AUTHOR=He Xianghua , Feng Jiaming , Cong Xue , Huang Hongyan , Zhao Quanzhen , Shen Qiuyan , Xu Fang , Xu Yanming 

TITLE=A Prediction Model for Peak Expiratory Flow Derived From Venous Blood Biomarkers and Clinical Factors in Amyotrophic Lateral Sclerosis

JOURNAL=Frontiers in Public Health

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.899027

DOI=10.3389/fpubh.2022.899027

ISSN=2296-2565

ABSTRACT=Although peripheral venous blood biomarkers related to respiratory function in Amyotrophic lateral sclerosis (ALS) patients, there are still few prediction models that predict pulmonary function. This study was aimed to investigate the venous blood biomarkers associated with respiratory function in ALS patients from southwest China and to create prediction models based on those clinical biomarkers using logistic regression. A total of 319 ALS patients from retrospective cohort and 97 ALS patients from prospective cohort were enrolled in this study. 
A multivariable prediction model for the correlation between PEF and hematologic, biochemical laboratory parameters and clinical factors in ALS patients was created. Along with female patients, bulbar-onset, lower BMI, later age of onset, lower level of creatinine, uric acid, triglyceride, and higher level of high-density lipoprotein cholesterol (HDL_C) were related to reduced PEF. The area under the ROC curve is 0.802 for the test set and 0.775 for the validation set. The study constructed a multivariable prediction model for PEF in ALS patients. The results can be helpful for clinical practice to predict respiratory impairment.