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The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD

BACKGROUND: Accurate prediction of acute exacerbation helps select patients with chronic obstructive pulmonary disease (COPD) for individualized therapy. The potential of lymphocyte subsets to function as clinical predictive factors for acute exacerbations of chronic obstructive pulmonary disease (A...

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Autores principales: He, Shiyi, Wu, Shiyu, Chen, Tianwei, Huang, Weina, Yu, Aiping, Cao, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685522/
https://www.ncbi.nlm.nih.gov/pubmed/38031059
http://dx.doi.org/10.1186/s12890-023-02751-7
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author He, Shiyi
Wu, Shiyu
Chen, Tianwei
Huang, Weina
Yu, Aiping
Cao, Chao
author_facet He, Shiyi
Wu, Shiyu
Chen, Tianwei
Huang, Weina
Yu, Aiping
Cao, Chao
author_sort He, Shiyi
collection PubMed
description BACKGROUND: Accurate prediction of acute exacerbation helps select patients with chronic obstructive pulmonary disease (COPD) for individualized therapy. The potential of lymphocyte subsets to function as clinical predictive factors for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) remains uncertain. METHODS: In this single-center prospective cohort study with a 2-year follow-up, 137 patients aged 51 to 79 with AECOPD were enrolled. We examined the prognostic indicators of AECOPD by analyzing lymphocyte subsets and baseline symptom score. Furthermore, a predictive model was constructed to anticipate the occurrence of respiratory failure in patients experiencing AECOPD. RESULTS: The COPD Assessment Test (CAT) score combined with home oxygen therapy and CD4(+)CD8(+) T cells% to predict respiratory failure in AECOPD patients were the best (the area under the curves [AUC] = 0.77, 95% CI: 0.70–0.86, P < 0.0001, sensitivity: 60.4%, specificity: 86.8%). The nomogram model, the C index, calibration plot, decision curve analysis, and clinical impact curve all indicate the model’s good predictive performance. The observed decrease in the proportions of CD4(+)CD8(+) T cells appears to be correlated with more unfavorable outcomes. CONCLUSIONS: The nomogram model, developed to forecast respiratory failure in patients with AECOPD, utilizing variables such as home oxygen therapy, CAT score, and CD4(+)CD8(+) T cells%, demonstrated a high level of practicality in clinical settings. CD4(+)CD8(+) T cells serve as a reliable and readily accessible predictor of AECOPD, exhibiting greater stability compared to other indices. It is less susceptible to subjective influences from patients or physicians. This model facilitated personalized estimations, enabling healthcare professionals to make informed decisions regarding preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02751-7.
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spelling pubmed-106855222023-11-30 The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD He, Shiyi Wu, Shiyu Chen, Tianwei Huang, Weina Yu, Aiping Cao, Chao BMC Pulm Med Research BACKGROUND: Accurate prediction of acute exacerbation helps select patients with chronic obstructive pulmonary disease (COPD) for individualized therapy. The potential of lymphocyte subsets to function as clinical predictive factors for acute exacerbations of chronic obstructive pulmonary disease (AECOPD) remains uncertain. METHODS: In this single-center prospective cohort study with a 2-year follow-up, 137 patients aged 51 to 79 with AECOPD were enrolled. We examined the prognostic indicators of AECOPD by analyzing lymphocyte subsets and baseline symptom score. Furthermore, a predictive model was constructed to anticipate the occurrence of respiratory failure in patients experiencing AECOPD. RESULTS: The COPD Assessment Test (CAT) score combined with home oxygen therapy and CD4(+)CD8(+) T cells% to predict respiratory failure in AECOPD patients were the best (the area under the curves [AUC] = 0.77, 95% CI: 0.70–0.86, P < 0.0001, sensitivity: 60.4%, specificity: 86.8%). The nomogram model, the C index, calibration plot, decision curve analysis, and clinical impact curve all indicate the model’s good predictive performance. The observed decrease in the proportions of CD4(+)CD8(+) T cells appears to be correlated with more unfavorable outcomes. CONCLUSIONS: The nomogram model, developed to forecast respiratory failure in patients with AECOPD, utilizing variables such as home oxygen therapy, CAT score, and CD4(+)CD8(+) T cells%, demonstrated a high level of practicality in clinical settings. CD4(+)CD8(+) T cells serve as a reliable and readily accessible predictor of AECOPD, exhibiting greater stability compared to other indices. It is less susceptible to subjective influences from patients or physicians. This model facilitated personalized estimations, enabling healthcare professionals to make informed decisions regarding preventive interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-023-02751-7. BioMed Central 2023-11-29 /pmc/articles/PMC10685522/ /pubmed/38031059 http://dx.doi.org/10.1186/s12890-023-02751-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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.
spellingShingle Research
He, Shiyi
Wu, Shiyu
Chen, Tianwei
Huang, Weina
Yu, Aiping
Cao, Chao
The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title_full The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title_fullStr The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title_full_unstemmed The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title_short The predictive value of baseline symptom score and the peripheral CD4CD8 double-positive T cells in patients with AECOPD
title_sort predictive value of baseline symptom score and the peripheral cd4cd8 double-positive t cells in patients with aecopd
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685522/
https://www.ncbi.nlm.nih.gov/pubmed/38031059
http://dx.doi.org/10.1186/s12890-023-02751-7
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