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26 citation(s) found for "Patel, Jay".

How Are We Matching in ACL Reconstruction Research? A Systematic Review of Methods, Reporting, and Covariate Selection
Patel, Jay A. , Holle, Alejandro M. , Halpin, Brooke S. , Tummala, Sailesh V. , Patel, Jay R , Holle, Alejandro , Tummala, Sailesh V , Patel, Karan A. , Chhabra, Anikar

Mayo Clinic

Orthopaedic Journal of Sports Medicine | July 6, 2026 | Volume: 14 | Issue: 7 | Pages: No page available

10.1177/23259671261444318 | PMID 42416047 Get It

Background: Matching techniques such as direct covariate matching and propensity score matching (PSM) are increasingly used in anterior cruciate ligament reconstruction (ACLR) research to reduce bias in observational study designs. However, the rationale for covariate selection, consistency in methodological reporting, and patterns of matching practices remain unclear. Purpose: To systematically evaluate covariate matching practices in ACLR literature, including the types and number of covariates used, methodological transparency, and trends in matching strategies. Study Design: Systematic review. Methods: A systematic literature search of the PubMed, EMBASE, and Cochrane databases was conducted to evaluate covariate matching practices in the ACLR literature. A comprehensive search identified 798 unique studies, of which 97 met eligibility criteria. Data were extracted on study design, matching technique, covariate inclusion, reporting practices, and matching ratios. Descriptive and comparative statistics were used to summarize trends. Results: The 97 included studies encompassed 91,165 ACLRs. Most studies were retrospective (90.7%) and cohort in design (92.8%). PSM was used in 41 studies (42.3%), while 56 (57.7%) used direct matching. A total of 60 unique covariates were used across 76 different combinations. PSM studies used significantly more covariates than direct matching studies (6.17 ± 2.79 vs 3.75 ± 1.63; P < .0001), and database studies used more covariates than single-center studies (6.33 ± 2.89 vs 4.08 ± 1.96; P < .0001). The most commonly used covariates were age (96.9%), sex (84.5%), and body mass index (41.2%). Only 6 studies (6.2%) provided justification for covariate selection. The most frequent matching ratio was 1:1 (73.2%). While most studies reported descriptive statistics after matching (95.9%), only 10.3% did so before matching, and 13.4% failed to report prematching sample size. Conclusion: Matching practices in ACLR studies remain highly variable, with limited justification provided for covariate selection. PSM and database-based studies tend to incorporate a greater number of covariates, yet reporting of matching methodology is often inconsistent. To enhance the quality, reproducibility, and comparability of ACLR research, future studies should adopt standardized reporting practices for matching, including explicit descriptions of covariate selection, matching algorithms, balance diagnostics, and match ratios. These steps can serve as a foundation for a more unified research framework, enabling future studies to collectively generate higher quality, generalizable evidence for ACLR outcomes.
Burden and impact of pulmonary embolism in young adults hospitalized with sarcoidosis: Underreported data from nationwide analysis (2016–2020)
Bhanushali, Aditi , Suchday, Pooja, SURA, HARSH, Patel, Jay, Chunduru, Lohithasya Chowdary, Kari, Moulika, Sampath, Shrikanth , Chilingarashvili, Giorgi , Desai, Rupak, Bhanushali, Aditi K, Suchday, Pooja , Desai, Rupak

Mayo Clinic

Lung India | December 31, 2025 | Volume: 43 | Issue: 1 | Pages: 57-61

10.4103/lungindia.lungindia_375_25 | PMID 41474429 Get It

Background: Studies in the past have demonstrated an association between sarcoidosis and pulmonary embolism (PE), but little is known about its impact, especially in young adults. We aim to determine the burden and impact of PE in young adults hospitalized with sarcoidosis. Methods: This study investigates the prevalence and consequences of PE in young adults aged 18–44 years hospitalized with sarcoidosis using data from the National Inpatient Sample (2016–2020) with relevant International Classification of Diseases (ICD)-10 codes. This study aims to address the primary outcomes of the burden and trends of PE and its associated impact on in-hospital mortality. Additionally, it explores secondary outcomes such as healthcare resource utilization and discharge patterns. Results: Among 50,385 young adults (median age 37 years) hospitalized with sarcoidosis, 1120 had PE, showing a linear increase from 2% in 2016 to 2.9% ( P < 0.001) in 2020. The sarcoidosis–PE+ group, predominantly in young blacks, exhibited a higher prevalence of comorbidities such as obesity, smoking, drug use, peripheral vascular disease, hypothyroidism and prior history of venous thrombus embolism. In contrast, the sarcoidosis–PE− group had a higher prevalence of diabetes (with/without chronic complication), hyperlipidemia and chronic pulmonary disease. Multivariable regression analysis adjusted for all potential sociodemographic and comorbid variables showed higher odds of all-cause mortality (odds ratio [OR]: 2.92, 95% confidence interval [CI]: 1.18–7.24, P < 0.02) in the sarcoidosis–PE+ group as compared to the sarcoidosis–PE− group. The sarcoidosis–PE+ group also had higher hospital costs and length of stay. Conclusion: The higher odds of in-hospital mortality with an increased length of stay and hospital cost observed in the sarcoidosis–PE+ group highlight the often underreported complications of sarcoidosis, particularly in a younger demographic. The relevance of this study stems from its potential to uncover trends that could lead to improved diagnostic and therapeutic strategies.
Abstract TH208: Evaluating The Accuracy Of Cuffless Devices In Ambulatory Blood Pressure Monitoring: A Systematic Review And Meta-Analysis
Suchday, Pooja , Shah, Heer , Bhanushali, Aditi , Shah, Aalesh, Bajpai, Prakhar, Patel, Nish , Patel, Jay, Bajpai, Prakhar

Mayo Clinic

Hypertension | October 16, 2025 | Volume: 82 | Issue: Suppl_1 | Pages: No page available

10.1161/hyp.82.suppl_1.th208 Get It

Introduction: Hypertension is an important modifiable risk factor for cardiovascular diseases. Cuffless blood pressure monitors (CL-BPMs) have emerged as convenient alternatives to traditional cuff-based monitors (C-BPMs). We aim to compare both modalities quantitatively and elaborate on the diagnostic accuracy of CL-BPM. We also discuss the need to address shortcomings of CL-BPMs that limit their current use in widespread clinical practice. Methods: We pooled data from 14 studies that simultaneously compared CL-BPM and C-BPM for ambulatory blood pressure monitoring (ABPM). The results were reported as mean differences (MD) in systolic and diastolic blood pressures (SBP and DBP) between the two modalities. Inverse variance weighted analysis was used to calculate pooled estimates. Tau 2 and I 2 statistics were used to assess heterogeneity. Results: A total of 1011 participants were included. Meta-analysis showed a 24-hour MD of 3.18 [95% CI 1.18-5.19, P=0.002] for SBP and 1.79 [95% CI (-0.43)-4, P=0.11] for DBP, with moderate and high heterogeneity (I 2 = 45% and 78%), respectively. MD in daytime SBP and DBP between the two modalities were 2.52 [95% CI 0.41-4.63, P=0.02] and 0.89 [95% CI (-1.17)-2.96, P=0.4], respectively. An MD of 9.02 [95% CI 4.56-13.49, P<0.0001] was observed for nighttime SBP, whereas it was 6.67 [95% CI 2.59-10.75, P=0.001] for nighttime DBP. Our findings suggest a significant difference in means of 24h SPB, day SBP, night SBP, and DBP between the two modalities, suggesting that cuffless monitors are not on par with cuffed monitors for these measurements. However, there was no significant difference in the means of 24-hour DBP and daytime DBP between the two modalities, suggesting that the cuffless devices were as accurate as the cuffed monitors in these scenarios. Conclusion: CL-BPMs showed an overall significant MD in BP compared to the standard C-BPM. Although the CL-BPM may be convenient, user-friendly, and help eliminate limb-circumference-based cuff sizing, it has some challenges. These include complex calibration protocols; accuracy concerns in several subgroups like individuals with dark skin tone, obesity, and pregnancy; and inability to track BP during sleep, exercise, and while on antihypertensives. Substantial heterogeneity in the results indicates a lack of standardized validation protocols. Detailed studies and subgroup analyses are required to validate these devices before their widespread use in clinical practice.
Karyotypic clonal fraction predicts adverse outcome in TP53 -mutated myeloid neoplasms: an International TP53 investigators Network (iTiN) study
Pandiri, M, Stengel, Anna , Shao, Haipeng , Velmurugan, S. , Jacob, Anisha, Symes, Emily , Kaur, Amandeep , Rojek, Alexandra E. , Sojitra, Payal , Wiredja, Danica , Chang, Hong , Patil, Esha, Patel, Jay , Patel, Ami B. , Pan, Zenggang , Findley, Anthony, Badar, Talha , Tariq, Hamza , Sallman, David A. , Bell, Robert , Perry, Anamarija M. , Fitzpatrick, Carrie , Pandiri, Madhavi , Zhou, Qianghua , Venkataraman, Girish , Badar, Talha , Rojek, Alexandra E , Zhang, Jingjing , Wang, Peng , Shao, Haipeng, Jacob, Anisha, Menon, Madhu P , Ghosh, Sharmila , Wool, Geoffrey D. , Arber, Daniel A. , Findley, Anthony, Haferlach, Claudia

Mayo Clinic

Journal of Clinical Pathology | June 26, 2025 | Volume: 78 | Issue: 9 | Pages: 629-635

10.1136/jcp-2024-209954 | PMID 40571403 Get It

We investigated the prognostic impact of blast counts, TP53 allelic state determinants (number of hits, del(17p), variant allele frequency, complex karyotype),and a novel karyotypic clonal cell fraction (≤50% clonal cells vs >50% clonal cells (termed ‘CK50’)) in 495 individuals with TP53- mutated ( TP53 MUT ) myeloid neoplasms. Outcome examined was 24-month survival (OS24). The cohort (median age 71) included 29% (144/495) myelodysplastic syndromes (MDS)/MDS-acute myeloid leukaemia (AML) (1%–19% blasts) and 71% (351/495) AML (≥20% blasts), with 18% (81/460) having low CK50. Overall, 83% received front-line hypomethylating agents. Higher blast counts (<20% vs ≥20%) were marginally associated with CK50 (p=0.08). In the OS24 analysis, blast count showed a marginal association with OS24 (HR 1.3 (95% CI 1.0 to 1.6); p=0.07), while CK50 predicted significantly inferior outcomes (HR=1.7 (95% CI 1.2 to 2.3); p=0.002). In a multivariable model including all TP53 allelic state determinants, only CK50 and complex karyotype remained relevant for predicting adverse outcomes.
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

Mayo Clinic

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 | PMID 40406922 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Usability of the Mayo Test Drive remote self-administered web-based cognitive screening battery in adults aged 35–100 with and without cognitive impairment
Christianson, Teresa J., Monahan, Logan T., Frank, Ryan D. , Fan, Winnie Z. , Stricker, John L. , Kremers, Walter K. , Karstens, Aimee J. , Fields, Julie A. , Hassenstab, Jason , Jack, Clifford R. , Botha, Hugo, Graff-Radford, Jonathan, Petersen, Ronald C., Patel, Jay S., Stricker, Nikki H , Jack, Clifford R , Hassenstab, Jason , Kremers, Walter K , Patel, Jay Sureshbhai , Karstens, Aimee James , Machulda, Mary M. , Botha, Hugo , Graff‐Radford, Jonathan , Petersen, Ronald C. , Stricker, Nikki H.

Mayo Clinic

Journal of Clinical and Experimental Neuropsychology | February 20, 2025 | Volume: 47 | Issue: 1-2 | Pages: 67-89

10.1080/13803395.2025.2464633 | PMID 39976252 Get It

Updated Efficacy and Safety Results of Patients Receiving Selected 100mg Bezuclastinib Dose and Participating in the Open-Label Extension of Summit: A Randomized, Double-Blind, Placebo Controlled Phase 2 Clinical Trial of Bezuclastinib in Adult Patients wi
Rein, Lindsay , Cridtina, Bulai Livideanu, Üstün, Celalettin , Boggs, Nathan, Kirshenbaum, Arnold S. , Dybedal, Ingunn , Yi, Cecilia Y. Arana , Herrscher, Richard, Patel, Jay , Sun, Lei, Shah, Nisha , Zhang, Jenna, Pilla, Amanda, DeAngelo, Daniel J. , Modena, Brian D. , Oh, Stephen T. , Boggs, Nathan, Manning, Michael, Hunter, Anthony M. , Akin, Cem , Yi, Cecilia Arana , Castells, Mariana , Lansigan, Frederick , George, Tracy I. , Shah, Nisha, Singh, Priya , Carden, Marcus A. , Siebenhaar, Frank , Bose, Prithviraj

Mayo Clinic

Blood | December 6, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 4556-4556

10.1182/blood-2024-194551 Get It

Background: Systemic mastocytosis (SM) is a rare disease characterized by neoplastic mast cell (MC) infiltration of extracutaneous tissues. Nonadvanced SM (NonAdvSM) is associated with debilitating symptoms which may significantly reduce health-related quality of life (HRQoL). In up to 95% of patients (pts), SM is driven by the somatic KIT c.2447 A&gt;T (p.D816V) missense mutation. Bezuclastinib (bezu; CGT9486) is an oral, potent, small molecule, selective type 1 tyrosine kinase inhibitor (TKI) with activity against KIT D816V. Results from Part 1 of the 3-part Summit trial demonstrated that bezu is well-tolerated and is associated with encouraging clinical activity, including both reduced MC burden and improvement in symptoms over a 12-week (wk) period vs placebo (PBO). Based on safety, PK, biomarker, and efficacy results, a dose of 100mg QD bezu (optimized formulation) was selected for Summit Part 2. Trial Design and Methods: Summit (NCT05186753) is a multi-center, Phase 2, double-blind, PBO-controlled RCT of bezu in pts with NonAdvSM who have inadequate control of symptoms despite treatment with best supportive care (BSC). A novel pt-reported outcome measure, the Mastocytosis Symptom Severity Daily Diary (MS2D2), was designed to assess disease-specific symptom severity in NonAdvSM pts. Eleven symptoms are included in the MS2D2 Total Symptom Score (TSS). Summit Part 1a randomized pts 1:1:1 to PBO, 100mg, or 200mg, original formulation while Part 1b randomized 1:1:1 to PBO, 100mg, or 150mg, optimized formulation. Pts completing Part 1 of the Summit trial were allowed to receive bezu in the open-label extension (OLE) Part 3 of the trial. Results: As Part 2 will evaluate safety and efficacy of 100 mg bezu at 24 wks, this abstract reports on pts treated with both bezu formulations at 100mg in Parts 1a or 1b, which had similar PK exposures. The presentation will focus on 24-wk outcomes in pts receiving the selected 100 mg bezu dose and participating in the OLE. In Summit Part 1, 19 pts received PBO and 18 received 100 mg bezu for 12 wks. At baseline (BL), the symptoms identified as most severe were within the skin and fatigue domains. At BL, pts were managing their symptoms of NonAdvSM with 2 (43%), 3 (24%), or ≥4 (32%) BSC medications. At the 12-wk assessment in Part 1 (datacut 18Dec2023), the safety and tolerability profile was encouraging, with the majority of TEAEs low grade and reversible without dose modification. The most common TEAEs (&gt;10% in 100 mg bezu) included hair color changes, nausea, diarrhea, peripheral edema, GERD, taste disorder, and neutropenia. There were no reported bleeding or cognitive impairment events. Of 37 pts randomized to PBO or 100 mg QD bezu, 36 (97%) received bezu in the OLE; one pt randomized to the 100 mg original formulation dose reduced and subsequently discontinued due to TEAE of ALT increase. All 19 PBO pts (100%) crossed over to receive bezu in the OLE; of these, 9 were randomized to the 100mg QD bezu dose. Reduction in MC burden was robust among those treated with 100mg bezu - 94.4%, 100%, and 92.3% of pts had at least a 50% reduction in basal serum tryptase, KIT p.D816V variant allele frequency, and bone marrow MCs, respectively. Pts treated with 100 mg bezu had reduction in MS2D2 TSS by 49.1% vs 21.1% with PBO. On a 0-10 scale, the most severe MS2D2 symptom mean change from BL was -3.03 from a BL mean of 7.6 with bezu vs -1.04 from a BL mean of 7.7 with PBO. Individual symptoms of the MS2D2 TSS, as well as others not in the TSS including diarrhea and brain fog, improved more with bezu than with PBO; mean change from BL ranged from -1.66 to -2.69 with bezu vs. a range of -0.52 to -1.58 with PBO. LS mean change from BL in quality of life (Mastocytosis (MC)-QoL, a disease-specific measure) was -22.05 in pts treated with 100mg bezu versus -10.71 in pts treated with PBO. Objective measurements of skin lesions, including centrally adjudicated longitudinal assessments of skin photography, also significantly reduced on bezu. Conclusions: In Part 1 (12 wk assessment), treatment with 100mg bezu resulted in favorable safety and tolerability, significant and deep reductions across all markers of MC burden, and clinically meaningful reduction in all individual MS2D2 TSS symptoms and across domains. The presentation will report on durability and safety/tolerability data beyond 12 wks for those pts randomized to 100 mg in Part 1 and pts who crossed over from PBO in Part 1 to 100mg in Part 3. Summit Part 2 is actively enrolling.
Apex Part 2 Trial in Progress: A Phase 2 Open-Label Clinical Study of Bezuclastinib in Adult Patients with Advanced Systemic Mastocytosis
Goncalves, Isaac , Fuller, Stephen J. , Vachhani, Pankit , Pullarkat, Vinod , Panse, Jens , Ng, Teng Fong , Piris‐Villaespesa, Miguel , Tashi, Tsewang , Yi, Cecilia Y. Arana , Pomares, Helena , Patel, Jay , Cridtina, Bulai Livideanu, Schwaab, Juliana , Dybedal, Ingunn , Lambert, Jonathan, Wierzbicka-Hainaut, E. , Deininger, Michael W. , Pilla, Amanda, Radia, Deepti , Gotlib, Jason , DeAngelo, Daniel J. , Klein, Saskia K. , Sperr, Wolfgang R. , Hartmann, Karin , Shoumariyeh, Khalid , Hunter, Anthony M. , Bose, Prithviraj , Yi, Cecilia Arana , Jain, Manish Kumar , George, Tracy I. , Papayannidis, Cristina , Taparia, Minakshi , Lambert, Jonathan , Jain, Tania , Hermine, Olivier , Bonifacio, Massimiliano , Hobbs, Gabriela , Carden, Marcus A.

Mayo Clinic

Blood | December 5, 2024 | Volume: 144 | Issue: Supplement 1 | Pages: 4569.1-4569.1

10.1182/blood-2024-194550 Get It

Background and Significance: Systemic mastocytosis (SM) is a rare heterogeneous disease characterized by the aberrant accumulation of neoplastic mast cells (MC). In about 95% of adult patients, SM is driven by a gain-of-function mutation (D816V) in exon 17 of KIT. Advanced SM (AdvSM) is a life-threatening form of SM and includes three subtypes: aggressive SM (ASM), SM with an associated hematologic neoplasm (SM-AHN), and mast cell leukemia (MCL). Despite improvement in disease control with approval of tyrosine kinase inhibitors (TKIs), there is still unmet need for improved tolerability and efficacy in AdvSM treatments. Bezuclastinib, an oral and selective type 1 TKI that potently inhibits KIT D816V, is being studied in patients diagnosed with AdvSM in the Apex study (NCT04996875). Results from the Part 1 dose optimization portion of Apex were presented previously. Part 1 randomized 32 patients 1:1:1:1 to receive bezuclastinib at 50, 100, or 200 mg BID or 400 mg QD. Initial results from the Part 1 dose optimization portion of the Apex trial in patients with AdvSM demonstrated encouraging safety profile and signs of clinical activity, as well as deep reductions across biomarkers of MC burden including bone marrow MC burden, serum tryptase levels, and KIT D816V variant allele fraction (VAF). In addition, 94%, 93%, and 100% of patients demonstrated ≥50% reduction in serum tryptase, KIT D816V VAF, and bone marrow MC burden, respectively. Exposure achieved with 100 mg BID of bezuclastinib original formulation resulted in optimal efficacy and safety outcomes. 150 mg QD of an optimized formulation is expected to deliver bezuclastinib exposures consistent with the 100 mg BID of the original formulation. Part 2 is further evaluating the efficacy and safety of bezuclastinib in patients with AdvSM at the selected Part 2 dose of 150mg QD of the optimized formulation. Study Design and Methods: Apex is a multicenter, Phase 2 open-label study of bezuclastinib in patients with AdvSM as defined per the WHO criteria. Enrollment includes previously treated and treatment-naïve patients. Part 2 is enrolling approximately 65 patients including up to 15 patients without measurable mIWG C-findings. The Part 2 expansion portion of the Apex study is designed to evaluate the efficacy and safety of bezuclastinib in patients with AdvSM, including ASM, SM-AHN, or MCL. Key eligibility criteria include measurable disease (centrally adjudicated) according to modified IWG-MRT-ECNM criteria and clinically acceptable laboratory values including platelet count ≥50,000/µL. The primary efficacy endpoint of Part 2 is overall response rate (ORR = complete response [CR] + complete remission with partial hematologic recovery [CRh] + partial response [PR] + clinical improvement [CI]) per mIWG-MRT-ECNM criteria according to mIWG-MRT-ECNM response criteria and will be confirmed by a Central Response Review Committee. Secondary endpoints include further characterization of safety and tolerability, pure pathologic response, biomarker response (including changes in bone marrow MC burden, serum tryptase level, and KIT D816V mutational burden), duration of response, time to response, progression-free survival, and overall survival (OS). Apex Part 2 is actively enrolling. Study sites are enrolling in North America, Asia-Pacific, and Europe. In addition, a high-risk SM-AHN sub-study assessing the safety and feasibility of the combination of bezuclastinib 150 mg QD and azacitidine may enroll up to 20 patients who are currently receiving or indicated for azacitidine and have biopsy-proven SM with an associated high- or very high-risk myeloid neoplasm. Patients with SM-AHN from Part 1 or Part 2 who have demonstrated AHN progression may enroll in an additional rollover cohort to receive bezuclastinib with concomitant azacitidine or hydroxyurea.
Rapid growth of acquired UBA1 mutations predisposes male patients to low-risk MDS
Li, Peng , Fnu, Alnoor, Xie, Wei , Williams, Margaret S., Feusier, Julie Feusier, Zhao, Xiangrong, Zheng, Gang , Zieski, Arthur, Tantravahi, Srinivas K. , Tashi, Tsewang , Patel, Jay , Miles, Rodney R., Jacobsen, Jeffrey, Sborov, Douglas W. , Szankasi, Philippe , Rindler, Paul M., Close, Devin , Ohgami, Robert S. , Li, Peng , Alnoor, Fnu , Williams, Margaret C. , Feusier, Julie , Ding, Yi , Zhao, Chen , Zieske, Arthur W., Zu, Youli , Raess, Philipp W. , Osman, Afaf E.G. , Patel, Ami B. , Matynia, Anna P., Menon, Madhu P , Jacobsen, Jeffrey, George, Tracy I.

Mayo Clinic

No container title available | May 23, 2024 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-4397067/v1 Get It

Abstract VEXAS (vacuoles, E1-ubiquitin-like modifier activating enzyme, X-linked, autoinflammatory, somatic) syndrome is a recently described autoinflammatory disorder caused by acquired UBA1 mutations in hematopoietic precursor cells. The prevalence, clinical significance, and genomic landscape of UBA1variants in patients with hematologic malignancies (HM) remains unexplored. We analyzed the genomic profiles of 86 patients carrying 17 different UBA1variants amongst an unbiased cohort of 8,976 HM patients. Specific genetic and clinical features seen more frequently in patients with UBA1 pathogenic variants (PV) versus those with variants of uncertain significance (VUS) included: marked male predominance (98% versus 80%, P=0.002), macrocytic anemia (MCV 105 ± 1.4 fl versus 96 ± 1.4 fl, p=0.01), frequent dominant clones without concurrent somatic variants (53% versus 15%, p=0.004), and association with molecularly distinct low-risk myelodysplastic syndrome (MDS; 13%) with superior overall survival (OS). Interestingly, while the genetic profiles of UBA1 PV patients resemble patients with clonal cytopenia of unknown significance (CCUS), rapid UBA1 clonal expansion predispose patients to convert to low-grade MDS with a notably hastened progression compared to UBA1 wild-type CCUS. This “clone surge to clinical stability” (CS) is a mechanism that emphasizes the unique pathobiology of UBA1mutations in VEXAS and supports it as a distinct entity.