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Dispenzieri, Angela

https://orcid.org/0000-0001-8780-9512

Mayo Clinic

Mayo Clinic

Citations 1052

The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement
Pereyra, Milagros , Mahmoud, Ahmed K., Galasso, Francesca , Killian, Michael , Suppah, Mustafa, Kenyon, Courtney , Koepke, Laura, Padang, Ratnasari , Sweeney, John P., Fortuin, F. David , Eleid, Mackram F. , Steidley, D. Eric , Scott, Luis R. , Grogan, Martha , Rosenthal, Julie , Mahmoud, Ahmed , Pereyra, Milagros , Killian, Michael E, Kenyon, Courtney R, Koepke, Laura M, Padang, Ratnasari , Steidley, David E, Lopez-Jimenez, Francisco , Rosenthal, Julie L., Mahmoud, Ahmed K , Farina, Juan M. , Scalia, Isabel G. , Chao, Chieh‐Ju , Sell‐Dottin, Kristen , Fonseca, Rafaël , López-Jiménez, Francisco , Attia, Zachi I. , Dispenzieri, Angela , Arsanjani, Reza

European Heart Journal - Digital Health | March 11, 2024 | Volume: 5 | Issue: 3 | Pages: 295-302

10.1093/ehjdh/ztae022 Get It

Abstract Aims Cardiac amyloidosis (CA) is common in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Cardiac amyloidosis has poor outcomes, and its assessment in all TAVR patients is costly and challenging. Electrocardiogram (ECG) artificial intelligence (AI) algorithms that screen for CA may be useful to identify at-risk patients. Methods and results In this retrospective analysis of our institutional National Cardiovascular Disease Registry (NCDR)-TAVR database, patients undergoing TAVR between January 2012 and December 2018 were included. Pre-TAVR CA probability was analysed by an ECG AI predictive model, with >50% risk defined as high probability for CA. Univariable and propensity score covariate adjustment analyses using Cox regression were performed to compare clinical outcomes between patients with high CA probability vs. those with low probability at 1-year follow-up after TAVR. Of 1426 patients who underwent TAVR (mean age 81.0 ± 8.5 years, 57.6% male), 349 (24.4%) had high CA probability on pre-procedure ECG. Only 17 (1.2%) had a clinical diagnosis of CA. After multivariable adjustment, high probability of CA by ECG AI algorithm was significantly associated with increased all-cause mortality [hazard ratio (HR) 1.40, 95% confidence interval (CI) 1.01–1.96, P = 0.046] and higher rates of major adverse cardiovascular events (transient ischaemic attack (TIA)/stroke, myocardial infarction, and heart failure hospitalizations] (HR 1.36, 95% CI 1.01–1.82, P = 0.041), driven primarily by heart failure hospitalizations (HR 1.58, 95% CI 1.13–2.20, P = 0.008) at 1-year follow-up. There were no significant differences in TIA/stroke or myocardial infarction. Conclusion Artificial intelligence applied to pre-TAVR ECGs identifies a subgroup at higher risk of clinical events. These targeted patients may benefit from further diagnostic evaluation for CA.
Round Table Discussion on Optimal Clinical Trial Design in Precursor Multiple Myeloma
Ghobrial, Irene M. , Kumar, Shaji , Mateos, María‐Victoria , Bergsagel, P. Leif , Chesi, Marta , Dhodapkar, Madhav V. , Getz, Gad , Manier, Salomon , Nuvolone, Mario , O’Donnell, Elizabeth , Sklavenitis‐Pistofidis, Romanos , Sperling, Adam S. , Vassiliou, George S. , Munshi, Nikhil C. , Bergsagel, P. Leif , Gormley, Nicole , Kumar, Shaji K , Mateos, María-Victoria , Chesi, Marta , Dhodapkar, Madhav V , Getz, Gad , Kastritis, Efstathios , Kristinsson, Sigurdur Y , Martinez-Climent, Jose Angel , Manier, Salomon , Marinac, Catherine R , Maura, Francesco , Morgan, Gareth J , Davies, Faith E , Nadeem, Omar , Nuvolone, Mario , Paiva, Bruno , O'Donnell, Elizabeth , Prosper, Felipe , Shah, Urvi A , Sklavenitis-Pistofidis, Romanos , Sperling, Adam S , Munshi, Nikhil C , Castle, Philip E , Anderson, Kenneth C , San-Miguel, Jesus , Ghobrial, Irene M , Gormley, Nicole , Dispenzieri, Angela , Fonseca, Rafaël , Kastritis, Efstathios , Martinez‐Climent, José A. , Marinac, Catherine R. , Maura, Francesco , Morgan, Gareth J. , Davies, Faith E. , Nadeem, Omar , Paiva, Bruno , Prósper, Felipe , Shah, Urvi A. , Anderson, Kenneth C. , Miguel, Jesús F. San

Blood Cancer Discovery | March 5, 2024 | Volume: 5 | Issue: 3 | Pages: 146-152

10.1158/2643-3230.bcd-24-0022 Get It

Summary: While the current approach to precursor hematologic conditions is to “watch and wait,” this may change with the development of therapies that are safe and extend survival or delay the onset of symptomatic disease. The goal of future therapies in precursor hematologic conditions is to improve survival and prevent or delay the development of symptomatic disease while maximizing safety. Clinical trial considerations in this field include identifying an appropriate at-risk population, safety assessments, dose selection, primary and secondary trial endpoints including surrogate endpoints, control arms, and quality-of-life metrics, all of which may enable more precise benefit–risk assessment.
PF484 MARKERS ASSOCIATED WITH SHORT SURVIVAL IN PATIENTS WITH WALDENSTRÖM MACROGLOBULINEMIA
Ruan, Gordon , Abeykoon, Jithma P. , Zanwar, Saurabh , Ansell, Stephen M. , Reeder, Craig B. , Lacy, Martha Q. , Kyle, Robert A. , Kumar, Shaji , Kapoor, Prashant , Gertz, Morie A. , Ailawadhi, Sikander , Dispenzieri, Angela , Dingli, David , Go, Ronald S. , Leung, Nelson , Buadi, Francis K. , Gonsalves, Wilson I. , Rajkumar, S. Vincent

HemaSphere | December 31, 2023 | Volume: 3 | Issue: S1 | Pages: 194

10.1002/j.2572-9241.2019.tb00083.x Get It

Background:Waldenström Macroglobulinemia (WM) is a rare, indolent B‐cell lymphoplasmacytic malignancy. Patient outcomes are highly heterogeneous, with a proportion of patients surviving less than 5 years (short survivors) and another proportion that survive longer than 10 years. The laboratory parameters in the currently used International Prognostic Scoring System for WM (IPSSWM) include hemoglobin, serum IgM, platelet count, and serum β2‐microglobulin.Aims:We aim to identify unique patient characteristics and prognostic features associated with short survival in WM.Methods:The medical records of patients with active WM that were diagnosed at Mayo Clinic Rochester, Arizona, and Florida between January 1st, 1996 and December 31st, 2013 were reviewed. The patients with smoldering WM were excluded. Cohorts of patients who either survived ≤ 5 years (Short Survival Group) or those with an overall survival (OS) ≥ 10 years (Long Survival Group) from the diagnosis of active disease were compared. Survivors with a follow‐up of ≤ 5 years were not included in the analyses. Two‐sided Wilcoxon rank sum test and Chi square/Fisher's exact test were used to compare the continuous and categorical variables, respectively. The variables that were statistically significant on univariate analysis (P < 0.05) were included in a multivariate logisitic regression analysis.Results:Of 893 consecutively seen WM patients (median follow‐up of 9 years [95% CI 8.4–9.7]), we identified 387 patients who could be categorized into either the Short Survival Group (n = 171 patients, 44%) or the Long Survival Group (n = 216, 56%). The Short Survival Group had a median OS of 2.4 years (2.1–2.8) and median age at diagnosis of 73 years (42–93), while the Long Survival Group (n = 216, 56%) had a median OS of 18.9 years (16‐NR) and median age at diagnosis of 62 years (31–85). The baseline characteristics and significant findings between the two groups are listed in the Table. Parameters significant on univariate analysis included age >65 years, albumin < 3.5 g/dL, β2‐microglobulin >3 μg/ml, and LDH > upper limit of normal (ULN). On multivariate analysis, albumin <3.5 g/dL and LDH > ULN were independently associated with short survival. Among the Long Survivors, 60 (28%) patients survived 15 years or more.Summary/Conclusion:Lactate dehydrogenase above the ULN and serum albumin <3.5 g/dL are independent biomarkers of short survival in WM. The MYD88 L265P status and the size of serum IgM are not prognostic in WM. Our data suggest the need for simplification of the current staging system with the use of widely available markers: serum albumin and lactate dehydrogenase.image
Neuropathy Improvement Following Peripheral Blood Stem Cell Transplantation For POEMS Syndrome. (S16.007)
Mandrekar, Jayawant, Dyck, P. James B. , Karam, Chafic , Klein, Christopher J. , Dispenzieri, Angela , D’Souza, Anita , Mauermann, Michelle L.

Neurology | December 7, 2023 | Volume: 82 | Issue: 10_supplement | Pages: No page available

10.1212/wnl.82.10_supplement.s16.007 Get It

Neuropathy Improvement Following Peripheral Blood Stem Cell Transplantation For POEMS Syndrome. (I6-2.002)
Mandrekar, Jayawant, Dyck, P. James B. , Karam, Chafic , Klein, Christopher J. , Dispenzieri, Angela , D’Souza, Anita , Mauermann, Michelle L.

Neurology | December 7, 2023 | Volume: 82 | Issue: 10_supplement | Pages: No page available

10.1212/wnl.82.10_supplement.i6-2.002 Get It

Castleman’s Disease Neuropathies (P3.155)
Mandrekar, Jayawant, Naddaf, Elie , Dispenzieri, Angela , Mauermann, Michelle L.

Neurology | December 7, 2023 | Volume: 86 | Issue: 16_supplement | Pages: No page available

10.1212/wnl.86.16_supplement.p3.155 Get It

Impact of Patisiran, an RNAi Therapeutic, on Orthostatic Intolerance in Patients with Hereditary Transthyretin-Mediated Amyloidosis (766)
Lin, Hollis, Merkel, Madeline, Wang, Yue , Polydefkis, Michael , González-Duarte, Alejandra , Judge, Daniel P. , Dispenzieri, Angela

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.766 Get It

Ixazomib, Lenalidomide, and Dexamethasone (Ixa-Len-Dex) for Patients with POEMS Syndrome (4367)
Litchy, William J. , Dyck, P. James B. , Davies, Jenny , Mauermann, Michelle L. , Singer, Wolfgang , Dispenzieri, Angela

Neurology | December 7, 2023 | Volume: 94 | Issue: 15_supplement | Pages: No page available

10.1212/wnl.94.15_supplement.4367 Get It

Nerve pathologic features differentiate POEMS syndrome from CIDP (S42.004)
Piccione, Ezequiel, Engelstad, JaNean , Dyck, P. James B. , Mauermann, Michelle L. , Dispenzieri, Angela

Neurology | December 6, 2023 | Volume: 84 | Issue: 14_supplement | Pages: No page available

10.1212/wnl.84.14_supplement.s42.004 Get It

Clinical specificity of two assays for immunoglobulin kappa and lambda free light chains
Roemmich, Brittany, Spears, Grant M. , Murray, David , Farnsworth, Christopher W , Dispenzieri, Angela , Willrich, Maria Alice V.

Clinical Chemistry and Laboratory Medicine (CCLM) | December 4, 2023 | Volume: 62 | Issue: 5 | Pages: 929-938

10.1515/cclm-2023-0912 Get It

Abstract Objectives Free light chain (FLC) assays and the ratio of κ/λ are recommended for diagnosis, prognosis and monitoring of plasma cell dyscrasias (PCD). Limited data exists on FLC clinical specificity in patients diagnosed with other conditions. Methods We assessed the κ, λ, and κ/λ FLC ratio using the FreeLite assay and the Sebia FLC ELISA assay in 176 patients with clinical presentations of fatigue, anemia, polyclonal hypergammaglobulinemia, joint disorders, kidney disease and non PCD-cancers with no monoclonal protein observed on serum protein electrophoresis or MASS-FIX immunoglobulin isotyping. Manufacturer defined reference intervals (RI) and glomerular filtration rate (GFR) specific RI (renal RI) were utilized. Results For the κ/λ ratio, 68.7 % (121/176) of specimens on the FreeLite and 87.5 % (154/176) of specimens on the Sebia assay were within RI. For κ, 68.2 % (120/176) and 72.2 % (127/176) of results were outside RI for FreeLite and Sebia respectively. For λ, 37.5 % (66/176) and 84.1 % (148/176) of FreeLite and Sebia results were outside RI. With FreeLite and Sebia, patients with kidney disease (n=25) had the highest κ/λ ratios. 44 patients (25.0 %) had GFR <60 mL/min/BSA. When renal RI were applied, 13.6 % had a FLCr outside the renal RI with FreeLite, and 4.5 % with Sebia. Conclusions In a cohort of patients with signs and symptoms suggestive of PCDs, but ultimately diagnosed with other conditions, Sebia FLC had improved clinical specificity relative to FreeLite, if one was using an abnormal κ/λ ratio as a surrogate for monoclonality.