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Otani M, Hasegawa K, Kita K, Horikawa D, Mizukami S, Takeda T, Ohara M, Tani C, Shonaka T, Matsuno N, Sumi Y. Assessment of post-operative changes in body composition after pylorus-preserving gastrectomy for early gastric cancer. Clin Nutr ESPEN 2021. [DOI: 10.1016/j.clnesp.2021.09.480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Ishii Y, Aiba N, Ando M, Asakura N, Bierwage A, Cara P, Dzitko H, Edao Y, Gex D, Hasegawa K, Hayashi T, Hiwatari R, Hoshino T, Ikeda Y, Ishida S, Isobe K, Iwai Y, Jokinen A, Kasugai A, Kawamura Y, Kim JH, Kondo K, Kwon S, Lorenzo SC, Masuda K, Matsuyama A, Miyato N, Morishita K, Nakajima M, Nakajima N, Nakamichi M, Nozawa T, Ochiai K, Ohta M, Oyaidzu M, Ozeki T, Sakamoto K, Sakamoto Y, Sato S, Seto H, Shiroto T, Someya Y, Sugimoto M, Tanigawa H, Tokunaga S, Utoh H, Wang W, Watanabe Y, Yagi M. R&D Activities for Fusion DEMO in the QST Rokkasho Fusion Institute. FUSION SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1080/15361055.2021.1925030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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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. Distinct association of VEGF-C and VEGF-D with prognosis in patients with chronic heart failure: the PREHOSP-CHF study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0868] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
The lymphatic system has been suggested to play an important role in cardiovascular (CV) diseases including heart failure (HF). Vascular endothelial growth factor C (VEGF-C) and VEGF-D are key regulators of lymphoangiogenesis.
Purpose
To investigate the association of VEGF-C and VEGF-D with prognosis in patients with chronic HF (CHF).
Methods
The PREHOSP-CHF study is a multicenter prospective cohort study to determine the predictive value of angiogenesis-related biomarkers in CHF. A total of 1,024 patients (mean age, 75.5±12.6 years; male, 58.7%) admitted to acute decompensated HF were included in the analyses. The primary outcome was MACE defined as a composite of CV death or HF hospitalization. The secondary outcomes were all-cause death, CV death, and HF hospitalizations. 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 sensitive C reactive protein (hs-CRP), VEGF, and soluble VEGF receptor-2 (sVEGFR-2) were measured at the time of discharge. Patients were followed-up over two years.
Results
Median [interquartile range] of VEGF-C and VEGF-D levels were 4821 [3633–6131] pg/ml and 404 [296–559] pg/ml, respectively. In multivariate stepwise regression analysis, independent determinants of VEGF-C levels were younger age, female gender, absence of prior HF hospitalization, chronic kidney disease, and anemia, lower ejection fraction, lower NT-proBNP levels, higher VEGF levels, and higher sVEGFR-2 levels, while those of VEGF-D levels were lower body mass index, presence of diabetes and atrial fibrillation, and higher NT-proBNP levels. During the follow-up, a total of 209 (20.4%) all-cause deaths, 112 (10.9%) CV deaths, and 309 (30.2%) HF hospitalizations occurred. After adjusting for established risk factors and CV biomarkers, VEGF-C levels were significantly and inversely associated with the incidence of MACE and non-CV death (Fig.1, model 4). On the other hand, VEGF-D levels were significantly and positively associated with the incidence of HF hospitalization (Fig. 1, model 4). When we divided the patients into 4 groups based on the median of VEGF-C and VEGF-D levels, patients with low VEGF-C and high VEGF-D showed significantly higher incidence of MACE, all-cause death, CV death, and HF hospitalization compared to those with high VEGF-C and low VEGF-D (Fig. 2).
Conclusions
Among patients with CHF, VEGF-C and VEGF-D had different characteristic and association with the incidence of adverse events. VEGF-C levels were inversely associated with the incidence of MACE and non-CV death, and VEGF-D levels were positively associated with the incidence of HF hospitalization. These results suggests different effects of VEGF-C and VEGF-D in CHF. Combination of VEGF-C and VEGF-D enables us to make good risk stratification in patients with CHF.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Grant-in-Aid for Clinical Research from the National Hospital Organization Figure 1Figure 2
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Kuroki N, Abe D, Hasegawa K, Nagatomo R, Okochi M, Kato T, Aoyama T, Hirano H, Ohashi K, Takayama A, Hattori A, Kimata A, Hamabe Y, Suzuki K, Ueda T. Habitual exercise provides better prognosis for cardiac arrest with coronary artery disease. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2705] [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
Although regular physical activity has beneficial cardiovascular effects, exercise can trigger sudden cardiac arrest (SCA). Coronary artery disease (CAD) was identified as the most common cause of an exercise-related out-of-hospital cardiac arrest (OHCA). Regular exercise has been reported to reduce the risk of plaque rupture in animal studies and basic research. Therefore, we compared the coronary artery findings in CAD-OHCA patients with and without habitual exercise.
There have been few reports on whether regular exercise changes the prognosis in OHCA due to CAD (CAD-OHCA). We investigated the association between the better clinical outcome and the regular exercise in patients with CAD-OHCA.
Methods
This is a single-center retrospective analysis from 2006 to 2019. The consecutive 397 patients with OHCA due to myocardial ischemia underwent coronary angiography (CAG). After excluding 73 patients with vasospastic angina, the remaining 324 patients with CAD were enrolled in this study. We divided these patients into two groups according to whether they were habitually exercising (Exercise group: N=37) or not/unknown (Non-Exercise group: N=287).
Clinical outcome was a 30-day survival with minimal neurologic impairment represented by a Glasgow-Pittsburgh Cerebral Performance Categories Scale value 1 or 2.
Results
The patients in the Exercise Group were significantly younger (exercise vs. non-exercise, 57±12 vs. 64±12 years; P<0.01) than those in the non-exercise group. The Exercise group had a lower incidence of diabetes mellitus (22% vs. 42%; P=0.02) and a higher incidence of dyslipidemia (81% vs. 62%; P=0.02) than the non-exercise group. The time from collapse to cardiopulmonary resuscitation (1.4±4.0 vs. 3.0±4.8min) and from collapse to return of spontaneous circulation (11.9±10.0 vs. 28.0±25.3min) were shorter in Exercise group (all p<0.05). The ST-segment elevation was recorded on electrocardiography in fewer of the Exercise group (22% vs. 63%; P<0.01). The finding of culprit lesion in the coronary arteries on arrival resulted significant differences between the 2groups (good collateral and/or TIMI3 flow: 62% vs. 25%, the plaque rupture and/or thrombus: 22% vs. 73%) (all p<0.01) (Figure 1). Kaplan-Meier curve showed Exercise group has better neurological outcome at 30days compared than Non-Exercise (95% vs 51%; P<0.001, log-rank test) (Figure 2). Multivariable Cox proportional hazards models revealed that a habitual exercise was one of the predictors of a good neurological outcome (HR 0.21, 95% CI 0.05–0.92; P=0.039).
Conclusions
The patients with habitual exercise had less plaque rupture, less coronary thrombosis than non-exercise. The patients with regular exercise had better clinical outcomes than non-exercise after CAD-OHCA.
Funding Acknowledgement
Type of funding sources: Public Institution(s). Main funding source(s): Tokyo Metropolitan Goverment Figure 1. Findings of the culprit lesion in coronar arteriesFigure 2. Kaplan-Meier analysis
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Iguchi M, Masunaga N, Ishii M, An Y, Fujino A, Hamatani Y, Doi K, Esato M, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. Association of low total cholesterol level with clinical outcomes in patients with atrial fibrillation: the Fushimi AF registry. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0435] [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
Hyperlipidemia is a well-established risk factor for cardiovascular disease. However, low cholesterol is also reported to be associated with poor outcome in patients with chronic disease, which is called “cholesterol paradox”, and the association of cholesterol level with the incidence of clinical outcomes in patients with atrial fibrillation (AF) remains unclear.
Methods
In the Fushimi AF Registry, a community-based prospective survey of the AF patients in Fushimi-ku, Kyoto, Japan, follow-up data and baseline total cholesterol levels were available in 3,054 patients. We excluded 767 patients who were taking statins, and 2,267 patients were included in the analyses. We defined low cholesterol as total cholesterol <150 mg/dl, and examined the incidence of all-cause death, stroke/systemic embolism (SE), heart failure (HF) hospitalization, and major bleeding.
Results
Patients with low cholesterol (N=464 (20.4%)) were older, more often male, and had higher prevalence of low body weight (<50 kg), permanent/persistent AF, prior stroke/SE, HF, chronic kidney disease, and anemia (hemoglobin <11 g/dl). CHA2DS2-VASc score was higher in patients with low cholesterol (low cholesterol vs others; 3.6±1.6 vs 3.2±1.7: P<0.001). Prescription of oral anti-coagulants was comparable between the groups (50.0% vs 54.5%: P=0.09). During the median follow-up of 1,805 days, the incidence of all-cause death, stroke/SE, HF hospitalization, and major bleeding was significantly higher in patients with low cholesterol (all-cause death, 10.9 vs 3.8 /100 person-years; stroke/SE, 3.4 vs 1.9 /100 person-years; HF hospitalization, 4.7 vs 2.5 /100 person-years; major bleeding, 2.7 vs 1.4 /100 person-years) (Figure 1). After adjustment for the components of CHA2DS2-VASc score, low body weight, permanent/persistent AF, chronic kidney disease, anemia, and prescription of oral anti-coagulants, low cholesterol was significantly associated with the incidence of all-cause death and stroke/SE, but not with that of HF hospitalization or major bleeding (Figure 2, model 3). Total cholesterol levels were still significantly and inversely associated with the incidence of all-cause death (hazard ratio, 0.94; 95% confidence interval, 0.92–0.96 for 10 mg/dl increase) and stroke/SE (hazard ratio, 0.96; 95% confidence interval, 0.92–0.999 for 10 mg/dl increase), when analyzed as continuous variables. Subgroup analysis revealed that the risk of low cholesterol for all-cause death was more pronounced in female (interaction P, 0.049), patient without prior stroke/SE (interaction P, 0.01), those without HF (interaction P, 0.01), and those without vascular disease (interaction P, 0.001). The risk for stroke/SE was more pronounced in patients without vascular disease (interaction P, 0.01).
Conclusion
Low total cholesterol level was significantly associated with the incidence of all-cause and stroke/SE in AF patients not taking statins, suggesting the existence of cholesterol paradox in AF.
Funding Acknowledgement
Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Boehringer Ingelheim, Bayer Healthcare, Pfizer, Bristol-Myers Squibb, Astellas Pharma, AstraZeneca, Daiichi-Sankyo, Novartis Pharma, MSD, Sanofi-Avent
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Ikeda S, Iguchi M, Ogawa H, Ishigami K, Doi K, Hamatani Y, Ide Y, Fujino A, Ishii M, Masunaga N, Esato M, Wada H, Hasegawa K, Abe M, Akao M. The relationship between diastolic blood pressure and the risk of cardiovascular events in patients with atrial fibrillation whose systolic blood pressure was treated to less than 130 mmHg. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.2387] [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: 11/12/2022] Open
Abstract
Abstract
Background
Hypertension is one of the major risk factors of cardiovascular events in patients with atrial fibrillation (AF). Low diastolic blood pressure (DBP) has been reported to be associated with the incidence of cardiovascular events, but current guidelines recommend an intensive blood pressure target of less than 130/80 mmHg for AF patients taking oral anticoagulants without mentioning the lower limits of DBP.
Methods
The Fushimi AF Registry is a community-based prospective survey of AF patients in a city of Japan. Follow-up data were available in 4,472 patients, and hypertensive patients who received prescription of any antihypertensive agents and whose systolic blood pressure was treated to less than 130 mmHg were available were examined (n=1,319). We divided the patients into four groups according to their DBP at baseline; G1 (DBP<60 mmHg, n=349), G2 (60≤DBP<70, n=434), G3 (70≤DBP<80, n=386) and G4 (80≤DBP, n=150), and compared the clinical background and outcomes among groups.
Results
The proportion of female was grater in G1 group, and the patients in G1 group were older. During the median follow-up of 2,458 days, in Kaplan-Meier analysis, the incidence rates of cardiovascular events (composite of cardiac death, ischemic stroke, systemic embolism, non-fatal myocardial infarction and heart failure hospitalization during follow up) were the highest in G1 group and the lowest in G3 group (G1: 7.2% per person-year vs. G2: 4.9% vs. G3: 2.2% vs. G4: 4.4%; p<0.01). Multivariate Cox proportional hazards regression analysis revealed that DBP was an independent determinant of cardiovascular events (G1 vs. G3; hazard ratio (HR): 1.96, 95% confidence intervals (CI): 1.39–2.76, G2 vs. G3; HR: 1.79, 95% CI: 1.28–2.50, G4 vs. G3; HR: 1.56, 95% CI: 0.99–2.45) (Figure 1). When we examined the association of DBP according to 10 mmHg increment, patients with excessively low DBP (<50 mmHg) had significantly higher incidence of cardiovascular events than patients with DBP of 70–79 mmHg (HR: 2.80, 95% CI: 1.81–4.33), and DBP exhibited J curve association with higher incidence of cardiovascular events (Figure 2).
Conclusion
In Japanese AF patients whose systolic blood pressure was treated to less than 130 mmHg, patients with excessively low DBP had significantly higher incidence of cardiovascular events, and DBP exhibited J curve association with higher incidence of cardiovascular events.
Funding Acknowledgement
Type of funding sources: None.
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Ogawa H, Esato M, Minami K, Ikeda S, Doi K, Hamatani Y, Ide Y, Fujino A, Ishii M, Iguchi M, Masunaga N, Wada H, Hasegawa K, Abe M, Akao M. Previous pacemaker therapy was not associated with the risk of clinical events in patients with atrial fibrillation: the Fushimi AF Registry. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0542] [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
Patients with atrial fibrillation (AF) occasionally require pacemaker implantation. Meanwhile, patients with implanted pacemaker are occasionally found to have subclinical AF and develop clinical AF. However, little is known about the clinical outcomes of AF patients with implanted pacemaker.
Purpose
We aimed to investigate the clinical outcomes in AF patients undergoing previous pacemaker therapy.
Methods
The Fushimi AF Registry is a community-based prospective survey of the AF patients in a city of Japan. Follow-up data including prescription status were available for 4,447 patients. After exclusion of patients with implantable cardioverter defibrillator and cardiac resynchronization therapy, we investigated 293 AF patients with pacemaker implantation at baseline. We performed propensity score-matching analysis to assess the impact of pacemaker therapy in AF patients.
Results
Of a total cohort, patients with pacemaker were more often female (51.2% vs. 39.7%; p<0.01) and older (78.0 vs. 73.3 years of age; p<0.01). Patients with pacemaker were more likely to have pre-existing heart failure (33.1% vs. 26.6%; p<0.01), valvular heart disease (22.9% vs. 16.8%; p<0.01), chronic kidney disease (48.8% vs. 34.7%; p<0.01), and history of performing direct current cardioversion (7.2% vs. 3.1%; p<0.01), compared with patients without pacemaker. Mean CHA2DS2-VASc score was higher in patients with pacemaker (3.80 vs. 3.34; p<0.01). Patients with pacemaker were more often prescribed oral anticoagulants (62.1% vs. 55.2%; p=0.02), verapamil (13.3% vs. 9.4%; p=0.03), and loop diuretics (30.7% vs. 21.8%; p<0.01). Using propensity score-matching, 291 patients with pacemaker and 291 without pacemaker were matched and baseline characteristics were comparable. The median follow-up period was 1,819 days. All-cause death occurred in 91 patients with pacemaker (6.0 /100 person-years) and 79 patients without pacemaker (5.9 /100 person-years), with a hazard ratio (HR) for patients with pacemaker of 1.01 (95% confidence interval [CI], 0.75 to 1.37; p=0.93). Furthermore, HR of cardiac death for patients with pacemaker was 1.00 (95% CI, 0.23 to 4.32; p=0.99), that of stroke or systemic embolism was 0.69 (95% CI, 0.44 to 1.07; p=0.10) and that of hospitalization for heart failure was 0.94 (95% CI, 0.65 to 1.37; p=0.76).
Conclusion
We identified that patients undergoing previous pacemaker therapy were not associated with the incidence of various adverse clinical events in Japanese AF patients.
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, Takeda Pharmaceutical, and the Practical Research Project for Life-Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus from Japan Agency for Medical Research and Development.
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Ishigami K, Ikeda S, Doi K, Hamatani Y, Ide Y, Fujino A, An Y, Ishii M, Iguchi M, Ogawa H, Masunaga N, Wada H, Hasegawa K, Abe M, Akao M. Association of the degree of thrombocytopenia with cause of death in patients with atrial fibrillation: the Fushimi AF Registry. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0462] [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
Thrombocytopenia is sometimes found in routine blood tests and is associated with an increased risk of mortality in general population. We have previously reported that atrial fibrillation (AF) patients with thrombocytopenia have a higher mortality than those without thrombocytopenia. However, association of the degree of thrombocytopenia with cause of death in AF patients is unknown.
Purpose
We aimed to investigate the association of baseline platelet count with cause of death including cardiac death, intracranial death, malignancy, infection, extracranial bleeding death, renal failure death, respiratory failure death and undetermined death.
Methods
The Fushimi AF Registry was designed to enroll all of the AF patients in Fushimi-ku, Kyoto. Fushimi-ku is densely populated with a total population of 283,000 and is assumed to represent a typical urban community in Japan. We started to enroll patients from March 2011, and follow-up data with baseline platelet counts less than 150,000/μL were available in 853 patients by the end of September 2020. We divided them into 3 groups according to baseline platelet level: Mild thrombocytopenia (100,000–149,999/μL, n=703), Moderate thrombocytopenia (50,000–99,999/μL, n=120), and Severe thrombocytopenia (<50,000/μL, n=30).
Results
In the entire cohort, the mean age was 76 years, 34% were women, the mean body weight and body mass index was 59.3 kg and 22.9 kg/m2, and the median platelet count were 121,000/μL (interquartile range 109,000 to 141,000/μL). Compared to Mild thrombocytopenia, patients with Moderate or Severe thrombocytopenia were more likely to have chronic kidney disease (42.2% vs 54.2% vs 73.3%, p=0.0003), have higher HAS-BLED score (1.90 vs 2.14 vs 2.00, p=0.047) and lower hemoglobin (12.8g/dL vs 11.7g/dL vs 11.2g/dL, p<0.0001) and were less often prescribed anti platelet drugs. Age, sex, body weight, systolic blood pressure, previous stroke, previous major bleeding, hypertension, diabetes mellitus, CHADS2 score and CHA2DS2-VASc score were comparable between three groups. During the median follow-up period, the incidence rate (per 100 person-years) of all-cause death was 6.82 vs 15.27 vs 9.64. (p<0.001) On univariate analysis, the incidence of all-cause death was higher in Moderate group than Mild group. (HR: 2.15; 95% CI 1.61–2.87, p<0.0001), but there was no significant difference between Mild and Severe groups. (HR: 1.44; 95% CI 0.78–2.64, p=0.243). The incidence of cardiac death was comparable between three groups. (Mild vs Moderate: HR 0.65; 95% CI 0.15–2.75, p=0.56, Mild vs Severe: HR 1.11; 95% CI 0.15–8.23, p=0.92) Regarding other causes of death such as intracranial bleeding, extracranial bleeding, malignancy, infection, renal failure, respiratory failure and undetermined cause, there was no significant difference.
Conclusion
Mortality was higher according to the degree of thrombocytopenia in AF patients, but the cause of death was not different among three groups.
Funding Acknowledgement
Type of funding sources: None.
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Shimada YJ, Raita Y, Maurer MS, Hasegawa K, Fifer MA, Reilly MP. Prediction of major adverse cardiovascular events in patients with hypertrophic cardiomyopathy using proteomics profiling. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1776] [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: 11/12/2022] Open
Abstract
Abstract
Background
Hypertrophic cardiomyopathy (HCM) is one of the most common genetic cardiac diseases, affecting 1 in 200–500 people in the US. HCM often causes major adverse cardiovascular events (MACE) – e.g., arrhythmias (atrial fibrillation, ventricular tachycardia/fibrillation), cerebrovascular accident, heart failure (HF), and sudden cardiac death (SCD). Although these HCM-related morbidities and mortality substantially affect the patients' quality and quantity of life, no systems are available to predict MACE. Furthermore, it remains unclear which signaling pathways mediate MACE.
Purpose
To prospectively determine protein biomarkers that predict MACE in patients with HCM and to identify signaling pathways differentially regulated in patients with HCM who subsequently develop MACE.
Methods
In this multi-center prospective cohort study of patients with HCM, we carried out plasma proteomics profiling of 4,979 proteins upon enrollment. We defined MACE as a composite of new-onset arrhythmias, cerebrovascular accident, increase in New York Heart Association class, HF death, SCD, and emergency department visit or non-elective hospitalization for HCM-related morbidities. We performed a sparse partial least squares discriminant analysis to develop a proteomics-based model to predict MACE using data from one institution (i.e., the training set). We tested the predictive ability in independent samples from the other institution (i.e., the test set) and performed time-to-event analysis. Additionally, we executed pathway analysis of the predictive proteins. A pathway was declared positive (i.e., dysregulated) if the false discovery rate (FDR) of the pathway was <0.01 and there were ≥5 proteins that map to the pathway.
Results
The study included 257 patients with HCM (n=186 in the training set; n=71 in the test set). The median follow-up duration was 2.5 years (interquartile range, 1.4–3.1 years). Each year, 11.7% of patients had MACE. Using the proteomics-based prediction model derived from the training set, the area under the receiver-operating-characteristic curve was 0.84 (95% confidence interval [CI] 0.72–0.96) in the test set (Figure 1). The sensitivity was 0.82 (95% CI, 0.72–0.91) and the specificity was 0.84 (95% CI, 0.79–0.89) in the test set. In the test set, high-risk group determined by the proteomics-based predictive model had significantly higher rate of developing MACE (hazard ratio 20.2; 95% CI 2.4–168; p=0.005; Figure 2). The Ras-MAPK and related pathways were upregulated in patients who subsequently developed MACE (FDR<0.001). Pathways involved in inflammation and fibrosis – e.g., the TGF-β pathway – were also upregulated.
Conclusions
This multi-center prospective cohort study with validation serves as the first to demonstrate the ability of proteomics profiling to predict MACE in HCM, exhibiting both novel (e.g., Ras-MAPK) and known (e.g., TGF-β) pathways that are differentially regulated in patients who subsequently experience MACE.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institute of Health, American Heart Association Figure 1Figure 2
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Hamatani Y, Iguchi M, Minami K, Ishigami K, Ikeda S, Doi K, Masunaga N, Esato M, Tsuji H, Wada H, Hasegawa K, Ogawa H, Abe M, Akao M. Predictors and risk model for heart failure hospitalization in atrial fibrillation patients without pre-existing heart failure: the Fushimi AF Registry. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0476] [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 hospitalization for heart failure (HF), as well as that of thromboembolism. The strategy for prediction of thromboembolism has been well-established; however, little focus has been placed on the risk stratification for and prevention of HF hospitalization in AF patients.
Purpose
The aim of this study is to investigate the predictors and risk model of HF hospitalization in non-valvular AF patients without pre-existing HF.
Methods
The Fushimi AF Registry is a community-based prospective survey of AF patients 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 4,472 patients by the end of October 2020. From the registry, we excluded patients without a pre-existing HF (defined as having one of the following; prior hospitalization for HF, New York Heart Association class ≥2, or left ventricular ejection fraction [LVEF] <40%), and those with valvular AF (mitral stenosis or prosthetic heart valve). Among 3,188 non-valvular AF patients without pre-existing HF, we explored the risk factors for the HF hospitalization during follow-up period. The risk model for predicting HF hospitalization was determined by the cumulative numbers of risk factors which were significant on multivariate analysis.
Results
The mean age was 72.4±10.8 years, 1197 were female and 1787 were paroxysmal AF. The mean CHADS2 and CHA2DS2-VASc scores were 1.7±1.2 and 2.9±1.6, respectively. During the median follow-up period of 5.1 years, HF hospitalization occurred in 285 (8.9%), corresponding to an annual incidence of 1.8 events per 100 person-years. In multivariable Cox regression analysis, advanced age (≥75 years), valvular heart disease, coronary artery disease, reduced LVEF (<60%), chronic obstructive pulmonary disease (COPD) and anemia were independently associated with the higher incidence of HF hospitalization (all P<0.001) (Picture 1). A risk model based on these 6 variables could stratify the incidence of HF hospitalization during follow-up period (log-rank; P<0.001) (Picture 2). Patients with ≥3 risk factors had an 11-fold higher incidence of HF hospitalization compared with those not having any of these risk factors (hazard ratio: 11.3, 95% confidence interval: 7.0–18.4; P<0.001).
Conclusions
Advanced age, coronary artery disease, valvular heart disease, reduced LVEF, COPD and anemia were independently associated with the risk of HF hospitalization in AF patients without pre-existing HF. There was good prediction for endpoint of HF hospitalization using these 6 variables, providing the opportunities for the implementation of strategies to reduce the incidence of HF among AF patients.
Funding Acknowledgement
Type of funding sources: None.
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Liang LW, Raita Y, Hasegawa K, Fifer MA, Maurer MS, Reilly MP, Shimada YJ. Proteomics profiling reveals distinct molecular subtypes of hypertrophic cardiomyopathy with differential risks of major adverse cardiovascular events. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1765] [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 a heterogeneous disease, and a subset (10–15%) of patients per year experience major adverse cardiovascular events (MACE). Current risk prediction models based solely on clinical data have yielded limited power in predicting MACE. Although the diagnosis of HCM is made based on clinical features, the heterogeneity of HCM suggests that “HCM” may actually encompass several subtypes of disease with distinct biological mechanisms that can only be elucidated via molecular-level investigation. Proteomics profiling measures concentrations of thousands of proteins simultaneously and has the potential to reveal underlying molecular mechanisms of disease and distinct subtypes of HCM.
Purpose
Our aim was to derive distinct subtypes of HCM in our multi-center biorepository of patients with HCM using proteomics profiling, and to examine their associations with MACE.
Methods
We applied unsupervised machine learning methods to derive HCM molecular subtypes using plasma proteomics profiling data from 258 patients in our multi-center HCM prospective cohort study. The primary outcome was MACE, defined as a composite of arrhythmias, progressive heart failure, stroke, and sudden cardiac death. We performed time-to-event analysis with a Cox proportional hazards model, using the subtype with the lowest risk as the reference group. We also performed pathway analysis of proteins differentially regulated in patients in the highest-risk subtype.
Results
We identified 4 distinct HCM subtypes. Patients in subtype D (n=74) were older on average compared to the other groups and more likely to be female. 50% of patients in subtype D had NYHA class II or greater heart failure symptoms compared to 37% in the rest of the groups combined. There were no significant differences in echocardiographic parameters or rates of genotype positivity between the four subtypes. Compared to the reference group (i.e., subtype A), patients in subtype D had a higher rate of MACE with a hazard ratio of 2.59 (95% CI 1.21–5.57, p=0.01 compared to subtype A; Figure). Pathway analysis identified significantly upregulated signaling pathways in the high-risk subtype D compared to the other subtypes (Table), with a number of upstream and downstream pathways associated with the Ras-MAPK pathway (FDR 0.0005).
Conclusions
Our study exhibits not only the presence of HCM molecular subtypes but also their distinct pathobiological mechanisms associated with different MACE risks. The four subtypes identified bore similar clinical characteristics and would not have been distinguishable based on the conventional analysis of clinical and echocardiographic parameters alone, but rather required deeper investigation at the molecular level. Furthermore, pathway analysis revealed an upregulation of Ras-MAPK pathways in the subtype with the highest risk of MACE, implicating this pathway as a potential underlying mechanism of more severe disease.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): NIH
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Miyashita S, Zhao Y, Hasegawa K, Maurer M, Fifer M, Reilly M, Takayama H, Shimada YJ. Bariatric surgery is associated with lower risk of acute cardiovascular events in patients with obesity and hypertrophic cardiomyopathy. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1762] [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
Prior studies have suggested causal relationships between obesity and acute cardiovascular events (e.g., acute coronary syndrome, hypertensive crisis, and heart failure exacerbation). It has been known that the risk of cardiovascular events is reduced by bariatric surgery, the most effective method for substantial and sustained weight loss. However, little is known about whether bariatric surgery lowers the risk of acute cardiovascular events in the hypertrophic cardiomyopathy (HCM) population.
Purpose
To test the hypothesis that patients with obesity and HCM who underwent bariatric surgery have lower risk of developing acute cardiovascular events than those who did not.
Methods
In this population-based study of adults with obesity and HCM, the bariatric surgery group consisted of patients who underwent bariatric surgery from January 2004 to December 2014, whereas the control group included those who received non-bariatric elective intra-abdominal surgery during the same period. The outcome was an acute cardiovascular event – defined as emergency department (ED) visit or unplanned hospitalization for cardiovascular disease – during a 1-year post-surgery period. We used the SPARCS database, a population-based ED and inpatient database that captures all the ED visits and hospitalizations in New York State. We constructed logistic regression models with generalized estimating equations to compare the risk of the outcome events during sequential 6-month periods. We conducted multivariable analysis, adjusting for age, sex, number of ED visits and hospitalizations for cardiovascular disease within 2 years before the index surgery, and the Elixhauser comorbidity measures. We also performed additional analyses with propensity score (PS)-matching at 2:1 ratio and inverse probability treatment weighting (IPTW) using these variables.
Results
The analytic cohort consisted of 207 adults with obesity and HCM, including 147 patients who underwent bariatric surgery and 60 who had non-bariatric elective intra-abdominal surgery. In the 7–12 months post-surgery period, the risk of acute cardiovascular event was significantly lower in the bariatric surgery group (adjusted OR 0.23; 95% CI, 0.068–0.71; P=0.01; Figure) compared to the control group. In the PS-matched cohort (n=82 vs. 47), there were no significant differences in the baseline characteristics (P>0.50 for all comparisons). Similar to the main analysis, the PS-matched analysis demonstrated lower risk of the outcome event in the bariatric surgery group in the 7–12 months post-surgery period (OR 0.26; 95% CI, 0.083–0.73; P=0.01). The IPTW analysis also replicated the findings (OR 0.33; 95% CI, 0.16–0.71; P=0.004 during the 7–12 months post-surgery period).
Conclusion
In this population-based study of 207 adults with obesity and HCM, bariatric surgery was associated with a lower risk of acute cardiovascular events in the 7–12 months post-surgery period in real-world settings.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institute of Health (USA) and American Heart Association
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Wada H, Shinozaki T, Suzuki M, Sakagami S, Ajiro Y, Funada J, Matsuda M, Shimizu M, Takenaka T, Morita Y, Yonezawa K, Kotani K, Abe M, Akao M, Hasegawa K. Impact of atrial fibrillation on soluble fms-like tyrosine kinase-1 and cardiovascular events in patients with suspected or known coronary artery disease: the EXCEED-J study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1390] [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
Soluble fms-like tyrosine kinase-1 (sFlt-1), a vascular endothelial growth factor (VEGF) antagonist, has been suggested as a marker of endothelial dysfunction. Circulating sFlt-1 levels are associated with adverse outcomes in patients with preeclampsia, chronic kidney disease, and heart failure. Atrial fibrillation (AF) and coronary artery disease (CAD) are both associated with endothelial dysfunction. However, whether sFlt-1 can predict cardiovascular (CV) events and whether AF modifies the relationship between sFlt-1 and CV events in patients with suspected or known CAD are unknown.
Methods
We performed a nationwide, multicenter, prospective cohort study to determine the prognostic value of sFlt-1 and other biomarkers in patients with suspected or known CAD undergoing elective angiography. Heparin-free fasting serum was collected from the peripheral vein to determine levels of sFlt-1, VEGF, placental growth factor, cystatin C, neutrophil gelatinase-associated lipocalin, N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin-I (hs-cTnI), and high-sensitivity C-reactive protein (hs-CRP). The primary outcome was 3-point major adverse CV events (3P-MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke. The secondary outcomes were all-cause death, CV death, and 5P-MACE defined as a composite of 3P-MACE, heart failure hospitalization, and coronary/peripheral artery revascularization.
Results
3311 patients were consecutively enrolled between Nov 2013 and May 2017. After excluding 56 ineligible patients, 3255 patients (324 AF and 2931 non-AF) were followed up over 3 years (follow-up rate, 99%). During the follow-up, 156 patients developed 3P-MACE, 215 died from any cause, 82 died from cardiovascular disease, and 1361 developed 5P-MACE. The sFlt-1 level was significantly higher in AF compared to non-AF patients (p<0.001). Stepwise regression analysis revealed that the sFlt-1 level was independently associated with AF. After adjusting for potential clinical confounders, serum levels of sFlt-1, NT-proBNP, hs-cTnI and cystatin C, but not other biomarkers, were significantly associated with 3P-MACE in the entire cohort. These associations were still significant in non-AF patients, whereas only the sFlt-1 level was significantly associated with 3P-MACE in AF patients. Serum levels of sFlt-1, but not other biomarkers, were also significantly associated with CV death in AF patients. Among the biomarkers, only the hs-CRP level was significantly associated with all-cause death, and no biomarker was significantly associated with 5P-MACE in AF patients. Furthermore, sFlt-1 provided an incremental prognostic information for 3P-MACE to the model with potential clinical confounders in AF, but not in non-AF patients.
Conclusions
Serum levels of sFlt-1 were significantly associated with 3P-MACE in patients with suspected or known CAD. This association was pronounced in AF patients.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The EXCEED-J study is supported by Health Labour Sciences Research Grant (2013-2014), AMED (2015-2017, Grant Number JP17ek0210008) and Grant-in-Aid for Clinical Research from the National Hospital Organization (2018-2020).
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Shimada YJ, Raita Y, Liang LW, Maurer MS, Hasegawa K, Fifer MA, Reilly MP. Comprehensive proteomics profiling reveals molecular pathways that are differentially regulated in hypertrophic cardiomyopathy and correlate with clinical markers of disease severity. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1777] [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 caused by mutations in the genes coding for proteins essential in normal myocardial contraction. However, it remains unclear through which molecular pathways gene mutations mediate the development and progression of HCM.
Purpose
To determine protein biomarkers and molecular pathways that are differentially regulated in HCM and correlated with disease severity.
Methods
We conducted a multicenter case-control study of cases with HCM and controls with hypertensive left ventricular hypertrophy. We carried out plasma proteomics profiling of 1681 proteins using the SOMAscan assay. We performed a sparse partial least squares discriminant analysis to develop a proteomics-based discrimination model with data from 1 institution (i.e., the training set). We tested the discriminative ability in independent samples from the other institutions (i.e., the test set). We executed pathway analysis using significantly dysregulated proteins with Bonferroni-corrected p<0.05. Pathways with false discovery rate (FDR) <0.05 and dysregulation of ≥5 member proteins were declared positive. In HCM, we also identified proteins with significant correlation with clinical markers of disease severity (e.g., New York Heart Association [NYHA] class, left atrial diameter) and performed pathway analysis.
Results
The study included 266 cases and 167 controls (n=308 in the training set; n=125 in the test set). Using the proteomics-based model derived from the training set, the area under the receiver-operating-characteristic curve was 0.89 (95% confidence interval [CI] 0.83–0.94, p<0.001) in the test set (Figure). The sensitivity was 0.84 (95% CI 0.76–0.92) and the specificity was 0.78 (95% CI 0.66–0.90). A total of 508 proteins were significantly associated with the disease status. As shown in the Table, pathway analysis revealed that the Ras-MAPK pathway, along with its upstream and downstream (e.g., Rap1, PI3K-Akt) pathways, was upregulated in HCM (FDR <0.001). Pathways involved in inflammation and fibrosis – e.g., the TGF-β pathway – were also found to be upregulated in HCM. In patients with HCM, 207 out of the 1681 proteins were significantly correlated with NYHA functional class. This number is more than twice as large as what would be expected by chance (i.e., 84 proteins at α=0.05 level). Pathway analysis of these 207 proteins showed upregulation of the Ras-MAPK and related pathways – e.g., PI3K-Akt, Rap1, and TNF. Similarly, 264 of the 1681 proteins were correlated with left atrial diameter in HCM. Pathway analysis of the 264 proteins revealed upregulation of the MAPK and the PI3K-Akt pathways.
Conclusions
This multicenter case-control study with independent validation serves as the largest-scale investigation with the most comprehensive proteomics profiling in HCM, exhibiting both novel (e.g., Ras-MAPK) and known (e.g., TGF-β) pathways that are differentially regulated in HCM and correlated with disease severity.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institute of Health and American Heart Association Figure 1. ROC curveTable 1. Differentially regulated pathways
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Lander BS, Zhao Y, Hasegawa K, Maurer MS, Fifer MA, Reilly MP, Shimada YJ. Comprehensive proteomics profiling identifies patients with late gadolinium enhancement on cardiac magnetic resonance imaging in the hypertrophic cardiomyopathy population. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1764] [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
Introduction
Late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR) represents myocardial fibrosis. In patients with hypertrophic cardiomyopathy (HCM), LGE on CMR has been associated with an increased risk of sudden cardiac death (SCD), which can be prevented with implantable cardioverter-defibrillators. Yet, CMR is expensive, resource-intensive, and, in certain patients, contraindicated. Therefore, it is important to determine which patients with HCM have a high pre-test probability of LGE on CMR. Proteomics profiling is a recently developed technology that simultaneously measures thousands of protein concentrations in plasma with a single blood draw. To date, no studies have examined the ability of proteomics profiling to identify which patients with HCM are more likely to have LGE on CMR.
Purpose
To test the hypothesis that plasma proteomics profiling can distinguish patients with and without LGE on CMR in the HCM population.
Methods
We performed a multicenter case-control (i.e., LGE vs. no LGE) study of 147 patients with HCM who underwent CMR between July 2006 and October 2020. We carried out plasma proteomics profiling of 4979 proteins using the SOMAscan assay. Using the 17 most discriminant proteins, we performed logistic regression analysis with elastic net regularization to develop a discrimination model with data from 1 institution (the training set; n=111) and tested the discriminative ability in independent samples from the other institution (the test set; n=36). We calculated the area under the receiver-operating-characteristic curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Furthermore, we performed pathway analysis of proteins that were differentially regulated between patients with and without LGE with p<0.05.
Results
The mean age was 57 years and 67% were male. Overall, 82 of the 147 patients (56%) had LGE on CMR. The AUC of the 17-protein model was 0.83 (95% CI, 0.75–0.90) in the training set and 0.71 in the independent test set for validation (95% CI, 0.54–0.88; Figure). The sensitivity, specificity, PPV, and NPV are shown in the Figure. The pathway analysis revealed that multiple signaling pathways were dysregulated in patients with LGE (Table). The list included signaling pathways that have been previously associated with myocardial fibrosis (e.g., pathways related to inflammation) and previously unrecognized pathways (e.g., glycolysis, amino acid metabolism).
Conclusions
In this multicenter study of 147 patients with HCM, comprehensive proteomics profiling identified a panel of 17 plasma protein biomarkers to specify patients with LGE on CMR and revealed associated signaling pathways. This 17-protein plasma protein biomarker panel would help physicians specify patients with LGE, in whom CMR is more likely to change the clinical management of HCM.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): National Institute of Health, USA
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Colombo N, Dubot C, Lorusso D, Cáceres V, Hasegawa K, Shapira-Frommer R, Tewari K, Salman P, Hoyos E, Yañez E, Gumus M, Olivera Hurtado de Mendoza M, Samouëlian V, Castonguay V, Arkhipov A, Toker S, Li K, Keefe S, Monk B. LBA2 Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for persistent, recurrent, or metastatic cervical cancer: Randomized, double-blind, phase III KEYNOTE-826 study. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.2108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Hasegawa K, Nishikawa T, Hirakawa A, Kawasaki M, Tomatsuri S, Nagasaka Y, Nakamura K, Matsumoto K, Mori M, Hirashima Y, Takehara K, Ariyoshi K, Kato T, Yagishita S, Hamada A, Yoshida H, Yonemori K. 813P Efficacy and safety of trastuzumab deruxtecan in HER2-expressing uterine carcinosarcoma (STATICE trial, NCCH1615): A multicenter, phase II clinical trial. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1255] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Yagishita S, Nishikawa T, Yoshida H, Shintani D, Sato S, Miwa M, Suzuki M, Yasuda M, Yonemori K, Hasegawa K, Hamada A. 1767P Co-clinical PDX study of trastuzumab deruxtecan in HER2-positive uterine carcinosarcoma (STATICE trial, NCCH1615). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Takayama T, Yamazaki S, Matsuyama Y, Midorikawa Y, Shiina S, Izumi N, Hasegawa K, Kokudo N, Sakamoto M, Kubo S, Kudo M, Murakami T, Nakashima O. Prognostic grade for resecting hepatocellular carcinoma: multicentre retrospective study. Br J Surg 2021; 108:412-418. [PMID: 33793713 DOI: 10.1093/bjs/znaa109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/31/2020] [Accepted: 11/03/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Surgical treatment for hepatocellular carcinoma (HCC) is advancing, but a robust prediction model for survival after resection is not available. The aim of this study was to propose a prognostic grading system for resection of HCC. METHODS This was a retrospective, multicentre study of patients who underwent first resection of HCC with curative intent between 2000 and 2007. Patients were divided randomly by a cross-validation method into training and validation sets. Prognostic factors were identified using a Cox proportional hazards model. The predictive model was built by decision-tree analysis to define the resection grades, and subsequently validated. RESULTS A total of 16 931 patients from 795 hospitals were included. In the training set (8465 patients), four surgical grades were classified based on prognosis: grade A1 (1236 patients, 14.6 per cent; single tumour 3 cm or smaller and anatomical R0 resection); grade A2 (3614, 42.7 per cent; single tumour larger than 3 cm, or non-anatomical R0 resection); grade B (2277, 26.9 per cent; multiple tumours, or vascular invasion, and R0 resection); and grade C (1338, 15.8 per cent; multiple tumours with vascular invasion and R0 resection, or R1 resection). Five-year survival rates were 73.9 per cent (hazard ratio (HR) 1.00), 64.7 per cent (HR 1.51, 95 per cent c.i. 1.29 to 1.78), 50.6 per cent (HR 2.53, 2.15 to 2.98), and 34.8 per cent (HR 4.60, 3.90 to 5.42) for grades A1, A2, B, and C respectively. In the validation set (8466 patients), the grades had equivalent reproducibility for both overall and recurrence-free survival (all P < 0.001). CONCLUSION This grade is used to predict prognosis of patients undergoing resection of HCC.
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Dzitko H, Cara P, Carin Y, Chel S, Facco A, Gex D, Hasegawa K, Kasugai A, Kondo K, Massaut V, Molla J, Phillips G, Pisent A, Sakamoto K, Sugimoto M. Status and future developments of the Linear IFMIF Prototype Accelerator (LIPAc). FUSION ENGINEERING AND DESIGN 2021. [DOI: 10.1016/j.fusengdes.2021.112621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Benjamin MG, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bhandari AV, Bhattacharjee D, Bhaumik S, Bidler J, Bilenko IA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Cadonati L, Caesar M, Cagnoli G, Cahillane C, Cain HW, Calderón Bustillo J, Callaghan JD, Callister TA, Calloni E, Camp JB, Canepa M, Cannavacciuolo M, Cannon KC, Cao H, Cao J, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carullo G, Carver TL, Casanueva Diaz J, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Champion B, Chan CH, Chan C, Chan CL, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen A, Chen C, Chen HY, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiang CY, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choate S, Choudhary RK, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Cousins B, Couvares P, Covas PB, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cuoco E, Curyło M, Canton TD, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, Dean R, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, 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 MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Du Z, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Easter PJ, Ebersold M, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Enomoto Y, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Fan X, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Feng F, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Flynn E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge G, Gemme G, Gennai A, George J, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimes E, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerrero JG, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson 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AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevd.97.102002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 05/21/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Giovanni F, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Du Z, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Easter PJ, Ebersold M, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Enomoto Y, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Fan X, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Feng F, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Flynn E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge G, Gemme G, Gennai A, George J, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimes E, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerrero JG, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall ED, Hamilton EZ, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen H, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hartwig D, Hasegawa K, Haskell B, Hasskew RK, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell AF, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Hennig MH, Hernandez Vivanco F, Heurs M, Hild S, Hill P, Himemoto Y, Hines AS, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann JN, Holgado AM, Holland NA, Hollows IJ, Holmes ZJ, Holt K, Holz DE, Hong Z, Hopkins P, Hough J, Howell EJ, Hoy CG, Hoyland D, Hreibi A, Hsieh B, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang YW, Hübner MT, Huddart AD, Huerta EA, Hughey B, Hui DCY, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Inchauspe H, Ingram C, Inoue Y, Intini G, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer BR, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jan AZ, Jani K, Janssens K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jeon C, Jeunon M, Jia W, Jiang J, Jin HB, Johns GR, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner JB, Kao Y, Kapadia SJ, Kapasi DP, 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 JS, Khadka S, Khalili FY, Khan I, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim J, Kim K, Kim WS, Kim YM, Kimball C, Kimura N, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee AM, Knowles TD, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu NV, Królak A, Kuehn G, Kuei F, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kwak K, Kwang S, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leon E, Leonardi M, Leroy N, Letendre N, Levin Y, Leviton JN, Li AKY, Li B, Li J, Li KL, Li TGF, Li X, Lin CY, Lin FK, Lin FL, Lin HL, Lin LCC, Linde F, Linker SD, Linley JN, Littenberg TB, Liu GC, Liu J, Liu K, Liu X, Llorens-Monteagudo M, Lo RKL, Lockwood A, Lollie ML, London LT, Longo A, Lopez D, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Luo LW, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magazzù C, Magee RM, Maggiore R, Majorana E, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mir LM, Mishkin A, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Nadji SL, Nagano K, Nagano S, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak RK, Negishi R, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nguyen Quynh L, Ni WT, Nichols SA, Nishizawa A, Nissanke S, Nocera F, Noh M, Norman M, North C, Nozaki S, Nuttall LK, Oberling J, O'Brien BD, Obuchi Y, O'Dell J, Ogaki W, Oganesyan G, Oh JJ, Oh K, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Oshino S, Ossokine S, Osthelder C, Otabe S, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan K, Panda PK, Pang H, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Paolone A, Parisi A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Patricelli B, Payne E, Pechsiri TC, Pedraza M, Pegoraro M, Pele A, Peña Arellano FE, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pilo F, Pinard L, Pinto IM, Piotrzkowski BJ, Piotrzkowski K, Pirello M, Pitkin M, Placidi E, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ratto B, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reitze DH, Relton P, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Richardson L, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rocha JA, Rodriguez S, Rodriguez-Soto RD, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romero A, Romero-Shaw IM, Romie JH, Rose CA, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sato S, Sato T, Sauter O, Savage RL, Savant V, Sawada T, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schindler-Tyka A, Schmidt P, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Seo EG, Sequino V, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Shao L, Sharifi S, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shen H, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Somala SN, Somiya K, Son EJ, Soni K, Soni S, Sorazu B, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Südbeck J, Sudhagar S, Sudhir V, Sugimoto R, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk AJ, Tanioka S, Tanner DB, Tao D, Tapia A, Tapia San Martin EN, Tapia San Martin EN, Tasson JD, Telada S, Tenorio R, Terkowski L, Test M, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tolley AE, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Torres-Forné A, Torrie CI, Tosta E Melo I, Töyrä D, Trapananti A, Travasso F, Traylor G, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tsang T, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turconi M, Tuyenbayev D, Ubhi AS, Uchikata N, Uchiyama T, Udall RP, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Utina AC, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Putten MHPM, van Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venneberg J, Venugopalan G, Verkindt D, Verma Y, Veske D, Vetrano F, Viceré A, Viets AD, Villa-Ortega V, Vinet JY, Vitale S, Vo T, Vocca H, von Reis ERG, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang J, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washimi T, Washington NY, Watchi J, Weaver B, Wei L, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Westhouse JW, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wrangel J, Wu C, Wu DS, Wu H, Wu S, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang FW, Yang L, Yang Y, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevlett.126.241102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 06/13/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Kawaguchi Y, Kopetz S, Tran Cao HS, Panettieri E, De Bellis M, Nishioka Y, Hwang H, Wang X, Tzeng CWD, Chun YS, Aloia TA, Hasegawa K, Guglielmi A, Giuliante F, Vauthey JN. Contour prognostic model for predicting survival after resection of colorectal liver metastases: development and multicentre validation study using largest diameter and number of metastases with RAS mutation status. Br J Surg 2021; 108:968-975. [PMID: 33829254 DOI: 10.1093/bjs/znab086] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/18/2020] [Accepted: 02/11/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Most current models for predicting survival after resection of colorectal liver metastasis include largest diameter and number of colorectal liver metastases as dichotomous variables, resulting in underestimation of the extent of risk variation and substantial loss of statistical power. The aim of this study was to develop and validate a new prognostic model for patients undergoing liver resection including largest diameter and number of colorectal liver metastases as continuous variables. METHODS A prognostic model was developed using data from patients who underwent liver resection for colorectal liver metastases at MD Anderson Cancer Center and had RAS mutational data. A Cox proportional hazards model analysis was used to develop a model based on largest colorectal liver metastasis diameter and number of metastases as continuous variables. The model results were shown using contour plots, and validated externally in an international multi-institutional cohort. RESULTS A total of 810 patients met the inclusion criteria. Largest colorectal liver metastasis diameter (hazard ratio (HR) 1.11, 95 per cent confidence interval 1.06 to 1.16; P < 0.001), number of colorectal liver metastases (HR 1.06, 1.03 to 1.09; P < 0.001), and RAS mutation status (HR 1.76, 1.42 to 2.18; P < 0.001) were significantly associated with overall survival, together with age, primary lymph node metastasis, and prehepatectomy chemotherapy. The model performed well in the external validation cohort, with predicted overall survival values almost lying within 10 per cent of observed values. Wild-type RAS was associated with better overall survival than RAS mutation even when liver resection was performed for larger and/or multiple colorectal liver metastases. CONCLUSION The contour prognostic model, based on diameter and number of lesions considered as continuous variables along with RAS mutation, predicts overall survival after resection of colorectal liver metastasis.
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Yang ZH, Kubota Y, Corsi A, Yoshida K, Sun XX, Li JG, Kimura M, Michel N, Ogata K, Yuan CX, Yuan Q, Authelet G, Baba H, Caesar C, Calvet D, Delbart A, Dozono M, Feng J, Flavigny F, Gheller JM, Gibelin J, 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, Marqués FM, Motobayashi T, Miyazaki T, Nakamura T, Nakatsuka N, Nishio Y, Obertelli A, Ohkura A, Orr NA, Ota S, Otsu H, Ozaki T, Panin V, Paschalis S, Pollacco EC, Reichert S, Roussé 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, Xu FR, Yasuda J, Yoneda K, Zenihiro J, Zhou SG, Zuo W, Uesaka T. Quasifree Neutron Knockout Reaction Reveals a Small s-Orbital Component in the Borromean Nucleus ^{17}B. PHYSICAL REVIEW LETTERS 2021; 126:082501. [PMID: 33709737 DOI: 10.1103/physrevlett.126.082501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/07/2020] [Accepted: 01/27/2021] [Indexed: 06/12/2023]
Abstract
A kinematically complete quasifree (p,pn) experiment in inverse kinematics was performed to study the structure of the Borromean nucleus ^{17}B, which had long been considered to have a neutron halo. By analyzing the momentum distributions and exclusive cross sections, we obtained the spectroscopic factors for 1s_{1/2} and 0d_{5/2} orbitals, and a surprisingly small percentage of 9(2)% was determined for 1s_{1/2}. Our finding of such a small 1s_{1/2} component and the halo features reported in prior experiments can be explained by the deformed relativistic Hartree-Bogoliubov theory in continuum, revealing a definite but not dominant neutron halo in ^{17}B. The present work gives the smallest s- or p-orbital component among known nuclei exhibiting halo features and implies that the dominant occupation of s or p orbitals is not a prerequisite for the occurrence of a neutron halo.
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Kubota Y, Corsi A, Authelet G, Baba H, Caesar C, Calvet D, Delbart A, Dozono M, Feng J, Flavigny F, Gheller JM, Gibelin J, Giganon A, Gillibert A, Hasegawa K, Isobe T, Kanaya Y, Kawakami S, Kim D, Kikuchi Y, Kiyokawa Y, Kobayashi M, Kobayashi N, Kobayashi T, Kondo Y, Korkulu Z, Koyama S, Lapoux V, Maeda Y, Marqués FM, Motobayashi T, Miyazaki T, Nakamura T, Nakatsuka N, Nishio Y, Obertelli A, Ogata K, Ohkura A, Orr NA, Ota S, Otsu H, Ozaki T, Panin V, Paschalis S, Pollacco EC, Reichert S, Roussé 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, Yang ZH, Yasuda J, Yoneda K, Zenihiro J, Uesaka T. Surface Localization of the Dineutron in ^{11}Li. PHYSICAL REVIEW LETTERS 2020; 125:252501. [PMID: 33416401 DOI: 10.1103/physrevlett.125.252501] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/28/2020] [Accepted: 10/08/2020] [Indexed: 06/12/2023]
Abstract
The formation of a dineutron in the ^{11}Li nucleus is found to be localized to the surface region. The experiment measured the intrinsic momentum of the struck neutron in ^{11}Li via the (p,pn) knockout reaction at 246 MeV/nucleon. The correlation angle between the two neutrons is, for the first time, measured as a function of the intrinsic neutron momentum. A comparison with reaction calculations reveals the localization of the dineutron at r∼3.6 fm. The results also support the density dependence of dineutron formation as deduced from Hartree-Fock-Bogoliubov calculations for nuclear matter.
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