CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score

Dingding Deng, 1,* Aiyuan Zhou, 2–4,* Ping Chen, 2–4 Qingcui Shuang 1 1Department of Respiratory Medicine, First Affiliated People’s Hospital of Shaoyang College, Shaoyang, Hunan 422001, People’s Republic of China; 2Department of Respiratory and Critical Med...

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Main Authors: Deng D, Zhou A, Chen P, Shuang Q
Format: Article
Language:English
Published: Dove Medical Press 2020-02-01
Series:International Journal of COPD
Subjects:
Online Access:https://www.dovepress.com/codexs-a-new-multidimensional-index-to-better-predict-frequent-copd-ex-peer-reviewed-article-COPD
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spelling doaj-e1fc0e4961b34bf4ae390fe9e94bfdb72020-11-25T01:22:13ZengDove Medical PressInternational Journal of COPD1178-20052020-02-01Volume 1524925951551CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression ScoreDeng DZhou AChen PShuang QDingding Deng, 1,* Aiyuan Zhou, 2–4,* Ping Chen, 2–4 Qingcui Shuang 1 1Department of Respiratory Medicine, First Affiliated People’s Hospital of Shaoyang College, Shaoyang, Hunan 422001, People’s Republic of China; 2Department of Respiratory and Critical Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People’s Republic of China; 3Respiratory Disease Research Unit, Central South University, Changsha, Hunan 410011, People’s Republic of China; 4Respiratory Disease Diagnosis and Treatment Center, Central South University, Changsha, Hunan 410011, People’s Republic of China *These authors contributed equally to this workCorrespondence: Qingcui ShuangDepartment of Respiratory Medicine, First Affiliated People’s Hospital of Shaoyang College, West Side of Dongfeng Pedestrian Street, Shuangqing District, Shaoyang, Hunan 422001, People’s Republic of ChinaTel +86 136 0739 8125Fax +86 0739 523 4441Email shuangqingcui@sina.comPurpose: Depression is reported in association with chronic obstructive pulmonary disease (COPD). However, to date, no multidimensional indices have taken depression into consideration to predict COPD patients’ prognosis. This study aimed to determine whether a new multidimensional index named CODEXS, based on comorbidities, airflow obstruction, dyspnea, previous exacerbation and depression assessed by Self-Rating Depression Scale (SDS), could predict 1-year exacerbations.Methods: This was a prospective study, patients with stable COPD were used to develop CODEXS at the first visit, and followed up in the 3rd, 6th, and 12th months. After the last visit, patients were divided into frequent and infrequent exacerbators. Another cohort of COPD patients was used for validation. The SDS scoring system in the multidimensional indices ranged from 0 to 4 based on the modified SDS value, representing no depression (25– 39 [0], 40– 49 [1]), mild depression (50– 59), moderate depression (60– 69), and severe depression (≥ 70). Comorbidity, dyspnea, airflow obstruction, and severe exacerbations were calculated according to CODEX thresholds.Results: Two sets of 105 and 107 patients were recruited in the development and validation cohorts, respectively. Depression was demonstrated as an independent risk factor for frequent exacerbators (odds ratio (OR)=  1.14, 95% confidence interval (CI) =  1.06– 1.23, P <  0.001). The prevalence of depression in frequent exacerbators (35.09%) was higher than that in infrequent exacerbators. CODEXS was significantly associated with exacerbation (OR =2.91; 95% CI, 1.89– 4.48, p< 0.001). Receiver operating characteristic (ROC) curve comparison showed that CODEXS was superior to BODEX(BMI, airflow obstruction, dyspnea, previous exacerbation), BODE (BMI, airflow obstruction, dyspnea, exercise), and updated ADO (age, dyspnea, and airflow obstruction) indices, confirmed by the validation cohort with sensitivity at 85.94% and specificity at 76.74%.Conclusion: Depression is an independent risk factor for COPD exacerbation. CODEXS is a useful predictor for predicting frequent exacerbators within 1 year and is superior to other previously published indices.Keywords: COPD, depression, Self-Rating Depression Scale, exacerbation, CODEXShttps://www.dovepress.com/codexs-a-new-multidimensional-index-to-better-predict-frequent-copd-ex-peer-reviewed-article-COPDcopddepressionself-rating depression scaleexacerbationcodexs
collection DOAJ
language English
format Article
sources DOAJ
author Deng D
Zhou A
Chen P
Shuang Q
spellingShingle Deng D
Zhou A
Chen P
Shuang Q
CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
International Journal of COPD
copd
depression
self-rating depression scale
exacerbation
codexs
author_facet Deng D
Zhou A
Chen P
Shuang Q
author_sort Deng D
title CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
title_short CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
title_full CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
title_fullStr CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
title_full_unstemmed CODEXS: A New Multidimensional Index to Better Predict Frequent COPD Exacerbators with Inclusion of Depression Score
title_sort codexs: a new multidimensional index to better predict frequent copd exacerbators with inclusion of depression score
publisher Dove Medical Press
series International Journal of COPD
issn 1178-2005
publishDate 2020-02-01
description Dingding Deng, 1,* Aiyuan Zhou, 2–4,* Ping Chen, 2–4 Qingcui Shuang 1 1Department of Respiratory Medicine, First Affiliated People’s Hospital of Shaoyang College, Shaoyang, Hunan 422001, People’s Republic of China; 2Department of Respiratory and Critical Medicine, Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, People’s Republic of China; 3Respiratory Disease Research Unit, Central South University, Changsha, Hunan 410011, People’s Republic of China; 4Respiratory Disease Diagnosis and Treatment Center, Central South University, Changsha, Hunan 410011, People’s Republic of China *These authors contributed equally to this workCorrespondence: Qingcui ShuangDepartment of Respiratory Medicine, First Affiliated People’s Hospital of Shaoyang College, West Side of Dongfeng Pedestrian Street, Shuangqing District, Shaoyang, Hunan 422001, People’s Republic of ChinaTel +86 136 0739 8125Fax +86 0739 523 4441Email shuangqingcui@sina.comPurpose: Depression is reported in association with chronic obstructive pulmonary disease (COPD). However, to date, no multidimensional indices have taken depression into consideration to predict COPD patients’ prognosis. This study aimed to determine whether a new multidimensional index named CODEXS, based on comorbidities, airflow obstruction, dyspnea, previous exacerbation and depression assessed by Self-Rating Depression Scale (SDS), could predict 1-year exacerbations.Methods: This was a prospective study, patients with stable COPD were used to develop CODEXS at the first visit, and followed up in the 3rd, 6th, and 12th months. After the last visit, patients were divided into frequent and infrequent exacerbators. Another cohort of COPD patients was used for validation. The SDS scoring system in the multidimensional indices ranged from 0 to 4 based on the modified SDS value, representing no depression (25– 39 [0], 40– 49 [1]), mild depression (50– 59), moderate depression (60– 69), and severe depression (≥ 70). Comorbidity, dyspnea, airflow obstruction, and severe exacerbations were calculated according to CODEX thresholds.Results: Two sets of 105 and 107 patients were recruited in the development and validation cohorts, respectively. Depression was demonstrated as an independent risk factor for frequent exacerbators (odds ratio (OR)=  1.14, 95% confidence interval (CI) =  1.06– 1.23, P <  0.001). The prevalence of depression in frequent exacerbators (35.09%) was higher than that in infrequent exacerbators. CODEXS was significantly associated with exacerbation (OR =2.91; 95% CI, 1.89– 4.48, p< 0.001). Receiver operating characteristic (ROC) curve comparison showed that CODEXS was superior to BODEX(BMI, airflow obstruction, dyspnea, previous exacerbation), BODE (BMI, airflow obstruction, dyspnea, exercise), and updated ADO (age, dyspnea, and airflow obstruction) indices, confirmed by the validation cohort with sensitivity at 85.94% and specificity at 76.74%.Conclusion: Depression is an independent risk factor for COPD exacerbation. CODEXS is a useful predictor for predicting frequent exacerbators within 1 year and is superior to other previously published indices.Keywords: COPD, depression, Self-Rating Depression Scale, exacerbation, CODEXS
topic copd
depression
self-rating depression scale
exacerbation
codexs
url https://www.dovepress.com/codexs-a-new-multidimensional-index-to-better-predict-frequent-copd-ex-peer-reviewed-article-COPD
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