Preoperative Body Weight and Albumin Predict Survival in Patients With Resectable Lung Neoplasms: Role of COPD

Tang, Jun; Curull, Víctor; Ramis-Cabrer, Daniel; Durán, Xavier; Rodríguez-Fuster, Alberto; Aguiló, Rafael; Barreiro, Esther

doi:10.1016/j.arbr.2020.07.016

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Serum albumin is one of the important indices reflecting the visceral protein in the body, and also an important index for the body's nutritional status. It is reported [12] that hypoalbuminemia is more common in COPD, which reduces the ability of the urethral mucosa and respiratory tract to synthesize secretory IgA, and increases the risk of fungal infection [13]. Repeated infection frequently occurs in the respiratory tract of COPD patients, so antibiotics are often used repeatedly to control the disease.…”

Section: Discussionmentioning

confidence: 99%

Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD

Han

Meng²

2023

J Infect Dev Ctries

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Introduction: We aimed to investigate the risk factors for secondary lower respiratory tract fungal infection during acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methodology: A total of 466 AECOPD patients diagnosed from March 2019 to November 2020 were divided into infection (n = 48) and non-infection (n = 418) groups. The risk factors for lower respiratory tract fungal infection were screened by logistic regression analysis, and a nomogram prediction model was established. The discriminability was validated by area under the receiver operating characteristic curve (AUC) and C-index, calibration was validated by GiViTI calibration belt and Hosmer-Lemeshow test, and clinical validity was assessed by decision curve analysis (DCA) curve. Results: Thirty fungi strains were detected, including 18 strains of Candida albicans. Pulmonary heart disease, hypoalbuminemia, use of antibiotics within 3 months before admission, use time of antibiotics ≥ 14 d, invasive operation, blood glucose ≥ 11.10 mmol/L at admission, and procalcitonin (PCT) ≥ 0.5 ng/mL when diagnosed as fungal infection independent risk factors (p < 0.05). AUC was 0.891, indicating high discriminability of the model. The threshold probability in the DCA curve was set to 31.3%, suggesting that the model had clinical validity. Conclusions: We identified the independent risk factors for lower respiratory tract fungal infection in AECOPD patients. The established model has high discriminability and calibration. Immediate intervention is beneficial when the predicted risk exceeds 31.3%.

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Section: Discussionmentioning

confidence: 99%

Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD

Han

Meng²

2023

J Infect Dev Ctries

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“…Albumin and GLB could be used to evaluate the severity of disease and predict the risk for death in elderly patients with COPD ( Qin et al, 2018 ). Low albumin level was associated with poor 10-year survival in COPD patients ( Tang et al, 2021 ). There was an independent correlation between albumin and the severity of illness in patients with COPD ( Li et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Prediction of individual mortality risk among patients with chronic obstructive pulmonary disease: a convenient, online, individualized, predictive mortality risk tool based on a retrospective cohort study

Zhou

Huang

et al. 2022

PeerJ

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Background Chronic obstructive pulmonary disease (COPD) is a serious condition with a poor prognosis. No clinical study has reported an individual-level mortality risk curve for patients with COPD. As such, the present study aimed to construct a prognostic model for predicting individual mortality risk among patients with COPD, and to provide an online predictive tool to more easily predict individual mortality risk in this patient population. Patients and methods The current study retrospectively included data from 1,255 patients with COPD. Random survival forest plots and Cox proportional hazards regression were used to screen for independent risk factors in patients with COPD. A prognostic model for predicting mortality risk was constructed using eight risk factors. Results Cox proportional hazards regression analysis identified eight independent risk factors among COPD patients: B-type natriuretic peptide (hazard ratio [HR] 1.248 [95% confidence interval (CI) 1.155–1.348]); albumin (HR 0.952 [95% CI 0.931–0.974); age (HR 1.033 [95% CI 1.022–1.044]); globulin (HR 1.057 [95% CI 1.038–1.077]); smoking years (HR 1.011 [95% CI 1.006–1.015]); partial pressure of arterial carbon dioxide (HR 1.012 [95% CI 1.007–1.017]); granulocyte ratio (HR 1.018 [95% CI 1.010–1.026]); and blood urea nitrogen (HR 1.041 [95% CI 1.017–1.066]). A prognostic model for predicting risk for death was constructed using these eight risk factors. The areas under the time-dependent receiver operating characteristic curves for 1, 3, and 5 years were 0.784, 0.801, and 0.806 in the model cohort, respectively. Furthermore, an online predictive tool, the “Survival Curve Prediction System for COPD patients”, was developed, providing an individual mortality risk predictive curve, and predicted mortality rate and 95% CI at a specific time. Conclusion The current study constructed a prognostic model for predicting an individual mortality risk curve for COPD patients after discharge and provides a convenient online predictive tool for this patient population. This predictive tool may provide valuable prognostic information for clinical treatment decision making during hospitalization and health management after discharge (https://zhangzhiqiao15.shinyapps.io/Smart_survival_predictive_system_for_COPD/).

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Biomarcadores biológicos en las enfermedades respiratorias

García‐Río

Alcázar

Castillo

et al. 2022

Archivos de Bronconeumología

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Preoperative Body Weight and Albumin Predict Survival in Patients With Resectable Lung Neoplasms: Role of COPD

Cited by 4 publications

References 36 publications

Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD

Prediction of risk for secondary lower respiratory tract fungal infection during the acute exacerbation phase of COPD

Prediction of individual mortality risk among patients with chronic obstructive pulmonary disease: a convenient, online, individualized, predictive mortality risk tool based on a retrospective cohort study

Biomarcadores biológicos en las enfermedades respiratorias

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