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Performance of a Cell-Free DNA-Based Multi-cancer Detection Test in Individuals Presenting With Symptoms Suspicious for Cancers
Bryce, Alan H. , Thiel, David D. , Seiden, Michael V., Richards, Donald , Luan, Ying, Coignet, Marie V. , Zhang, Quan , Hubbell, Earl , Kurtzman, Kathryn N. , Klein, Eric A. , Coignet, Marie , Hubbell, Earl , Kurtzman, Kathryn N , Klein, Eric A , Bryce, Alan H , Luan, Ying, Zhang, Nan

JCO Precision Oncology | July 19, 2023 | Volume: No volume available | Issue: 7 | Pages: No page available

10.1200/po.22.00679 | PMID 37467458 Get It

PURPOSE A multi-cancer detection test using a targeted methylation assay and machine learning classifiers was validated and optimized for screening in prospective, case-controlled Circulating Cell-free Genome Atlas (ClinicalTrials.gov identifier: NCT02889978 ) substudy 3. Here, we report test performance in a subgroup of participants with symptoms suspicious for cancer to assess the test's ability to potentially facilitate efficient diagnostic evaluation in symptomatic individuals. METHODS We evaluated test performance (sensitivity, specificity, and accuracy of cancer signal origin [CSO] prediction accuracy) in participants with clinically presenting cancers (CPCs) and noncancer with underlying medical conditions and among two subgroups (65 years and older and GI cancers). Overall survival (OS) of participants who had a cancer signal detected/not detected was compared with SEER-based expected survival. RESULTS A total of 2,036 cancer and 1,472 noncancer participants were included. Specificity was high in all noncancer participants (99.5% [95% CI, 98.4 to 99.8]). In participants with CPCs, the overall sensitivity was 64.3% (95% CI, 62.2 to 66.4) and the overall accuracy of CSO prediction in true positives was 90.3%. For GI cancers, the overall sensitivity was 84.1% (95% CI, 80.6 to 87.1). In participants 65 years and older, test performance was similar to that of all participants. Individuals with cancers not detected had a significantly better OS than that expected from SEER ( P < .01). CONCLUSION This test detected a cancer signal with high specificity and CSO prediction accuracy and moderate sensitivity in symptomatic individuals, with especially high performance in participants with GI cancers. The survival analysis implied that the cancers not detected were less clinically aggressive than cancers detected by the test, providing prognostic insights to physicians. This multi-cancer detection test could facilitate efficient workup and stratify cancer risk in symptomatic individuals.
Patients with transthyretin amyloidosis enrolled in THAOS between 2018 and 2021 continue to experience substantial diagnostic delay
Coelho, Teresa , Grogan, Martha , Conceição, Isabel , Kristen, Arnt V. , Wixner, Jonas , González‐Moreno, Juan , Maurer, Mathew S. , García‐Pavía, Pablo , Tournev, Ivailo , González‐Costello, José , Cariou, Eve, Glass, Oliver, Chapman, Doug, Amass, Leslie, investigators, on behalf of the THAOS, Hüsing‐Kabar, Anna, Drachman, Brian, Sekijima, Yoshiki , Jeon, Eun‐Seok , Slosky, David, Hanna, Mazen , Freimer, Miriam , Muñoz-Beamud, Francisco, Mølgaard, Henning, Press, Rayomand , Cirami, Calogero Lino , Plana, Josep Maria Campistol, Inamo, Jocelyn , Quan, Dianna , Dori, Amir , Murali, Srinivas, Živković, Saša , Correia, Edileide de Barros , Nicolau, José Nativi, Tallaj, José , Fernández‐Torrón, Roberto , Polydefkis, Michael , Tauras, James M. , Ventura, Hector, Brunkhorst, Robert, Darstein, Felix , Marburger, Tessa, Mueller, Christopher R. , Cleemput, Johan Van , Parman, Yeşim , Sarswat, N., Warner, Alberta L. , Steidley, D. Eric , Ralph, Jeffrey , Cotts, William, Hoffman, James E. , Rugiero, Marcelo, Misawa, Sonoko , Muñoz-Blanco, José Luís , Dávila, Lucía Galán, Sadeh, Menachem , Luo, Jin, Kyriakides, Theodoros , Wang, Annabel , Dispenzieri, Angela , Conceição, Isabel , Garcia-Pavia, Pablo , Dispenzieri, Angela , Waddington‐Cruz, Márcia , Diemberger, Igor , Maurer, Mathew S , Planté‐Bordeneuve, Violaine , González-Duarte, Alejandra , investigators, on behalf of the THAOS, Barroso, Fábio , Ueda, Mitsuharu , Mazzeo, Anna Teresa , Gentile, Luca , Luigetti, Marco , Adams, David , Nienhuis, Hans L. A. , Emdin, Michele , Miller, Edward J. , Hummel, Scott L. , Witteles, Ronald , Shah, Sanjiv J , Lenihan, Daniel , Azevedo, Olga , Tan, Cheng‐Yin , Fine, Nowell Mark , Tschöpe, Carsten , Obici, Laura , BADELITA, Sorina Nicoleta , Gottlieb, Stephen S. , Oh, Jeeyoung , Mueller, Christopher, Salutto, Valeria , Chao, Chi‐Chao , Kaufmann, Horacio

Amyloid | July 17, 2023 | Volume: 30 | Issue: 4 | Pages: 445-448

10.1080/13506129.2023.2229484 | PMID 37459334 Get It

Incremental retraining, clinical implementation, and acceptance rate of deep learning auto‐segmentation for male pelvis in a multiuser environment
Duan, Jingwei , Vargas, Carlos , Yu, Nathan Y. , Toesca, Diego Santos, Keole, Sameer R., Rwigema, Jean Claude, Wong, William W. , Chen, Quan , Laughlin, Brady S. , Keole, Sameer , Schild, Steven E. , Duan, Jingwei , Toesca, Diego A.S. , Rwigema, Jean‐Claude M. , Feng, Xue , Rong, Yi

Medical Physics | June 8, 2023 | Volume: 50 | Issue: 7 | Pages: 4079-4091

10.1002/mp.16537 | PMID 37287322 Get It

AbstractBackgroundDeep learning auto‐segmentation (DLAS) models have been adopted in the clinic; however, they suffer from performance deterioration owing to the clinical practice variability. Some commercial DLAS software provide an incremental retraining function that enables users to train a custom model using their institutional data to account for clinical practice variability.PurposeThis study was performed to evaluate and implement the commercial DLAS software with the incremental retraining function for definitive treatment of patients with prostate cancer in a multi‐user environment.MethodsCT‐based target organs and organs‐at‐risk (OAR) delineation of 215 prostate cancer patients were utilized. The performance of three commercial DLAS software built‐in models was validated with 20 patients. A retrained custom model was developed using 100 patients and evaluated on the remaining data (n = 115). Dice similarity coefficient (DSC), Hausdorff distance (HD), mean surface distance (MSD), and surface DSC (SDSC) were utilized for quantitative evaluation. A multi‐rater qualitative evaluation was blindly performed with a five‐level scale. Visual inspection was performed in consensus and non‐consensus unacceptable cases to identify the failure modes.ResultsThree commercial DLAS vendor built‐in models achieved sub‐optimal performance in 20 patients. The retrained custom model had a mean DSC of 0.82 for prostate, 0.48 for seminal vesicles (SV), and 0.92 for rectum, respectively. This represents a significant improvement over the built‐in model with DSC of 0.73, 0.37, and 0.81 for the corresponding structures. Compared to the acceptance rate of 96.5% and consensus unacceptable rate (i.e., both reviewers rated as unacceptable) of 3.5% achieved by manual contours, the custom model achieved a 91.3% acceptance rate and 8.7% consensus unacceptable rate. The failure modes of retrained custom model were attributed to the following: cystogram (n = 2), hip prosthesis (n = 2), low dose rate brachytherapy seeds (n = 2), air in endorectal balloon(n = 1), non‐iodinated spacer (n = 2), and giant bladder(n = 1).ConclusionThe commercial DLAS software with the incremental retraining function was validated and clinically adopted for prostate patients in a multi‐user environment. AI‐based auto‐delineation of the prostate and OARs is shown to achieve improved physician acceptance, overall clinical utility, and accuracy.
Esophageal and Esophagogastric Junction Cancers, Version 2.2023, NCCN Clinical Practice Guidelines in Oncology
D’Amico, Thomas A., Bentrem, David J., Cooke, David J. , Corvera, Carlos U. , Das, Prajnan , Enzinger, Peter C. , Enzler, Thomas , Farjah, Farhood , Gerdes, Hans, Grierson, Patrick , Hofstetter, Wayne L. , Ilson, David H. , Jalal, Shadia I. , Keswani, Rajesh N. , Kleinberg, Lawrence , Lacy, Jill , Licciardi, Frank, Ly, Quan P. , Matkowskyj, Kristina A. , McNamara, Michael, Miller, Aaron , Mukherjee, Sarbajit , Mulcahy, Mary F. , Poultsides, George A. , Reznik, Scott I. , Roses, Robert E. , Strong, Vivian E. , Su, Stacey, Wang, Hanlin L. , Wiesner, Georgia L. , Willett, Christopher G. , Yakoub, Danny , Yoon, Harry H. , McMillian, Nicole R., Pluchino, Lenora A. , Yoon, Harry, Ajani, Jaffer A. , Cooke, David, Gerdes, Hans, Gibson, Michael K. , Kim, Sunnie S. Y. , Klempner, Samuel J. , Miller, Aaron, Outlaw, Darryl Alan , Perry, Kyle A. , Pimiento, José M.

Journal of the National Comprehensive Cancer Network | April 4, 2023 | Volume: 21 | Issue: 4 | Pages: 393-422

10.6004/jnccn.2023.0019 | PMID 37015332 Get It

Cancers originating in the esophagus or esophagogastric junction constitute a major global health problem. Esophageal cancers are histologically classified as squamous cell carcinoma (SCC) or adenocarcinoma, which differ in their etiology, pathology, tumor location, therapeutics, and prognosis. In contrast to esophageal adenocarcinoma, which usually affects the lower esophagus, esophageal SCC is more likely to localize at or higher than the tracheal bifurcation. Systemic therapy can provide palliation, improved survival, and enhanced quality of life in patients with locally advanced or metastatic disease. The implementation of biomarker testing, especially analysis of HER2 status, microsatellite instability status, and the expression of programmed death-ligand 1, has had a significant impact on clinical practice and patient care. Targeted therapies including trastuzumab, nivolumab, ipilimumab, and pembrolizumab have produced encouraging results in clinical trials for the treatment of patients with locally advanced or metastatic disease. Palliative management, which may include systemic therapy, chemoradiation, and/or best supportive care, is recommended for all patients with unresectable or metastatic cancer. Multidisciplinary team management is essential for all patients with locally advanced esophageal or esophagogastric junction cancers. This selection from the NCCN Guidelines for Esophageal and Esophagogastric Junction Cancers focuses on the management of recurrent or metastatic disease.
The Effects of Palovarotene in Patients with Fibrodysplasia Ossificans Progressiva: A Plain Language Summary
Pignolo, Robert J. , Mukaddam, Mona Al , Berglund, Staffan K. , Cheung, Angela M. , Cunto, Carmen De , Delai, Patricia , Haga, Nobuhiko , Mancilla, Edna E. , Marino, Rose , Strahs, Andrew, Cheung, Angela M , Hsiao, Edward C. , Baujat, Geneviève , Brown, Matthew , Kannus, Pekka , Keen, Richard , Sang, Kim‐Hanh Le Quan , Kaplan, Frederick S.

Future Rare Diseases | January 18, 2023 | Volume: 3 | Issue: 1 | Pages: No page available

10.2217/frd-2022-0015 Get It

Reduction of New Heterotopic Ossification ( HO ) in the Open‐Label , Phase 3 MOVE Trial of Palovarotene
Pignolo, Robert J. , Mukaddam, Mona Al , Baujat, Geneviève , Berglund, Staffan K. , Cheung, Angela M. , Cunto, Carmen De , Delai, Patricia , Haga, Nobuhiko , Keen, Richard , Mancilla, Edna E. , Marino, Rose , Strahs, Andrew, Cheung, Angela M , Hsiao, Edward C. , Brown, Matthew , Kannus, Pekka , Sang, Kim‐Hanh Le Quan , Kaplan, Frederick S.

Journal of Bone and Mineral Research | December 30, 2022 | Volume: 38 | Issue: 3 | Pages: 381-394

10.1002/jbmr.4762 | PMID 36583535 Get It

ABSTRACT Fibrodysplasia ossificans progressiva (FOP) is an ultra‐rare, severely disabling genetic disorder of progressive heterotopic ossification (HO). The single‐arm, open‐label, phase 3 MOVE trial (NCT03312634) assessed efficacy and safety of palovarotene, a selective retinoic acid receptor gamma agonist, in patients with FOP. Findings were compared with FOP natural history study (NHS; NCT02322255) participants untreated beyond standard of care. Patients aged ≥4 years received palovarotene once daily (chronic: 5 mg; flare‐up: 20 mg for 4 weeks, then 10 mg for ≥8 weeks; weight‐adjusted if skeletally immature). The primary endpoint was annualized change in new HO volume versus NHS participants (by low‐dose whole‐body computed tomography [WBCT]), analyzed using a Bayesian compound Poisson model (BcPM) with square‐root transformation. Twelve‐month interim analyses met futility criteria; dosing was paused. An independent Data Monitoring Committee recommended trial continuation. Post hoc 18‐month interim analyses utilized BcPM with square‐root transformation and HO data collapsed to equalize MOVE and NHS visit schedules, BcPM without transformation, and weighted linear mixed‐effects (wLME) models, alongside prespecified analysis. Safety was assessed throughout. Eighteen‐month interim analyses included 97 MOVE and 101 NHS individuals with post‐baseline WBCT. BcPM analyses without transformation showed 99.4% probability of any reduction in new HO with palovarotene versus NHS participants (with transformation: 65.4%). Mean annualized new HO volume was 60% lower in MOVE versus the NHS. wLME results were similar (54% reduction fitted; nominal p = 0.039). All palovarotene‐treated patients reported ≥1 adverse event (AE); 97.0% reported ≥1 retinoid‐associated AE; 29.3% reported ≥1 serious AE, including premature physeal closure (PPC)/epiphyseal disorder in 21/57 (36.8%) patients aged <14 years. Post hoc computational analyses using WBCT showed decreased vertebral bone mineral density, content, and strength, and increased vertebral fracture risk in palovarotene‐treated patients. Thus, post hoc analyses showed evidence for efficacy of palovarotene in reducing new HO in FOP, but high risk of PPC in skeletally immature patients. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
AAPM Task Group Report 306: Quality control and assurance for tomotherapy: An update to Task Group Report 148
Chen, Quan , Burmeister, Jay , Chao, Edward, Corradini, Nathan, Followill, D , Liu, An , Qi, X. Sharon , Shi, Hai-Rong, Smilowitz, Jennifer B., Rong, Yi , Li, X. Allen , Shi, Hairong, Smilowitz, Jennifer B.

Medical Physics | December 13, 2022 | Volume: 50 | Issue: 3 | Pages: No page available

10.1002/mp.16150 | PMID 36512742 Get It

AbstractSince the publication of AAPM Task Group (TG) 148 on quality assurance (QA) for helical tomotherapy, there have been many new developments on the tomotherapy platform involving treatment delivery, on‐board imaging options, motion management, and treatment planning systems (TPSs). In response to a need for guidance on quality control (QC) and QA for these technologies, the AAPM Therapy Physics Committee commissioned TG 306 to review these changes and make recommendations related to these technology updates. The specific objectives of this TG were (1) to update, as needed, recommendations on tolerance limits, frequencies and QC/QA testing methodology in TG 148, (2) address the commissioning and necessary QA checks, as a supplement to Medical Physics Practice Guidelines (MPPG) with respect to tomotherapy TPS and (3) to provide risk‐based recommendations on the new technology implemented clinically and treatment delivery workflow. Detailed recommendations on QA tests and their tolerance levels are provided for dynamic jaws, binary multileaf collimators, and Synchrony motion management. A subset of TPS commissioning and QA checks in MPPG 5.a. applicable to tomotherapy are recommended. In addition, failure mode and effects analysis has been conducted among TG members to obtain multi‐institutional analysis on tomotherapy‐related failure modes and their effect ranking.
Association of Early Steroid Administration With Outcomes of Children Hospitalized for COVID-19 Without Multisystem Inflammatory Syndrome in Children
Nadiger, Meghana , McGarvey, Jeremy , Harthan, Aaron A. , Lombardo, Mónica, Perkins, Nicholas , Sayed, Imran A., Bhalala, Utpal , Raju, Umamaheswara, Miller, Aaron S., Boman, Karen , Arteaga, Grace M. , Bansal, Vikas , Tekin, Aysun , Kumar, Vishakha K. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Kovačević, Tanja , Markić, Joško , Ardalic, Tatjana Capitovic , Polić, Branka , Ivić, Ivo, Carev, Dominko , Glavinić, Robert, Vadgaonkar, Girish, Ediga, Rekha, Basety, Shilpa, Dammareddy, Shwetha, Kasumalla, Phani Sreeharsha, Manduva, Janaki, Kolakani, Naresh, Sripathi, Shreeja , Chaitanya, Sheetal, Papani, Sridhar, Kamuram, Mahesh, Mohan, Surapaneni Krishna, Jyothisree, Ekambaram, Petrolwala, Mukur, Ladva, Bharat, Kodate, Akira, Suzuki, Reina , Moriki, Koyo, Hassan-Hanga, Fatimah , Gezawa, Abubakar Shehu, Kabara, Halima M. S., Amole, Taiwo Gboluwaga , Kabir, Halima , Haliru, Dalha Gwarzo, Ibrahim, Abdullahi S., Asghar, Muhammad Sohaib , Syed, Mashaal , Naqvi, Syed Anosh Ali, Yasmin, Farah , Ahmed, Iftekhar , Ishaque, Sidra , Saleem, Ali Faisal , Alarifi, Mohammed I, Macarambon, Jara Mia, Bukhari, Ahmad Abdullah, Albahrani, Hussain A., Aldossary, Kaltham M., Malki, Walid, Kouzoukas, Brenna, Jacobs, Nekaiya, Ganbote, Tejashree, Valentine, Beryl, Sreerama, Pavan, Havalad, Vinod, Barry, Suzanne, Woll, Christopher , Wu, Gregory F. , Carrole, Erin, Burke, Kathryn , Irby, Katherine , Sanders, Ronald C., Hefley, Glenda, Christie, Amy B. , Adiga, Rajani, Campbell, Beth Salvagio , Wilson, Cathleen, Rivers, Patrick , Brinks, Jonathan, Mongoh, Mokenge Ndiva, Gilson, Boris, Danesh, Valerie , 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, Dowell, Corrie A., Gonzales, Gabriela “ Hope”, Flores, Melody, Newman, Lindsay, Wilk, Debora A., Ettlinger, Jason, Bomar, Jaccallene, Darji, Himani, Arroliga, Alejandro C. , Khandhar, Paras B., Kring, Elizabeth, Anderson, Edwin L., Nagy, Rosemary, Inja, Ravali R., Nawathe, Pooja , Tsing, Jennifer, Carr, Karen, Chaudhary, Anila , Guglielmino, Kathleen, Strom, Larisa, Chiotos, Kathleen, Lee, Giyoung , Burnett, Ryan H., Sydney, Guy I. , Traynor, Danielle M., Ahmed, Farzin, Deonarine, Christopher, Jones, Ashley, Shaikh, Mohammad-Ali , Preston, David A. , Chin, Jeanette, Milligan, Patrick S., Koglin, Joy M., Gibson, Regina, Johnson, Lana, Preston, Felicia, Scott, Crimson, Nungester, Bethany, Menter, Sarah, Wasilewski, A., Kaul, Viren , Austin, Praise, Rogner, Jaimie, Russo, Anthony J. , Ontai, Sidney , Contreras, Brian, Obinwanko, Uzoma, Amamasi, Nneka, Sharafi, Amir, Kaufman, Margit, Lobel, G, Gandhi, Nisha, AbdelAty, Amr M. , Shaji, Elizabeth, Lim, Kiana, Marte, Juan M., Sosa, Dani Ashley, Roth, Prerana , Litwin, Alain H. , Pariyadath, Anand, Moschella, Phillip , Llano, Trayson, Salas, Alan, Daube, Ariel , Korn, Michelle, Rajagopalan, Logi, Santos, Laura Jurema dos , Crandall, Christine , Stojanovski, Sasko, Michienzi, Kelly, Amer, Marwa , Dahhan, Talal, Kseibi, Eiad, Butt, Abid, Khurshid, Syed Moazzum, Rabee, Muath, Abujazar, Mohammed, Alghunaim, Razan, Abualkhair, Maal, AlFirm, Abeer Turki, Oulds, Franscene, Nandavar, Akshay, Wen, Andy , DaCar, Allie, Reilkoff, Ronald A., Eichen, Sarah, Goertzen, Lexie, Rajala, Scott, Feussom, Ghislaine, Domecq, Juan Pablo , Sharma, Mayank , Qamar, Shahraz , Morales, Diana J. Valencia , Khan, Syed Anjum , Jain, Nitesh , Wang, Christine, Kotekal, Dhatri, Sendi, Prithvi , Aulakh, Bhagat , Bandy, Jennifer A., Kreps, Lisa M., Bollinger, Dawn R., Nadiger, Meghana, Schauf, Victoria, Rich, Deana, 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, Terrill, Cindy, Montgomery, Brock, Reyes, Sydney A, Reyes, Summer M, Plattner, Alex, Martinez, Anthony , Allison, Micheal, Mittal, Aniket, Ruíz, Rafael Azuar , Skaanland, Aleta, Amzuta, Ioana, Shah, Amish , Modi, Ritu, Al-Khalisy, Hassan, Masuta, Pardeep , Schafer, Melissa , Wratney, Angela, Jones, Tracy L., Ayers, Shonda C., Harrell, Amy B., Brown, Brent R., Malone, Kassidy, Sinko, Lauren A, Hrarrell, Amy B, Settle, Lisa, Sears, Taylor J., Kuehne, Joshua, Garcia, Melinda, Beebe, Morgan, Herrera, Heather , Belden, Katherine A. , Baram, Michael , Weber, Devin , DePaola, Rosalie, Xia, Yuwei , Carter, Hudson, Tolley, A. E., Ferranti, Mary, House, Scott, Aldana, Isabella, Stulce, Casey , Chong, Grace , Ghavam, Ahmeneh , Baslanti, Tezcan Ozrazgat, Omalay, George, Hashemighouchani, Haleh , Cupka, Julie S , Hubbard, Janice, Nazir, Usman, Rampon, Garrett , Riggle, Jake, Dismang, Nathan, Sullivan, Janice, Morris, Sarah, Nason, Jennifer, Rahman, Rania Abdul, Mulrow, Mary, Gál, Tamás, Mahashabde, Manasi, Vagonis, Alexandra , Uber, Rebecca, Mahmud, Haseeb , Leightle, Stefan, Zhang, Zoe, Vissichelli, Nicole C. , O'Meara, A M Iqbal, Rocawich, Katie, Harris, Lynnette , Cusson, Bruce, Reeves, Brandon, Fanelli, Jessica, Disher, Nataya, Samant, Anusha, DeGroot, Chritian, Youshock, Evan, Ligon, R. Miller, McCartney, Katherine, Garcia, Julio, Iloabachie, Chidi, Flores, Kelsey, VanEenenaam, David P., Sands, Lauren , Sweatt, Nia, Fowler, Jacob , Fram, Madeline, Howard, Easton, Johnson, Kathleen N. , Udoh, Imoh, Nosow, Lillian, Howard, Lucy Winesett, Pham, Quan Duc Minh, Irfanullah, Aman, Ong, Tiffany, Enwezor, Chukwunyelu Henry, Dabagian, Hannah, Bansal, Vikas , Asghar, Muhammad S , Tekin, Aysun , Tripathi, Sandeep , Lombardo, Monica, Gharpure, Varsha , Chiotos, Kathleen , Bjornstad, Erica C. , Dapul, Heda , Montgomery, Vicki , Deo, Neha , Gajic, Ognjen , Kashyap, Rahul , Walkey, Allan J. , Group, Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS): COVID-19 Registry Investigator, Itagaki, Yuki , Galadanci, Hadiza , Kabara, Halima Salisu, Syed, Mashaal, Almazyad, Mohammed , Asfina, Kazi Nur , Cooper, Paul R. , Burke, Kathryn, Mohammed, Mustafa, Ashley, Dennis W. , Mosier, Jarrod , Lutrick, Karen , Dubrocq, Gueorgui , Nagy, Rosemary, Inja, Ravali R., Pedraza, Isabel , Carr, Karen, Gist, Katja M. , Chiotos, Kathleen, Blatz, Allison M. , Cheruku, Sreekanth , Preston, David, Gupta, Sandeep , Abdelaty, Amr, Rennert, Lior , Ramírez, Michelle , Verma, Sourabh , Stojanovski, Sasko D., Johnson, Kristin, Bawazeer, Mohammed Abdullah , Gupta, Manoj , Heneghan, Julia A. , Tang, Ben, Lal, Amos , O’Horo, John C. , Singh, Romil , Koritala, Thoyaja , Tarabichi, Yasir , Perzynski, Adam T. , Wang, Christine, Totapally, Balagangadhar , Nadiger, Meghana, Wall, Chris, Menon, Shina , McGuire, John K. , Anderson, Harry L., Miller, Judy, Lin, John C. H. , Montgomery, Brock, Ruiz, Rafael, Ross, Robert, Gupta, Neha , Brown, Brent , Tolley, Aaron, Tofil, Nancy M. , Mayampurath, Anoop , Bihorac, Azra , Ruppert, Matthew M. , McGonagill, Patrick W. , Galet, Colette , Wang, David , Allan, Lauren , Badheka, Aditya V. , Chegondi, Madhuradhar , Sullivan, Janice, Nason, Jennifer, Akhter, Murtaza , Kashiouris, Markos , Gal, Tamas, Karam, Oliver , Carvalho, Heloisa De, Khanna, Ashish K. , Garcia, Julio, Robinson, Samuel, Enwezor, Chukwunyelu Henry , Mendoza, Rafael

JAMA Pediatrics | October 3, 2022 | Volume: 176 | Issue: 12 | Pages: 1208

10.1001/jamapediatrics.2022.3611 | PMID 36190706 Get It

ImportanceThere is limited evidence for therapeutic options for pediatric COVID-19 outside of multisystem inflammatory syndrome in children (MIS-C).ObjectiveTo determine whether the use of steroids within 2 days of admission for non–MIS-C COVID-19 in children is associated with hospital length of stay (LOS). The secondary objective was to determine their association with intensive care unit (ICU) LOS, inflammation, and fever defervescence.Design, Setting, and ParticipantsThis cohort study analyzed data retrospectively for children (&amp;lt;18 years) who required hospitalization for non–MIS-C COVID-19. Data from March 2020 through September 2021 were provided by 58 hospitals in 7 countries who participate in the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 registry.ExposureAdministration of steroids within 2 days of admission.Main Outcomes and MeasuresLength of stay in the hospital and ICU. Adjustment for confounders was done by mixed linear regression and propensity score matching.ResultsA total of 1163 patients met inclusion criteria and had a median (IQR) age of 7 years (0.9-14.3). Almost half of all patients (601/1163, 51.7%) were male, 33.8% (392/1163) were non-Hispanic White, and 27.9% (324/1163) were Hispanic. Of the study population, 184 patients (15.8%) received steroids within 2 days of admission, and 979 (84.2%) did not receive steroids within the first 2 days. Among 1163 patients, 658 (56.5%) required respiratory support during hospitalization. Overall, patients in the steroids group were older and had greater severity of illness, and a larger proportion required respiratory and vasoactive support. On multivariable linear regression, after controlling for treatment with remdesivir within 2 days, country, race and ethnicity, obesity and comorbidity, number of abnormal inflammatory mediators, age, bacterial or viral coinfection, and disease severity according to ICU admission within first 2 days or World Health Organization ordinal scale of 4 or higher on admission, with a random intercept for the site, early steroid treatment was not significantly associated with hospital LOS (exponentiated coefficient, 0.94; 95% CI, 0.81-1.09; P = .42). Separate analyses for patients with an LOS of 2 days or longer (n = 729), those receiving respiratory support at admission (n = 286), and propensity score–matched patients also showed no significant association between steroids and LOS. Early steroid treatment was not associated with ICU LOS, fever defervescence by day 3, or normalization of inflammatory mediators.Conclusions and RelevanceSteroid treatment within 2 days of hospital admission in a heterogeneous cohort of pediatric patients hospitalized for COVID-19 without MIS-C did not have a statistically significant association with hospital LOS.
Creating Computer Vision Models for Respiratory Status Detection
Chaudri, Jamil, Do, Quan T.

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) | September 8, 2022 | Volume: No volume available | Issue: No issue available | Pages: 1350-1353

10.1109/embc48229.2022.9871978 | PMID 36086309 Get It

American Association of Endocrine Surgeons Guidelines for Adrenalectomy
Wachtel, Heather , Lee, Cortney, Velázquez‐Fernández, David , Berber, Eren, Hammer, Gary D. , Marko, Jamie , Hughes, Marybeth S., Han, Mi Ah , Smith, Philip W. , Wilhelm, Scott M., Fahey, Thomas J. , McKenzie, Travis J. , Strong, Vivian E. , Yip, Linwah , Duh, Quan‐Yang , Jiménez, Camilo , Sturgeon, Cord , Berber, Eren , Bancos, Irina , Lee, James A. , Morris, Lilah F. , Livhits, Masha Jean , Smith, Philip W., Sylvia, L. , Perrier, Nancy D.

JAMA Surgery | August 17, 2022 | Volume: 157 | Issue: 10 | Pages: 870

10.1001/jamasurg.2022.3544 | PMID 35976622 Get It

ImportanceAdrenalectomy is the definitive treatment for multiple adrenal abnormalities. Advances in technology and genomics and an improved understanding of adrenal pathophysiology have altered operative techniques and indications.ObjectiveTo develop evidence-based recommendations to enhance the appropriate, safe, and effective approaches to adrenalectomy.Evidence ReviewA multidisciplinary panel identified and investigated 7 categories of relevant clinical concern to practicing surgeons. Questions were structured in the framework Population, Intervention/Exposure, Comparison, and Outcome, and a guided review of medical literature from PubMed and/or Embase from 1980 to 2021 was performed. Recommendations were developed using Grading of Recommendations, Assessment, Development and Evaluation methodology and were discussed until consensus, and patient advocacy representation was included.FindingsPatients with an adrenal incidentaloma 1 cm or larger should undergo biochemical testing and further imaging characterization. Adrenal protocol computed tomography (CT) should be used to stratify malignancy risk and concern for pheochromocytoma. Routine scheduled follow-up of a nonfunctional adrenal nodule with benign imaging characteristics and unenhanced CT with Hounsfield units less than 10 is not suggested. When unilateral disease is present, laparoscopic adrenalectomy is recommended for patients with primary aldosteronism or autonomous cortisol secretion. Patients with clinical and radiographic findings consistent with adrenocortical carcinoma should be treated at high-volume multidisciplinary centers to optimize outcomes, including, when possible, a complete R0 resection without tumor disruption, which may require en bloc radical resection. Selective or nonselective α blockade can be used to safely prepare patients for surgical resection of paraganglioma/pheochromocytoma. Empirical perioperative glucocorticoid replacement therapy is indicated for patients with overt Cushing syndrome, but for patients with mild autonomous cortisol secretion, postoperative day 1 morning cortisol or cosyntropin stimulation testing can be used to determine the need for glucocorticoid replacement therapy. When patient and tumor variables are appropriate, we recommend minimally invasive adrenalectomy over open adrenalectomy because of improved perioperative morbidity. Minimally invasive adrenalectomy can be achieved either via a retroperitoneal or transperitoneal approach depending on surgeon expertise, as well as tumor and patient characteristics.Conclusions and RelevanceTwenty-six clinically relevant and evidence-based recommendations are provided to assist surgeons with perioperative adrenal care.