| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T477 |
0-251 |
Sentence |
denotes |
To generate a plasma metabolite panel for differentiating COVID-19 patients from healthy individuals, variables with p < 0.05 between healthy controls and COVIDP19 patients after adjustment for age, sex and BMI were sieved out to form a starting pool. |
| T478 |
252-473 |
Sentence |
denotes |
From this pool, a starting variable with lowest p value was added to Set 1, and remaining variables from the starting pool significantly correlated (p < 0.05) with this starting variable were added together to form Set 1. |
| T479 |
474-646 |
Sentence |
denotes |
The process then was repeated in an iterative process using starting variable with the second lowest p value, and so on, finally generating a total of ten established sets. |
| T480 |
647-801 |
Sentence |
denotes |
Representative metabolite from each established set was chosen based on (1) smallest p value and (2) reported biological function through a PubMed search. |
| T481 |
802-1089 |
Sentence |
denotes |
The selection process finally created a panel of ten plasma metabolites, and its performance was evaluated in a logistic regression model with leave-one-out (LOO) cross-validation, which distinguished between COVID-19 patients and healthy controls with an area under curve (AUC) = 0.955. |
