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575 citation(s) found for "Campbell, JK".

Factors associated with levels of plasma markers of amyloid pathology and neurodegeneration in a population‐based sample
Syrjanen, Jeremy A. , Campbell, Michelle R. , Graff‐Radford, Jonathan , Petersen, Ronald C. , Algeciras‐Schimnich, Alicia , Vemuri, Prashanthi , Machulda, Mary M. , Knopman, David S. , Jack, Clifford R. , Mielke, Michelle M.

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S5 | Pages: No page available

10.1002/alz.051720 Get It

AbstractBackgroundBlood‐based biomarkers of amyloid pathology and neurodegeneration are entering clinical use. It is critical to understand what factors affect these plasma marker levels for accurate clinical interpretation. Herein we examined factors associated with plasma Ab42, Ab40, neurofilament light (NfL), total tau (T‐tau), and the ratio of Ab42 to Ab40 (Ab42/40).MethodThe plasma markers were measured for 996 participants (859 cognitively unimpaired [CU], 133 mild cognitive impairment [MCI], 4 dementia) from the Mayo Clinic Study of Aging (MCSA), aged 51 to 95 years. The Quanterix Simoa® HD‐1 analyzer was employed to measure the plasma markers using the Simoa® Neurology 3‐Plex A (N3PA) (T‐tau, Ab42, Ab40) (catalog #101995) and the Simoa® NF‐light (catalog #103180). All other data was collected during in‐person MCSA visits or abstracted from the medical record. Statistical significance was determined using an alpha level of 0.05.ResultAmong CU, all of the plasma markers showed correlation with age. T‐tau (Spearman’s rho = 0.113, p<0.001) showed the weakest correlation and NfL (rho = 0.695, p<0.001) had the strongest. Women had higher levels of T‐tau (Median women: 2.782 vs. 2.390, p<0.001) and lower Ab42/40 (0.033 vs. 0.035, p=0.024) compared to men. In linear regression models predicting z‐scored plasma markers and adjusted for age and sex, several statistically significant predictors were found. For example, higher Charlson comorbidity index and chronic kidney disease were associated with higher levels of all markers; slower gait speed was associated with higher levels for all but Ab42/40 where no relationship was seen. A higher BMI was associated with higher levels of Ab42, Ab40, and T‐tau whereas NfL tended to be lower with increased BMI. Among participants with MCI or dementia, the relationship between gait speed or chronic kidney disease with NfL and T‐tau strengthened considerably.ConclusionMultiple variables affect plasma markers of amyloid pathology and neurodegeneration among CU in the general population. Some relationships differed among MCI and dementia participants. Incorporating this information is critical for accurate interpretation of the marker levels and for the development of reference ranges.
Alzheimer’s disease CSF biomarker assays: Impact of methodology changes in clinical practice
Campbell, Michelle R. , Kian, Susan Ashrafzadeh, Petersen, Ronald C. , Bornhorst, Joshua , Algeciras‐Schimnich, Alicia

Alzheimer's & Dementia | December 31, 2021 | Volume: 17 | Issue: S5 | Pages: No page available

10.1002/alz.051426 Get It

AbstractBackgroundDecreased amyloid β1‐42 (Aβ42) and increased tau (t‐Tau and p‐Tau) concentrations in cerebrospinal fluid (CSF) reflect the pathological changes of Alzheimer’s disease (AD) and aid in the diagnosis of AD dementia. In the United States, the ADmark® assay has been almost exclusively used for the measurement of these biomarkers in clinical practice. Recently, our institution switched from the ADmark® assay to the Roche Elecsys assays. The goal of this study was to determine if differences exist between these methods in classification of patients as having changes indicative of AD pathology.MethodPatients undergoing ADMark® testing (n= 73) were recruited to participate in this IRB‐approved study. Two simultaneous CSF aliquots were obtained. For ADMark®, 2.0mL were collected into a 5mL polypropylene (PP) tube and shipped frozen to Athena Diagnostics per collection instructions for testing (Innotest® immunoassays for Aβ42, t‐Tau, and p‐Tau). For the Roche Elecsys assays (Aβ42, t‐Tau, and p‐Tau), 2.0mL were collected into a 2.5mL low bind PP tube, frozen, and then tested at Mayo Clinic Laboratories. Comparative analysis was performed between the two testing methodologies and to clinical findings.ResultOverall concordance between the ADMark® Aβ42/t‐Tau index (ATI) and Roche p‐Tau/Aβ42 was 89% with 8 (11%) discrepant cases. Four cases were classified as normal by the Roche p‐Tau/Aβ42 but borderline (n=3) or abnormal (n=1) by ADMark® ATI. Four cases were classified as abnormal by the Roche p‐Tau/Aβ42 and borderline by ADMark® ATI. In these cases, the normal Roche p‐Tau/Aβ42 result was most consistent with clinical diagnosis. When compared to clinical diagnosis, cases with clinical suspicion of AD dementia were abnormal in 84% and 92% of cases with the ADMark® ATI and the Roche p‐Tau/Aβ42, respectively. In cases without clinical suspicion of AD dementia, results were abnormal in 19% and 21% of cases with the ADMark® ATI and the Roche p‐Tau/Aβ42, respectively. There were 2 cases with clinical suspicion of AD dementia and 5 cases without suspicion of AD dementia that were classified as borderline by ADMark® ATI.ConclusionRoche p‐Tau/Aβ42 showed comparable performance to ADMark® ATI when correlating results to clinical diagnosis of AD dementia.
Abstract 1122‐000207: Mechanical Thrombectomy of the Fetal Posterior Cerebral Artery
Abdalkader, Mohamad , Sahoo, Anurag , Brinjikji, Waleed , Dabus, Guilherme , Raz, Eytan , Laiso, Antonio , Maud, Alberto , Galván‐Fernández, Jorge , Schüller, Miguel , Khandelwal, Priyank , Kiley, Nicole L. , Zaidat, Osama O. , Dmytriw, Adam A. , Dabus, Guilherme C. , Renieri, Leonardo , Martínez‐Galdámez, Mario , Al‐Mufti, Fawaz , Amuluru, Krishna , Fifi, Johanna T , Majidi, Shahram , Moore, Justin M. , Ortega-Gutierrez, Santiago , Hassan, Ameer E , Siegler, James E. , Nagel, Simon , Nguyen, Thanh N.

Stroke: Vascular and Interventional Neurology | December 22, 2021 | Volume: 1 | Issue: S1 | Pages: No page available

10.1161/svin.01.suppl_1.000207 Get It

Introduction : Fetal posterior cerebral artery (FPCA) occlusion is a rare but potentially disabling cause of stroke. While endovascular treatment is established for acute large vessel occlusion (LVO) stroke, FPCA occlusions were excluded from acute ischemic stroke trials. We aim to report the feasibility, safety and outcome of mechanical thrombectomy (MT) in acute FPCA occlusions. Methods : We performed a multi‐center retrospective review of consecutive patients who underwent MT of acute FPCA occlusion. Primary FPCA occlusion was defined as an occlusion that was identified on the pre‐procedure CT angiogram or baseline angiogram whereas a secondary FPCA occlusion was defined as an occlusion that occurred secondary to embolization to a new territory after recanalization of a different LVO. Demographics, clinical presentation, imaging findings, endovascular treatment and outcome were reviewed. Results : There were twenty‐five patients with acute FPCA occlusion who underwent MT, distributed across 14 centers. Median NIHSS on presentation was 16. There were 76% (19/25) of patients who presented with primary FPCA occlusion and 24% (6/25) of patients who had a secondary FPCA occlusion. The configuration of the FPCA was full in 64% patients and partial or “fetal‐type” in 36% of patients. FPCA occlusion was missed on initial CTA in 21% of patients with primary FPCA occlusion (4/19). The site of occlusion was posterior communicating artery in 52%, P2 segment in 40% and P3 in 8% of patients. TICI 2b/3 reperfusion was achieved in 96% of FPCA patients. There were no intra‐procedural complications. At 90 days, 48% (12/25) were functionally independent as defined by mRS≤2. Conclusions : Endovascular treatment of acute FPCA occlusion is safe and technically feasible. A high index of suspicion is important to detect occlusion of the fetal posterior cerebral artery in patients presenting with anterior circulation stroke syndrome and patent anterior circulation.
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

Validated biomarker assays confirm that ARID1A loss is confounded with MMR deficiency, CD8
Heinze, Karolin , Nazeran, Tayyebeh M., Lee, Sandra , Krämer, Pauline , Leung, Samuel , Kang, Eun Young , Meagher, Nicola S. , Kennedy, Catherine J. , Boros, Jessica , Kommoss, Friedrich, Vollert, Hans‐Walter, Harter, Philipp , Kraemer, Bernhard , Staebler, Annette , Heublein, Sabine , Sinn, Hans‐Peter , Singh, Naveena , Laslavic, Angela , Olawaiye, Alex, Moysich, Kirsten B. , Sharma, Raghwa , Brand, Alison H. , Harnett, Paul R. , DeFazio, Anna , Fortner, Renée T. , Lener, Marcin , Tołoczko‐Grabarek, Aleksandra, Coulson, Penny , El‐Bahrawy, Mona , Jones, Michael E. , Schoemaker, Minouk J. , Gayther, Simon A. , Carney, Michael E. , Shvetsov, Yurii B. , Hernandez, Brenda Y. , Goodman, Marc T. , Mateoiu, Constantina , Linder, Anna , Kelemen, Linda E. , Widschwendter, Martin , Menon, Usha , Alsop, Jennifer , Shah, Mitul , Jimenez‐Liñan, Mercedes , Brenton, James D. , Cushing‐Haugen, Kara L. , Huntsman, David G. , Nelson, Gregg , Tinker, Anna V. , Goode, Ellen L. , Ramus, Susan J. , Kommoss, Stefan , Talhouk, Aline , Köbel, Martin , Anglesio, Michael S. , Campbell, Ian G , Gilks, C. Blake , Köbel, Martin , Anglesio, Michael S , Fazio, Anna de , Fortner, Renée T , Ramus, Susan J , Menon, Usha , Brenton, James D , Moysich, Kirsten , Kennedy, Catherine J , Sinn, Peter , Widschwendter, Martin , Jones, Michael E , Brand, Alison H , Nelson, Gregg S , El-Bahrawy, Mona A , Harnett, Paul R , Hernandez, Brenda Y , Schoemaker, Minouk J , Goodman, Marc T , Linder, Anna , Cairns, Evan S. , Chiu, Derek S , Heitz, Florian , Bois, Andreas du , Grube, Marcel , Kommoss, Felix , Elishaev, Esther , Modugno, Francesmary , Lubiński, Jan , Cybulski, Cezary , Gronwald, Helena , Gronwald, Jacek , Swerdlow, Anthony J. , Gorringe, Kylie L. , Campbell, Ian , Cook, Linda S. , Wilkens, Lynne R. , Sundfeldt, Karin , Gentry‐Maharaj, Aleksandra , Bolton, Kelly L. , Pharoah, Paul D.P. , Harris, Holly R. , Doherty, Jennifer A. , Ghatage, Prafull , Lee, Cheng‐Han , Nelson, Brad H.

The Journal of Pathology | December 13, 2021 | Volume: 256 | Issue: 4 | Pages: 388-401

10.1002/path.5849 | PMID 34897700 Get It

Abstract ARID1A (BAF250a) is a component of the SWI/SNF chromatin modifying complex, plays an important tumour suppressor role, and is considered prognostic in several malignancies. However, in ovarian carcinomas there are contradictory reports on its relationship to outcome, immune response, and correlation with clinicopathological features. We assembled a series of 1623 endometriosis‐associated ovarian carcinomas, including 1078 endometrioid (ENOC) and 545 clear cell (CCOC) ovarian carcinomas, through combining resources of the Ovarian Tumor Tissue Analysis (OTTA) Consortium, the Canadian Ovarian Unified Experimental Resource (COEUR), local, and collaborative networks. Validated immunohistochemical surrogate assays for ARID1A mutations were applied to all samples. We investigated associations between ARID1A loss/mutation, clinical features, outcome, CD8 + tumour‐infiltrating lymphocytes (CD8 + TILs), and DNA mismatch repair deficiency (MMRd). ARID1A loss was observed in 42% of CCOCs and 25% of ENOCs. We found no associations between ARID1A loss and outcomes, stage, age, or CD8 + TIL status in CCOC. Similarly, we found no association with outcome or stage in endometrioid cases. In ENOC, ARID1A loss was more prevalent in younger patients ( p = 0.012) and was associated with MMRd ( p < 0.001) and the presence of CD8 + TILs ( p = 0.008). Consistent with MMRd being causative of ARID1A mutations, in a subset of ENOCs we also observed an association with ARID1A loss‐of‐function mutation as a result of small indels ( p = 0.035, versus single nucleotide variants). In ENOC, the association with ARID1A loss, CD8 + TILs, and age appears confounded by MMRd status. Although this observation does not explicitly rule out a role for ARID1A influence on CD8 + TIL infiltration in ENOC, given current knowledge regarding MMRd, it seems more likely that effects are dominated by the hypermutation phenotype. This large dataset with consistently applied biomarker assessment now provides a benchmark for the prevalence of ARID1A loss‐of‐function mutations in endometriosis‐associated ovarian cancers and brings clarity to the prognostic significance. © 2021 The Pathological Society of Great Britain and Ireland.
PEDIGREE DEMONSTRATING A SEX-LINKED RECESSIVE CONDITION CHARACTERIZED BY DRAINING EARS, ECZEMATOID DERMATITIS AND BLOODY DIARRHEA
Aldrich, Robert A., STEINEBERG, ARTHUR G., CAMPBELL, DONALD C., CAMPBELL, DONALD C.

Pediatrics | December 11, 2021 | Volume: 13 | Issue: 2 | Pages: 133-139

10.1542/peds.13.2.133 Get It

Genetic analysis of the family of an individual suffering from what appeared to be secondary thrombocytopenic purpura indictated that: 1. Sixteen of 40 male infants died. 2. Ten of these, including the proband, were known to have suffered from draining ears, eczematoid dermatitis and bloody diarrhea. 3. The pattern of deaths agrees with the assumption that a sex-linked recessive gene is responsible for the primary deviation which leads to the death of these infants.
Genetic variants associated with circulating C‐reactive protein levels and colorectal cancer survival: Sex‐specific and lifestyle factors specific associations
Huang, Yu‐Han , Hua, Xinwei , Labadie, Julia , Harrison, Tabitha A. , Dai, James Y. , Lindström, Sara , Berndt, Sonja I. , Buchanan, Daniel D. , Casey, Graham , Gallinger, Steven , Gunter, Marc J. , Hoffmeister, Michael , Diergaarde, Brenda , Slattery, Martha L. , Brenner, Hermann , Chang‐Claude, Jenny , Joshi, Amit D. , Pai, Rish K. , Peters, Ulrike , Buchanan, Daniel D , Hoffmeister, Michael , Slattery, Martha L , Newcomb, Polly A. , Gunter, Marc J , Harrison, Tabitha A , Brenner, Hermann , Dai, James Y , Diergaarde, Brenda , Lin, Yi , Campbell, Peter T. , Jenkins, Mark A. , Sakoda, Lori C. , Schoen, Robert E. , White, Emily E. , Giles, Graham G. , Ma, Wenjie , Chan, Andrew T.

International Journal of Cancer | December 10, 2021 | Volume: 150 | Issue: 9 | Pages: 1447-1454

10.1002/ijc.33897 | PMID 34888857 Get It

AbstractElevated blood levels of C‐reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC‐specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI‐EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC‐specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow‐up, 3547 (64.8%) were due to CRC. No variants were associated with CRC‐specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC‐specific mortality (corrected Pinteraction = .0004); women had higher CRC‐specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04‐1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82‐0.94). There was no evidence of interactions between CRP‐associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP‐associated variant in relation to CRC‐specific mortality. Future replication of this association and functional annotation of the variant are needed.
Interactions Between Folate Intake and Genetic Predictors of Gene Expression Levels Associated with Colorectal Cancer Risk
Petersen, Paneen S., Weinstein, Stephanie J. , Figueiredo, Jane C. , Casey, Graham , Peters, Ulrike , Slattery, Martha L. , Li, Li , Gruber, Stephen B. , Woods, Michael O. , Gallinger, Steven , Berndt, Sonja I. , Nan, Hongmei , Nassir, Rami , Lindor, Noralane M. , Kim, Andrew E, Gauderman, W. James, Nassir, Rami , Nan, Hongmei , Haas, Cameron B. , Su, Yu-Ru , Wang, Xiaoliang , Bien, Stephanie A. , Lin, Yi , Albanes, Demetrius , Jenkins, Mark A. , Newcomb, Polly A. , Marchand, Loı̈c Le , Campbell, Peter T. , Moreno, Vı́ctor , Potter, John D. , Sakoda, Lori C. , Chan, Andrew T. , Giles, Graham G. , Milne, Roger L. , Rennert, Gad , Hayes, Richard B. , Huang, Wen‐Yi , Wolk, Alicja , White, Emily , Lewinger, Juan Pablo , Conti, David V. , Buchanan, Daniel D.

No container title available | December 9, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-1097039/v1 Get It

Abstract Background Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (GxE) interactions and may provide information on the underlying biological pathway. Objective We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. Methods We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based GxE approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4,839 genes with available genetically predicted expression. We meta-analyzed results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. Results We found suggestive evidence of interaction with folate intake for genes including glutathione S-Transferase Alpha 1 (GSTA1; p=4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p=4.3E-4), and Aspartylglucosaminidase (AGA: p=4.5E-4). Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein. Conclusion We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk.
REcognizing DElirium in geriatric Emergency Medicine: The REDEEM risk stratification score
Silva, Lucas Oliveira J. e , Stanich, Jessica A. , Jeffery, Molly M. , Mullan, Aidan F. , Bower, Susan M. , Campbell, Ronna L. , Rabinstein, Alejandro A. , Pignolo, Robert J. , Bellolio, Fernanda , Oliveira J E Silva, Lucas , Jeffery, Molly Moore , Bellolio, M Fernanda , Campbell, Ronna L , Rabinstein, Alejandro A , Mullan, Aidan , Bower, Susan M.

Academic Emergency Medicine | December 6, 2021 | Volume: 29 | Issue: 4 | Pages: 476-485

10.1111/acem.14423 | PMID 34870884 Get It

Abstract Objective The objective was to derive a risk score that uses variables available early during the emergency department (ED) encounter to identify high‐risk geriatric patients who may benefit from delirium screening. Methods This was an observational study of older adults age ≥ 75 years who presented to an academic ED and who were screened for delirium during their ED visit. Variable selection from candidate predictors was performed through a LASSO‐penalized logistic regression. A risk score was derived from the final prediction model, and predictive accuracy characteristics were calculated with 95% confidence intervals (CIs). Results From the 967 eligible ED visits, delirium was detected in 107 (11.1%). The area under the curve for the REcognizing DElirium in Emergency Medicine (REDEEM) score was 0.901 (95% CI = 0.864–0.938). The REEDEM risk score included 10 different variables (seven based on triage information and three obtained during early history taking) with a score ranging from –3 to 66. Using an optimal cutoff of ≥11, we found a sensitivity of 84.1% (90 of 107 ED delirium patients, 95% CI = 75.5%–90.2%) and a specificity of 86.6% (745 of 860 non‐ED delirium patients, 95% CI = 84.1%–88.8%). A lower cutoff of ≥5 was found to minimize false negatives with an improved sensitivity at 91.6% (98 of 107 ED delirium patients, 95% CI = 84.2%–95.8%). Conclusion A risk stratification score was derived with the potential to augment delirium recognition in geriatric ED patients. This has the potential to assist on delirium‐targeted screening of high‐risk patients in the ED. Validation of REDEEM, however, is needed prior to implementation.
Pediatric Hodgkin Lymphoma, Version 3.2021
Hiniker, Susan M. , Benya, Ellen C. , Bobbey, Adam J. , Cooper, Stacy , Cuglievan, Branko , Isenalumhe, Leidy , Kelly, Kara M. , Kersun, Leslie S. , Lamble, Adam J. , Larrier, Nicole, Magee, J.Fergall, Oduro, Kwadwo A. , Pacheco, Martha, Roberts, Kenneth B. , Smith, Christine M. , Sohani, Aliyah R. , Trovillion, Erin , Walling, Emily , Burns, Jennifer L. , Campbell, Mallory, Smith, Christine M , Flerlage, Jamie E. , Armenian, Saro H. , Chang, Vivian Y. , Coulter, Donald W. , Hoppe, Bradford S. , Magee, Jeffrey, Price, Anita P. , Xavier, Ana C

Journal of the National Comprehensive Cancer Network | November 24, 2021 | Volume: 19 | Issue: 6 | Pages: 733-754

10.6004/jnccn.2021.0027 | PMID 34214968 Get It

Hodgkin lymphoma (HL) is a highly curable form of cancer, and current treatment regimens are focused on improving treatment efficacy while decreasing the risk of late effects of treatment. The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for pediatric HL provide recommendations on the workup, diagnostic evaluation, and treatment of classic HL, including principles of pathology, imaging, staging, systemic therapy, and radiation therapy. This portion of the NCCN Guidelines focuses on the management of pediatric classic HL in the upfront and relapsed/refractory settings.