Research on the correlation between nutritional and inflammatory indicators and prognosis of COVID-19 patients

LI Yujia; XIANG Jie; ZHANG Lijie; MENG Wenwen; ZHANG Ting

doi:10.16766/j.cnki.issn.1674-4152.003623

Volume 22 Issue 8

Aug. 2024

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Article Navigation > Chinese Journal of General Practice > 2024 > 22(8): 1310-1312

LI Yujia, XIANG Jie, ZHANG Lijie, MENG Wenwen, ZHANG Ting. Research on the correlation between nutritional and inflammatory indicators and prognosis of COVID-19 patients[J]. Chinese Journal of General Practice, 2024, 22(8): 1310-1312. doi: 10.16766/j.cnki.issn.1674-4152.003623

Citation:

LI Yujia, XIANG Jie, ZHANG Lijie, MENG Wenwen, ZHANG Ting. Research on the correlation between nutritional and inflammatory indicators and prognosis of COVID-19 patients[J]. Chinese Journal of General Practice, 2024, 22(8): 1310-1312. doi: 10.16766/j.cnki.issn.1674-4152.003623

Citation:

LI Yujia, XIANG Jie, ZHANG Lijie, MENG Wenwen, ZHANG Ting. Research on the correlation between nutritional and inflammatory indicators and prognosis of COVID-19 patients[J]. Chinese Journal of General Practice, 2024, 22(8): 1310-1312. doi: 10.16766/j.cnki.issn.1674-4152.003623

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Research on the correlation between nutritional and inflammatory indicators and prognosis of COVID-19 patients

doi: 10.16766/j.cnki.issn.1674-4152.003623

LI Yujia¹
, XIANG Jie^{1, 2
,
,}
, ZHANG Lijie²
, MENG Wenwen²
, ZHANG Ting¹

1.
The Second Clinical Medical College of Xuzhou Medical University, Xuzhou, Jiangsu 221000, China 221000

Funds:

2020YFC2006604

Received Date: 2023-11-12
Available Online: 2024-11-19

Abstract

Abstract

Objective To investigate the effect of nutritional and inflammation-related composite indexes in peripheral blood on the prognosis of patients with novel coronavirus infection. Methods A retrospective analysis was conducted on 1 351 patients with novel coronavirus infection who attended the Affiliated Hospital of Xuzhou Medical University from November 2022 to February 2023. All patients were followed up for a 3-month-visit and categorized into a favorable prognosis group (cured or improved, n=1 091) and a poor prognosis group (died or treatment abandonment, n=260). General data, serologic nutritional index, serologic inflammatory index, and BMI were collected for all patients. The levels of independent and composite indexes related to nutrition and inflammation were calculated and compared between the two sets. Results Age, probability of combined diabetes mellitus, probability of combined cerebrovascular disease, neutrophil count, and systemic immune inflammation index (SII) levels were significantly higher in the poor prognosis group than in the good prognosis group (P < 0.01).The levels of BMI, lymphocyte count, albumin, platelet count, advanced lung cancer inflammation index (ALI), and prognostic nutritional index (PNI) in the poor prognosis group were significant lower than those in the good prognosis group (P < 0.05). The result of multivariate logistic regression analysis displayed that older age was an independent risk factor for poor prognosis in patients with viral pneumonia (P < 0.05), high ALI and PNI were protective indicators of poor prognosis (P < 0.05). The results of ROC curve analysis showed that the AUC for neutrophils, lymphocytes, albumin, and platelets were 0.707 (95% CI: 0.672-0.742, P < 0.001), 0.728 (95% CI: 0.694-0.762, P < 0.001), 0.720 (95% CI: 0.686-0.753, P < 0.001), 0.645 (95% CI: 0.607-0.684, P < 0.001), respectively. The AUC of composite indicators such as ALI and PNI were 0.783 (95% CI: 0.744-0.821, P < 0.001), 0.744 (95% CI: 0.705-0.782, P < 0.001), indicating that composite index have higher predictive value than the individual indicators. Conclusion Serological nutrition and inflammation independent indicators are associated with the prognosis of patients with novel coronavirus infection. ALI and PNI are predictive indicators for poor prognosis, offering higher predictive value.
- Novel coronavirus infection,
- Inflammation,
- Nutrition assessment,
- Prognosis

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References(18)

References

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