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Monteagudo B, Marqués FM, Gibelin J, Orr NA, Corsi A, Kubota Y, Casal J, Gómez-Camacho J, Authelet G, Baba H, Caesar C, Calvet D, Delbart A, Dozono M, Feng J, Flavigny F, Gheller JM, Giganon A, Gillibert A, Hasegawa K, Isobe T, Kanaya Y, Kawakami S, Kim D, Kiyokawa Y, Kobayashi M, Kobayashi N, Kobayashi T, Kondo Y, Korkulu Z, Koyama S, Lapoux V, Maeda Y, Motobayashi T, Miyazaki T, Nakamura T, Nakatsuka N, Nishio Y, Obertelli A, Ohkura A, Ota S, Otsu H, Ozaki T, Panin V, Paschalis S, Pollacco EC, Reichert S, Rousse JY, Saito AT, Sakaguchi S, Sako M, Santamaria C, Sasano M, Sato H, Shikata M, Shimizu Y, Shindo Y, Stuhl L, Sumikama T, Sun YL, Tabata M, Togano Y, Tsubota J, Uesaka T, Yang ZH, Yasuda J, Yoneda K, Zenihiro J. Mass, Spectroscopy, and Two-Neutron Decay of ^{16}Be. PHYSICAL REVIEW LETTERS 2024; 132:082501. [PMID: 38457706 DOI: 10.1103/physrevlett.132.082501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/18/2023] [Accepted: 01/29/2024] [Indexed: 03/10/2024]
Abstract
The structure and decay of the most neutron-rich beryllium isotope, ^{16}Be, has been investigated following proton knockout from a high-energy ^{17}B beam. Two relatively narrow resonances were observed for the first time, with energies of 0.84(3) and 2.15(5) MeV above the two-neutron decay threshold and widths of 0.32(8) and 0.95(15) MeV, respectively. These were assigned to be the ground (J^{π}=0^{+}) and first excited (2^{+}) state, with E_{x}=1.31(6) MeV. The mass excess of ^{16}Be was thus deduced to be 56.93(13) MeV, some 0.5 MeV more bound than the only previous measurement. Both states were observed to decay by direct two-neutron emission. Calculations incorporating the evolution of the wave function during the decay as a genuine three-body process reproduced the principal characteristics of the neutron-neutron energy spectra for both levels, indicating that the ground state exhibits a strong spatially compact dineutron component, while the 2^{+} level presents a far more diffuse neutron-neutron distribution.
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Kostrubsky V, Liu Y, Muste C, Gu C, Kirkland M, Nishimura N, Hasegawa K, Hasumi K, Yuan L. Preclinical safety, toxicokinetics and metabolism of BIIB131, a novel prothrombolytic agent for acute stroke. Regul Toxicol Pharmacol 2023; 145:105498. [PMID: 37778433 DOI: 10.1016/j.yrtph.2023.105498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/23/2023] [Accepted: 09/28/2023] [Indexed: 10/03/2023]
Abstract
BIIB131, a small molecule, is currently in Phase 2 for the treatment of acute ischemic stroke. Safety and metabolism of BIIB131 were evaluated following intravenous administration to rats and monkeys. Exposure increased dose-proportionally in rats up to 60 mg/kg and more than dose-proportionally in monkeys at greater than 10 mg/kg accompanied by prolonged half-life and safety findings. The BIIB131 was poorly metabolized in microsomes with no inhibition of CYPs. BIIB131-glucuronide, formed by UGT1A1, accounted for 21.5% metabolism in human hepatocytes and 28-40% in rat bile. In rats, excretion was primarily via the bile. BIIB131 inhibited the hERG and Nav1.5 cardiac channels by 39% but showed no effect on cardiovascular parameters in monkeys. Toxicology findings were limited to reversable hematuria, changes in urinary parameters and local effects. A MTD of 30 mg/kg was established in monkeys, the most sensitive species, at total plasma Cmax and AUC of 6- and 14-fold, respectively, greater than the NOAEL. The Phase 1 study started with intravenous 0.05 mg/kg and ascended to 6.0 mg/kg which corresponded to safety margins of 147- to 0.9-fold (for Cmax) within the linear drug exposure. Thus, the preclinical profile of BIIB131 has been appropriately characterized and supports its further clinical development.
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Moritoyo T, Nishimura N, Hasegawa K, Ishii S, Kirihara K, Takata M, Svensson AK, Umeda-Kameyama Y, Kawarasaki S, Ihara R, Sakanaka C, Wakabayashi Y, Niizuma K, Tominaga T, Yamazaki T, Hasumi K. A first-in-human study of the anti-inflammatory profibrinolytic TMS-007, an SMTP family triprenyl phenol. Br J Clin Pharmacol 2022; 89:1809-1819. [PMID: 36562925 DOI: 10.1111/bcp.15651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/23/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS TMS-007, an SMTP family member, modulates plasminogen conformation and enhances plasminogen-fibrin binding, leading to promotion of endogenous fibrinolysis. Its anti-inflammatory action, mediated by soluble epoxide hydrolase inhibition, may contribute to its efficacy. Evidence suggests that TMS-007 can effectively treat experimental thrombotic and embolic strokes with a wide time window, while reducing haemorrhagic transformation. We aim to evaluate the safety, pharmacokinetics and pharmacodynamics of TMS-007 in healthy volunteers. METHODS This was a randomized, placebo-controlled, double blind, dose-escalation study, administered as a single intravenous infusion of TMS-007 in cohorts of healthy male Japanese subjects. Six cohorts were planned, but only five were completed. In each cohort (n = 8), individuals were randomized to receive one of five doses of TMS-007 (3, 15, 60, 180 or 360 mg; n = 6) or placebo (n = 2). RESULTS TMS-007 was generally well tolerated, and no serious adverse events were attributed to the drug. A linear dose-dependency was observed for plasma TMS-007 levels. No symptoms of bleeding were observed on brain MRI analysis, and no bleeding-related responses were found on laboratory testing. The plasma levels of the coagulation factor fibrinogen and the anti-fibrinolysis factor α2 -antiplasmin levels were unchanged after TMS-007 dosing. A slight increase in the plasma level of plasmin-α2 -antiplasmin complex, an index of plasmin formation, was observed in the TMS-007 group in cohort 2. CONCLUSIONS TMS-007 is generally well tolerated and exhibits favourable pharmacokinetic profiles that warrant further clinical development.
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Nakaizumi Y, Hasegawa K, Inoue Y, Takai O. Fabrication of SiO:CH Particle-agglomerated Films by PECVD with Vinyl-group Organosilicon Reactants. J PHOTOPOLYM SCI TEC 2022. [DOI: 10.2494/photopolymer.35.283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
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Yonemori K, Fujiwara K, Hasegawa K, Yunokawa M, Ushijima K, Suzuki S, Shikama A, Minobe S, Usami T, Kim JW, Kim BG, Wang PH, Chang TC, Yamamoto K, Han S, McKenzie J, Barresi G, Miura T, Makker V, Kim Y. 177O Lenvatinib plus pembrolizumab versus treatment of physician’s choice in patients with previously treated advanced endometrial cancer: Study 309/KEYNOTE-775 Asian subgroup. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Matsuda M, Suzuki M, Ajiro Y, Shinozaki T, Sakagami S, Yonezawa K, Shimizu M, Funada J, Takenaka T, Morita Y, Iguchi M, Abe M, Akao M, Hasegawa K, Wada H. Involvement of growth differentiation factor 15 in paradoxical relationship between body mass index and mortality in patients with suspected or known coronary artery disease; The ANOX Study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.2391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Obesity is a well-established risk factor for type 2 diabetes mellitus, hypertension and dyslipidemia, leading to coronary artery disease (CAD). Nevertheless, body mass index (BMI) is inversely associated with cardiovascular (CV) mortality in patients with cardiac disorders, termed “obesity paradox”. However, the underlying mechanism remains unclear.
Purpose
To clarify important factors involved in the pathogenesis of obesity paradox.
Methods
Using data from a multicenter, prospective cohort of 2,418 patients with suspected or known CAD enrolled in the ANOX study, we assessed the relationship between BMI at baseline and the incidence of CV death over 3 years, and investigated the involvement of several endocrine factors which were previously reported to have some roles in obesity and heart diseases, such as adiponectin, N-terminal pro-brain natriuretic peptide (NT-proBNP) and growth differentiation factor 15 (GDF-15), in the relationship between BMI and CV death.
Results
In Kaplan-Meier analyses, the lower quartiles of BMI and the higher quartiles of adiponectin levels were paradoxically associated with the higher cumulative incidence of CV death. To clarify the important factors involved in the paradoxical association between BMI or adiponectin and mortality, we first investigated independent determinants for BMI and adiponectin levels respectively, using multiple stepwise regression analyses among many clinical factors, and then narrow down the prognostic factors commonly associated with BMI and adiponectin, which were age, hemoglobin and NT-proBNP. Interestingly, circulating levels of GDF15 were significantly correlated with NT-proBNP levels, and the presence of anemia raised the gradient of the correlation line in a scatter plot (without anemia, r=0.139, p<0.0001; with anemia, r=0.228, p<0.0001). Moreover, the highest GDF15 quartile showed significantly lower BMI and higher adiponectin levels compared to the lower quartiles (p<0.001 and p<0.001, respectively, by Student t-test). In Cox proportional hazard models, hazard ratios (HRs) of BMI (per 1-unit increase) were 0.90 (95% confidence interval [CI], 0.85–0.96) for CV death. Additional adjustment for hemoglobin, NT-proBNP, adiponectin or GDF15 diminished the statistical significance (HR, 0.92 [95% CI, 0.87–0.99], 0.95 [0.89–1.01], 0.92 [0.87–0.99], or 0.93 [0.87–0.99], respectively).
Conclusions
The lower BMI and the higher adiponectin levels were paradoxically associated with the higher incidence of CV death in patients with CAD. This paradox may be mediated by cardiac endocrine factors induced by cardiac stresses, including GDF-15 in addition to natriuretic peptides.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.
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Iguchi M, Masunaga N, Ishii M, Fujino A, Ide Y, Hamatani Y, Yoshizawa T, Doi K, Ikeda S, Esato M, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. Association of beta blocker use with new-onset heart failure and mortality in atrial fibrillation without pre-existing heart failure: the Fushimi AF registry. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Heart failure (HF) is one of the major complications in atrial fibrillation (AF). We previously reported that not a few AF patients without pre-existing HF (defined as prior HF hospitalization, New York Heart Association functional class≥2, or left ventricular ejection fraction (LVEF)<40%) subsequently developed new-onset HF. Beta blockers are the established therapy for HF, but it remains unclear whether beta blockers prevent new-onset HF and improve outcomes in AF patients without preexisting HF.
Methods
In the Fushimi AF registry, 778 of 3,262 patients without pre-existing HF were receiving beta blockers at baseline. We investigated the incidence of new-onset HF defined as cardiac death or HF hospitalization, and all-cause death in a propensity-matched cohort (N=1,198; mean age, 71 years; 39% female; mean LVEF, 66%). Additionally, annual follow-up prescription data before the onset of events were collected in 294 of patients with beta blockers and 395 of those without beta blockers. We also investigated the association of starting or stopping beta blockers with the incidence of new-onset HF and all-cause death.
Results
During the median follow-up of 5.8 years, new-onset HF and all-cause death occurred in 77 (12.9%) and 118 (19.7%) of patients with beta blockers, and 70 (11.7%) and 131 (21.9%) of those without beta blockers, respectively. Incidence of new-onset HF was comparable between patients with and without beta blockers (Figure 1), and incidence of all-cause death was also comparable between the two groups (Figure 2). In exploratory subgroup analyses, there was no interaction in the association of beta blockers with the incidence of events, except for pulse rate for new-onset HF and left atrial size for all-cause death. Hazard ratio of beta blockers for new-onset HF tended to be lower in patients with higher pulse rates (>84 bpm) (Figure 1), and that for all-cause death was lower in those without left atrial enlargement (Figure 2). Of patients with follow-up prescription data, beta blockers were stopped in 55 (18.7%) and started in 97 (24.6%) patients, respectively. Patients with starting beta blockers had higher pulse rate (78.5±17.3 vs 74.9±13.9 bpm; p=0.03) and more symptomatic AF (58.8% vs 46.0%; p=0.03) compared to those without starting beta blockers, while there was no difference in baseline characteristics between those with and without stopping beta blockers. During the follow-up, the incidences of new-onset HF and all-cause death were also comparable between the patients with and without stopping beta blockers and those with and without starting beta blockers.
Conclusion
Beta blockers were not associated with the incidence of new-onset HF and all-cause death in AF patients without pre-existing HF. However, the exploratory subgroup analyses suggested the existence of subjects who may benefit from beta blockers.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): Boehringer Ingelheim, Bayer Healthcare, Pfizer, Bristol-Myers Squibb, Astellas Pharma, AstraZeneca, Daiichi Sankyo, Novartis Pharma, MSD, Sanofi-Aventis, and Takeda Pharmaceutical.
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Harano N, Liang LW, Hasegawa K, Maurer MS, Tower-Rader A, Fifer MA, Reilly MP, Shimada YJ. Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using proteomics profiling. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Hypertrophic cardiomyopathy (HCM) is one of the most common genetic cardiac disorders and affects 1 in 200–500 individuals. HCM is known to be heterogeneous. Approximately 20–30% of patients with HCM develop atrial fibrillation (AF), which can lead to stroke and worsening of heart failure symptoms. As AF increases the risk of stroke by 8-fold, AF in HCM is a Class 1 indication for anticoagulation. Despite its high prevalence and clinical importance of early AF detection, there are no risk stratification tools available to predict new-onset AF in patients with HCM. Furthermore, it is still unknown which signaling pathways mediate AF in HCM. Proteomics profiling can determine concentrations of thousands of proteins and potentially reveal underlying molecular mechanisms of disease progression.
Purpose
To develop plasma proteomics-based model to predict new-onset AF in patients with HCM and to determine signaling pathways dysregulated in those who subsequently develop AF.
Methods
In this prospective, multi-center cohort study, we conducted plasma proteomics profiling of 5,032 proteins on 397 patients with HCM. We developed a proteomics-based random forest machine learning model to predict new-onset AF using samples from one institution (training set, n=278). We tested the predictive ability of the model using independent samples from the other institution (test set, n=119). We estimated the hazard ratio for new-onset AF using a Cox proportional hazards model comparing high- and low-risk groups as determined by the proteomics-based model. We also performed pathway analysis of proteins significantly (i.e., univariable P<0.05) associated with new-onset AF using a false discovery rate (FDR) threshold of 0.05.
Results
A total of 15 patients in the training set (5.4%) and 7 in the test set (5.9%) developed new-onset AF. Using the proteomics-based model developed in the training set, the area under the receiver-operating characteristic (ROC) curve to predict new-onset AF was 0.87 (95% confidence interval [CI] 0.77–0.98; Figure) in the test set. The sensitivity was 0.86 (95% CI 0.42–0.99) and the specificity was 0.77 (95% CI 0.68–0.84). In the test set, patients categorized as high-risk based on the proteomics model had a significantly higher rate of developing new-onset AF (hazard ratio 8.18; 95% CI 1.55–43.20; P=0.01). Pathway analysis revealed that the Ras-MAPK pathway was dysregulated in patients who subsequently developed AF (FDR=0.01; Table). Pathways involved in inflammation were also dysregulated.
Conclusions
This study serves as the first to demonstrate the ability of proteomics profiling to predict new-onset AF in patients with HCM, exhibiting dysregulation of both novel (e.g., Ras-MAPK) and known pathways in patients who subsequently experience AF. These results not only exhibit the utility of proteomics profiling for clinical risk stratification but also suggest mechanisms underlying the development of AF in HCM.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH/NHLBI
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Iguchi M, Wada H, Shinozaki T, Suzuki M, Ajiro Y, Matsuda M, Koike A, Koizumi T, Shimizu M, Ono Y, Takenaka T, Kotani K, Abe M, Akao M, Hasegawa K. Vascular endothelial factor C and D in patients with heart failure with preserved, mildly reduced, and reduced ejection fraction: the PREHOSP-CHF study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The lymphatic system has been suggested to play an important role in cardiovascular diseases including heart failure (HF). Vascular endothelial growth factor C (VEGF-C) and D (VEGF-D) are key regulators of lymphangiogenesis, and we recently reported the association of low VEGF-C with the risk of all-cause death and high VEGF-D with the risk of HF hospitalization in patients with HF.
Purpose
To investigate the association of VEGF-C and VEGF-D with prognosis in patients with HF with preserved ejection fraction (EF) (HFpEF: EF≥50%), mildly reduced EF (HFmrEF: EF, 40–49%), and reduced EF (HFrEF: EF<40%).
Methods
The PREHOSP-CHF study is a multicenter prospective cohort study to determine the predictive value of angiogenesis-related biomarkers in HF. A total of 1,024 patients (mean age 75.5±12.6 years; 58.7% male) admitted to acute decompensated HF were included in the analyses. Serum levels of VEGF-C and VEGF-D, as well as N-terminal pro B-type natriuretic peptide (NT-proBNP), high sensitivity cardiac troponin-I (hs-cTnI), high sensitivity C reactive protein, were measured at the time of discharge. Patients were followed-up over two years.
Results
The numbers of HFpEF, HFmrEF, and HFrEF were 429 (41.9%), 186 (18.2%), and 409 (39.9%), respectively. HFpEF patients were older, more likely to be female, and had more hypertension, atrial fibrillation, and anemia, but less coronary artery disease. NT-proBNP and hs-cTnI levels increased with decreasing EF. VEGF-C levels decreased with increasing EF (median [interquartile range]: HFpEF, 4508 [3318–5919] pg/ml; HFmrEF, 4719 [3663–6203] pg/ml; HFrEF, 5023 [3804–6382] pg/ml), whereas VEGF-D levels were comparable among the three EF groups (HFpEF, 404.6 [293.1–560.3] pg/ml; HFmrEF, 386.0 [298.5–556.3] pg/ml; HFrEF, 414.2 [296.1–557.3] pg/ml). In multivariate stepwise logistic regression analyses, anemia and high NT-proBNP were independently associated with low VEGF-C levels, and high NT-proBNP was independently associated with high VEGF-D levels, across all the EF groups. During the follow-up, incidences of all-cause death and HF hospitalizations were similar among the three EF groups (log-rank P=0.6 for all-cause death, and log-rank P=0.3 for HF hospitalization). On multivariate Cox proportional hazard analyses including established risk factors and cardiovascular biomarkers, VEGF-C levels tended to be inversely associated with the incidence of all-cause death in patients with HFpEF and HFrEF (Figure). On the contrary, VEGF-D levels were significantly and positively associated with the incidence of HF hospitalization in patients with HFpEF, and tended to be positively associated with it in patients with HFmrEF and HFrEF (Figure).
Conclusions
Low VEGF-C was associated with the risk of all-cause death in patients with HFpEF and HFrEF, while high VEGF-D was associated with the risk of HF hospitalization especially in HFpEF.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Grant-in-Aid for Clinical Research from the National Hospital Organization
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Masunaga N, Ogawa H, Ikeda S, Doi K, Yoshizawa T, Hamatani Y, Ide Y, Fujino A, Ishii M, Iguchi M, Esato M, Wada H, Hasegawa K, Abe M, Akao M. Clinical characteristics and outcomes of atrial fibrillation patients with peripheral artery disease: the Fushimi AF Registry. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) represents the common arrhythmia and increases the risk of thromboembolism. Risk assessment for thromboembolism is important for the management of AF patients. Peripheral artery disease (PAD) is identified as a risk factor for thromboembolism in CHA2DS2-VASc score. However, there are little data on clinical characteristics and cardiovascular events of AF patients with PAD.
Purpose
In this study, we investigated the clinical characteristics and outcomes of AF patients with PAD.
Methods
The Fushimi AF Registry, a community-based prospective survey, was designed to enroll all of the AF patients who visited the participating medical institutions in Fushimi-ku, Kyoto, Japan. The inclusion criterion of the registry is the documentation of AF at 12-lead electrocardiogram or Holter monitoring at any time, and there are no exclusion criteria. We started to enroll patients from March 2011 and follow up data including prescription status were available in 4,464 patients from March 2011 to August 2021. Median follow-up period was 1,848 days.
Results
Of 4,464 patients, 183 patients had PAD (4.1%; PAD group). The mean age was higher in PAD group than no-PAD group (PAD group vs. no-PAD group: 76.7 vs. 73.5; p<0.01). Patients with PAD had more co-morbidities such as stroke, systemic embolism, congestive heart failure, hypertension, diabetes mellitus, dyslipidemia coronary artery disease and chronic kidney disease than those without PAD. Thus, CHADS2 score, CHA2DS2-VASc score and HAS-BLED score were higher in PAD group than no-PAD group (2.81 vs. 2.00; p<0.01, 5.17 vs. 3.30; p<0.01, 2.42 vs. 1.71; p<0.01, respectively). The proportion of patients with oral anticoagulant was similar between the two groups and the proportion of patients with antiplatelet drug was higher in PAD group than no-PAD group (59.0% vs. 55.6%; p=0.36, 62.9% vs. 24.7%; p<0.01, respectively). The incidences of all-cause death, cardiac death and myocardial infarction were higher in PAD group than no-PAD group (11.4 vs. 4.6 per 100 person-years; log-rank p<0.01, 1.7 vs. 0.8 per 100 person-years; log-rank p<0.01, 1.2 vs. 0.2 per 100 person-years; log-rank p<0.01). However, the incidence of stroke or systemic embolism was similar between the two groups (2.9 vs. 2.2 per 100 person-years, log-rank p=0.19). Finally, the incidence of composite of cardiac death, stroke, systemic embolism or myocardial infarction was higher in PAD group than no-PAD group (6.0 vs. 3.0 per 100 person-years; log-rank p<0.01).
Conclusion
AF patients with PAD had significantly higher risk for death and cardiac events, whereas the incidence of thromboembolism was similar between AF patients with and without PAD.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Japan Agency for Medical Research and Development
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Wada H, Shinozaki T, Suzuki M, Sakagami S, Ajiro Y, Funada J, Matsuda M, Shimizu M, Takenaka T, Morita Y, Wada K, Kotani K, Abe M, Akao M, Hasegawa K. Associations of soluble fms-like tyrosine kinase-1 with cardiovascular events and stroke in patients with atrial fibrillation and suspected or known coronary artery disease: the EXCEED-J study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) increases the risk of stroke. Soluble fms-like tyrosine kinase-1 (sFlt-1), a vascular endothelial growth factor (VEGF) antagonist, has been suggested as a marker of endothelial dysfunction, which are associated with both AF and coronary artery disease (CAD). Recently, we demonstrated that sFlt-1 is independently associated with major adverse cardiovascular (CV) events (MACE) in patients with suspected or known CAD. However, the prognostic utility of sFlt-1 in patients with AF remains unknown.
Methods
Using data from a multicenter, prospective cohort of 3255 patients with suspected or known CAD, we investigated whether AF modifies the prognostic utility of sFlt-1. Heparin-free serum levels of sFlt-1, N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin-I, high-sensitivity C-reactive protein, cystatin C, neutrophil gelatinase-associated lipocalin, VEGF, and placental growth factor were measured in 324 patients with AF and 2931 patients without AF. The primary outcome was MACE defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke. The secondary outcomes were all-cause death, CV death, stroke, heart failure (HF) hospitalization, and coronary/peripheral artery revascularization. The biomarkers were natural log-transformed for use as continuous variables.
Results
After adjustment for potential clinical confounders including anticoagulant drug use, sFlt-1 was significantly associated with MACE (hazard ratio for 1 standard deviation increase [HR], 1.55; 95% confidence interval [CI], 1.14–2.08), CV death (HR, 1.68; 95% CI, 1.10–2.48), and stroke (HR, 1.89; 95% CI, 1.16–3.10), but not with all-cause death (HR, 1.32; 95% CI, 0.99–1.73), HF hospitalization (HR, 0.97; 95% CI, 0.73–1.25), or revascularization (HR, 0.99; 95% CI, 0.74–1.28) in patients with AF, whereas sFlt-1 was significantly associated with MACE (HR, 1.19; 95% CI, 1.02–1.37), all-cause death (HR, 1.19; 95% CI, 1.05–1.34), CV death (HR, 1.26; 95% CI, 1.03–1.48), and HF hospitalization (HR, 1.26; 95% CI, 1.11–1.42), but not with stroke (HR, 1.06; 95% CI, 0.81–1.33) or revascularization (HR, 1.01; 95% CI, 0.95–1.07) in patients without AF. Among other biomarkers, only VEGF was significantly associated with MACE (HR, 1.55; 95% CI, 1.02–2.44), and no biomarkers were significantly associated with CV death or stroke in patients with AF. sFlt-1 added incremental prognostic information for MACE (P=0.005 for net reclassification improvement [NRI], P=0.026 for integrated discrimination improvement [IDI]) and stroke (P=0.034 for NRI, P=0.018 for IDI), but not for CV death (P=0.021 for NRI, P=0.134 for IDI), to the model with potential clinical confounders in patients with AF.
Conclusions
sFlt-1 independently predicted MACE and stroke in patients with AF and suspected or known CAD. sFlt-1 may serve as a novel prognostic biomarker to stratify the risk of MACE and stroke in patients with AF.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Health Labour Sciences Research Grant (2013-2014), AMED (2015-2017, Grant Number JP17ek0210008)
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Lumish H, Liang LW, Hasegawa K, Maurer M, Tower-Rader A, Fifer MA, Reilly MP, Shimada YJ. Prediction of worsening heart failure in patients with hypertrophic cardiomyopathy using plasma proteomics profiling. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
While hypertrophic cardiomyopathy (HCM) is the most common genetic cardiovascular disease affecting 1 in 200–500 people, it is a heterogeneous disease. Only a subset of patients with HCM develop heart failure (HF; prevalence 35–50%). Prediction of worsening HF using clinical measures alone (e.g., cardiac imaging, genetic testing) remains limited. Furthermore, the underlying mechanism by which patients with HCM develop worsening HF has not been fully investigated. Proteomics profiling measures concentrations of thousands of proteins simultaneously and has been used to predict worsening of HF and to highlight which signaling pathways mediate worsening HF in non-HCM populations.
Purpose
In patients with HCM, we aimed to develop a plasma proteomics-based model to predict which patients with HCM would develop worsening HF and to identify signaling pathways that are differentially regulated in those who subsequently develop worsening HF.
Methods
We conducted a prospective cohort study in our multi-center biorepository of patients with HCM. We performed plasma proteomics profiling of 5032 proteins. We then developed a random forest model to predict worsening HF using proteomics profiling data from patients enrolled through one institution (training set). The outcome of worsening HF was defined as an increase in New York Heart Association functional class by at least 1 class. We externally validated this model in independent samples from patients enrolled through a different institution (test set). Further, we executed pathway analysis of proteins significantly dysregulated (i.e., univariable p<0.05) in patients who developed worsening HF compared to those who did not. Pathways with false discovery rate [FDR]<0.05 were considered to be dysregulated.
Results
There were 398 patients included in the study, with 278 in the training set and 120 in the test set. During a median follow-up of 1.8 years [interquartile range, 1.2–2.6], 60 (15%) patients developed worsening HF symptoms (45 patients in the training set and 15 patients in the test set). Using the proteomics-based model derived from the training set, the area under the receiver-operating-characteristic curve to predict worsening HF was 0.85 (95% confidence interval: 0.75–0.95) in the test set (Figure 1). Pathway analysis revealed that the Ras-MAPK pathway (FDR<0.00001) and its upstream PI3K-Akt pathway (FDR<0.00001) were dysregulated in patients who subsequently developed worsening HF (Figure 2).
Conclusions
Our study is the first to apply proteomics profiling to the prediction of worsening HF symptoms in patients with HCM, identifying patients who are at high risk of worsening HF and elucidating that the Ras-MAPK and related signaling pathways as potential underlying mechanisms. These findings support the potential application of proteomics profiling to clinical risk stratification and the investigation of signaling pathways underlying disease progression in HCM.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH/NHLBI R01 grant
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Suzuki M, Kotani K, Matsuda M, Ajiro Y, Shinozaki T, Sakagami S, Yonezawa K, Shimizu M, Funada J, Takenaka T, Wada M, Abe M, Akao M, Hasegawa K, Wada H. Serum amyloid A-low-density-lipoprotein complex and mortality in patients with suspected or known coronary artery disease: the ANOX study. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Serum amyloid A-low-density-lipoprotein (SAA-LDL) is a complex formed from the oxidative interaction between SAA and LDLs. A relatively small-scale study has shown that circulating SAA-LDL levels may serve as a prognostic marker in patients with stable coronary artery disease (CAD). However, the prognostic value of SAA-LDL should be confirmed in a larger-scale cohort study.
Methods
Using data from a multicenter, prospective cohort of 2416 patients with suspected or known CAD enrolled in the ANOX (Development of Novel Biomarkers Related to Angiogenesis or Oxidative Stress to Predict Cardiovascular Events) study, we assessed the prognostic value of serum levels of SAA-LDL. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. Patients were followed up over 3 years.
Results
Stepwise regression analysis including baseline data on potential clinical confounders (i.e., age, sex, body mass index, hypertension, dyslipidemia, diabetes, current smoking, estimated glomerular filtration rate, the Gensini score, previous myocardial infarction, previous stroke, previous heart failure hospitalization, atrial fibrillation, malignancies, anemia, antihypertensive drug use, statin use, and aspirin use) and established cardiovascular biomarkers (i.e., N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin I [hs-cTnI], and high-sensitivity C-reactive protein [hs-CRP]) revealed that independent determinants of SAA-LDL levels were female sex, dyslipidemia, the Gensini score, absence of statin use, hs-cTnI, and hs-CRP. After adjusting for potential clinical confounders and established cardiovascular biomarkers, the highest quartile of SAA-LDL levels (vs. the lowest quartile) was significantly associated with the incidence of all-cause death (hazard ratio [HR], 1.51; 95% confidence interval [CI], 1.02–2.26), but not with that of cardiovascular death (HR, 1.11; 95% CI, 0.59–2.10) or MACE (HR, 1.57; 95% CI, 0.97–2.57). Stratified analyses revealed that this association was pronounced in patients with low hs-cTnI (<75th percentile) (HR, 1.85; 95% CI, 1.06–3.30) and in patients with low hs-CRP levels (≤1.0 mg/L) (HR, 2.30; 95% CI, 1.17–4.79).
Conclusions
Elevated SAA-LDL levels were independently associated with the risk of all-cause death in patients with suspected or known CAD. The SAA-LDL level appears to serve as a prognostic biomarker for risk stratification in relatively low-risk patients with low hs-cTnI (<75th percentile) or low hs-CRP (≤1.0 mg/L).
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.
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Hamatani Y, Iguchi M, Minami K, Ishigami K, Ikeda S, Doi K, Yoshizawa T, Masunaga N, Esato M, Tsuji H, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. The association of left ventricular ejection fraction with incident heart failure in patients with atrial fibrillation. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Atrial fibrillation (AF) increases the risk of incident heart failure (HF). Left ventricular ejection fraction (LVEF) is an important prognostic parameter in patients with HF. However, little is known regarding the association of LVEF with incident HF in patients with AF.
Purpose
The aim of this study is to investigate the relationship between LVEF at enrollment and incidence of HF hospitalization during follow-up period in patients with AF.
Methods
The Fushimi AF Registry is a community-based prospective survey of patients with AF in Fushimi-ku, Kyoto, Japan. The inclusion criterion of the registry is the documentation of AF at 12-lead electrocardiogram or Holter monitoring at any time, and there are no exclusion criteria. We started to enroll patients from March 2011, and follow-up data were available for 4,489 patients by the end of August 2021. In the present study, we investigated 3,544 patients with the data of LVEF at enrollment. We divided the patients into 4 groups stratified by LVEF (reduced LVEF [LVEF <40%], mildly reduced LVEF [LVEF: 40–49%], slightly reduced LVEF [LVEF: 50–59%], and normal LVEF [LVEF ≥60%]), and compared the backgrounds and outcomes between these 4 groups.
Results
Of 3,544 patients, the mean age was 73.6±10.7 years, 1,420 (40%) were female, 1,781 (50%) were paroxysmal AF, and 1,085 (30%) had pre-existing HF. The mean CHADS2 and CHA2DS2-VASc scores were 2.1±1.3 and 3.4±1.7, respectively. The mean LVEF at enrollment was 63±12% (reduced LVEF: 197 [6%], mildly reduced LVEF: 250 [7%], slightly reduced LVEF: 532 [15%] and normal LVEF: 2,565 [72%], respectively). Patients with lower LVEF demonstrated lower prevalence of female and paroxysmal AF, and had a higher CHADS2 and CHA2DS2-VASc scores (all P<0.01). A total of 605 patients were hospitalized for HF during the median follow-up period of 5.5 years, corresponding to an annual incidence of 3.4% per person-year. Kaplan-Meier curves demonstrated that LVEF at enrollment could stratify the incidence of HF hospitalization during follow-up in patients with AF (Picture 1). Multivariable Cox regression analysis revealed that lower LVEF strata were significantly associated with the increased risk of HF hospitalization even after adjustment by age, sex, type of AF and CHA2DS2-VASc score (Picture 1). An increased risk of HF hospitalization was observed even in patients with mildly reduced LVEF (adjusted hazard ratio: 2.56, 95% CI: 1.99–3.29) as well as in those with slightly reduced LVEF (adjusted hazard ratio: 1.79, 95% CI: 1.45–2.22) compared with those with normal LVEF. These results were also the case in AF patients without pre-existing HF (Picture 2).
Conclusion
LVEF at enrollment could stratify the incidence of HF hospitalization in patients with AF, suggesting the importance of measuring LVEF in all patients with AF. Even mildly (LVEF: 40–49%) or slightly (LVEF: 50–59%) reduced LVEF was independently associated with the risk of incident HF in patients with AF.
Funding Acknowledgement
Type of funding sources: None.
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Lee C, Liang LW, Hasegawa K, Maurer MS, Tower-Rader A, Fifer MA, Reilly MP, Shimada YJ. Proteomics profiling reveals signaling pathways associated with major adverse cardiovascular events in patients with hypertrophic cardiomyopathy. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiomyopathy affecting 1 in 200–500 people in the US. It is characterized by a diverse clinical course, and only a subset of patients with HCM experience major adverse cardiovascular events (MACE) such as arrhythmias (e.g., ventricular tachycardia/fibrillation [VT/VF], atrial fibrillation [AF]), stroke, and heart failure. However, the molecular mechanisms underlying the presence of MACE in HCM are still not well understood.
Purpose
Our aim was to reveal signaling pathways associated with prior MACE in patients with HCM by applying plasma proteomics profiling.
Methods
We conducted a multicenter case-control study of patients with HCM comparing those with and without a prior history of MACE. We performed plasma proteomics profiling of 5032 proteins. We defined prior MACE as a composite outcome of sustained VT/VF, AF, stroke/transient ischemic attack, left ventricular ejection fraction ≤50%, New York Heart Association functional class ≥2 symptoms, resuscitated cardiac arrest, or appropriate implantable cardioverter defibrillator therapy. We applied the random forest method to derive a proteomics-based discrimination model developed in patients enrolled at one institution (training set) and externally validated the model on patients enrolled at another institution (test set). We then performed pathway analysis of proteins differentially regulated in patients with prior MACE. Pathways with a false discovery rate (FDR) <0.05 with at least 5 associated proteins were declared positive.
Results
A total of 396 patients were included, with 278 in the training set and 118 in the test set. In this cohort, 251 (63%) patients had prior MACE (171 in the training set and 80 in the test set). Using the proteomics-based model derived from the training set, the area under the receiver operating characteristic curve was 0.81 (95% CI 0.73–0.88) in the test set (Figure 1). There were 632 differentially expressed proteins (univariable p<0.05). Pathway analysis identified significantly dysregulated pathways in patients with prior MACE (Figure 2). This included both pathways known to be associated with MACE (e.g., TGF-β [FDR=0.03]) and novel pathways (e.g., Ras-MAPK [FDR=0.01] and its upstream PI3K-Akt [FDR=7.7x10–7] pathways). Pathways involved in cellular metabolism/proliferation (e.g., HIF 1 [FDR=0.01] and Wnt [FDR=0.04] pathways) and inflammation (e.g., complement and coagulation cascades [FDR=2.7x10–21], cytokine-cytokine receptor interaction [FDR=8.1x10–16]) were also significantly dysregulated.
Conclusions
Our study in patients with HCM reveals that those with a prior history of MACE have a distinctive plasma proteomics profile. We further identified both previously known and novel pathways dysregulated in this subset with a more severe form of HCM. Our findings may aid in development of targeted therapies for the prevention of MACE in HCM.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): R01 HL157216
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Zhang Y, Li S, Uenaka T, Furuuchi K, Yonemori K, Shimizu T, Nishio S, Yunokawa M, Matsumoto K, Takehara K, Hasegawa K, Hirashima Y, Kato H, Otake Y, Miura T, Matsui J. Phase I Biomarker Analysis Results of MORAb-202 (Farletuzumab Ecteribulin) Effects on Vascular Remodeling and Immune Modulation in Patients With Ovarian Cancer. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)01032-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Inoue A, Hata A, Fifer S, Hasegawa K, Ando E, Takahashi M, Ordman R, Kasahara-Kiritani M. EP10.01-003 Non-Small Cell Lung Cancer Treatment Preferences Among EGFR Mutation Patients and Physicians in Japan. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Freyer G, Gonzalez Martin A, Raspagliesi F, Peron J, Van Nieuwenhuysen E, Hasegawa K, Lim MC, Ray-Coquard I. 615TiP NIRVANA-1: A multicentre randomized study comparing carboplatin-paclitaxel (CP) followed by niraparib (nira) to CP–bevacizumab (bev) followed by nira-bev in patients with FIGO stage III ovarian high-grade epithelial cancer and no residual disease after upfront surgery. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Wijaya S, Tan T, Ngoi N, Yabuno A, Takehara K, Nakazawa H, Hirasawa T, Fujiwara H, Yasuda M, Jan YH, Chen SJ, Huang RJ, Fujiwara K, Hasegawa K, Tan D. 577P Impact of homologous recombination deficiency (HRD) on outcomes with intraperitoneal (IP) and intravenous (IV) chemotherapy in ovarian cancer: Analyses from the translational iPocc study (TriPocc). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Arita J, Kiritani S, Ichida A, Kawaguchi Y, Akamatsu N, Kaneko J, Hasegawa K. 497P Prognostic impact of venous and lymphatic invasion of pancreatic neuroendocrine neoplasm in patients undergoing resection. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Kawaguchi Y, Kita R, Kimura T, Goto R, Takayama T, Izumi N, Kudo M, Kaneko S, Yamanaka N, Inomata M, Shimada M, Baba H, Koike K, Omata M, Makuuchi M, Matsuyama Y, Yamada Y, Kokudo N, Hasegawa K. 723P Medical expenditures and treatment efficacy of patients who had initial hepatocellular carcinoma and underwent surgery or radiofrequency ablation: Accompanying research of the SURF trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Fujiwara K, Nishio S, Yamamoto K, Fujiwara H, Itagaki H, Nagai T, Takano H, Yamaguchi S, Kudoh A, Suzuki Y, Nakamoto T, Kamio M, Kato K, Nakamura K, Takehara K, Yahata H, Kobayashi H, Saito M, Ushijima K, Hasegawa K. LBA31 Randomized phase III trial of maintenance chemotherapy with tegafur-uracil versus observation following concurrent chemoradiotherapy for locally advanced cervical cancer, GOTIC-002 LUFT trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Abbott R, Abe H, Acernese F, Ackley K, Adhikari N, Adhikari R, Adkins V, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Alfaidi R, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrés-Carcasona M, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Apostolatos T, Appavuravther E, Appert S, Apple S, Arai K, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Arogeti M, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Melo SADS, Aston S, Astone P, Aubin F, AultONeal K, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baird J, Bajpai R, Baka T, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Banerjee B, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Basak S, Bassiri R, Basti A, Bawaj M, Bayley J, Mills J, Milotti E, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishkin A, Mishra C, Mishra T, Mistry T, Bazzan M, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyo K, Miyoki S, Mo G, Modafferi L, Moguel E, Becher B, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moragues J, Moraru D, Bécsy B, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Morisue N, Moriwaki Y, Mours B, Mow-Lowry C, Bedakihale V, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Beirnaert F, Muñiz E, Murray P, Musenich R, Muusse S, Nadji S, Nagano K, Nagar A, Nakamura K, Nakano H, Nakano M, Bejger M, Nakayama Y, Napolano V, Nardecchia I, Narikawa T, Narola H, Naticchioni L, Nayak B, Nayak R, Neil B, Neilson J, Belahcene I, Nelson A, Nelson T, Nery M, Neubauer P, Neunzert A, Ng K, Ng S, Nguyen C, Nguyen P, Nguyen T, Benedetto V, Quynh LN, Ni J, Ni WT, Nichols S, Nishimoto T, Nishizawa A, Nissanke S, Nitoglia E, Nocera F, Norman M, Beniwal D, North C, Nozaki S, Nurbek G, Nuttall L, Obayashi Y, Oberling J, O’Brien B, O’Dell J, Oelker E, Ogaki W, Benjamin M, Oganesyan G, Oh J, Oh K, Oh S, Ohashi M, Ohashi T, Ohkawa M, Ohme F, Ohta H, Okada M, Bennett T, Okutani Y, Olivetto C, Oohara K, Oram R, O’Reilly B, Ormiston R, Ormsby N, O’Shaughnessy R, O’Shea E, Oshino S, Bentley J, Ossokine S, Osthelder C, Otabe S, Ottaway D, Overmier H, Pace A, Pagano G, Pagano R, Page M, Pagliaroli G, BenYaala M, Pai A, Pai S, Pal S, Palamos J, Palashov O, Palomba C, Pan H, Pan KC, Panda P, Pang P, Bera S, Pankow C, Pannarale F, Pant B, Panther F, Paoletti F, Paoli A, Paolone A, Pappas G, Parisi A, Park H, Berbel M, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron A, Bergamin F, Paul S, Payne E, Pedraza M, Pedurand R, Pegoraro M, Pele A, Arellano FP, Penano S, Penn S, Perego A, Berger B, Pereira A, Pereira T, Perez C, Périgois C, Perkins C, Perreca A, Perriès S, Pesios D, Petermann J, Petterson D, Bernuzzi S, Pfeiffer H, Pham H, Pham K, Phukon K, Phurailatpam H, Piccinni O, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Bersanetti D, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pineda-Bosque C, Pinto I, Pinto M, Piotrzkowski B, Piotrzkowski K, Bertolini A, Pirello M, Pitkin M, Placidi A, Placidi E, Planas M, Plastino W, Pluchar C, Poggiani R, Polini E, Pong D, Betzwieser J, Ponrathnam S, Porter E, Poulton R, Poverman A, Powell J, Pracchia M, Pradier T, Prajapati A, Prasai K, Prasanna R, Beveridge D, Pratten G, Principe M, Prodi G, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Bhandare R, Pürrer M, Qi H, Quartey N, Quetschke V, Quinonez P, Quitzow-James R, Raab F, Raaijmakers G, Radkins H, Radulesco N, Bhandari A, Raffai P, Rail S, Raja S, Rajan C, Ramirez K, Ramirez T, Ramos-Buades A, Rana J, Rapagnani P, Ray A, Bhardwaj U, Raymond V, Raza N, Razzano M, Read J, Rees L, Regimbau T, Rei L, Reid S, Reid S, Reitze D, Bhatt R, Relton P, Renzini A, Rettegno P, Revenu B, Reza A, Rezac M, Ricci F, Richards D, Richardson J, Richardson L, Bhattacharjee D, Riemenschneider G, Riles K, Rinaldi S, Rink K, Robertson N, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Bhaumik S, Rollins J, Romanelli M, Romano R, Romel C, Romero A, Romero-Shaw I, Romie J, Ronchini S, Rosa L, Rose C, Bianchi A, Rosińska D, Ross M, Rowan S, Rowlinson S, Roy S, Roy S, Rozza D, Ruggi P, Ruiz-Rocha K, Ryan K, Bilenko I, Sachdev S, Sadecki T, Sadiq J, Saha S, Saito Y, Sakai K, Sakellariadou M, Sakon S, Salafia O, Salces-Carcoba F, Billingsley G, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez E, Sanchez J, Sanchez L, Sanchis-Gual N, Sanders J, Sanuy A, Bini S, Saravanan T, Sarin N, Sassolas B, Satari H, Sauter O, Savage R, Savant V, Sawada T, Sawant H, Sayah S, Birney R, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield R, Schönbeck A, Birnholtz O, Schulte B, Schutz B, Schwartz E, Scott J, Scott S, Seglar-Arroyo M, Sekiguchi Y, Sellers D, Sengupta A, Sentenac D, Biscans S, Seo E, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar M, Shaikh M, Shams B, Shao L, Sharma A, Bischi M, Sharma P, Shawhan P, Shcheblanov N, Sheela A, Shikano Y, Shikauchi M, Shimizu H, Shimode K, Shinkai H, Shishido T, Biscoveanu S, Shoda A, Shoemaker D, Shoemaker D, ShyamSundar S, Sieniawska M, Sigg D, Silenzi L, Singer L, Singh D, Singh M, Bisht A, Singh N, Singha A, Sintes A, Sipala V, Skliris V, Slagmolen B, Slaven-Blair T, Smetana J, Smith J, Smith L, Biswas B, Smith R, Soldateschi J, Somala S, Somiya K, Song I, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Bitossi M, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer A, Spera M, Spinicelli P, Srivastava A, Srivastava V, Staats K, Bizouard MA, Stachie C, Stachurski F, Steer D, Steinlechner J, Steinlechner S, Stergioulas N, Stops D, Stover M, Strain K, Strang L, Blackburn J, Stratta G, Strong M, Strunk A, Sturani R, Stuver A, Suchenek M, Sudhagar S, Sudhir V, Sugimoto R, Suh H, Blair C, Sullivan A, Summerscales T, Sun L, Sunil S, Sur A, Suresh J, Sutton P, Suzuki T, Suzuki T, Suzuki T, Blair D, Swinkels B, Szczepańczyk M, Szewczyk P, Tacca M, Tagoshi H, Tait S, Takahashi H, Takahashi R, Takano S, Takeda H, Blair R, Takeda M, Talbot C, Talbot C, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk A, Tanioka S, Tanner D, Tao D, Bobba F, Tao L, Tapia R, Martín ETS, Taranto C, Taruya A, Tasson J, Tenorio R, Terhune J, Terkowski L, Thirugnanasambandam M, Bode N, Thomas M, Thomas P, Thompson E, Thompson J, Thondapu S, Thorne K, Thrane E, Tiwari S, Tiwari S, Tiwari V, Boër M, Toivonen A, Tolley A, Tomaru T, Tomura T, Tonelli M, Tornasi Z, Torres-Forné A, Torrie C, e Melo IT, Töyrä D, Bogaert G, Trapananti A, Travasso F, Traylor G, Trevor M, Tringali M, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau R, Boldrini M, Tsai D, Tsang K, Tsang T, Tsao JS, Tse M, Tso R, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Bolingbroke G, Turbang K, Turconi M, Tuyenbayev D, Ubhi A, Uchikata N, Uchiyama T, Udall R, Ueda A, Uehara T, Ueno K, Bonavena L, Ueshima G, Unnikrishnan C, Urban A, Ushiba T, Utina A, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, Bondu F, van Bakel N, van Beuzekom M, van Dael M, van den Brand J, Van Den Broeck C, Vander-Hyde D, van Haevermaet H, van Heijningen J, van Putten M, van Remortel N, Bonilla E, Vardaro M, Vargas A, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venneberg J, Venugopalan G, Bonnand R, Verkindt D, Verma P, Verma Y, Vermeulen S, Veske D, Vetrano F, Viceré A, Vidyant S, Viets A, Vijaykumar A, Booker P, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vocca H, von Reis E, von Wrangel J, Vorvick C, Vyatchanin S, Wade L, Boom B, Wade M, Wagner K, Walet R, Walker M, Wallace G, Wallace L, Wang J, Wang J, Wang W, Ward R, Bork R, Warner J, Was M, Washimi T, Washington N, Watchi J, Weaver B, Weaving C, Webster S, Weinert M, Weinstein A, Boschi V, Weiss R, Weller C, Weller R, Wellmann F, Wen L, Weßels P, Wette K, Whelan J, White D, Whiting B, Bose N, Whittle C, Wilken D, Williams D, Williams M, Williamson A, Willis J, Willke B, Wilson D, Wipf C, Wlodarczyk T, Bose S, Woan G, Woehler J, Wofford J, Wong D, Wong I, Wright M, Wu C, Wu D, Wu H, Wysocki D, Bossilkov V, Xiao L, Yamada T, Yamamoto H, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang F, Yang K, Yang L, Boudart V, Yang YC, Yang Y, Yang Y, Yap M, Yeeles D, Yeh SW, Yelikar A, Ying M, Yokoyama J, Yokozawa T, Bouffanais Y, Yoo J, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Bozzi A, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhang Y, Zhao C, Zhao G, Bradaschia C, Zhao Y, Zhao Y, Zhou R, Zhou Z, Zhu X, Zhu ZH, Zucker M, Zweizig J, Brady P, Bramley A, Branch A, Branchesi M, Brau J, Breschi M, Briant T, Briggs J, Brillet A, Brinkmann M, Brockill P, Brooks A, Brooks J, Brown D, Brunett S, Bruno G, Bruntz R, Bryant J, Bucci F, Bulik T, Bulten H, Buonanno A, Burtnyk K, Buscicchio R, Buskulic D, Buy C, Byer R, Davies GC, Cabras G, Cabrita R, Cadonati L, Caesar M, Cagnoli G, Cahillane C, Bustillo JC, Callaghan J, Callister T, Calloni E, Cameron J, Camp J, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon K, Cao H, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlassara M, Carlin J, Carney M, Carpinelli M, Carrillo G, Carullo G, Carver T, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan C, Chan K, Chan M, Chandra K, Chang I, Chanial P, Chao S, Chapman-Bird C, Charlton P, Chase E, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chen C, Chen D, Chen H, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong C, Cheung H, Chia H, Chiadini F, Chiang CY, Chiarini G, Chierici R, Chincarini A, Chiofalo M, Chiummo A, Choudhary R, Choudhary S, Christensen N, Chu Q, Chu YK, Chua S, Chung K, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu A, Ciolfi R, Cipriano F, Clara F, Clark J, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen D, Colleoni M, Collette C, Colombo A, Colpi M, Compton C, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corezzi S, Corley K, Cornish N, Corre D, Corsi A, Cortese S, Costa C, Cotesta R, Cottingham R, Coughlin M, Coulon JP, Countryman S, Cousins B, Couvares P, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Criswell A, Croquette M, Crowder S, Cudell J, Cullen T, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall’Osso S, Dálya G, Dana A, D’Angelo B, Danilishin S, D’Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier L, Datta S, Datta S, Dattilo V, Dave I, Davier M, Davis D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Dell’Aquila D, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Michele A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla A, Dmitriev A, Doctor Z, Donahue L, D’Onofrio L, Donovan F, Dooley K, Doravari S, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Dupletsa U, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Evstafyeva T, Ewing B, Fabrizi F, Faedi F, Fafone V, Fair H, Fairhurst S, Fan P, Farah A, Farinon S, Farr B, Farr W, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori A, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Freed J, Frei Z, Freise A, Freitas O, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fujimoto Y, Fulda P, Fyffe M, Gabbard H, Gabella W, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, Núñez CG, García-Quirós C, Garufi F, Gateley B, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh T, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Gkaitatzis S, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Golomb J, Goncharov B, González G, Gosselin M, Gouaty R, Gould D, Goyal S, Grace B, Grado A, Graham V, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson A, Gretarsson E, Griffith D, Griffiths W, Griggs H, Grignani G, Grimaldi A, Grimes E, Grimm S, Grote H, Grunewald S, Gruning P, Gruson A, Guerra D, Guidi G, Guimaraes A, Guixé G, Gulati H, Gunny A, Guo HK, Guo Y, Gupta A, Gupta A, Gupta I, Gupta P, Gupta S, Gustafson R, Guzman F, Ha S, Hadiputrawan I, Haegel L, Haino S, Halim O, Hall E, Hamilton E, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hansen H, Hansen T, Hanson J, Harder T, Haris K, Harms J, Harry G, Harry I, Hartwig D, Hasegawa K, Haskell B, Haster CJ, Hathaway J, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes F, Healy J, Heidmann A, Heidt A, Heintze M, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell A, Hemming G, Hendry M, Heng I, Hennes E, Hennig J, Hennig M, Henshaw C, Hernandez A, Vivanco FH, Heurs M, Hewitt A, Higginbotham S, Hild S, Hill P, Himemoto Y, Hines A, Hirata N, Hirose C, Ho TC, Hochheim S, Hofman D, Hohmann J, Holcomb D, Holland N, Hollows I, Holmes Z, Holt K, Holz D, Hong Q, Hough J, Hourihane S, Howell E, Hoy C, Hoyland D, Hreibi A, Hsieh BH, Hsieh HF, Hsiung C, Hsu Y, Huang HY, Huang P, Huang YC, Huang YJ, Huang Y, Huang Y, Hübner M, Huddart A, Hughey B, Hui D, Hui V, Husa S, Huttner S, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Inayoshi K, Inoue Y, Iosif P, Isi M, Isleif K, Ito K, Itoh Y, Iyer B, JaberianHamedan V, Jacqmin T, Jacquet PE, Jadhav S, Jadhav S, Jain T, James A, Jan A, Jani K, Janquart J, Janssens K, Janthalur N, Jaranowski P, Jariwala D, Jaume R, Jenkins A, Jenner K, Jeon C, Jia W, Jiang J, Jin HB, Johns G, Johnston R, Jones A, Jones D, Jones P, Jones R, Joshi P, Ju L, Jue A, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Kato T, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khanam T, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim A, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Klimenko S, Klinger T, Knee A, Knowles T, Knust N, Knyazev E, Kobayashi Y, Koch P, Koekoek G, Kohri K, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kovalam M, Koyama N, Kozak D, Kozakai C, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kulkarni S, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuromiya Y, Kuroyanagi S, Kwak K, Lacaille G, Lagabbe P, Laghi D, Lalande E, Lalleman M, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, LeBohec S, Lecoeuche Y, Lee E, Lee H, Lee H, Lee K, Lee R, Legred I, Lehmann J, Lemaître A, Lenti M, Leonardi M, Leonova E, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li P, Li T, Li X, Lin CY, Lin E, Lin FK, Lin FL, Lin H, Lin LC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Lo R, Lo T, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Ma’arif M, Macas R, Machtinger J, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Pina DM, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Mihaylov D, Milano L, Miller A, Miller A, Miller B, Millhouse M. Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO-Virgo data. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.042003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Kanno I, Hasegawa K, Nakamura T, Kogure M, Itabashi F, Narita A, Tsuchiya N, Hirata T, Nakaya N, Sugawara J, Kuriyama S, Tsuji I, Kure S, Hozawa A. Relationship between the housing coldness/warmth evaluation by CASBEE Housing Health Checklist and psychological distress based on TMM Community-Based Cohort Study: a cross-sectional analysis. Public Health 2022; 208:98-104. [PMID: 35738131 DOI: 10.1016/j.puhe.2022.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 03/11/2022] [Accepted: 05/08/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Previous studies have reported the relationship between housing environment and health, although due to cost and effort, it was difficult to conduct housing condition surveys on a large scale. The CASBEE Housing Health Checklist (the Checklist) made it possible to easily evaluate the housing condition from the resident's perspective. This study examined the relationship between housing coldness/warmth evaluation using the Checklist and psychological distress in a large-scale general Japanese population. STUDY DESIGN A cross-sectional study. METHODS We analysed data from 29,380 people aged ≥20 years who lived in Miyagi Prefecture, Japan. As an assessment of housing coldness/warmth, we used the Checklist. We classified participants' total scores on the Checklist related to coldness/warmth into quartiles. The Kessler 6 scale was used as an indicator of psychological distress. Multivariable logistic regression models were used to estimate the adjusted odds ratio (OR) and 95% confidence intervals (CIs). Adjusted OR and P-values for linear trends were calculated using the quartiles of the Checklists' score. RESULTS Among participants in Q1 (i.e., poorer subjective house condition), the percentage of people with psychological distress was high. Compared to the highest quartile, Q1 showed poorer evaluation of housing coldness/warmth, and higher OR for psychological distress. The OR (95% CI) of psychological distress for Q3, Q2, and Q1 compared with Q4 were 1.93 (1.74-2.14), 2.82 (2.55-3.12), and 5.78 (5.25-6.35), respectively. CONCLUSIONS Housing coldness/warmth evaluation was significantly related to psychological distress. This finding suggests that maintaining a comfortable thermal environment at home could be important for residents' mental health.
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Abbott R, Abbott T, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari R, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Aston S, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Baylor A, Bazzan M, Bécsy B, Bedakihale V, Bejger M, Belahcene I, Benedetto V, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry C, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Beniwal D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz E, Murray P, Musenich R, Muusse S, Bennett T, Nadji S, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Napolano V, Bentley J, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak R, Negishi R, Neil B, Neilson J, Nelemans G, Nelson T, BenYaala M, Nery M, Neubauer P, Neunzert A, Ng K, Ng S, Nguyen C, Nguyen P, Nguyen T, Quynh LN, Ni WT, Bergamin F, Nichols S, Nishizawa A, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nozaki S, Nuttall L, Oberling J, Berger B, O’Brien B, Obuchi Y, O’Dell J, Oelker E, Ogaki W, Oganesyan G, Oh J, Oh K, Oh S, Ohashi M, Bernuzzi S, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada M, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Bersanetti D, Oram R, O’Reilly B, Ormiston R, Ormsby N, Ortega L, O’Shaughnessy R, O’Shea E, Oshino S, Ossokine S, Osthelder C, Bertolini A, Otabe S, Ottaway D, Overmier H, Pace A, Pagano G, Page M, Pagliaroli G, Pai A, Pai S, Palamos J, Betzwieser J, Palashov O, Palomba C, Pan H, Pan K, Panda P, Pang H, Pang P, Pankow C, Pannarale F, Pant B, Beveridge D, Panther F, Paoletti F, Paoli A, Paolone A, Parisi A, Park H, Park J, Parker W, Pascucci D, Pasqualetti A, Bhandare R, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron A, Paul S, Payne E, Pedraza M, Pegoraro M, Bhardwaj U, Pele A, Arellano FP, Penn S, Perego A, Pereira A, Pereira T, Perez C, Périgois C, Perkins C, Perreca A, Bhattacharjee D, Perriès S, Petermann J, Petterson D, Pfeiffer H, Pham K, Phukon K, Piccinni O, Pichot M, Piendibene M, Piergiovanni F, Bhaumik S, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto I, Pinto M, Piotrzkowski K, Pirello M, Bilenko I, Pitkin M, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong D, Ponrathnam S, Popolizio P, Billingsley G, Porter E, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati A, Prasai K, Prasanna R, Pratten G, Principe M, Bini S, Prodi G, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Birney R, Quetschke V, Quitzow-James R, Raab F, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail S, Raja S, Rajan C, Birnholtz O, Ramirez K, Ramirez T, Ramos-Buades A, Rana J, Rapagnani P, Rapol U, Ray A, Raymond V, Raza N, Razzano M, Biscans S, Read J, Rees L, Regimbau T, Rei L, Reid S, Reid S, Reitze D, Relton P, Renzini A, Rettegno P, Bischi M, Rezac M, Ricci F, Richards D, Richardson J, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Biscoveanu S, Robertson N, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins J, Romanelli M, Romano J, Romano R, Bisht A, Romel C, Romero-Rodríguez A, Romero-Shaw I, Romie J, Ronchini S, Rosa L, Rose C, Rosińska D, Ross M, Rowan S, Biswas B, Rowlinson S, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Bitossi M, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia O, Salconi L, Saleem M, Bizouard MA, Salemi F, Samajdar A, Sanchez E, Sanchez J, Sanchez L, Sanchis-Gual N, Sanders J, Sanuy A, Saravanan T, Sarin N, Blackburn J, Sassolas B, Satari H, Sathyaprakash B, Sato S, Sato T, Sauter O, Savage R, Sawada T, Sawant D, Sawant H, Blair C, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield R, Blair D, Schönbeck A, Schulte B, Schutz B, Schwartz E, Scott J, Scott S, Seglar-Arroyo M, Sekiguchi T, Sekiguchi Y, Sellers D, Blair R, Sengupta A, Sentenac D, Seo E, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar M, Shams B, Shao L, Bobba F, Sharma A, Sharma P, Shawhan P, Shcheblanov N, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shinkai H, Bode N, Shishido T, Shoda A, Shoemaker D, Shoemaker D, ShyamSundar S, Sieniawska M, Sigg D, Singer L, Singh D, Singh N, Boer M, Singha A, Sintes A, Sipala V, Skliris V, Slagmolen B, Slaven-Blair T, Smetana J, Smith J, Smith R, Soldateschi J, Bogaert G, Somala S, Somiya K, Son E, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Boldrini M, Souradeep T, Sowell E, Spagnuolo V, Spencer A, Spera M, Srinivasan R, Srivastava A, Srivastava V, Staats K, Stachie C, Bonavena L, Steer D, Steinlechner J, Steinlechner S, Stops D, Stover M, Strain K, Strang L, Stratta G, Strunk A, Sturani R, Bondu F, Stuver A, Sudhagar S, Sudhir V, Sugimoto R, Suh H, Summerscales T, Sun H, Sun L, Sunil S, Sur A, Bonilla E, Suresh J, Sutton P, Suzuki T, Suzuki T, Swinkels B, Szczepańczyk M, Szewczyk P, Tacca M, Tagoshi H, Tait S, Bonnand R, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talbot C, Tanaka H, Tanaka K, Booker P, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk A, Tanioka S, Tanner D, Tao D, Tao L, Martín ETS, Taranto C, Boom B, Tasson J, Telada S, Tenorio R, Terhune J, Terkowski L, Thirugnanasambandam M, Thomas M, Thomas P, Thompson J, Thondapu S, Bork R, Thorne K, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen A, Toland K, Tolley A, Tomaru T, Tomigami Y, Boschi V, Tomura T, Tonelli M, Torres-Forné A, Torrie C, e Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Bose N, Tringali M, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau R, Tsai D, Tsai D, Tsang K, Tsang T, Bose S, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turbang K, Bossilkov V, Turconi M, Tuyenbayev D, Ubhi A, Uchikata N, Uchiyama T, Udall R, Ueda A, Uehara T, Ueno K, Ueshima G, Boudart V, Unnikrishnan C, Uraguchi F, Urban A, Ushiba T, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Bouffanais Y, Valsan V, van Bakel N, van Beuzekom M, van den Brand J, Van Den Broeck C, Vander-Hyde D, van der Schaaf L, van Heijningen J, Vanosky J, van Putten M, Bozzi A, van Remortel N, Vardaro M, Vargas A, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venneberg J, Bradaschia C, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets A, Vijaykumar A, Brady P, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis E, von Wrangel J, Vorvick C, Vyatchanin S, Bramley A, Wade L, Wade M, Wagner K, Walet R, Walker M, Wallace G, Wallace L, Walsh S, Wang J, Wang J, Branch A, Wang W, Ward R, Warner J, Was M, Washimi T, Washington N, Watchi J, Weaver B, Webster S, Weinert M, Branchesi M, Weinstein A, Weiss R, Weller C, Wellmann F, Wen L, Weßels P, Wette K, Whelan J, White D, Whiting B, Brau J, Whittle C, Wilken D, Williams D, Williams M, Williamson A, Willis J, Willke B, Wilson D, Winkler W, Wipf C, Breschi M, Wlodarczyk T, Woan G, Woehler J, Wofford J, Wong I, Wu C, Wu D, Wu H, Wu S, Wysocki D, Briant T, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang F, Briggs J, Yang L, Yang Y, Yang Y, Yang Z, Yap M, Yeeles D, Yelikar A, Ying M, Yokogawa K, Yokoyama J, Brillet A, Yokozawa T, Yoo J, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Brinkmann M, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Brockill P, Zhao Y, Zhao Y, Zhou R, Zhou Z, Zhu X, Zhu ZH, Zucker M, Zweizig J, Brooks A, Brooks J, Brown D, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten H, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer R, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan J, Callister T, Calloni E, Cameron J, Camp J, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon K, Cao H, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin J, Carney M, Carpinelli M, Carrillo G, Carullo G, Carver T, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Ceasar M, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan C, Chan K, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chen C, Chen H, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong C, Cheung H, Chia H, Chiadini F, Chiang CY, Chiarini G, Chierici R, Chincarini A, Chiofalo M, Chiummo A, Cho G, Cho H, Choudhary R, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung K, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark E, Clark J, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen D, Cohen L, Colleoni M, Collette C, Colombo A, Colpi M, Compton C, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corezzi S, Corley K, Cornish N, Corre D, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coulon JP, Countryman S, Cousins B, Couvares P, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Criswell A, Croquette M, Crowder S, Cudell J, Cullen T, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall’Osso S, Dálya G, Dana A, DaneshgaranBajastani L, D’Angelo B, Danilishin S, D’Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier L, Datta S, Dattilo V, Dave I, Davier M, Davies G, Davis D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Diaz-Ortiz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla A, Dmitriev A, Doctor Z, D’Onofrio L, Donovan F, Dooley K, Doravari S, Dorrington I, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Ewing B, Fafone V, Fair H, Fairhurst S, Farah A, Farinon S, Farr B, Farr W, Farrow N, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Frederick C, Freed J, Frei Z, Freise A, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard H, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Gould D, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson A, Gretarsson E, Griffith D, Griffiths W, Griggs H, Grignani G, Grimaldi A, Grimm S, Grote H, Grunewald S, Gruning P, Guerra D, Guidi G, Guimaraes A, Guixé G, Gulati H, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson E, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall E, Hamilton E, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hansen H, Hansen T, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry G, Harry I, Hartwig D, Hasegawa K, Haskell B, Hasskew R, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes F, Healy J, Heidmann A, Heidt A, Heintze M, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell A, Hemming G, Hendry M, Heng I, Hennes E, Hennig J, Hennig M, Hernandez A, Vivanco FH, Heurs M, Hild S, Hill P, Himemoto Y, Hines A, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann J, Holcomb D, Holland N, Hollows I, Holmes Z, Holt K, Holz D, Hong Z, Hopkins P, Hough J, Hourihane S, Howell E, Hoy C, Hoyland D, Hreibi A, Hsieh BH, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang Y, Hübner M, Huddart A, Hughey B, Hui D, Hui V, Husa S, Huttner S, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer B, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav S, Jadhav S, James A, Jan A, Jani K, Janquart J, Janssens K, Janthalur N, Jaranowski P, Jariwala D, Jaume R, Jenkins A, Jenner K, Jeon C, Jeunon M, Jia W, Jin HB, Johns G, Jones A, Jones D, Jones J, Jones P, Jones R, Jonker R, Ju L, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee A, Knowles T, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak D, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kuwahara S, Kwak K, Lagabbe P, Laghi D, Lalande E, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee H, Lee H, Lee H, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leonardi M, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li T, Li X, Lin CY, Lin FK, Lin FL, Lin H, Lin LCC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo R, Lockwood A, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Macas R, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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