Prevalence of Asthma Characteristics in COPD Patients in a Dutch Well-Established Asthma/COPD Service for Primary Care

Purpose: Primary care COPD guidelines indicate that COPD patients with asthma characteristics should be treated as having asthma. This study aims to describe the prevalence of asthma characteristics in patients with a pulmonologist-confirmed working diagnosis of COPD or ACO. Patients and Methods: This retrospective cross-sectional study used real-life data (collected between 2007 and 2017) from a Dutch asthma/COPD-service, a structured web-based system in which pulmonologists support general practitioners in their diagnosis of patients with suspicion of obstructive lung disease. The prevalence of asthma characteristics (history of asthma, atopy, symptoms, and reversibility) and blood eosinophil (Eos) counts were assessed in patients with a working diagnosis of COPD or ACO. Results: Of the 14,141 patients, ≥40 years in the dataset, 4475 (31.6%) were diagnosed with asthma, 3532 (25.0%) with COPD, and 1276 (9.0%) with ACO. Asthma characteristics were present in 65.6% (n=1956) of the COPD and 90.9% (n=1059) of the ACO patients. Eos counts of ≥ 300 cells per μL were found in 35.7% (n=924) of the COPD patients and 35.3% (n=341) of the ACO patients. Conclusion: In this group of COPD and ACO patients remotely diagnosed by pulmonologists, a substantial proportion would be considered to have asthma characteristics according to the guidelines. This may explain the high number of inhaled corticosteroid (ICS) prescriptions found in primary care COPD patients. Prospective studies are necessary to identify patients who may or may not benefit from ICS containing treatment. Hence, personalized care in primary care can be optimized

Aeroallergen sensitisation for detecting asthma in primary care:a diagnostic test accuracy study

peer reviewe

Development of a diagnostic decision tree for obstructive pulmonary diseases based on real-life data

The aim of this study was to develop and explore the diagnostic accuracy of a decision tree derived from a large real-life primary care population. Data from 9297 primary care patients (45% male, mean age 53±17 years) with suspicion of an obstructive pulmonary disease was derived from an asthma/chronic obstructive pulmonary disease (COPD) service where patients were assessed using spirometry, the Asthma Control Questionnaire, the Clinical COPD Questionnaire, history data and medication use. All patients were diagnosed through the Internet by a pulmonologist. The Chi-squared Automatic Interaction Detection method was used to build the decision tree. The tree was externally validated in another real-life primary care population (n=3215). Our tree correctly diagnosed 79% of the asthma patients, 85% of the COPD patients and 32% of the asthma–COPD overlap syndrome (ACOS) patients. External validation showed a comparable pattern (correct: asthma 78%, COPD 83%, ACOS 24%). Our decision tree is considered to be promising because it was based on real-life primary care patients with a specialist's diagnosis. In most patients the diagnosis could be correctly predicted. Predicting ACOS, however, remained a challenge. The total decision tree can be implemented in computer-assisted diagnostic systems for individual patients. A simplified version of this tree can be used in daily clinical practice as a desk tool

A telehealth integrated asthma-COPD service for primary care: a proposal for a pilot feasibility study in Crete, Greece

<p>Abstract</p> <p>Background</p> <p>Chronic obstructive pulmonary disease (COPD) and asthma are considered underdiagnosed and misdiagnosed chronic diseases. In The Netherlands, a COPD-asthma telemedicine service has been developed to increase GPs' ability to diagnose and manage COPD and asthma. A telemedicine COPD-asthma service may benefit Greece as it is a country, partly due to its geography, that does not have easy access to pulmonologists.</p> <p>Findings</p> <p>Therefore, a pilot feasibility study has been designed in Greece in order to establish this telemedicine service. Ten rural practices, in the island of Crete, with an average population of 2000 patients per practice will pilot the project supported by three pulmonologists. This paper presents the translated interfaces, the flowcharts and the steps that are considered as necessary for this feasibility study in Crete, Greece.</p

We provided patients with patients oriented diagnosis and treatment advice from their lung assessments using an algorithm. It was feasible and in general well appreciated by our patients

Aim: We examined the feasibility of automatically providing patients with their medical results from a lung function assessment . Method: 46 patients (20% male, mean age 61[20-86] years, 4 1 % asthma, 30% COPD) awere included. GPs were asked to discuss the results with their patients 3 weeks after assessment. An algorithm was developed to automatically generate the results according to 3 formats. Patients received these formats 3 weeks after assessment. We examined patients opinion's, preferences and disease severity with an evaluation questionnaire (rating scales 1(poor) to 10(excellent)), the Asthma Control Questionnaire(ACQ) and the Clinical COPD Questionnaire(CCQ) using non-parametric tests. Results: 33 patients returned the questionnaires. 97%(n=31) would like to view their results again. The information caused some patients to feel anxious (18% (n=6)) which might have been caused by the fact that 46%(n=15) of the patients were not informed about the results by their GP. Uncontrolled asthmatics (ACQ>1.5) were less likely to adhere to the provided advices (uncontrolled:n=5,mean 2.50, controlled:n=14,mean 3.00, MWU:p=0.02). Conclusion: Automatically providing results from lung function tests is feasible and well appreciated by patients. However, the results should first be discussed with the patient by a professional. (Figure presented)