Citations

Mayo Clinic

Clear

1157 citation(s) found for "Báez, Sandra".

The path to a better biomarker: application of a risk management framework for the implementation of PD‐L1 and TILs as immuno‐oncology biomarkers in breast cancer clinical trials and daily practice
González-Ericsson, Paula I. , Stovgaard, Elisabeth Specht , Reisenbichler, Emily , Kos, Zuzana , Carter, Jodi M. , Michiels, Stefan , Quesne, John Le , Lænkholm, Anne‐Vibeke , Adam, Julien , Bartlett, John MS, Rimm, David L. , Quinn, Cecily , Cree, Ian A. , Hida, Akira I. , Haynes, Harry R. , Frahm, Isabel, Acosta‐Haab, Gabriela, Balancin, Marcelo Luiz , Bellolio, Enrique , Yang, Wentao , Kirtani, Pawan , Sugie, Tomoharu , Ehinger, Anna , Castaneda, Carlos, Kok, Marleen , McArthur, Heather L. , Siziopikou, Kalliopi P. , Fineberg, Susan , Gown, Allen M. , Viale, Giuseppe , Schnitt, Stuart J. , Pruneri, Giancarlo , Penault‐Llorca, Frederique, Hewitt, Stephen M. , Thompson, E. Aubrey , Allison, Kimberly H. , Symmans, W. Fraser , Bellizzi, Andrew M. , Brogi, Edi , Moore, David A. , Larsimont, Denis , Dillon, Deborah , Broeckx, Glenn , Bairi, Khalid El , Cimino‐Mathews, Ashley , Adams, Sylvia , Liu, S, Loibl, Sibylle , Chen, I‐Chun , Juco, Jonathan, Blackley, Elizabeth F. , Demaria, Sandra , Leon‐Ferre, Roberto A. , Zardavas, Dimitrios, Emancipator, Kenneth , Ely, Scott , Loi, Sherene , Salgado, Roberto , Group, International Immuno‐Oncology Biomarker Working, Cree, Ian , Haynes, Harry R , Balancin, Marcelo , Ehinger, Anna , Lazar, Alexander J , Broeckx, Glenn , El Bairi, Khalid , Leon-Ferre, Roberto, Gonzalez-Ericsson, Paula I , Bellizzi, Andrew M , Symmans, W Fraser , Loi, Sherene , Pruneri, Giancarlo , Rimm, David , Carter, Jodi , Sua, Luz Fernanda , Nielsen, Torsten O. , Fox, Stephen B. , Bartlett, John MS, Peeters, Dieter J. E. , Dieci, Maria Vittoria , Vincent‐Salomon, Anne , Balko, Justin M. , Badve, Sunil , Penault-Llorca, Frederique Madeleine , Lazar, Alexander J. , Lien, Huang‐Chun , Goetz, Matthew P. , Harbeck, Nadia , Sotiriou, Christos P. , Lakhani, Sunil R. , Denkert, Carsten , Gluz, Oleg , Sanders, Melinda E. , Group, International Immuno‐Oncology Biomarker Working

The Journal of Pathology | March 4, 2020 | Volume: 250 | Issue: 5 | Pages: 667-684

10.1002/path.5406 | PMID 32129476 Get It

AbstractImmune checkpoint inhibitor therapies targeting PD‐1/PD‐L1 are now the standard of care in oncology across several hematologic and solid tumor types, including triple negative breast cancer (TNBC). Patients with metastatic or locally advanced TNBC with PD‐L1 expression on immune cells occupying ≥1% of tumor area demonstrated survival benefit with the addition of atezolizumab to nab‐paclitaxel. However, concerns regarding variability between immunohistochemical PD‐L1 assay performance and inter‐reader reproducibility have been raised. High tumor‐infiltrating lymphocytes (TILs) have also been associated with response to PD‐1/PD‐L1 inhibitors in patients with breast cancer (BC). TILs can be easily assessed on hematoxylin and eosin–stained slides and have shown reliable inter‐reader reproducibility. As an established prognostic factor in early stage TNBC, TILs are soon anticipated to be reported in daily practice in many pathology laboratories worldwide. Because TILs and PD‐L1 are parts of an immunological spectrum in BC, we propose the systematic implementation of combined PD‐L1 and TIL analyses as a more comprehensive immuno‐oncological biomarker for patient selection for PD‐1/PD‐L1 inhibition‐based therapy in patients with BC. Although practical and regulatory considerations differ by jurisdiction, the pathology community has the responsibility to patients to implement assays that lead to optimal patient selection. We propose herewith a risk‐management framework that may help mitigate the risks of suboptimal patient selection for immuno‐therapeutic approaches in clinical trials and daily practice based on combined TILs/PD‐L1 assessment in BC. © 2020 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Food and Drug Administration Malfunction Recalls of Left Ventricular Assist Devices
Baruqui, Diego Lugo , Maning, Jennifer , Chaparro, Sandra , Lugo Baruqui, Diego

ASAIO Journal | February 24, 2020 | Volume: 66 | Issue: 7 | Pages: 739-745

10.1097/mat.0000000000001118 | PMID 32091417 Get It

Left ventricular assist devices (LVADs) are being increasingly implanted given the increasing prevalence of patients with advanced heart failure stages. However, they are not exempt from device malfunctions. A PubMed search for the key words (left ventricular assist device malfunction) (ventricular assist system malfunction) was performed. We identified 28 publications in the US Food and Drug Administration (FDA) website database that addressed LVAD malfunction. Twenty-nine FDA recalls were identified regarding LVAD malfunctions: 17 regarding HeartWare ventricular assist device, six for HeartMate II, three for HeartMate 3, and three for total artificial heart. Mechanisms involved in LVAD malfunction include battery malfunction, loose driveline connector, malfunction of the system controller, loose power supply connector ports, malfunction of the driveline splice kit, problems with the percutaneous lead connection, disconnection of the bend relief and outflow graft and outflow graft occlusion among others. Multiple mechanisms could be linked to LVAD malfunction. However, multiple device modifications have been developed over the past decade to avoid recurrent malfunctions. Constant improvements and research in biotechnology are needed to prevent these complications. It remains to be seen if newer generation devices will lead to improved patient outcomes over the long term.
Acute Interstitial Nephritis and Checkpoint Inhibitor Therapy
Manohar, Sandhya , Ghamrawi, Ranine , Chengappa, Madhuri, Goksu, Busra N Bacik , Kottschade, Lisa A. , Finnes, Heidi D. , Dronca, Roxana , Leventakos, Konstantinos , Herrmann, Joerg , Herrmann, Sandra M.

Kidney360 | February 18, 2020 | Volume: 1 | Issue: 1 | Pages: 16-24

10.34067/kid.0000152019 | PMID 35372854 Get It

Background The objective of this case cohort study was to describe our experience in the care of patients with immune checkpoint inhibitor–related acute interstitial nephritis (ICI-AIN) including rechallenge. Methods A descriptive case series of patients that received an ICI and had an AKI (defined as a ≥1.5-fold increase in serum creatinine) as an immune-related adverse event (irAE), with biopsy-proven or clinically suspected ICI-AIN from January 1, 2014 to December 1, 2018 at Mayo Clinic, Rochester. We studied details regarding diagnosis, clinical course, management, and outcomes of rechallenge of immunotherapy. Complete response (CR) was defined as return of kidney function back to baseline or <0.3 mg/dl above baseline creatinine; partial response (PR) was defined as creatinine >0.3 mg/dl from baseline, but less than twofold above the baseline by the end of steroid course. Results A total of 14 cases of biopsy-proven (35%) or clinically suspected (65%) ICI-AIN was identified. All patients had their ICI withheld and 12 patients received steroids. Steroid regimens were highly variable. The starting equivalent dose of prednisone was higher in those that had a CR versus a PR (median 0.77 mg/kg versus 0.66 mg/kg). Proton pump inhibitors (PPIs) were used in 11 patients and were stopped in eight (73%) patients at the time of the AKI event. A CR was seen in five (63%) of the eight patients who discontinued PPIs. Rechallenge was attempted in four of the 14 patients: three were successful with no recurrence of AKI, but one patient had recurrent AKI and fatal pneumonitis. Conclusions Careful review, withholding ICI and concomitant known AIN-inducing medications, along with prompt initial steroid management were the key in complete renal kidney recovery. A kidney biopsy should be strongly considered. Rechallenge of immunotherapy after a kidney irAE, although challenging, is possible and would need careful evaluation on an individual basis. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/K360/2020_01_30_KID0000152019.mp3
Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies
Munn‐Chernoff, Melissa A. , Chou, Yi‐Ling, Coleman, Jonathan R. I. , Thornton, Laura M. , Walters, Raymond K. , Yılmaz, Zeynep , Baker, Jessica H. , Hübel, Christopher , Medland, Sarah E. , Hinney, Anke , Leppä, Virpi , Mattheisen, Manuel , Ripke, Stephan , Yao, Shuyang , Giusti‐Rodríguez, Paola , Hanscombe, Ken B. , Adan, Roger A.H. , Ando, Tetsuya , Berrettini, Wade H., Boehm, Ilka , Boni, Claudette, Perica, Vesna Boraska , Buehren, Katharina, Burghardt, Roland , Cassina, Matteo , Cichon, Sven , Clementi, Maurizio , Courtet, Philippe, Crowley, James J. , Danner, Unna N. , Davis, Oliver S. P. , Zwaan, Martina de, Degortes, Daniela, DeSocio, Janiece E., Dick, Danielle M., Dikeos, Dimitris, Dina, Christian , Dmitrzak‐Węglarz, Monika , Docampo, Elisa, Duncan, Laramie E. , Egberts, Karin , Ehrlich, Stefan , Escaramís, Geòrgia, Estivill, Xavier , Farmer, Anne, Favaro, Angela , Fernández‐Aranda, Fernando , Fichter, Manfred M., Fischer, Krista , Föcker, Manuel , Foretová, Lenka , Forstner, Andreas J. , Franklin, Christopher S., Gallinger, Steven , Giegling, Ina , Giuranna, Johanna, Gonidakis, Fragiskos , Gorwood, Philip , Mayora, Monica Gratacos, Guo, Yiran , Håkonarson, Håkon , Hatzikotoulas, Konstantinos , Hebebrand, Johannes , Helder, Sietske G., Herpertz‐Dahlmann, Beate, Herzog, Wolfgang , Huckins, Laura M. , Hudson, James I. , Imgart, Hartmut , Inoko, Hidetoshi , Janout, Vladimí­r , Jiménez‐Múrcia, Susana , Kalsi, Gursharan , Kaminská, Deborah , Karwautz, Andreas , Kas, Martien J. , Keski‐Rahkonen, Anna , Kiezebrink, Kirsty , Kim, Youl‐Ri , Klump, Kelly L. , Knudsen, Gun Peggy , Via, Maria C. La, Hellard, Stéphanie Le , Levitan, Robert D., Lilenfeld, Lisa , Lin, Bochao , Lissowska, Jolanta , Luykx, Jurjen J. , Magistretti, Pierre J. , Maj, Mario , Männik, Katrin , Marsal, Sara , Marshall, Christian R. , McDevitt, Sara , McGuffin, Peter, Meulenbelt, Ingrid, Navratilova, Marie, Ντάλλα, Ιωάννα , O’Toole, Julie K., Padyukov, Leonid , Palotie, Aarno , Pantel, Jacques , Papežová, Hana , Pinto, Dalila , Rabionet, Raquel , Raevuori, Anu , Ramoz, Nicolás , Reichborn‐Kjennerud, Ted , Ricca, Valdo , Ritschel, Franziska , Roberts, Marion, Rotondo, Alessandro, Rujescu, Dan, Rybakowski, Filip , Scherer, Stephen W. , Schmidt, Ulrike , Schork, Nicholas J. , Schosser, Alexandra , Šlachtová, Lenka , Landt, M , Slopien, Agnieszka, Sorbi, Sandro , Świątkowska, Beata , Szatkiewicz, Jin P., Tachmazidou, Ioanna, Tenconi, Elena, Tortorella, Alfonso , Tozzi, Federica, Treasure, Janet , Tziouvas, Konstantinos , Elburg, Annemarie , Furth, Eric F. van , Wagner, Gudrun , Walton, Esther , Widén, Elisabeth , Zerwas, Stephanie , Zipfel, Stephan, Bergen, Andrew W. , Brandt, Harry, Crawford, Steven , Halmi, Katherine A. , Johnson, Craig, Kaplan, Allan S. , Kaye, Walter H. , Mitchell, James E. , Olsen, Catherine M. , Pedersen, Nancy L. , Strober, Michael, Whiteman, David C. , Woodside, D. Blake , Grove, Jakob , Henders, Anjali K. , Larsen, Janne Tidselbak , Petersen, Liselotte , Jordan, Jennifer , Kennedy, Martin A. , Birgegård, Andreas , Landén, Mikael , Polimanti, Renato , McClintick, Jeanette N. , Adkins, Amy , Alıev, Fazil , Bacanu, Silviu‐Alin , Batzler, Anthony , Bertelsen, Sarah , Chen, Li‐Shiun , Degenhardt, Franziska , Docherty, Anna R. , Edwards, Alexis C. , Foo, Jerome C. , Fox, Louis , Frank, Josef , Hack, Laura M. , Hartmann, Annette M. , Hartz, Sarah M. , Hodgkinson, Colin A. , Hottenga, Jouke‐Jan, Konte, Bettina , Lahti, Jari , Lahti‐Pulkkinen, Marius , Ligthart, Lannie , Loukola, Anu , Maher, Brion S. , Mbarek, Hamdi , McIntosh, Andrew M. , McQueen, Matthew B. , Meyers, Jacquelyn L. , Milaneschi, Yuri , Palviainen, Teemu , Ryu, Euijung , Saccone, Nancy L. , Salvatore, Jessica E. , Streit, Fabian , Wang, Jen‐Chyong , Webb, Bradley T. , Wetherill, Leah , Wills, Amanda G. , Zhou, Hang , Boardman, Jason D., Chen, Danfeng , Copeland, William , Culverhouse, Robert , Dahmen, Norbert, Domingue, Benjamin W. , Frye, Mark A. , Gäebel, Wolfgang , Ising, Marcus, Keyes, Margaret A., Kiefer, Falk , Koller, Gabriele , Kuperman, Samuel , Lucae, Susanne , Lynskey, Michael T. , Maier, Wolfgang , Müller‐Myhsok, Bertram , Preuss, Ulrich W. , Räikkönen, Katri , Reynolds, Maureen , Ridinger, Monika , Schuckit, Marc A. , Soyka, Michael , Wodarz, Norbert , Zill, Peter , Adkins, Daniel E. , Bucholz, Kathleen K. , Diazgranados, Nancy , Goate, Alison , Goldman, David , Hancock, Dana B. , Hewitt, John K. , Johnson, Eric O. , Krauter, Kenneth , Lind, Penelope A. , McGue, Matt , MacKillop, James , Madden, Pamela A. F. , Maes, Hermine H. , Magnusson, Patrik K. E. , Nelson, Elliot C. , Nöthen, Markus M. , Penninx, Brenda W.J.H. , Porjesz, Bernice , Rice, John P. , Rose, Richard J. , Shen, Pei‐Hong , Silberg, Judy L. , Tarter, Ralph E. , Vrieze, Scott , Zhao, Hongyu , Neale, Benjamin M. , Wade, Tracey , Sullivan, Patrick F., Kaprio, Jaakko , Breen, Gerome , Hottenga, Jouke‐Jan , Hakonarson, Hakon , Lissowska, Jolanta , Kennedy, Martin A , Ehrlich, Stefan , Hottenga, Jouke-Jan , Walton, Esther , Cichon, Sven , Luykx, Jurjen J , Nöthen, Markus M , Le Hellard, Stephanie , Penninx, Brenda W J H , Medland, Sarah E , Rabionet, Raquel , Estivil, Xavier , Padyukov, Leonid , Świątkowska, Beata , Dina, Christian , Palotie, Aarno V. , Ripke, Stephan , Whiteman, David C , Scherer, Stephen W , Tortorella, Alfonso , Streit, Fabian , Egberts, Karin , Goate, Alison M , Docherty, Anna R , Johnson, Eric O , Coleman, Jonathan Ri , Johnson, Emma C. , Gordon, Scott D. , Watson, Hunna J. , Gaspar, Héléna A. , Bryois, Julien , Alfredsson, Lars , Andreassen, Ole A. , Boehm, Ilka , Cone, Roger D. , Courtet, Philippe , Crow, Scott J. , Dedoussis, George , Dick, Danielle M. , Dikeos, Dimitris , Escaramís, Geòrgia , Esko, Tõnu , Forzan, Monica , Guillaume, Sébastien , Hauser, Joanna , Herms, Stefan , Herpertz-Dahlmann, Beate , Julià, Antonio , Karhunen, Leila J. , Kennedy, James L. , Li, Dong , Mattingsdal, Morten , Metspalu, Andres , Micali, Nadia , Mitchell, Karen S. , Monteleone, Alessio Maria , Monteleone, Palmiero , Nacmias, Benedetta , Ophoff, Roel A. , Ripatti, Samuli , Roberts, Marion , Santonastaso, Paolo , Scherag, André , Seitz, Jochen , Slagboom, P. Eline , Tenconi, Elena , Τσίτσικα, Άρτεμις , Tyszkiewicz‐Nwafor, Marta , Zeggini, Eleftheria , Boden, Joseph M. , Horwood, L. John , Pearson, John F , Werge, Thomas Mears , Parker, Richard , Lichtenstein, Paul , Norring, Claes E. A. , Mortensen, Preben Bo , Biernacka, Joanna M. , Bigdeli, Tim B. , Clarke, Toni‐Kim , Heilmann‐Heimbach, Stefanie , Hoffmann, Per , Lai, Dongbing , Peterson, Roseann Elizabeth , Sanchez-Roige, Sandra , Schwandt, Melanie L. , Sherva, Richard , Strohmaier, Jana , Thomas, Nathaniel , Wedow, Robbee , Boardman, Jason D., Choi, Doo‐Sup , Degenhardt, Louisa J , Hayward, Caroline , Kramer, John R. , Mann, Karl F , Männistö, Satu , Murray, Alison D. , Nurnberger, John I , Scherbaum, Norbert , Treutlein, Jens , Witt, Stephanie H. , Boomsma, Dorret I , Bierut, Laura Jean , Brown, Sandra A. , Costello, E. Jane , Wit, Harriet de , Eriksson, Johan G. , Farrer, Lindsay A. , Foroud, Tatiana , Gillespie, Nathan A. , Grucza, Richard A. , Harris, Kathleen Mullan , HESSELBROCK, VICTOR M. , Hopfer, Christian Jean , Iacono, William G. , Karpyak, Victor M. , Kendler, Kenneth S. , Kranzler, Henry R. , Palmer, Abraham A. , Rietschel, Marcella , Riley, Brien P. , Stallings, Michael C. , Vanyukov, Michael M. , Wall, Tamara L. , Whitfield, John B. , Heath, Andrew C. , Montgomery, Grant W. , Martin, Nicholas G. , Gelernter, Joel E. , Edenberg, Howard J , Bulik, Cynthia Marie , Agrawal, Arpana , Webb, Bradley T.

Addiction Biology | February 17, 2020 | Volume: 26 | Issue: 1 | Pages: No page available

10.1111/adb.12880 | PMID 32064741 Get It

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.
History and evolution of regional anesthesiology and acute pain medicine fellowship training
Shapiro, David , Hargett, Mary J. , Neal, Joseph M. , Mariano, Edward R. , Liguori, Gregory A., Shapiro, David Michael , Mariano, Edward R , Kopp, Sandra L.

Regional Anesthesia & Pain Medicine | January 30, 2020 | Volume: 45 | Issue: 4 | Pages: 311-314

10.1136/rapm-2019-100915 | PMID 32001624 Get It

Introduction In 2016, individual training programs in regional anesthesiology and acute pain medicine (RA/APM) became eligible for accreditation by the Accreditation Council for Graduate Medical Education (ACGME), thereby culminating a process that began 15 years earlier. Herein, we review the origins of regional anesthesia training in the USA, the events leading up to accreditation and the current state of the fellowship. Methods We reviewed pertinent literature on the historical aspects of RA/APM in the USA, related subspecialty training and the formation and current state of RA/APM fellowship training programs. Additionally, a survey was distributed to the directors of the 74 RA/APM fellowships that existed as of 1 January 2017 to gather up-to-date, program-specific information. Results The survey yielded a 76% response rate. Mayo Clinic Rochester and Virginia Mason Medical Center likely had the first structured RA/APM fellowships with formalized curriculums and stated objectives, both starting in 1982. Most programs (86%), including ACGME and non-ACGME fellowships, came into existence after the year 2000. Six responding programs have or previously had RA/APM comingled with another subspecialty. Eight current programs originally offered unofficial or part-time fellowships in RA/APM, with fellows also practicing as attending physicians. Discussion The history of RA/APM training in the USA is a tortuous one. It began with short ‘apprenticeships’ under the tutelage of the early proponents of regional anesthesia and continues today with 84 official RA/APM programs and a robust fellowship directors’ group. RA/APM programs teach skills essential to the practice and improvement of anesthesiology as a specialty.
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Whitmire, Paula , Rickertsen, Cassandra , Lorence, Julia, León, Gustavo De , Bayless, Spencer, Clark-Swanson, Kamala , Corpuz, Christina, Angeles, Christine Paula Lewis-de los, Vora, Sujay A., Mrugała, Maciej M. , Hu, Leland , Porter, Alyx B. , Kumthekar, Priya , Johnston, Sandra K. , Egan, Kathleen M. , Canoll, Peter , Swanson, Kristin R. , Swanson, Kristin R , Hawkins‐Daarud, Andrea , Carrasco, Eduardo, Curtin, Lee , Peeri, Noah Charles , Bendok, Bernard R. , Gonzalez‐Cuyar, Luis F. , Wang, Lei G. , Gatenby, Robert A. , Rubin, Joshua B

No container title available | January 27, 2020 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.2.10177/v4 Get It

Abstract Background : Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods : Combining multi-modal MR images, biomathematical models, and patient clinical information, this investigation assesses which pretreatment variables have a sex-specific impact on the survival of glioblastoma patients (299 males and 195 females). Results : Among males, tumor (T1Gd) radius was a predictor of overall survival (HR=1.027, p=0.044). Among females, higher tumor cell net invasion rate was a significant detriment to overall survival (HR=1.011, p<0.001). Female extreme survivors had significantly smaller tumors (T1Gd) (p=0.010 t-test), but tumor size was not correlated with female overall survival (p=0.955 CPH). Both male and female extreme survivors had significantly lower tumor cell net proliferation rates than other patients (M p=0.004, F p=0.001, t-test). Conclusion : Despite similar distributions of the MR imaging parameters between males and females, there was a sex-specific difference in how these parameters related to outcomes.
HOUSES Index as an Innovative Socioeconomic Measure Predicts Graft Failure Among Kidney Transplant Recipients
Stevens, Maria , Beebe, Timothy J. , Wi, Chung-II, Taler, Sandra J. , Juhn, Young J. , Stevens, Maria A, St Sauver, Jennifer L, Sauver, Jennifer L. St.

Transplantation | January 27, 2020 | Volume: 104 | Issue: 11 | Pages: 2383-2392

10.1097/tp.0000000000003131 | PMID 31985729 Get It

Background. Despite extensive evaluation processes to determine candidacy for kidney transplantation, variability in graft failure exists. The role of patient socioeconomic status (SES) in transplantation outcomes is poorly understood because of limitations of conventional SES measures. Methods. This population-based retrospective cohort study assessed whether a validated objective and individual-level housing-based SES index (HOUSES) would serve as a predictive tool for graft failure in patients (n = 181) who received a kidney transplant in Olmsted County, MN (January 1, 1998 to December 8, 2016). Associations were assessed between HOUSES (quartiles: Q1 [lowest] to Q4 [highest]) and graft failure until last follow-up date (December 31, 2016) using Cox proportional hazards. The mean age (SD) was 46.1 (17.2) years, 109 (60.2%) were male, 113 (62.4%) received a living kidney donor transplant, and 40 (22.1%) had a graft failure event. Results. Compared with Q1, patients with higher HOUSES (Q2–Q4) had significantly lower graft failure rates (adjusted hazard ratio, 0.47; 95% confidence interval, 0.24-0.92; P < 0.029), controlling for age, sex, race, previous kidney transplantation, and donor type. Conclusions. Although criteria for kidney transplant recipients are selective, patients with higher HOUSES had lower graft failure rates. Thus, HOUSES may enable transplantation programs to identify a target group for improving kidney transplantation outcomes.
Fine‐Mapping of SNCA in Rapid Eye Movement Sleep Behavior Disorder and Overt Synucleinopathies
Krohn, Lynne , Wu, Richard Y. J. , Heilbron, Karl , Ruskey, Jennifer A. , Laurent, Sandra B., Blauwendraat, Cornelis , Alam, Armaghan , Arnulf, Isabelle , Hu, Michele T.M., Dauvilliers, Yves , Högl, Birgit , Toft, Mathias , Bjørnarå, Kari Anne , Stefani, Ambra , Holzknecht, Evi , Monaca, Christelle, Abril, Beatriz, Young, Peter , Heidbreder, Anna , Mollenhauer, Brit , Sixel‐Döring, Friederike , Trenkwalder, Claudia , Šonka, Karel , Figorilli, Michela , Puligheddu, Monica , Dijkstra, Femke , Viaene, Mineke , Oertel, Wolfang, Toffoli, Marco , Gagnon, Jean‐François , Nalls, Mike A., Singleton, Andrew B., Désautels, Alex , Montplaisir, Jacques , Ross, Owen A. , Dupré, Nicolas , Postuma, Ronald B., Antelmi, Elena , Cochen De Cock, Valérie , Rouleau, Guy Armand , Gan-Or, Ziv , Ross, Owen A , Dauvilliers, Yves , Stefani, Ambra , Toft, Mathias , Arnulf, Isabelle , Högl, Birgit , Sonka, Karel , Figorilli, Michela , Puligheddu, Monica , Heidbreder, Anna , Plazzi, Giuseppe , Antelmi, Elena , Ferini-Strambi, Luigi , Kemlink, David , Gigli, Gian Luigi , Valente, Mariarosaria , Singleton, Andrew , Cannon, Paul, Boeve, Bradley F. , Fon, Edward A , Postuma, Ronald B. , Pihlstrøm, Lasse , Gan‐Or, Ziv

Annals of Neurology | January 24, 2020 | Volume: 87 | Issue: 4 | Pages: 584-598

10.1002/ana.25687 | PMID 31976583 Get It

Objective Rapid eye movement sleep behavior disorder (RBD) is a prodromal synucleinopathy, as >80% will eventually convert to overt synucleinopathy. We performed an in‐depth analysis of the SNCA locus to identify RBD‐specific risk variants. Methods Full sequencing and genotyping of SNCA was performed in isolated/idiopathic RBD (iRBD, n = 1,076), Parkinson disease (PD, n = 1,013), dementia with Lewy bodies (DLB, n = 415), and control subjects (n = 6,155). The iRBD cases were diagnosed with RBD prior to neurodegeneration, although some have since converted. A replication cohort from 23andMe of PD patients with probable RBD (pRBD) was also analyzed (n = 1,782 cases; n = 131,250 controls). Adjusted logistic regression models and meta‐analyses were performed. Effects on conversion rate were analyzed in 432 RBD patients with available data using Kaplan–Meier survival analysis. Results A 5′‐region SNCA variant (rs10005233) was associated with iRBD (odds ratio [OR] = 1.43, p = 1.1E‐08), which was replicated in pRBD. This variant is in linkage disequilibrium (LD) with other 5′ risk variants across the different synucleinopathies. An independent iRBD‐specific suggestive association (rs11732740) was detected at the 3′ of SNCA (OR = 1.32, p = 4.7E‐04, not statistically significant after Bonferroni correction). Homozygous carriers of both iRBD‐specific SNPs were at highly increased risk for iRBD (OR = 5.74, p = 2E‐06). The known top PD‐associated variant (3′ variant rs356182) had an opposite direction of effect in iRBD compared to PD. Interpretation There is a distinct pattern of association at the SNCA locus in RBD as compared to PD, with an opposite direction of effect at the 3′ of SNCA . Several 5′ SNCA variants are associated with iRBD and with pRBD in overt synucleinopathies. ANN NEUROL 2020;87:584–598
Serum Reference Intervals and Diagnostic Ranges for Free κ and Free λ Immunoglobulin Light Chains: Relative Sensitivity for Detection of Monoclonal Light Chains
Katzmann, Jerry A., Clark, Raynell, Abraham, Roshini S. , Bryant, Sandra C. , Lymp, James, Kyle, Robert A. , Bradwell, A.R.

Clinical Chemistry | January 24, 2020 | Volume: 48 | Issue: 9 | Pages: 1437-1444

10.1093/clinchem/48.9.1437 Get It

AbstractBackground: The detection of monoclonal free light chains (FLCs) is an important diagnostic aid for a variety of monoclonal gammopathies and is especially important in light-chain diseases, such as light-chain myeloma, primary systemic amyloidosis, and light-chain-deposition disease. These diseases are more prevalent in the elderly, and assays to detect and quantify abnormal amounts of FLCs require reference intervals that include elderly donors.Methods: We used an automated immunoassay for FLCs and sera from a population 21–90 years of age. We used the calculated reference and diagnostic intervals to compare FLC results with those obtained by immunofixation (IFE) to detect low concentrations of monoclonal κ and λ FLCs in the sera of patients with monoclonal gammopathies.Results: Serum κ and λ FLCs increased with population age, with an apparent change for those &gt;80 years. This trend was lost when the FLC concentration was normalized to cystatin C concentration. The ratio of κ FLC to λ FLC (FLC K/L) did not exhibit an age-dependent trend. The diagnostic interval for FLC K/L was 0.26–1.65. The 95% reference interval for κ FLC was 3.3–19.4 mg/L, and that for λ FLC was 5.7–26.3 mg/L. Detection and quantification of monoclonal FLCs by nephelometry were more sensitive than IFE in serum samples from patients with primary systemic amyloidosis and light-chain-deposition disease.Conclusions: Reference and diagnostic intervals for serum FLCs have been developed for use with a new, automated immunoassay that makes the detection and quantification of monoclonal FLCs easier and more sensitive than with current methods. The serum FLC assay complements IFE and allows quantification of FLCs in light-chain-disease patients who have no detectable serum or urine M-spike.