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Semprum-Clavier A, Rodriguez A, Salazar D, Afshari F, Manzotti A, Saleh-Hassan L, Viana M, Bedran-Russo A. Clinical Comparison of Three Indirect Pulp Capping Restorative Protocols: A Randomized Controlled Prospective Study. Oper Dent 2024; 49:11-19. [PMID: 38180467 DOI: 10.2341/22-094-c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVES The objective of this prospective double-blind clinical trial was to compare clinical outcomes of indirect pulp capping restorative protocols on permanent teeth over a 12-month period. METHODS AND MATERIALS Deep carious lesions in permanent teeth (90) were randomly assigned to three indirect pulp capping protocols (n=30: TheraCal LC, Dycal, and no liner). All teeth were restored with resin composite. The outcome measures were pain (VAS scale) and success rate (pulp vitality based on percussion, palpation, cold test, and radiographic findings), collected at screening, intervention, and 24-hour, 7-day, 3-month, 6-month, and 12-month follow-up visits. RESULTS There was no statistically significant difference in tooth sensitivity among the three indirect pulp capping protocols nor in success rates among the restorative protocols after 1 year of follow-up (p>0.1).The respective success rates, as defined by the tooth remaining vital, after 1 year were: 96.2% for TheraCal LC, 100% for Dycal, and 100% for no liner. CONCLUSIONS After 12-month evaluation, the success rate of indirect pulp capping therapy on permanent teeth was not affected by the pulp capping restorative protocol.
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Affiliation(s)
- A Semprum-Clavier
- *Adriana Semprum-Clavier, DDS, MS, clinical associate professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA ORCID ID: 0000-0003-1396-7520
| | - A Rodriguez
- Alexandra Rodriguez, DDS, MS, clinical associate professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
| | - D Salazar
- Daisy Salazar, DDS, MS, clinical associate professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
| | - F Afshari
- Fatemeh Afshari, DDS, MS, clinical professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
| | - A Manzotti
- Anna Manzotti, DDS, MS, clinical assistant professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
| | - L Saleh-Hassan
- Lina Saleh-Hassan, DDS, MS, clinical assistant professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
| | - M Viana
- Marlos Viana, DDS, MS, adjunct associate professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA, Department of Pharmaceutical Sciences, College of Pharmacy, University Illinois at Chicago, Chicago, IL, USA
| | - A Bedran-Russo
- Ana K Bedran-Russo, DDS, MS, PhD, professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, Chicago, IL, USA
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Dacunto P, Nam S, Hirn M, Rodriguez A, Owkes M, Benson M. Classroom aerosol dispersion modeling: experimental assessment of a low-cost flow simulation tool. Environ Sci Process Impacts 2023; 25:2157-2166. [PMID: 37966351 DOI: 10.1039/d3em00356f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
The purpose of this study was to assess the utility of a low-cost flow simulation tool for an indoor air modeling application by comparing its outputs with the results of a physical experiment, as well as those from a more advanced computational fluid dynamics (CFD) software package. Five aerosol dispersion tests were performed in two different classrooms by releasing a CO2 tracer gas from six student locations. Resultant steady-state concentrations were monitored at 13 locations around the periphery of the room. Subsequently, the experiments were modeled using both a low-cost tool (SolidWorks Flow Simulation) and a more sophisticated tool (STAR-CCM+). Models were evaluated based on their ability to predict the experimentally measured concentrations at the 13 monitoring locations by calculating four performance parameters commonly used in the evaluation of dispersion models: fractional mean bias (FB), normalized mean-square error (NMSE), fraction of predicted value within a factor of two (FAC2), and normalized absolute difference (NAD). The more sophisticated model performed better in 15 of the 20 possible cases (five tests at four parameters each), with parameters meeting acceptance criteria in 19 of 20 cases. However, the lower-cost tool was only slightly worse, with parameters meeting acceptance criteria in 18 of 20 cases, and it performed better than the other tool in 3 of 20 cases. Because it provides useful results at a fraction of the monetary and training cost and is already widely accessible to many institutions, such a tool may be worthwhile for many indoor aerosol dispersion applications, especially for students or researchers just beginning CFD modeling.
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Affiliation(s)
- P Dacunto
- United States Military Academy, Department of Geography and Environmental Engineering, West Point NY 10996, USA.
| | - S Nam
- United States Military Academy, Department of Geography and Environmental Engineering, West Point NY 10996, USA.
| | - M Hirn
- United States Military Academy, Department of Geography and Environmental Engineering, West Point NY 10996, USA.
| | - A Rodriguez
- United States Military Academy, Department of Civil and Mechanical Engineering, West Point NY 10996, USA
| | - M Owkes
- Montana State University, Department of Mechanical and Industrial Engineering, Bozeman MT 59717, USA
| | - M Benson
- United States Military Academy, Department of Civil and Mechanical Engineering, West Point NY 10996, USA
- Oak Ridge National Laboratory, Oak Ridge TN 37830, USA
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Oluwole I, Tan JBC, DeSouza S, Hutchinson M, Leigh RM, Cha M, Rodriguez A, Hou G, Rao SS, Narang A, Chou FS. The association between bronchopulmonary dysplasia grade and risks of adverse neurodevelopmental outcomes among preterm infants born at less than 30 weeks of gestation. J Matern Fetal Neonatal Med 2023; 36:2167074. [PMID: 36642443 DOI: 10.1080/14767058.2023.2167074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD) is a multifactorial disease with neurodevelopmental implications. This study aims to quantify the risks of adverse neurodevelopmental outcomes for each BPD grade among preterm infants born at less than 30 weeks' gestation. METHODS We retrospectively studied infants who received care in our institution until at least 36 weeks postmenstrual age and had a formal neurodevelopmental assessment in our infant follow-up clinic using the Bayley Scales for Infant and Toddler Development (BSID). We assessed the association between BPD grade and adverse neurodevelopmental outcomes using descriptive statistics and regression models. RESULTS Two hundred and fifty infants, including 89 (35.6%), 87 (34.8%), 65 (20.6%), and 9 (3.6%) with No BPD, Grade 1, Grade 2, and Grade 3 BPD, were included in the study. Small for gestational age, late pulmonary hypertension, dexamethasone administration, and adverse neurodevelopmental outcomes were more common as BPD grade increased. In a logistic regression analysis, Grades 2 and 3, but not Grade 1, BPD were associated with increased odds of a composite adverse neurodevelopmental outcome by 2.7 and 7.2 folds, respectively. A BSID domain-specific analysis showed that higher grades were associated with lower scores in the cognitive, gross motor, and fine motor domains. CONCLUSIONS Grades 2 and 3 BPD, but not Grade 1, correlate with risks of adverse neurodevelopmental outcomes at a grade-dependent manner in our single-center cohort retrospective study. Further validation using a multi-center large cohort is warranted.
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Affiliation(s)
- Izabela Oluwole
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - John B C Tan
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA.,Huckleberry Labs, Inc, Irvine, CA, USA
| | - Shirin DeSouza
- Division of General Pediatrics and Pediatric Hospital Medicine, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Rebekah M Leigh
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Minha Cha
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Gina Hou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Srinandini S Rao
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Arvind Narang
- Business intelligence and Data Governance, Loma Linda University Health, Loma Linda, CA, USA
| | - Fu-Sheng Chou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA.,Clinician Investigator Program, Southern California Permanente Medical Group, Pasadena, CA, USA.,Department of Neonatal-Perinatal Medicine, Kaiser Permanente Riverside Medical Center, Riverside, CA, USA
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Cujkevic-Plecko N, Rodriguez A, Anderson T, Rhodes J. Targeted temperature management and P btO 2 in traumatic brain injury. Brain Spine 2023; 3:102704. [PMID: 38105803 PMCID: PMC10724196 DOI: 10.1016/j.bas.2023.102704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/06/2023] [Accepted: 10/29/2023] [Indexed: 12/19/2023]
Abstract
Introduction Targeted Temperature Management (TTM) to normothermia is widely used in traumatic brain injury (TBI). We investigated the effects to of TTM to normothermia patients with TBI (GCS≤12) monitored with multimodality monitoring, to better understand the physiological consequences of this intervention. Research question In TBI patients cooled to normothermia and in which brain oxygenation deteriorates, are there changes in physiological parameters which are pertinent to brain oxygenation? Material and method 102 TBI patients with continuous recordings of intracranial pressure (ICP) and brain oxygen tension (PbtO2) were studied retrospectively. Non-continuous arterial carbon dioxide (PaCO2) and oxygen (PaO2) tensions, and core body temperature (Tc) were added. PaO2 and PaCO2 were also corrected for Tc. Transitions from elevated Tc to normothermia were identified in 39 patients. The 8 h pre and post the transition to normothermia were compared. Data is given as median [IQR] or mean (SD). Results Overall, normothermia reduced ICP (12 [9-18] -11 [8-17] mmHg, p < 0.009) and Tcore (38.3 [0.3]-36.9 [0.4] oC, p < 0.001), but not PbtO2 (23.3 [16.6]-24.4 [17.2-28.7] mmHg, NS). Normothermia was associated with a fall in PbtO2 in 18 patients (24.5 [9.3] -20.8 [7.6] mmHg). Only in those with a fall in PbtO2 with cooling did ICP (15 [10.8-18.5] -12 [7.8-17.3] mmHg, p = 0.002), and temperature corrected PaCO2 (5.3 [0.5]- 4.9 [0.8] kPa, p = 0.001) decrease. Discussion and conclusion A reduction in PbtO2 was only present in the subgroup of patients with a fall in temperature corrected PaCO2 with cooling. This suggests that even modest temperature changes could result in occult hyperventilation in some patients. pH stat correction of ventilation may be an important factor to consider in future TTM protocols.
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Affiliation(s)
| | | | - T. Anderson
- University of Edinburgh Department of Anaesthesia, Critical Care and Pain Medicine & NHS Lothian, UK
| | - J. Rhodes
- University of Edinburgh Department of Anaesthesia, Critical Care and Pain Medicine & NHS Lothian, UK
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Kotecha R, McDermott MW, Chen C, Ferreira C, Hanft S, Shen C, Wanebo J, Smith K, Wardak Z, Patel T, Chamoun R, Hoang KB, Choutka O, Rodriguez A, Shah M, Brachman DG, Campbell L, Patel S. Surgically Targeted Radiation Therapy (STaRT) for Brain Metastases: Initial Experience from a Prospective Multi-Institutional Registry. Int J Radiat Oncol Biol Phys 2023; 117:e120. [PMID: 37784668 DOI: 10.1016/j.ijrobp.2023.06.908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Resection and intraoperative brachytherapy for patients with large, operable brain metastasis allows for both relief of mass effect and the delivery of radiotherapy (RT) to the resection cavity with a favorable dosimetric profile. The objective of this study was to analyze early patterns-of-care and treatment-related toxicity outcomes for brain metastasis patients treated with surgically targeted radiation therapy (STaRT) using a novel brachytherapy carrier. MATERIALS/METHODS Patients with brain metastasis, de novo and recurrent disease, who enrolled onto a prospective multi-institutional observational study (NCT04427384) were the subject of this analysis. Patients underwent resection and immediate implantation of bioresorbable, conformable, 20 mm x 20 mm x 4 mm collagen tile brachytherapy device(s) containing four uniform-intensity Cesium-131 sources. Toxicities were categorized using the CTCAE v5.0 adverse event (AE) criteria. RESULTS From 10/2020 to 01/2023, 13 participating sites enrolled and treated 48 patients with 51 metastases (13 with de novo and 35 patients with recurrent brain metastases), and 3 patients had 2 lesions implanted at the same procedure. Median age was 61 years (range: 28-80), 52% were female, and the most common primary types were lung (56%) and breast (13%). The median maximum pre-operative dimension was 3.4 cm (range: 1.7-5.7) and median pre-operative tumor volume 13.7cm3 (range: 1.7-132). 64% had received prior RT with a median time from last RT to STaRT of 14.6 months range: 3.5-57.3). Median KPS at screening was 80 (range: 50-100), and remained stable at post op visit (80, range: 50-100), and at 3-months following treatment (80, range 50-100), respectively (p>0.05). The median time for implantation was 3 minutes (range: 0.4-30). At a median follow-up of 4 months (range: <1-18), no patient experienced a radiation-attributed AE, and only 1 attributable Gr >3 AE was noted (Gr 5 intracerebral hemorrhage deemed probably related to surgery and unrelated to the implanted device). CONCLUSION Early results from this prospective multi-center trial demonstrate the feasibility and safety of STaRT. The lack of radiation-related AE, even with short follow-up, is intriguing given the relatively large lesion size and proportion of patients treated for recurrent, previously irradiated disease. Additional follow-up will provide data on tumor control outcomes and radiation necrosis rates using this novel technique.
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Affiliation(s)
- R Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL
| | - M W McDermott
- Department of Neurosurgery, Miami Neuroscience Institute, Baptist Health South Florida, Miami, FL
| | - C Chen
- Department of Neurosurgery, University of Minnesota Medical School, Minneapolis, MN
| | - C Ferreira
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| | - S Hanft
- Westchester Medical Center, Valhalla, NY
| | - C Shen
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC
| | - J Wanebo
- Honor Health Research Institute, Scottsdale, AZ
| | - K Smith
- Barrow Neurological Institute, Phoenix, AZ
| | - Z Wardak
- University of Texas Southwestern Medical Center, Dallas, TX
| | - T Patel
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Chamoun
- University of Kansas Medical Center, Kansas City, KS
| | - K B Hoang
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA
| | - O Choutka
- St. Alphonsus Regional Medical Center, Boise, ID
| | - A Rodriguez
- University of Arkansas for Medical Sciences, Director of Neurosurgical Oncology, Little Rock, AR
| | - M Shah
- Department of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN; Indiana University Health North Hospital, Indianapolis, IN
| | | | | | - S Patel
- GT Medical Technologies, Tempe, AZ
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Misher C, Dumais M, Vachani C, Bach C, Villalona S, Arnold-Korzeniowski K, Rodriguez A, Metz JM, Hill-Kayser CE. Implementing Standardized Patient Education in Radiation Oncology. Int J Radiat Oncol Biol Phys 2023; 117:e417-e418. [PMID: 37785376 DOI: 10.1016/j.ijrobp.2023.06.1569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patient education empowers patients, improving their health status during and after cancer treatment (Howell et al., 2017). We hypothesize that standardizing healthcare provider delivery of educational materials (HPE) using an electronic medical record (EMR) will increase delivery to patients (pts). MATERIALS/METHODS During the study period (9/2020 - 11/2022) 13,650 pts in a multi-centered single health system (HS) received HPE and were analyzed in a retrospective convenience sample frame. There were 16,769 education touchpoints from Radiation Oncology departments (RO) and 8,269 from Medical Oncology (MO) departments. Provision of HPE was standardized in RO during this era. Relationship of ethnicity, age, and sex/gender to receipt of HPE at single vs multiple time points across the HS was examined using association analysis. RESULTS Within the combined sample taken from RO and MO departments in the HS the mean pt age was 64y (7 - >90); 71% of pts identified as white, 95.7% non-Hispanic, and 55% female. Across ethnicity, age, and sex/gender, increased HPE was provided in RO vs MO departments (p < 0.001). Distribution of HPE in RO was equal between male and female pts (73%), while distribution to female pts was higher than male in MO. (60% vs 57%, p < 0.001). Receipt of HPE at more than one time point was increased in RO across cancer types (Table 1). In RO, 73% of patients received education at more than one time point, compared to 58.7% in other departments (p < 0.001). Receipt of HPE at more than one time point was increased in RO for patients identifying as American Indian or Alaska Native (84% vs 0, p = 0.001, n = 28), Asian (73.4% vs 56%, p < 0.001, n = 824), and Black (75% vs 60%, p < 0.001, n = 4005). HPE was received at more than one time point in RO in 75.7% of patients age 7-39, 76.4% 40-64, 71.2% 65-79, and 67.6% in those 80 and above, compared to 62.0%, 63.2%, 56.3%, and 49.2%, respectively in MO departments (p = <0.01). CONCLUSION Standardization of HPE within RO increased delivery to patients across gender, race/ethnicity, age, and cancer diagnosis, particularly regarding number of educational touchpoints for patients in underserved populations based on race and age. Our results suggest that widespread standardization of HPE is likely to improve distribution of education to all patient groups and should be systematically supported.
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Affiliation(s)
| | - M Dumais
- Temple University, Philadelphia, PA
| | | | - C Bach
- Penn Medicine, Philadelphia, PA
| | - S Villalona
- Hospital of the University of Pennsylvania, Philadelphia, PA
| | | | | | - J M Metz
- University of Pennsylvania, Department of Radiation Oncology, Philadelphia, PA
| | - C E Hill-Kayser
- University of Pennsylvania, Department of Radiation Oncology, Philadelphia, PA
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Schickler R, Park A, Benfica D, Rodriguez A, Eaton E, Bunge E. Disseminating online parenting resources through community-academic partnerships. J Community Psychol 2023; 51:2686-2696. [PMID: 37329566 DOI: 10.1002/jcop.23068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 04/05/2023] [Accepted: 06/01/2023] [Indexed: 06/19/2023]
Abstract
This community-engaged study aimed to understand effective strategies for disseminating online parenting resources (OPRs) in schools. OPRs were disseminated through seven E-Parenting tips and eight Facebook posts. Facebook posts were viewed a total of 12,404 times, and each post reached an average of 505 people each month. Average engagement rate was 2.41% per post. E-Parenting tips yielded 1514 total clicks, and the average clicks per message was 216.29. E-Parenting tips related to internalizing problems (e.g., anxiety, depression) had a higher click rate than E-Parenting tips related to externalizing problems (e.g., oppositional behavior). OPRs disseminated through Facebook posts, and E-Parenting tips resulted in wide reach and engagement. Different media channels should be utilized to disseminate different OPRs to as many parents as possible.
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Affiliation(s)
- Ross Schickler
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
| | - Alayna Park
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
| | - Daniellee Benfica
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
| | - Abigail Rodriguez
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
| | - Emma Eaton
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
| | - Eduardo Bunge
- Children and Adolescent Psychotherapy and Technology Research Lab, Palo Alto University, Palo Alto, California, USA
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Aalbers J, Akerib DS, Akerlof CW, Al Musalhi AK, Alder F, Alqahtani A, Alsum SK, Amarasinghe CS, Ames A, Anderson TJ, Angelides N, Araújo HM, Armstrong JE, Arthurs M, Azadi S, Bailey AJ, Baker A, Balajthy J, Balashov S, Bang J, Bargemann JW, Barry MJ, Barthel J, Bauer D, Baxter A, Beattie K, Belle J, Beltrame P, Bensinger J, Benson T, Bernard EP, Bhatti A, Biekert A, Biesiadzinski TP, Birch HJ, Birrittella B, Blockinger GM, Boast KE, Boxer B, Bramante R, Brew CAJ, Brás P, Buckley JH, Bugaev VV, Burdin S, Busenitz JK, Buuck M, Cabrita R, Carels C, Carlsmith DL, Carlson B, Carmona-Benitez MC, Cascella M, Chan C, Chawla A, Chen H, Cherwinka JJ, Chott NI, Cole A, Coleman J, Converse MV, Cottle A, Cox G, Craddock WW, Creaner O, Curran D, Currie A, Cutter JE, Dahl CE, David A, Davis J, Davison TJR, Delgaudio J, Dey S, de Viveiros L, Dobi A, Dobson JEY, Druszkiewicz E, Dushkin A, Edberg TK, Edwards WR, Elnimr MM, Emmet WT, Eriksen SR, Faham CH, Fan A, Fayer S, Fearon NM, Fiorucci S, Flaecher H, Ford P, Francis VB, Fraser ED, Fruth T, Gaitskell RJ, Gantos NJ, Garcia D, Geffre A, Gehman VM, Genovesi J, Ghag C, Gibbons R, Gibson E, Gilchriese MGD, Gokhale S, Gomber B, Green J, Greenall A, Greenwood S, van der Grinten MGD, Gwilliam CB, Hall CR, Hans S, Hanzel K, Harrison A, Hartigan-O'Connor E, Haselschwardt SJ, Hernandez MA, Hertel SA, Heuermann G, Hjemfelt C, Hoff MD, Holtom E, Hor JYK, Horn M, Huang DQ, Hunt D, Ignarra CM, Jacobsen RG, Jahangir O, James RS, Jeffery SN, Ji W, Johnson J, Kaboth AC, Kamaha AC, Kamdin K, Kasey V, Kazkaz K, Keefner J, Khaitan D, Khaleeq M, Khazov A, Khurana I, Kim YD, Kocher CD, Kodroff D, Korley L, Korolkova EV, Kras J, Kraus H, Kravitz S, Krebs HJ, Kreczko L, Krikler B, Kudryavtsev VA, Kyre S, Landerud B, Leason EA, Lee C, Lee J, Leonard DS, Leonard R, Lesko KT, Levy C, Li J, Liao FT, Liao J, Lin J, Lindote A, Linehan R, Lippincott WH, Liu R, Liu X, Liu Y, Loniewski C, Lopes MI, Lopez Asamar E, López Paredes B, Lorenzon W, Lucero D, Luitz S, Lyle JM, Majewski PA, Makkinje J, Malling DC, Manalaysay A, Manenti L, Mannino RL, Marangou N, Marzioni MF, Maupin C, McCarthy ME, McConnell CT, McKinsey DN, McLaughlin J, Meng Y, Migneault J, Miller EH, Mizrachi E, Mock JA, Monte A, Monzani ME, Morad JA, Morales Mendoza JD, Morrison E, Mount BJ, Murdy M, Murphy ASJ, Naim D, Naylor A, Nedlik C, Nehrkorn C, Neves F, Nguyen A, Nikoleyczik JA, Nilima A, O'Dell J, O'Neill FG, O'Sullivan K, Olcina I, Olevitch MA, Oliver-Mallory KC, Orpwood J, Pagenkopf D, Pal S, Palladino KJ, Palmer J, Pangilinan M, Parveen N, Patton SJ, Pease EK, Penning B, Pereira C, Pereira G, Perry E, Pershing T, Peterson IB, Piepke A, Podczerwinski J, Porzio D, Powell S, Preece RM, Pushkin K, Qie Y, Ratcliff BN, Reichenbacher J, Reichhart L, Rhyne CA, Richards A, Riffard Q, Rischbieter GRC, Rodrigues JP, Rodriguez A, Rose HJ, Rosero R, Rossiter P, Rushton T, Rutherford G, Rynders D, Saba JS, Santone D, Sazzad ABMR, Schnee RW, Scovell PR, Seymour D, Shaw S, Shutt T, Silk JJ, Silva C, Sinev G, Skarpaas K, Skulski W, Smith R, Solmaz M, Solovov VN, Sorensen P, Soria J, Stancu I, Stark MR, Stevens A, Stiegler TM, Stifter K, Studley R, Suerfu B, Sumner TJ, Sutcliffe P, Swanson N, Szydagis M, Tan M, Taylor DJ, Taylor R, Taylor WC, Temples DJ, Tennyson BP, Terman PA, Thomas KJ, Tiedt DR, Timalsina M, To WH, Tomás A, Tong Z, Tovey DR, Tranter J, Trask M, Tripathi M, Tronstad DR, Tull CE, Turner W, Tvrznikova L, Utku U, Va'vra J, Vacheret A, Vaitkus AC, Verbus JR, Voirin E, Waldron WL, Wang A, Wang B, Wang JJ, Wang W, Wang Y, Watson JR, Webb RC, White A, White DT, White JT, White RG, Whitis TJ, Williams M, Wisniewski WJ, Witherell MS, Wolfs FLH, Wolfs JD, Woodford S, Woodward D, Worm SD, Wright CJ, Xia Q, Xiang X, Xiao Q, Xu J, Yeh M, Yin J, Young I, Zarzhitsky P, Zuckerman A, Zweig EA. First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment. Phys Rev Lett 2023; 131:041002. [PMID: 37566836 DOI: 10.1103/physrevlett.131.041002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/06/2023] [Accepted: 06/07/2023] [Indexed: 08/13/2023]
Abstract
The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dakota, USA. This Letter reports results from LUX-ZEPLIN's first search for weakly interacting massive particles (WIMPs) with an exposure of 60 live days using a fiducial mass of 5.5 t. A profile-likelihood ratio analysis shows the data to be consistent with a background-only hypothesis, setting new limits on spin-independent WIMP-nucleon, spin-dependent WIMP-neutron, and spin-dependent WIMP-proton cross sections for WIMP masses above 9 GeV/c^{2}. The most stringent limit is set for spin-independent scattering at 36 GeV/c^{2}, rejecting cross sections above 9.2×10^{-48} cm at the 90% confidence level.
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Affiliation(s)
- J Aalbers
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - D S Akerib
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C W Akerlof
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A K Al Musalhi
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - F Alder
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - A Alqahtani
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S K Alsum
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C S Amarasinghe
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A Ames
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Anderson
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - N Angelides
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - H M Araújo
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Armstrong
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - M Arthurs
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S Azadi
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - A J Bailey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baker
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J Balajthy
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - S Balashov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Bang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J W Bargemann
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M J Barry
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Barthel
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Bauer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baxter
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - K Beattie
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Belle
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Beltrame
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Bensinger
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T Benson
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E P Bernard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Bhatti
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - A Biekert
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T P Biesiadzinski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - H J Birch
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - B Birrittella
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - G M Blockinger
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - K E Boast
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - B Boxer
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Bramante
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C A J Brew
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - P Brás
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - J H Buckley
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - V V Bugaev
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - S Burdin
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - J K Busenitz
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Buuck
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R Cabrita
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - C Carels
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D L Carlsmith
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - B Carlson
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M C Carmona-Benitez
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - M Cascella
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C Chan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Chawla
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - H Chen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J J Cherwinka
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N I Chott
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Cole
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Coleman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M V Converse
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Cottle
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - G Cox
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - W W Craddock
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - O Creaner
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Curran
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - A Currie
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Cutter
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - C E Dahl
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - A David
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Davis
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - T J R Davison
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Delgaudio
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Dey
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - L de Viveiros
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - A Dobi
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J E Y Dobson
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - E Druszkiewicz
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Dushkin
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T K Edberg
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M M Elnimr
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W T Emmet
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - S R Eriksen
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - C H Faham
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Fan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - S Fayer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - N M Fearon
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Fiorucci
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H Flaecher
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - P Ford
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - V B Francis
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - E D Fraser
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - T Fruth
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R J Gaitskell
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N J Gantos
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Garcia
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Geffre
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - V M Gehman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Genovesi
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C Ghag
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R Gibbons
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - E Gibson
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - M G D Gilchriese
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - S Gokhale
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Gomber
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Green
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - A Greenall
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - S Greenwood
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | | | - C B Gwilliam
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - C R Hall
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - S Hans
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - K Hanzel
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Harrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Hartigan-O'Connor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S J Haselschwardt
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M A Hernandez
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S A Hertel
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - G Heuermann
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - C Hjemfelt
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M D Hoff
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E Holtom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Y-K Hor
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Horn
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Q Huang
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Hunt
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - C M Ignarra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R G Jacobsen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - O Jahangir
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R S James
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - S N Jeffery
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - W Ji
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Johnson
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A C Kaboth
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A C Kamaha
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
| | - K Kamdin
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - V Kasey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - K Kazkaz
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J Keefner
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Khaitan
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M Khaleeq
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Khazov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - I Khurana
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - Y D Kim
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - C D Kocher
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Kodroff
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - L Korley
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - E V Korolkova
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Kras
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - H Kraus
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Kravitz
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H J Krebs
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - L Kreczko
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Krikler
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - V A Kudryavtsev
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - S Kyre
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - B Landerud
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E A Leason
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Lee
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Lee
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - D S Leonard
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - R Leonard
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K T Lesko
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - C Levy
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J Li
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - F-T Liao
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - J Liao
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J Lin
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Lindote
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - R Linehan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - W H Lippincott
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Liu
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - X Liu
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - Y Liu
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C Loniewski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M I Lopes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Lopez Asamar
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - B López Paredes
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W Lorenzon
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - D Lucero
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Luitz
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J M Lyle
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - P A Majewski
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Makkinje
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D C Malling
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Manalaysay
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - L Manenti
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R L Mannino
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N Marangou
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - M F Marzioni
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Maupin
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M E McCarthy
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - C T McConnell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D N McKinsey
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J McLaughlin
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - Y Meng
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Migneault
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E H Miller
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Mizrachi
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J A Mock
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - A Monte
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - M E Monzani
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State
| | - J A Morad
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - J D Morales Mendoza
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - E Morrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - B J Mount
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - M Murdy
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - A St J Murphy
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - D Naim
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A Naylor
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - C Nedlik
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - C Nehrkorn
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - F Neves
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Nguyen
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J A Nikoleyczik
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - A Nilima
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J O'Dell
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - F G O'Neill
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - K O'Sullivan
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Olcina
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M A Olevitch
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - K C Oliver-Mallory
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J Orpwood
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - D Pagenkopf
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - S Pal
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - K J Palladino
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Palmer
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - M Pangilinan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N Parveen
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - S J Patton
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E K Pease
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - B Penning
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - C Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Perry
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - T Pershing
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - I B Peterson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Piepke
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Podczerwinski
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - D Porzio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - S Powell
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R M Preece
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - K Pushkin
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - Y Qie
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - B N Ratcliff
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - L Reichhart
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C A Rhyne
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Richards
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Q Riffard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - G R C Rischbieter
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J P Rodrigues
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Rodriguez
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - H J Rose
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Rosero
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - P Rossiter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - T Rushton
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - G Rutherford
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Rynders
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - J S Saba
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Santone
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A B M R Sazzad
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - R W Schnee
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - P R Scovell
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - D Seymour
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S Shaw
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - T Shutt
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J J Silk
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - C Silva
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Sinev
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K Skarpaas
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - W Skulski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - R Smith
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M Solmaz
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - V N Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - P Sorensen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Soria
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Stancu
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M R Stark
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Stevens
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - T M Stiegler
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K Stifter
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Studley
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - B Suerfu
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T J Sumner
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - P Sutcliffe
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - N Swanson
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - M Szydagis
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - M Tan
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D J Taylor
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - R Taylor
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W C Taylor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D J Temples
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - B P Tennyson
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - P A Terman
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K J Thomas
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D R Tiedt
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M Timalsina
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - W H To
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - A Tomás
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Z Tong
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - D R Tovey
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Tranter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - M Trask
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Tripathi
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - D R Tronstad
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - W Turner
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - L Tvrznikova
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - U Utku
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Va'vra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - A Vacheret
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A C Vaitkus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J R Verbus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E Voirin
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - W L Waldron
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Wang
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - B Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J J Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W Wang
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - Y Wang
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J R Watson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - R C Webb
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - A White
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D T White
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - J T White
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - R G White
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Whitis
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
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- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - W J Wisniewski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
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- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
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- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - J D Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - S Woodford
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - D Woodward
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - S D Worm
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - C J Wright
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xia
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
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- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xiao
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Xu
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - M Yeh
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - J Yin
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - I Young
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Zarzhitsky
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - A Zuckerman
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E A Zweig
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
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9
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Mentz H, Rodriguez A, Garlick J, Mentz J, Ogley S, Kumbla PA. Bolster Equalization Suture Technique (BEST) Neck: Optimization of Skin Redraping Following Necklift Surgery. Aesthet Surg J 2023; 43:257-265. [PMID: 36441622 DOI: 10.1093/asj/sjac306] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Skin laxity of the neck is a primary concern of patients seeking facial rejuvenation. Traditional methods for redraping neck skin have well-described shortcomings. OBJECTIVES The aim of this study was to optimize skin redraping after necklift surgery while reducing risk, and the Bolster Equalization Suture Technique (BEST). METHODS At the conclusion of the facelift and necklift, 3 external quilting sutures are placed with protective bolsters. The first suture is placed at the midline, advancing the skin posteriorly toward the hyoid and anchoring the skin to the platysma. The second and third are placed in the cervicomandibular groove over the sternocleidomastoid muscle, advancing the skin posteriorly. Complications such as skin necrosis, skin ischemia, dimpling, hypopigmentation, hyperpigmentation, and scarring were documented. A control group of 20 patients who underwent the same surgery without the BEST was compared to the next 20 patients in which the BEST was applied. Preoperative and postoperative photographs were blindly reviewed by 2 plastic surgeons. The photographs were analyzed for residual central neck skin laxity and cervicomental angle improvement and surveyed according to the pertinent sections of the FACE-Q. RESULTS In necklift patients who received the BEST, cervicomental angle improvement and decreased central skin laxity were statistically significant. Patient perceived age on a visual analog scale was 2.5 years younger in the BEST group. CONCLUSIONS The BEST is a safe and efficient method which can be used to improve cervical skin redraping and contour. The BEST creates a more defined cervicomental angle while reducing central skin neck laxity with minimal complications. LEVEL OF EVIDENCE: 4
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Affiliation(s)
| | | | | | - James Mentz
- Division of Plastic Surgery, University of Texas Health Sciences Center at Houston, Houston, TX, USA
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10
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Blay JY, Hindi N, Bollard J, Aguiar S, Angel M, Araya B, Badilla R, Bernabeu D, Campos F, Caro-Sánchez CHS, Carvajal B, Carvajal Montoya A, Casavilca-Zambrano S, Castro-Oliden V, Chacón M, Clara M, Collini P, Correa Genoroso R, Costa FD, Cuellar M, Dei Tos AP, Dominguez Malagon HR, Donati D, Dufresne A, Eriksson M, Farias-Loza M, Fernandez P, Frezza AM, Frisoni T, Garcia-Ortega DY, Gelderblom H, Gouin F, Gómez-Mateo MC, Gronchi A, Haro J, Huanca L, Jimenez N, Karanian M, Kasper B, Lopes David BB, Lopez-Pousa A, Lutter G, Martinez-Said H, Martinez-Tlahuel J, Mello CA, Morales Pérez JM, Moura David S, Nascimento AG, Ortiz-Cruz EJ, Palmerini E, Patel S, Pfluger Y, Provenzano S, Righi A, Rodriguez A, Salas R, Santos TTG, Scotlandi K, Soule T, Stacchiotti S, Valverde C, Waisberg F, Zamora Estrada E, Martin-Broto J. Corrigendum to "SELNET clinical practice guidelines for soft tissue sarcoma and GIST" [Cancer Treat. Rev. 102 (2021) 102312]. Cancer Treat Rev 2023; 115:102523. [PMID: 36796283 DOI: 10.1016/j.ctrv.2023.102523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Affiliation(s)
- J Y Blay
- Léon Bérard Center, 28 rue Laennec, 69373 Lyon Cedex 08, France.
| | - N Hindi
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
| | - J Bollard
- Léon Bérard Center, 28 rue Laennec, 69373 Lyon Cedex 08, France
| | - S Aguiar
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - M Angel
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - B Araya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - R Badilla
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - D Bernabeu
- Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046 Madrid, Spain
| | - F Campos
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - C H S Caro-Sánchez
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso, Av. San Fernando 86, Colonia Niño Jesus, CP 14080 Tlalpan, Mexico
| | - B Carvajal
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - A Carvajal Montoya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - S Casavilca-Zambrano
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - V Castro-Oliden
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - M Chacón
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - M Clara
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso, Av. San Fernando 86, Colonia Niño Jesus, CP 14080 Tlalpan, Mexico
| | - P Collini
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - R Correa Genoroso
- Hospital Clínico Universitario Virgen de la Victoria, Campus Universitario de Teatinos s/n, 29010 Malaga, Spain
| | - F D Costa
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - M Cuellar
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - A P Dei Tos
- Treviso General Hospital Treviso, University of Padua, Padova, Italy
| | - H R Dominguez Malagon
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso, Av. San Fernando 86, Colonia Niño Jesus, CP 14080 Tlalpan, Mexico
| | - D Donati
- IRCCS Istituto Ortopedico Rizzoli, Via Pupilli, 1, 40136 Bologna, Italy
| | - A Dufresne
- Léon Bérard Center, 28 rue Laennec, 69373 Lyon Cedex 08, France
| | - M Eriksson
- Skane University Hospital and Lund University, Lund, Sweden
| | - M Farias-Loza
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | | | - A M Frezza
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - T Frisoni
- IRCCS Istituto Ortopedico Rizzoli, Via Pupilli, 1, 40136 Bologna, Italy
| | - D Y Garcia-Ortega
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso, Av. San Fernando 86, Colonia Niño Jesus, CP 14080 Tlalpan, Mexico
| | - H Gelderblom
- Leiden University Medical Center, Leiden, the Netherlands
| | - F Gouin
- Léon Bérard Center, 28 rue Laennec, 69373 Lyon Cedex 08, France
| | - M C Gómez-Mateo
- Hospital Universitario Miguel Servet, Paseo Isabel la Católica, 1-3, 50009 Zaragoza, Spain
| | - A Gronchi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - J Haro
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - L Huanca
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - N Jimenez
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - M Karanian
- Léon Bérard Center, 28 rue Laennec, 69373 Lyon Cedex 08, France
| | - B Kasper
- University of Heidelberg, Mannheim Cancer Center, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - B B Lopes David
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Lopez-Pousa
- Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, 08041 Barcelona, Spain
| | - G Lutter
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - H Martinez-Said
- Centro Oncologico Integral, Hospital Medica Sur, Planta Baja Torre III - Cons, 305, Col. Toriello Guerra, Deleg. Tlalpan, C.P. 14050 Mexico, D.F, Mexico
| | - J Martinez-Tlahuel
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso, Av. San Fernando 86, Colonia Niño Jesus, CP 14080 Tlalpan, Mexico
| | - C A Mello
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - J M Morales Pérez
- Hospital Universitario Virgen del Rocio, Av Manuel Siurot s/n, 41013 Sevilla, Spain
| | - S Moura David
- Hospital Universitario Virgen del Rocio, Av Manuel Siurot s/n, 41013 Sevilla, Spain
| | - A G Nascimento
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - E J Ortiz-Cruz
- Hospital Universitario La Paz, MD Anderson Cancer Center, Calle de Arturo Soria, 270, 28033 Madrid, Spain
| | - E Palmerini
- IRCCS Istituto Ortopedico Rizzoli, Via Pupilli, 1, 40136 Bologna, Italy
| | - S Patel
- UT MD Anderson Cancer Center, Houston, TX, USA
| | - Y Pfluger
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - S Provenzano
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Righi
- IRCCS Istituto Ortopedico Rizzoli, Via Pupilli, 1, 40136 Bologna, Italy
| | - A Rodriguez
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - R Salas
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - T T G Santos
- A.C. Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo, SP 01509-010, Brazil
| | - K Scotlandi
- IRCCS Istituto Ortopedico Rizzoli, Via Pupilli, 1, 40136 Bologna, Italy
| | - T Soule
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - S Stacchiotti
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - C Valverde
- Vall d́Hebrón University Hospital, Passeig de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - F Waisberg
- Instituto Alexander Fleming, Av. Cramer 1180, CP C1426ANZ, Buenos Aires, Argentina
| | - E Zamora Estrada
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - J Martin-Broto
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
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Blavier F, Grobet D, Duflos C, Rayssiguier R, Ranisavljevic N, Duport Percier M, Rodriguez A, Blockeel C, Santos-Ribeiro S, Faron G, Gucciardo L, Fuchs F. Usability, accuracy, and cost-effectiveness of a medical software for early pregnancies: a retrospective study. Hum Reprod 2023; 38:549-559. [PMID: 36762880 DOI: 10.1093/humrep/dead025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 01/13/2023] [Indexed: 02/11/2023] Open
Abstract
STUDY QUESTION Can early pregnancies be accurately and cost-effectively diagnosed and managed using a new medical computerized tool? SUMMARY ANSWER Compared to the standard clinical approach, retrospective implementation of the new medical software in a gynaecological emergency unit was correlated with more accurate diagnosis and more cost-effective management. WHAT IS KNOWN ALREADY Early pregnancy complications are responsible for a large percentage of consultations, mostly in emergency units, with guidelines becoming complex and poorly known/misunderstood by practitioners. STUDY DESIGN, SIZE, DURATION A total of 780 gynaecological emergency consultations (446 patients), recorded between November 2018 and June 2019 in a tertiary university hospital, were retrospectively encoded in a new medical computerized tool. The inclusion criteria were a positive hCG test result, ultrasonographical visualization of gestational sac, and/or embryo corresponding to a gestational age of 14 weeks or less. Diagnosis and management suggested by the new computerized tool are named eDiagnoses, while those provided by a gynaecologist member of the emergency department staff are called medDiagnoses. PARTICIPANTS/MATERIALS, SETTING, METHODS Usability was the primary endpoint, with accuracy and cost reduction, respectively, as secondary and tertiary endpoints. Identical eDiagnoses/medDiagnoses were considered as accurate. During follow-up visits, if the updated eDiagnoses and medDiagnoses became both identical to a previously discrepant eDiagnosis or medDiagnosis, this previous eDiagnosis or medDiagnosis was also considered as correct. Four double-blinded experts reviewed persistent discrepancies, determining the accurate diagnoses. eDiagnoses/medDiagnoses accuracies were compared using McNemar's Chi square test, sensitivity, specificity, and predictive values. MAIN RESULTS AND THE ROLE OF CHANCE Only 1 (0.1%) from 780 registered medical records lacked data for full encoding. Out of the 779 remaining consultations, 675 eDiagnoses were identical to the medDiagnoses (86.6%) and 104 were discrepant (13.4%). From these 104, 60 reached an agreement during follow-up consultations, with 59 medDiagnoses ultimately changing into the initial eDiagnoses (98%) and only one discrepant eDiagnosis turning later into the initial medDiagnosis (2%). Finally, 24 remained discrepant at all subsequent checks and 20 were not re-evaluated. Out of these 44, the majority of experts agreed on 38 eDiagnoses (86%) and 5 medDiagnoses (11%, including four twin pregnancies whose twinness was the only discrepancy). No majority was reached for one discrepant eDiagnosis/medDiagnosis (2%). In total, the accuracy of eDiagnoses was 99.1% (675 + 59 + 38 = 772 eDiagnoses out of 779), versus 87.4% (675 + 1 + 5 = 681) for medDiagnoses (P < 0.0001). Calculating all basic costs of extra consultations, extra-medications, extra-surgeries, and extra-hospitalizations induced by incorrect medDiagnoses versus eDiagnoses, the new medical computerized tool would have saved 3623.75 Euros per month. Retrospectively, the medical computerized tool was usable in almost all the recorded cases (99.9%), globally more accurate (99.1% versus 87.4%), and for all diagnoses except twinning reports, and it was more cost-effective than the standard clinical approach. LIMITATIONS, REASONS FOR CAUTION The retrospective study design is a limitation. Some observed improvements with the medical software could derive from the encoding by a rested and/or more experienced physician who had a better ultrasound interpretation. This software cannot replace clinical and ultrasonographical skills but may improve the compliance to published guidelines. WIDER IMPLICATIONS OF THE FINDINGS This medical computerized tool is improving. A new version considers diagnosis and management of multiple pregnancies with their specificities (potentially multiple locations, chorioamnionicity). Prospective evaluations will be required. Further developmental steps are planned, including software incorporation into ultrasound devices and integration of previously published predictive/prognostic factors (e.g. serum progesterone, corpus luteum scoring). STUDY FUNDING/COMPETING INTEREST(S) No external funding was obtained for this study. F.B. and D.G. created the new medical software. TRIAL REGISTRATION NUMBER NCT03993015.
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Affiliation(s)
- F Blavier
- Department of Obstetrics and Prenatal Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France.,Department of Obstetrics and Prenatal Medicine, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Department of Obstetrics and Gynecology, Hospital Center of Orange, Orange, France
| | - D Grobet
- Lecturer Computer Science, Brussels Engineering School (ISIB), Brussels, Belgium
| | - C Duflos
- Clinical Research and Epidemiology Unit, CHU Montpellier, Université Montpellier, Montpellier, France
| | - R Rayssiguier
- Department of Obstetrics and Prenatal Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - N Ranisavljevic
- ART-PGD Department, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - M Duport Percier
- Department of Obstetrics and Prenatal Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - A Rodriguez
- Department of Obstetrics and Prenatal Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France
| | - C Blockeel
- Brussels IVF, Centre for Reproductive Medicine, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | | | - G Faron
- Department of Obstetrics and Prenatal Medicine, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - L Gucciardo
- Department of Obstetrics and Prenatal Medicine, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - F Fuchs
- Department of Obstetrics and Prenatal Medicine, Arnaud de Villeneuve Hospital, CHU Montpellier, Montpellier, France.,Inserm, CESP Center for Research in Epidemiology and Population Health, U1018, Reproduction and Child Development, Villejuif, France.,Desbret Institute of Epidemiology and Public Health, University of Montpellier, Montpellier, France
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Toribio-Vazquez C, Cansino R, Fernández-Pascual E, Eguibar A, Ayllon H, Solano-Heranz P, Perez-Carral J, Mainez J, Giron M, Rodriguez A, Yebes A, Alonso M, Martínez S, Martínez-Piñeiro L. Comparing the use of AquaBeam® and HoLEP for the treatment of patients with benign prostatic hyperplasia. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)01165-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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Martinez M, Petit J, Leyva A, Sogues A, Megrian D, Rodriguez A, Gaday Q, Ben Assaya M, Portela M, Haouz A, Ducret A, Grangeasse C, Alzari PM, Durán R, Wehenkel A. Eukaryotic-like gephyrin and cognate membrane receptor coordinate corynebacterial cell division and polar elongation. bioRxiv 2023:2023.02.01.526586. [PMID: 36778425 PMCID: PMC9915583 DOI: 10.1101/2023.02.01.526586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The order Corynebacteriales includes major industrial and pathogenic actinobacteria such as Corynebacterium glutamicum or Mycobacterium tuberculosis . Their elaborate multi-layered cell wall, composed primarily of the mycolyl-arabinogalactan-peptidoglycan complex, and their polar growth mode impose a stringent coordination between the septal divisome, organized around the tubulin-like protein FtsZ, and the polar elongasome, assembled around the tropomyosin-like protein Wag31. Here, we report the identification of two new divisome members, a gephyrin-like repurposed molybdotransferase (GLP) and its membrane receptor (GLPR). We show that the interplay between the GLPR/GLP module, FtsZ and Wag31 is crucial for orchestrating cell cycle progression. Our results provide a detailed molecular understanding of the crosstalk between two essential machineries, the divisome and elongasome, and reveal that Corynebacteriales have evolved a protein scaffold to control cell division and morphogenesis similar to the gephyrin/GlyR system that in higher eukaryotes mediates synaptic signaling through network organization of membrane receptors and the microtubule cytoskeleton.
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Affiliation(s)
- M. Martinez
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - J. Petit
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - A. Leyva
- Analytical Biochemistry and Proteomics Unit, Institut Pasteur de Montevideo, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay
| | - A. Sogues
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - D. Megrian
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - A. Rodriguez
- Analytical Biochemistry and Proteomics Unit, Institut Pasteur de Montevideo, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay
| | - Q. Gaday
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - M. Ben Assaya
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - M. Portela
- Analytical Biochemistry and Proteomics Unit, Institut Pasteur de Montevideo, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay
| | - A. Haouz
- Plate-forme de cristallographie, C2RT-Institut Pasteur, CNRS, UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - A. Ducret
- Molecular Microbiology and Structural Biochemistry, CNRS UMR 5086, Université de Lyon, 7 passage du Vercors, 69367 Lyon, France
| | - C. Grangeasse
- Molecular Microbiology and Structural Biochemistry, CNRS UMR 5086, Université de Lyon, 7 passage du Vercors, 69367 Lyon, France
| | - P. M. Alzari
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
| | - R. Durán
- Analytical Biochemistry and Proteomics Unit, Institut Pasteur de Montevideo, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay
| | - A. Wehenkel
- Structural Microbiology Unit, Institut Pasteur, CNRS UMR 3528, Université Paris Cité, F-75015 Paris, France
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Hoyos-Jaramillo A, Palomares R, Bittar J, Divers S, Chamorro M, Berghaus R, Kirks S, Rush J, Edmondson M, Rodriguez A, Gonzalez-Altamiranda E. Clinical status and endoscopy of the upper respiratory tract of dairy calves infected with Bovine viral diarrhea virus 2 and Bovine herpes virus 1 after vaccination and trace minerals injection. Res Vet Sci 2022; 152:582-595. [DOI: 10.1016/j.rvsc.2022.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/19/2022] [Accepted: 09/23/2022] [Indexed: 11/24/2022]
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Sood V, Wiggins W, Rodriguez A, Sigl D. Attitudes of Newly Hired Medicine Faculty Regarding Mentorship and Developmental Networks. Chron Mentor Coach 2022; 6:624-629. [PMID: 36713783 PMCID: PMC9880633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Prior research shows that most Schools of Medicine faculty consider mentorship the most crucial factor in faculty development and retention. Many faculty are establishing developmental networks in lieu of hierarchical dyadic mentoring relationships. Clinicians are less likely than other newly hired faculty groups to seek mentorship despite having assigned mentors. The study's purpose was to determine the attitudes of newly hired faculty at the University of New Mexico School of Medicine (UNM SOM) regarding mentorship and developmental networks. Within their first year of hire, all newly hired faculty at UNM SOM are required to participate in a two-day orientation to the institution event called 'Quikstart.' During seven such events, new faculty [N=131] were surveyed anonymously on six single-response questions about their attitudes regarding mentorship and developmental networks, administered via online polls between September 2018 and July 2022. In this descriptive study, summary characteristics were analyzed. Newly hired faculty mentees reported that creating a developmental network was hampered by difficulties finding multiple mentors (55.3%), receiving conflicting advice from multiple mentors (22.4%), and gathering many mentors at the same location at the same time (11.8% ). Lack of clarity regarding faculty mentee needs (55.5%), mentors' unavailability (17.6%), and failure to find mentors (14.3%) were the most often mentioned difficulties during the initiation stage of mentorship (Hitchcock et al., 1995). Although the literature advocates moving from hierarchical dyadic mentoring relationships to developmental networks, this transition for Medicine faculty mentees will likely be hindered by a shortage of adequately trained mentors. Institutions need to identify and train mentors, incentivize and support mentorship, and encourage the creation and maintenance of self-selected development networks, possibly under the leadership of a transitional mentor.
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Blay J, Palmerini E, Bollard J, Aguiar S, Angel M, Araya B, Badilla R, Bernabeu D, Campos F, Chs CS, Carvajal Montoya A, Casavilca-Zambrano S, Castro-Oliden, Chacón M, Clara-Altamirano M, Collini P, Correa Genoroso R, Costa F, Cuellar M, Dei Tos A, Dominguez Malagon H, Donati D, Dufresne A, Eriksson M, Farias-Loza M, Frezza A, Frisoni T, Garcia-Ortega D, Gerderblom H, Gouin F, Gómez-Mateo M, Gronchi A, Haro J, Hindi N, Huanca L, Jimenez N, Karanian M, Kasper B, Lopes A, Lopes David B, Lopez-Pousa A, Lutter G, Maki R, Martinez-Said H, Martinez-Tlahuel J, Mello C, Morales Pérez J, Moura D, Nakagawa S, Nascimento A, Ortiz-Cruz E, Patel S, Pfluger Y, Provenzano S, Righi A, Rodriguez A, Santos T, Scotlandi K, Mlg S, Soulé T, Stacchiotti S, Valverde C, Waisberg F, Zamora Estrada E, Martin-Broto J. Corrigendum to “SELNET clinical practice guidelines for bone sarcoma” Critical reviews in oncology/hematology, vol. 174 (2022), 1–10. Crit Rev Oncol Hematol 2022; 180:103827. [DOI: 10.1016/j.critrevonc.2022.103827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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Phillips C, de la Puente M, Ruiz-Ramirez J, Staniewska A, Ambroa-Conde A, Freire-Aradas A, Mosquera-Miguel A, Rodriguez A, Lareu MV. Eurasiaplex-2: Shifting the focus to SNPs with high population specificity increases the power of forensic ancestry marker sets. Forensic Sci Int Genet 2022; 61:102780. [PMID: 36174251 DOI: 10.1016/j.fsigen.2022.102780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/16/2022] [Accepted: 09/18/2022] [Indexed: 11/27/2022]
Abstract
To compile a new South Asian-informative panel of forensic ancestry SNPs, we changed the strategy for selecting the most powerful markers for this purpose by targeting polymorphisms with near absolute specificity - when the South Asian-informative allele identified is absent from all other populations or present at frequencies below 0.001 (one in a thousand). More than 120 candidate SNPs were identified from 1000 Genomes datasets satisfying an allele frequency screen of ≥ 0.1 (10 % or more) allele frequency in South Asians, and ≤ 0.001 (0.1 % or less) in African, East Asian, and European populations. From the candidate pool of markers, a final panel of 36 SNPs, widely distributed across most autosomes, were selected that had allele frequencies in the five 1000 Genomes South Asian populations ranging from 0.4 to 0.15. Slightly lower average allele frequencies, but consistent patterns of informativeness were observed in gnomAD South Asian datasets used to validate the 1000 Genomes variant annotations. We named the panel of 36 South Asian-specific SNPs Eurasiaplex-2, and the informativeness of the panel was evaluated by compiling worldwide population data from 4097 samples in four genome variation databases that largely complement the global sampling of 1000 Genomes. Consistent patterns of allele frequency distribution, which were specific to South Asia, were observed in all populations in, or closely sited to, the Indian sub-continent. Pakistani populations from the HGDP-CEPH panel had markedly lower allele frequencies, highlighting the need to develop a statistical system to evaluate the ancestry inference value of counting the number of population-specific alleles present in an individual.
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Affiliation(s)
- C Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain; Institute of Anthropology and Ethnology, Adam Mickiewicz University in Poznań, Poland..
| | - M de la Puente
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - J Ruiz-Ramirez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Staniewska
- Institute of Anthropology and Ethnology, Adam Mickiewicz University in Poznań, Poland
| | - A Ambroa-Conde
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Freire-Aradas
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Mosquera-Miguel
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - A Rodriguez
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - M V Lareu
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
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Leigh RM, Pham A, Rao SS, Vora FM, Hou G, Kent C, Rodriguez A, Narang A, Tan JBC, Chou FS. Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants. BMC Pediatr 2022; 22:542. [PMID: 36100848 PMCID: PMC9469562 DOI: 10.1186/s12887-022-03602-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/07/2022] [Indexed: 11/10/2022] Open
Abstract
Background Bronchopulmonary dysplasia (BPD) is one of the most common and serious sequelae of prematurity. Prompt diagnosis using prediction tools is crucial for early intervention and prevention of further adverse effects. This study aims to develop a BPD-free survival prediction tool based on the concept of the developmental origin of BPD with machine learning. Methods Datasets comprising perinatal factors and early postnatal respiratory support were used for initial model development, followed by combining the two models into a final ensemble model using logistic regression. Simulation of clinical scenarios was performed. Results Data from 689 infants were included in the study. We randomly selected data from 80% of infants for model development and used the remaining 20% for validation. The performance of the final model was assessed by receiver operating characteristics which showed 0.921 (95% CI: 0.899–0.943) and 0.899 (95% CI: 0.848–0.949) for the training and the validation datasets, respectively. Simulation data suggests that extubating to CPAP is superior to NIPPV in BPD-free survival. Additionally, successful extubation may be defined as no reintubation for 9 days following initial extubation. Conclusions Machine learning-based BPD prediction based on perinatal features and respiratory data may have clinical applicability to promote early targeted intervention in high-risk infants.
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Affiliation(s)
- Rebekah M Leigh
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Andrew Pham
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Srinandini S Rao
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Farha M Vora
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Gina Hou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA
| | - Chelsea Kent
- Loma Linda University School of Medicine, Loma Linda, CA, USA
| | | | - Arvind Narang
- Business Intelligence and Data Governance, Loma Linda University Health, Loma Linda, CA, USA
| | | | - Fu-Sheng Chou
- Division of Neonatology, Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, CA, USA. .,Kaiser Permanente Riverside Medical Center, 10800 Magnolia Ave., Riverside, CA, 92505, USA.
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Alexis A, Bhutani T, McMichael A, Choi O, Chan D, Rowland K, Gao L, Park-Wyllie L, Rodriguez A, Kindred C, Desai S. 694 Study design of a phase 3b, multicenter, randomized, double-blind, placebo-controlled trial of guselkumab (GUS) in patients with skin of color who have moderate to severe plaque and/or scalp psoriasis (VISIBLE). J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Rodriguez A, Gonzalez-Robledo G, Buitrago G, Gonzalez V. Nurse and general practioner-led up-titration strategy: a real world experience in a heart failure unit in colombia. Eur J Cardiovasc Nurs 2022. [DOI: 10.1093/eurjcn/zvac060.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background
Despite improvement of heart failure (HF) prescription rates, doses prescribed in clinical practice are lower than those achieved in randomized clinical trials. Nurse-led up-titration strategy has been widely used in Europe with promising results. Nevertheless, there is no evidence of this approach in Latin America.
Methods
A prospective cohort study was conducted in 50 patients with reduced ejection fraction to evaluate efficacy and safety of nurse and general practioner(GP)-led up-titration protocol, based on problem solving from the European Society of Cardiology HF guidelines. Patients were admitted in our HF unit from January 2017 to December 2019. After discharge our clinical pathway provides 3 types of visits : Cardiologist visits, educational visits and titration visits with GP and registered nurse. Along intervention the registered nurse lead flexible diuretic titration and structured phone monitoring calls.
Results
Baseline characteristics are showed in Table 1. Mean age was 72.5 years, 50% of patients were women, 66% had ischemic cardiomiopathy, mean N-terminal pro-B-type natiuretic peptide was 3285pg/dl, and 58% of patients were NYHA class III. At 97 days with an average of 4 up-titration visits disease-modifying drugs titration was completed. At the beginning 98% of patients had Beta Blockers (BB) , 98% had Mineralocorticoid Receptor Antagonist (MRA), and all of them had Angiotensin Converting Enzyme Inhibitors, angiotensin receptor blockers or Angiotensin Receptor Neprilysin Inhibitor (ARNI). According to the guidelines Angiotensin Converting Enzyme Inhibitors and angiotensin receptor blockers were replaced by ARNI in symptomatic patients. At the end of titration, BB target dose was achieved for 44% of patients, intermediate dose for 46% and final low dose for only 10% of patients. Ivabradine was added for 22% of patients. MRA intermediate and high doses were achieved for 82,5% of patients. Target dose of ARNI was achieved for 62% of patients, intermediate dose for 22% and only 20% of patients remained in starting dose. On average ARNI target dose was completed at 56 days. According to our protocol three patients stopped MRA due to hyperkalemia and symptomatic hypotension was the main cause for stopping up-titration. There was a relationship between patient´s caregiver and higher doses of ARNI( p=0.624) and BB (p=0.421).
Conclusion
A nurse and GP directed up-titration protocol is an encouraging strategy in HF units to achieve the recommended doses of disease-modifying drugs according to the guidelines.
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Affiliation(s)
- A Rodriguez
- Fundacion Santa Fe de Bogota , Bogota , Colombia
| | | | - G Buitrago
- Fundacion Santa Fe de Bogota , Bogota , Colombia
| | - V Gonzalez
- Fundacion Santa Fe de Bogota , Bogota , Colombia
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Blavier F, Grobet D, Duflos C, Rayssiguier R, Ranisavljevic N, Percier MD, Rodriguez A, Blockeel C, Ribeiro SDS, Faron G, Gucciardo L, Fuchs F. P-404 Usability, accuracy and cost-effectiveness of “eDiagEPU”, a medical software for early pregnancies: a retrospective study. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Study question
Can early pregnancies be accurately and cost-effectively diagnosed and managed using a new medical computerised tool, named “eDiagEPU”?
Summary answer
Compared to the standard clinical approach, the retrospective implementation of “eDiagEPU” in a gynaecological emergency unit was correlated with sharper diagnoses and more cost-effective managements.
What is known already
Early pregnancies complications are responsible for a large percentage of consultations, mostly in emergency units. Moreover, clinical guidelines updates for the management of Intrauterine Pregnancies of Uncertain Viability (IPUV) have become increasingly complex and seem to be unknown or misunderstood by several practitioners. Specifically, a recently published prospective multinational survey revealed a limited knowledge regarding early pregnancy guidelines, with 69.0% of the participants reporting incorrect managements of IPUV and 86.6% misinterpreting the evolution of serum human chorionic gonadotropin (hCG).
In an attempt to aid practitioners with the diagnosis and management of early pregnancies, a software, named “eDiagEPU”, was developed.
Study design, size, duration
A total of 780 consultations, recorded between November 2018 and June 2019 in the gynaecological emergency unit of a tertiary university hospital, were retrospectively encoded in eDiagEPU. Positive hCG, ultrasonographical visualisation of gestational sac or/and embryo corresponding to a gestational age of 14 weeks gestation or less were the inclusion criteria.
Diagnoses and managements suggested by eDiagEPU are named “eDiagnoses”. The ones provided by a gynaecologist member of the emergency department staff are called “medDiagnoses”.
Participants/materials, setting, methods
Identical eDiagnosis and medDiagnosis were considered as correct (gold standard). During follow-up examinations, if they became both identical to a previous discrepant eDiagnosis or medDiagnosis, this previous eDiagnosis/medDiagnosis was considered as correct. Persistent discrepancies were reviewed by four double-blinded experts whose majority defined the correct eDiagnosis/medDiagnosis.
The accuracies of eDiagnoses/medDiagnoses were compared using McNemar’s Chi square test, computing diagnostic values (Sensitivity, Specificity, and predictive values) and 95% Confidence Intervals (CI). Cost reduction was also analysed.
Main results and the role of chance
Only one datum (0.1%) from 780 registered medical records was missing to process using “eDiagEPU”. Out of the 779 consultations that could be fully encoded until obtaining an eDiagnosis, 675 eDiagnoses were identical to the medDiagnoses (86.6%) and 104 discrepant (13.4%). From these 104, 60 reached an agreement during follow-up controls with 59 medDiagnoses finally changing into the initial eDiagnoses (98%) while only one discrepant eDiagnosis turning later into the initial medDiagnosis (2%). Finally, 24 remained discrepant at all subsequent checks and 20 were not reevaluated. Out of these 44 discrepancies without identical diagnoses/managements during follow-up controls, the double-blinded experts majority chose 38 eDiagnoses (86%) and 5 medDiagnoses (11%) including 4 twin pregnancies whose twinness was the only discrepancy. One discrepant eDiagnosis/medDiagnosis reached no majority (2%).
In total, eDiagnoses accuracy was 99.1% (675 + 59 + 38=772 eDiagnoses out of 779 final diagnoses), vs 87.4% (675 + 1 + 5=681) for medDiagnoses accuracy (p < 0.0001). Calculating all basic costs of consultations, medications, surgeries and hospitalisations induced by medDiagnoses versus eDiagnoses, “eDiagEPU” would have saved 3 623.75 € per month.
Retrospectively, “eDiaEPU” was usable (99.9%), more accurate for each diagnosis except twinning report and more cost-effective than standard clinical approach.
Limitations, reasons for caution
The retrospective design is a limitation, as well as the quality of ultrasound interpretation. Some improvements could not derive exclusively from “eDiagEPU” but also from the encoding by a rested or more experienced physician. This software cannot replace clinical and ultrasonographical skills but can improve the diagnostic and therapeutic reasoning.
Wider implications of the findings
An improved “eDiagEPU” version, considering the diagnosis and management of multiple pregnancies with their specificities (potentially multiple locations, chorioamnionicity) has been developed. Prospective evaluations will be required. Further development steps are considered, including software incorporation into ultrasound devices and integration of previously published predictive/prognostic factors (serum progesterone, corpus luteum scoring...).
Trial registration number
NCT03993015
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Affiliation(s)
- F Blavier
- UZ Brussel, Obstetric and Prenatal Medicine , Grabels, France
| | - D Grobet
- Brussels Engineering School, Lecturer Computer Science , Brussels, Belgium
| | - C Duflos
- CHU Montpellier- Univ Montpellier, Clinical Research and Epidemiology Unit , Montpellier, France
| | - R Rayssiguier
- CHU Montpellier, Obstetric and prenatal medicine , Montpellier, France
| | | | - M. Duport Percier
- CHU Montpellier, Obstetrics and Prenatal Medicine , Montpellier, France
| | - A Rodriguez
- CHU Montpellier, Obstetrics and Prenatal Medicine , Montpellier, France
| | - C Blockeel
- UZ Brussel University Hospital, Centre for Reproductive Medicine , Brussels, Belgium
| | | | - G Faron
- UZ Brussel University Hospital, Obstetrics and Prenatal Medicine , Brussels, Belgium
| | - L Gucciardo
- UZ Brussel University Hospital, Obstetrics and Prenatal Medicine , Brussels, Belgium
| | - F Fuchs
- CHU Montpellier, Obstetrics and Prenatal Medicine , Montpellier, France
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Quintana-Vehi A, Martinez M, Durban M, Vassena R, Rodriguez A. P-211 Significant differences in efficiency between two commonly used ionophore solutions for assisted oocyte activation (AOA): a prospective comparison of ionomycin and A23187. Hum Reprod 2022. [DOI: 10.1093/humrep/deac107.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Are there differences in oocyte activation rate and developmental morphokinetic after assisted oocyte activation (AOA) with either ionomycin or A23187?
Summary answer
Ionomycin produces greater oocyte activation rate than A23187 (43.1% vs 15.9%), while the morphokinetic pattern of parthenotes’ development is similar between both Ca2+ ionophores.
What is known already
Fertilization failure (FF) after ICSI is often due to a male factor, such as the alteration of sperm-borne oocyte activating factors or globozoospermia. AOA can restore fertilization rate by stimulating transient spikes of Ca2+ in the cytoplasm of the oocyte, but its efficiency and effect on embryo development are not fully characterized. Here, the efficiency of two AOA preparation and protocols commonly used in clinical practice is compared using parthenogenetically activated human oocytes. The objective is to identify the most appropriate protocol for AOA and to compare the morphokinetic pattern of the generated parthenotes up to expanded blastocyst (tB).
Study design, size, duration
Prospective study involving 120 human oocytes from 66 women from March 2019 to November 2021. Oocytes were activated with two AOA protocols after mock ICSI: i) A23187 (ready-to-use solution, GM508 CultActive (Gynemed) n = 69), and ii) Ionomycin (homemade solution, 10 µmol/L, n = 51). Oocyte activation and development were analyzed in both groups; further, the morphokinetic patterns were compared; videos of embryos obtained with donor oocytes and sperm (n = 39) were used as comparator of normal developmental kinetics.
Participants/materials, setting, methods
Oocytes were injected with latex microspheres to simulate ICSI, followed by AOA. A23187 was used according to manufacturer specification. For ionomycin, three incubations of seven minutes each were performed. Resulting parthenotes (1PN) were incubated in a time-lapse system for 160h. Activation and developmental rates, tPNf (pronucleus fading), t2, t3, t4, t5, t8 (from 1st division to 8-cell), tsB (blastulation onset) and tB (blastocyst expansion) were compared using Student’s T-test and ANOVA. Statistical significance: p-value <0.05.
Main results and the role of chance
Ionomycin resulted in a significantly higher oocyte activation rate (22/51, 43.1%) than A23187 (11/69, 15.9%), p = 0.0009. In the ionomycin group, 81.8% (18/22) of parthenotes reached the 2-cell stage, 45.5% (10/22) reached the 5-cell stage, and 18.2% (4/22) reached the pseudo-blastocyst stage, as expected for these pseudo-embryos lacking the contribution of the sperm. In the A23187 group, 54.5% (6/11) reached the 2-cell stage, 27.3% (3/11) the 5-cell stage, and none formed pseudo-blastocysts. While the number of parthenotes progressing through development is much lower for A23187, the expected poor development of human parthenotes past activation and corresponding low numbers did not allow to reach statistical significance (p > 0.05). tPNf was significantly different among the 3 groups compared: 47.4±37.5h (n = 11, A23187), 27.7±23.8h (n = 21, ionomycin) and 23.3±4.6h (n = 39, control), p = 0.0019; with ionomycin presenting an average tPNf similar to the one obtained by ICSI. Among activated oocytes, the morphokinetic pattern in the ionomycin and A23187 groups was very similar to the one obtained in the control group (p > 0.05 at all timings). As an example, the t5 in the 3 groups was 58.5±12.6h (n = 3, A23187), 45.6±21.8h (n = 10, ionomycin), and 49.5±12.4h (n = 34, control), p = 0.29.
Limitations, reasons for caution
The low number of parthenotes progressing past 2-cells limit the possibility to extract solid conclusions regarding the morphokinetic patterns after AOA. The efficiency of activation using the two tested protocol is however confirmed.
Wider implications of the findings
The use of homemade ionomycin solutions is an effective option for the treatment of fertilization failures where assisted oocyte activation is indicated. Caution should be exerted when using GM508 Cultactive to investigate fertilization failures of oocyte origin.
Trial registration number
not applicable
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Affiliation(s)
- A Quintana-Vehi
- Clinica Eugin - Eugin Group, IVF laboratory , Barcelona, Spain
| | - M Martinez
- Clinica Eugin - Eugin Group, IVF laboratory , Barcelona, Spain
| | - M Durban
- Clinica Eugin - Eugin Group, IVF laboratory , Barcelona, Spain
| | - R Vassena
- Eugin Group, Scientific director , Barcelona, Spain
| | - A Rodriguez
- Eugin Group, Medical Director , Barcelona, Spain
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Segú X, Primé Tous M, Sanchez M, Valdesoiro F, Rodriguez A, Martín I, Costas A. Phonemic fluency in post-ICU patients after severe COVID-19 infection: The role of cognitive reserve. Eur Psychiatry 2022. [PMCID: PMC9566445 DOI: 10.1192/j.eurpsy.2022.954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Cognitive function may be impaired in COVID-19 patients, especially in executive functions such as phonemic fluency. Among risk factors, inflammation during hospitalization is related with worse cognitive performance in the long term. On the other side, it has been shown that cognitive reserve (CR) protects against cognitive impairment associated with brain damage, psychiatric disorders and neurodegenerative diseases. Objectives Our aim is to study the protective role of cognitive reserve in phonemic fluency to inflammation after SARS-CoV-2 infection. Methods We enrolled a cohort of 102 severe SARS-CoV-2 survivors after Intensive Care Unit (ICU) discharge and 58 agreed to participate in this 6-month follow-up study. Patients with previously known cognitive impairment were excluded. Demographic, clinical and laboratory data were collected. To assess the phonemic fluency, we used the Controlled Oral Word Association Test (COWAT) controlling the effects of age and education. Inflammation was recorded according to the number of days with high CRP. ANCOVA analyses were used to test the effect of interaction between medical variables and cognitive reserve on phonemic fluency. Results The COVID-19 inflammation interacted with CR in phonemic fluency (F= 6.47, p= 0.01), with worse performance in patients with low CR (mean 16.7 (10.2-23.3)) than those with high CR (mean 37.7 (34.3-41.2)) in function of number of days with high PCR during ICU stay. Conclusions The role of the cognitive reserve is important to reduce the cognitive impairment related with COVID-19 inflammation in post-ICU patients. Disclosure No significant relationships.
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Wu B, Wong C, Ma L, Moreno M, Shokoohi F, Knoblauch T, Rodriguez A, Fazzini E, Snyder T. Abstract No. 242 Symptomatology presented with dilated perivascular spaces in mTBI. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Alvarez-Ortega C, Solorzano C, Barrera A, Toquero J, Martinez-Alday JD, Grande C, Rodriguez A, Garcia-Alberola A, Perez L, Ferrero A, Hernandez J, Cozar R, Cano O, Trucco E, Peinado R. Repeat cryoablation as a redo procedure for atrial fibrillation ablation: Is it a good choice? Europace 2022. [DOI: 10.1093/europace/euac053.200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Private company. Main funding source(s): Medtronic Inc.
Introduction
Catheter ablation of atrial fibrillation, both cryoablation and radiofrequency pulmonary vein isolation, have demonstrated to be safe and effective techniques for treating symptomatic atrial fibrillation as a first procedure. However, about one in three patients may face a redo procedure due to AF recurrence. The most suitable technique for redo is unknown.
Purpose
The aim of this study is to assess the efficacy of cryoballoon AF ablation as a redo technique in patients with prior cryoballoon or radiofrequency AF ablation.
Methods
We analyzed a nation-wide real-world cryoablation registry (RECABA) and compared patients who were referred for a first cryoballoon AF ablation procedure with those who had previously undergone cryoballoon or radiofrequency pulmonary vein isolation. The primary endpoint was AF recurrence during the first year after a 3-month blanking period. We performed survival analysis and built univariate and multivariate cox regression models.
Results
From 1742 patients, 1625 had a 12-month follow-up visit. 1551 (95.45%) underwent a first cryoballoon ablation, whereas 33 (2.03%) had a previous CB ablation performed and 41 (2.52%) a previous RF ablation.
Mean age was 58.6 ±10.4 years and 511 (31.5%) were women. 463 (28.5%) had persistent atrial fibrillation and there were no major clinical differences between groups.
Prior-CB group had a higher share of veins without electrogram visualization, with a median of 100% (IQR 75%-100%), compared to prior-RF group (median 67%, IQR 25%-75%) and first procedure group (median 25%, IQR 0%-50%). Kruskal-Wallis test Chi2=54.35, p<0.0001.
12-month Kaplan–Meier estimate of freedom from AF recurrence after the blanking period was 78.5% (95% CI 76.2% - 80.7%) in the first procedure group, 61.0% (95% CI 41.4% - 75.8%) in the prior-CB and 89.2% (95% CI 73.6% - 95.9%) in the prior-RF group. Log-rank test Chi2=17.49, p<0.0001.
Multivariate cox regression analysis pointed female sex, persistent AF, and prior-CB ablation as independent predictors of AF recurrence. The adjusted HR for AF recurrence of prior-CB ablation vs first-CB ablation was 3.13 (95% CI 1.82 -5.40) and for prior-RF vs first CB-ablation was 1.01 (95% CI 0.51 – 1.97).
Conclusion
Repeat cryoballoon AF ablation shows higher rates of AF recurrences compared to first CB procedures or after prior RF ablation. These data suggest that patients with AF recurrence after CB-ablation have worse arrhythmic outcomes and may benefit from other ablation techniques after a recurrence.
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Affiliation(s)
| | - C Solorzano
- University Hospital La Paz, Cardiology, Madrid, Spain
| | - A Barrera
- UNIVERSITY HOSPITAL VIRGEN DE LA VICTORIA, Cardiology, Malaga, Spain
| | - J Toquero
- University Hospital Puerta de Hierro Majadahonda, Cardiology, Madrid, Spain
| | | | - C Grande
- Hospital Universitari Son Espases, Cardiology, Palma de Mallorca, Spain
| | - A Rodriguez
- INCANIS Hospital Universitario de Canarias, Cardiology, La Laguna, Spain
| | | | - L Perez
- CHUAC, Cardiology, A Coruna, Spain
| | - A Ferrero
- University Clinical Hospital Valencia, Cardiology, Valencia, Spain
| | - J Hernandez
- University Hospital Nuestra Se?ora de Candelaria, Cardiology, Santa Cruz de Tenerife, Spain
| | - R Cozar
- UNIVERSITY HOSPITAL VIRGEN MACARENA, Cardiology, Seville, Spain
| | - O Cano
- University Hospital La Fe, Cardiology, Valencia, Spain
| | - E Trucco
- University Hospital de Girona Dr. Josep Trueta, Cardiology, Girona, Spain
| | - R Peinado
- University Hospital La Paz, Cardiology, Madrid, Spain
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Blay JY, Palmerini E, Bollard J, Aguiar S, Angel M, Araya B, Badilla R, Bernabeu D, Campos F, Chs CS, Carvajal Montoya A, Casavilca-Zambrano S, Castro-Oliden, Chacón M, Clara-Altamirano MA, Collini P, Correa Genoroso R, Costa FD, Cuellar M, Dei Tos AP, Dominguez Malagon HR, Donati DM, Dufresne A, Eriksson M, Farias-Loza M, Frezza AM, Frisoni T, Garcia-Ortega DY, Gerderblom H, Gouin F, Gómez-Mateo MC, Gronchi A, Haro J, Hindi N, Huanca L, Jimenez N, Karanian M, Kasper B, Lopes A, Lopes David BB, Lopez-Pousa A, Lutter G, Maki RG, Martinez-Said H, Martinez-Tlahuel JL, Mello CA, Morales Pérez JM, Moura DS, Nakagawa SA, Nascimento AG, Ortiz-Cruz EJ, Patel S, Pfluger Y, Provenzano S, Righi A, Rodriguez A, Santos TG, Scotlandi K, Mlg S, Soulé T, Stacchiotti S, Valverde CM, Waisberg F, Zamora Estrada E, Martin-Broto J. SELNET clinical practice guidelines for bone sarcoma. Crit Rev Oncol Hematol 2022; 174:103685. [PMID: 35460913 DOI: 10.1016/j.critrevonc.2022.103685] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/14/2022] [Accepted: 04/14/2022] [Indexed: 11/29/2022] Open
Abstract
Bone sarcoma are infrequent diseases, representing < 0.2% of all adult neoplasms. A multidisciplinary management within reference centers for sarcoma, with discussion of the diagnostic and therapeutic strategies within an expert multidisciplinary tumour board, is essential for these patients, given its heterogeneity and low frequency. This approach leads to an improvement in patient's outcome, as demonstrated in several studies. The Sarcoma European Latin-American Network (SELNET), aims to improve clinical outcome in sarcoma care, with a special focus in Latin-American countries. These Clinical Practice Guidelines (CPG) have been developed and agreed by a multidisciplinary expert group (including medical and radiation oncologist, surgical oncologist, orthopaedic surgeons, radiologist, pathologist, molecular biologist and representatives of patients advocacy groups) of the SELNET consortium, and are conceived to provide the standard approach to diagnosis, treatment and follow-up of bone sarcoma patients in the Latin-American context.
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Affiliation(s)
- J Y Blay
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France.
| | - E Palmerini
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136, Bologna, Italy
| | - J Bollard
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - S Aguiar
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - M Angel
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - B Araya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - R Badilla
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - D Bernabeu
- Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046 Madrid, Spain
| | - F Campos
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - Caro-Sánchez Chs
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - A Carvajal Montoya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - S Casavilca-Zambrano
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima, Peru
| | - Castro-Oliden
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima, Peru
| | - M Chacón
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - M A Clara-Altamirano
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - P Collini
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - R Correa Genoroso
- Hospital Clínico Universitario Virgen de la Victoria, Campus Universitario de Teatinos s/n, 29010, Malaga, Spain
| | - F D Costa
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - M Cuellar
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - A P Dei Tos
- Treviso General Hospital Treviso, University of Padua, Padova, Italy
| | - H R Dominguez Malagon
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - D M Donati
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136, Bologna, Italy
| | - A Dufresne
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - M Eriksson
- Skane University Hospital and Lund University, Lund, Sweden
| | - M Farias-Loza
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima, Peru
| | - A M Frezza
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - T Frisoni
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136, Bologna, Italy
| | - D Y Garcia-Ortega
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - H Gerderblom
- Leiden University Medical Center, Leiden, The Netherlands
| | - F Gouin
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - M C Gómez-Mateo
- Hospital Universitario Miguel Servet, Paseo Isabel la Católica, 1-3, 50009 Zaragoza, Spain
| | - A Gronchi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - J Haro
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima, Peru
| | - N Hindi
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
| | - L Huanca
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima, Peru
| | - N Jimenez
- Hospital San Vicente de Paúl, Avenue 16, streets 10 and 14, Heredia, Costa Rica
| | - M Karanian
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - B Kasper
- University of Heidelberg, Mannheim Cancer Center, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - A Lopes
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - B B Lopes David
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Lopez-Pousa
- Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, 08041 Barcelona, Spain
| | - G Lutter
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - R G Maki
- University of Pennsylvania, Abramson Cancer Center, 3400 Civic Center Boulevard, Philadelphia, PA 19104 USA
| | - H Martinez-Said
- Centro Oncologico Integral, Hospital Medica Sur, Planta Baja Torre III - Cons. 305, Col. Toriello Guerra, Deleg. Tlalpan. C.P., 14050, Mexico, D.F
| | - J L Martinez-Tlahuel
- Instituto Nacional de Cancerologia, Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP, 14080 Tlalpan Mexico
| | - C A Mello
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - J M Morales Pérez
- Centro Oncologico Integral, Hospital Medica Sur, Planta Baja Torre III - Cons. 305, Col. Toriello Guerra, Deleg. Tlalpan. C.P., 14050, Mexico, D.F
| | - D S Moura
- Hospital Universitario Virgen del Rocio, Av Manuel Siurot s/n, 41013 Sevilla, Spain
| | - S A Nakagawa
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - A G Nascimento
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - E J Ortiz-Cruz
- Hospital Universitario La Paz, MD Anderson Cancer Center, Calle de Arturo Soria, 270, 28033 Madrid, Spain
| | - S Patel
- UT MD Anderson Cancer Center, Houston, TX, USA
| | - Y Pfluger
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - S Provenzano
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Righi
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136, Bologna, Italy
| | - A Rodriguez
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - T G Santos
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - K Scotlandi
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136, Bologna, Italy
| | - Silva Mlg
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo 01509-010, Brazil
| | - T Soulé
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - S Stacchiotti
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - C M Valverde
- Vall d´Hebrón University Hospital, Passeig de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - F Waisberg
- Instituto Alexander Fleming, Av. Cramer 1180. CP, C1426ANZ Buenos Aires, Argentina
| | - E Zamora Estrada
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - J Martin-Broto
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
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Walker JM, Sundarasivarao PYK, Thornton JM, Sochacki K, Rodriguez A, Spur BW, Acharya NK, Yin K. Resolvin D2 promotes host defense in a 2 - hit model of sepsis with secondary lung infection. Prostaglandins Other Lipid Mediat 2022; 159:106617. [PMID: 35007703 PMCID: PMC8920764 DOI: 10.1016/j.prostaglandins.2022.106617] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 12/30/2021] [Accepted: 01/03/2022] [Indexed: 12/17/2022]
Abstract
In the development of sepsis, there is early, massive inflammation which can lead to multiple organ failure. Later there is an immunosuppressed phase where the host is susceptible to secondary infections or is unable to clear existing infection. Specialized Pro-resolving Mediators (SPMs) are endogenously produced lipids which resolve infection by decreasing bacteria load and reducing systemic inflammatory response. There has been little work studying if SPMs given late, can promote host defense. We examined if an SPM, Resolvin D2 (RvD2) could promote host defense in a 2-hit mouse model of cecal ligation and puncture (CLP) sepsis and secondary Pseudomonas aeruginosa lung infection. RvD2 given 48 h after mild CLP (1st hit), increased gene expression of Toll-like receptor-2 (TLR-2) and alveolar macrophage/monocyte phagocytic ability compared to CLP mice given saline vehicle. In this model, RvD2 did not affect plasma IL-6 or IL-10. These effects induced by RvD2, lowered lung bacterial load and decreased mortality after the secondary infection of Pseudomonas aeruginosa (2nd hit). Splenic T-cell numbers were also increased in RvD2 treated mice compared to saline vehicle treated animals. The results suggest that RvD2 promoted mechanisms of host defense in a 2-hit model sepsis and secondary lung infection.
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Affiliation(s)
- J M Walker
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - P Y Kadiyam Sundarasivarao
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - J M Thornton
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - K Sochacki
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - A Rodriguez
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - B W Spur
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - N K Acharya
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA; Biomarker Discovery Center, New Jersey Institute of Successful Aging, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA
| | - K Yin
- Department of Cell Biology and Neuroscience, Rowan University - School of Osteopathic Medicine, Stratford, NJ, USA.
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Blay JY, Hindi N, Bollard J, Aguiar S, Angel M, Araya B, Badilla R, Bernabeu D, Campos F, Caro-Sánchez CHS, Carvajal B, Carvajal Montoya A, Casavilca-Zambrano S, Castro-Oliden V, Chacón M, Clara M, Collini P, Correa Genoroso R, Costa FD, Cuellar M, Dei Tos AP, Dominguez Malagon HR, Donati D, Dufresne A, Eriksson M, Farias-Loza M, Fernandez P, Frezza AM, Frisoni T, Garcia-Ortega DY, Gelderblom H, Gouin F, Gómez-Mateo MC, Gronchi A, Haro J, Huanca L, Jimenez N, Karanian M, Kasper B, Lopes David BB, Lopez-Pousa A, Lutter G, Martinez-Said H, Martinez-Tlahuel J, Mello CA, Morales Pérez JM, Moura David S, Nascimento AG, Ortiz-Cruz EJ, Palmerini E, Patel S, Pfluger Y, Provenzano S, Righi A, Rodriguez A, Salas R, Santos TTG, Scotlandi K, Soule T, Stacchiotti S, Valverde C, Waisberg F, Zamora Estrada E, Martin-Broto J. SELNET clinical practice guidelines for soft tissue sarcoma and GIST. Cancer Treat Rev 2022; 102:102312. [PMID: 34798363 DOI: 10.1016/j.ctrv.2021.102312] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 10/30/2021] [Indexed: 12/12/2022]
Affiliation(s)
- J Y Blay
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France.
| | - N Hindi
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
| | - J Bollard
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - S Aguiar
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - M Angel
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - B Araya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - R Badilla
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - D Bernabeu
- Hospital Universitario La Paz, Paseo de la Castellana, 261, 28046 Madrid, Spain
| | - F Campos
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - C H S Caro-Sánchez
- Instituto Nacional de Cancerologia. Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP 14080, Tlalpan Mexico
| | - B Carvajal
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - A Carvajal Montoya
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - S Casavilca-Zambrano
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - V Castro-Oliden
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - M Chacón
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - M Clara
- Instituto Nacional de Cancerologia. Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP 14080, Tlalpan Mexico
| | - P Collini
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - R Correa Genoroso
- Hospital Clínico Universitario Virgen de la Victoria, Campus Universitario de Teatinos s/n, 29010 Malaga, Spain
| | - F D Costa
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - M Cuellar
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - A P Dei Tos
- Treviso General Hospital Treviso, University of Padua, Padova, Italy
| | - H R Dominguez Malagon
- Instituto Nacional de Cancerologia. Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP 14080, Tlalpan Mexico
| | - D Donati
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy
| | - A Dufresne
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - M Eriksson
- Skane University Hospital and Lund University, Lund, Sweden
| | - M Farias-Loza
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | | | - A M Frezza
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - T Frisoni
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy
| | - D Y Garcia-Ortega
- Instituto Nacional de Cancerologia. Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP 14080, Tlalpan Mexico
| | - H Gelderblom
- Leiden University Medical Center, Leiden, the Netherlands
| | - F Gouin
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - M C Gómez-Mateo
- Hospital Universitario Miguel Servet, Paseo Isabel la Católica, 1-3, 50009 Zaragoza, Spain
| | - A Gronchi
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - J Haro
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - L Huanca
- Instituto Nacional de Enfermedades Neoplásicas, Av. Angamos Este 2520, Lima 34, Peru
| | - N Jimenez
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - M Karanian
- Léon Bérard Center, 28 rue Laennec 69373 Lyon Cedex 08, France
| | - B Kasper
- University of Heidelberg, Mannheim Cancer Center, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - B B Lopes David
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Lopez-Pousa
- Hospital de la Santa Creu i Sant Pau, Carrer de Sant Quintí, 89, 08041 Barcelona, Espagne
| | - G Lutter
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - H Martinez-Said
- Centro Oncologico Integral, Hospital Medica Sur, Planta Baja Torre III - Cons. 305, Col. Toriello Guerra, Deleg. Tlalpan. C.P. 14050, Mexico, D.F
| | - J Martinez-Tlahuel
- Instituto Nacional de Cancerologia. Torre Nueva de Hospitalización, primer piso. Av. San Fernando 86, Colonia Niño Jesus. CP 14080, Tlalpan Mexico
| | - C A Mello
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - J M Morales Pérez
- Hospital Universitario Virgen del Rocio, Av Manuel Siurot s/n, 41013 Sevilla, Spain
| | - S Moura David
- Hospital Universitario Virgen del Rocio, Av Manuel Siurot s/n, 41013 Sevilla, Spain
| | - A G Nascimento
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - E J Ortiz-Cruz
- Hospital Universitario La Paz, MD Anderson Cancer Center, Calle de Arturo Soria, 270 28033 Madrid, Spain
| | - E Palmerini
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy
| | - S Patel
- UT MD Anderson Cancer Center, Houston, TX, USA
| | - Y Pfluger
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - S Provenzano
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - A Righi
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy
| | - A Rodriguez
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - R Salas
- Fundación GIST México, Altadena 59, Nápoles, Benito Juárez, 03810 Ciudad de Mexico, CDMX, Mexico
| | - T T G Santos
- A.C.Camargo Cancer Center, Rua prof Antonio Prudente, 211 - Liberdade, São Paulo - SP 01509-010, Brazil
| | - K Scotlandi
- IRCCS Istituto Ortopedico Rizzoli, University of Bologna, Via Pupilli, 1, 40136 Bologna, Italy
| | - T Soule
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - S Stacchiotti
- Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy
| | - C Valverde
- Vall d́Hebrón University Hospital, Passeig de la Vall d'Hebron, 119, 08035 Barcelona, Spain
| | - F Waisberg
- Instituto Alexander Fleming. Av. Cramer 1180. CP C1426ANZ, Buenos Aires, Argentina
| | - E Zamora Estrada
- Hospital Dr. R. A. Calderón Guardia, 7-9 Av, 15-17 St, Aranjuez, San José, Costa Rica
| | - J Martin-Broto
- Research Health Institute Fundacion Jimenez Diaz (IIS/FJD), 28015 Madrid, Spain; Hospital Fundación Jimenez Diaz University Hospital, 28040 Madrid, Spain; General de Villalba University Hospital, 28400 Madrid, Spain
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Sullivan AE, Tappan SJ, Angstman PJ, Rodriguez A, Thomas GC, Hoppes DM, Abdul-Karim MA, Heal ML, Glaser JR. A Comprehensive, FAIR File Format for Neuroanatomical Structure Modeling. Neuroinformatics 2022; 20:221-240. [PMID: 34601704 PMCID: PMC8975944 DOI: 10.1007/s12021-021-09530-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2021] [Indexed: 01/09/2023]
Abstract
With advances in microscopy and computer science, the technique of digitally reconstructing, modeling, and quantifying microscopic anatomies has become central to many fields of biological research. MBF Bioscience has chosen to openly document their digital reconstruction file format, the Neuromorphological File Specification, available at www.mbfbioscience.com/filespecification (Angstman et al., 2020). The format, created and maintained by MBF Bioscience, is broadly utilized by the neuroscience community. The data format's structure and capabilities have evolved since its inception, with modifications made to keep pace with advancements in microscopy and the scientific questions raised by worldwide experts in the field. More recent modifications to the neuromorphological file format ensure it abides by the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles promoted by the International Neuroinformatics Coordinating Facility (INCF; Wilkinson et al., Scientific Data, 3, 160018,, 2016). The incorporated metadata make it easy to identify and repurpose these data types for downstream applications and investigation. This publication describes key elements of the file format and details their relevant structural advantages in an effort to encourage the reuse of these rich data files for alternative analysis or reproduction of derived conclusions.
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Abstract
AbstractUV/Vis absorption spectroelectrochemistry is a very promising analytical technique due to the complementary information that is simultaneously obtained from electrochemistry and spectroscopy. In this work, this technique is used in a parallel configuration to study the oxidation of folic acid in alkaline medium. Herein, UV/Vis absorption spectroelectrochemistry has been used to detect both the oxidation products and the folic acid consumed at the electrode/solution interface, allowing us to develop an analytical protocol to quantify vitamin B9 in pharmaceutical tablets. Linear ranges of three orders of magnitude have been achieved in basic medium (pH = 12.9), obtaining high repeatability and low detection limits. The spectroelectrochemical determination of folic acid in pharmaceutical tablets at alkaline pH values is particularly interesting because of the changes that occur in the optical signal during the electrochemical oxidation of FA, providing results with very good figures of merit and demonstrating the utility and versatility of this hyphenated technique, UV/Vis absorption spectroelectrochemistry.
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Watanabe M, Sianoya A, Mishima R, Therdtatha P, Rodriguez A, Ramos DC, Lee YK, Dalmacio LM, Nakayama J. Gut microbiome status of urban and rural Filipino adults in relation to diet and metabolic disorders. FEMS Microbiol Lett 2021; 368:6445026. [PMID: 34849762 DOI: 10.1093/femsle/fnab149] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/25/2021] [Indexed: 12/17/2022] Open
Abstract
Here, we aim to understand the condition of the gut microbiome of Filipino adults in relation to their diet and metabolic status. Compared to rural Albay (n = 67), the gut microbiome of subjects living in urban Manila (n = 25) was more colonized by the order Clostridiales, which was negatively correlated with host carbohydrate consumption. Principal component analysis using the genus composition of the 92 total subjects indicated four microbiome types: one type driven by Prevotella, which was associated with high rice consumption and mainly consisted of healthy Albay subjects, one Clostridiales-driven group containing a number of type 2 diabetes mellitus (T2D) subjects from both Manila and Albay who showed lower butyrate levels in association with a decrease in Mediterraneibacter faecis, and the other two types showing dysbiosis-like microbiomes with Lactobacillus and Bifidobacterium overgrowth, with a high ratio of T2D and obese subjects. Multivariate logistic regression analysis suggested high dietary energy intake, and two Veillonellaeae genera, Dialister and Megasphaera, as T2D risk factors, while Prevotella and M. faecis as anti-T2D factors. In conclusion, low-carbohydrate diets restructured the Prevotella-driven gut microbiome, which may predispose Filipino people with high energy diet to T2D.
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Affiliation(s)
- Mai Watanabe
- Laboratory of Microbial Technology, Division of Systems Bioengineering, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Abraham Sianoya
- Department of Biochemistry and Molecular Biology (DBMB), College of Medicine, University of the Philippines Manila, 547 Pedro Gil Street, Ermita, Manila 1000 Philippines
| | - Riko Mishima
- Laboratory of Microbial Technology, Division of Systems Bioengineering, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Phatthanaphong Therdtatha
- Laboratory of Microbial Technology, Division of Systems Bioengineering, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Abigail Rodriguez
- Department of Biochemistry and Molecular Biology (DBMB), College of Medicine, University of the Philippines Manila, 547 Pedro Gil Street, Ermita, Manila 1000 Philippines
| | - Donna Christene Ramos
- Department of Biochemistry and Molecular Biology (DBMB), College of Medicine, University of the Philippines Manila, 547 Pedro Gil Street, Ermita, Manila 1000 Philippines
| | - Yuan Kun Lee
- Department of Microbiology and Immunology, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore
| | - Leslie Michelle Dalmacio
- Department of Biochemistry and Molecular Biology (DBMB), College of Medicine, University of the Philippines Manila, 547 Pedro Gil Street, Ermita, Manila 1000 Philippines
| | - Jiro Nakayama
- Laboratory of Microbial Technology, Division of Systems Bioengineering, Department of Bioscience and Biotechnology, Faculty of Agriculture, Graduate School, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
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Gorría Puga T, Teixidó C, Auclin E, Gataa I, Nalda I, Reyes R, Rodriguez A, Riudavets Melia M, Aldea M, Seguí E, Riu G, Arcocha A, Prat A, Viñolas N, Planchard D, Martinez D, Reguart N, Adam J, Besse B, Mezquita L. 184P Association of tumor-associated neutrophils (TAN) with immunotherapy outcomes in patients in advanced non-small cell lung cancer. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.10.204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Vallés J, Diaz E, Carles Oliva J, Martínez M, Navas A, Mesquida J, Gruartmoner G, de Haro C, Mestre J, Guía C, Rodriguez A, Ochagavía A. Clinical risk factors for early mortality in patients with community-acquired septic shock. The importance of adequate source control. Med Intensiva 2021; 45:541-551. [PMID: 34839885 DOI: 10.1016/j.medine.2020.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 05/16/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the incidence and risk factors for early mortality (EM) in the ICU in patients with community-acquired septic shock (CASS). DESIGN A retrospective cohort study of patients with CASS admitted to the ICU (2003-2016). SETTING ICU at a University Hospital in Spain. PATIENTS All consecutive patients admitted to the ICU with CASS. INTERVENTIONS None. MAIN VARIABLES OF INTEREST CASS was defined according to the Sepsis-3 definitions. EM were defined as occurring within of 72h following ICU admission. A multinomial logistic regression analysis was performed to identify the risk factors associated with early deaths. RESULTS During the study period, 625 patients met the Sepsis-3 criteria and admitted with CASS. 14.4% of all patients died within the first 72h. Of 161 patients who died in the ICU, 90 (55.9%) died within the first 72h. The percentage of early and late mortality did not vary significantly during the study period. The need and adequacy of source control were significantly lower in patients with EM. In the multivariate analysis, ARDS, non-respiratory infections, bacteremia and severity at admission were variables independently associated with EM. The only factor that decreased EM was adequate source control in patients with infections amenable to source control. CONCLUSIONS The incidence of EM has remained stable over time, which means that more than half of the patients who die from CASS do so within the first 72h. Infections where adequate source control can be performed have lower EM.
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Affiliation(s)
- J Vallés
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain.
| | - E Diaz
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - J Carles Oliva
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - M Martínez
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - A Navas
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - J Mesquida
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - G Gruartmoner
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - C de Haro
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - J Mestre
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - C Guía
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - A Rodriguez
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
| | - A Ochagavía
- Critical Care Department, Fundació Parc Taulí, Hospital Universitari Parc Taulí, Sabadell, Spain
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Conde-Moreno A, Lopez F, Hervas A, Morillo V, Mendez A, Puertas M, Albarrán J, De Iturriaga A, Rico M, Vázquez de la Torre M, Ots P, Romasanta L, Peidro J, Ibañez C, Ferrer F, Zapatero A, Anchuelo J, Rodriguez A, Albiach C. Phase II Trial of SBRT and Androgen Deprivation for Oligometastases in Prostate Cancer. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Rodriguez A, Biazus Dalcin C, McGoldrick N, van Blerk L, Murray C, Freeman R. Co-designing a training package to promote health/oral health for people experiencing homelessness. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
In Scotland, 31,333 households were assessed as experiencing homelessness in 2019/20. This population present high morbidity and mortality which is a public health issue. Their health needs have been identified within Scottish policy as part of the broad goal of reducing inequalities and poverty. Those experiencing homelessness face multiple exclusions that must be addressed by practitioners from all health and social care sectors. Frontline staff have identified they often do not have adequate information and/or training on wider health issues linked with their client's needs. The aim of this research is to co-produce training resources to support front-line staff to discuss and to promote health and oral health.
Methods
Community-based participatory research that used online workshops to listen to the views of people with lived experience, practitioners and students from health and third sector, and policy makers regarding accessibility of services and practitioner approach towards those experiencing homelessness. Content analysis will be used to identified recurrent themes.
Results
The preliminary findings shown that lack of empathy from practitioners, continuity of care and stigma are barriers to access services. This is informing a co-designed knowledge exchange training packaged to help practitioners to improve knowledge and ability to promote health/oral health and to engage with people experiencing homelessness or at risk of becoming homeless. Educational materials (e-book on health promotion, comics books on barriers to access services, and a guide to promote oral health) compose this training package.
Conclusions
The training package allows adaptations to different settings and contexts and will be an important resource to be used by practitioners from different fields to prevent and tackle homelessness. Participants are sharing important views related to the need of a human rights and social justice-based approach to health promotion.
Key messages
Development of a co-designed knowledge exchange training package to improve practitioners' knowledge and ability to communicate and to engage with people experiencing homelessness. To empower people experiencing homelessness regarding positive health/oral health behavior change.
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Affiliation(s)
- A Rodriguez
- School of Dentistry, University of Dundee, Dundee, UK
| | - C Biazus Dalcin
- School of Dentistry, University of Dundee, Dundee, UK
- School of Education and Social Work, University of Dundee, Dundee, UK
| | - N McGoldrick
- School of Dentistry, University of Dundee, Dundee, UK
| | - L van Blerk
- School of Social Sciences, University of Dundee, Dundee, UK
| | - C Murray
- School of Humanities, University of Dundee, Dundee, UK
| | - R Freeman
- School of Dentistry, University of Dundee, Dundee, UK
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Biazus Dalcin C, Rodriguez A, Fernandes F, Swinney A, Bezerra Pinheiro AK, Rocha P, Lomba L. Healthcare needs of young people transitioning back to the community after a custodial sentence. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
People in prison have poorer health outcomes than the general population, added by the long-term impact of incarceration on mortality. Young people in custody face extra challenges associated with the stage of development. There is a lack of a tailored approach and policy to young people when transitioning back to the community. This paper draws from a PhD research that looked at the challenges to access healthcare during the transition back to the community. The specific question is: What are young people's healthcare needs when released from custodial sentences?
Methods
An ethnographic study conducted in Scotland in partnership with a community-based organisation. The participants were eight young people and ten practitioners that work in health and social care. Participatory observation and in-depth interviews were used to collect data during July 2019 and March 2020. Data analysis was conducted with Reflexive thematic analysis. NVivo supported data management.
Results
The identified needs were individualised issues, structural factors, mental health, substance use and geographical disposition of services. There is a need for mental support and continuity of care associated with substance use. The demand for local services is vital for healthcare provision. Healthcare needs go beyond the necessity of services and health issues. They are associated with stigma in the interaction with practitioners. Institutional practices and practitioners' attitudes reinforce non-explicit forms of discrimination and health inequalities.
Conclusions
Practitioners and policymakers need to focus on the person-centred approach. They need to listen to young people. Data showed a need for specific services, like mental health and drug use. Moreover, practitioners need to avoid stigmatisation and discrimination by a caring practice. Public health and social care policies need to address stigma and access to services for young people after a custodial sentence.
Key messages
It is necessary to avoid stigmatisation and improve access to services for young people transitioning back to the community after a custodial sentence. Public Health and social care policies need to address this marginalised group by offering person-centred approaches, continuity of care and support during re-entry.
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Affiliation(s)
- C Biazus Dalcin
- School of Education and Social Work, University of Dundee, Dundee, UK
- School of Dentistry, University of Dundee, Dundee, UK
| | - A Rodriguez
- School of Dentistry, University of Dundee, Dundee, UK
| | - F Fernandes
- School of Education and Social Work, University of Dundee, Dundee, UK
| | - A Swinney
- School of Education and Social Work, University of Dundee, Dundee, UK
| | | | - P Rocha
- Nursing Department, Universidade Federal de Santa Catarina, Florianópolis, Brazil
| | - L Lomba
- Nursing School, Escola Superior de Enfermagem de Coimbra, Coimbra, Portugal
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Calvo CJ, Rodriguez A, Almar E, Arias O, Lozano W, Alberola A, Zarzoso M. Altered atrial restitution dynamics and refractoriness in metabolic syndrome due to up-regulation of potassium repolarizing currents increases susceptibility to atrial fibrillation. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.3323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Metabolic alterations, such as Metabolic Syndrome (MS), describe an association of factors including diabetes, hypertension, obesity and dyslipidemia, linked to higher risk and prevalence of overall cardiovascular disease, arrhythmogenesis and sudden cardiac death. Obese and diabetic patients have shown an increased risk for developing atrial fibrillation (AF). However, underlying mechanisms are not understood.
Purpose
To study the effects of MS and obesity remodeling in atrial restitution dynamics, frequency-dependent adaptation, refractoriness and its potential susceptibility to AF.
Methods
Electrophysiological experimental data from High-fat (HF-O, standard rabbit chow with an additional 15% fat) and Hig-fat High-Sucrose Metabolic Syndrome (HFHS-MS, 10% hydrogenated coconut oil and 5% lard, 15% high-sucrose dissolved in water) rabbit models were used to adjust computational models atrial electrophysiology remodeling under each condition. Additionally, isoproterenol and AF conditions were considered to challenge both in-silico models. Validation and sensitivity analysis were performed for each model parameters. Computational simulations in conditions of pacing at different pacing cycle lengths was assessed at 100, 125, 150, 200, 250, 350, 450, 500, 650, 750, 850, 1000 ms. Restitution dynamics were automatically determined and analyzed, as well as restitution slopes and presence of automaticity, early after-depolarizations, alternans and cardiac arrhythmia induction.
Results
Shortening of action potential duration and refractoriness in the left atrium was observed under HFHS-MS. Upstroke velocity, maximum excitability and sodium availability were altered both in HF-O and HFHS-MS. HF-O remodeling showed presence of alternans at high pacing frequencies. Repolarization restitution was shortened in conditions of ISO and MS-AF. Restitution slopes were >1 in HF-O and HFHS-MS, which was correlated to higher susceptibility to AF, and further increased in MS-AF. Under MS-AF, abbreviation in APD in both atria, resulted in increased reentrant frequencies in AF, which was exacerbated under IK1 up-regulation, increasing atrial vulnerability.
Conclusions
HFHS-MS underlies modifications in atrial electrophysiology including shorter refractoriness in HFHS-MS, as well as modifications in atrial excitability, which may be pro-arrhythmic mainly at high frequency rates. This could be explained in part by an up-regulation of outward potassium channels. These results could partially explain increased susceptibility for AF in MS.
Funding Acknowledgement
Type of funding sources: None.
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Affiliation(s)
- C J Calvo
- University of Valencia, CIBERCV, Department of Physiology, Valencia, Spain
| | - A Rodriguez
- Polytechnic University of Valencia, Universitat Politècnica de València, Valencia, Spain
| | - E Almar
- Polytechnic University of Valencia, Universitat Politècnica de València, Valencia, Spain
| | - O Arias
- University of Valencia, Valencia, Spain
| | - W Lozano
- University of Valencia, Valencia, Spain
| | | | - M Zarzoso
- University of Valencia, Valencia, Spain
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Briongos Figuero S, Garcia Alberola A, Rubio J, Segura JM, Rodriguez A, Peinado R, Alzueta J, Martinez Ferrer JB, Vinolas X, Munoz Aguilera R, Perez ML. Long-term outcomes among a cohort of 4296 implantable cardioverter-defibrillator patients: insights from the UMBRELLA study. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.0345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
Large observational real-world studies describing modern implantable cardioverter-defibrillator (ICD) populations with long-term follow-up are lacking.
Purpose
To assess the incidence of arrhythmias in a cohort of contemporary patients undergoing ICD implant from 2005 and 2017 and to analyze the arrhythmic risk and mortality according to their clinical profiles.
Methods
UMBRELLA (NTC01561144) is a prospective, multicentre, nationwide study of ICD patients followed by remote monitoring. All device information was automatically stored through the remote monitoring system and a blinded review of all the stored arrhythmic episodes was performed. The study outcomes were first appropriate ICD therapy and all-cause death.
Results
The study population consisted of 4296 patients (61.9±12.9 years, ischaemic cardiomyopathy (ICM): n=2150, dilated cardiomyopathy (DCM): n=1166, valvular heart disease (VHD): n=119, hypertrophic cardiomyopathy (HCM): n=294, arrhythmogenic right ventricular cardiomyopathy (ARVC): n=71, Brugada syndrome (BS): n=143, long QT syndrome (LQTS): n=43, and adult congenital heart disease (ACHD): n=60)). Primary prevention (PP) was the main indication (n=2758).
During a mean follow-up of 46.6±27.3 months, 16,067 episodes of sustained ventricular arrhythmia (SVA) occurred in 1344 patients. Appropriate ICD therapy was delivered to 85.7% (n=13,767) episodes of SVA in 1173 patients (27.3% of population). A higher risk of first appropriate ICD therapy was observed in VHD (HR: 1.94, 95% CI: 1.43–2.62), ARVC (HR: 1.84, 95% CI: 1.28–2.66), ICM (HR: 1.51, 95% CI: 1.29–1.78), and DCM (HR: 1.28, 95% CI: 1.07–1.53) whereas patients with HCM (HR: 0.72, 95% CI: 0.54–0.96) and BS (HR: 0.25, 95% CI: 0.14–0.45) were at significantly lower risk (Figure 1A). In multivariate analysis (Table 1), age, gender, atrial fibrillation (AF), secondary prevention, LVEF ≤35%, and QRS width emerged as clinical predictors of appropriate ICD therapy, whereas CRT-D correlated with lower risk. An independently higher risk was found in DCM, VHD, and ARVC, and a lower risk in BS patients.
At follow-up, 590 deaths (13.4% of population) were reported. Patients with ICM (HR 3.90, 95% CI: 2.58–5.90), DCM (HR 3.33, CI 95%: 2.18–5.10), and VHD (HR 3.97, CI 95%: 2.25–6.99) had worse prognoses and it was significantly better in BS patients (HR 0.11, 95% CI: 0.01–0.67, p=0.017) (Figure 1B). In multivariate analysis, age, gender, AF, renal failure, diabetes and reduced LVEF, emerged as independent predictors of all-cause death (Table 1).
Conclusions
Irrespective of the aetiology, contemporary ICD patients with an arrhythmic substrate derived from left ventricular systolic dysfunction had a similar risk of ICD life-saving interventions and death.
Funding Acknowledgement
Type of funding sources: None. Table 1Figure 1
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Affiliation(s)
| | | | - J Rubio
- University Hospital Clinic of Valladolid, Valladolid, Spain
| | - J M Segura
- University Hospital Reina Sofia, Cordoba, Spain
| | - A Rodriguez
- University Hospital of the Canaries, Santa Cruz de Tenerife, Spain
| | - R Peinado
- University Hospital La Paz, Madrid, Spain
| | - J Alzueta
- University Hospital Virgen de la Victoria, Malaga, Spain
| | | | - X Vinolas
- Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - R Munoz Aguilera
- Public Hospital of Vallecas - Hospital Infanta Leonor, Madrid, Spain
| | - M L Perez
- University Hospital Complex A Coruña, A Coruña, Spain
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Montes J, Coratti G, Scoto M, Balashkin J, Pera M, Samsuddin S, Martens W, Bozzardi A, Rodriguez A, Civitello M, Madden M, Lings B, Rohwer A, Hall S, Zolkipli Z, Day J, Darras B, De Vivo D, Muntoni F, Finkel R, Mercuri E. SMA CLINICAL DATA. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Kerkeni N, Raynal N, Rodriguez A, Cuny M, Leray-Moragues H, Ricard E, Guiraud C, Turc-Baron C, Bosc J, Chalabi L. Étude observationnelle d’évolution de la COVID-19 dans une population de patients hémodialysés avec étude d’impact des comorbidités. Nephrol Ther 2021. [PMCID: PMC8435331 DOI: 10.1016/j.nephro.2021.07.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Introduction Nos patients dialysés ont été particulièrement exposés à la pandémie de COVID-19. Description Nous rapportons une étude observationnelle rétrospective de notre cohorte de patients hémodialysés repliés en secteur COVID de mars 2020 à fin mars 2021 (1 an). Méthodes Nous avons observé dans cette population, l’âge, le sexe, l’ancienneté en dialyse, le type de variant si disponible, les comorbidités principales, la prise d’immunosuppresseurs, l’existence d’une néoplasie active, la présence d’un diabète, d’un terrain vasculaire sévère, d’une pathologie respiratoire, le lieu de vie, les symptômes au moment du diagnostic, la prise en charge et l’évolution. Résultats Sur cette cohorte de 122 patients, l’âge moyen est de 71 ans (médiane 72,5 ans), 11 (9 %) vivaient en EHPAD, l’ancienneté moyenne en dialyse est de 9,5 ans (médiane 6,35 ans). Quatre-vingt-douze ont contracté le virus historique (α), 15 le variant β, 3 le variant γ et 12 n’ont pas été qualifiés. Quatre patients (3 %) étaient sous immunosuppresseurs, 9 (7 %) avaient une néoplasie active dont 2 sont décédés, 58 (47,5 %) étaient diabétiques, 15 (12 %) présentaient une pathologie respiratoire dont 4 sont décédés, 86 (70,5 %) un terrain vasculaire sévère dont 18 sont décédés sur 19 décès au total. L’IMC moyen était de 26,7 (médiane 25,8). Cinq parmi les 22 patients avec troubles cognitifs sont décédés. Soixante (49 %) ont été pris en charge à domicile. Quarante-deux (34,4 %) patients ont été hospitalisés, 20 en réanimation dont 8 sont décédés. Quarante-six (37,5 %) patients ont développé une forme asymptomatique, 25 (20,5 %) une forme modérée, 32 (26 %) une forme sévère et 12 (10 %) une forme grave d’emblée. La mortalité est de 15,5 % (19 patients décédés). Conclusion Dans notre cohorte, la prise d’immunosuppresseurs, les troubles cognitifs, ou l’institutionnalisation ne semblent pas être des facteurs aggravants. En revanche, le terrain vasculaire sévère semble être un élément de gravité.
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Blazquez A, Garcia D, Calvillo P, Vassena R, Rodriguez A. P–079 A spontaneous LH peak before triggering for intrauterine insemination with donor sperm (IUI-D) is associated to lower live birth rates. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Are live birth rates after IUI with donor sperm (IUI-D) and controlled ovarian stimulation comparable between women with a spontaneous LH peak vs those without?
Summary answer
Biochemical, clinical, ongoing pregnancy rates and live birth rates were higher among women without an LH peak.
What is known already
It is common clinical practice to trigger ovulation in IUI cycles once specific criteria are met; if a natural LH surge appears, adjusting the IUI timing may become necessary. Pregnancy rates seem to be slightly better when IUI is scheduled in relation to the presence or absence of an LH peak in non-stimulated cycles. In IUI with stimulated cycles, however, there is no consensus in the medical literature regarding the best moment to program the IUI, due to different inclusion criteria, different IUI timing and definition of LH peak among studies.
Study design, size, duration
Retrospective cohort study of 9,657 IUI-D cycles performed between 2012 and 2019 in one fertility center. IUI-D without LH peak (n = 6,679) versus IUI-D with LH peak (n = 2,978) were compared. Differences in pregnancy outcomes between study groups were evaluated using a Pearson’s Chi2 test. A p < 0.05 was considered statistically significant.
Participants/materials, setting, methods
The definition used to define an LH peak is > 10UI/L in the last follicular control. In cases without an LH peak, when at least one dominant follicle reached 17mm, ovulation was triggered with human chorionic gonadotropin in the following 24h, and IUI-D was performed 38h after triggering. In cases with an LH peak, ovulation was triggered the 6h following the detection, and IUI-D was also performed 38h later.
Main results and the role of chance
The women BMI and age were comparable between groups, with a mean±SD of 35.2±4.8 years old, and 24.3±4.7 for BMI. Other characteristics such as number of previous inseminations, type of stimulation drug, initial dose, total dose, stimulation length and number of follicles > 16mm in the last follicular control were also comparable. As expected, the LH level at the last follicular control was different between groups, with a mean of 5.1UI/L in the no-LH peak and 21.4IU/L in the LH peak group. The group without an LH peak had higher biochemical, clinical, ongoing and live birth rates compared to the group with LH peak: 27.7% vs. 20.7%; 19.5% vs. 15.5%; 17.7% vs. 13.7%; 16.3% vs. 12.6%, respectively (p-value<0.001).
Limitations, reasons for caution
The main limitation of the study is its retrospective nature. Also, a definition of LH peak based in absolute values was used; a definition based in relative values may lead to different results.
Wider implications of the findings: A definition of LH peak based on absolute numbers is imprecise, and the cut-off of 10UI/L does not allow a good scheduling for IUI. A LH peak based on relative values could improve the detection of patients starting ovulation and the accuracy in programming IUI.
Trial registration number
Not applicable
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Affiliation(s)
- A Blazquez
- Clinica Eugin, Medical Department, Barcelona, Spain
| | - D Garcia
- Clinica Eugin, Scientific Department, Barcelona, Spain
| | - P Calvillo
- Clinica Eugin, Medical Department, Barcelona, Spain
| | - R Vassena
- Clinica Eugin, Scientific Department, Barcelona, Spain
| | - A Rodriguez
- Clinica Eugin, Corporate Medical Department, Barcelona, Spain
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Karamtzioti P, Tiscornia G, Garcia D, Rodriguez A, Vernos I, Vassena R. O-171 Altered meiotic spindle morphology and composition in in vitro matured oocytes. Hum Reprod 2021. [DOI: 10.1093/humrep/deab127.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
How does the meiotic spindle tubulin PTMs of MII oocytes matured in vitro compare to that of MII oocytes matured in vivo?
Summary answer
MII cultured in vitro present detyrosinated tubulin in the spindle microtubules, while MII oocytes matured in vivo do not.
What is known already
A functional spindle is required for chromosomal segregation during meiosis, but the role of tubulin post-translational modifications (PTMs) in spindle meiotic dynamics remains poorly characterized. In contrast with GVs matured in vitro within the cumulus oophorous, in vitro maturation of denuded GVs to the MII stage (GV-MII) is associated with spindle abnormalities, chromosome misalignment and compromised developmental potential. Although aneuploidy rates in GV-MII are not higher than in vivo matured MII, disorganized chromosomes may contribute to compromised developmental potential. However, to date, spindle PTMs morphology of GV-MII has not been compared to that of in vivo cultured MII oocytes.
Study design, size, duration
GV (n = 125), and MII oocytes (n = 24) were retrieved from hormonally stimulated women, aged 20 to 35 years old. GVs were matured to the MII stage in vitro in G-2 PLUS medium for 30h; the maturation rate was 68,2%; the 46 GV-MII oocytes obtained were vitrified, stored, and warmed before fixing and subjecting to immunofluorescent analysis. In vivo matured MII oocytes donated to research were used as controls.
Participants/materials, setting, methods
Women were stimulated using a GnRH antagonist protocol, with GnRH agonist trigger. Trigger criterion was ≥2 follicles ≥18mm; oocytes were harvested 36h later. Spindle microtubules were incubated with antibodies against alpha tubulin and tubulin PTMs (acetylation, tyrosination, polyglutamylation, Δ2-tubulin, and detyrosination); chromosomes were stained with Hoechst 33342 and samples subjected to confocal immunofluorescence microscopy (ZEISS LSM780), with ImageJ software analysis. Differences in spindle morphometric parameters were assessed by non-parametric Kruskal–Wallis and Fisher’s exact tests.
Main results and the role of chance
Qualitatively, Δ2-tubulin, tyrosination and polyglutamylation were similar for both groups. Acetylation was also present in both groups, albeit in different patterns: while in vivo matured MII oocytes showed acetylation at the poles, GV-MII showed a symmetrical distribution of signal intensity, but discontinuous signal on individual microtubule tracts, suggesting apparent islands of acetylation. In contrast, detyrosination was detected in in vivo matured MII oocytes but was absent from GV-MII. Regarding spindle pole morphology, of the four possible phenotypes described in the literature (double flattened and double focused; flattened-focused, focused-flattened, with the first word characterizing the cortex side of the spindle), we observed double flat shaped spindle poles in 86% of GV-MII oocytes (25/29) as opposed to 40.5% (15/37) for the in vivo matured MII oocytes (p = 0.0004, Fisher’s exact test). Further morphometric analysis of the spindle size (maximum projection, major and minor axis length) and the metaphase plate position (proximal to distal ratio, angle) revealed decreased spindle size in GV-MII oocytes (p = 0.019, non parametric Kruskal- Wallis test).
Limitations, reasons for caution
Oocytes retrieved from hyperstimulation cycles could be intrinsically impaired since they failed to mature in vivo. Our conclusions should not be extrapolated to IVM in non-stimulated cycles, as in this model, the cumulus oophorus is a major factor in oocyte maturation and correlation with spindle dynamics has been inferred.
Wider implications of the findings
The metaphase II spindle stability compared to the mitotic or metaphase I meiotic one justifies the presence of PTMs such as acetylation and glutamylation, which are found in stable, long-lived microtubules. The significance of the absence of detyrosinated microtubules in the MII-GV group remains to be determined
Trial registration number
not applicable
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Affiliation(s)
| | | | | | | | - I Vernos
- Centre for Genomic Regulation CRG- Barcelona Institute of Science and Technology, Research, Barcelona, Spain
- Institució Catalana de Recerca I Estudis Avançats ICREA, research, Barcelona, Spain
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Åhlén I, Vigouroux G, Destouni G, Pietroń J, Ghajarnia N, Anaya J, Blanco J, Borja S, Chalov S, Chun KP, Clerici N, Desormeaux A, Girard P, Gorelits O, Hansen A, Jaramillo F, Kalantari Z, Labbaci A, Licero-Villanueva L, Livsey J, Maneas G, Pisarello KLM, Pahani DM, Palomino-Ángel S, Price R, Ricaurte-Villota C, Fernanda Ricaurte L, Rivera-Monroy VH, Rodriguez A, Rodriguez E, Salgado J, Sannel B, Seifollahi-Aghmiuni S, Simard M, Sjöberg Y, Terskii P, Thorslund J, Zamora DA, Jarsjö J. Publisher Correction: Hydro-climatic changes of wetlandscapes across the world. Sci Rep 2021; 11:13400. [PMID: 34158573 PMCID: PMC8219735 DOI: 10.1038/s41598-021-92697-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- I Åhlén
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.
| | - G Vigouroux
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - G Destouni
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - J Pietroń
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,WSP Sverige AB, Ullevigatan 19, 411 40, Gothenburg, Sweden
| | - N Ghajarnia
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - J Anaya
- Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, 050026, Medellín, Colombia
| | - J Blanco
- Facultad de Ciencias Exactas Y Naturales, Instituto de Biología, Universidad de Antioquia, Calle 70 No. 52-21, 050010, Medellín, Colombia
| | - S Borja
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Chalov
- Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia, 119991
| | - K P Chun
- Department of Geography, Hong Kong Baptist University, SAR, Hong Kong, China
| | - N Clerici
- Department of Biology, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, 13409, Bogotá, DC, Colombia
| | - A Desormeaux
- School of Natural Resources and Environment, University of Florida, Gainesville, FL, 32603, USA
| | - P Girard
- Centro de Pesquisa do Pantanal and BioScience Institute, Federal University of Mato Grosso, Cuiabá, Mato Grosso, Brazil
| | - O Gorelits
- Zubov State Oceanographic Institute, Moscow, 119034, Russia
| | - A Hansen
- Department of Civil, Environmental and Architectural Engineering, University of Kansas, Lawrence, KS, 66045, USA
| | - F Jaramillo
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Baltic Sea Centre, 10691, Stockholm, Sweden
| | - Z Kalantari
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - A Labbaci
- Department of Geology, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco
| | - L Licero-Villanueva
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - J Livsey
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - G Maneas
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Navarino Environmental Observatory, 24 001, Messinia, Greece
| | - K L McCurley Pisarello
- Department of Soil and Water Sciences, University of Florida, Gainesville, FL, 32611, USA
| | - D Moshir Pahani
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Palomino-Ángel
- Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, 050026, Medellín, Colombia.,Facultad de Ingeniería, Universidad de San Buenaventura, Carrera 56C N° 51-110, 050010, Medellín, Colombia
| | - R Price
- Department of Earth and Environment, Southeast Environmental Research Center, Florida International University, Miami, FL, 33199, USA
| | - C Ricaurte-Villota
- Instituto de investigaciones marinas y costeras de Colombia "José Benito Vives de Andreis"- INVEMAR, 470006, Santa Marta, Colombia
| | - L Fernanda Ricaurte
- Alexander von Humboldt Biological Resources Research Institute, Calle 28 A No. 15-09, 70803, Bogotá, DC, Colombia
| | - V H Rivera-Monroy
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - A Rodriguez
- Instituto de investigaciones marinas y costeras de Colombia "José Benito Vives de Andreis"- INVEMAR, 470006, Santa Marta, Colombia
| | - E Rodriguez
- Civil and Agricultural Engineering Department, Universidad Nacional de Colombia, 11001, Bogotá, Colombia
| | - J Salgado
- Departamento de Ciencias Biológicas, Universidad de Los Andes, Cra. 1 No. 18A-12, 111711, Bogotá, Colombia.,Facultad de Ingeniería, Universidad Católica de Colombia, Av. Caracas No. 46-72, 111311, Bogotá, Colombia
| | - B Sannel
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Seifollahi-Aghmiuni
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - M Simard
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Y Sjöberg
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - P Terskii
- Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia, 119991
| | - J Thorslund
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
| | - D A Zamora
- Civil and Agricultural Engineering Department, Universidad Nacional de Colombia, 11001, Bogotá, Colombia
| | - J Jarsjö
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
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Cornet-Bartolomé D, Rodriguez A, García D, Barragán M, Vassena R. Efficiency and efficacy of vitrification in 35 654 sibling oocytes from donation cycles. Hum Reprod 2021; 35:2262-2271. [PMID: 32856058 DOI: 10.1093/humrep/deaa178] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 05/06/2020] [Indexed: 12/20/2022] Open
Abstract
STUDY QUESTION Is oocyte vitrification/warming as efficient and effective as using fresh oocytes in donation cycles? SUMMARY ANSWER IVF with vitrified donor oocytes is less efficient than using fresh oocytes, but its efficacy remains comparable to that of fresh cycles. WHAT IS KNOWN ALREADY Oocyte vitrification is used to preserve the reproductive potential of oocytes. A small number of randomized controlled trials carried out by experienced groups have shown that this technique provides fertilization, pregnancy, implantation and ongoing pregnancy rates comparable to those of fresh oocytes. However, large registry-based analyses have consistently reported lower live birth rates (LBRs) in cycles using vitrified oocytes. It is not clear whether this decrease may be due to the effect of vitrification per se on the oocytes or to the lower efficiency of the technique, as some of the oocytes do not survive after warming. STUDY DESIGN, SIZE, DURATION Retrospective cohort analysis of 1844 cycles of oocyte donation (37 520 oocytes), each donor in the study provided enough oocytes for at least one reception cycle with fresh oocytes (2561 cycles) and one reception cycle with vitrified oocytes (2471 cycles) from the same ovarian stimulation (sibling oocytes). Overall, 35 654 oocytes were considered in the analysis. All embryo transfers (n = 5032) were carried out between 2011 and 2017. PARTICIPANTS/MATERIALS, SETTING, METHODS Differences in reproductive outcomes after the first embryo transfer were evaluated using Pearson's Chi-squared test and regression analysis adjusted for recipient's age, BMI, sperm origin and state, day of embryo transfer, morphological score and number of transferred embryos. We performed two additional sub-analyses, to test whether the efficiency and/or effectiveness of vitrification/warming impacts reproductive results. One analysis included paired cycles where the same number of fresh and vitrified oocytes were available for ICSI (SAME sub-analysis), while the second analysis included those cycles with a 100% survival rate post-warming (SAME100 sub-analysis). MAIN RESULTS AND THE ROLE OF CHANCE Baseline and cycle characteristics of participants were comparable between groups. Overall, fertilization rates and embryo morphological scores were significantly lower (P < 0.001) when using vitrified oocytes; moreover, vitrified oocytes also resulted in lower reproductive outcomes than sibling fresh oocytes using both unadjusted and adjusted analyses: ongoing pregnancy (32.1% versus 37.5%; P < 0.001; OR 0.88, 95% CI 0.77, 1.00) and live birth (32.1% versus 31.9%; P = 0.92; OR 1.16, 95% CI 0.90, 1.49). However, when the efficiency of warming was taken into account, reproductive outcomes in recipients became comparable: ongoing pregnancy (33.5% versus 34.1%; P = 0.82; OR 1.11, 95% CI 0.87, 1.43) and LBR (32.1% versus 32%; P = 0.97; OR 1.15, 95% CI 0.89, 1.48). Moreover, after selecting only cycles that, in addition to having the same number of oocytes available for ICSI, also had 100% post-warming survival rate in the vitrified group, reproductive outcomes were also comparable between fresh and vitrified oocytes: ongoing pregnancy (34.8% versus 32.4%; P = 0.42; OR 1.32, 95% CI 0.98, 1.77) and live birth (32.9% versus 31.0%; P = 0.52; OR 1.27, 95% CI 0.95, 1.71), indicating that reproductive outcomes of these cycles are affected by the efficiency of the vitrification/warming technique performed rather than the oocyte damage due to the fast cooling process to which oocytes are subjected. LIMITATIONS, REASONS FOR CAUTION An open vitrification system was used for all cases, and oocyte vitrification/warming was performed by experienced embryologists with consistently high survival rates; caution must be exerted when extrapolating our results to data obtained using other open vitrification systems, closed vitrification systems or to IVF units with survival rates <90%. WIDER IMPLICATIONS OF THE FINDINGS This is the largest cohort study comparing reproductive outcomes of vitrified and fresh sibling donor oocytes to date. We found that, when the number of oocytes available after warming is equal to the number of fresh oocytes, reproductive results including live birth are comparable. Consequently, the efficiency of vitrification must be taken into account to achieve the same reproductive outcomes as with fresh oocytes. We recommend implementing strict indicators of vitrification/warming efficiency in clinics and refining vitrification/warming protocols to maximize survival. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by intramural funding of Clínica EUGIN and by the Secretary for Universities and Research of the Ministry of Economy and Knowledge of the Government of Catalonia (GENCAT 2015 DI 048). The authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- D Cornet-Bartolomé
- Clinica EUGIN, Barcelona, Spain.,Department of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, Spain
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Bouland C, Albert N, Boutremans E, Rodriguez A, Loeb I, Dequanter D, Javadian R. Risk factors assessment in fibular free flap mandibular reconstruction. ANN CHIR PLAST ESTH 2021; 66:351-356. [PMID: 33810915 DOI: 10.1016/j.anplas.2021.03.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 02/17/2021] [Accepted: 03/08/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION The fibular free flap (FFF) is the best choice method for mandibular reconstruction. However, the failure and the complications risk factors (RF) are not yet fully identified. This study aims to analyze these RF in order to improve the success rate. MATERIAL This retrospective study includes all patients who benefited from a FFF mandibular reconstruction between the first of January, 2014 and the thirty-first of December, 2018 in the Department of Stomatology and Maxillofacial Surgery department of the CHU Saint-Pierre Hospital, Brussels, Belgium. RESULTS Thirty patients benefited from this intervention. The overall success rate was 90%. Majority of the patients were men (67%) (mean age: 52 years). The main associated co-morbidities were: alcohol (50%), tobacco consumption (67%) and previous radiotherapy (20%). The mean operative time was 9,5hours. The morbidities rates at the receiving site (RS) and the donor site (DS) were respectively 43% and 30%. Infection and dehiscence of the RS were the main complications. Statistical analysis identified RF for RS infections: atherosclerosis and operative time; RS dehiscence (previous cervical dissection and secondary reconstruction); flap necrosis (ischemia time, rate of infection at the recipient site, history of radiation therapy, alcohol consumption, National Nosocomial Infection Surveillance score (NNISS), and history of cervical dissection); and DS morbidities (NNISS and dehiscence rate at the DS in the early period). CONCLUSION The FFF mandibular reconstruction offers a significant success rate. Nevertheless, this study highlighted several failure and complications RF of the procedure. Previous neck dissection and radiotherapy, operative and the ischemia time, were RF associated with complication at the RS. Furthermore, the NNIS score and the dehiscence rate were also reported as RF for FFF necrosis.
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Affiliation(s)
- C Bouland
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - N Albert
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - E Boutremans
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - A Rodriguez
- Department of Otolaryngology-Head & Neck surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - I Loeb
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - D Dequanter
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium.
| | - R Javadian
- Department of Stomatology-Maxillofacial surgery, CHU Saint Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium
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Åhlén I, Vigouroux G, Destouni G, Pietroń J, Ghajarnia N, Anaya J, Blanco J, Borja S, Chalov S, Chun KP, Clerici N, Desormeaux A, Girard P, Gorelits O, Hansen A, Jaramillo F, Kalantari Z, Labbaci A, Licero-Villanueva L, Livsey J, Maneas G, Pisarello KLM, Pahani DM, Palomino-Ángel S, Price R, Ricaurte-Villota C, Fernanda Ricaurte L, Rivera-Monroy VH, Rodriguez A, Rodriguez E, Salgado J, Sannel B, Seifollahi-Aghmiuni S, Simard M, Sjöberg Y, Terskii P, Thorslund J, Zamora DA, Jarsjö J. Hydro-climatic changes of wetlandscapes across the world. Sci Rep 2021; 11:2754. [PMID: 33531523 PMCID: PMC7854620 DOI: 10.1038/s41598-021-81137-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 12/22/2020] [Indexed: 11/09/2022] Open
Abstract
Assessments of ecosystem service and function losses of wetlandscapes (i.e., wetlands and their hydrological catchments) suffer from knowledge gaps regarding impacts of ongoing hydro-climatic change. This study investigates hydro-climatic changes during 1976-2015 in 25 wetlandscapes distributed across the world's tropical, arid, temperate and cold climate zones. Results show that the wetlandscapes were subject to precipitation (P) and temperature (T) changes consistent with mean changes over the world's land area. However, arid and cold wetlandscapes experienced higher T increases than their respective climate zone. Also, average P decreased in arid and cold wetlandscapes, contrarily to P of arid and cold climate zones, suggesting that these wetlandscapes are located in regions of elevated climate pressures. For most wetlandscapes with available runoff (R) data, the decreases were larger in R than in P, which was attributed to aggravation of climate change impacts by enhanced evapotranspiration losses, e.g. caused by land-use changes.
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Affiliation(s)
- I Åhlén
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.
| | - G Vigouroux
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - G Destouni
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - J Pietroń
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,WSP Sverige AB, Ullevigatan 19, 411 40, Gothenburg, Sweden
| | - N Ghajarnia
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - J Anaya
- Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, 050026, Medellín, Colombia
| | - J Blanco
- Facultad de Ciencias Exactas y Naturales, Instituto de Biología, Universidad de Antioquia, Calle 70 No. 52-21, 050010, Medellín, Colombia
| | - S Borja
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Chalov
- Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia, 119991
| | - K P Chun
- Department of Geography, Hong Kong Baptist University, Hong Kong, SAR, China
| | - N Clerici
- Department of Biology, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, 13409, Bogotá, DC, Colombia
| | - A Desormeaux
- School of Natural Resources and Environment, University of Florida, Gainesville, FL, 32603, USA
| | - P Girard
- Centro de Pesquisa do Pantanal and BioScience Institute, Federal University of Mato Grosso, Cuiabá, Mato Grosso, Brazil
| | - O Gorelits
- Zubov State Oceanographic Institute, Moscow, 119034, Russia
| | - A Hansen
- Department of Civil, Environmental and Architectural Engineering, University of Kansas, Lawrence, KS, 66045, USA
| | - F Jaramillo
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Baltic Sea Centre, 10691, Stockholm, Sweden
| | - Z Kalantari
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - A Labbaci
- Department of Geology, Faculty of Sciences, Ibn Zohr University, Agadir, Morocco
| | - L Licero-Villanueva
- Institute of Botany and Landscape Ecology, University of Greifswald, 17489, Greifswald, Germany
| | - J Livsey
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - G Maneas
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Navarino Environmental Observatory, 24 001, Messinia, Greece
| | - K L McCurley Pisarello
- Department of Soil and Water Sciences, University of Florida, Gainesville, FL, 32611, USA
| | - D Moshir Pahani
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Palomino-Ángel
- Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, 050026, Medellín, Colombia.,Facultad de Ingeniería, Universidad de San Buenaventura, Carrera 56C N° 51-110, 050010, Medellín, Colombia
| | - R Price
- Department of Earth and Environment, Southeast Environmental Research Center, Florida International University, Miami, FL, 33199, USA
| | - C Ricaurte-Villota
- Instituto de investigaciones marinas y costeras de Colombia "José Benito Vives de Andreis"-INVEMAR, 470006, Santa Marta, Colombia
| | - L Fernanda Ricaurte
- Alexander von Humboldt Biological Resources Research Institute, Calle 28 A No. 15-09, Bogotá, DC, 70803, Colombia
| | - V H Rivera-Monroy
- Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA, 70803, USA
| | - A Rodriguez
- Instituto de investigaciones marinas y costeras de Colombia "José Benito Vives de Andreis"-INVEMAR, 470006, Santa Marta, Colombia
| | - E Rodriguez
- Civil and Agricultural Engineering Department, Universidad Nacional de Colombia, 11001, Bogotá, Colombia
| | - J Salgado
- Departamento de Ciencias Biológicas, Universidad de Los Andes, Cra. 1 No. 18A-12, 111711, Bogotá, Colombia.,Facultad de Ingeniería, Universidad Católica de Colombia, Av. Caracas No. 46-72, 111311, Bogotá, Colombia
| | - B Sannel
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - S Seifollahi-Aghmiuni
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
| | - M Simard
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Y Sjöberg
- Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
| | - P Terskii
- Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia, 119991
| | - J Thorslund
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden.,Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
| | - D A Zamora
- Civil and Agricultural Engineering Department, Universidad Nacional de Colombia, 11001, Bogotá, Colombia
| | - J Jarsjö
- Department of Physical Geography and Bolin Center for Climate Research, Stockholm University, 10691, Stockholm, Sweden
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Barragan M, Guillén JJ, Martin-Palomino N, Rodriguez A, Vassena R. Undetectable viral RNA in oocytes from SARS-CoV-2 positive women. Hum Reprod 2021; 36:390-394. [PMID: 32998162 PMCID: PMC7543480 DOI: 10.1093/humrep/deaa284] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 09/22/2020] [Indexed: 01/05/2023] Open
Abstract
A central concern for the safe provision of ART during the current coronavirus disease 2019 (CODIV-19) pandemic is the possibility of vertical transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection through gametes and preimplantation embryos. Unfortunately, data on SARS-CoV-2 viral presence in oocytes of infected individuals are not available to date. We describe the case of two women who underwent controlled ovarian stimulation and tested positive to SARS-CoV-2 infection by PCR on the day of oocyte collection. The viral RNA for gene N was undetectable in all the oocytes analyzed from the two women.
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Affiliation(s)
- M Barragan
- Clinica EUGIN, Carrer de Balmes 236, Barcelona 08006, Spain
| | - J J Guillén
- Clinica EUGIN, Carrer de Balmes 236, Barcelona 08006, Spain
| | | | - A Rodriguez
- Clinica EUGIN, Carrer de Balmes 236, Barcelona 08006, Spain
| | - R Vassena
- Clinica EUGIN, Carrer de Balmes 236, Barcelona 08006, Spain
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Rodriguez A, Priya P, Ortiz O, Senellart P, Gomez-Carbonell C, Lemaître A, Esmann M, Lanzillotti-Kimura ND. Fiber-based angular filtering for high-resolution Brillouin spectroscopy in the 20-300 GHz frequency range. Opt Express 2021; 29:2637-2646. [PMID: 33726455 DOI: 10.1364/oe.415228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/29/2020] [Indexed: 06/12/2023]
Abstract
Brillouin spectroscopy emerges as a promising non-invasive tool for nanoscale imaging and sensing. One-dimensional semiconductor superlattice structures are eminently used for selectively enhancing the generation or detection of phonons at few GHz. While commercially available Brillouin spectrometers provide high-resolution spectra, they consist of complex experimental techniques and are not suitable for semiconductor cavities operating at a wide range of optical wavelengths. We develop a pragmatic experimental approach for conventional Brillouin spectroscopy that can integrate a widely tunable excitation-source. Our setup combines a fibered-based angular filtering and a spectral filtering based on a rotating single etalon and a double grating spectrometer for sequential reconstruction of Brillouin spectra. This configuration allows probing confined acoustic phonon modes in the 20-300 GHz frequency range with excellent laser rejection and high spectral resolution. Remarkably, our scheme based on the excitation and collection of the enhanced Brillouin scattering signals through the optical cavity allows for better angular filtering with decreasing phonon frequency. It can be implemented for the study of cavity optomechanics and stimulated Brillouin scattering over broadband optical and acoustic frequency ranges.
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49
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Fazeli N, Oller M, Wu J, Wu Z, Tenenbaum JB, Rodriguez A. See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion. Sci Robot 2021; 4:4/26/eaav3123. [PMID: 33137764 DOI: 10.1126/scirobotics.aav3123] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 01/04/2019] [Indexed: 11/02/2022]
Abstract
Humans are able to seamlessly integrate tactile and visual stimuli with their intuitions to explore and execute complex manipulation skills. They not only see but also feel their actions. Most current robotic learning methodologies exploit recent progress in computer vision and deep learning to acquire data-hungry pixel-to-action policies. These methodologies do not exploit intuitive latent structure in physics or tactile signatures. Tactile reasoning is omnipresent in the animal kingdom, yet it is underdeveloped in robotic manipulation. Tactile stimuli are only acquired through invasive interaction, and interpretation of the data stream together with visual stimuli is challenging. Here, we propose a methodology to emulate hierarchical reasoning and multisensory fusion in a robot that learns to play Jenga, a complex game that requires physical interaction to be played effectively. The game mechanics were formulated as a generative process using a temporal hierarchical Bayesian model, with representations for both behavioral archetypes and noisy block states. This model captured descriptive latent structures, and the robot learned probabilistic models of these relationships in force and visual domains through a short exploration phase. Once learned, the robot used this representation to infer block behavior patterns and states as it played the game. Using its inferred beliefs, the robot adjusted its behavior with respect to both its current actions and its game strategy, similar to the way humans play the game. We evaluated the performance of the approach against three standard baselines and show its fidelity on a real-world implementation of the game.
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Affiliation(s)
- N Fazeli
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - M Oller
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Z Wu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J B Tenenbaum
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - A Rodriguez
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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50
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Pelucchi M, Namysl S, Ranzi E, Rodriguez A, Rizzo C, Somers KP, Zhang Y, Herbinet O, Curran HJ, Battin-Leclerc F, Faravelli T. Combustion of n-C 3-C 6 Linear Alcohols: An Experimental and Kinetic Modeling Study. Part I: Reaction Classes, Rate Rules, Model Lumping, and Validation. Energy Fuels 2020; 34:14688-14707. [PMID: 33250570 PMCID: PMC7685228 DOI: 10.1021/acs.energyfuels.0c02251] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/02/2020] [Indexed: 06/12/2023]
Abstract
This work (and the companion paper, Part II) presents new experimental data for the combustion of n-C3-C6 alcohols (n-propanol, n-butanol, n-pentanol, n-hexanol) and a lumped kinetic model to describe their pyrolysis and oxidation. The kinetic subsets for alcohol pyrolysis and oxidation from the CRECK kinetic model have been systematically updated to describe the pyrolysis and high- and low-temperature oxidation of this series of fuels. Using the reaction class approach, the reference kinetic parameters have been determined based on experimental, theoretical, and kinetic modeling studies previously reported in the literature, providing a consistent set of rate rules that allow easy extension and good predictive capability. The modeling approach is based on the assumption of an alkane-like and alcohol-specific moiety for the alcohol fuel molecules. A thorough review and discussion of the information available in the literature supports the selection of the kinetic parameters that are then applied to the n-C3-C6 alcohol series and extended for further proof to describe n-octanol oxidation. Because of space limitations, the large amount of information, and the comprehensive character of this study, the manuscript has been divided into two parts. Part I describes the kinetic model as well as the lumping techniques and provides a synoptic synthesis of its wide range validation made possible also by newly obtained experimental data. These include speciation measurements performed in a jet-stirred reactor (p = 107 kPa, T = 550-1100 K, φ = 0.5, 1.0, 2.0) for n-butanol, n-pentanol, and n-hexanol and ignition delay times of ethanol, n-propanol, n-butanol, n-pentanol/air mixtures measured in a rapid compression machine at φ = 1.0, p = 10 and 30 bar, and T = 704-935 K. These data are presented and discussed in detail in Part II, together with detailed comparisons with model predictions and a deep kinetic discussion. This work provides new experimental targets that are useful for kinetic model development and validation (Part II), as well as an extensively validated kinetic model (Part I), which also contains subsets of other reference components for real fuels, thus allowing the assessment of combustion properties of new sustainable fuels and fuel mixtures.
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Affiliation(s)
- M. Pelucchi
- CRECK
Modeling Lab, Department of Chemistry Materials and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy
| | - S. Namysl
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, Nancy Cedex, France
| | - E. Ranzi
- CRECK
Modeling Lab, Department of Chemistry Materials and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy
| | - A. Rodriguez
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, Nancy Cedex, France
| | - C. Rizzo
- CRECK
Modeling Lab, Department of Chemistry Materials and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy
| | - K. P. Somers
- Combustion
Chemistry Centre, National University of
Ireland Galway, Galway, Ireland
| | - Y. Zhang
- State
Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - O. Herbinet
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, Nancy Cedex, France
| | - H. J. Curran
- Combustion
Chemistry Centre, National University of
Ireland Galway, Galway, Ireland
| | - F. Battin-Leclerc
- Laboratoire
Réactions et Génie des Procédés, CNRS, Université de Lorraine, ENSIC, Nancy Cedex, France
| | - T. Faravelli
- CRECK
Modeling Lab, Department of Chemistry Materials and Chemical Engineering, Politecnico di Milano, 20133 Milano, Italy
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