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Symptoms and signs of lung cancer prior to diagnosis: case-control study using electronic health records from ambulatory care within a large US-based tertiary care centre.

Published version
Peer-reviewed

Repository DOI


Type

Article

Change log

Authors

Prado, Maria G 
Kessler, Larry G 
Au, Margaret A 
Burkhardt, Hannah A 
Zigman Suchsland, Monica  ORCID logo  https://orcid.org/0000-0001-7007-6973

Abstract

OBJECTIVE: Lung cancer is the most common cause of cancer-related death in the USA. While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from electronic health records (EHRs) in the USA. We aimed to identify symptoms and signs in patients prior to diagnosis in EHR data. DESIGN: Case-control study. SETTING: Ambulatory care clinics at a large tertiary care academic health centre in the USA. PARTICIPANTS, OUTCOMES: We studied 698 primary lung cancer cases in adults diagnosed between 1 January 2012 and 31 December 2019, and 6841 controls matched by age, sex, smoking status and type of clinic. Coded and free-text data from the EHR were extracted from 2 years prior to diagnosis date for cases and index date for controls. Univariate and multivariable conditional logistic regression were used to identify symptoms and signs associated with lung cancer at time of diagnosis, and 1, 3, 6 and 12 months before the diagnosis/index dates. RESULTS: Eleven symptoms and signs recorded during the study period were associated with a significantly higher chance of being a lung cancer case in multivariable analyses. Of these, seven were significantly associated with lung cancer 6 months prior to diagnosis: haemoptysis (OR 3.2, 95% CI 1.9 to 5.3), cough (OR 3.1, 95% CI 2.4 to 4.0), chest crackles or wheeze (OR 3.1, 95% CI 2.3 to 4.1), bone pain (OR 2.7, 95% CI 2.1 to 3.6), back pain (OR 2.5, 95% CI 1.9 to 3.2), weight loss (OR 2.1, 95% CI 1.5 to 2.8) and fatigue (OR 1.6, 95% CI 1.3 to 2.1). CONCLUSIONS: Patients diagnosed with lung cancer appear to have symptoms and signs recorded in the EHR that distinguish them from similar matched patients in ambulatory care, often 6 months or more before diagnosis. These findings suggest opportunities to improve the diagnostic process for lung cancer.

Description

Keywords

Health informatics, PRIMARY CARE, Respiratory tract tumours, Thoracic medicine, Adult, Humans, Electronic Health Records, Case-Control Studies, Tertiary Care Centers, Lung Neoplasms, Ambulatory Care

Journal Title

BMJ Open

Conference Name

Journal ISSN

2044-6055
2044-6055

Volume Title

13

Publisher

BMJ
Sponsorship
Cancer Research UK (C8640/A23385)
Epidemiology and End Results (SEER) Program of the National Cancer Institute Hutchinson Cancer Research Center (HHSN261201800004I, N01 PC-2018-00004)
Gordon and Betty Moore Foundation (GBMF8837)
NCI NIH HHS (HHSN261201000040I)