Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron
Abstract Objectives To identify the key differences in laboratory indicators between mono‐infection and co‐infection by influenza viruses and Omicron to facilitate timely adjustments in patient treatment strategies. Methods Prealbumin and C‐reactive protein (CRP) levels were analyzed in 161 COVID‐19...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Immunity, Inflammation and Disease |
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| Online Access: | https://doi.org/10.1002/iid3.1158 |
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| _version_ | 1849418367601999872 |
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| author | Chengli Zhang Wei Wang Xianglin Luo Minggang Yin Xiaolong Guo |
| author_facet | Chengli Zhang Wei Wang Xianglin Luo Minggang Yin Xiaolong Guo |
| author_sort | Chengli Zhang |
| collection | DOAJ |
| description | Abstract Objectives To identify the key differences in laboratory indicators between mono‐infection and co‐infection by influenza viruses and Omicron to facilitate timely adjustments in patient treatment strategies. Methods Prealbumin and C‐reactive protein (CRP) levels were analyzed in 161 COVID‐19 cases infected by SARS‐CoV‐2 (wild type), 299 cases infected by Omicron, 95 cases infected by influenza virus A/B (Flu A/B) and 133 co‐infection cases infected with Flu A/B and Omicron. The receiver operating characteristic (ROC) curve and logistic regression equation were used to analyze the clinical predictive capacity of prealbumin and CRP in coinfected patients. Results The co‐infected and wild‐type infected patients had significantly different CRP and prealbumin levels compared to mono‐infected patients with Omicron or Flu A/B (p < .001). The ROC curve results indicated that prealbumin was more efficient than CRP in identifying co‐infection from Omicron (AUC: 0.867 vs. 0.724) or Flu A/B (AUC: 0.797 vs. 0.730), and joint prediction significantly improved the diagnostic ability to discriminate co‐infection from mono‐infection (AUC: 0.934 and 0.887). Conclusion The findings suggest that prealbumin is a valuable indicator that can warn of co‐infection and guide timely treatment decisions. Joint prediction may offer an even more effective diagnostic tool for discriminating co‐infection from mono‐infection. |
| format | Article |
| id | doaj-art-7b8b90c01b6d4252add5b532100d521b |
| institution | Kabale University |
| issn | 2050-4527 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Immunity, Inflammation and Disease |
| spelling | doaj-art-7b8b90c01b6d4252add5b532100d521b2025-08-20T03:32:27ZengWileyImmunity, Inflammation and Disease2050-45272024-01-01121n/an/a10.1002/iid3.1158Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and OmicronChengli Zhang0Wei Wang1Xianglin Luo2Minggang Yin3Xiaolong Guo4Zigong First People's Hospital Zigong Academy of Medical Sciences Zigong ChinaInformation Department Zigong First People's Hospital Zigong ChinaInformation Department Zigong First People's Hospital Zigong ChinaZigong First People's Hospital Zigong Academy of Medical Sciences Zigong ChinaZigong First People's Hospital Zigong Academy of Medical Sciences Zigong ChinaAbstract Objectives To identify the key differences in laboratory indicators between mono‐infection and co‐infection by influenza viruses and Omicron to facilitate timely adjustments in patient treatment strategies. Methods Prealbumin and C‐reactive protein (CRP) levels were analyzed in 161 COVID‐19 cases infected by SARS‐CoV‐2 (wild type), 299 cases infected by Omicron, 95 cases infected by influenza virus A/B (Flu A/B) and 133 co‐infection cases infected with Flu A/B and Omicron. The receiver operating characteristic (ROC) curve and logistic regression equation were used to analyze the clinical predictive capacity of prealbumin and CRP in coinfected patients. Results The co‐infected and wild‐type infected patients had significantly different CRP and prealbumin levels compared to mono‐infected patients with Omicron or Flu A/B (p < .001). The ROC curve results indicated that prealbumin was more efficient than CRP in identifying co‐infection from Omicron (AUC: 0.867 vs. 0.724) or Flu A/B (AUC: 0.797 vs. 0.730), and joint prediction significantly improved the diagnostic ability to discriminate co‐infection from mono‐infection (AUC: 0.934 and 0.887). Conclusion The findings suggest that prealbumin is a valuable indicator that can warn of co‐infection and guide timely treatment decisions. Joint prediction may offer an even more effective diagnostic tool for discriminating co‐infection from mono‐infection.https://doi.org/10.1002/iid3.1158C‐reactive proteininfluenza virusesOmicronprealbuminpredicting co‐infection |
| spellingShingle | Chengli Zhang Wei Wang Xianglin Luo Minggang Yin Xiaolong Guo Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron Immunity, Inflammation and Disease C‐reactive protein influenza viruses Omicron prealbumin predicting co‐infection |
| title | Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron |
| title_full | Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron |
| title_fullStr | Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron |
| title_full_unstemmed | Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron |
| title_short | Effect of serum inflammatory factors in predicting co‐infection with influenza viruses and Omicron |
| title_sort | effect of serum inflammatory factors in predicting co infection with influenza viruses and omicron |
| topic | C‐reactive protein influenza viruses Omicron prealbumin predicting co‐infection |
| url | https://doi.org/10.1002/iid3.1158 |
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