Risk factors of cognitive frailty in elderly chronic obstructive pulmonary disease patients and its implication for death: a cohort study

Wu, Xia; Huang, Kehan; Jiang, Tingting; Yu, Huiqin

doi:10.1111/psyg.13073

Cited by 2 publications

References 36 publications

(66 reference statements)

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Construction and verification of a risk prediction model for cognitive frailty in older patients with chronic obstructive pulmonary disease and diabetes mellitus

Liang,

Li,

Feng

et al. 2024

J Int Med Res

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Objective We explored risk factors for cognitive frailty in older patients with chronic obstructive pulmonary disease (COPD) and diabetes mellitus to develop and verify a risk prediction model for cognitive frailty. Methods This was a cross-sectional study. Convenience sampling was used to randomly select 378 patients hospitalized between February 2022 and December 2023. We allocated 265 patients who visited between February 2022 and February 2023 to a modeling group to analyze risk factors for cognitive frailty and create a logistic regression model for risk prediction. Another 113 patients who visited between March 2023 and December 2023 were included in a validation group for model verification. Results The cognitive frailty incidence in the 265 patients was 35.09% (93/265). Regression analysis showed that age >80 years (odds ratio [OR] = 4.576), regular exercise (OR = 0.390, polypharmacy (OR = 3.074), depression (OR = 2.395) duration of COPD combined with diabetes (OR = 1.902), Family APGAR index score (OR = 0.428), and chronic pain (OR = 2.156) were factors influencing the occurrence of cognitive frailty in older patients with COPD accompanied by diabetes. Conclusions The constructed risk prediction model for cognitive frailty in older patients with COPD and diabetes showed good predictive value, aiding in the clinical identification of high-risk patients and facilitating timely intervention and guidance.

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Construction and verification of a risk prediction model for cognitive frailty in older patients with chronic obstructive pulmonary disease and diabetes mellitus

Liang,

Li,

Feng

et al. 2024

J Int Med Res

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Construction and evaluation of nomogram for risk prediction of cognitive impairment in chronic obstructive pulmonary disease comorbidity

Yang,

Luo,

et al. 2024

Preprint

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Objectives Chronic Obstructive Pulmonary Disease (COPD) remains a serious public health problem globally, and the mortality rate for older COPD patients with cognitive impairment is almost three times that of older patients with cognitive impairment or COPD. The aim of this study was to construct a nomogram prediction model for the risk of comorbid cognitive impairment in COPD patients and to evaluate its clinical application. It helps to detect cognitive impairment in COPD patients at an early stage and give them effective interventions in time, so as to delay the progression of COPD patients and improve their prognosis. Methods In this study, COPD patients hospitalised at the North China University of Science and Technology Affiliated Hospitalwere evaluated by the Montreal cognitive assessment (MoCA) scale for cognitive function, and divided into a case group and a control group on the basis of whether or not they were combined with cognitive impairment. Based on the basic characteristics of the patients and the laboratory indexes in the first 24 hours of hospitalisation, we conducted statistical analyses, screened out the risk factors and established the Nomogram Prediction Model by using the R software, and finally, we evaluated the clinical value of the model through the calculation of ROC curves for sensitivity, specificity and kappa value. Finally, the sensitivity, specificity and Kappa value were calculated by ROC curve to evaluate the clinical value of the model. Results After statistical analysis, C-reactive protein (CRP) and homocysteine (Hcy) were found to be the risk factors for combined cognitive impairment in COPD patients, and the Nomogram prediction model was constructed by combining CRP and Hcy and plotted the ROC curve, and it was found that its model finally screened the critical value of the total score of 62.55, and the area under the ROC curve of the model was 0.870, and the sensitivity was 84.7%, and the specificity was 80.4%, indicating that it has a high degree of consistency with the actual results. The area under the ROC curve of this model was 0.870, the sensitivity was 84.7%, the specificity was 80.4%, and the calculated Kappa value was 0.575, which indicated that the consistency between the prediction results and the actual results was better, and it had a higher clinical application value. Conclusions CRP and Hcy are closely associated with comorbid cognitive impairment in COPD patients, and increased levels of CRP and Hcy are associated with an increased risk of comorbid cognitive impairment in COPD patients. Combining both CRP and Hcy to create a nomogram model for predicting comorbid cognitive impairment in patients with COPD has good predictive ability.

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Risk factors of cognitive frailty in elderly chronic obstructive pulmonary disease patients and its implication for death: a cohort study

Cited by 2 publications

References 36 publications

Construction and verification of a risk prediction model for cognitive frailty in older patients with chronic obstructive pulmonary disease and diabetes mellitus

Construction and verification of a risk prediction model for cognitive frailty in older patients with chronic obstructive pulmonary disease and diabetes mellitus

Construction and evaluation of nomogram for risk prediction of cognitive impairment in chronic obstructive pulmonary disease comorbidity

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