| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T1 |
0-77 |
Sentence |
denotes |
Poor Prognostic Biochemical Markers Predicting Fatalities Caused by COVID-19: |
| T2 |
78-140 |
Sentence |
denotes |
A Retrospective Observational Study From a Developing Country. |
| T3 |
141-404 |
Sentence |
denotes |
Background and objectives Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are rapidly spreading, posing a serious threat to the health of people worldwide, resulting in the World Health Organization officially declaring it a pandemic. |
| T4 |
405-502 |
Sentence |
denotes |
There are several biochemical markers linked with predicting the severity of coronavirus disease. |
| T5 |
503-742 |
Sentence |
denotes |
This study aims to identify the most effective predictive biomarker such as C-reactive protein (CRP), ferritin, lactate dehydrogenase (LDH), procalcitonin (PCT), and D-dimer, among others, in predicting the clinical outcome of the disease. |
| T6 |
743-901 |
Sentence |
denotes |
Materials and methods This study was conducted as a retrospective, observational, multi-centric study, including all admitted COVID-19 positive patients only. |
| T7 |
902-1007 |
Sentence |
denotes |
The disease outcome was followed along with the hospital course of every patient at the time of analysis. |
| T8 |
1008-1106 |
Sentence |
denotes |
Baseline laboratory investigations of all patients were monitored both at admission and discharge. |
| T9 |
1107-1195 |
Sentence |
denotes |
A comparative analysis was done between the survivors (n=263) and non-survivors (n=101). |
| T10 |
1196-1304 |
Sentence |
denotes |
Statistical analysis was conducted using IBM SPSS Statistics for Windows Version 25 (Armonk, NY: IBM Corp.). |
| T11 |
1305-1464 |
Sentence |
denotes |
Results Of 364 patients, 65.7% were in the isolation ward, and 34.3% were in the intensive care unit; 72.3% of patients survived, while 27.7% of patients died. |
| T12 |
1465-1657 |
Sentence |
denotes |
The mean age of the study population was 52.6 ± 15.8 years with female patients significantly younger than male patients (p=0.001) and 50 to 75 years being the most common age group (p=0.121). |
| T13 |
1658-1957 |
Sentence |
denotes |
Among the survivors versus non-survivors of COVID-19, there were significant differences in total leukocyte count (p<0.001), neutrophil count, (p<0.001), lymphocyte count (p<0.001), urea (p<0.001), serum bicarbonate (p=0.001), CRP levels (p<0.001), LDH (p=0.013), and D-dimer (p<0.001) at admission. |
| T14 |
1958-2343 |
Sentence |
denotes |
At discharge, the laboratory values of non-surviving patients showed significant leukocytosis (p<0.001), neutrophilia (p<0.001), lymphocytopenia (p<0.001), decreased monocytes (p<0.001), elevated urea and creatinine (p<0.001), hypernatremia (p<0.001), decreased serum bicarbonate levels (p<0.001), elevated CRP level (p=0.040), LDH (p<0.001), ferritin (p=0.001), and D-dimer (p<0.001). |
| T15 |
2344-2732 |
Sentence |
denotes |
Among the recovered patients, the laboratory investigations at admission were significantly different from those at discharge like increased platelets (p=0.007), lower neutrophil count (p=0.001), higher lymphocyte count (p=0.005), an improved creatinine (p=0.020), higher sodium (p=0.008), increased bicarbonate levels (p<0.001), decreased CRP levels (p<0.001), and a lower LDH (p=0.039). |
| T16 |
2733-3099 |
Sentence |
denotes |
However, the laboratory values of non-surviving patients had shown a lower hemoglobin (p=0.016), increased mean cell volume (p<0.001), significantly increased total leukocyte count (p<0.001), increased urea and creatinine (p<0.001), hypernatremia (p<0.001), increased bicarbonate (p=0.025), elevated D-dimer levels (p=0.043), and elevated PCT (p=0.021) on discharge. |
| T17 |
3100-3185 |
Sentence |
denotes |
Receiver operating characteristic analysis concluded LDH (area under the curve [AUC]: |
| T18 |
3186-3207 |
Sentence |
denotes |
0.875), D-dimer (AUC: |
| T19 |
3208-3229 |
Sentence |
denotes |
0.803), and PCT (AUC: |
| T20 |
3230-3279 |
Sentence |
denotes |
0.769) were superior biomarkers to ferritin (AUC: |
| T21 |
3280-3300 |
Sentence |
denotes |
0.714) and CRP (AUC: |
| T22 |
3301-3347 |
Sentence |
denotes |
0.711) in predicting the fatality of COVID-19. |
| T23 |
3348-3525 |
Sentence |
denotes |
Conclusion Inflammatory markers are a useful guide for predicting mortality, and the study results concluded that LDH, PCT, D-dimer, CRP, and ferritin were effective biomarkers. |
