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Analysis of factors influencing short-term poor prognosis in patients with acute exacerbation of chronic obstructive pulmonary disease and construction of a nomogram
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Yao LIU, Yuan WANG, Ya-ning ZHAO, Xu ZHAO, Da-ye ZHAO
Modern Preventive Medicine | 2025, 52(5) : 812 - 817
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Modern Preventive Medicine | 2025, 52(5): 812-817
Epidemiology and Statistical Methods
Analysis of factors influencing short-term poor prognosis in patients with acute exacerbation of chronic obstructive pulmonary disease and construction of a nomogram
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Yao LIU, Yuan WANG, Ya-ning ZHAO, Xu ZHAO, Da-ye ZHAO
Affiliations
  • School of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, Hebei 063210, China
Published: 2025-03-10 doi: 10.20043/j.cnki.MPM.202204520
Outline
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Objective

To construct a risk prediction model for short-term poor prognosis in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) and to explore the influencing factors of poor short-term prognosis in these patients, providing a basis for early prediction and intervention.

Methods

AECOPD patients admitted to the Department of Respiratory Medicine at Cangzhou People’s Hospital in Hebei Province from October 2020 to September 2021 were selected as the study subjects. After 90 days, patients were divided into case group (n=167) and control group (n=250) based on prognosis outcomes. Patient demographics, disease conditions, the Modified Medical Research Council (mMRC) dyspnea scale, and the COPD Assessment Test (CAT) were collected at different time points. Binary logistic regression was used for factor analysis, and a nomogram prediction model was established. The diagnostic efficacy and calibration of the nomogram model were evaluated using ROC curves and calibration curves, while DCA was used to assess clinical utility.

Results

Multivariate analysis indicated that marital status (OR=2.111, 95%CI:1.076-4.141), severity of illness (OR=5.322, 95%CI: 2.908-9.740), history of frequent acute exacerbations (OR=8.217, 95%CI:4.569-14.778), nutritional risk (OR=2.463, 95%CI: 1.141-5.319), and PCT (OR=2.039, 95%CI: 1.116-3.727) were independent risk factors for poor short-term prognosis in AECOPD patients. The nomogram prediction model had an AUC of 0.894 (95%CI: 0.868-0.929), and the calibration curve demonstrated good consistency between predicted probabilities and actual outcomes, indicating high predictive accuracy.

Conclusion

The nomogram model can accurately identify the risk of poor short-term prognosis in AECOPD patients, providing a theoretical basis for personalized clinical management of AECOPD patients.

Chronic obstructive pulmonary disease  /  Nomogram prediction model  /  Risk factors
Yao LIU, Yuan WANG, Ya-ning ZHAO, Xu ZHAO, Da-ye ZHAO. Analysis of factors influencing short-term poor prognosis in patients with acute exacerbation of chronic obstructive pulmonary disease and construction of a nomogram[J]. Modern Preventive Medicine, 2025 , 52 (5) : 812 -817 . DOI: 10.20043/j.cnki.MPM.202204520
Year 2025 volume 52 Issue 5
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Article Info
doi: 10.20043/j.cnki.MPM.202204520
  • Receive Date:2022-04-30
  • Online Date:2026-03-18
  • Published:2025-03-10
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  • Received:2022-04-30
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    School of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, Hebei 063210, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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