The patient journey toward a diagnosis of Light Chain Amyloidosis: findings from a social listening study (Preprint)

Author:

Lu Jin,Dou Xuelin,Liu Yang,Liao Aijun,Zhong Yuping,Fu Rong,Liu Lihong,Cui Canchan

Abstract

BACKGROUND

Systemic light chain (AL) amyloidosis is a rare and multi-system disease. Delayed diagnoses were common in AL amyloidosis, resulting in poor prognosis.

OBJECTIVE

To better understand the current situation and patient journey of AL amyloidosis in China, we conduct a content analysis by using data from social media platforms.

METHODS

Publicly available social media content between January 2008 and April 2021 was searched. After performing data collection steps collection by machine models, a series of disease-related posts were derived. Nature language processing (NLP) was used to identify the relevance of variables, followed by further manual evaluation and analysis.¬

RESULTS

2,204 valid posts related to AL amyloidosis were included in this study, 89.29% produced by haodf.com. Of these posts, 58% of patients were male and the median age was 57 years old; 66% of posts mentioned renal-related symptoms, followed by heart (38%), liver (22%), stomach (17%), lung (14%) and intestines (13%); and 68% of patients had ≥2 organ-related symptoms. Symptoms for AL amyloidosis were non-specific, weakness (9%), edema (7%), hypertrophy (6%), and swelling (5%) were the most frequently mentioned by patients. 62% of patients reported that it took more than one year to be finally diagnosed. Patients with AL amyloidosis experienced multiple physician visits, and nephrologists (34%) and hematologists (27%) accounted for the most common specialists they would seek for the initial consultation. Besides, inter-hospital referrals were also commonly seen in patients with AL amyloidosis, centralizing in tertiary hospitals.

CONCLUSIONS

The study describes clinical characteristics and patient experience from symptom onset to diagnosis of AL amyloidosis in China. Patients experience a variety of referrals during their journey towards to a diagnosis. Increasing awareness of the disease and early referral to a specialized center with expertise may reduce delayed diagnosis and improve patient management.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3