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Lee J, Yoon S, Shih B, Jung W, Hwang Y, Jeon J, Cho S, Kim K, Jheon S. EP16.03-034 Differential Prognostic Effect of EGFR Mutation According to Smoking Status and Pathologic Stage in Non-mucinous Lung Adenocarcinoma. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.1095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Nam K, Kim M, Hur S, Kim K, Cho Y, Kim K, Kim H, Lim KM. P20-10 A new murine liver fibrosis model induced by polyhexamethylene guanidine-phosphate. Toxicol Lett 2022. [DOI: 10.1016/j.toxlet.2022.07.676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO-Virgo data. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.042003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Albanesi S, Allocca A, Altin PA, Amato A, Anand C, Anand S, Ananyeva A, Anderson SB, Anderson WG, Andrade T, Andres N, Andrić T, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ashton G, Assiduo M, Aston SM, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader MKM, Badger C, Bae S, Baer AM, Bagnasco S, Bai Y, Baird J, Ball M, Ballardin G, Ballmer SW, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Beveridge D, Bhandare R, Bhardwaj U, Bhattacharjee D, Bhaumik S, Bilenko IA, Billingsley G, Bini S, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bonavena LD, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer RL, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan JD, Callister TA, Calloni E, Cameron J, Camp JB, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon KC, Cao H, Capote E, Carapella G, Carbognani F, Carlin JB, 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Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy PK, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Meijer Q, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Middleton H, Milano L, Miller A, Miller AL, Miller B, Millhouse M, Mills JC, Milotti E, Minazzoli O, Minenkov Y, Mir LM, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moguel E, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Muusse S, Nadji SL, Nagar A, Napolano V, Nardecchia I, Naticchioni L, Nayak B, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neubauer P, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nichols SA, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nuttall LK, Oberling J, O'Brien BD, O'Dell J, Oelker E, Oganesyan G, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Olivetto C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Ossokine S, Osthelder C, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Panther FH, Paoletti F, Paoli A, Paolone A, Park H, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron AS, Paul S, Payne E, Pedraza M, Pegoraro M, Pele A, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perkins CC, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto IM, Pinto M, Piotrzkowski K, Pirello M, Pitkin MD, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ray A, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reid SW, Reitze DH, Relton P, Renzini A, Rettegno P, Rezac M, Ricci F, Richards D, Richardson JW, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins JG, Romanelli M, Romano R, Romel CL, Romero-Rodríguez A, Romero-Shaw IM, Romie JH, Ronchini S, Rosa L, Rose CA, Rosińska D, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sathyaprakash BS, Sauter O, Savage RL, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Sellers D, Sengupta AS, Sentenac D, Seo EG, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shikauchi M, Shoemaker DH, Shoemaker DM, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Soldateschi J, Somala SN, Son EJ, Soni K, Soni S, Sordini V, Sorrentino F, Sorrentino N, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srinivasan R, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stevenson S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Sudhagar S, Sudhir V, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tait SC, Talbot CJ, Talbot C, Tanasijczuk AJ, Tanner DB, Tao D, Tao L, Martín ENTS, Taranto C, Tasson JD, Tenorio R, Terhune JE, Terkowski L, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toivonen AM, Toland K, Tolley AE, Tonelli M, Torres-Forné A, Torrie CI, E Melo IT, Töyrä D, Trapananti A, Travasso F, Traylor G, Trevor M, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Turbang K, Turconi M, Ubhi AS, Udall RP, Ueno K, Unnikrishnan CS, Urban AL, Utina A, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, Vanosky J, van Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venneberg J, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets AD, Vijaykumar A, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis ERG, von Wrangel JSA, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washington NY, Watchi J, Weaver B, Webster SA, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wu DS, Wysocki DM, Xiao L, Yamamoto H, Yang FW, Yang L, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yoo J, Yu H, Yu H, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Zhao Y, Zhou R, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Jeong D, Shandera S. Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. PHYSICAL REVIEW LETTERS 2022; 129:061104. [PMID: 36018635 DOI: 10.1103/physrevlett.129.061104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/18/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 M_{⊙} and 1.0 M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200] Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2 M_{⊙}<m_{PBH}<1.0 M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1 M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.
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Park B, Kim Y, Seo J, Kim K. Effectiveness of parylene coating on CdZnTe surface after optimal passivation. NUCLEAR ENGINEERING AND TECHNOLOGY 2022. [DOI: 10.1016/j.net.2022.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Park M, Jang S, Chung J, Kim K, Kwon O, Jo S. 702 Inhibition of class I HDACs preserves hair follicle inductivity in postnatal dermal cells. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Ko JW, Kim MJ, Choi YU, Shim H, Chung H, Jang JY, Bae KS, Kim K. Determination of Risk Factors for Predicting Bladder-Urethra Injury in Cases of Pelvic Bone Fracture: A Retrospective Single Center Study. JOURNAL OF ACUTE CARE SURGERY 2022. [DOI: 10.17479/jacs.2022.12.2.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Purpose: Pelvis fractures are associated with bladder and urethral injury (BUI). The purpose of this study was to identify risk factors associated with BUI in patients with pelvic fracture.Methods: Patients (> 18 years) with pelvic injury (<i>N</i> = 314) at our hospital between January 2015 and June 2020 were retrospectively analyzed for age, sex, cause of injury, initial vital signs, urine red blood cell (RBC) count, Glasgow Coma Scale and Abbreviated Injury Scale score, Injury Severity Score, preperitoneal pelvic packing, and femur, lumbar spine, and pelvic fractures.Results: Compared with the BUI-absent group, the BUI-present group had a greater percentage of patients who were male (79.2% vs. 55.9%; <i>p</i> = 0.026), had a urine RBC count/high power field (HPF) ≥ 30 (94.4% vs. 38.8%; <i>p</i> < 0.001), underwent preperitoneal pelvic packing (37.5% vs. 18.6%; <i>p</i> = 0.035), had symphysis pubis diastasis (33.3% vs. 11.7%; <i>p</i> = 0.008), and had sacroiliac joint dislocation (54.2% vs. 23.4%; <i>p</i> = 0.001). Independent risk factors associated with BUI were symphysis pubis diastasis [odds ratio (OR) was 3.958 (95% confidence interval: 1.191–13.154); <i>p</i> = 0.025] and a urine RBC count/HPF ≥ 30 [OR = 25.415 (95% confidence interval: 3.252–198.637); <i>p</i> = 0.006]. Of those with BUI, 15 patients were diagnosed at the trauma bay, and 9 had a delayed diagnosis.Conclusion: Patients with pelvic injury who display symphysis pubis diastasis or have a urine RBC count/ HPF ≥ 30 are at higher risk of BUI, therefore, further BUI investigations should be considered.
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Kim K, Kang S, Jung SJ. Antidepressant medication and risk of cardiovascular disease in posttraumatic stress disorder patients: application of marginal structural models in Korean National Health Insurance Database. Eur J Cardiovasc Nurs 2022. [DOI: 10.1093/eurjcn/zvac060.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: Foundation. Main funding source(s): - National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT
Introduction
Previous evidence on antidepressant medication and cardiovascular disease (CVD) in posttraumatic stress disorder (PTSD) patients is mixed. We evaluated associations between antidepressant medication and CVD by applying marginal structural model.
Methods
We gathered medical utilization records of 27,170 patients diagnosed with PTSD in years 2004 - 2018 without prior CVD diagnosis from Korean National Health Insurance Database (NHID). PTSD and CVD were characterized in correspondence of ICD-10 diagnostic codes. We acquired information on antidepressant use from medical utilization records and categorized by medication category: selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs) and tricyclic antidepressants (TCAs). Discrete-time survival analysis with marginal structural inverse probability weighting was used to test association between antidepressants and CVDs and were compared to results from traditional time-fixed model and simple time-varying model. We calculated cumulative daily defined doses (DDDs) of each antidepressant categories and conducted polynomial splining to test dose response.
Results
SSRI use was associated with acute coronary syndrome (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.26 - 1.86) and ischemic stroke (HR 1.33, 95% CI 1.08 - 1.63). SNRI use was associated with acute coronary syndrome (HR 1.52, 95% CI 1.09 - 2.12). TCA use was associated with acute coronary syndrome (HR 1.54, 1.21 - 1.96) and ischemic stroke (HR 1.34, 1.06 - 1.70). Polynomial spline showed positive dose-response in association between antidepressant use and CVD.
Conclusion
Antidepressant use is causally associated with CVD in patients with PTSD. Higher cumulative DDD of antidepressant increases the risk of CVD.
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Burris N, Nguyen C, Deeb G, Yang B, Patel H, Kim K, Fukuhara S. 447 Early Experience With Ct Evaluation Of Valve Incorporation Prior To Tavr Explant. J Cardiovasc Comput Tomogr 2022. [DOI: 10.1016/j.jcct.2022.06.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Kim H, Kim K, Kim YH. Associations between mental illness and cancer: a systematic review and meta-analysis of observational studies. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2022; 26:4997-5007. [PMID: 35916796 DOI: 10.26355/eurrev_202207_29286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Considering the impact of mental illness and cancer on the society, the relationship between the two diseases should be assessed. This study aimed at determining the association between mental illness and cancer. MATERIALS AND METHODS The Embase and Medline databases were searched on October 21, 2020. Cohort, case-control, and cross-sectional studies were eligible for study inclusion. The Newcastle-Ottawa scale was used to qualitatively assess the risk of bias. Funnel plots were drawn to evaluate the risks of bias across the included studies. RESULTS We included 58 studies from 16 countries, incorporating approximately 30 national databases and 25 million individuals. Patients with psychiatric disorders did not show an increased risk of developing cancer. However, patients with cancer had a significantly increased risk of developing mental illness. The survival rates of patients with mental illness according to cancer occurrence and patients with cancer according to mental illness occurrence were significantly decreased. CONCLUSIONS Clinicians should conduct early screening to ensure that appropriate interventions for mental illness are administered in patients with cancer. Due to the high incidence of death in patients with mental illnesses due to unnatural causes, such as suicide, homicide, and accidents, clinicians should be aware of the importance of the treatment and management of these patients.
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Park S, You YA, Kim YH, Kwon E, Ansari A, Kim SM, Lee G, Hur YM, Jung YJ, Kim K, Kim YJ. Ureaplasma and Prevotella colonization with Lactobacillus abundance during pregnancy facilitates term birth. Sci Rep 2022; 12:10148. [PMID: 35710793 PMCID: PMC9203766 DOI: 10.1038/s41598-022-13871-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Ureaplasma and Prevotella infections are well-known bacteria associated with preterm birth. However, with the development of metagenome sequencing techniques, it has been found that not all Ureaplasma and Prevotella colonizations cause preterm birth. The purpose of this study was to determine the association between Ureaplasma and Prevotella colonization with the induction of preterm birth even in the presence of Lactobacillus. In this matched case–control study, a total of 203 pregnant Korean women were selected and their cervicovaginal fluid samples were collected during mid-pregnancy. The microbiome profiles of the cervicovaginal fluid were analyzed using 16S rRNA gene amplification. Sequencing data were processed using QIIME1.9.1. Statistical analyses were performed using R software, and microbiome analysis was performed using the MicrobiomeAnalyst and Calypso software. A positive correlation between Ureaplasma and other genera was highly related to preterm birth, but interestingly, there was a negative correlation with Lactobacillus and term birth, with the same pattern observed with Prevotella. Ureaplasma and Prevotella colonization with Lactobacillus abundance during pregnancy facilitates term birth, although Ureaplasma and Prevotella are associated with preterm birth. Balanced colonization between Lactobacillus and Ureaplasma and Prevotella is important to prevent preterm birth.
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Remortel N, Vardaro M, Vargas A, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venneberg J, Bradaschia C, Venugopalan G, Verkindt D, Verma P, Verma Y, Veske D, Vetrano F, Viceré A, Vidyant S, Viets A, Vijaykumar A, Brady P, Villa-Ortega V, Vinet JY, Virtuoso A, Vitale S, Vo T, Vocca H, von Reis E, von Wrangel J, Vorvick C, Vyatchanin S, Bramley A, Wade L, Wade M, Wagner K, Walet R, Walker M, Wallace G, Wallace L, Walsh S, Wang J, Wang J, Branch A, Wang W, Ward R, Warner J, Was M, Washimi T, Washington N, Watchi J, Weaver B, Webster S, Weinert M, Branchesi M, Weinstein A, Weiss R, Weller C, Wellmann F, Wen L, Weßels P, Wette K, Whelan J, White D, Whiting B, Brau J, Whittle C, Wilken D, Williams D, Williams M, Williamson A, Willis J, Willke B, Wilson D, Winkler W, Wipf C, Breschi M, Wlodarczyk T, Woan G, Woehler J, Wofford J, Wong I, Wu C, Wu D, Wu H, Wu S, Wysocki D, Briant T, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang F, Briggs J, Yang L, Yang Y, Yang Y, Yang Z, Yap M, Yeeles D, Yelikar A, Ying M, Yokogawa K, Yokoyama J, Brillet A, Yokozawa T, Yoo J, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Brinkmann M, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Brockill P, Zhao Y, Zhao Y, Zhou R, Zhou Z, Zhu X, Zhu ZH, Zucker M, Zweizig J, Brooks A, Brooks J, Brown D, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten H, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer R, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan J, Callister T, Calloni E, Cameron J, Camp J, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon K, Cao H, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin J, Carney M, Carpinelli M, Carrillo G, Carullo G, Carver T, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Ceasar M, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan C, Chan K, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chen C, Chen H, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong C, Cheung H, Chia H, Chiadini F, Chiang CY, Chiarini G, Chierici R, Chincarini A, Chiofalo M, Chiummo A, Cho G, Cho H, Choudhary R, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung K, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark E, Clark J, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen D, Cohen L, Colleoni M, Collette C, Colombo A, Colpi M, Compton C, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corezzi S, Corley K, Cornish N, Corre D, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coulon JP, Countryman S, Cousins B, Couvares P, Coward D, Cowart M, Coyne D, Coyne R, 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PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Ewing B, Fafone V, Fair H, Fairhurst S, Farah A, Farinon S, Farr B, Farr W, Farrow N, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Frederick C, Freed J, Frei Z, Freise A, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard H, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, 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Johns G, Jones A, Jones D, Jones J, Jones P, Jones R, Jonker R, Ju L, Jung P, Jung K, Junker J, Juste V, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi C, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner J, Kao Y, Kapadia S, Kapasi D, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key J, Khadka S, Khalili F, Khan S, Khazanov E, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim J, Kim J, Kim K, Kim W, Kim YM, Kimball C, Kimura N, Kinley-Hanlon M, Kirchhoff R, Kissel J, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee A, Knowles T, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong A, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak D, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kuwahara S, Kwak K, Lagabbe P, Laghi D, Lalande E, Lam T, Lamberts A, Landry M, Lane B, Lang R, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky P, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche Y, Lee H, Lee H, Lee H, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leonardi M, Leroy N, Letendre N, Levesque C, Levin Y, Leviton J, Leyde K, Li A, Li B, Li J, Li K, Li T, Li X, Lin CY, Lin FK, Lin FL, Lin H, Lin LCC, Linde F, Linker S, Linley J, Littenberg T, Liu G, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo R, Lockwood A, London L, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott T, Lough J, Lousto C, Lovelace G, Lucaccioni J, Lück H, Lumaca D, Lundgren A, Luo LW, Lynam J, Macas R, MacInnis M, Macleod D, MacMillan I, Macquet A, Hernandez IM, Magazzù C, Magee R, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Lee S, Kim K. Abstract No. 381 Complications after percutaneous sclerotherapy of venous malformations: single-center 5-year experience. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Bailey C, Stumpf F, Raymond A, Richard H, Kim K, Fang A. Abstract No. 150 Retrospective comparative analysis of inferior vena cava filter retrieval in patients with and without filter strut arterial abutment/penetration. J Vasc Interv Radiol 2022. [DOI: 10.1016/j.jvir.2022.03.231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Nagel A, Radziszewski M, Khatri B, Wiley MM, Stolarczyk AM, Joachims ML, Sun Q, Kim K, Bae SC, Tsao B, Lessard C. POS0456 AUTOPHAGY-RELATED RISK LOCI IN SLE AND THEIR ROLE IN NEUTROPHILS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundSystemic lupus erythematous (SLE) is an autoimmune disease with ~150 established susceptibility risk loci. Genome wide-association (GWA) studies in SLE cases and controls of Korean ancestry identified the SLE risk locus ATG16L2-P2RY2, and rs11235604 as a SLE-associated missense variant (R220W) of Autophagy Related 16 Like 2 (ATG16L2) [1]. PRDM1-ATG5 is also an SLE risk locus in European populations that is implicated in autophagy. Autophagy plays a crucial role in neutrophil extracellular trap (NET) formation, degranulation, and limiting autoantigens in blood. Dysregulated autophagy has been implicated in SLE pathology and poor disease outcomes. The function of ATG16L2 is unknown, but evidence suggests it may function as a negative regulator of autophagosome formation [2].ObjectivesTo identify autophagy-related SLE risk variants shared across different ancestry populations and define the role of ATG16L2 in SLE and autophagy.MethodsSLE case-control GWA scans from European (7568 cases; 1082 controls), African American (4336 cases; 935 controls), Hispanic (3752 cases; 1840 controls), and Korean (1173 cases; 4213 controls) populations were imputed and SNP associations tested. Meta-analysis was performed, then Bayesian statistics were used to define a credible SNP set. Bioinformatic analyses (RegulomeDB, promoter capture Hi-C, eQTLs, etc.) further prioritized SNPs based on predicted functionality. The functional significance of autophagy SLE risk genes, ATG16L1, ATG16L,2 and ATG5, were tested by CRISPR knockout (KO) in PLB-985 cell line. CRISPR-targeted single cell clones were screened for ATG16L1, ATG16L2 or ATG5 deletion using qPCR, NanoPore sequencing, and Western blotting. Changes in autophagy were assessed by Western blotting and confocal microscopy.ResultsTransracial fine-mapping of PRDM1-ATG5 locus identified two SNP associations shared across the credible sets in all populations: rs56886418 (p=1.38x10-5) located in the intron of PRDM1 and rs77791277 (p=1.38x10-5) that tagged a group of SNPs in strong linkage disequilibrium. Cross comparison of the credible SNP sets and bioinformatic analyses of shared SNPs identified rs533733 and rs9373843 as additional likely functional variants. Bioinformatic analyses prioritized rs56886418, an eQTL for ATG5 (p=0.05) and PRDM1 (p=4.75x10-7) in blood cells positioned in a topologically associated domain (TAD) that may interact with ATG5 and PRDM1 promoters in EBV-transformed B cells. SNP rs533733 is an eQTL for ATG5 in neutrophils (p=0.006) and is in a TAD 6.4kb 3’ of PRDM1 that interacts with the ATG5 promoter region where rs9373843 (eQTL of ATG5 in neutrophils (p=0.04)) is positioned. These data suggest that risk SNPs on the PRDM1-ATG5 locus may modulate ATG5 expression and autophagy in specific cell types by modulating the local chromatin regulatory network.To assess the roles of ATG5, ATG16L1 and ATG16L2 in autophagy, PMA/I-induced hallmarks of autophagy, LC3-I and LC3-II conversion and p62 protein aggregation, were assessed in homozygous and heterozygous ATG5, ATG16L1, or ATG16L2 CRISPR KO PLB-985 cells by Western blotting and confocal microscopy. Loss of ATG5 or ATG16L1 impaired PMA/I-induced autophagosome formation in myeloid-like and differentiated neutrophil-like PLB-985 cells. In contrast, loss of ATG16L2 elevated the conversion of LC3-I to LC3-II and p62 protein aggregation in both cell types, suggesting that ATG16L2 may inhibit autophagy.ConclusionFunctional characterization of SNPs on the PRDM1-ATG5 and ATG16L2-P2RY2 loci, and the functional characterization of ATG16L2 in myeloid and neutrophil cell lines, provide new insights into the mechanisms that regulate autophagy in health and disease. Ongoing studies will focus on in vitro validation of predicted functional SNPs and will introduce ATG16L2 rs11235604 risk variant in PLB-985 cells to assess its importance in autophagy.References[1]Lessard CJ, et al. Arthritis Rheumatol. 2016; 68(5):1197-1209.[2]Wible DJ, et al. Cell Discov. 2019; 5:42.Disclosure of InterestsNone declared.
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Park B, Kim Y, Seo J, Byun J, Kim K. Passivation effect on large volume CdZnTe crystals. NUCLEAR ENGINEERING AND TECHNOLOGY 2022. [DOI: 10.1016/j.net.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Nakano M, Ota M, Takeshima Y, Iwasaki Y, Hatano H, Nagafuchi Y, Kim K, Bang SY, Lee HS, Shoda H, Zhang X, Bae SC, Terao C, Yamamoto K, Okamura T, Ishigaki K, Fujio K. OP0110 CELL-TYPE-SPECIFIC TRANSCRIPTOME ARCHITECTURE UNDERLYING THE ESTABLISHMENT AND EXACERBATION OF SYSTEMIC LUPUS ERYTHEMATOSUS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1684] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease with unknown etiology involving multiple immune cells and has diverse clinical phenotypes. This heterogeneous nature has hampered a better understanding of SLE pathogenesis and the development of effective therapeutic agents. While recent single-cell RNA sequencing studies of SLE identified several important cell subpopulations, they were limited by sparse expression information at single-cell level and small sample sizes.ObjectivesThis study aimed to elucidate the dysregulated gene expression pattern linked to multiple clinical statuses of SLE with a fine cellular resolution and higher sensitivity. We also attempted to resolve a complex interaction between risk variants and the transcriptome dysregulation seen in SLE patients.MethodsWe conducted a large-scale bulk transcriptome study of 6,386 RNA-sequencing data including 27 purified immune cell types in peripheral blood from 136 SLE and 89 healthy donors in the Immune Cell Gene Expression Atlas from the University of Tokyo (ImmuNexUT) cohort1. At enrollment, SLE patients had diverse clinical manifestations (disease activity, organ involvement and treatment profiles) and 22 patients were re-evaluated after belimumab treatment.ResultsWe first profiled two distinct cell-type-specific transcriptomic signatures: disease-state and disease-activity signatures, reflecting disease establishment and exacerbation, respectively.After confirming the high replicability of both signatures in independent cohorts, we identified candidates of biological processes unique to each signature: e.g., upregulated E2F transcriptional activity in Th1, CD8+ memory T-lineage and NK cells, and dynamic increase of IL21 and CXCL13 in Th1 cells in an active phase of SLE. Pathway analysis highlighted the importance of immunometabolic process for SLE (e.g., oxidative phosphorylation) in cell-type-specific resolution.Moreover, we demonstrated cell-type-specific contributions to diverse organ involvement, e.g., Th1 for mucocutaneous, monocyte-lineage cells for musculoskeletal, neutrophil-lineage cells for renal activity, respectively.We also observed the strong associations of disease-activity signatures with treatment effect: (i) belimumab suppressed activity signatures from B-lineage cells, especially in good responders and (ii) mycophenolate mofetil substantially suppressed activity signatures from plasmablast, Th1, and central memory CD8 cells.However, through stratified LD score regression using large-scale SLE-GWASs, we revealed that disease-activity signatures were less enriched around SLE risk variants than disease-state signatures. Consistent with this result, the directions of SLE risk alleles’ expression quantitative trait locus (eQTL) effects were significantly concordant with the directions of disease-state signatures, but not with those of activity signatures. These findings suggested that the current genetic case-control studies may not well capture clinically vital biology linked to drug target discovery for SLE. Meanwhile, we also detected some examples of activity signatures that might contribute to the disease risk by modulating risk allele’s eQTL effects.Figure 1.ConclusionWe identified comprehensive gene signatures reflecting the establishment and exacerbation of SLE, which provide essential foundations for future genomic, genetic, and clinical studies.References[1]Ota, M. et al. Dynamic landscape of immune cell-specific gene regulation in immune-mediated diseases. Cell 2021;184:3006-21.e17.AcknowledgementsThis study was supported by Chugai Pharmaceutical Co., Ltd., Tokyo, Japan; the Ministry of Education, Culture, Sports; and the Japan Agency for Medical Research and Development (AMED) (JP21tm0424221 and JP21zf0127004).Disclosure of InterestsMasahiro Nakano: None declared, Mineto Ota Grant/research support from: Mineto Ota belongs to the Social Cooperation Program, Department of functional genomics and immunological diseases, supported by Chugai Pharmaceutical., Yusuke Takeshima Grant/research support from: Yusuke Takeshima belonged to the Social Cooperation Program, Department of functional genomics and immunological diseases, supported by Chugai Pharmaceutical., Yukiko Iwasaki: None declared, Hiroaki Hatano: None declared, Yasuo Nagafuchi Grant/research support from: Yasuo Nagafuchi belongs to the Social Cooperation Program, Department of functional genomics and immunological diseases, supported by Chugai Pharmaceutical., Kwangwoo Kim: None declared, So-Young Bang: None declared, Hye Soon Lee: None declared, Hirofumi Shoda: None declared, Xuejun Zhang: None declared, Sang-Cheol Bae: None declared, Chikashi Terao: None declared, Kazuhiko Yamamoto: None declared, Tomohisa Okamura Grant/research support from: Tomohisa Okamura belongs to the Social Cooperation Program, Department of functional genomics and immunological diseases, supported by Chugai Pharmaceutical., Kazuyoshi Ishigaki: None declared, Keishi Fujio Speakers bureau: Keishi Fujio receives speaker fees from Chugai Pharmaceutical., Consultant of: Keishi Fujio receives consulting honoraria from Chugai Pharmaceutical., Grant/research support from: Keishi Fujio receives research support from Chugai Pharmaceutical.
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Ryu H, Song C, Kim J, Jeon J, Cho S, Kim K, Jheon S, Kim S, Kim Y, Lee J. PO-1241 Role of Prognostic Nutritional Index in Postoperative Radiotherapy for Non-Small Cell Lung Cancer. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03205-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Yim J, Son N, Kim K, Yoon D, Cho Y, Lee S, Park Y, Kim K, Lee J, Kim J. W054 Suggestion of cystatin C indication using muscle mass-based parameter for the desirable prediction of glomerular filtration rate. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Kim J, Kim K, Jung W, Shin K, Im S, Kim H, Kim Y, Chang J, Kim J, Choi D, Park Y, Kim D, Kim T, Choi B, Lee S, Kim S, Kwon J, Kang K, Chung W, Kim K, Nam J, Yoon W, Cha J, Oh Y, Kim I. PO-1219 Pattern of care for brain metastasis from breast cancer over the past 10 years in Korea. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03183-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Kim K, Cho G, Kim K, Choi S. PO-1588 Dosimetric Characteristics of Photoconductive Material for High Energy Beam in Radiation Therapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03552-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Kim K, Jeong I, Moon H. M291 A survey on antinuclear antibodies testing in Korea. Clin Chim Acta 2022. [DOI: 10.1016/j.cca.2022.04.347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Han A, Kim K, Choi H, Noh H, Cho IJ, Lim S, Lee J. 19P Usefulness of Hounsfield unit on computed tomography, serum neutrophil to lymphocyte ratio, and their combination as prognostic factor in patients with breast cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.03.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Kim KM, Kim MJ, Chung JS, Ko JW, Choi YU, Shim H, Jang JY, Bae KS, Kim K. Determination of risk factors associated with surgical site infection in patients undergoing preperitoneal pelvic packing for unstable pelvic fracture. Acute Crit Care 2022; 37:247-255. [PMID: 35545236 PMCID: PMC9184976 DOI: 10.4266/acc.2021.01396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 12/12/2021] [Indexed: 11/30/2022] Open
Abstract
Background Several recent studies have shown that preperitoneal pelvic packing (PPP) effectively produces hemostasis in patients with unstable pelvic fractures. However, few studies have examined the rate of surgical site infections (SSIs) in patients undergoing PPP following an unstable pelvic fracture. The purpose of the present study was to evaluate factors associated with SSI in such patients. Methods We retrospectively reviewed the medical charts of 188 patients who developed hemorrhagic shock due to pelvic fracture between April 2012 and May 2021. Forty-four patients were enrolled in this study. Results SSI occurred in 15 of 44 patients (34.1%). The SSIs occurred more frequently in cases of repacking during the second-look surgery (0 vs. 4 [26.7%], P=0.010) and combined bladder-urethra injury (1 [3.4%] vs. 4 [26.7%], P=0.039). The incidence of SSIs was not significantly different between patients undergoing depacking within or after 48 hours (12 [41.4%] vs. 5 [33.3%], P=0.603). The mean time to diagnosis of SSI was 8.1±3.9 days from PPP. The most isolated organism was Staphylococcus epidermidis. Conclusions Repacking and combined bladder-urethra injury are potential risk factors for SSI in patients with unstable pelvic fracture. Close observation is recommended for up to 8 days in patients with these risk factors. Further, 48 hours after PPP, removing the packed gauze on cessation of bleeding and not performing repacking can help prevent SSI. Additional analyses are necessary with a larger number of patients with the potential risk factors identified in this study.
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An S, Kim HR, Jang S, Kim K. The Impact of the Coronavirus Disease - 19 Pandemic on the Clinical Characteristics and Treatment of Adult Patients with Acute Appendicitis. Front Surg 2022; 9:878534. [PMID: 35433818 PMCID: PMC9009369 DOI: 10.3389/fsurg.2022.878534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 03/21/2022] [Indexed: 01/08/2023] Open
Abstract
PurposeThis study aimed to investigate the characteristics, severity, and treatment of adult patients with acute appendicitis in Korea over a 2-year period during the coronavirus disease (COVID-19) pandemic compared to those before the pandemic. We also investigated whether there were any changes in clinical characteristics of acute appendicitis before and after vaccination against the coronavirus.MethodsWe retrospectively reviewed the medical records of patients who were diagnosed with acute appendicitis at our institution between March 1, 2019, and August 31, 2021. We divided the patients into three groups (pre-pandemic, before vaccination, and after vaccination) and analyzed the clinical outcomes.ResultsThe time from symptom onset to hospital arrival and the time from symptom onset to operation increased during the COVID-19 pandemic period compared to the pre-pandemic period. The rate of complicated appendicitis during the pandemic was higher than that before the pandemic. In addition, the number of new daily cases showed a positive correlation with the time from symptom onset to hospital arrival (OR, 0.03; 95% CI, 0.02 to 0.04; P < 0.001) and complicated appendicitis (OR, 1.002; 95% CI, 1.001–1.002; P = 0.0017). The vaccination rate showed a negative correlation with the time from symptom onset to hospital arrival (OR, −2.26; 95% CI, −3.42 to −1.11; P < 0.001) and complicated appendicitis (OR, 0.915; 95% CI, 0.84 to 0.996; P = 0.0404).ConclusionsEmploying hospital-wide efforts, such as screening by rapid PCR testing, to avoid further time delays, and nationwide efforts, such as vaccination, to shorten the time from symptom onset to hospital arrival, are necessary to maintain the quality of treatment of acute appendicitis during an infectious disease pandemic.
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