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Menotti A, Puddu PE, Piras P. Cardiovascular Risk Factors Predicting Cardiovascular and Cancer Deaths in a Middle-Aged Population Followed-Up for 61 Years until Extinction. J Cardiovasc Dev Dis 2024; 11:240. [PMID: 39195148 DOI: 10.3390/jcdd11080240] [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: 07/01/2024] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND AND AIM To study the relationships of cardiovascular risk factors with cancer and cardiovascular mortality in a cohort of middle-aged men followed-up for 61 years. MATERIALS AND METHODS A rural cohort of 1611 cancer- and cardiovascular disease-free men aged 40-59 years was examined in 1960 within the Italian Section of the Seven Countries Study, and 28 risk factors measured at baseline were used to predict cancer (n = 459) and cardiovascular deaths (n = 678) that occurred during 61 years of follow-up until the extinction of the cohort with Cox proportional hazard models. RESULTS A model with 28 risk factors and cancer deaths as the end-point produced eight statistically significant coefficients for age, smoking habits, mother early death, corneal arcus, xanthelasma and diabetes directly related to events, and arm circumference and healthy diet inversely related. In the corresponding models for major cardiovascular diseases and their subgroups, only the coefficients of age and smoking habits were significant among those found for cancer deaths, to which healthy diet can be added if considering coronary heart disease alone. Following a competing risks analysis by the Fine-Gray method, risk factors significantly common to both conditions were only age, smoking, and xanthelasma. CONCLUSIONS A sizeable number of traditional cardiovascular risk factors were not predictors of cancer death in a middle-aged male cohort followed-up until extinction.
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Affiliation(s)
| | - Paolo Emilio Puddu
- Association for Cardiac Research, 00182 Rome, Italy
- EA 4650, Signalisation, Électrophysiologie et Imagerie des Lésions D'ischémie Reperfusion Myocardique, Normandie Université, UNICAEN, 14000 Caen, France
| | - Paolo Piras
- Department of Structural Engineering, Sapienza University of Rome, 00185 Rome, Italy
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Pasqualetti F, Gabelloni M, Faggioni L, Aquaro GD, De Vietro F, Mendola V, Spina N, Frey J, Montemurro N, Cantarella M, Caccese M, Gadducci G, Giannini N, Valenti S, Morganti R, Ius T, Caffo M, Vergaro G, Cosottini M, Naccarato AG, Lombardi G, Bocci G, Neri E, Paiar F. Glioblastoma and Internal Carotid Artery Calcium Score: A Possible Novel Prognostic Partnership? J Clin Med 2024; 13:1512. [PMID: 38592330 PMCID: PMC10933913 DOI: 10.3390/jcm13051512] [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: 01/23/2024] [Revised: 02/24/2024] [Accepted: 02/29/2024] [Indexed: 04/10/2024] Open
Abstract
Purpose: Clinical evidence suggests an association between comorbidities and outcome in patients with glioblastoma (GBM). We hypothesised that the internal carotid artery (ICA) calcium score could represent a promising prognostic biomarker in a competing risk analysis in patients diagnosed with GBM. Methods: We validated the use of the ICA calcium score as a surrogate marker of the coronary calcium score in 32 patients with lung cancer. Subsequently, we assessed the impact of the ICA calcium score on overall survival in GBM patients treated with radio-chemotherapy. Results: We analysed 50 GBM patients. At the univariate analysis, methyl-guanine-methyltransferase gene (MGMT) promoter methylation (p = 0.048), gross total tumour resection (p = 0.017), and calcium score (p = 0.011) were significant prognostic predictors in patients with GBM. These three variables also maintained statistical significance in the multivariate analysis. Conclusions: the ICA calcium score could be a promising prognostic biomarker in GBM patients.
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Affiliation(s)
- Francesco Pasqualetti
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
| | - Michela Gabelloni
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, 56126 Pisa, Italy;
| | - Lorenzo Faggioni
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Giovanni Donato Aquaro
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Fabrizio De Vietro
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Vincenzo Mendola
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Nicola Spina
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Jessica Frey
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Nicola Montemurro
- Department of Neurosurgery, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy;
| | - Martina Cantarella
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
| | - Mario Caccese
- Oncology Unit 1, Department of Oncology, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy; (M.C.); (G.L.)
| | - Giovanni Gadducci
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
| | - Noemi Giannini
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
| | - Silvia Valenti
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
| | - Riccardo Morganti
- Section of Statistics, University Hospital of Pisa, 56124 Pisa, Italy;
| | - Tamara Ius
- Neurosurgery Unit, Head-Neck and NeuroScience Department, University Hospital of Udine, 33100 Udine, Italy;
| | - Maria Caffo
- Department of Neurosurgery, University of Messina, 98122 Messina, Italy;
| | - Giuseppe Vergaro
- Interdisciplinary Center for Health Sciences, Scuola Superiore Sant’Anna, 56127 Pisa, Italy;
- Cardiology Division, Fondazione Toscana Gabriele Monasterio, 56127 Pisa, Italy
| | - Mirco Cosottini
- Department of Neuroradiology, University of Pisa, 56126 Pisa, Italy;
| | - Antonio Giuseppe Naccarato
- Division of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Giuseppe Lombardi
- Oncology Unit 1, Department of Oncology, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy; (M.C.); (G.L.)
| | - Guido Bocci
- Department of Clinical and Experimental Medicine, Clinical Pharmacology, University of Pisa, 56126 Pisa, Italy
| | - Emanuele Neri
- Academic Radiology, Department of Translational Research, University of Pisa, 56126 Pisa, Italy; (L.F.); (G.D.A.); (F.D.V.); (V.M.); (N.S.); (J.F.); (E.N.)
| | - Fabiola Paiar
- Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, 56123 Pisa, Italy; (M.C.); (G.G.); (N.G.); (S.V.); (F.P.)
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Mikail N, Chequer R, Imperiale A, Meisel A, Bengs S, Portmann A, Gimelli A, Buechel RR, Gebhard C, Rossi A. Tales from the future-nuclear cardio-oncology, from prediction to diagnosis and monitoring. Eur Heart J Cardiovasc Imaging 2023; 24:1129-1145. [PMID: 37467476 PMCID: PMC10501471 DOI: 10.1093/ehjci/jead168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/07/2023] [Indexed: 07/21/2023] Open
Abstract
Cancer and cardiovascular diseases (CVD) often share common risk factors, and patients with CVD who develop cancer are at high risk of experiencing major adverse cardiovascular events. Additionally, cancer treatment can induce short- and long-term adverse cardiovascular events. Given the improvement in oncological patients' prognosis, the burden in this vulnerable population is slowly shifting towards increased cardiovascular mortality. Consequently, the field of cardio-oncology is steadily expanding, prompting the need for new markers to stratify and monitor the cardiovascular risk in oncological patients before, during, and after the completion of treatment. Advanced non-invasive cardiac imaging has raised great interest in the early detection of CVD and cardiotoxicity in oncological patients. Nuclear medicine has long been a pivotal exam to robustly assess and monitor the cardiac function of patients undergoing potentially cardiotoxic chemotherapies. In addition, recent radiotracers have shown great interest in the early detection of cancer-treatment-related cardiotoxicity. In this review, we summarize the current and emerging nuclear cardiology tools that can help identify cardiotoxicity and assess the cardiovascular risk in patients undergoing cancer treatments and discuss the specific role of nuclear cardiology alongside other non-invasive imaging techniques.
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Affiliation(s)
- Nidaa Mikail
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Renata Chequer
- Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018 Paris, France
| | - Alessio Imperiale
- Nuclear Medicine, Institut de Cancérologie de Strasbourg Europe (ICANS), University Hospitals of Strasbourg, 67093 Strasbourg, France
- Molecular Imaging-DRHIM, IPHC, UMR 7178, CNRS/Unistra, 67093 Strasbourg, France
| | - Alexander Meisel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Kantonsspital Glarus, Burgstrasse 99, 8750 Glarus, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
| | - Alessia Gimelli
- Imaging Department, Fondazione CNR/Regione Toscana Gabriele Monasterio, Via G. Moruzzi 1, 56124 Pisa, Italy
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
| | - Cathérine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
- Department of Cardiology, University Hospital Inselspital Bern, Freiburgstrasse 18, 3010 Bern, Switzerland
| | - Alexia Rossi
- Department of Nuclear Medicine, University Hospital Zurich, Rämistrasse 100, 8091 Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, Wagistrasse 12, 8952 Schlieren, Switzerland
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Campolo J, Borghini A, Parolini M, Mercuri A, Turchi S, Andreassi MG. Clinical and Biological Predictors of Cancer Incidence and Mortality in Patients with Stable Coronary Artery Disease. Int J Mol Sci 2023; 24:11091. [PMID: 37446269 DOI: 10.3390/ijms241311091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Clinical and epidemiological evidence has recently revealed a link between coronary artery disease (CAD) and cancer. Shared risk factors and common biological pathways are probably involved in both pathological conditions. The aim of this paper was to evaluate whether and which conventional risk factors and novel circulating biomarkers could predict cancer incidence and death in patients with CAD. The study included 750 CAD patients, who underwent blood sampling for the evaluation of systemic inflammatory indexes (NLR and SII) and specific biomarkers of oxidative damage (leukocyte telomere length (LTL), mitochondrial DNA copy number (mtDNAcn)). Study participants were followed up for a mean of 5.4 ± 1.2 years. Sixty-seven patients (8.9%) developed cancer during the follow-up time, and nineteen (2.5%) died of cancer. Cox multivariable analysis revealed that age (HR = 1.071; 95% CI: 1.034-1.109; p < 0.001), smoking habit (HR = 1.994; 95% CI: 1.140-3.488; p = 0.016), obesity (HR = 1.708; 95% CI: 1.022-2.854; p = 0.041) and SII (HR = 1.002; 95% CI: 1.001-1.003; p = 0.045) were associated with cancer incidence, while only age (HR = 1.132; 95% CI: 1.052-1.219; p = 0.001) was a predictor of cancer death. Patients with lung and gastrointestinal cancers had significantly higher median mtDNAcn levels than those without cancer. Our study suggests that aggressive risk factor modification and suppression of chronic inflammation may be essential to preventing cancer in CAD patients.
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Affiliation(s)
- Jonica Campolo
- CNR Institute of Clinical Physiology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | | | - Marina Parolini
- CNR Institute of Clinical Physiology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
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Aloizou AM, Palaiodimou L, Aloizou D, Dardiotis E, Gold R, Tsivgoulis G, Krogias C. Acute reperfusion treatment and secondary prevention of cancer-related stroke: comprehensive overview and proposal of clinical algorithm. Ther Adv Neurol Disord 2023; 16:17562864231180717. [PMID: 37342814 PMCID: PMC10278431 DOI: 10.1177/17562864231180717] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/20/2023] [Indexed: 06/23/2023] Open
Abstract
Cancer-related stroke (CRS), referring to ischemic stroke occurring in cancer patients without other clear etiology, represents a clinical challenge, as it is associated with unfavorable clinical outcomes including high rates of recurrence and mortality. There are scarce international recommendations and limited consensus statements on CRS management. For this comprehensive overview, the available studies/reviews/meta-analyses on the use of acute reperfusion and secondary prevention treatments for cancer patients with ischemic stroke, focusing on antithrombotic agents, were collected and summarized. A practical management algorithm was designed per the available data. In short, acute reperfusion in the form of intravenous thrombolysis and mechanical thrombectomy appears to be safe in CRS and can be considered for eligible patients, though the functional outcomes are often poor, and mostly defined by the preexisting condition. Many patients carry indications for anticoagulation, in which case vitamin K antagonists are not preferred, while low-molecular weight heparins remain the treatment of choice; direct oral anticoagulants can be alternatively considered but are contraindicated for gastrointestinal malignancies. For patients without clear anticoagulation indications, no net benefit for anticoagulation compared to aspirin has been shown. Other targeted treatment options should be evaluated in an individualized approach, alongside the appropriate management of conventional cerebrovascular risk factors. Oncological treatment should be swiftly initiated/continued. In conclusion, acute CRS remains a clinical challenge, with many patients suffering recurrent stroke, despite preventive measures. More randomized-controlled clinical trials are urgently needed to pinpoint the most effective management options for this subset of stroke patients.
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Affiliation(s)
| | - Lina Palaiodimou
- Second Department of Neurology, School of Medicine, ‘Attikon’ University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitra Aloizou
- Department of Nursing, National and Kapodistrian University of Athens, Athens, Greece
| | - Efthimios Dardiotis
- Department of Neurology, Laboratory of Neurogenetics, University of Thessaly, University Hospital of Larissa, Larissa, Greece
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Georgios Tsivgoulis
- Second Department of Neurology, School of Medicine, ‘Attikon’ University Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Department of Neurology, The University of Tennessee Health Science Center, Memphis, TN, USA
| | - Christos Krogias
- Department of Neurology, Evangelisches Krankenhaus Herne, Ruhr University Bochum, Bochum, Germany
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Mabudian L, Jordan JH, Bottinor W, Hundley WG. Cardiac MRI assessment of anthracycline-induced cardiotoxicity. Front Cardiovasc Med 2022; 9:903719. [PMID: 36237899 PMCID: PMC9551168 DOI: 10.3389/fcvm.2022.903719] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/06/2022] [Indexed: 11/21/2022] Open
Abstract
The objective of this review article is to discuss how cardiovascular magnetic resonance (CMR) imaging measures left ventricular (LV) function, characterizes tissue, and identifies myocardial fibrosis in patients receiving anthracycline-based chemotherapy (Anth-bC). Specifically, CMR can measure LV ejection fraction (EF), volumes at end-diastole (LVEDV), and end-systole (LVESV), LV strain, and LV mass. Tissue characterization is accomplished through T1/T2-mapping, late gadolinium enhancement (LGE), and CMR perfusion imaging. Despite CMR’s accuracy and efficiency in collecting data about the myocardium, there are challenges that persist while monitoring a cardio-oncology patient undergoing Anth-bC, such as the presence of other cardiovascular risk factors and utility controversies. Furthermore, CMR can be a useful adjunct during cardiopulmonary exercise testing to pinpoint cardiovascular mediated exercise limitations, as well as to assess myocardial microcirculatory damage in patients undergoing Anth-bC.
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Affiliation(s)
- Leila Mabudian
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - Jennifer H. Jordan
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, United States
| | - Wendy Bottinor
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
| | - W. Gregory Hundley
- Division of Cardiology, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, United States
- *Correspondence: W. Gregory Hundley,
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The Relationship between Oxidative Stress and Subjective Sleep Quality in People with Coronary Artery Disease. Brain Sci 2022; 12:brainsci12081070. [PMID: 36009133 PMCID: PMC9406162 DOI: 10.3390/brainsci12081070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/25/2022] [Accepted: 08/05/2022] [Indexed: 12/02/2022] Open
Abstract
Background: (1) Sleep disorders are prevalent in coronary artery disease (CAD) patients and predict cardiac events and prognosis. While increased oxidative stress (OS) has been associated with sleep disorders, less is known about its relationship with sleep quality. Similarly, little is known of how this relationship might change with exercise, which can improve sleep quality. Factors of sleep quality, such as sleep duration and disturbances, are also important as they predict cardiovascular diseases better than a global score alone. This study investigated whether OS was associated with self-rated sleep quality and its factors before and after completing a 24-week exercise intervention. (2) Methods: CAD patients undergoing an exercise program were recruited. OS was measured at baseline by the concentrations of early- (lipid hydroperoxides, LPH) and late-stage (8-isoprostane, 8-ISO) lipid peroxidation products and their ratio. Sleep quality was measured by the self-reported Pittsburgh Sleep Quality Index (PSQI) instrument at baseline and termination. Three sleep factors—perceived sleep quality, sleep efficiency, and daily disturbances—were derived from the PSQI. (3) Results: Among CAD patients (n = 113, 85.0% male, age = 63.7 ± 6.4 years, global PSQI = 5.8 ± 4.0), those with poor sleep (PSQI ≥ 5) had higher baseline 8-ISO levels (F(1, 111) = 6.212, p = 0.014, ηp2 = 0.053) compared to those with normal sleep. Concentrations of LPH (F(1, 105) = 0.569, p = 0.453, ηp2 = 0.005) and 8-ISO/LPH ratios (F(1, 105) = 2.173, p = 0.143, ηp2 = 0.020) did not differ between those with poor sleep and normal sleep. Among factors, perceived sleep quality was associated with 8-ISO and 8-ISO/LPH, and daily disturbances were associated with 8-ISO. (4) Conclusions: A marker of late-stage lipid peroxidation is elevated in CAD patients with poor sleep and associated with daily disturbances, but not with other factors or with sleep quality and its factors after exercise intervention.
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