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      A clinical prediction model for hospitalized COPD exacerbations based on “treatable traits”

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          Abstract

          Background

          Assessing risk of future exacerbations is an important component in COPD management. History of exacerbation is a strong and independent predictor of future exacerbations, and the criterion of ≥2 nonhospitalized or ≥1 hospitalized exacerbation is often used to identify high-risk patients in whom therapy should be intensified. However, other factors or “treatable traits” also contribute to risk of exacerbation.

          Objective

          The objective of the study was to develop and externally validate a novel clinical prediction model for risk of hospitalized COPD exacerbations based on both exacerbation history and treatable traits.

          Patients and methods

          A total of 237 patients from the COPD Registry of Changi General Hospital, Singapore, aged 75±9 years and with mean post-bronchodilator FEV 1 60%±20% predicted, formed the derivation cohort. Hospitalized exacerbation rate was modeled using zero-inflated negative binomial regression. Calibration was assessed by graphically comparing the agreement between predicted and observed annual hospitalized exacerbation rates. Predictive (discriminative) accuracy of the model for identifying high-risk patients (defined as experiencing ≥1 hospitalized exacerbations) was assessed with area under the curve (AUC) and receiver operating characteristics analyses, and compared to other existing risk indices. We externally validated the prediction model using a multicenter dataset comprising 419 COPD patients.

          Results

          The final model included hospitalized exacerbation rate in the previous year, history of acute invasive/noninvasive ventilation, coronary artery disease, bronchiectasis, and sputum nontuberculous mycobacteria isolation. There was excellent agreement between predicted and observed annual hospitalized exacerbation rates. AUC was 0.789 indicating good discriminative accuracy, and was significantly higher than the AUC of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) risk assessment criterion (history of ≥1 hospitalized exacerbation in the previous year) and the age, dyspnea, and obstruction index. When applied to the independent multicenter validation cohort, the model was well-calibrated and discrimination was good.

          Conclusion

          We have derived and externally validated a novel risk prediction model for COPD hospitalizations which outperforms several other risk indices. Our model incorporates several treatable traits which can be targeted for intervention to reduce risk of future hospitalized exacerbations.

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          Most cited references 25

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          Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function.

          Currently, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) of less than 0.70 as assessed by spirometry after bronchodilator use. However, many smokers who do not meet this definition have respiratory symptoms.
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            Effect of Home Noninvasive Ventilation With Oxygen Therapy vs Oxygen Therapy Alone on Hospital Readmission or Death After an Acute COPD Exacerbation: A Randomized Clinical Trial.

            Outcomes after exacerbations of chronic obstructive pulmonary disease (COPD) requiring acute noninvasive ventilation (NIV) are poor and there are few treatments to prevent hospital readmission and death.
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              COPD exacerbations: definitions and classifications.

              Chronic obstructive pulmonary disease (COPD) is defined independently of exacerbations, which are largely a feature of moderate-to-severe disease. This article is the result of a workshop that tried to define exacerbations of COPD for use in clinical, pharmacological and epidemiological studies. The conclusions represent the consensus of those present. This review describes definitions, ascertainment, severity assessments, duration and frequency, using varying sources of data including direct patient interview, healthcare databases and symptom diaries kept by patients in studies. The best general definition of a COPD exacerbation is the following: an exacerbation of COPD is a sustained worsening of the patient's condition, from the stable state and beyond normal day-to-day variations that is acute in onset and may warrant additional treatment in a patient with underlying COPD. A more specific definition for studies where a bacteriological cause of exacerbation is being studied is included, as well as simpler definitions for retrospective identification from database sources. Prospective diary card assessments are best recorded as changes from an agreed baseline, rather than absolute symptom severities. Diary cards identify many unreported exacerbations, which on average have similar severities to reported exacerbations. A scale for exacerbation severity is proposed that incorporates in- and outpatient assessments. Exacerbation duration, which also relates to severity, is defined from diary card reports. Healthcare utilisation is not an adequate substitute for severity, depending on many unrelated social and comorbidity factors. It is an outcome in its own right.
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                Author and article information

                Journal
                Int J Chron Obstruct Pulmon Dis
                Int J Chron Obstruct Pulmon Dis
                International Journal of COPD
                International Journal of Chronic Obstructive Pulmonary Disease
                Dove Medical Press
                1176-9106
                1178-2005
                2019
                27 March 2019
                : 14
                : 719-728
                Affiliations
                [1 ]Department of Respiratory and Critical Care Medicine, Changi General Hospital, Singapore, anthony.yii.c.a@ 123456singhealth.com.sg
                [2 ]Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore
                [3 ]Translational Respiratory Research Laboratory, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
                [4 ]Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore
                [5 ]Department of General Medicine, Sengkang General Hospital, Singapore
                [6 ]Department of Respiratory Medicine, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
                [7 ]Duke-National University of Singapore Medical School, Singapore
                [8 ]Division of Pulmonary Diseases and Critical Care Medicine, Department of Medicine, UT Health Science Center, San Antonio, TX, USA
                Author notes
                Correspondence: Anthony CA Yii, Department of Respiratory and Critical Care Medicine, Changi General Hospital, 2 Simei St 3, 529889 Singapore, Email anthony.yii.c.a@ 123456singhealth.com.sg
                Article
                copd-14-719
                10.2147/COPD.S194922
                6443227
                © 2019 Yii et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                Categories
                Original Research

                Respiratory medicine

                exacerbations, clinical prediction model, risk assessment

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