Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave
ObjectiveInflammatory indices are pivotal markers in gaging the harm of the COVID-19 trajectory. The definitive impact of inflammatory indices on forecasting the period required for a negative shift in nucleic acid status during the Omicron wave remains ambiguous. This research endeavors to delineat...
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Frontiers Media S.A.
2025-05-01
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2024.1474236/full |
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| author | Yuyan Fan Ning Yang Ning Yang Jialu Zhuo Jialu Zhuo Ting Han Ting Han |
| author_facet | Yuyan Fan Ning Yang Ning Yang Jialu Zhuo Jialu Zhuo Ting Han Ting Han |
| author_sort | Yuyan Fan |
| collection | DOAJ |
| description | ObjectiveInflammatory indices are pivotal markers in gaging the harm of the COVID-19 trajectory. The definitive impact of inflammatory indices on forecasting the period required for a negative shift in nucleic acid status during the Omicron wave remains ambiguous. This research endeavors to delineate the relationship between the Systemic Inflammatory Index (SII) and the timeline for conversion to negative nucleic acid status in Omicron variant-infected patients, and to scrutinize the prognostic validity of SII for such conversion.MethodsAdult patients hospitalized at the Shanghai Public Health Clinical Center with mild cases attributed to the Omicron variant were studied from March to December 2022. They were stratified into early-conversion (with mild cases attributed to (>10 days) groups). Analyzing patient information, clinical traits, and laboratory results, we divided patients into two groups. We used logistic regression to find the link between SII and virus test timing and built ROC curves to measure predictive value via AUC.ResultsA total of 2,603 patients were enrolled. Univariate analysis found big differences in pulse rates, respiratory rates, prealbumin levels, HS-CRP levels, IL-6 levels, SII, and PNI (p < 0.05) between the groups. Adjusting for confounders, logistic regression revealed that the highest SII group had a 1.46 greater risk of not clearing a 10-day PCR test than the lowest group (OR = 1.46; 95% CI, 1.173–1.817, p = 0.001). Each one-unit rise in SII raised the risk of 10-day PCR failure by 0.1% (p < 0.0001). The ROC curve showed SII’s AUC as 0.603 (95% CI: 0.576–0.630), predicting virus test turn-around with a cut-off of 920.5, 61.9% specificity, and 52.5% sensitivity. Compared to other indicators such as IL-6 and HS-CRP, SII exhibited the highest AUC value and specificity.ConclusionIn mild cases caused by the Omicron wave, there was a discernible link between the SII and the period leading to a negative nucleic acid test outcome, with higher SII values indicating an increased risk of prolonged conversion time. SII might help guide treatment better than other indicators by predicting disease course. |
| format | Article |
| id | doaj-art-a86d840f590b46b29b94c0ca6fe2c06b |
| institution | DOAJ |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-05-01 |
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| spelling | doaj-art-a86d840f590b46b29b94c0ca6fe2c06b2025-08-20T03:14:01ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-05-011110.3389/fmed.2024.14742361474236Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron waveYuyan Fan0Ning Yang1Ning Yang2Jialu Zhuo3Jialu Zhuo4Ting Han5Ting Han6Department of Clinical Nutrition, Shanghai Public Health Clinical Center, Fudan University, Shanghai, ChinaDepartment of Clinical Nutrition, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaShanghai Clinical Nutrition Quality Control Center, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaDepartment of Clinical Nutrition, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaShanghai Clinical Nutrition Quality Control Center, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaDepartment of Clinical Nutrition, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaShanghai Clinical Nutrition Quality Control Center, Shanghai Tenth People’s Hospital, Tongji University of Medicine, Shanghai, ChinaObjectiveInflammatory indices are pivotal markers in gaging the harm of the COVID-19 trajectory. The definitive impact of inflammatory indices on forecasting the period required for a negative shift in nucleic acid status during the Omicron wave remains ambiguous. This research endeavors to delineate the relationship between the Systemic Inflammatory Index (SII) and the timeline for conversion to negative nucleic acid status in Omicron variant-infected patients, and to scrutinize the prognostic validity of SII for such conversion.MethodsAdult patients hospitalized at the Shanghai Public Health Clinical Center with mild cases attributed to the Omicron variant were studied from March to December 2022. They were stratified into early-conversion (with mild cases attributed to (>10 days) groups). Analyzing patient information, clinical traits, and laboratory results, we divided patients into two groups. We used logistic regression to find the link between SII and virus test timing and built ROC curves to measure predictive value via AUC.ResultsA total of 2,603 patients were enrolled. Univariate analysis found big differences in pulse rates, respiratory rates, prealbumin levels, HS-CRP levels, IL-6 levels, SII, and PNI (p < 0.05) between the groups. Adjusting for confounders, logistic regression revealed that the highest SII group had a 1.46 greater risk of not clearing a 10-day PCR test than the lowest group (OR = 1.46; 95% CI, 1.173–1.817, p = 0.001). Each one-unit rise in SII raised the risk of 10-day PCR failure by 0.1% (p < 0.0001). The ROC curve showed SII’s AUC as 0.603 (95% CI: 0.576–0.630), predicting virus test turn-around with a cut-off of 920.5, 61.9% specificity, and 52.5% sensitivity. Compared to other indicators such as IL-6 and HS-CRP, SII exhibited the highest AUC value and specificity.ConclusionIn mild cases caused by the Omicron wave, there was a discernible link between the SII and the period leading to a negative nucleic acid test outcome, with higher SII values indicating an increased risk of prolonged conversion time. SII might help guide treatment better than other indicators by predicting disease course.https://www.frontiersin.org/articles/10.3389/fmed.2024.1474236/fullCOVID-19omicron variantnucleic acid negative timesystemic inflammatory indexAUC |
| spellingShingle | Yuyan Fan Ning Yang Ning Yang Jialu Zhuo Jialu Zhuo Ting Han Ting Han Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave Frontiers in Medicine COVID-19 omicron variant nucleic acid negative time systemic inflammatory index AUC |
| title | Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave |
| title_full | Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave |
| title_fullStr | Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave |
| title_full_unstemmed | Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave |
| title_short | Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave |
| title_sort | predictive value of systemic inflammatory index sii for the time to negative nucleic acid conversion in patients with mild covid 19 by the omicron wave |
| topic | COVID-19 omicron variant nucleic acid negative time systemic inflammatory index AUC |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2024.1474236/full |
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