Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing
ObjectivesThis study aims to create and validate a useful score system predicting the hyper-inflammatory conditions of COVID-19, by comparing it with the modified H-score.MethodsA total of 98 patients with pneumonia (without oxygen therapy) who received initial administration of casirivimab/imdevima...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.935255/full |
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| author | Yuichiro Takeshita Jiro Terada Jiro Terada Yasutaka Hirasawa Taku Kinoshita Hiroshi Tajima Ken Koshikawa Ken Koshikawa Toru Kinouchi Toru Kinouchi Yuri Isaka Yuri Isaka Yu Shionoya Atsushi Fujikawa Yasuyuki Kato Yasuo To Yuji Tada Kenji Tsushima |
| author_facet | Yuichiro Takeshita Jiro Terada Jiro Terada Yasutaka Hirasawa Taku Kinoshita Hiroshi Tajima Ken Koshikawa Ken Koshikawa Toru Kinouchi Toru Kinouchi Yuri Isaka Yuri Isaka Yu Shionoya Atsushi Fujikawa Yasuyuki Kato Yasuo To Yuji Tada Kenji Tsushima |
| author_sort | Yuichiro Takeshita |
| collection | DOAJ |
| description | ObjectivesThis study aims to create and validate a useful score system predicting the hyper-inflammatory conditions of COVID-19, by comparing it with the modified H-score.MethodsA total of 98 patients with pneumonia (without oxygen therapy) who received initial administration of casirivimab/imdevimab or remdesivir were included in the study. The enrolled patients were divided into two groups: patients who required corticosteroid due to deterioration of pneumonia, assessed by chest X-ray or CT or respiratory failure, and those who did not, and clinical parameters were compared.ResultsSignificant differences were detected in respiratory rate, breaths/min, SpO2, body temperature, AST, LDH, ferritin, and IFN-λ3 between the two groups. Based on the data, we created a corticosteroid requirement score: (1) the duration of symptom onset to treatment initiation ≥ 7 d, (2) the respiratory rate ≥ 22 breaths/min, (3) the SpO2 ≤ 95%, (4) BT ≥ 38.5°C, (5) AST levels ≥ 40 U/L, (6) LDH levels ≥ 340 U/L, (7) ferritin levels ≥ 800 ng/mL, and (8) IFN-λ3 levels ≥ 20 pg/mL. These were set as parameters of the steroid predicting score. Results showed that the area under the curve (AUC) of the steroid predicting score (AUC: 0.792, 95%CI: 0.698–0.886) was significantly higher than that of the modified H-score (AUC: 0.633, 95%CI: 0.502–0.764).ConclusionThe steroid predicting score may be useful to predict the requirement of corticosteroid therapy in patients with COVID-19. The data may provide important information to facilitate a prospective study on a larger scale in this field. |
| first_indexed | 2024-12-10T21:39:33Z |
| format | Article |
| id | doaj.art-2a5166c75ecf453bac8a42ead54df28f |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-10T21:39:33Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-2a5166c75ecf453bac8a42ead54df28f2022-12-22T01:32:32ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-08-01910.3389/fmed.2022.935255935255Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timingYuichiro Takeshita0Jiro Terada1Jiro Terada2Yasutaka Hirasawa3Taku Kinoshita4Hiroshi Tajima5Ken Koshikawa6Ken Koshikawa7Toru Kinouchi8Toru Kinouchi9Yuri Isaka10Yuri Isaka11Yu Shionoya12Atsushi Fujikawa13Yasuyuki Kato14Yasuo To15Yuji Tada16Kenji Tsushima17Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Respirology, Graduate School of Medicine, Chiba University, Chiba, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Infectious Disease, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanDepartment of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, JapanObjectivesThis study aims to create and validate a useful score system predicting the hyper-inflammatory conditions of COVID-19, by comparing it with the modified H-score.MethodsA total of 98 patients with pneumonia (without oxygen therapy) who received initial administration of casirivimab/imdevimab or remdesivir were included in the study. The enrolled patients were divided into two groups: patients who required corticosteroid due to deterioration of pneumonia, assessed by chest X-ray or CT or respiratory failure, and those who did not, and clinical parameters were compared.ResultsSignificant differences were detected in respiratory rate, breaths/min, SpO2, body temperature, AST, LDH, ferritin, and IFN-λ3 between the two groups. Based on the data, we created a corticosteroid requirement score: (1) the duration of symptom onset to treatment initiation ≥ 7 d, (2) the respiratory rate ≥ 22 breaths/min, (3) the SpO2 ≤ 95%, (4) BT ≥ 38.5°C, (5) AST levels ≥ 40 U/L, (6) LDH levels ≥ 340 U/L, (7) ferritin levels ≥ 800 ng/mL, and (8) IFN-λ3 levels ≥ 20 pg/mL. These were set as parameters of the steroid predicting score. Results showed that the area under the curve (AUC) of the steroid predicting score (AUC: 0.792, 95%CI: 0.698–0.886) was significantly higher than that of the modified H-score (AUC: 0.633, 95%CI: 0.502–0.764).ConclusionThe steroid predicting score may be useful to predict the requirement of corticosteroid therapy in patients with COVID-19. The data may provide important information to facilitate a prospective study on a larger scale in this field.https://www.frontiersin.org/articles/10.3389/fmed.2022.935255/fullCOVID-19cytokine stormhyper-inflammationpredicting scorecorticosteroid |
| spellingShingle | Yuichiro Takeshita Jiro Terada Jiro Terada Yasutaka Hirasawa Taku Kinoshita Hiroshi Tajima Ken Koshikawa Ken Koshikawa Toru Kinouchi Toru Kinouchi Yuri Isaka Yuri Isaka Yu Shionoya Atsushi Fujikawa Yasuyuki Kato Yasuo To Yuji Tada Kenji Tsushima Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing Frontiers in Medicine COVID-19 cytokine storm hyper-inflammation predicting score corticosteroid |
| title | Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing |
| title_full | Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing |
| title_fullStr | Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing |
| title_full_unstemmed | Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing |
| title_short | Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing |
| title_sort | development of a novel score model to predict hyperinflammation in covid 19 as a forecast of optimal steroid administration timing |
| topic | COVID-19 cytokine storm hyper-inflammation predicting score corticosteroid |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.935255/full |
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