13 wks) in Cohort 3A. Median duration of RBC-TI was 23 wks (range, 16-31 wks) in Cohort 2 and 32 wks (range, 12-65 wks) in Cohort 3B. Three (15%) and 8 (57%) patients in Cohorts 1 and 3A, respectively, achieved a mean Hb increase of ≥ 1.5 g/dL. Eight (38%) and 10 (53%) patients in Cohorts 2 and 3B, respectively, achieved a ≥ 50% reduction in RBC transfusion burden from baseline. Ruxolitinib exposure remained stable throughout the 24-wk treatment period in both Cohorts 3A and 3B. There was no difference in spleen size between responders and non-responders. Four (5%) patients had grade 3-4 treatment-related adverse events (AEs). There were no treatment-related deaths. Treatment-related AEs occurring in ≥ 3% of patients were hypertension (11%), bone pain (8%), and diarrhea (4%). Seven (9%) patients had ≥ 1 AE resulting in treatment discontinuation; 23 (31%) remain on study. Conclusions: The initial results from this ongoing study suggest clinically significant activity of luspatercept in patients with MF-associated anemia, including those receiving concomitant ruxolitinib. A minority of AEs were grade 3-4 in severity, consistent with previous studies in MDS and beta-thalassemia. Disclosures Gerds: CTI Biopharma: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Pfizer: Consultancy; Imago Biosciences: Research Funding; Roche: Research Funding; Celgene Corporation: Consultancy, Research Funding; Sierra Oncology: Research Funding. Vannucchi:Italfarmaco: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees; CTI: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Passamonti:Roche: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Consultancy, Speakers Bureau. Kremyanskaya:La Jolla: Consultancy; Incyte, Celgene, Constellation, Protagonist.: Research Funding. Gotlib:Celgene Corporation: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Honoraria, Research Funding; Promedior: Consultancy, Research Funding; Kartos: Consultancy, Honoraria, Research Funding; CTI Biopharma: Research Funding. Ribrag:BMS: Membership on an entity's Board of Directors or advisory committees; AZ: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; argenX: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees; Infinity: Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Honoraria, Research Funding; MSD: Membership on an entity's Board of Directors or advisory committees. Mead:Celgene: Consultancy, Research Funding; CTI: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Other: Travel/accommodation expenses, Research Funding, Speakers Bureau; Bristol Myers-Squibb: Consultancy; Pfizer: Consultancy. Harrison:Sierra Oncology: Honoraria; Gilead: Speakers Bureau; CTI: Speakers Bureau; Roche: Honoraria; Promedior: Honoraria; Janssen: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Incyte: Speakers Bureau; Celgene: Honoraria, Speakers Bureau; AOP: Honoraria; Shire: Speakers Bureau. Mesa:Shire: Honoraria; Promedior: Research Funding; Genotech: Research Funding; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses; LaJolla: Consultancy; AbbVie: Research Funding; NS Pharma: Research Funding; CTI: Research Funding; Gilead Sciences: Research Funding; Samus: Research Funding; Baxalta: Consultancy; Galena Biopharma: Consultancy; Celgene Corporation: Research Funding; Sierra Oncology: Consultancy; PharmaEssentia: Research Funding; Genentech: Consultancy; Pfizer: Research Funding; AOP Orphan Pharmaceuticals: Honoraria, Other: travel, accommodations, expenses; Incyte: Other: travel, accommodations, expenses, Research Funding. Kiladjian:AOP Orphan: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Celgene: Consultancy. Gale:Celgene Corporation: Employment. Laadem:Celgene Corporation: Employment, Equity Ownership. Pariseau:Celgene Corporation: Employment. Gerike:Celgene Corporation: Employment. Zhang:Celgene Corporation: Employment, Equity Ownership. Linde:Abbott Laboratories, Inc.: Equity Ownership; Acceleron Pharma: Employment, Equity Ownership; Fibrogen, Inc.: Equity Ownership. Reynolds:Acceleron Pharma: Employment, Equity Ownership. Verstovsek:Gilead: Research Funding; NS Pharma: Research Funding; Celgene: Consultancy, Research Funding; Promedior: Research Funding; CTI BioPharma Corp: Research Funding; Genetech: Research Funding; Blueprint Medicines Corp: Research Funding; Novartis: Consultancy, Research Funding; Sierra Oncology: Research Funding; Pharma Essentia: Research Funding; Astrazeneca: Research Funding; Ital Pharma: Research Funding; Protaganist Therapeutics: Research Funding; Constellation: Consultancy; Pragmatist: Consultancy; Roche: Research Funding; Incyte: Research Funding. OffLabel Disclosure: Luspatercept is an investigational therapy that is not approved for any use in any country. Luspatercept is currently being evaluated for potential use in patients with anemia due to myelodysplastic syndromes, beta-thalassemia, or myelofibrosis.