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8 citation(s) found for "Lee, Cecilia".

A novel approach to defining progression in MDS and precursor myeloid conditions in the MDS Natural History Study
DeZern, A. E., Otterstatter, Michael , Abel, Gregory A., Padron, Eric , Deeg, H. Joachim, Baghdadi, Tareq Al, Liu, Jane Jijun, Zhang, L, Kroft, Steven H. , Harrington, Alexandra M., Foran, J., Komrokji, Rami S., Starczynowski, Daniel T, Gore, Steven D, Saber, Wael, Bejar, Rafael, Lindsley, R. Coleman, Sherman, Seth, Lee, Cecilia , DiFronzo, Nancy, Sekeres, Mikkael A, Zhang, Ling , Gillis, Nancy , Otterstatter, Michael , Deeg, H Joachim , Zhang, Ling , Kroft, Steven H , Komrokji, Rami S , Bejar, Rafael , Lindsley, R Coleman , Sherman, Seth , Sekeres, Mikkael A , Baghdadi, Tareq Al , Dezern, Amy Elizabeth , Abel, Gregory A. , Deeg, H. Joachim , Xie, Zhuoer , Moscinski, Lynn C. , Foran, James M. , Komrokji, Rami S. , Starczynowski, Daniel T. , Gore, Steven D. , Saber, Wael , Walter, Matthew J , Sekeres, Mikkael A.

Mayo Clinic

Blood Advances | February 11, 2026 | Volume: 10 | Issue: 8 | Pages: 2743-2753

10.1182/bloodadvances.2025018770 | PMID 41671442 Get It

Abstract Patients at risk for progression from myeloid precursor states (idiopathic cytopenia of undetermined significance [ICUS] and clonal cytopenia of undetermined significance [CCUS]) to myelodysplastic syndrome (MDS) are not well defined. Epidemiologic risk factors, clonal changes for MDS development, and evolution from one MDS state to another were available in the MDS Natural History Study (NHS), a prospective cohort enrolled at diverse US sites. Extensive clinical data and biospecimens were collected at baseline and follow-up. A total of 1177 (56%) individuals with MDS or MDS-related precursor conditions (ICUS/idiopathic dysplasia of undetermined significance [IDUS], CCUS, and MDS/myeloproliferative neoplasm overlap) were enrolled and diagnosed in the MDS NHS. The median age was 74 years, with 89% aged ≥60 years, and most were male patients. Median follow-up time was 1.6 years and was similar among ICUS/IDUS, CCUS, and MDS. During follow-up period, 68% of participants terminated the study, 35% died, and 38% had disease progression. Using a refined clinical definition of progression, the greatest proportion of progression was observed among higher-risk-MDS (116 [73%]), followed by lower-risk-MDS (170 [52%]); fewer progression events were observed among participants with CCUS (65 [22%]) and ICUS/IDUS (46 [17%]). Predictors of progression are delineated, including female sex, higher quantity of mutations, the presence of TP53 mutation, and poor/very poor cytogenetic score. Based on these prospective data, guidelines for clinical management including monitoring and surveillance are outlined. The MDS NHS provides real-world data to illustrate how clinical and genotypic differences inform the classification, disease course, and approach to therapy, with informed monitoring guidelines for patients. This trial was registered at www.ClinicalTrials.gov as NCT02775383.
Research Code Sharing in Support of Gold Standard Science
Klonoff, David C., Espinoza, Juan, Mader, Julia K., Heinemann, Lutz, Cobelli, Claudio, Kerr, David , Kovatchev, Boris, Najafi, Bijan , Prahalad, Priya , Zheng, Yaguang , Shao, Mandy M. , Scheideman, Agatha F. , DuNova, Ashley Y. , Kohn, Michael , Umpierrez, Guillermo E., Malek, Aiman Abdel, Agus, Michael S. D., Ahn, David T., AlSaad, Rawan , AL-SOFIANI, MOHAMMED, Armstrong, David, Arnold, Mark A., Bequette, B. Wayne , Bellazzi, Riccardo, Cengiz, Eda, Chase, J. Geoffrey, Chen, Jake Y. , Cichosz, Simon Lebech , Clements, Mark A. , Close, Kelly L., Cuadros, Jorge , Contreras, Ivan, Drincic, Andjela , Facchinetti, Andrea, Fleming, G. Alexander , Gabbay, Monica A. L., Healey, Elizabeth, Hoang, Thanh D., Kulzer, Bernhard, Belle, Jeff La, Lee, Aaron, Lee, Cecilia S., Lee, Wei-An , Liepmann, Dorian , Maahs, David M. , Mathioudakis, Nestoras, Metwally, Ahmed A., Mohan, Viswanathan, Moon, Sun-Joon, Raeder, Helge, Rhee, Connie, Rhee, Eun-Jung, Scheinker, David , Shah, Viral N., Snyder, Michael P., Sode, Koji, Spanakis, Elias K., Svensson, Jannet, Vaswani, Nitin, Vareth, Maryam, Wallia, Amisha , Wang, Tao, Williams, Ebonie, Wolf, Ruth, Wong, Jenise C., Yeshiwas, Sewagegn, Shah, Shahid N. , Cobelli, Claudio , Snyder, M , Kovatchev, Boris , Heinemann, Lutz , Espinoza, Juan , Mathioudakis, Nestoras , Mader, Julia K. , Klonoff, David C , Espinoza, Juan , Mader, Julia K , Heinemann, Lutz , Cobelli, Claudio , Kovatchev, Boris , Umpierrez, Guillermo E. , Wong, Tien Y , Abdel Malek, Aiman , Agus, Michael S D , Ahn, David T , AlSaad, Rawan , Al-Sofiani, Mohammed E , Armstrong, David , Arnold, Mark A , Bee, Yong Mong , Bequette, B Wayne , Bellazzi, Riccardo , Cengiz, Eda , Chase, James Geoffrey , Chen, Haipeng , Chen, Jake Y , Cichosz, Simon L , Cinar, Ali , Clements, Mark A , Close, Kelly L , Cuadros, Jorge , Contreras, Ivan , Datta, Gora , Dhatariya, Ketan , Doyle, Francis J , Drincic, Angela , Facchinetti, Andrea , Fleming, G Alexander , Foreman, Joshua , Gabbay, Monica A L , Gutierrez-Osuna, Ricardo , Healey, Elizabeth , Hoang, Thanh D , Jacobs, Peter G , Kulzer, Bernhard , La Belle, Jeff , Lee, Aaron Y , Lee, Cecilia S , Lee, Wei-An Andy , Liepmann, Dorian , Maahs, David M , Mathioudakis, Nestoras N , Meo, Sultan A , Metwally, Ahmed A , Misra, Shivani , Mohan, Viswanathan , Moon, Sun-Joon , Raeder, Helge , Rhee, Connie M , Rhee, Eun-Jung , Scheinker, David , Shah, Viral N , Sheng, Bin , Snyder, Michael , Sode, Koji , Spanakis, Elias K , Svensson, Jannet , Vaswani, Nitin , Vareth, Maryam , Vehi, Josep , Wallia, Amisha , Waki, Kayo , Wang, Tao , Williams, Eric , Wolf, Risa M , Wong, Jenise C , Bekele, Sewagegn Yeshiwas , Zilbermint, Mihail , Shah, Shahid N , Klonoff, David C. , DuBord, Ashley Y., Wong, Tien Yin , Agus, Michael S. D. , Ahn, David , Close, Kelly L. , Dhatariya, Ketan , Doyle, Francis J. , Rhee, Connie M. , Sode, Koji , Spanakis, Elias K. , Waki, Kayo , Wong, Jenise C. , Zilbermint, Mihail

Mayo Clinic

Journal of Diabetes Science and Technology | January 14, 2026 | Volume: 20 | Issue: 3 | Pages: 609-619

10.1177/19322968251391819 | PMID 41532590 Get It

Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH’s Gold Standard Science (GSS) program as well as FAIR (findable, accessible, interoperable, reusable) and TRUST (transparency, responsibility, user focus, sustainability, technology) principles. Gold Standard Science supports open science by emphasizing transparency, reproducibility, and the use of best practices that enable others to verify and extend research. Pairing a research article’s cited data snapshot with a versioned, environment-specific code release, deposited in a companion code repository, ensures that, upon submission to a medical journal, readers and reviewers can directly verify results. An executable and updatable companion code repository complements, rather than replaces, established research data repositories. When code underlying medical research results is made openly available, then other scientists can inspect, run, and validate analyses. These activities enhance reproducibility, which is a core aim of GSS. Shared code also facilitates collaborative innovation by allowing researchers to extend the utility of the code to new datasets and applications. For researchers, code sharing can increase visibility, credibility, and citation impact. Demonstrating transparency through shared executable and updatable code builds trust with journal readers, peer reviewers, funders, and peers. Shared code in an open access repository signals adherence to high standards of scientific integrity and attracts opportunities for collaboration. A researcher who shares code receives recognition as a leader in reproducible, trustworthy research consistent with NIH’s GSS principles.
Exposure to agent orange and risk of myelodysplastic syndromes
Padron, Eric , Baghdadi, Tareq Al, Foran, James M. , Abel, Gregory A. , Saber, Wael , Gore, Steven D. , Lee, Cecilia , Bejar, Rafael, Liu, Jijun , Deeg, Joachim, DiFronzo, Nancy, Sekeres, Mikkael A. , Dezern, Amy Elizabeth , Otterstatter, Michael , Komrokji, Rami S. , Bejar, Rafael , Sherman, Seth , Lindsley, R Coleman , Walter, Matthew J , Gillis, Nancy

Mayo Clinic

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 5626-5626

10.1182/blood-2025-5626 Get It

Abstract Background Myelodysplastic syndromes (MDS) develop from the acquisition of somatic mutations over years or decades. While some mutations are random stochastic events, others derive from extrinsic agents that promote genomic instability, including environmental exposures. Agent Orange (AO) is a phenoxy herbicide used by the U.S. military as a defoliant during the Vietnam War (1962-71), often diluted with gasoline to promote aerosolization, contaminated with the carcinogen dioxin during the manufacturing process, and linked to various cancers. We studied AO as a risk factor for MDS. Methods The prospective National Heart, Lung, and Blood Institute National MDS Natural History Study includes patients (pts) with suspected or recently diagnosed MDS enrolled from 6/2016-6/2024. Bone marrow samples underwent central pathology review, resulting in diagnoses including MDS, MDS/myeloproliferative neoplasm overlap (MDS/MPN), or clonal cytopenia of undetermined significance (CCUS). Pts completed detailed assessment for AO exposure and other risk factors for MDS development. Associations between AO exposure, mutation prevalence, and key covariates (demographics, diagnosis, military service, clinical history, cytogenetics and smoking) were assessed using univariate tests of association, multivariable regression and Cox regression models for survival and progression. Results Among 2115 enrolled pts, 1191 (56%) had a myeloid malignancy or precursor condition and 130 (6.1%) reported AO exposure, the majority (96%) male. Compared to unexposed pts, AO exposed pts were more likely to derive from the 1945-54 birth cohort (p<.001), of age to serve in Vietnam, and to have an ultimate diagnosis of MDS or CCUS vs. a non-clonal diagnosis (57% vs. 44%, p=.046). AO exposure was more common among Blacks (12% vs 6%, p=.02), specifically Black males (21% vs 9%, p=.006). AO exposure was marginally associated with International Prognostic Scoring System (IPSS)-R poor-risk cytogenetics (p=.066) and lower baseline platelet count (p=.072). In multiple regression analyses, risk of AO exposure was significantly higher for the 1945-1954 birth cohort (OR [95% CI]=10.3 [4.4-30.6], p<.001), among those with military service (OR=24.1 [11.9-55.8], p<.0001), and for Blacks vs Whites (OR=2.6 [1.2-5.5], p=.017). The crude risk of AO exposure trended higher for patients with MDS compared to idiopathic cytopenia of undetermined significance (ICUS; OR=2.1 [0.9-6.0],p=.13), but not in multivariable analysis (OR=1.3 [0.5-4.4, p=.60]). AO exposure trended toward an association with younger age at MDS diagnosis (p=.06) and toward having a prior primary malignancy (49% vs. 41%, p=.09): Compared to non-AO exposed pts, AO exposed pts had higher rates of prior prostate cancer (16% vs. 8%), notable given its documented association with AO exposure. AO exposure was not associated with a history of or intensity of cigarette smoking (p=.67). After accounting for age, diagnosis, sex, and military service, AO exposure was significantly associated with increased numbers of pathogenic variants in 53 genes (OR=1.2 [1.0-1.4], p=.02) and with having Very Poor/Poor risk IPSS-R cytogenetics (OR=3.7 [1.2-11.1], p=.02). AO exposed and non-exposed pts had similar overall survival (HR=1.1 [0.8-1.7], p=.50), but those exposed to AO had a higher risk of disease progression in the first two years following diagnosis (HR =1.9 [1.2-2.8], p=.004). AO exposed pts appeared more likely to have del (5q) (15% vs. 8%) and del (20q) (13% vs. 5%) karyotypic abnormalities, and TP53 (7.7% vs. 4.5%), STAG2 (5.1% vs. 2.8%), and NRAS mutations (3.4% vs. 1.7%), although sample sizes were small. Focusing on gene pathways, AO exposed pts appeared more likely to have abnormalities in RAS signaling (10.3% vs. 5.7%), cell cycle (7.7% vs. 4.5%), and cohesion complex pathways (6.0% vs. 3.1%), but less likely to have abnormalities in cytokine receptor pathways (0% vs. 4.5%). ConclusionsIn our representative national cohort of pts with at least one cytopenia, and for the first time, we demonstrated that AO exposure is associated with younger age at MDS diagnosis, ultimate MDS diagnosis, genetic complexity of MDS, increased risk of disease progression, and with Black race, despite Black individuals comprising just 16% of men who served in the Vietnam War and being less likely to have MDS than white individuals. AO should formally be recognized as a risk factor for the development of MDS.
Semaglutide and Nonarteritic Anterior Ischemic Optic Neuropathy
Cai, Cindy X. , Hribar, Michelle R. , Swaminathan, Swarup S. , Flowers, Alexis , Brown, Eric N. , Chen, John J. , Chen, Aiyin , Wang, Sophia Y. , Ehrlich, Joshua R. , Armbrust, Karen R. , Alshammari, Thamir , Swerdel, Joel N. , Suchard, Marc A. , Falconer, Thomas , DuVall, Scott L. , Viernes, Benjamin , O’Brien, William J. , Martin, Benjamin , Westlund, Erik , Mathioudakis, Nestoras , Fan, Ruochong, Stocking, Jacqueline C. , Takkouche, Sahar , Humes, Izabelle, McCoy, David , Adibuzzaman, Mohammad, Areaux, Raymond G. , Rojas‐Carabali, William , Brash, James T., Lee, David A. , Mawn, Louise A. , Agrawal, Rupesh, Morgan‐Cooper, Hannah, Desai, Priya , Ryan, Patrick , Barkmeier, Andrew, Chen, John J , Mathioudakis, Nestoras N , Stocking, Jacqueline C , Lee, Cecilia S , Baxter, Sally L. , Goetz, Kerry , Toy, Brian C. , Xu, Benjamin Yixing , Leng, Theodore , Barkmeier, Andrew J. , Boland, Michael V. , Dorr, David A , Boyce, Danielle M. , Schuemie, Martijn J. , Bu, Fan , Sena, Anthony G. , Hripcsak, George , Nishimura, Akihiko, Nagy, Paul G. , Matheny, Michael E. , Zhang, Linying , Martin, Benjamin, Fan, Ruochong, Wilcox, Adam B , Lai, Albert M. , Lee, Lok Hin , Xie, Yangyiran , Weiskopf, Nicole G. , Desai, Priya

Mayo Clinic

JAMA Ophthalmology | February 20, 2025 | Volume: 143 | Issue: 4 | Pages: 304

10.1001/jamaophthalmol.2024.6555 | PMID 39976940 Get It

Importance Semaglutide, a glucagonlike peptide-1 receptor agonist (GLP-1RA), has recently been implicated in cases of nonarteritic anterior ischemic optic neuropathy (NAION), raising safety concerns in the treatment of type 2 diabetes (T2D). Objective To investigate the potential association between semaglutide and NAION in the Observational Health Data Sciences and Informatics (OHDSI) network. Design, Setting, and Participants This was a retrospective study across 14 databases (6 administrative claims and 8 electronic health records). Included were adults with T2D taking semaglutide, other GLP-1RA (dulaglutide, exenatide), or non–GLP-1RA medications (empagliflozin, sitagliptin, glipizide) from December 1, 2017, to December 31, 2023. The incidence proportion and rate of NAION were calculated. Association between semaglutide and NAION was assessed using 2 approaches: an active-comparator cohort design comparing new users of semaglutide with those taking other GLP-1RAs and non–GLP-1RA drugs, and a self-controlled case-series (SCCS) analysis to compare individuals’ risks during exposure and nonexposure periods for each drug. The cohort design used propensity score–adjusted Cox proportional hazards models to estimate hazard ratios (HRs). The SCCS used conditional Poisson regression models to estimate incidence rate ratios (IRRs). Network-wide HR and IRR estimates were generated using a random-effects meta-analysis model. Exposures GLP-1RA and non–GLP-1RAs. Main Outcomes and Measures NAION under 2 alternative definitions based on diagnosis codes: one more inclusive and sensitive, the other more restrictive and specific. Results The study included 37.1 million individuals with T2D, including 810 390 new semaglutide users. Of the 43 620 new users of semaglutide in the Optum’s deidentified Clinformatics Data Mart Database, 24 473 (56%) were aged 50 to 69 years, and 26 699 (61%) were female. The incidence rate of NAION was 14.5 per 100 000 person-years among semaglutide users. The HR for NAION among new users of semaglutide was not different compared with that of the non–GLP-1RAs using the sensitive NAION definition—empagliflozin (HR, 1.44; 95% CI, 0.78-2.68; P = .12), sitagliptin (HR, 1.30; 95% CI, 0.56-3.01; P = .27), and glipizide (HR, 1.23; 95% CI, 0.66-2.28; P = .25). The risk was higher only compared with patients taking empagliflozin (HR, 2.27; 95% CI, 1.16-4.46; P = .02) using the specific definition. SCCS analysis of semaglutide exposure showed an increased risk of NAION (meta-analysis IRR, 1.32; 95% CI, 1.14-1.54; P < .001). Conclusions and Relevance Results of this study suggest a modest increase in the risk of NAION among individuals with T2D associated with semaglutide use, smaller than that previously reported, and warranting further investigation into the clinical implications of this association.
Evaluating Access to Laser Eye Surgery by Driving Times Using Medicare Data and Geographical Mapping
Shaffer, Jamie , Rajesh, Anand E. , Stewart, Michael W., Lee, Aaron , Francis, Courtney E. , Miller, Darby D. , Lee, Aaron Y , Lee, Cecilia S

Mayo Clinic

JAMA Ophthalmology | July 20, 2023 | Volume: 141 | Issue: 8 | Pages: 776

10.1001/jamaophthalmol.2023.3061 | PMID 37471084 Get It

Importance Recently, several states have granted optometrists privileges to perform select laser procedures (laser peripheral iridotomy, selective laser trabeculoplasty, and YAG laser capsulotomy) with the aim of increasing access. However, whether these changes are associated with increased access to these procedures among each state’s Medicare population has not been evaluated. Objective To compare patient access to laser surgery eye care by estimated travel time and 30-minute proximity to an optometrist or ophthalmologist. Design, Setting, and Participants This retrospective cohort database study used Medicare Part B claims data from 2016 through 2020 for patients accessing new patient or laser eye care (laser peripheral iridotomy, selective laser trabeculoplasty, YAG) from optometrists or ophthalmologists in Oklahoma, Kentucky, Louisiana, Arkansas, and Missouri. Analysis took place between December 2021 and March 2023. Main Outcome and Measures Percentage of each state’s Medicare population within a 30-minute travel time (isochrone) of an optometrist or ophthalmologist based on US census block group population and estimated travel time from patient to health care professional. Results The analytic cohort consisted of 1 564 307 individual claims. Isochrones show that optometrists performing laser eye surgery cover a geographic area similar to that covered by ophthalmologists. Less than 5% of the population had only optometrists (no ophthalmologists) within a 30-minute drive in every state except for Oklahoma for YAG (301 470 [7.6%]) and selective laser trabeculoplasty (371 097 [9.4%]). Patients had a longer travel time to receive all laser procedures from optometrists than ophthalmologists in Kentucky: the shortest median (IQR) drive time for an optometrist-performed procedure was 49.0 (18.4-71.7) minutes for YAG, and the the longest median (IQR) drive time for an ophthalmologist-performed procedure was 22.8 (12.1-41.4) minutes, also for YAG. The median (IQR) driving time for YAG in Oklahoma was 26.6 (12.2-56.9) for optometrists vs 22.0 (11.2-40.8) minutes for ophthalmologists, and in Arkansas it was 90.0 (16.2-93.2) for optometrists vs 26.5 (11.8-51.6) minutes for ophthalmologists. In Louisiana, the longest median (IQR) travel time to receive laser procedures from optometrists was for YAG at 18.5 (7.6-32.6) minutes and the shortest drive to receive procedures from ophthalmologists was for YAG at 20.5 (11.7-39.7) minutes. Conclusions and Relevance Although this study did not assess impact on quality of care, expansion of laser eye surgery privileges to optometrists was not found to lead to shorter travel times to receive care or to a meaningful increase in the percentage of the population with nearby health care professionals.
Health-related quality of life and vulnerability among people with myelodysplastic syndromes: a US national study
Abel, Gregory A. , Hebert, Donnie, Lee, Cecilia , Rollison, Dana E. , Komrokji, Rami S. , Foran, James M. , Liu, Jane Jijun, Baghdadi, Tareq Al, Deeg, Joachim, Gore, Steven D. , Saber, Wael , Wilson, Steffanie H, Otterstatter, Michael , Thompson, Jason, Borchert, Christine, Padron, Eric , Cella, David , Wilson, Stephanie H. , Gillis, Nancy , Komrokji, Rami S , Otterstatter, Michael , Baghdadi, Tareq Al , Dezern, Amy Elizabeth , Sekeres, Mikkael A.

Mayo Clinic

Blood Advances | May 5, 2023 | Volume: 7 | Issue: 14 | Pages: 3506-3515

10.1182/bloodadvances.2022009000 | PMID 37146263 Get It

Abstract Health-related quality of life (HRQoL) and vulnerability are variably affected in patients with myelodysplastic syndromes (MDS) and other cytopenic states; however, the heterogeneity of these diseases has limited our understanding of these domains. The National Heart, Lung, and Blood Institute-sponsored MDS Natural History Study is a prospective cohort enrolling patients undergoing workup for suspected MDS in the setting of cytopenias. Untreated patients undergo bone marrow assessment with central histopathology review for assignment as MDS, MDS/myeloproliferative neoplasm (MPN), idiopathic cytopenia of undetermined significance (ICUS), acute myeloid leukemia (AML) with <30% blasts, or “At-Risk.” HRQoL data are collected at enrollment, including the MDS-specific Quality of Life in Myelodysplasia Scale (QUALMS). Vulnerability is assessed with the Vulnerable Elders Survey. Baseline HRQoL scores from 449 patients with MDS, MDS/MPN, AML <30%, ICUS or At-Risk were similar among diagnoses. In MDS, HRQoL was worse for vulnerable participants (eg, mean Patent-Reported Outcomes Management Information Systems [PROMIS] Fatigue of 56.0 vs 49.5; P < .001) and those with worse prognosis (eg, mean Euroqol-5 Dimension-5 Level [EQ-5D-5L] of 73.4, 72.7, and 64.1 for low, intermediate, and high-risk disease; P = .005). Among vulnerable MDS participants, most had difficulty with prolonged physical activity (88%), such as walking a quarter mile (74%). These data suggest that cytopenias leading to MDS evaluation are associated with similar HRQoL, regardless of eventual diagnosis, but with worse HRQoL among the vulnerable. Among those with MDS, lower-risk disease was associated with better HRQoL, but the relationship was lost among the vulnerable, showing for the first time that vulnerability trumps disease risk in affecting HRQoL. This study is registered at www.clinicaltrials.gov as NCT02775383.
Patient-Reported Outcomes and Frailty Among Participants in the NHLBI MDS Natural History Study
Abel, Gregory A. , Hebert, Donnie, Lee, Cecilia , Foran, James M. , Gore, Steven D. , Saber, Wael , Rollison, Dana E. , Padron, Eric , Wilson, Steffanie H, Thompson, Jason A., Waclawiw, Myron A., DiFronzo, Nancy, Thompson, Jason, Sekeres, Mikkael A.

Mayo Clinic

Blood | February 7, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 15-16

10.1182/blood-2020-136992 Get It

Introduction: Patient-reported outcomes (PROs) such as quality of life (QOL) are variably affected in patients with myelodysplastic syndromes (MDS), but the heterogeneous composition of disease states grouped together as "MDS" increases the difficulty of assessing and understanding these outcomes. Moreover, little is known about the potential relationship between QOL and frailty in this population. Methods: The NHLBI MDS Natural History Study (NCT02775383) is a prospective cohort enrolling patients undergoing diagnostic work up for suspected MDS or MDS/myeloproliferative neoplasms (MPNs) in the setting of cytopenias. Untreated participants undergo bone marrow assessment with centralized histopathology review at enrollment for assignment into subcategories for longitudinal follow-up: MDS, MDS/MPN, ICUS, AML (<30% blasts), and "At-Risk" (cases with sub-threshold dysplasia or select karyotypic or genetic mutations). PRO and frailty data are collected at enrollment and every six months thereafter. PRO instruments include MDS-specific (QUALMS) and general (FACT-G, PROMIS Fatigue Short Form 7a, EQ-5D-5L) instruments, and a measure of frailty (VES-13). While no frailty instrument alone has been shown to be a substitute for comprehensive geriatric assessment, VES-13 has been successfully used in cancer-related studies for basic screening, where a score of 3 or more is considered frail (vulnerable). An analysis of variance (ANOVA) was used for the overall comparisons of mean baseline scores between diagnostic categories. Pairwise comparisons of scores between diagnostic categories and vulnerability subgroups were performed via two-sample t-tests. Results : Of 835 participants assessed for eligibility, 369 (44%) were classified as MDS, MDS/MPN, AML, ICUS or At-Risk, and further evaluated. Mean age was 72 years (standard deviation (SD)=10.7) and 68% were male. Mean baseline scores on the PRO measures are compared between diagnostic categories in the Table; scores did not differ significantly across categories. In particular, no significant differences were found between MDS and the other diagnostic categories. ICUS had similar QOL scores to MDS and MDS/MPN (e.g., means (SD) on EQ-5D-5L of 74.1 (17.8) in ICUS and 70.8 (19.4) in MDS, p=0.348) but had significantly higher scores than those for AML on EQ-5D-5L (60.7 (28.4), p=0.031). For the 216 participants with diagnostically-confirmed MDS, QOL impairment was similar to that routinely seen in other cancers; for example, the mean total FACT-G was 81.8 (SD=15.9), similar to localized breast cancer (82.4, SD=16.2), localized colorectal cancer (79.6, SD=16.1), and lung cancer with no current evidence of disease (82.6, SD=15.5; comparison means from Pearlman, Cancer, 2014). For frail/vulnerable participants with MDS or MDS/MPN (N=87), the most common reasons for vulnerability were age ≥75 years (68%), overall rating of health as poor or fair (62%), and difficulty with prolonged physical activity (90%) such as walking a quarter mile (75%) or doing heavy housework (70%). A minority also were vulnerable due to requiring help with instrumental activities of daily living (iADLS) such as shopping (28%) or managing money (16%). Mean QOL scores were compared between vulnerability subgroups (Figure). Vulnerable participants pooled over all diagnostic categories had significantly worse PROs than non-vulnerable participants for all measures (p<0.001). In particular, vulnerable MDS participants scored significantly worse on the QUALMS (mean 64.4, SD=13.4) vs. non-vulnerable MDS participants (mean 72.7, SD=13.3), p<0.001. Conclusions: Participants in our cohort with histologically-confirmed MDS-even low-grade MDS-had similar impairments in PROs as those with other cancers. Among those with histologically-confirmed MDS, vulnerable participants had significantly worse QOL on many measures compared to non-vulnerable participants, suggesting that this domain of function be specifically assessed in clinic. Moreover, while a "gestalt" of frailty may be inferred by observing how patients present and move in the office, these data suggest that other contributing domains, such as difficulty with prolonged physical activity and iADLs, should be evaluated explicitly. Disclosures Foran: H3Biosciences: Research Funding; Aptose: Research Funding; Kura Oncology: Research Funding; Takeda: Research Funding; Servier: Membership on an entity's Board of Directors or advisory committees; Xencor: Research Funding; Agios: Honoraria, Research Funding; Boehringer Ingelheim: Research Funding; Actinium: Research Funding; Aprea: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Trillium: Research Funding; Revolution Medicine: Consultancy; Pfizer: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding. Gore:Abbvie: Consultancy, Honoraria, Research Funding. Padron:Incyte: Research Funding; Kura: Research Funding; Novartis: Honoraria; BMS: Research Funding. Sekeres:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda/Millenium: Consultancy, Membership on an entity's Board of Directors or advisory committees.