Copyright
©The Author(s) 2023.
World J Clin Cases. Apr 26, 2023; 11(12): 2716-2728
Published online Apr 26, 2023. doi: 10.12998/wjcc.v11.i12.2716
Published online Apr 26, 2023. doi: 10.12998/wjcc.v11.i12.2716
Variable | Classification | Overall (n = 153) | Common (n = 48) | Severe/critical (n = 105) | P value | |
Basic information and vital signs | Age, median (IQR) | 69 (66, 74) | 69.0 (66.0, 74.0) | 69.0 (66.0, 76.0) | 0.79 | |
Comorbidity | Sex, n (%) | Male | 78 (50.980) | 19 (39.583) | 59 (56.190) | 0.057 |
Female | 75 (49.020) | 29 (60.417) | 46 (43.810) | |||
Heart rate, median (IQR) | 90 (79, 102) | 87.0 (79.0, 98.0) | 91.0 (79.0, 104.0) | 0.329 | ||
Temperature, median (IQR) | 36.7 (36.3, 37.1) | 36.7 (36.4, 37.0) | 36.7 (36.3, 37.2) | 0.576 | ||
Body mass index, mean (SD) | 20.290 (9.929) | 20.789 (7.825) | 20.041 (10.819) | 0.715 | ||
Respiratory rate, median (IQR) | 21 (20, 24) | 20.0 (20.0, 22.0) | 22.0 (20.0, 25.0) | P < 0.001 | ||
Blood oxygen saturation, median (IQR) | 94 (90, 97) | 98.0 (96.0, 99.0) | 92.0 (85.0, 95.0) | P < 0.001 | ||
Coronary heart disease, n (%) | No | 126 (82.353) | 38 (79.167) | 88 (83.810) | 0.485 | |
Yes | 27 (17.647) | 10 (20.833) | 17 (16.190) | |||
Pulmonary disease, n (%) | No | 124 (81.046) | 37 (77.083) | 87 (82.857) | 0.398 | |
Yes | 29 (18.954) | 11 (22.917) | 18 (17.143) | |||
Diabetes, n (%) | No | 99 (64.706) | 30 (62.500) | 69 (65.714) | 0.699 | |
Yes | 54 (35.294) | 18 (37.500) | 36 (34.286) | |||
Laboratory tests | Platelet, mean (SD) | 225.125 (86.792) | 215.563 (73.367) | 229.538 (91.997) | 0.359 | |
Neutrophil, mean (SD) | 5.469 (3.729) | 3.821 (1.999) | 6.230 (4.080) | P < 0.001 | ||
Lymphocyte, mean (SD) | 0.929 (0.418) | 1.028 (0.373) | 0.883 (0.429) | 0.047 | ||
Hemoglobin, mean (SD) | 125.151 (17.785) | 117.958 (16.285) | 128.471 (17.464) | P < 0.001 | ||
Alanine aminotransferase, median (IQR) | 24 (15, 40) | 16.0 (11.0, 24.0) | 27.0 (19.0, 44.0) | P < 0.001 | ||
Aspartate aminotransferase, median (IQR) | 29 (21, 42) | 21.0 (17.0, 27.0) | 36.0 (26.0, 49.0) | P < 0.001 | ||
Albumin, median (IQR) | 32.6 (30.1, 35.5) | 35.1 (31.5, 38.2) | 31.9 (29.6, 34.4) | P < 0.001 | ||
Total bilirubin, median (IQR) | 10.0 (7.4, 14.2) | 9.5 (6.9, 12.5) | 10.7 (8.2, 14.6) | 0.066 | ||
Direct bilirubin, median (IQR) | 4.4 (3.3, 6.2) | 3.7 (3.1, 5.1) | 4.9 (3.6, 7.0) | 0.005 | ||
Lactate dehydrogenase, median (IQR) | 294 (239, 398) | 251.0 (224.0, 284.0) | 341.0 (266.0, 464.0) | P < 0.001 | ||
Urea, median (IQR) | 4.8 (3.6, 6.6) | 4.0 (3.2, 5.0) | 5.2 (4.0, 7.8) | 0.002 | ||
Creatinine, median (IQR) | 72 (59, 88) | 68.0 (59.0, 80.0) | 75.0 (59.0, 91.0) | 0.115 | ||
Prothrombin time, median (IQR) | 14.2 (13.6, 14.9) | 14.1 (13.5, 14.5) | 14.3 (13.8, 15.1) | 0.019 | ||
Activated partial thromboplastin time, median (IQR) | 40.0 (36.0, 44.5) | 38.9 (35.6, 42.9) | 40.6 (36.3, 45.4) | 0.035 | ||
Fibrinogen, mean (SD) | 5.208 (1.495) | 4.640 (1.236) | 5.468 (1.531) | 0.001 | ||
D-Dimer, mean (SD) | 3.394 (5.451) | 1.827 (3.304) | 4.125 (6.065) | 0.003 | ||
C-Response Protein, mean (SD) | 61.199 (66.732) | 24.943 (30.023) | 77.583 (72.082) | P < 0.001 | ||
calcitoninogen, mean (SD) | 0.483 (3.484) | 0.047 (0.053) | 0.678 (4.177) | 0.305 | ||
Ferritin, mean (SD) | 956.507 (874.540) | 486.000 (328.994) | 1170.374 (957.550) | P < 0.001 | ||
Cytokines | IL-1, mean (SD) | 3.639 (5.076) | 2.853 (1.351) | 3.996 (6.019) | 0.213 | |
IL-2R, mean (SD) | 895.375 (630.955) | 621.844 (321.241) | 1019.707 (694.756) | P < 0.001 | ||
IL-6, mean (SD) | 48.628 (88.255) | 13.359 (15.597) | 64.691 (101.986) | P < 0.001 | ||
IL-10, mean (SD) | 6.464 (8.108) | 3.907 (5.734) | 7.626 (8.738) | 0.003 | ||
IL-8, mean (SD) | 22.083 (22.814) | 13.900 (15.389) | 25.802 (24.600) | 0.004 | ||
TNF, mean (SD) | 10.424 (8.969) | 9.158 (13.597) | 11.000 (5.649) | 0.256 | ||
Scores | IL6/IL10, mean (SD) | 9.051 (15.654) | 3.848 (3.570) | 11.417 (18.241) | P < 0.001 | |
CURB65, median (IQR) | 1 (1, 2) | 1.0 (1.0, 1.0) | 1.0 (1.0, 2.0) | 0.035 | ||
qSOFA, median (IQR) | 1 (0, 1) | 0.0 (0.0, 1.0) | 1.0 (0.0, 1.0) | P < 0.001 |
- Citation: Li QY, An ZY, Pan ZH, Wang ZZ, Wang YR, Zhang XG, Shen N. Severe/critical COVID-19 early warning system based on machine learning algorithms using novel imaging scores. World J Clin Cases 2023; 11(12): 2716-2728
- URL: https://www.wjgnet.com/2307-8960/full/v11/i12/2716.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i12.2716