Citations

Mayo Clinic

Clear

204 citation(s) found for "Ma, Maxwell".

Abnormal rapid eye movement sleep atonia control in chronic post-traumatic stress disorder
Feemster, John, Steele, Tyler, Palermo, Kyle P, Ralston, Christy L., Tao, Yumeng, Bauer, David A, Edgar, Liam J., Rivera, Sonia, Walters-Smith, Maxwell, Gossard, Thomas , Teigen, Luke, Timm, Paul, Richardson, Jarrett W., Auger, R. Robert , Kolla, Bhanuprakash , Silber, Michael H. , Louis, Erik K. St. , Feemster, John C, Steele, Tyler A, Edgar, Liam, Gossard, Thomas R, Teigen, Luke N, Timm, Paul C, Boeve, Brad , St Louis, E K , Gossard, Thomas R , Kolla, Bhanu Prakash , McCarter, Stuart J. , Boeve, Bradley F.

Sleep | December 27, 2021 | Volume: 45 | Issue: 3 | Pages: No page available

10.1093/sleep/zsab259 | PMID 34958372 Get It

Abstract Study Objectives Post-traumatic stress disorder (PTSD) and rapid eye movement (REM) sleep behavior disorder (RBD) share some common features including prominent nightmares and sleep disturbances. We aimed to comparatively analyze REM sleep without atonia (RSWA) between patients with chronic PTSD with and without dream enactment behavior (DEB), isolated RBD (iRBD), and controls. Methods In this retrospective study, we comparatively analyzed 18 PTSD with DEB (PTSD+DEB), 18 PTSD without DEB, 15 iRBD, and 51 controls matched for age and sex. We reviewed medical records to determine PTSD clinical features and quantitatively analyzed RSWA. We used nonparametric analyses to compare clinical and polysomnographic features. Results PTSD patients, both with and without DEB, had significantly higher RSWA than controls (all p < .025, excepting submentalis phasic duration in PTSD+DEB). Most RSWA measures were also higher in PTSD+DEB than in PTSD without DEB patients (all p < .025). Conclusions PTSD patients have higher RSWA than controls, whether DEB is present or not, indicating that REM sleep atonia control is abnormal in chronic PTSD. Further prospective studies are needed to determine whether neurodegenerative risk and disease markers similar to RBD might occur in PTSD patients.
Population pharmacokinetics of liposomal irinotecan in patients with cancer and exposure–safety analyses in patients with metastatic pancreatic cancer
Brendel, Karl , Bekaii‐Saab, Tanios , Dayyani, Farshid , Dean, Andrew , Macarulla, Teresa , Maxwell, Fiona , Mody, Kabir , Pedret‐Dunn, Anna, Dayyani, Farshid , Bekaii-Saab, Tanios S , Macarulla, Teresa , Boland, Patrick M. , Wainberg, Zev A. , Zhang, Bin

CPT: Pharmacometrics & Systems Pharmacology | November 9, 2021 | Volume: 10 | Issue: 12 | Pages: 1550-1563

10.1002/psp4.12725 | PMID 34750990 Get It

AbstractLiposomal irinotecan is a liposomal formulation of irinotecan, which prolongs circulation of irinotecan and its active metabolite SN‐38. A population pharmacokinetic (PK) model was developed based on data from seven studies (N = 440). Adequacy of the model was assessed using multiple methods, including visual predictive check. Associations between PK exposure and the incidence of diarrhea (grade ≥3) and neutropenia adverse events (AEs) (grade ≥3) at first event in patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) were investigated using logistic regression based on data from two studies (the phase III NAPOLI‐1 [N = 260] and phase I/II NCT02551991 [N = 56] trials). The PKs of total irinotecan was described by a two‐compartment model with first‐order elimination, with SN‐38 formed directly by a first‐order constant from the central compartment of irinotecan or after using a transit compartment. Clearance was 17.9 L/week (0.107 L/h) and 19,800 L/week (118 L/h) for total irinotecan and SN‐38, respectively. The UGT1A1*28 7/7 homozygous genotype had no significant impact on SN‐38 clearance. Model evaluation was satisfactory for both irinotecan and SN‐38. The incidence of diarrhea (grade ≥3) at first event was significantly higher with increasing average concentrations of total irinotecan and SN‐38; there was no significant association between an increased risk of neutropenia AEs (grade ≥3) at first event and average SN‐38 concentrations. In summary, the PKs of total irinotecan and SN‐38 after administration of liposomal irinotecan were well‐described by the model. The UGT1A1*28 status had no significant impact on the PKs of liposomal irinotecan.
Progressive decline of function in renal allografts with normal 1‐year biopsies: Gene expression studies fail to identify a classifier
Park, Walter D. , Kim, Dean Y. , Mai, Martin L., Reddy, Kunam S. , Gonwa, Thomas A., Ryan, Margaret , Hernandez, Loren P. Herrera , Geiger, Xochiquetzal J., Túrkevi-Nagy, Sándor , Cornell, Lynn D. , Kremers, Walter K. , Gonwa, Thomas, Ryan, Margaret S, Herrera Hernandez, Loren P, Smith, Byron , Stegall, Mark D , Park, Walter , Cornell, Lynn , Kremers, Walter K , Mai, Martin L., Smith, Maxwell L. , Smith, Byron H. , Stegall, Mark D.

Clinical Transplantation | October 30, 2021 | Volume: 35 | Issue: 12 | Pages: No page available

10.1111/ctr.14456 | PMID 34717009 Get It

AbstractHistologic findings on 1‐year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1‐year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1‐year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1‐year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10‐fold cross‐validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c‐statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c‐statistic. Importantly, the majority of patients with graft loss in the prospective study had 1‐year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1‐year biopsy and eGFR > 40) remains difficult.
Utility of Blue Light Cystoscopy for Post-bacillus Calmette-Guérin Bladder Cancer Recurrence Detection: Implications for Clinical Trial Recruitment and Study Comparisons
Chappidi, Meera R. , Meng, Maxwell V. , Bivalacqua, Trinity J. , Holzbeierlein, Jeffrey M., Kaimakliotis, Hristos Z. , Konety, Badrinath R. , Liao, Joseph C. , Pohar, Kamal S. , Taylor, Jennifer M. , Tyson, Mark D. , Willard, Brian, Porten, Sima P. , Kates, Max , Yang, Heiko , Daneshmand, Siamak , Steinberg, Gary D. , Lotan, Yair

Journal of Urology | October 25, 2021 | Volume: 207 | Issue: 3 | Pages: 534-540

10.1097/ju.0000000000002308 | PMID 34694916 Get It

Banff consensus recommendations for steatosis assessment in donor livers
Neil, Desley , Minervini, Marta I., Hübscher, Stefan G. , Brunt, Elizabeth M. , Demetris, Anthony J. , Neil, Desley A H , Smith, Maxwell L.

Hepatology | October 22, 2021 | Volume: 75 | Issue: 4 | Pages: 1014-1025

10.1002/hep.32208 | PMID 34676901 Get It

Abstract Background and Aims No consensus criteria or approaches exist regarding assessment of steatosis in the setting of human donor liver suitability for transplantation. The Banff Working Group on Liver Allograft Pathology undertook a study to determine the consistency with which steatosis is assessed and reported in frozen sections of potential donor livers. Approach and Results A panel of 59 pathologists from 16 countries completed a questionnaire covering criteria used to assess steatosis in donor liver biopsies, including droplet size and magnification used; subsequently, steatosis severity was assessed in 18 whole slide images of donor liver frozen sections ( n = 59). Survey results (from 56/59) indicated a wide variation in definitions and approaches used to assess and report steatosis. Whole slide image assessment led to a broad range in the scores. Findings were discussed at a workshop held at the 15th Banff Conference on Allograft Pathology, September 2019. The aims of discussions were to (i) establish consensus criteria for defining “large droplet fat” (LDF) that predisposes to increased risk of initial poor graft function and (ii) develop an algorithmic approach to determine fat droplet size and the percentage of hepatocytes involved. LDF was defined as typically a single fat droplet that expands the involved hepatocyte and is larger than adjacent nonsteatotic hepatocytes. Estimating severity of steatosis involves (i) low magnification estimate of the approximate surface area of the biopsy occupied by fat, (ii) higher magnification determination of the percentage of hepatocytes within the fatty area with LDF, and (iii) final score calculation. Conclusions The proposed guidelines herein are intended to improve standardization in steatosis assessment of donor liver biopsies. The calculated percent LDF should be provided to the surgeon.
­TREM2-H157Y Increases Soluble TREM2 Production and Reduces Amyloid Pathology
Qiao, Wenhui , Chen, Yixing , Martens, Yuka A. , Li, Fuyao , Aishe, Kurti I., Dacquel, Maxwell V., Fryer, John Denis , Chen, Kai , Li, Fuyao , Liu, Chia‐Chen , Knight, Joshua A. , Chen, Kai , Shue, Francis , Zhao, Na , Bu, Guojun

No container title available | October 13, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-960300/v1 Get It

Abstract Background: The p.H157Y variant of TREM2 (Triggering Receptor Expressed on Myeloid Cells 2) has been reported to increase Alzheimer’s disease (AD) risk. This mutation in the extracellular domain of TREM2 localizes at the cleavage site and was shown to enhance shedding and impair phagocytosis in vitro by ectopic expression of TREM2-H157Y in HEK293 cells. However, the physiological and AD-related outcomes of TREM2 H157Y mutation in vivo remain unknown.Methods: We generated a novel Trem2 H157Y knock-in mouse model through CRISPR-Cas9 technology and investigated how Trem2 H157Y mutation impacts TREM2 proteolytic processing, synaptic function, and AD-related amyloid pathology by conducting biochemical assays, immunofluorescent staining, hippocampal electrophysiology, and in vivo micro-dialysis in awake, free-moving animals.Results: Consistent with previous in vitro findings, TREM2-H157Y increases the amount of soluble TREM2 (sTREM2) in the cortex and serum of mutant mice compared to the wild type controls. Interestingly, the Trem2 H157Y variant enhances synaptic plasticity without affecting microglial density and morphology. In the presence of amyloid pathology, TREM2-H157Y surprisingly accelerates Aβ clearance and reduces amyloid burden and microgliosis. Conclusion: Taken together, our findings support a beneficial effect of the Trem2 H157Y mutation in synaptic function and in mitigating amyloid pathology. Considering the genetic association of TREM2 p.H157Y with AD, we speculate TREM2-H157Y might increase AD risk through an amyloid-independent pathway, as such its effects on tauopathy and neurodegeneration merit further investigation.
Risk classification at diagnosis predicts post-HCT outcomes in intermediate-, adverse-risk, and KMT2A-rearranged AML
Menghrajani, Kamal , Gomez-Arteaga, Alexandra , Madero‐Marroquin, Rafael , Zhang, Mei‐Jie , Bo-Subait, Khalid, Sánchez, J. Ortiz, Wang, Hailin , Aljurf, Mahmoud , Assal, Amer , Bejanyan, Nelli , Bredeson, Christopher , Byrne, Michael , Castillo, Paul , Černý, Jan , Ciurea, Stefan O. , DeFilipp, Zachariah , Farhadfar, Nosha , Gadalla, Shahinaz M. , Ganguly, Siddhartha , Gowda, Lohith , Hashmi, Shahrukh K. , Hildebrandt, Gerhard , Kanakry, Christopher G. , Khimani, Farhad , Krem, Maxwell M. , Liu, Hongtao , Martino, Rodrigo , Michelis, Fotios V. , Nathan, Sunita , Rizzieri, David A. , Rowe, Jacob M. , Seo, Sachiko , Sharma, Akshay , Solh, Melhem , Üstün, Celalettin , Verdonck, Leo F. , Litzow, Mark R. , Weisdorf, Daniel J. , Zhang, Yanming , Tallman, Martin S. , Saber, Wael , Bacher, Ulrike , Bejanyan, Nelli , Bhatt, Vijaya Raj , Cerny, Jan , Chhabra, Saurabh , DeFilipp, Zachariah , Gadalla, Shahinaz M , Gale, Robert P , Hashmi, Shahrukh K , Hildebrandt, Gerhard C , Kansagra, Ankit , Krem, Maxwell M , Lazarus, Hillard M , Liu, Hongtao , Martino, Rodrigo , Michelis, Fotios V , Nishihori, Taiga , Olsson, Richard F , Reshef, Ran , Rizzieri, David A , Savani, Bipin N , Seo, Sachiko , Sharma, Akshay , Ustun, Celalettin , Hourigan, Christopher S , Sandmaier, Brenda M , Litzow, Mark R. , Weisdorf, Dan , Assal, Amer , Badawy, Sherif M. , Bhatt, Vijaya Raj , Chhabra, Saurabh , Gale, Robert Peter , Grunwald, Michael R. , Kansagra, Ankit , Lazarus, Hillard M. , Nishihori, Taiga , Olsson, Richard F. , Reshef, Ran , Savani, Bipin N. , Hourigan, Christopher S. , Kebriaei, Partow

Blood Advances | September 22, 2021 | Volume: 6 | Issue: 3 | Pages: 828-847

10.1182/bloodadvances.2021004881 | PMID 34551064 Get It

Abstract Little is known about whether risk classification at diagnosis predicts post-hematopoietic cell transplantation (HCT) outcomes in patients with acute myeloid leukemia (AML). We evaluated 8709 patients with AML from the CIBMTR database, and after selection and manual curation of the cytogenetics data, 3779 patients in first complete remission were included in the final analysis: 2384 with intermediate-risk, 969 with adverse-risk, and 426 with KMT2A-rearranged disease. An adjusted multivariable analysis detected an increased risk of relapse for patients with KMT2A-rearranged or adverse-risk AML as compared to those with intermediate-risk disease (hazards ratio [HR], 1.27; P = .01; HR, 1.71; P < .001, respectively). Leukemia-free survival was similar for patients with KMT2A rearrangement or adverse risk (HR, 1.26; P = .002, and HR, 1.47; P < .001), as was overall survival (HR, 1.32; P < .001, and HR, 1.45; P < .001). No differences in outcome were detected when patients were stratified by KMT2A fusion partner. This study is the largest conducted to date on post-HCT outcomes in AML, with manually curated cytogenetics used for risk stratification. Our work demonstrates that risk classification at diagnosis remains predictive of post-HCT outcomes in AML. It also highlights the critical need to develop novel treatment strategies for patients with KMT2A-rearranged and adverse-risk disease.
Haploidentical vs sibling, unrelated, or cord blood hematopoietic cell transplantation for acute lymphoblastic leukemia
Wieduwilt, Matthew J. , Metheny, Leland , Zhang, Mei‐Jie , Wang, Hailin , Estrada‐Merly, Noel, Marks, David I. , Al‐Homsi, A. Samer, Muffly, Lori , Chao, Nelson J. , Rizzieri, David A. , Gadalla, Shahinaz M. , Cairo, Mitchell S. , Gore, Steven D. , Patel, Sagar S. , Michelis, Fotios V. , Inamoto, Yoshihiro , Copelan, Edward A. , Palmisiano, Neil , Kharfan‐Dabaja, Mohamed A. , Ganguly, Siddhartha , Bredeson, Christopher , Ballen, Karen K. , Martino, Rodrigo , Wirk, Baldeep , Aljurf, Mahmoud , Bashey, Asad, Murthy, Hemant S. , Farhadfar, Nosha , Liu, Hongtao , Abdel‐Azim, Hisham , Solh, Melhem , Seftel, Matthew D. , Poel, Marjolein van der , Kamble, Rammurti T., Munker, Reinhold , Cahn, Jean‐Yves , Freytes, César O. , Krem, Maxwell M. , Winestone, Lena E. , Nathan, Sunita , Verdonck, Leo F. , Sharma, Akshay , Ringdén, Olle , Černý, Jan , Choe, Hannah , Seo, Sachiko , Baxter‐Lowe, Lee Ann , Hildebrandt, Gerhard , Litzow, Mark R. , Abid, Muhammad Bilal , Weisdorf, Daniel J. , Saber, Wael , Chao, Nelson , Rizzieri, David A , Gadalla, Shahinaz M , Bhatt, Vijaya Raj , Patel, Sagar , Michelis, Fotios V , Kharfan-Dabaja, Mohamed A , Savani, Bipin N , Martino, Rodrigo , Bacher, Ulrike , Liu, Hongtao , Waller, Edmund K , McGuirk, Joseph , Krem, Maxwell M , Winestone, Lena E , Olsson, Richard F , Sharma, Akshay , Ringden, Olov , Friend, Brian D , Cerny, Jan , Chhabra, Saurabh , Nishihori, Taiga , Seo, Sachiko , George, Biju , Baxter-Lowe, Lee Ann , Hildebrandt, Gerhard C , de Lima, Marcos , Litzow, Mark R. , Hourigan, Christopher S , Weisdorf, Dan , Murthy, Hemant S , Muffly, Lori , Abid, Muhammad Bilal , Gale, Robert Peter , Mussetti, Alberto , Bhatt, Vijaya Raj , Badawy, Sherif M. , Lazarus, Hillard M. , Díaz, Miguel Ángel , Cassaday, Ryan D. , Savani, Bipin N. , Yared, Jean A. , Aldoss, Ibrahim , Waller, Edmund K. , Grunwald, Michael R. , Liesveld, Jane L. , McGuirk, Joseph P. , Lee, Jong Wook , Gergis, Usama , Olsson, Richard F. , Chhabra, Saurabh , Nishihori, Taiga , Lima, Marcos de , Kebriaei, Partow , Hourigan, Christopher S.

Blood Advances | September 21, 2021 | Volume: 6 | Issue: 1 | Pages: 339-357

10.1182/bloodadvances.2021004916 | PMID 34547770 Get It

Abstract The role of haploidentical hematopoietic cell transplantation (HCT) using posttransplant cyclophosphamide (PTCy) for acute lymphoblastic leukemia (ALL) is being defined. We performed a retrospective, multivariable analysis comparing outcomes of HCT approaches by donor for adults with ALL in remission. The primary objective was to compare overall survival (OS) among haploidentical HCTs using PTCy and HLA-matched sibling donor (MSD), 8/8 HLA-matched unrelated donor (MUD), 7 /8 HLA-MUD, or umbilical cord blood (UCB) HCT. Comparing haploidentical HCT to MSD HCT, we found that OS, leukemia-free survival (LFS), nonrelapse mortality (NRM), relapse, and acute graft-versus-host disease (aGVHD) were not different but chronic GVHD (cGVHD) was higher in MSD HCT. Compared with MUD HCT, OS, LFS, and relapse were not different, but MUD HCT had increased NRM (hazard ratio [HR], 1.42; P = .02), grade 3 to 4 aGVHD (HR, 1.59; P = .005), and cGVHD. Compared with 7/8 UD HCT, LFS and relapse were not different, but 7/8 UD HCT had worse OS (HR, 1.38; P = .01) and increased NRM (HR, 2.13; P ≤ .001), grade 3 to 4 aGVHD (HR, 1.86; P = .003), and cGVHD (HR, 1.72; P ≤ .001). Compared with UCB HCT, late OS, late LFS, relapse, and cGVHD were not different but UCB HCT had worse early OS (≤18 months; HR, 1.93; P < .001), worse early LFS (HR, 1.40; P = .007) and increased incidences of NRM (HR, 2.08; P < .001) and grade 3 to 4 aGVHD (HR, 1.97; P < .001). Haploidentical HCT using PTCy showed no difference in survival but less GVHD compared with traditional MSD and MUD HCT and is the preferred alternative donor HCT option for adults with ALL in complete remission.
Effect of Probiotics on Incident Ventilator-Associated Pneumonia in Critically Ill Patients
Johnstone, Jennie , Meade, Maureen O. , Lauzier, François, Duan, Erick , Dionne, Joanna C. , Heels‐Ansdell, Diane , Thabane, Lehana , Lamarche, Daphnée , Zytaruk, Nicole , Mehta, Sangeeta , Dodek, Peter , McIntyre, Lauralyn , Karachi, Tim , Henderson, William R. , Wood, Gordon , Ovakim, Daniel , Herridge, Margaret S. , Granton, John , Wilcox, M. Elizabeth , Goffi, Alberto , Niven, Daniel J. , Lamontagne, François , D’Aragon, Frédérick , St.-Arnaud, Charles, Ball, Ian, Nagpal, Dave , Girard, Martin , Aslanian, Pierre, Charbonney, Emmanuel , Sligl, Wendy , Adhikari, Neill K. J. , Marquis, François, Archambault, Patrick , Khwaja, Kosar , Kristof, Arnold S. , Kutsogiannis, James, Paunovic, Bojan, Reeve, Brenda , Lellouche, François , Hosek, Paul, Tsang, Jennifer , Binnie, Alexandra , Trop, Sébastien, Loubani, Osama , Hall, Richard , Cirone, Robert, Reynolds, Steve, Lysecki, Paul, Golan, Eyal, Cartin‐Ceba, Rodrigo , Cook, Deborah, Group, Prevention of Severe Pneumonia and Endotracheal Colonization Trial (PROSPECT) Investigators and the Canadian Critical Care Trials, Wallace, Christine, Sobhi, Gita, Johnstone, Jennie, Lauzier, François, Cook, Deborah, Centoanti, John, Lamarche, Daphne, Laupacis, Andreas, Roberts, Robin, Brun‐Buisson, Christian , Reynolds, Steve, Willems, Sue, Sekhon, Tina , Dodek, Peter, Ayas, Najib , Agda, Maria, Alcuaz, Victoria, Ashley, Betty-Jean, Brewer, Kelsey, Palmer, Janice L. , Brown, Glen, Pavan, Mara, Greisdale, Donald, Foster, Denise , Logie, Suzie, Yip, Judy, Auld, F. C., Carney, Gayle, FLEMING, R.Y. Declan, Good, Jennifer, Manhas, Mandeep, Boyd, Karin, Dheere, Jane, Stelfox, Tom, Couillard, Philippe , Doig, Christopher J. , Booth, Joshua , Codan, Cassidy, Ruddell, Stacy, Cameron, C. Blake, Edison, Rhonda, Mina, Breanna, Berthiaume, Luc , Gaudet, Jonathan, Kutsiogiannis, Jim, Chowdhury, Raiyan, Davidow, Jon, Johnston, Curt, Johnston, Richard , Macala, Kim, Marcushamer, Sam, Markland, D., Matheson, Doug, Payton-Gay, Damian, Zygun, David, Hewer, Tayne, Thompson, Pat, Ge, Maggie, Hall, Janny, Matenchuk, Sharon, Baig, Nadia, McCoshen, Lorena, Alexandropoulos, Katrina, Bain, Sherri, Brandt, Michelle , Constable, Cathy, Douglas, K., Maharaj, Shaleen, Travers, Sabrina, Zarychanski, Ryan, Lys, Justin, Marten, Nicole, Bhairo, Audrey, Ferenes, Halyna, Kozak, Beata, Verrier, Debra, McLaughlin, Dawn-Lee, Blouw, Marcus , Smith, Heather , Gutieror, Oliver, Wingfield, Sherri Lynn, Boyle, M A, Hrabi, Debbie, MacDonald, Chantal, Bento, Karen, Davis, Megan , Dechert, William , Longo, Barbara, Mullen, Courtney, Skrzpek, Elysia, Wierenga, Laurenne, Abuzaiter, Wesam, Amorim, Lynda, Bauer, Rosemarie, Damota, Rachel, Ho, Hoang, Macdougall, Nicole, Thornewell, Mary, Tran, Lara , Visocchi, Jennifer, Hosek, Paul, Plaxton, Bill, Armstong, Catherine, Ellis, Janelle, Fisk, Kayla, Gabnouri, Melissa, Gordon, Emilie, Haegens, Rebecca, Halford, Lisa, Hillis, Brooklyn, Jesso, Rebecca, McLaren, Jennifer , McMillan, Elliot, Pelkmans, Mariska, Rekman, Matthew, Sinkovitis, Sylvia, Truong, Monica, White, Michelle C. , Bates, Noah, Bryden-Cromwell, Susan, Cameron, Colleen, Deen, A. Gamal El, DiGiovanni, Sheri, Foss, Anders, Lee, E. H. , MacGregor, Heidi, Galbraith, Esther, McArthur, Robyn, Mcgregor, J., Miller, Keith R. , Morris, Sharon, Parker, Shelley, Smith, Candice A. , Stoglow, Joanna, Tung, Jennifer , Vos, Melissa , Hand, Lori, Klotz, Lisa, Sabev, Alexandra, Savija, Nevena , Guyatt, Paige, Cosentino, Deanna, Lourenco, Diane, Misina, Julie, Berlingieri, Joseph, Skitch, Steven , Campbell, Tracy , Basheer, Hala, Bruder, Kathy, Cheng, Jane, Qureshi, Kaiser, Infantino, C. A. González, Karachi, Timothy, Alghuroba, Mashari, Khaled, Alia , Millen, Tina, Vaisler, Ryan, Biljan, Maya, Cosentino, Deane, Marriott, Brittany, Muscedere, John, Boyd, Gordon, D`Arsigny, Christine, Drover, John, Erb, Jason , Parker, Chris M., Sibley, Stephanie , Boyd, Tracy, Georgescu, Ilinca, Hunt, Miranda , Muscedere, D., Baker, Cathy, Engel, Jennifer, Fleming, Jennifer , Roderick, Lisa, Silk, Shelley, Spencer, Marcy, Tryon, Michelle, Nagpal, Dave, Ball, Ian, Sharpe, Michael D., Bentall, Tracey, Sturt-Smith, Jessica, Ellis, T.M., Muylaert, Mindy, Paczkowski, Cindy, Campbell, Eileen, Imervoski, Susie, Ovsenek, Athena, Rondinelli, Rebecca, Longfield, Teresa, Moyer, Amy, Norris, F. H., Sumpton, Janice, Teterycz, Karina, Lapinsky, Stephen E. , Munshi, Laveena, Brown, Maedean, Giacomino, Brittany, Jakab, Marnie, Kraguiljac, Alan, Shah, Sumesh, Tamberg, E., Cheng, Doret, Han, Andrew , Leung, Holly, Mantas, Ioanna, Rodrigues, Hilary, Wyllie, Andew, Carmargo, Mercedes, Richter, Beverly, Caporuscio, Rita, Falvo, Rachel Kressner, Fleming, Dimitra, Maxwell, Carmelina, Plantic, Karmen, McIntyre, Lauralyn, Pagliarello, Giuseppe, D`Egidio, Gianni, English, Shane, Hartwick, Mike, Hooper, Jonathan C., Kubelik, D., Meggison, Hilary , Patel, Rakesh , Po, Joseph, Rosenberg, Erin, Gomes, Brigette, Leclair, Lianne, Porteous, Rebecca , Reddie, Shawna, Watpool, Irene , Cox, Marianne, Fraser, Kathy, Kuhn, Jennifer, Richard, Susanne, Weir, Sherry, Cardinal, Pierre , Jones, Gwynne, Microys, Sherissa, Sarti, Aimee , Seely, Andrew , Acres, Shelley, Mietitis, Sydney, Montroy, Kaitlyn, Aikens, Wendy, Dugal, Anne-Marie, Soth, Mark, Alhazanni, Waleed, Clarke, France, Copland, Mary, Hoad, Neala, Sheers, M., Takaoka, Alyson, Zytaruk, Nicole, Connolly, Christa, Davis, Denise, Gallinas, Tracy, Lee-Yoo, Jean, Lukinuk, Connie, Musielak, Leia, Pavunkovic, Nancy, Pelayo, Joy, Phillips, Kaitlyn , Pracsovics, Catherine, Raimondo, Julia, Stankus, Vida, Wright, Angela, Young, Crystal , Cirrone, Rob, Kavikondala, Kanthi, Pellerin, Axelle, Tomat, Laura, Carter, Jeff , Jani, J., Yaets, Brendan, Hodder, Jennifer, Khalid, Imrana, Lee, Julie , Salway, Kurtis D., Sandhu, Gyan, Santos, Marlene, Smith, Orla, Wang, Melissa, Dewhurst, Norman, Dowbenka, Ann, Kosinski, Ann, Parsons, Laura, Proceviat, J, Ramonas, Gitana, Yuen, Mae, Amaral, Andre , Fowler, Rob, Scales, Damon C. , Marinoff, Nicole, Pérez, Adic, Wang, Jane , Hatzifilalithis, Katrina, Iazzetta, John, Kolos, Chrys, Quinton, Ingrid, Herridge, Margaret, Archer, Jaimie, Fraser, Brooke , Geen-Smith, Cheryl, Matté, Andrea, Robles, Priscilla, Urrea, Cristian, Ascroft, Jane, Haji, Fatima , Ming, Jie , Suen, Matthew , Walid, Muhammad, Westlund, Jill M., McCredie, Victoria , Wilcox, Elizabeth , Farías, Paulina , Kosky, Barbara, Pugliese, Christina, Stenyk, Lia, Walczak, Karolina, Ae, Kyung, Kaur, Rajvinder , Lui, Jane , Mateo, Sophia, Pham, Nga, Heslegrave, Ronald J. , Panchbhaya, Zaynab, Sharman, Kim, Goel, Rakhi, Kozluk, Kim, Labelle, Julianne, Marsonia, Hina, Scott, Cecillia, Aslanian, P., Bélisle, Sylvain, Denault, André , Guimond, Jean‐Gilles, Halwagi, Antoine, Hebert, Paul L. , Kolan, Christopher, Mancebo, Jordi , Robillard, Nicholas , Benettaib, Fatna, Boumahni, Dounia, Caporuscio, Casey Bourdeau, Cantin, M, Côté-Gravel, Virginy, Ghamraoui, Ali, Lebrasseur, Martine, Courville, Lancelot Legendre, Lorio, S., Madrid, Maria Trinidad, Poitras, Nicole, Rigal, Romain, Salamé, Maya, Tran, V.K., Bacon, Katie, Boudreau, Nathalie , Carvajal, Cecilia, Gauthier, Lyne, Gendron, Julie, Jean, Karine, Laforest, Louise, Lembo, Antonietta, Lim, S. H., Pagé, France, Pelletier, L, Rodrigue, Marie-Christine, Bellemare, Jean-François, Bordeleau, Simon, Drouin, Christine, Duhaime, Benoit, Laberge, Ann, Lechance, Philippe, Deblois, Estel, Dionne, Maude, Lavoie, Lise, Michel, Isabelle, Pépin, A., Poulin, S., Anctil, Sarah, Marchand, Louis-Étienne , Roy, Robin, St-Arnaud, Charles , Quiroz, Héctor, Bérard, Dominique, Leclair, Marc-André, Bolduc, Virginie, Carbonneau, Élaine, Marchand, Joannie, Masse, Marie-Hélène , Cloutier, Sylvie , Guay, M, Morin, Line, Nicolson, J. T., Paquette, Isabelle, Théberge, France, Lamarche, Yoan , LeGuillan, Soazig, Serri, Karim , Verdant, Colin , Beaulieu, Yanick, Bellemare, Patrick, Rico, Philippe, Bernard, Françis , Giasson, Marc, Brunette, Véronique, Cavayas, Alexandros, Lévesque, Émilie, Labikova, Halina, Palacios, Julia , Langlois, Marie-Ève, Williams, Virginie, Nguyễn, Thùy Anh , Phaneuf, Valérie, Wang, Han Tin, Toupin, Francis, Ahern, Stéphane P., Laufer, Brian, Brosseau, Marc, Dul, Pauline, Harvey, Johanne, Inthanavong, Lotthida, Tassy, Danaë, Assayag, Helen, Bachand, M., Bétournay, Marysa, Daoust, Karine, Goyette, Kristine, Lessard, Ariane, Quach, Marceline, Barriault, Danny, Bellemare, David, Boivin, Anick, Breton, S., Cloutier, Ève, Daigle, Marjorie, Delisle-Thibeault, Charles, Giannakouros, Panagiota, Grenier, Stéphanie, Guilbault, Gabrielle, Léger, Caroline, Trembley, Marie-Claude, Gaudreau, Julie, Grégoire, Claire, Labbé, Véronique, Laprise-Rochette, Ariane, Ouellet, Caroline, Samson, Mélanie , Simoneau, Marie-David, Tourcotte, Virginie, Tran, Tuong-Vi, Lellouche, François, Sia, Ying Tung, Simon, Mathieu, Bouchard, Pierre-Alexandre, Lizotte, Patricia, Châteauvert, Nathalie, Grenier, T, Khwaja, Kosar, Deckelbaum, Dan, Gursahaney, Ash, Hornstein, David, Jayaraman, Dev , Razek, Tarek , Salasidis, Robert, Zanelli, Patrizia, Alam, Norine , Doerksen, Tonia, Matte, Gilbert, Robert, Marie‐France, Goldberg, Peter, Hatzakorzian, Roupen , Shahin, Jason , Qureshi, Salman, Campisi, Josie, Botan, Vasilica, Capilnean, Anissa, Corey, A. E., Gagné, Annick, Mian, J N, Normandin, Kathleen, Hall, Rick , Green, Robert, Gillis, Diana, Julien, Lisa, Magennis, Laura, Mitterer, Tamara, Arsenault, Joanna, Bruce-Payne, Kim, Gallant, Patti, Oeckler, Richard A. , Anderson, Brenda J., Liedl, Lavonne M., Meade, Laurie, Weist, Sueanne, Bartoo, Anna, Bauer, Debbie, Brickley, Vince, Bridges, S. Louis , Brunn, G.J., Eickstaedt, Jennifer E., Bergerson, Jill, Showalter, Sandy, Manley, Melissa, Taylor, Robert, Cryton, Margaret, Fowler, K. T., Krause, Katie, O`Brien, Jackie, Tow, Marianne, Ma, John, Moore, Kaitlin MS, Al‐Dawood, Abdulaziz, Tlayjeh, Haytham , Ghanem, Alaaeldien, Hassanien, Ahmad, Sharkawi, Ashraf El, Humaid, Felwa Bin, Alanizi, Hala, Alanizy, Nadyah, Bogami, Njoud Al, Muhaidib, Mohammed, Gramish, Jawaher , Alsomali, Randa, Devera, Nora, Villafranca, M.C. Muñoz, Fowler, Robert , Thabane, Lehana , Lauzier, François, Marshall, John C. , Arabi, Yaseen M. , Surette, M G , English, Shane , Rochwerg, Bram , Stelfox, Henry T. , Muscedere, John , Ball, Ian, Williamson, David R. , Friedrich, Jan O. , Kutsogiannis, Demetrios James , Zarychanski, Ryan , Taylor, Robert, Cook, Deborah, Group, Prevention of Severe Pneumonia and Endotracheal Colonization Trial (PROSPECT) Investigators and the Canadian Critical Care Trials, Johnstone, Jennie, Lauzier, François, Cook, Deborah, Oczkowski, Simon J. W. , Bowdish, Dawn M. E. , Reynolds, Steve, Dodek, Peter, Ashley, Betty Jean, Palmer, Janice, Sekhon, Mypinder S. , Auld, Fiona, Fleming, R.Y.Declan, Stelfox, Tom, Parhar, Ken Kuljit S. , Cameron, Candice, Martin, Anne , Thompson, Pat, Bagshaw, Sean M. , Brandt, Michelle, Douglas, Kari, Zarychanski, Ryan, Valente, Maria, Olafson, Kendiss P. , Smith, Heather, Abuzaiter, Wesam, Hosek, Paul, Fisk, Kayla M., McLaren, Jennifer, White, Michelle, Deen, Aminah, Lee, Esther, McGregor, Julie, Miller, Keith, Morris, Sharon, Vos, Melissa, Belley‐Côté, Emilie P. , Shaikh, Sameer, Qureshi, Kaiser, Muscedere, John, D`Arsigny, Christine, Maslove, David M. , Fleming, Jennifer, Spencer, Marcy, Nagpal, Dave, Ball, Ian, Bosma, Karen J. , Alexander, Michelle, Norris, Faith, Munshi, Laveena , Grewal, Gagan , McIntyre, Lauralyn, D`Egidio, Gianni, English, Shane, Hooper, Jonathan, Kyeremanteng, Kwadwo , Neilipovitz, David , Cox, Marianne, Fraser, Kathy, Kuhn, Jennifer, MacLeod, Rob , Rose, Dawn, Kim, John S. , Beinum, Amanda van , Fetzer, Susan, Clarke, France J. , Sheers, Melissa, Zytaruk, Nicole, Davis, Denise, Eaton, Catherine, Lukinuk, Connie, Wright, Angela, Khalid, Imrana, Lee, Julie, Lee, Yoon Min , Cuthbertson, Brian H. , Kaur, Navjot , Herridge, Margaret, Chen, Daniel Tzu-Hsuan , Haji, Fatima, Ming, Jie, Farias, Paulina, Kaur, Rajvinder, Pham, Tam Thi , Goel, Rakhi, Carrier, François Martin , Chassé, Michaël , Hébert, Paul, Kolan, Christophe , Boumahni, Dounia, Ghamraoui, Ali, Lebrasseur, Martine, Lorio, Stéphanie, Laforest, Louise, Lim, Sothun, Morrissette, Jennifer, Pagé, France, Dionne, Maude, Michel, Isabelle, Pépin, Alexandre, Poulin, Sandrine, Cloutier, Sylvie, Nicolson, Jessie, Paquette, Isabelle, Harvey, Johanne, Inthanavong, Lotthida, Daoust, Karine, Turgeon, Alexis F , Boivin, Anick, Breton, Sarah-Judith, Ouellet, Catherine, Grégoire, Claire, Samson, Mélanie, Lellouche, François, Khwaja, Kosar, Grushka, Jeremy Richard , Garcia, Laura, Magder, Sheldon A. , Corey, Alyssa, Mian, Jasmine, Hall, Rick, Green, Robert, Gillis, Diana, Anderson, Brenda, Brunn, Greg, Stern, Erin, Taylor, Robert, Fowler, Kim, Krause, Katie, Moore, Kaitlin , Ghanem, Alaaeldien, Hegazy, Mohamed I. , Villafranca, Marjane

JAMA | September 21, 2021 | Volume: 326 | Issue: 11 | Pages: 1024

10.1001/jama.2021.13355 | PMID 34546300 Get It

Appropriate use criteria for ancillary diagnostic testing in dermatopathology: New recommendations for 11 tests and 220 clinical scenarios from the American Society of Dermatopathology Appropriate Use Criteria Committee
Fung, Maxwell A. , Vidal, Claudia I. , Armbrecht, Eric A., Andea, Aleodor A. , Cassarino, David S. , Comfere, Nneka I. , Emanuel, Patrick O. , Ferringer, Tammie , Kim, Jinah , Lauer, Scott , Linos, Konstantinos , Missall, Tricia A. , Sundram, Uma , Panel, Rating, Calame, Antoanella , Duncan, Lyn M. , Elston, Dirk M. , Hosler, Gregory A. , Hurley, Yadira, Messina, Jane L. , Myles, Jonathan P. , Prieto, Víctor G. , Reddy, Vijaya , Schaffer, András , Subtil, Antonio , Fung, Maxwell A , Vidal, Claudia I , Cassarino, David S , Comfere, Nneka , Emanuel, Patrick O , Kim, Jinah , Linos, Konstantinos , Missall, Tricia A , Motaparthi, Kiran , Patel, Rajiv M , Sundram, Uma , Hosler, Gregory A , Hurley, Maria Yadira , Messina, Jane , Plaza, Jose Antonio , Prieto, Victor G , Subtil, Antonio , Hristov, Alexandra C. , Novoa, Roberto A. , Patel, Rajiv M. , Shalin, Sara C. , Panel, Rating, Bennett, Daniel D , Lazar, Alexander J. , Lowe, Lori , Myles, Jonathan

Journal of Cutaneous Pathology | September 18, 2021 | Volume: 49 | Issue: 3 | Pages: 231-245

10.1111/cup.14135 | PMID 34536035 Get It

AbstractBackgroundAppropriate use criteria (AUC) provide patient‐centered physician guidance in test selection. An initial set of AUC was reported by the American Society of Dermatopathology (ASDP) in 2018. AUC reflect evidence collected at single timepoints and may be affected by evolving evidence and experience. The objective of this study was to update and expand AUC for selected tests.MethodsRAND/UCLA (RAND Corporation [Santa Monica, CA]/University of California Los Angeles) methodology used includes the following: (a) literature review; (b) review of previously rated tests and previously employed clinical scenarios; (c) selection of previously rated tests for new ratings; (d) development of new clinical scenarios; (e) selection of additional tests; (f) three rating rounds with feedback and group discussion after rounds 1 and 2.ResultsFor 220 clinical scenarios comprising lymphoproliferative (light chain clonality), melanocytic (comparative genomic hybridization, fluorescence in situ hybridization, reverse transcription polymerase chain reaction, telomerase reverse transcriptase promoter), vascular disorders (MYC), and inflammatory dermatoses (periodic acid‐Schiff, Gömöri methenamine silver), consensus by panel raters was reached in 172 of 220 (78%) scenarios, with 103 of 148 (70%) rated “usually appropriate” or “rarely appropriate” and 45 of 148 (30%), “appropriateness uncertain.” Limitations: The study design only measures appropriateness. Cost, availability, test comparison, and additional clinical considerations are not measured. The possibility that the findings of this study may be influenced by the inherent biases of the dermatopathologists involved in the study cannot be excluded.ConclusionsAUC are reported for selected diagnostic tests in clinical scenarios that occur in dermatopathology practice. Adhering to AUC may reduce inappropriate test utilization and improve healthcare delivery.