Literature DB >> 30261994

Accuracy of diagnosis of COPD and factors associated with misdiagnosis in primary care setting. E-DIAL (Early DIAgnosis of obstructive lung disease) study group.

Stefano Nardini1, Isabella Annesi-Maesano2, Marzia Simoni3, Adriana Del Ponte4, Claudio Maria Sanguinetti5, Fernando De Benedetto4.   

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide and results in both substantial and increasing socioeconomic burden. Guidelines on COPD encourage primary care physicians to detect the disease at an early stage. Our main aim was to evaluate the accuracy of the diagnosis of COPD at the primary health care.
METHODS: 6466 patients were randomly selected in 22 Italian primary care practices (46% males, mean age 56 ± 16 years) and were asked about respiratory symptoms and risk for any chronic respiratory disease including COPD. After a prior evaluation, 701 patients (51% males, mean age 59 ± 15 years) were sent by General Practitioners (GPs) to Pulmonary Units (PU) for confirming the diagnosis. The agreement in diagnosing COPD between GPs and pulmonary diseases specialists was assessed by using Cohen's kappa (k) statistic.
RESULTS: Lack of precision in COPD diagnosis resulted in 13% of over-diagnosis and 59% of under-diagnosis. GPs were quite good in correctly excluding the patients who did not have COPD (specificity = 87%), but less good in diagnosing the patients with COPD (sensitivity = 41%). The risk of under-diagnosis was higher in people with age >62 years and in current/ex-smokers, when compared to no COPD, whereas it was higher in subject <62 years old and in those with no previous spirometry when compared to correctly diagnosed COPD.
CONCLUSION: Our results confirm that COPD misdiagnosis is common in primary care and that under-diagnosis is a major problem. It is necessary to enhance COPD diagnosis and to reduce misdiagnosis in primary care settings.
Copyright © 2018. Published by Elsevier Ltd.

Entities:  

Keywords:  Chronic obstructive pulmonary disease; Diagnosis; Primary care

Mesh:

Year:  2018        PMID: 30261994     DOI: 10.1016/j.rmed.2018.08.006

Source DB:  PubMed          Journal:  Respir Med        ISSN: 0954-6111            Impact factor:   3.415


  2 in total

1.  Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure.

Authors:  Sarah Jabbour; David Fouhey; Ella Kazerooni; Jenna Wiens; Michael W Sjoding
Journal:  J Am Med Inform Assoc       Date:  2022-05-11       Impact factor: 7.942

2.  Clinical Impact of Multidisciplinary Outpatient Care on Outcomes of Patients with COPD.

Authors:  Sahar Mansoor; Zaid Obaida; Lorna Ballowe; Amanda R Campbell; James T Patrie; Timothy D Byrum; Yun M Shim
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-01-08
  2 in total

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