Prognostic value of the post-exercise heart rate recovery and BHDE-index in chronic obstructive pulmonary disease
The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascul...
Saved in:
Published in | BMC pulmonary medicine Vol. 23; no. 1; pp. 263 - 8 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
17.07.2023
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study.
From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation.
A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts.
The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. |
---|---|
AbstractList | Background The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study. Methods From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation. Results A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts. Conclusions The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. Keywords: Pulmonary rehabilitation, Chronic obstructive pulmonary disease, Pulmonary function, Heart rate recovery BackgroundThe BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study.MethodsFrom January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation.ResultsA total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts.ConclusionsThe BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study.BACKGROUNDThe BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study.From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation.METHODSFrom January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation.A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts.RESULTSA total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts.The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable.CONCLUSIONSThe BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study. From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation. A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts. The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study. From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation. A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts. The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. Abstract Background The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD. However, when spirometry was restricted to prevent cross-infection such as COVID-19 pandemic, a modified index would be needed. Because cardiovascular dysfunction is associated with poor clinical outcomes in COPD, we conducted a novel BHDE-index by replacing spirometry with post-exercise heart rate recovery (HRR, H) and evaluated its predictive performance in this observational study. Methods From January 2019 to December 2019, enrolled patients were analyzed as a derivation cohort for the setup of the model. This model was verified in another group of patients generated between January 2020 and December 2020, as the validation cohort. The post exercise HRR was defined as the difference of heart rate immediately after and 1 min after test cessation. Results A total of 447 patients with COPD were enrolled. Patients with abnormal HRR were older, with more severe airway obstruction, severe airway symptoms, faster resting heart rate, shorter 6-min walk distance and higher frequency of severe acute exacerbation in previous one year. The prediction performance of the BHDE-index for one-year severe COPD exacerbation was similar to that of the BODE-index in both the derivation and validation groups [area under the receiver operating characteristic curve (AUROC) 0.76 vs. 0.75, p = 0.369; AUROC 0.74 vs. 0.79, p = 0.05]. The prediction performance for 1 year mortality was also similar between BHDE-index and BODE-index in both cohorts [AUROC 0.80 vs. 0.77, p = 0.564; 0.76 vs. 0.70, p = 0.234]. Univariate and multivariate analyses also showed that the BHDE-index was an independent and important predictor of annual severe COPD exacerbation in the derivation and validation cohorts. Conclusions The BHDE-index is a good and easy-to-perform prediction model for the risk of severe acute exacerbation and 1-year mortality in COPD wherever spirometry results are unavailable. |
ArticleNumber | 263 |
Audience | Academic |
Author | Chien, Jung-Yien Huang, Chun-Kai Peng, Hui-Chuan Wu, Chia-Ling Yu, Chong-Jen Chen, Shih-Yu |
Author_xml | – sequence: 1 givenname: Shih-Yu surname: Chen fullname: Chen, Shih-Yu – sequence: 2 givenname: Chun-Kai surname: Huang fullname: Huang, Chun-Kai – sequence: 3 givenname: Chia-Ling surname: Wu fullname: Wu, Chia-Ling – sequence: 4 givenname: Hui-Chuan surname: Peng fullname: Peng, Hui-Chuan – sequence: 5 givenname: Chong-Jen surname: Yu fullname: Yu, Chong-Jen – sequence: 6 givenname: Jung-Yien surname: Chien fullname: Chien, Jung-Yien |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37461073$$D View this record in MEDLINE/PubMed |
BookMark | eNptkktv1DAURiNURB_wB1ggS2zYpPgRx54VaktLK1WCBawtx76Z8ShjT-1kVP49dzpt6SBkWbFujo99re-4OogpQlW9Z_SUMd1-LozrGa0pFzilVLV6VR2xRrGaN2178GJ9WB2XsqSUKS3Fm-pQqKZlVImj6u5HTvOYyhgc2dhhApJ6Mi6ArLFWwz1kFwqQBdg8kmxHIBlc2kD-TWz05Pz662Udood7EiJxi5wiilJXxjy5MWzQMw2rFC3yHkW2wNvqdW-HAu8evyfVr6vLnxfX9e33bzcXZ7e1k0zi0dq1HRWOWuds1_eedozPrLBO9zMFFkBDQxXvuW86QZngrVO905K3vPNOiJPqZuf1yS7NOocVXsIkG8xDIeW5wZ6CG8BI2jYCJ3MWGkm9VtZLYEClUK3WDl1fdq711K3AO4hjtsOedP9PDAszTxvDqJCCC42GT4-GnO4mKKNZheJgGGyENBXDtZjxRs2URPTjP-gyTTniW20pvb2Rav9Sc4sdhNgnPNhtpeZMSRyN0Ayp0_9QODysgsM49QHrexs-vOz0ucWnxCDAd4DLqZQM_TPCqNnG0uxiaTCW5iGWRok_Y9fU7Q |
Cites_doi | 10.1056/NEJM199910283411804 10.1136/thoraxjnl-2018-211855 10.1164/rccm.201610-2037ED 10.1016/S2213-2600(20)30246-0 10.1183/09031936.00072212 10.1378/chest.106.5.1432 10.1007/s00408-017-0027-0 10.1164/rccm.201604-0690SO 10.1586/erc.11.149 10.1161/JAHA.117.008341 10.1016/j.rmed.2004.11.012 10.1164/rccm.201607-1330OC 10.1183/13993003.00918-2020 10.1016/S0140-6736(17)31222-9 10.2147/COPD.S329454 10.1164/rccm.201810-1860SO 10.1164/ajrccm.166.1.at1102 10.2147/COPD.S311572 10.1183/16000617.0057-2018 10.1164/rccm.202009-3533SO 10.1378/chest.125.4.1286 10.1056/NEJMoa021322 |
ContentType | Journal Article |
Copyright | 2023. The Author(s). COPYRIGHT 2023 BioMed Central Ltd. 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Author(s) 2023 |
Copyright_xml | – notice: 2023. The Author(s). – notice: COPYRIGHT 2023 BioMed Central Ltd. – notice: 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s) 2023 |
DBID | AAYXX CITATION NPM 3V. 7TO 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH H94 K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI 7X8 5PM DOA |
DOI | 10.1186/s12890-023-02557-7 |
DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Oncogenes and Growth Factors Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Proquest Health Research Premium Collection Health Research Premium Collection (Alumni) AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Medical Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef PubMed Publicly Available Content Database Oncogenes and Growth Factors Abstracts ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection AIDS and Cancer Research Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
DatabaseTitleList | Publicly Available Content Database MEDLINE - Academic PubMed |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1471-2466 |
EndPage | 8 |
ExternalDocumentID | oai_doaj_org_article_506430641cae450d87ad5e1e0537688c PMC10353238 A757574381 37461073 10_1186_s12890_023_02557_7 |
Genre | Journal Article |
GeographicLocations | Taiwan |
GeographicLocations_xml | – name: Taiwan |
GrantInformation_xml | – fundername: National Taiwan University Hospital grantid: 112-S0108 – fundername: Ministry of Science and Technology, Taiwan grantid: MOST 111-2314-B-002 -201 -MY3 – fundername: National Taiwan University Hospital Hsin-Chu Branch grantid: 112-HCH-016 – fundername: ; grantid: 112-HCH-016 – fundername: ; grantid: MOST 111-2314-B-002 -201 -MY3 – fundername: ; grantid: 112-S0108 |
GroupedDBID | --- 0R~ 23N 2WC 53G 5GY 5VS 6J9 6PF 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAWTL AAYXX ABUWG ACGFO ACGFS ACIHN ACPRK ADBBV ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CITATION CS3 DIK DU5 E3Z EBD EBLON EBS EMB EMOBN F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IHR INH INR ITC KQ8 M1P M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ RNS ROL RPM RSV SMD SOJ SV3 TR2 UKHRP W2D WOQ WOW XSB NPM PMFND 3V. 7TO 7XB 8FK AZQEC DWQXO H94 K9. PJZUB PKEHL PPXIY PQEST PQUKI 7X8 5PM PUEGO |
ID | FETCH-LOGICAL-c515t-e8c6b03c0accabffd0b129a3ac8f97eaee8e4072f2d4b301326c7fc85262bdc33 |
IEDL.DBID | M48 |
ISSN | 1471-2466 |
IngestDate | Wed Aug 27 01:31:37 EDT 2025 Thu Aug 21 18:36:27 EDT 2025 Fri Jul 11 10:34:14 EDT 2025 Sat Jul 26 00:30:53 EDT 2025 Tue Jun 17 21:48:08 EDT 2025 Tue Jun 10 21:24:18 EDT 2025 Thu Apr 03 07:25:20 EDT 2025 Tue Jul 01 02:40:33 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Chronic obstructive pulmonary disease Heart rate recovery Pulmonary function Pulmonary rehabilitation |
Language | English |
License | 2023. The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c515t-e8c6b03c0accabffd0b129a3ac8f97eaee8e4072f2d4b301326c7fc85262bdc33 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 |
OpenAccessLink | https://www.proquest.com/docview/2838768876?pq-origsite=%requestingapplication% |
PMID | 37461073 |
PQID | 2838768876 |
PQPubID | 44785 |
PageCount | 8 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_506430641cae450d87ad5e1e0537688c pubmedcentral_primary_oai_pubmedcentral_nih_gov_10353238 proquest_miscellaneous_2839247975 proquest_journals_2838768876 gale_infotracmisc_A757574381 gale_infotracacademiconefile_A757574381 pubmed_primary_37461073 crossref_primary_10_1186_s12890_023_02557_7 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2023-07-17 |
PublicationDateYYYYMMDD | 2023-07-17 |
PublicationDate_xml | – month: 07 year: 2023 text: 2023-07-17 day: 17 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | BMC pulmonary medicine |
PublicationTitleAlternate | BMC Pulm Med |
PublicationYear | 2023 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | 2557_CR1 BR Celli (2557_CR7) 2004; 350 ATS statement (2557_CR19) 2002; 166 D Zhao (2557_CR16) 2021; 16 M Volterrani (2557_CR22) 1994; 106 SL Cheng (2557_CR17) 2021; 16 RA Stockley (2557_CR6) 2019; 199 DA Rodriguez (2557_CR14) 2017; 195 JD Keene (2557_CR5) 2017; 195 2557_CR9 2557_CR20 MT Jensen (2557_CR23) 2013; 42 S Okutucu (2557_CR13) 2011; 9 SL Cheng (2557_CR25) 2015; 10 DMG Halpin (2557_CR2) 2021; 203 N Seshadri (2557_CR21) 2004; 125 2557_CR18 CR Cole (2557_CR11) 1999; 341 2557_CR12 JM Fermont (2557_CR24) 2019; 74 KF Rabe (2557_CR3) 2017; 389 S Roversi (2557_CR10) 2016; 194 GC Donaldson (2557_CR4) 2017; 195 M Lacasse (2557_CR15) 2005; 99 JH Hull (2557_CR8) 2020; 8 |
References_xml | – volume: 341 start-page: 1351 issue: 18 year: 1999 ident: 2557_CR11 publication-title: N Engl J Med doi: 10.1056/NEJM199910283411804 – volume: 74 start-page: 439 issue: 5 year: 2019 ident: 2557_CR24 publication-title: Thorax doi: 10.1136/thoraxjnl-2018-211855 – ident: 2557_CR18 – volume: 195 start-page: 415 issue: 4 year: 2017 ident: 2557_CR4 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201610-2037ED – volume: 8 start-page: 666 issue: 7 year: 2020 ident: 2557_CR8 publication-title: Lancet Respir Med doi: 10.1016/S2213-2600(20)30246-0 – volume: 42 start-page: 341 issue: 2 year: 2013 ident: 2557_CR23 publication-title: Eur Respir J doi: 10.1183/09031936.00072212 – volume: 106 start-page: 1432 issue: 5 year: 1994 ident: 2557_CR22 publication-title: Chest doi: 10.1378/chest.106.5.1432 – volume: 195 start-page: 463 issue: 4 year: 2017 ident: 2557_CR14 publication-title: Lung doi: 10.1007/s00408-017-0027-0 – volume: 194 start-page: 1319 issue: 11 year: 2016 ident: 2557_CR10 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201604-0690SO – volume: 9 start-page: 1417 issue: 11 year: 2011 ident: 2557_CR13 publication-title: Expert Rev Cardiovasc Ther doi: 10.1586/erc.11.149 – ident: 2557_CR12 doi: 10.1161/JAHA.117.008341 – volume: 10 start-page: 2459 year: 2015 ident: 2557_CR25 publication-title: Int J Chron Obstruct Pulmon Dis – volume: 99 start-page: 877 issue: 7 year: 2005 ident: 2557_CR15 publication-title: Respir Med doi: 10.1016/j.rmed.2004.11.012 – volume: 195 start-page: 473 issue: 4 year: 2017 ident: 2557_CR5 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201607-1330OC – ident: 2557_CR20 doi: 10.1183/13993003.00918-2020 – volume: 389 start-page: 1931 issue: 10082 year: 2017 ident: 2557_CR3 publication-title: Lancet doi: 10.1016/S0140-6736(17)31222-9 – volume: 16 start-page: 2869 year: 2021 ident: 2557_CR17 publication-title: Int J Chron Obstruct Pulmon Dis doi: 10.2147/COPD.S329454 – volume: 199 start-page: 1195 issue: 10 year: 2019 ident: 2557_CR6 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.201810-1860SO – volume: 166 start-page: 111 issue: 1 year: 2002 ident: 2557_CR19 publication-title: Am J Respir Crit Care Med doi: 10.1164/ajrccm.166.1.at1102 – volume: 16 start-page: 2545 year: 2021 ident: 2557_CR16 publication-title: Int J Chron Obstruct Pulmon Dis doi: 10.2147/COPD.S311572 – ident: 2557_CR9 doi: 10.1183/16000617.0057-2018 – ident: 2557_CR1 – volume: 203 start-page: 24 issue: 1 year: 2021 ident: 2557_CR2 publication-title: Am J Respir Crit Care Med doi: 10.1164/rccm.202009-3533SO – volume: 125 start-page: 1286 issue: 4 year: 2004 ident: 2557_CR21 publication-title: Chest doi: 10.1378/chest.125.4.1286 – volume: 350 start-page: 1005 issue: 10 year: 2004 ident: 2557_CR7 publication-title: N Engl J Med doi: 10.1056/NEJMoa021322 |
SSID | ssj0017853 |
Score | 2.3261986 |
Snippet | The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in COPD.... Background The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in... BackgroundThe BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict outcomes in... Abstract Background The BODE index, consisting of body mass index (B), airflow obstruction (O), dyspnea score (D), and exercise capacity (E), can predict... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 263 |
SubjectTerms | Aerosols Analysis Body mass index Care and treatment Chronic obstructive pulmonary disease Clinical outcomes COVID-19 Cross-infection Dyspnea Health aspects Heart beat Heart rate Heart rate recovery Lung diseases Lung diseases, Obstructive Measurement Mortality Obstructive lung disease Pay for performance Physical training Prediction models Prognosis Pulmonary function Pulmonary function tests Pulmonary rehabilitation Pulmonology Respiration Respiratory tract Spirometry Survival analysis Walking |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrZ1Nb9QwEIYt1APigvgmtCAjIXFAVpM49jjHFlqtkIo4UKk3y18RlVBSaIvUf8-M46w24sCFa-zdJJ5x5p2M85ixdy2oJnZRia6PWnRdLUUfOyf6OkrwUevo6IX-2Re9Oe8-X6iLna2-aE3YjAeeB-6QgGqkkpvgUqfqaMBFlZqUOSTGBHr6YsxbkqlSPwCMQssnMkYfXjdUTxMYnwRpaBCwCkOZ1v_3M3knKK0XTO5EoNNH7GGRjvxovuTH7F4an7D7Z6U4_pT9_PpromVz2MyJ4Z34NHDUd_wKj4llbyVOW1jfcCJEcMqG0ZXvuBsjP958OhEZnsgvRx5maC6ffCHM_sb_uf2BTuuwfynrPGPnpyffPm5E2VFBBNQteCoTtK9lqB0azg9DrD3GeyddMEMPyaVkEhHThjZ2XlIZRgcYglGtbn0MUj5ne-M0ppeMp6YfALxLhBIFQ5g-aFTCbKrxgCK4Yh-WAbZXMzjD5oTDaDubw6I5bDaHhYodkw22PQl6nQ-gK9jiCvZfrlCx92RBS1MTzRRc-cIAL5ggV_YIUJsCMc0qdrDqiVMqrJsXH7BlSl9b1GGGTgO6Ym-3zfRLWqY2puk298F8FnpQFXsxu8z2liQQ2h5kxczKmVb3vG4ZL79n4HdTSyVRW736H6O0zx60eSIQHPSA7aETpdcorG78mzyH_gAfDR8e priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfZ3Ni9UwEMCDriBexG-rq0QQPEjYtmkz6Ul2dZeHsOLBhXcL-aouSPt2367gf-9Mmj63CF6b9HNmMjNJ-hvG3tbQVqEJrWi6oETTlFJ0obGiK4MEF5QKlib0T7-o1Vnzed2u84TbNm-rnMfENFCH0dMc-QG6QTRcNAn1YXMhqGoUra7mEhq32R1Cl9GWLljvEi4qPC_nH2W0OthWtKom0EsJiqRBwMIZJWb_vyPzDde03DZ5ww-dPGD3cwDJDyeJP2S34vCI3T3NS-SP2cXXy5E2z2EzJ5J35GPPMcrjGzwm5gpLnApZX3HiRHDKiVGhf3M7BH60-nQsEkKRnw_cT-hcPrrMmf2F17n-id_CYv-8uPOEnZ0cf_u4ErmugvAYveCttFeulL60KD7X96F06PWttF73HUQbo47ETevr0DhJizHKQ-91W6vaBS_lU7Y3jEN8znisuh7A2UhAUdAE64OqjZhTVQ4wFC7Y-_kDm82EzzAp7dDKTOIwKA6TxGGgYEckg11PQl-nA-Pld5MtyRBhj9KmytvYtGXQYEMbq5jANFr7gr0jCRoyUBSTt_k_A3xgQl2ZQ8AIFYhsVrD9RU80LL9snnXAZMPemr9qWLA3u2Y6kzarDXG8Tn0wq4UO2oI9m1Rm90oSCHAPsmB6oUyLd162DOc_Eva7KmUrMcJ68f_nesnu1UnFCf65z_ZQPeIrDJyu3OtkHX8AB4AX2Q priority: 102 providerName: ProQuest |
Title | Prognostic value of the post-exercise heart rate recovery and BHDE-index in chronic obstructive pulmonary disease |
URI | https://www.ncbi.nlm.nih.gov/pubmed/37461073 https://www.proquest.com/docview/2838768876 https://www.proquest.com/docview/2839247975 https://pubmed.ncbi.nlm.nih.gov/PMC10353238 https://doaj.org/article/506430641cae450d87ad5e1e0537688c |
Volume | 23 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1La9wwEBZ5QOml9F236aJCoYei1k-NfCgl225YChtC6MLSi5AlOQ0EO9kkpfn3nZHtbUxz6MUHS7ZszzfWNx75G8beplAkLneFyEsnRZ7HmShdbkQZuwwqJ6Uz9EF_cSjny_zbqlhtsaHcUf8AL-8M7aie1HJ99uH3xc1ndPhPweGV_HiZULZM4OwjiCGDgG22izMTkKMu8r9ZBVBBlTLBF7JIcymHn2juPMdoogp6_v--tW9NW-MllbfmqIOH7EFPLvl-h4ZHbMs3j9m9RZ8-f8IujtYtLazDZk4q3563NUcGyM9xnxiqL3Eqcn3FSUOCU7yMYL_hpnF8Ov86E0FekZ823Hayuryteg3aX3ie6zOEtcH-feLnKVsezL5_mYu-5oKwyGxwKGVlFWc2Nmjaqq5dXCEjMJmxqi7BG--VJ021OnV5lVGiRlqorSpSmVbOZtkzttO0jX_BuE_KGqAynsRGQZGQHySFx3grqQBpcsTeDw9Yn3fSGjqEJErqzhwazaGDOTREbEo22PQkWeywo12f6N7LNKnvUUiVWOPzInYKjCt84oNojVI2Yu_IgprghGaypv8HAS-YZLD0PiB7BVI9i9jeqCc6nR03DxjQA2Y1MjVFw4CM2JtNMx1JC9ka316HPhjxQglFxJ53kNncUgYkfg9ZxNQITKN7Hrc0pz-DJHgSZ0WG7Ovlfwz8it1PA85JHXSP7SBG_GtkVlfVhG3DCiZsdzo7PDqehO8Tk-BCuD2e_vgDSi4jVQ |
linkProvider | Scholars Portal |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB5VWwm4IN4EChgJxAFZTeIkdg4IdelWW9pdVaiVejOO7UAllGy7W1D_FL-RmTyWRkjcerWdyPa8PfY3AG9imUYucSlPcpfxJAkFz11ieB46IQuXZc7Qgf5snk1Pks-n6ekG_O7fwtC1yl4nNora1ZbOyLfRDKLgokhkHxfnnKpGUXa1L6HRssWBv_qFIdvyw_4u0vdtHO9Njj9NeVdVgFu03Svulc2KUNjQ4OSLsnRhgTbPCGNVmUtvvFeeUMPK2CWFoFREZmVpVRpnceEsHYCiyt9MBIYyI9gcT-ZHX9Z5C4nWr3-ao7LtZUR5PI52kZPvLrkcmL-mSsC_tuCaMRxe1Lxm-fbuwd3OZWU7LY_dhw1fPYBbsy4p_xDOjy5quq6H3Yywwz2rS4Z-JVtgG-9rOjEqnb1ihEzBKApHEbpipnJsPN2d8Aa0kZ1VzLZgvawuOmTbn_ifyx-4-wbHd-mkR3ByI3v-GEZVXfmnwHyUl1IWxhOEqVQEDyij1GMUFxUSne8A3vcbrBctYIduAh2V6ZYcGsmhG3JoGcCYaLAeSWDbTUN98U13sqsJ048Ctcgan6ShU9K41Ee-gcJRygbwjiioSSUgmazpXjbghAlcS-9I9IklYakFsDUYiaJsh909D-hOlSz1X8YP4PW6m76k63GVry-bMRhHy1ymATxpWWa9JCEJUl-KANSAmQZrHvZUZ98boPEoFKlAn-7Z_-f1Cm5Pj2eH-nB_fvAc7sQNuxP06BaMkFX8C3TbVsXLTlYYfL1p8fwDC4lYTA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Prognostic+value+of+the+post-exercise+heart+rate+recovery+and+BHDE-index+in+chronic+obstructive+pulmonary+disease&rft.jtitle=BMC+pulmonary+medicine&rft.au=Chen%2C+Shih-Yu&rft.au=Huang%2C+Chun-Kai&rft.au=Wu%2C+Chia-Ling&rft.au=Peng%2C+Hui-Chuan&rft.date=2023-07-17&rft.issn=1471-2466&rft.eissn=1471-2466&rft.volume=23&rft.issue=1&rft.spage=263&rft_id=info:doi/10.1186%2Fs12890-023-02557-7&rft.externalDBID=NO_FULL_TEXT |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2466&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2466&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2466&client=summon |