Timing and co-occurrence of symptoms prior to a diagnosis of light chain (AL) amyloidosis. Res Sq 2024 Jan 03
Date
01/23/2024Pubmed ID
38260686Pubmed Central ID
PMC10802702DOI
10.21203/rs.3.rs-3788661/v1Abstract
It is well-established that light chain (AL) amyloidosis patients have multi-organ involvement and are often diagnosed after a lag period of increasing symptoms. We leverage electronic health record (EHR) data from the TriNetX research network to describe the incidence, timing, and co-occurrence of precursor conditions of interests in a cohort of AL amyloidosis patients identified between October 2015-December 2020. Nineteen precursor diagnoses of interest representing features of AL amyloidosis were identified using ICD codes up to 36 months prior to AL amyloidosis diagnosis. Among 1,401 patients with at least 36 months of EHR data prior to AL amyloidosis diagnosis, 46% were females, 16% were non-Hispanic Black, and 6% were Hispanic. The median age was 71 (range, 21-91) years. The median number of precursor diagnoses was 5 with dyspnea and fatigue being the most prevalent. The time from the first occurrence of a precursor to AL diagnosis ranged from 3.2 to 21.4 months. Analyses of pairwise co-occurrence of specific diagnoses indicated a high association (Cole's coefficient > 0.6) among the examined precursor diagnoses. These findings provide novel information about the timing and co-occurrence of key precursor conditions and could be used to develop algorithms for early identification of AL amyloidosis.
Author List
D'Souza A, Singh A, Szabo A, Lian Q, Pezzin L, Sparapani RAuthors
Anita D'Souza MD Associate Professor in the Medicine department at Medical College of WisconsinLiliana Pezzin PhD, JD Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Rodney Sparapani PhD Associate Professor in the Institute for Health and Equity department at Medical College of Wisconsin
Aniko Szabo PhD Professor in the Institute for Health and Equity department at Medical College of Wisconsin
