| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T965 |
0-13 |
Sentence |
denotes |
6 PREDICTION |
| T966 |
14-205 |
Sentence |
denotes |
Recent studies focused on prognosis of COVID‐19 concluded that the load of SARS‐CoV‐2 RNA in blood (RNAemia) is correlated with Cytokine Release Storm (CRS) and poor prognosis of the disease. |
| T967 |
206-386 |
Sentence |
denotes |
In one particular study, scientists used Generalized Linear Models to generate a prediction model for natural history of disease based on the C t value of real‐time RT‐PCR results. |
| T968 |
387-530 |
Sentence |
denotes |
They reported that traceable amounts of SARS‐CoV‐2 RNA was detected in blood plasma of 15% of COVID‐19 positive patients enrolled at the study. |
| T969 |
531-714 |
Sentence |
denotes |
Their findings drew a direct link between serum markers and disease severity, as RNAemia and high levels of IL‐6 (nearly 10‐fold) were exclusively reported in critically ill patients. |
| T970 |
715-856 |
Sentence |
denotes |
Interestingly, there was also an association between the extremely high levels of IL‐6 with the incidence of RNAemia (R = 0.902) in patients. |
| T971 |
857-978 |
Sentence |
denotes |
Findings also suggested that vital signs of patients were also affected by high levels of both serum markers (R = 0.682). |
| T972 |
979-1147 |
Sentence |
denotes |
According to this study, IL‐6 might be of clinical value in identification and treatment of patients with an excessive inflammatory response (Chen, Zhao, et al., 2020). |
| T973 |
1148-1321 |
Sentence |
denotes |
Table 3 (Chen, Zhao, et al., 2020; Yan et al., 2020) and Table 4 represent 2020 studies on prognosis of COVID‐19 infected patients and related clinical trials, respectively. |
