PubMed:32913691
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T1 | 590-597 | Body_part | denotes | protein | http://purl.org/sig/ont/fma/fma67257 |
T2 | 1756-1765 | Body_part | denotes | leukocyte | http://purl.org/sig/ont/fma/fma62852 |
T3 | 1783-1793 | Body_part | denotes | neutrophil | http://purl.org/sig/ont/fma/fma62860 |
T4 | 1812-1822 | Body_part | denotes | lymphocyte | http://purl.org/sig/ont/fma/fma62863 |
T5 | 1856-1861 | Body_part | denotes | serum | http://purl.org/sig/ont/fma/fma63083 |
T6 | 2124-2133 | Body_part | denotes | monocytes | http://purl.org/sig/ont/fma/fma62864 |
T7 | 2220-2225 | Body_part | denotes | serum | http://purl.org/sig/ont/fma/fma63083 |
T8 | 2485-2494 | Body_part | denotes | platelets | http://purl.org/sig/ont/fma/fma62851 |
T9 | 2512-2522 | Body_part | denotes | neutrophil | http://purl.org/sig/ont/fma/fma62860 |
T10 | 2547-2557 | Body_part | denotes | lymphocyte | http://purl.org/sig/ont/fma/fma62863 |
T11 | 2808-2818 | Body_part | denotes | hemoglobin | http://purl.org/sig/ont/fma/fma62293 |
T12 | 2845-2849 | Body_part | denotes | cell | http://purl.org/sig/ont/fma/fma68646 |
T13 | 2898-2907 | Body_part | denotes | leukocyte | http://purl.org/sig/ont/fma/fma62852 |
LitCovid-PD-UBERON
Id | Subject | Object | Predicate | Lexical cue | uberon_id |
---|---|---|---|---|---|
T1 | 1856-1861 | Body_part | denotes | serum | http://purl.obolibrary.org/obo/UBERON_0001977 |
T2 | 2220-2225 | Body_part | denotes | serum | http://purl.obolibrary.org/obo/UBERON_0001977 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T1 | 68-76 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T2 | 183-230 | Disease | denotes | severe acute respiratory syndrome coronavirus 2 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T3 | 183-216 | Disease | denotes | severe acute respiratory syndrome | http://purl.obolibrary.org/obo/MONDO_0005091 |
T4 | 232-240 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
T5 | 659-662 | Disease | denotes | PCT | http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104 |
T7 | 869-877 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T8 | 1702-1710 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T9 | 2087-2102 | Disease | denotes | lymphocytopenia | http://purl.obolibrary.org/obo/MONDO_0003783 |
T10 | 3072-3075 | Disease | denotes | PCT | http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104 |
T12 | 3220-3223 | Disease | denotes | PCT | http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104 |
T14 | 3338-3346 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T15 | 3467-3470 | Disease | denotes | PCT | http://purl.obolibrary.org/obo/MONDO_0008296|http://purl.obolibrary.org/obo/MONDO_0015104 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 78-79 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
T2 | 119-120 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T3 | 156-166 | http://purl.obolibrary.org/obo/BFO_0000030 | denotes | objectives |
T4 | 274-275 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T5 | 356-368 | http://purl.obolibrary.org/obo/OBI_0000245 | denotes | Organization |
T6 | 393-394 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T7 | 793-794 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T8 | 1107-1108 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
T9 | 1289-1291 | http://purl.obolibrary.org/obo/CLO_0009877 | denotes | NY |
T10 | 1529-1535 | http://purl.obolibrary.org/obo/UBERON_0003100 | denotes | female |
T11 | 1572-1576 | http://purl.obolibrary.org/obo/UBERON_0003101 | denotes | male |
T12 | 1572-1576 | http://www.ebi.ac.uk/efo/EFO_0000970 | denotes | male |
T13 | 2124-2133 | http://purl.obolibrary.org/obo/CL_0000576 | denotes | monocytes |
T14 | 2710-2711 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T15 | 2800-2801 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T16 | 2845-2849 | http://purl.obolibrary.org/obo/GO_0005623 | denotes | cell |
T17 | 3384-3385 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T1 | 561-570 | Chemical | denotes | biomarker | http://purl.obolibrary.org/obo/CHEBI_59163 |
T2 | 590-597 | Chemical | denotes | protein | http://purl.obolibrary.org/obo/CHEBI_36080 |
T3 | 615-622 | Chemical | denotes | lactate | http://purl.obolibrary.org/obo/CHEBI_24996 |
T4 | 1289-1291 | Chemical | denotes | NY | http://purl.obolibrary.org/obo/CHEBI_73427 |
T5 | 1572-1576 | Chemical | denotes | male | http://purl.obolibrary.org/obo/CHEBI_30780 |
T6 | 1641-1646 | Chemical | denotes | group | http://purl.obolibrary.org/obo/CHEBI_24433 |
T7 | 1840-1844 | Chemical | denotes | urea | http://purl.obolibrary.org/obo/CHEBI_16199 |
T8 | 2154-2158 | Chemical | denotes | urea | http://purl.obolibrary.org/obo/CHEBI_16199 |
T9 | 2163-2173 | Chemical | denotes | creatinine | http://purl.obolibrary.org/obo/CHEBI_16737 |
T10 | 2587-2597 | Chemical | denotes | creatinine | http://purl.obolibrary.org/obo/CHEBI_16737 |
T11 | 2616-2622 | Chemical | denotes | sodium | http://purl.obolibrary.org/obo/CHEBI_26708 |
T12 | 2808-2818 | Chemical | denotes | hemoglobin | http://purl.obolibrary.org/obo/CHEBI_35143 |
T13 | 2935-2939 | Chemical | denotes | urea | http://purl.obolibrary.org/obo/CHEBI_16199 |
T14 | 2944-2954 | Chemical | denotes | creatinine | http://purl.obolibrary.org/obo/CHEBI_16737 |
LitCovid-PD-HP
Id | Subject | Object | Predicate | Lexical cue | hp_id |
---|---|---|---|---|---|
T1 | 2039-2051 | Phenotype | denotes | leukocytosis | http://purl.obolibrary.org/obo/HP_0001974 |
T2 | 2063-2075 | Phenotype | denotes | neutrophilia | http://purl.obolibrary.org/obo/HP_0011897 |
T3 | 2087-2102 | Phenotype | denotes | lymphocytopenia | http://purl.obolibrary.org/obo/HP_0001888 |
T4 | 2185-2198 | Phenotype | denotes | hypernatremia | http://purl.obolibrary.org/obo/HP_0003228 |
T5 | 2256-2268 | Phenotype | denotes | elevated CRP | http://purl.obolibrary.org/obo/HP_0011227 |
T6 | 2966-2979 | Phenotype | denotes | hypernatremia | http://purl.obolibrary.org/obo/HP_0003228 |
T7 | 3024-3040 | Phenotype | denotes | elevated D-dimer | http://purl.obolibrary.org/obo/HP_0033106 |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
1 | 68-76 | Disease | denotes | COVID-19 | MESH:C000657245 |
45 | 167-177 | Disease | denotes | Infections | MESH:D007239 |
46 | 183-230 | Species | denotes | severe acute respiratory syndrome coronavirus 2 | Tax:2697049 |
47 | 232-242 | Species | denotes | SARS-CoV-2 | Tax:2697049 |
48 | 308-314 | Species | denotes | people | Tax:9606 |
49 | 482-501 | Disease | denotes | coronavirus disease | MESH:D018352 |
50 | 579-597 | Gene | denotes | C-reactive protein | Gene:1401 |
51 | 599-602 | Gene | denotes | CRP | Gene:1401 |
52 | 869-877 | Disease | denotes | COVID-19 | MESH:C000657245 |
53 | 887-895 | Species | denotes | patients | Tax:9606 |
54 | 975-982 | Species | denotes | patient | Tax:9606 |
55 | 1050-1058 | Species | denotes | patients | Tax:9606 |
56 | 1320-1328 | Species | denotes | patients | Tax:9606 |
57 | 1416-1424 | Species | denotes | patients | Tax:9606 |
58 | 1450-1458 | Species | denotes | patients | Tax:9606 |
59 | 1459-1463 | Disease | denotes | died | MESH:D003643 |
60 | 1536-1544 | Species | denotes | patients | Tax:9606 |
61 | 1577-1585 | Species | denotes | patients | Tax:9606 |
62 | 1702-1710 | Disease | denotes | COVID-19 | MESH:C000657245 |
63 | 1840-1844 | Chemical | denotes | urea | MESH:D014508 |
64 | 1862-1873 | Chemical | denotes | bicarbonate | MESH:D001639 |
65 | 1885-1888 | Gene | denotes | CRP | Gene:1401 |
66 | 2011-2019 | Species | denotes | patients | Tax:9606 |
67 | 2039-2051 | Disease | denotes | leukocytosis | MESH:D007964 |
68 | 2063-2075 | Disease | denotes | neutrophilia | MESH:C563010 |
69 | 2087-2102 | Disease | denotes | lymphocytopenia | MESH:D008231 |
70 | 2154-2158 | Chemical | denotes | urea | MESH:D014508 |
71 | 2163-2173 | Chemical | denotes | creatinine | MESH:D003404 |
72 | 2185-2198 | Disease | denotes | hypernatremia | MESH:D006955 |
73 | 2265-2268 | Gene | denotes | CRP | Gene:1401 |
74 | 2364-2372 | Species | denotes | patients | Tax:9606 |
75 | 2587-2597 | Chemical | denotes | creatinine | MESH:D003404 |
76 | 2616-2622 | Chemical | denotes | sodium | MESH:D012964 |
77 | 2644-2655 | Chemical | denotes | bicarbonate | MESH:D001639 |
78 | 2684-2687 | Gene | denotes | CRP | Gene:1401 |
79 | 2781-2789 | Species | denotes | patients | Tax:9606 |
80 | 2935-2939 | Chemical | denotes | urea | MESH:D014508 |
81 | 2944-2954 | Chemical | denotes | creatinine | MESH:D003404 |
82 | 2966-2979 | Disease | denotes | hypernatremia | MESH:D006955 |
83 | 3001-3012 | Chemical | denotes | bicarbonate | MESH:D001639 |
84 | 3291-3294 | Gene | denotes | CRP | Gene:1401 |
85 | 3338-3346 | Disease | denotes | COVID-19 | MESH:C000657245 |
86 | 3414-3423 | Disease | denotes | mortality | MESH:D003643 |
87 | 3481-3484 | Gene | denotes | CRP | Gene:1401 |
Inflammaging
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. |
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. |
LitCovid_AGAC_only
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
p165118s18 | 2114-2123 | NegReg | denotes | decreased |
p165118s19 | 2124-2133 | CPA | denotes | monocytes |
p165118s28 | 2145-2153 | PosReg | denotes | elevated |
p165118s29 | 2154-2158 | MPA | denotes | urea |
p165118s40 | 2185-2198 | Disease | denotes | hypernatremia |
p165118s49 | 2210-2219 | NegReg | denotes | decreased |
p165118s50 | 2220-2244 | MPA | denotes | serum bicarbonate levels |
p165118s62 | 2265-2274 | MPA | denotes | CRP level |
p165118s72 | 2286-2289 | MPA | denotes | LDH |
p165120s1 | 2644-2662 | MPA | denotes | bicarbonate levels |
p165120s11 | 2674-2683 | NegReg | denotes | decreased |
p165120s12 | 2684-2694 | MPA | denotes | CRP levels |
p165120s25 | 2718-2721 | MPA | denotes | LDH |
p165121s13 | 2802-2807 | NegReg | denotes | lower |
p165121s14 | 2808-2818 | MPA | denotes | hemoglobin |
p165121s23 | 2830-2839 | PosReg | denotes | increased |
p165121s36 | 2882-2891 | PosReg | denotes | increased |
p165121s37 | 2892-2907 | MPA | denotes | total leukocyte |
p165121s39 | 2908-2913 | CPA | denotes | count |
p165121s48 | 2925-2934 | PosReg | denotes | increased |
p165121s49 | 2935-2954 | MPA | denotes | urea and creatinine |
p165121s60 | 2966-2979 | Disease | denotes | hypernatremia |
p165121s69 | 2991-3000 | PosReg | denotes | increased |
p165121s70 | 3001-3012 | MPA | denotes | bicarbonate |
p165121s79 | 3024-3032 | PosReg | denotes | elevated |
p165121s80 | 3033-3047 | MPA | denotes | D-dimer levels |
p165121s93 | 3063-3071 | PosReg | denotes | elevated |
p165121s94 | 3072-3075 | MPA | denotes | PCT |
LitCovid-sentences
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. |