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3 citation(s) found for "Thomas, Theodore".

Cumulative Excess Body Mass Index and MGUS Progression to Myeloma
Liu, Lawrence , Grandhi, Nikhil , Thomas, Theodore, Schoen, Martin W. , Carson, Kenneth R. , Vachon, Celine M. , Janakiram, Murali , Ji, Mengmeng , Vachon, Celine, Liu, Lawrence , Janakiram, Murali , Wang, Mei , Proskuriakova, Ekaterina , Sanfilippo, Kristen , Visram, Alissa , Vachon, Celine M. , Colditz, Graham A. , Chang, Su‐Hsin

Mayo Clinic

JAMA Network Open | February 7, 2025 | Volume: 8 | Issue: 2 | Pages: e2458585

10.1001/jamanetworkopen.2024.58585 | PMID 39918819 Get It

Importance Obesity is a risk factor associated with multiple myeloma (MM) and its precursor, monoclonal gammopathy of unknown significance (MGUS). However, it is unclear how cumulative exposure to obesity affects the risk of MGUS progression to MM. Objective To determine the association of cumulative exposure to excess body mass index (EBMI), defined as BMI (calculated as weight in kilograms divided by height in meters squared) greater than 25, with risk of MGUS progression to MM. Design, Setting, and Participants This cohort study included patients with MGUS, including immunoglobin G, immunoglobin A, or light chain MGUS, from the nationwide US Veterans Health Administration database from October 1, 1999, to December 31, 2021. A published natural language processing–assisted model was used to confirm diagnoses of MGUS and progression to MM. Data were analyzed from February 12 to November 4, 2024. Exposures Cumulative EBMI was calculated by area under the curve of measured BMI subtracting the reference BMI at 25 during the first 3 years after MGUS diagnosis. Main Outcomes and Measures The main outcome was progression from MGUS to MM. Multivariable Fine-Gray time-to-competing-event analyses, with death as the competing event, were used to determine associations. Results The cohort included 22 429 patients with MGUS (median [IQR] age, 70.5 [63.5-77.9] years; 21 613 [96.4%] male), with 8329 Black patients (37.1%) and 14 100 White patients (62.9%). There were 4862 patients (21.7%) with reference range BMI (18.5 to <25), 7619 patients (34.0%) with BMI 25 to less than 30, and 8513 patients (38.0%) with BMI 30 or greater at the time of MGUS diagnosis. Compared with reference range BMI at MGUS diagnosis, patients with BMI 25 to less than 30 (adjusted hazard ratio [aHR], 1.17; 95% CI, 1.03-1.34) or 30 or greater (aHR, 1.27; 95% CI, 1.09-1.47) at MGUS diagnosis had higher risk of progression to MM. In patients with reference range BMI at MGUS diagnosis, each 1-unit increase of EBMI per year was associated with a 21% increase in progression risk (aHR, 1.21; 95% CI, 1.04-1.40). However, for patients with BMI 25 or greater at MGUS diagnosis, the incremental risk associated with cumulative EBMI exposure was not statistically significant. Conclusions and Relevance This cohort study found that, for patients with BMI 18.5 to less than 25 at the time of MGUS diagnosis, cumulative exposure to BMI 25 or greater was associated with an increased risk of progression. These findings suggest that for these patients, maintaining a healthy and stable weight following MGUS diagnosis may prevent progression to MM.
SMARCB1 and RB1 Gene: Novel Mutations in Neuroendocrine Tumors of Sinonasal Cavity
Chatzopoulos, Kyriakos , Wismayer, David J. Schembri, McKnight, Tory , Klug, Theodore , Barton, Blair M. , Bar‐Ad, Voichita , Johnson, Jennifer, Toskala, Elina , Rabinowitz, Mindy, Nyquist, Gurston , Chitguppi, Chandala , Gargano, Stacey , Choby, Garret , Low, Christopher M. , D’Souza, Glen , Parsel, Sean M. , Rosen, Marc R

Mayo Clinic

Journal of Neurological Surgery Part B: Skull Base | March 4, 2022 | Volume: 83 | Issue: S 01 | Pages: S1-S270

10.1055/s-0042-1743931 Get It

The Unseen Global Burden of Disease
Wiedermann, Josh, Klug, Theodore , Abhra, Tekleweini, Alemayehu, Biniam, Sembergman, Johanna, Der, Carolina , Din, Taseer , Din, Taseer

Mayo Clinic

Otolaryngology–Head and Neck Surgery | August 25, 2020 | Volume: 164 | Issue: 3 | Pages: 459-461

10.1177/0194599820951464 | PMID 32838652 Get It

Due to geographic‐specific patient and institutional‐related barriers to care, data extrapolation and expert opinion on global burden of disease in otolaryngology–head and neck surgery may under‐ or overestimate the presence and effect of common head and neck conditions. The group of conditions that fail to present to local physicians and/or missed in data extrapolation methods is the unseen burden of disease. This article presents opinions from otolaryngology–head and neck surgery physicians in high‐ and low/middle‐income countries to help explain the contributing factors and ultimately how to use this unseen burden of disease.