Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

被引:0
|
作者
Dou, Xuelin [1 ]
Liu, Yang [1 ]
Liao, Aijun [2 ]
Zhong, Yuping [3 ]
Fu, Rong [4 ]
Liu, Lihong [5 ]
Cui, Canchan [6 ]
Wang, Xiaohong [7 ]
Lu, Jin [1 ,8 ]
机构
[1] Peking Univ Peoples Hosp, Dept Hematol, Beijing, Peoples R China
[2] China Med Univ, Shengjing Hosp, Hematol Dept, Shenyang, Peoples R China
[3] Qingdao Univ, Qingdao Municipal Hosp, Hematol Dept, Qingdao, Peoples R China
[4] Tianjin Med Univ, Hematol Dept, Gen Hosp, Tianjin, Peoples R China
[5] Fourth Hosp Hebei Med Univ, Hematol Dept, Shijiazhuang, Peoples R China
[6] Xian Janssen Pharmaceut Ltd, Med Affairs, Beijing, Peoples R China
[7] Xian Janssen Pharmaceut Ltd, Med Affairs, Shanghai, Peoples R China
[8] Peking Univ Peoples Hosp, Hematol Dept, 11 Xizhimen South St, Beijing 100044, Peoples R China
关键词
systemic light chain amyloidosis; AL amyloidosis; rare disease; big data; network analysis; machine model; natural language; processing; web-based; AL AMYLOIDOSIS; OUTCOMES;
D O I
10.2196/44420
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Systemic light chain (AL) amyloidosis is a rare and multisystem disease associated with increased morbidity and a poor prognosis. Delayed diagnoses are common due to the heterogeneity of the symptoms. However, real-world insights from Chinese patients with AL amyloidosis have not been investigated. Objective: This study aimed to describe the journey to an AL amyloidosis diagnosis and to build an in-depth understanding of the diagnostic process from the perspective of both clinicians and patients to obtain a correct and timely diagnosis. Methods: Publicly available disease-related content from social media platforms between January 2008 and April 2021 was searched. After performing data collection steps with a machine model, a series of disease-related posts were extracted. Natural language processing was used to identify the relevance of variables, followed by further manual evaluation and analysis. Results: A total of 2204 valid posts related to AL amyloidosis were included in this study, of which 1968 were posted on haodf.com. Of these posts, 1284 were posted by men (median age 57, IQR 46-67 years); 1459 posts mentioned renal-related symptoms, followed by heart (n=833), liver (n=491), and stomach (n=368) symptoms. Furthermore, 1502 posts mentioned symptoms related to 2 or more organs. Symptoms for AL amyloidosis most frequently mentioned by suspected patients were nonspecific weakness (n=252), edema (n=196), hypertrophy (n=168), and swelling (n=140). Multiple physician visits were common, and nephrologists (n=265) and hematologists (n=214) were the most frequently visited specialists by suspected patients for initial consultation. Additionally, interhospital referrals were also commonly seen, centralizing in tertiary hospitals. Conclusions: Chinese patients with AL amyloidosis experienced referrals during their journey toward accurate diagnosis. Increasing awareness of the disease and early referral to a specialized center with expertise may reduce delayed diagnosis and improve patient management.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Cardiff Online Cognitive Assessment in a National Sample: Cross-Sectional Web-Based Study
    Lynham, Amy Joanne
    Jones, Ian R.
    Walters, James T. R.
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25
  • [2] Quality of web-based information for osteoarthritis: a cross-sectional study
    Barrow, A.
    Palmer, S.
    Thomas, S.
    Guy, S.
    Brotherton, J.
    Dear, L.
    Pearson, J.
    [J]. PHYSIOTHERAPY, 2018, 104 (03) : 318 - 326
  • [3] Predictors of Patients' Loyalty Toward Doctors on Web-based Health Communities: Cross-Sectional Study
    Wu, Tailai
    Deng, Zhaohua
    Chen, Zhuo
    Zhang, Donglan
    Wu, Xiang
    Wang, Ruoxi
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (08)
  • [4] Knowledge, attitude, and practice of psoriasis patients toward their diseases: a web-based, cross-sectional study
    Tian, Jun
    Zhang, Lei
    Zhao, Xiangrong
    Yang, Li
    [J]. FRONTIERS IN MEDICINE, 2024, 11
  • [5] Cross-sectional analysis of web-based patient education materials on nail psoriasis
    Sharma, Divija
    Lipner, Shari
    [J]. INTERNATIONAL JOURNAL OF DERMATOLOGY, 2023, 62 (05) : E288 - E291
  • [6] Medication use in pregnancy: a cross-sectional, multinational web-based study
    Lupattelli, A.
    Spigset, O.
    Twigg, M. J.
    Zagorodnikova, K.
    Mardby, A. C.
    Moretti, M. E.
    Drozd, M.
    Panchaud, A.
    Haemeen-Anttila, K.
    Rieutord, A.
    Juraski, R. Gjergja
    Odalovic, M.
    Kennedy, D.
    Rudolf, G.
    Juch, H.
    Passier, A.
    Bjoernsdottir, I.
    Nordeng, H.
    [J]. BMJ OPEN, 2014, 4 (02):
  • [7] Quality of web-based information on social phobia: A cross-sectional study
    Khazaal, Yasser
    Fernandez, Sebastien
    Cochand, Sophie
    Reboh, Isabel
    Zullino, Daniele
    [J]. DEPRESSION AND ANXIETY, 2008, 25 (05) : 461 - 465
  • [8] Sexual activity satisfaction in symptomatic hip osteoarthritis patients: A cross-sectional, national web-based study
    Fu, Kai
    Zhang, Di
    Metcalf, Ben R.
    Bennell, Kim L.
    Zhang, Yuqing
    Oo, Win Min
    Deveza, Leticia A.
    Robbins, Sarah R.
    Zhang, Changqing
    Arden, Nigel
    Hunter, David J.
    [J]. INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2023, 26 (06) : 1067 - 1075
  • [9] Knowledge, attitude, and practices toward food safety among students in Bangladesh: A cross-sectional web-based study
    Ali, Md Taif
    Mahmud, Sultan
    Mohsin, Md
    Mian, Ashraf Uddin
    Islam, Ariful
    Ahmed, Fee Faysal
    [J]. HELIYON, 2023, 9 (04)
  • [10] Readability of web-based sources about induced abortion: a cross-sectional study
    Susanne Georgsson
    Tommy Carlsson
    [J]. BMC Medical Informatics and Decision Making, 20