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253 citation(s) found for "Takahashi, Yūji".

Metabolic Syndrome and Acute Respiratory Distress Syndrome in Hospitalized Patients With COVID-19
Gillet, A.S. , Zu, Yuanhao, Brown, Margo, Pham, Thaidan , Yoshida, Yilin , Douglas, Ivor S. , Moore, Mathew, Tea, Kevin, Wetherbie, Andrew, Stevens, Rachael, Lefante, John J., Shaffer, Jeffrey G. , Armaignac, Donna Lee , Belden, Katherine A. , Kaufman, Margit, Heavner, Smith F. , Danesh, Valerie , Hill, Catherine A. St., Boman, Karen , Bansal, Vikas , Kumar, Vishakha K. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Mesland, Jean-Baptiste , Henin, Pierre , Petre, Hélène, Buelens, Isabelle, Gérard, A , Granado, Rolando Claure-Del, Vega-Terraza, Esdenka, Iturricha-Cáceres, Maria F., Garza, Rubén , Chan, Victoria , Gavidia, Oscar Y., Pachon, Felipe, Tawheed, Ahmed , Pineda, Estela , Guillen, Gabina María Reyes, Soto, Helin Archaga, Lizardo, Ana Karen Vallecillo, Segu, Smitha, Chakraborty, T., Joyce, Epcebha, Kasumalla, Phani Sreeharsha, Vadgaonkar, Girish, Ediga, Rekha, Basety, Shilpa, Dammareddy, Shwetha, Raju, Umamaheswara, Manduva, Janaki, Kolakani, Naresh, Sripathi, Shreeja , Chaitanya, Sheetal, Parameswaran, Sreejith , Parthiban, Magesh, Menu, P., Daga, Mardul Kumar, Agarwal, Munisha , Rohtagi, Ishan, Papani, Sridhar, Kamuram, Mahesh, Agrawal, Kamlesh Kumar , Baghel, Vijendra, Patel, K, Mohan, Surapaneni Krishna, Jyothisree, Ekambaram, Dalili, Nooshin , Nafa, Mohsen, Matsuda, Wataru , Suzuki, Reina , Horikita, Sho, Kodate, Akira, Takahashi, Yuki , Moriki, Koyo, Iwasaki, Yudai , Rodríguez‐Gutiérrez, René , Gonzale, Jose Gerardo, Salcido‐Montenegro, Alejandro , Hassan-Hanga, Fatimah , Gezawa, Abubakar Shehu, Kabir, Halima , Amole, Taiwo Gboluwaga , Haliru, Dalha Gwarzo, Ibrahim, Abdullahi S., Asghar, Muhammad Sohaib , Syed, Mashaal , Naqvi, Syed Anosh Ali, Заболотских, И. Б. , Alamoudi, Razan K., Alsharif, Hassan, Almazwaghi, Sarah A., Elsakran, Mohammed S., Aid, M., Darwich, Mouaz A., Hagag, Omnia M., Ali, Salah A., Rocacorba, Alona, Supeña, Kathrine, Juane, Efren Ray, Medina, Jenalyn, Baduria, Jowany, Amer, Marwa , Dahhan, Talal, Kseibi, Eiad, Butt, Abid Shahzad, Khurshid, Syed Moazzum, Rabee, Muath, Abujazar, Mohammed, Alghunaim, Razan K, Abualkhair, Maal, AlFirm, Abeer Turki, Alarifi, Mohammed I, Macarambon, Jara Mia, Bukhari, Ahmad Abdullah, Albahrani, Hussian A, Aldossary, Kaltham M., Zoran, Marija Zdravkovic, Popadic, Viseslaz, Bojicic, Jovana, Predrag, Stevanović, Stojakov, Dejan , Ignjatovic, Duska K., Bojicic, Suzana C, Bobos, Mariana M, Nenadić, Irina , Zaric, Milica S., Djuric, Marko , Djukic, Vladimir R., Teruel, Santiago, Martin, Belen C., Bilgin, Huseyin, Dodd, Kenneth W. , Goodmanson, Nicholas, Hesse, Kathleen, Bird, P. H., Weinert, Chauncey, Schoenrade, Nathan, Altaher, Abdulrahman, Mayar, Esmael, Aronson, Matthew, Cooper, Tyler, Logan, Monica, Miner, Brianna, Papo, Gisele, Siegal, Eric M., Runningen, Phyllis, Patel, Love , Melamed, Roman , Tierney, David M. , Raj, Vino S., Mazumder, Narayana, Hill, Catherine St., Kirkland, Lisa L., Schmitz, Nova J., Sigman, Alena, Hall, Joan, Raval, Abhijit, Franks, Andrea S. , Jarvis, Jennifer M., Kharbanda, Anmol, Jhajhria, Sunil, Fyffe, Zachary, Capizzi, Stephen A., Alicie, Bethany, Green, Martha, Corckarell, Lori, Drennan, A. M., Dubuque, Kathleen, Fambrough, Tonya, Gasaway, Nikole, Krantz, Briana, Nebi, Peiman, Orga, Jan, Serfass, Margaret, Simion, Alina, Warren, Kimberly R., Wheeler, Cassie, Woolman, C. J., Christie, Amy B. , Adiga, Rajani, Moyer, A, Verghese, George M., Forehand, Chirsty C, Sabov, Moldovan, Zaidi, Fatema, Tissavirasingham, Fiona, Malipeddi, Dhatri , Campbell, Beth Salvagio , Wilson, Cathleen, Rivers, Patrick , Brinks, Jonathan, Mongoh, Mokenge Ndiva, Gilson, Boris, Armaignac, Donaa Lee, Parris, Don, Zuniga, Maria Pilar, Vargas, Ilea, Boronat, Viviana, Hutton, Anneka, Kaur, Navneet , Neupane, Prashank, Sadule-Rios, Nohemi, Rojas, Lourdes M. , Neupane, Aashish, Rivera, Priscilla, Carlos, Carlos Valle, Amin, Mahesh, Schelle, Mary E, Steadham, Amanda, McBride, Cameron , Abraham, Jocelyn, Richards, Katherine , Collins, Keegan, Antony, Preethi, Dubrocq, Gueorgui , Davis, Amber, Hammers, Marissa J, McGahey, Ill M, Farris, Amanda C., Priest, Elisa L. , Korsmo, Robyn, Fares, Lorie, Skiles, Kathy, Shor, Susan M, Burns, Kenya, Flores, Melody, Newman, Lindsay, Wilk, Debora A., Ettlinger, Jason, Bomar, Jaccallene, Darji, Himani, Arroliga, Alejandro C. , Dowell, Corrie A., Gonzales, Gabriela “ Hope”, Garcia, Michael A. , Colona, Mia R., Kibbelaar, Zoé A. , Leong, Michael S. , Wallman, Daniel , Soni, Kanupriya , Maccarone, Jennifer , Gilman, Joshua, Devis, Ycar, Chung, Joseph, Paracha, Munizay , Lumelsky, David , DiLorenzo, Madeline A. , Abdurrahman, Najla, Johnson, Shelsey W. , Hersh, Maj Andrew M., Wachs, Stephanie, Swigger, Brittany S., Sattler, L, Moulton, Michael N., Zammit, Kimberly, Loeffler, William, Tirupathi, Raghavendra , Tang, Alymer, Safi, Arshad M., Green, Cindy, Newell, J.D., Ramani, Naga, Ganti, Bhavani Harika, Ihle, R , Davis, Elaine , Martin, Shelda A, Sayed, Imran A., Strom, Larisa, Lee, Giyoung , Burnett, Ryan H., Sydney, Guy I. , Traynor, Danielle M., White, Joshua, Khan, Aftab, Dhahwal, Rahul, Ahmed, Farzin, Deonarine, Chrispoter, Jones, Ashley, Shaikh, Mohammad Ali, Preston, David A. , Chin, Jeanette, Duggal, Abhijit, Rajendram, Prabalini , Mehkri, Omar , Biehl, Michelle, Houltham, Stuart, Kind, Alexander, Ashok, Kiran, Poynter, Bryan, Beukemann, Mary, Rice, Richard, Gole, Susan, Shaner, Valerie , Conjeevaram, Adarsh, Ferrari, Michlelle, Alappan, Narendrakumar, Minear, Steven , Hernández-Montfort, Jaime , Nasim, Syed Sohaib, Sunderkrishnan, Ravi, Sahoo, Debasis , Milligan, Patrick S., Koglin, Joy M., Gibson, Regina, Johnson, Lana, Preston, Felicia, Scott, Crimson, Nungester, Bethany, Byrne, Dana , Grant, Katie, Doktar, Katherine L, Porto, Maura C, Kaplan, Olgo, Schonewald, Brian, Woodford, Ashley L., Tsai, Alan , Reid, Savina, Bhowmick, Kuntal, Daneshpooy, Saba , Mowdawalla, Cyrus , Dave, Trishna Akshay, Crudeli, Wilhemina Kennedy Connor, Ferry, Chirstopher, Nguyen, Long , Modi, Sneha, Padala, Niharika, Patel, Pavan Jitendra, Lin, Belle, Qiuyun, Jamie, Liu, Fan Mandi, Kota, Rasagna, Banerjee, Annesha , Daugherty, Steven K., Atkinson, Sam, Shrimpton, Kelly, Ontai, Sidney , Contreras, Brian, Obinwanko, Uzoma, Amamasi, Nneka, Sharafi, Amir, Lee, Sarah , Esber, Zahia , Jinjvadia, Chetna, Krishnamoorthy, Vijay , Kraft, Bryan , Pulsipher, Aaron, Friedman, Eugene, Mehta, Sachin , Kaufman, Margit, Lobel, G, Gandhi, Nisha, AbdelAty, Amr M. , Shaji, Elizabeth, Lim, Kiana, Marte, Juan M., Sosa, Dani Ashley, Benjenk, Ivy , Prasanna, Nivedita, Perkins, Nicholas , Roth, Prera J, Litwin, Alain H. , Pariyadath, Ananda, Moschella, Phillip , Llano, Trayson, Waller, Christine, Kallies, Kara J. , Thorsen, Jonean , Fitzsimmons, Alec , Olsen, H. L., Smalls, Normal, Davis, S., Jovic, Valentina, Masuda, M, Hayes, Amanda, Nault, Katharine, Snow, William G., Liptak, Riley, Durant, Hannah, Pendleton, Valerie, Nanavati, Alay, Mrozowsk, Risa, Doubleday, Erica, Liu, Yuk Min, Zavala, Sarah , Shim, Esther, Reilkoff, Ronald A., Eichen, Sarah, Goertzen, Lexie, Rajala, Scott, Feussom, Ghislaine, Junia, Christine, Lichtenberg, Robert, Sidhu, Hasrat, Espinoza, Diana , Rodrigues, Shelden , Zabala, Marai Jose, Susheela, Ammu , Hatharaliyadda, Buddhi, Rameshkumar, Naveen, Kasireddy, Amulya, Beltran, Lisseth, Chaugule, Akshata, Patil, Namrata, Patil, Ruhi, Cartin‐Ceba, Rodrigo , Sen, Ayan , Talaei, Fahimeh , Domecq, Juan Pablo , Gajic, Ognjen, Sharma, Mayank , Qamar, Shahraz , Morales, Diana J. Valencia , Nou, Abigail T. La, Bogojevic, Marija , Sanghavi, Devang , Franco, Pablo Morno, Ganaphadithan, Karthik, Saunders, Hollie , Fleissner, Zachary, Mateus, Alejandra Yu Lee, Kaur, Nirmaljot , Giri, Abhisekh, Hasan, Mohammed Mustafa, Donepudi, Ashrita , Khan, Syed Anjum , Jain, Nitesh , Koritala, Thoyaja , Nanchal, Rahul , Peterson, Jennifer , Yamanaka, Travis, Barreras, Nicholas A., Markos, Michael, Fareeduddin, Anita, Mehta, Rohan, Venkata, Chakradhar , Engemann, Miriam, Mantese, Annamarie, Tarabichi, Yasir , Wang, Christine, Kotekal, Dhatri, Bierwirth, Adriana C. Briceno, Orellana, Gabriela, Catalasan, Gerardo , Ahmed, Shohana, Salinas, Ivania, Nogal, Genesis Del, Tejada, Ángel Morales-Martínez de, Chen, Jen‐Ting , Hope, Aluko A. , Tsagaris, Zoe, Ruen, Elise, Hambardzumyan, Aram, Siddiqi, Nasar A, Jurado, Lesly, Tincher, Lindsey, Brown, Carolyn , Aulakh, Bhagat , Bandy, Jennifer A., Kreps, Lisa M., Bollinger, Dwan R, Stienecker, Roger Scott , Melendez, Andre G, Brunner, Tressa A., Budzon, Sue M., Heffernan, J., Souder, Janelle M., Miller, Tracy L., Maisonneuve, A., Redfern, Roberta E. , Shoemaker, Jessica, Micham, Jennifer, Kenney, Lynn, Naimy, Gabriela, Pulver, Kerry P J, Yehle, Jennifer, Weeks, Alicia, Inman, T., Delmonaco, Brain L, Franklin, Anthony , Heath, Mitchell, Vilella, Antonia L. , Kutner, Sara B., Clark, Kacie , Anderson, Harry L, Rajkumar, Dixy, Abunayla, Ali, Heiter, Jerrilyn, Zaren, Howard A. , Smith, Stephanie J., Lewis, Grant C., Seames, Lauren, Farlow, Cheryl, Miller, Judy, Broadstreet, Gloria, Martinez, Anthony , Allison, Micheal, Mittal, Aniket, Ruíz, Rafael Azuar , Skaanland, Aleta, Patel, Umang, Hodge, Jordesha, Patel, Krunal Kumar, Dalal, Shivani , Kavani, Himanshu , Joseph, Sam W. , Bernstein, Michael, Goff, Ian K., Naftilan, Matthew, Mathew, Amal , Williams, Debora, Murdock, Sue, Ducey, Maryanne, Nelson, Kerianne, Mitchel, James, Cox, Sylvan, Amzuta, Ioana, Shah, Amish , Modi, Ritu, Al-Khalisy, Hassan, Masuta, Pradeep, Schafer, Melissa , Wratney, Angela, Carter, K., Olmos, M. A. Martinez, Parker, Brittany M, Quintanilla, Julio, Craig, Tara A, Clough, B., Jameson, J, Jones, Tacy L, Ayers, Shonda C., Harrell, Amy B., Brown, Brent R., Darby, Caleb, Page, Kristy, Brown, Amanda, McAbee, Jessie, Baram, Michael , Weber, Devin , DePaola, Rosalie, Xia, Yuwei , Carter, Hudson, Tolley, A. E., Ferranti, Mary, Steele, Mark P., Kemble, Laurie, Sethi, Joshua, Han, Chung Cheng, Pagliaro, Jaclyn , Husian, Abdurrahman, Zawaydeh, Qais , Sines, B. , Markotić, Dragana, Bošnjak, Ivana, Nicholson, Susannah E. , Jonas, Rachelle B., Dement, AnnaRose E, Tang, William , DeRose, Mark, Villarreal, Robert E, Dy, Rajany , Lardino, Alfredo, Sharma, Jill H., Czieki, Richard, Christopher, Julia, Lacey, Ryan, Mashina, Marwan , Patel, Kushal, Gomaa, Dina , Goodman, Micahel, Spuzzillo, Anthony , Shinn, John O., Baslanti, Tezcan Ozrazgat, Omalay, George, Hashemighouchani, Haleh , Cupka, Julie S , Galet, Colette , Hubbard, Janice, Nazir, Usman, Rampon, Garrett , Riggle, Jake, Dismag, Nathan, Lenhardt, Rainer, Cavallazzi, Rodrigo , Jerde, Ann, Black, Alexa, Polidori, A., Griffey, Haily, Winkler, J., Brenzel, Thomas, Alvarez, Rodger A, Alarocon-Calderon, Amarilys, Sosa, Marie Anne , Mahabir, Sunita, Patel, Mausam , Parker, Pauline, Admon, Andre, Hanna, Sinan, Pliakas, Maria , Wolski, Ann, Cirino, Jennifer, Geiger, Grant , Njai, Abdoulie , Saad, Baraa M., Chuan, Byron, Rawal, Sagar L, Piracha, Manal, Levin, Nicholas M. , Suslavich, Kayte , Tsolinas, Rachel , Fica, Zachary , Skidmore, Chloe R., Stapleton, Renee D., Dixon, Anne E. , Johnson, Olivia, Ardren, Sara S., Burns, Stephanie, Raymond, Anna, Gonyaw, Erika, Hodgdon, Kevin , Houseger, Chole, Lin, Benjamin R. , McQuesten, Karen, Grimm, Heidi Pecott-, Sweet, Julie, Ventrone, Sebastian, Khandelwal, Nita , Lovelace-Macon, Lara, Garimella, Navya, Dow, Denisse Bazan, Rahman, Rania Abdul, Mulrow, Mary, Wilfong, Erin M. , Vela, Kelsi, Harris, Lynne, Cusson, Bruce, Fowler, Jacob , VanEenenaam, David P., Mckinney, Glen , Udoh, Imoh, Johnson, Kathleen N. , Michelson, Andrew P. , Haulf, Sara S, Lynch, Lauren, Steinbery, Aaron, Braus, Nicholas, Pattan, Vishwanath , Papke, J, Jimada, Ismail, Mhid, Nida, Chakola, Samuel, Sheth, Kevin N., Ammar, Abdalla , Lopez, Victor Torres , Khosla, Akhil , Gautam, Samir C. , Lee‐Mateus, Alejandra Yu , Bansal, Vikas , Yu Lee-Mateus, Alejandra , Kaur, Nirmaljot , Asghar, Muhammad S , Redfern, Roberta E , Denson, Joshua L. , Mauvais‐Jarvis, Franck , Cheruku, Sreekanth , Deo, Neha , Walkey, Allan J. , Kashyap, Rahul , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Clevenbergh, Philippe Albert , Granado, Rolando Claure‐Del , Mercado, Jose A, Garza, Ruben, Chu, Eric, Chan, Victoria, El‐Kassas, Mohamed , Chakraborty, Tuhin, Cherian, Anusha , Menu, Priya A, Sanui, Masamitsu , Itagaki, Yuki , Shiga, Takuya , Camacho-Ortíz, Adrián , Galadanci, Hadiza , Syed, Mashaal, Musaeva, Tatiana Sergeevna , Bawazeer, Mohammed Abdullah , Alghunaim, Razan K, Almazyad, Mohammed , Asfina, Kazi Nur , Klašnja, Slobodan , Kovačević, Bojan , Teruel, Santiago Y, Sili, Uluhan , Ay, Pınar , Bird, Paige, Schoenrade, Nathan, Hall, Joan, Franks, Andrea, Drennan, Amelia, Warren, Kimberly, Ashley, Dennis W. , Sikora, Andrea , Bruning, Rebecca, Jones, Timothy W, Mosier, Jarrod , Lutrick, Karen , Vincent, Gregory, Howard, Christopher M. , Garner, Orlando , Mathew, Sindhu, Dubrocq, Gueorgui , Waikar, Sushrut S. , Leong, Michael, McGrath, Patrick J, Chilbert, Maya R. , Green, Cindy, Ihle, Rayan E, Martin, Shelda A., Gist, Katja M. , Chiotos, Kathleen , Blatz, Allison M. , Surani, Salim , White, Joshua, Khan, Aftab, Preston, David, Vachharajani, Vidula , Dugar, Siddharth , Sacha, Gretchen , Kind, Alexander, Gole, Susan, Gupta, Sandeep , Schorr, Christa , Siegler, James E. , Bartz, Raquel R. , Mehta, Sachin, Kaufman, Margit, Abdelaty, Amr, Yamane, David , Pariyadath, Anand, Olsen, Haley, Smith, Michael A. , Snow, William, Heneghan, Julia A. , Tang, Ben, Goyes, Daniela , Maldonado, Génessis , Khan, Hassan, Gajic, Ognjen , Tekin, Aysun , Lal, Amos , O’Horo, John C. , Singh, Romil , Nou, Abigail La, Zec, Simon , Guru, Pramod , Garcia, Juan, Yarrarapu, Siva Naga S. , Bergl, Paul A. , Peterson, Jennifer L, Perzynski, Adam T. , Wang, Christine, Matute, Carlos , Hamdan, Ahmad, Tejada, Angel, Tripathi, Sandeep , Inman, Terra, Moore, Danielle, Anderson, Harry L, Miller, Judy, Ruiz, Rafael, Ross, Robert, Joseph, Sam, Block, Jason, O’Brien, Connor , Carter, Kristina L, Olmos, Michael, Gupta, Neha , Darby, Caleb, Tolley, Aaron, Malhotra, Atul , Bice, Thomas J. , Bosnjak, Ivana, Vail, Emily A. , Tang, William, Villarreal, Roberto E., Patel, Kushal, Wakefield, Devin, Bihorac, Azra , Ruppert, Matthew M. , McGonagill, Patrick W. , Wang, David , Allan, Lauren , Badheka, Aditya V. , Chegondi, Madhuradhar , Akça, Ozan , Polidori, Allison, Winkler, Justin, Chanderraj, Rishi , Dandachi, Dima , Regunath, Hariharan , Camazine, Maraya , Saad, Baraa, Shah, Faraaz A , Tonna, Joseph E. , Lin, Benjamin, Pecott-Grimm, Heidi, West, T. Eoin , Caldwell, Ellen , Akhter, Murtaza , Khanna, Ashish , Lyons, Patrick G. , Lynch, Lauren M, Nguyen, Nguyet Minh , Papke, Jessica, Ammar, Mahmoud A , Dela Cruz, Charles S

JAMA Network Open | December 22, 2021 | Volume: 4 | Issue: 12 | Pages: e2140568

10.1001/jamanetworkopen.2021.40568 | PMID 34935924 Get It

Association of First Employment Characteristics and Hospitalization in the Mayo Clinic Biobank
Ryu, Euijung , Jenkins, Gregory D. , Christine, Kirt, Yost, Kathleen J. , Takahashi, Paul Y. , Larson, Nicole, Olson, Janet E.

Innovation in Aging | December 17, 2021 | Volume: 5 | Issue: Supplement_1 | Pages: 992-992

10.1093/geroni/igab046.3564 Get It

Abstract Work history is associated with long term health outcomes We hypothesize that characteristics of the first work experience, such as age at first job and length of work (hereafter job) are associated with future risk of hospitalization. We further hypothesize that the length of work will be associated with hospitalization. We conducted a survey of adults >60 years using a nested case-control approach within the Mayo Clinic Biobank. We collected job related variables including age at job start, reason for ending, and length of time. To test associations between each variable and hospitalization, we used age and gender adjusted logistic regression models. Our study included 4,024 subjects: 1,801 cases and 2223 controls. The mean age at time of match was 77.3 years (SD 7.2 years) with 49.2% males. Older age at the first full-time job was associated with lower chance of hospitalization later in life (OR=0.81 [0.67, 0.97] for those who started the job over 22 compared to those started at 18 or less). Cases were more likely to have stopped working because of illness (OR=2.04 [95% CI 1.29,3.27]). Cases were less likely to have stopped working because of retirement (OR=0.82 [95% CI: 0.72, 0.93]). We found cases were employed with a slightly shorter time (20.5 yrs. (SD 16.6)) compared to controls (21.8 yrs. (SD 16.3)) (p=0.005). Cases started work earlier and stopped work more frequently because of illness/disability compared to controls. This could reflect educational attainment in controls. This study highlights work history as potential predictor of future hospitalization.
Mutational Landscape of MDS Patients with HMA Failure Revealed By the Correlative Analysis from Inspire Trial
Luger, Selina M. , Al‐Kali, Aref , Warlick, Erica D. , Keng, Michael , Furudate, Ken , Zbyszewski, Patrick S., Parris, Matthew, Fruchtman, Steven, Garcia‐Manero, Guillermo , Takahashi, Koichi , Jonasova, Anna T , Valcárcel, David , Díez‐Campelo, María , Wang, Feng

Blood | November 23, 2021 | Volume: 138 | Issue: Supplement 1 | Pages: 1517-1517

10.1182/blood-2021-152048 Get It

Abstract Background: Hypomethylating agents (HMA) are well established standard of care for patients (pts) with higher-risk MDS (HR-MDS). However, approximately half of the pts do not respond to HMA therapy and most of the responders eventually lose response (HMA failure). There is no standard of care for pts after HMA failure and median overall survival (OS) post HMA failure is around 6 months (Jabbour et al. 2015). While the mutational landscapes and their role in prognosis are increasingly becoming apparent in pts with HR-MDS at diagnosis, mutational profiles at the time of HMA failure and their impact on clinical outcomes are not well understood. Here, using samples collected from a global Phase 3 trial randomizing HR-MDS pts post HMA failure to I.V. rigosertib (RGS) or physician's choice (PC) (INSPIRE: NCT02562443), we analyzed the landscape of driver mutations in HR-MDS after HMA failure and investigated the association with the clinical outcomes. Since RGS is a non-ATP-competitive small molecule RAS mimetic (Athuluri-Divakar 2016), the study also offered an opportunity to test the hypothesis whether HR-MDS pts with oncogenic RAS pathway mutations benefit from RGS. Methods: HR-MDS pts after HMA failure were randomized 2:1 to RGS or PC. All pts failed to respond to or progressed on prior HMA therapy. Bone marrow samples or peripheral blood samples were collected at the time of trial screening. Genomic DNA was sequenced by the targeted capture deep sequencing of 295 genes (median 500x). Results: 372 pts were enrolled in INSPIRE trial (248 to RGS and 124 to PC). The median age of the trial participants was 73 (range: 40-85). All pts were previously treated and with an HMA with the median duration of prior HMA therapy of 6.7 months. 64% and 28% of the pts were classified as IPSS-R very high risk or high risk, respectively, at the time of randomization. Among the 372 participants, DNA sequencing of pre-treatment samples was performed in 188 pts (51% of the participants, N = 122 in RGS arm, N = 66 in PC arm). The most frequently identified driver mutations involved ASXL1 (36%) followed by RUNX1 (24%), TET2 (23%), STAG2 (22%) and TP53 (21%). Mutations in splicing pathway genes were found in 36% of the pts. Oncogenic RAS pathway mutations were detected in 15% of the pts (NRAS = 3 %, KRAS = 2%, CBL = 4%, NF1 = 5%, PTPN11 = 3%, and 1% had multi-hit mutations). Compared to the previously untreated MDS pts (N = 446, Papaemmanuil et al. Blood 2013), mutations in ASXL1 (36% vs. 18%, P < 0.0001), BCOR (9% vs. 3%, P = 0.002), CEBPA (4% vs. 0.2%, P = 0.001), NF1 (5% vs. 0.9%, P = 0.003), RUNX1 (25% vs. 11%, P < 0.0001), STAG2 (22% vs. 5%, P < 0.0001), TP53 (21% vs. 6%, P < 0.0001), and IDH1/2 (13% vs. 7%, P =0.016) were significantly more enriched in pts with HMA failure, whereas mutations in SF3B1 (7% vs. 37%, P < 0.0001), TET2 (23% vs. 35%, P = 0.006), and splicing pathway genes (36% vs. 68%, P < 0.0001) were significantly less frequent in HMA failure pts. These results are consistent with the high-risk profiles of HMA failure pts. Frequency of oncogenic RAS pathway mutations were similar between HMA failure and previously untreated MDS pts (15% vs. 13%, P = 0.612). Correlation analysis between the types of HMA failure and gene mutations showed that TP53 mutations were significantly enriched in pts who relapsed after initial response to HMA (P = 0.001), whereas oncogenic RAS pathway mutations were significantly enriched in pts who progressed during the HMA therapy (P = 0.03). Overall, RGS did not significantly improve the overall survival (OS) of HMA failure pts compared to PC. Survival difference between RGS arm and PC arm was not observed in any subgroups stratified by the gene mutations. The only subgroup that showed improved OS with RGS compared to PC was pts with RAEB-t (median OS 7.5 vs. 3.9 months, P = 0.049). Of note, among pts with oncogenic RAS pathway mutations, no survival difference was observed between RGS and PC arms. Conclusion: High-risk gene mutations, such as TP53, ASXL1, RUNX1, and STAG2 (Ogawa. Blood 2019). were significantly enriched in MDS pts with HMA failure, suggesting their role in HMA resistance and disease progression. Identifying the mutations present de novo and with HMA failure offers the opportunity to determine prognosis based on these mutations as well as potential strategies to target these mutations with new medical entities. Disclosures Takahashi: GSK: Consultancy; Celgene/BMS: Consultancy; Novartis: Consultancy; Symbio Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees. Luger: Syros: Honoraria; Agios: Honoraria; Daiichi Sankyo: Honoraria; Jazz Pharmaceuticals: Honoraria; Brystol Myers Squibb: Honoraria; Acceleron: Honoraria; Astellas: Honoraria; Pfizer: Honoraria; Onconova: Research Funding; Celgene: Research Funding; Biosight: Research Funding; Hoffman LaRoche: Research Funding; Kura: Research Funding. Al-Kali: Novartis: Research Funding; Astex: Other: Research support to institution. Diez-Campelo: BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. OffLabel Disclosure: Rigosertib for MDS patients after HMA failure
Combined Drainage and Protocolized Necrosectomy Through a Coaxial Lumen-apposing Metal Stent for Pancreatic Walled-off Necrosis
Dayyeh, Barham K. Abu, Chandrasekhara, Vinay, Shah, Raj J., Easler, Jeffrey J., Storm, Andrew C., Topazian, Mark, Levy, Michael J., Martin, John A., Petersen, Bret T., Takahashi, Naoki, Edmundowicz, Steven, Hammad, Hazem, Wagh, Mihir S., Wani, Sachin, DeWitt, John, Bick, Benjamin, Gromski, Mark, Haddad, Mohammad Al, Sherman, Stuart, Merchant, Ambreen A., Peetermans, Joyce A., Gjata, Ornela, McMullen, Edmund, Willingham, Field F., Takahashi, Naoki , Takahashi, Naoki , Dayyeh, Barham K. Abu, Chandrasekhara, Vinay, Shah, Raj J., Easler, Jeffrey J., Storm, Andrew C., Topazian, Mark, Levy, Michael J., Martin, John A., Petersen, Bret T., Takahashi, Naoki, Edmundowicz, Steven, Hammad, Hazem, Wagh, Mihir S., Wani, Sachin, DeWitt, John, Bick, Benjamin, Gromski, Mark, Haddad, Mohammad Al, Sherman, Stuart, Merchant, Ambreen A., Peetermans, Joyce A., Gjata, Ornela, McMullen, Edmund, Willingham, Field F.

Annals of Surgery | November 4, 2021 | Volume: 277 | Issue: 5 | Pages: e1072-e1080

10.1097/sla.0000000000005274 | PMID 35129503 Get It

Objective: We evaluated a protocolized endoscopic necrosectomy approach with a lumen-apposing metal stent (LAMS) in patients with large symptomatic walled-off pancreatic necrosis (WON) comprising significant necrotic content, with or without infection. Summary Background Data: Randomized trials have shown similar efficacy of endoscopic treatment compared with surgery for infected WON. Design: We conducted a regulatory, prospective, multicenter single-arm clinical trial examining the efficacy and safety of endoscopic ultrasound -guided LAMS with protocolized necrosectomy to treat symptomatic WON ≥6 cm in diameter with >30% solid necrosis. After LAMS placement, protocolized WON assessment was conducted and endoscopic necrosectomy was performed for insufficient WON size reduction and persistent symptoms. Patients with radiographic WON resolution to ≤ 3 cm and/or 60-day LAMS indwell had LAMS removal, then 6-month follow-up. Primary endpoints were probability of radiographic resolution by 60 days and procedure-related serious adverse events. Results: Forty consecutive patients were enrolled September 2018 to March 2020, of whom 27 (67.5%) were inpatients and 19 (47.5%) had clinical evidence of infection at their index procedure. Mean WON size was 15.0 ± 5.6 cm with mean 53.2% ± 16.7% solid necrosis. Radiographic WON resolution was seen in 97.5% (95% CI, 86.8%, 99.9%) by 60 days, without recurrence in 34 patients with 6-month follow-up data. Mean time to radiographic WON resolution was 34.1 ± 16.8 days. Serious adverse events occurred in 3 patients (7.5%), including sepsis, vancomycin-resistant enterococcal bacteremia and shock, and upper gastrointestinal bleeding. There were no procedure-related deaths. Conclusions: Endoscopic ultrasound-guided drainage with protocolized endoscopic necrosectomy to treat large symptomatic or infected walled-off necrotic pancreatic collections was highly effective and safe. Clinicaltrials.-gov no: NCT03525808.
Rationale and Trial Design of MesEnchymal Stem Cell Trial in Preventing Venous Stenosis of Hemodialysis Vascular Access Arteriovenous Fistula (MEST AVF Trial)
Piryani, Ameet K., Kilari, Sreenivasulu , Takahashi, Edwin A. , DeMartino, Randall R. , Mandrekar, Jay, Dietz, Allan B. , Misra, Sanjay , Takahashi, Edwin A , Misra, Sanjay , Dietz, Allan B , DeMartino, Randall R , Piryani, Ameet K., Kilari, Sreenivasulu , Mandrekar, Jay

Kidney360 | September 27, 2021 | Volume: 2 | Issue: 12 | Pages: 1945-1952

10.34067/kid.0005182021 | PMID 35419530 Get It

Key Points At 1 year after placement, 60% of hemodialysis arteriovenous fistulas (AVF) will develop venous neointimal hyperplasia (VNH) and subsequent venous stenosis (VS). Autologous adipose-derived mesenchymal stem cells may help reduce VS formation associated with hemodialysis AVF. There are no therapies available to prevent VS formation associated with hemodialysis AVF. Background Hemodialysis arteriovenous fistulas (AVFs) are the preferred vascular access for patients on hemodialysis. In the Hemodialysis Fistula Maturation Study, 44% of the patients achieved unassisted maturation of their fistula without needing an intervention. Venous neointimal hyperplasia (VNH) and subsequent venous stenosis are responsible for lack of maturation. There are no therapies that can prevent VNH/VS formation. The goal of this paper is to present the background, rationale, and trial design of an innovative phase 1/2 clinical study that is investigating the safety of autologous adipose-derived mesenchymal stem cells delivered locally to the adventitia of newly created upper extremity radiocephalic (RCF) or brachiocephalic fistula (BCF). Methods The rationale and preclinical studies used to obtain a physician-sponsored investigational new drug trial are discussed. The trial design and end points are discussed. Results This is an ongoing trial that will complete this year. Conclusion This is a phase 1/2 single-center, randomized trial that will investigate the safety and efficacy of autologous AMSCs in promoting maturation in new upper-extremity AVFs. Clinical Trial registration number : NCT02808208
Critical appraisal of technologies to assess electrical activity during atrial fibrillation: a position paper from the European Heart Rhythm Association and European Society of Cardiology Working Group on eCardiology in collaboration with the Heart Rhythm
Groot, Natasja M.S. de , Shah, Dipen , Boyle, Patrick M. , Clifford, Gari D. , Dessel, Pascal van, Heinzel, Frank R. , Lambiase, Pier D. , Lumens, Joost , Platonov, Pyotr G. , Ngarmukos, Tachapong , Martí­nez, Juan Pablo , Sánchez, Alejandro Olaya, Takahashi, Yoshihide , Valdigem, Bruno Pereira , Veen, Alle-Jan van der, Vernooy, Kevin , Casado-Arroyo, Rubén , Group, ESC Scientific Document, Linz, Dominik , Svennberg, Emma , Kim, Young‐Hoon , López-Cabanillas, Néstor , Locati, Emanuela T, MacFarlane, Peter, Locati, Emanuela H. , Lambiase, Pier D , de Groot, Natasja M S , Linz, Dominik , Anter, Elad , Deisenhofer, Isabel , Deneke, Thomas , Dessel, Pascal F.H.M. van , Doessel, Olaf , Dilaveris, Polychronis E , Kapa, Suraj , Veen, Alle-Jan van der , Group, ESC Scientific Document, Potter, Tom J. R. De , Dinov, Borislav , Kosiuk, Jędrzej , Neubeck, Lis , Wan, Elaine Y. , Casado-Arroyo, Rubén

EP Europace | September 21, 2021 | Volume: 24 | Issue: 2 | Pages: 313-330

10.1093/europace/euab254 | PMID 34878119 Get It

Abstract We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps, and developing ideal AF recording and processing technologies. Recording and processing techniques for assessment of electrical activity during AF essential for diagnosis and guiding ablative therapy including body surface electrocardiograms (ECG) and endo- or epicardial electrograms (EGM) are evaluated. Discussion of (i) differences in uni-, bi-, and multi-polar (omnipolar/Laplacian) recording modes, (ii) impact of recording technologies on EGM morphology, (iii) global or local mapping using various types of EGM involving signal processing techniques including isochronal-, voltage- fractionation-, dipole density-, and rotor mapping, enabling derivation of parameters like atrial rate, entropy, conduction velocity/direction, (iv) value of epicardial and optical mapping, (v) AF detection by cardiac implantable electronic devices containing various detection algorithms applicable to stored EGMs, (vi) contribution of machine learning (ML) to further improvement of signals processing technologies. Recording and processing of EGM (or ECG) are the cornerstones of (body surface) mapping of AF. Currently available AF recording and processing technologies are mainly restricted to specific applications or have technological limitations. Improvements in AF mapping by obtaining highest fidelity source signals (e.g. catheter–electrode combinations) for signal processing (e.g. filtering, digitization, and noise elimination) is of utmost importance. Novel acquisition instruments (multi-polar catheters combined with improved physical modelling and ML techniques) will enable enhanced and automated interpretation of EGM recordings in the near future.
An interactive eye‐tracking system for measuring radiologists' visual fixations in volumetric CT images: Implementation and initial eye‐tracking accuracy validation
Gong, Hao , Hsieh, Scott S. , Holmes, David R. , Cook, David A. , Bartlett, David J. , Baffour, Francis , Takahashi, Hiroaki , Yu, Lifeng , Inoue, Akitoshi , Baffour, Francis I , Leng, Shuai , Yu, Lifeng , McCollough, Cynthia H. , Fletcher, Joel G. , Takahashi, Hiroaki

Medical Physics | September 17, 2021 | Volume: 48 | Issue: 11 | Pages: 6710-6723

10.1002/mp.15219 | PMID 34534365 Get It

AbstractPurposeEye‐tracking approaches have been used to understand the visual search process in radiology. However, previous eye‐tracking work in computer tomography (CT) has been limited largely to single cross‐sectional images or video playback of the reconstructed volume, which do not accurately reflect radiologists' visual search activities and their interactivity with three‐dimensional image data at a computer workstation (e.g., scroll, pan, and zoom) for visual evaluation of diagnostic imaging targets. We have developed a platform that integrates eye‐tracking hardware with in‐house‐developed reader workstation software to allow monitoring of the visual search process and reader‐image interactions in clinically relevant reader tasks. The purpose of this work is to validate the spatial accuracy of eye‐tracking data using this platform for different eye‐tracking data acquisition modes.MethodsAn eye‐tracker was integrated with a previously developed workstation designed for reader performance studies. The integrated system captured real‐time eye movement and workstation events at 1000 Hz sampling frequency. The eye‐tracker was operated either in head‐stabilized mode or in free‐movement mode. In head‐stabilized mode, the reader positioned their head on a manufacturer‐provided chinrest. In free‐movement mode, a biofeedback tool emitted an audio cue when the head position was outside the data collection range (general biofeedback) or outside a narrower range of positions near the calibration position (strict biofeedback). Four radiologists and one resident were invited to participate in three studies to determine eye‐tracking spatial accuracy under three constraint conditions: head‐stabilized mode (i.e., with use of a chin rest), free movement with general biofeedback, and free movement with strict biofeedback. Study 1 evaluated the impact of head stabilization versus general or strict biofeedback using a cross‐hair target prior to the integration of the eye‐tracker with the image viewing workstation. In Study 2, after integration of the eye‐tracker and reader workstation, readers were asked to fixate on targets that were randomly distributed within a volumetric digital phantom. In Study 3, readers used the integrated system to scroll through volumetric patient CT angiographic images while fixating on the centerline of designated blood vessels (from the left coronary artery to dorsalis pedis artery). Spatial accuracy was quantified as the offset between the center of the intended target and the detected fixation using units of image pixels and the degree of visual angle.ResultsThe three head position constraint conditions yielded comparable accuracy in the studies using digital phantoms. For Study 1 involving the digital crosshairs, the median ± the standard deviation of offset values among readers were 15.2 ± 7.0 image pixels with the chinrest, 14.2 ± 3.6 image pixels with strict biofeedback, and 19.1 ± 6.5 image pixels with general biofeedback. For Study 2 using the random dot phantom, the median ± standard deviation offset values were 16.7 ± 28.8 pixels with use of a chinrest, 16.5 ± 24.6 pixels using strict biofeedback, and 18.0 ± 22.4 pixels using general biofeedback, which translated to a visual angle of about 0.8° for all three conditions. We found no obvious association between eye‐tracking accuracy and target size or view time. In Study 3 viewing patient images, use of the chinrest and strict biofeedback demonstrated comparable accuracy, while the use of general biofeedback demonstrated a slightly worse accuracy. The median ± standard deviation of offset values were 14.8 ± 11.4 pixels with use of a chinrest, 21.0 ± 16.2 pixels using strict biofeedback, and 29.7 ± 20.9 image pixels using general biofeedback. These corresponded to visual angles ranging from 0.7° to 1.3°.ConclusionsAn integrated eye‐tracker system to assess reader eye movement and interactive viewing in relation to imaging targets demonstrated reasonable spatial accuracy for assessment of visual fixation. The head‐free movement condition with audio biofeedback performed similarly to head‐stabilized mode.
Extracellular RNA transfer from non‐malignant human cholangiocytes can promote cholangiocarcinoma growth
Ota, Yu , Takahashi, Kenji , Otake, Shin, Tamaki, Yosui , Okada, Mitsuyoshi, Aso, Kazunobu, Fujii, Satoshi , Patel, Tushar , Haneda, Masakazu , Yan, Irene, Patel, Tushar , Yan, Irene K.

FEBS Open Bio | September 12, 2021 | Volume: 11 | Issue: 12 | Pages: 3276-3292

10.1002/2211-5463.13294 | PMID 34510808 Get It

Extracellular vesicles (EV) within the cellular secretome are emerging as modulators of pathological processes involved in tumor growth through their ability to transfer donor‐derived RNA into recipient cells. While the effects of tumor and stromal cell EVs within the tumor microenvironment have been studied, less is known about the contributions of normal, nontransformed cells. We examined the impact of EVs within the cellular secretome from nonmalignant cells on transformed cell growth and behavior in cholangiocarcinoma cells. These effects were enhanced in the presence of the pro‐fibrogenic mediator TGF‐β. We identified miR‐195 as a TGF‐β responsive miRNA in normal cells that can be transferred via EV to tumor cells and regulate cell growth, invasion, and migration. The effects of miR‐195 involve modulation of the epithelial–mesenchymal transition through direct effects on the transcription factor Snail. These studies provide in vitro and in vivo evidence for the impact of normal cellular secretome on transformed cell growth, show the importance of EV RNA transfer, and identify mechanisms of EV‐mediated transfer of miRNA as a contributor to tumor development, which may provide new therapeutic opportunities for targeting human cholangiocarcinoma.
Abnormal body composition in patients with adrenal adenomas
Delivanis, Danae A. , Andrade, Maria D Hurtado, Cortes, Tiffany , Athimulam, Shobana , Khanna, Aakanksha, Atkinson, E. C., McKenzie, Travis J. , Takahashi, Naoki , Moynagh, Michael R., Hurtado Andrade, Maria D, Takahashi, Naoki , Andrade, Maria D Hurtado, Atkinson, Elizabeth, Bancos, Irina

European Journal of Endocrinology | August 18, 2021 | Volume: 185 | Issue: 5 | Pages: 653-662

10.1530/eje-21-0458 | PMID 34406976 Get It

Objective Increased visceral fat and sarcopenia are cardiovascular risk factors that may explain increased cardiovascular morbidity and frailty in patients with adrenal adenomas. Our objective was to compare body composition measurement of patients with adrenal adenomas to referent subjects without adrenal disease. Design Cross-sectional study, 2014–2018. Methods Participants were adults with nonfunctioning adrenal tumor (NFAT), mild autonomous cortisol secretion (MACS), and Cushing syndrome (CS) and age, sex, and BMI 1:1 matched referent subjects without adrenal disorders. Main outcome measures were body composition measurements calculated from abdominal CT imaging. Intra-abdominal adipose tissue and muscle mass measurements were performed at the third lumbar spine level. Results Of 227 patients with adrenal adenomas, 20 were diagnosed with CS, 76 with MACS, and 131 with NFAT. Median age was 56 years (range: 18–89), and 67% were women. When compared to referent subjects, patients with CS, MACS, and NFAT demonstrated a higher visceral fat (odds ratio (OR): 2.2 (95% CI: 0.9–6.5), 2.0 (1.3–3.2), and 1.8 (1.2–2.7) and a lower skeletal muscle area (OR: 0.01 (95% CI: 0–0.09), 0.31 (0.18–0.49), and 0.3 (1.2–2.7)) respectively. For every 1 µg/dL cortisol increase after overnight dexamethasone, visceral fat/muscle area ratio increased by 2.3 ( P = 0.02) and mean total skeletal muscle area decreased by 2.2 cm 2 ( P = 0.03). Conclusion Patients with adrenal adenomas demonstrate a lower muscle mass and a higher proportion of visceral fat when compared to referent subjects, including patients with NFAT. Even a subtle abnormality in cortisol secretion may impact health of patients with adenomas.
Ten-year all-cause death after percutaneous or surgical revascularization in diabetic patients with complex coronary artery disease
Wang, Rutao , Serruys, Patrick W. , Gao, Chao , Hara, Hironori , Takahashi, Kuniaki , Ono, Masafumi , Kawashima, Hideyuki , O’Leary, Neil , Holmes, David R. , Curzen, Nick , Geuns, Robert‐Jan van , Morel, Marie‐Angèle , Head, Stuart J., Thuijs, Daniel J.F.M. , Davierwala, Piroze , O’Brien, Timothy , Garg, Scot , Onuma, Yoshinobu , Witkowski, Adam , Curzen, Nick , Burzotta, Francesco , Kappetein, Arie Pieter , Thuijs, Daniel J F M , Garg, Scot , Serruys, Patrick W , Onuma, Yoshinobu , Witkowski, Adam , James, Stefan Karl , Kappetein, A. Pieter , Fuster, Valentı́n

European Heart Journal | August 13, 2021 | Volume: 43 | Issue: 1 | Pages: 56-67

10.1093/eurheartj/ehab441 | PMID 34405232 Get It

Abstract Aims The aim of this article was to compare rates of all-cause death at 10 years following coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI) in patients with or without diabetes. Methods and results The SYNTAXES study evaluated up to 10-year survival of 1800 patients with three-vessel disease (3VD) and/or left main coronary artery disease (LMCAD) randomized to receive either PCI or CABG in the SYNTAX trial. Ten-year all-cause death according to diabetic status and revascularization strategy was examined. In diabetics (n = 452), the risk of mortality was numerically higher with PCI compared with CABG at 5 years [19.6% vs. 13.3%, hazard ratio (HR): 1.53, 95% confidence interval (CI): 0.96, 2.43, P = 0.075], with the opposite seen between 5 and 10 years (PCI vs. CABG: 20.8% vs. 24.4%, HR: 0.82, 95% CI: 0.52, 1.27, P = 0.366). Irrespective of diabetic status, there was no significant difference in all-cause death at 10 years between patients receiving PCI or CABG, the absolute treatment difference was 1.9% in diabetics (PCI vs. CABG: 36.4% vs. 34.5%, difference: 1.9%, 95% CI: −7.6%, 11.1%, P = 0.551). Among insulin-treated patients (n = 182), all-cause death at 10 years was numerically higher with PCI (47.9% vs. 39.6%, difference: 8.2%, 95% CI: −6.5%, 22.5%, P = 0.227). Conclusions The treatment effects of PCI vs. CABG on all-cause death at 10 years in patients with 3VD and/or LMCAD were similar irrespective of the presence of diabetes. There may, however, be a survival benefit with CABG in patients with insulin-treated diabetes. The association between revascularization strategy and very long-term ischaemic and safety outcomes for patients with diabetes needs further investigation in dedicated trials. Trial registration SYNTAX: ClinicalTrials.gov reference: NCT00114972 and SYNTAX Extended Survival: ClinicalTrials.gov reference: NCT03417050.