Predictive Value of Prognostic Nutritional Index in Children with COVID-19
Background and aim: Severe malnutrition might contribute the poor outcomes in COVID-19. This study aims to investigate the relationship between prognostic nutritional index (PNI) and mortality in children with COVID-19 infection and its predictive value for predicting poor prognosis. Methods: A...
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| Main Authors: | , , |
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| Format: | Article PeerReviewed |
| Language: | English Indonesian English Indonesian |
| Published: |
Sami Publishing Company
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| Subjects: | |
| Online Access: | https://repository.unair.ac.id/133312/1/Artikel%201.pdf https://repository.unair.ac.id/133312/2/Karil%201.pdf https://repository.unair.ac.id/133312/3/1%20Turnitin.pdf https://repository.unair.ac.id/133312/4/1.%20etik.pdf https://repository.unair.ac.id/133312/ https://www.jmchemsci.com/article_171439.html https://doi.org/10.26655/JMCHEMSCI.2023.10.12 |
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| Institution: | Universitas Airlangga |
| Language: | English Indonesian English Indonesian |
| Summary: | Background and aim: Severe malnutrition might contribute the poor
outcomes in COVID-19. This study aims to investigate the relationship
between prognostic nutritional index (PNI) and mortality in children with
COVID-19 infection and its predictive value for predicting poor prognosis.
Methods: A case control study using medical records of paediatric patients
with COVID-19 was conducted from June 2020-July 2022. Subjects were
divided into two groups: non-survived and survived. PNI value were
calculated as 10 x serum albumin (g/dL) + 0.005 x total lymphocyte count
(/mm3). PNI was compared with nutritional status and several markers that
have been used in COVID-19, including (1) neutrophil to lymphocyte ratio
(NLR), (2) systemic immune inflammation index (SII), and (3) platelet to
lymphocyte ratio (PLR).
Results: Among 124 eligible subjects, 34 (27.41%) were in the non-survived
group and 90 (72.58%) children in the survived group. Children with severe
malnutrition had lower albumin and a greater risk of death than those with
good nutrition. PNI, NLR, and SII were significantly correlated with the
mortality children with COVID-19 except for PLR; P = 0.001, P = 0.001, P =
0.021, and P = 0.118, respectively. Receiver operating characteristic curves
stated that PNI (AUC = 0.741, P < 0.0001). The cut-off values of PNI were
41.975 with sensitivities of 73.5% and specificities of 73.3%. PNI value
<41.975 had a 7.64 times greater risk of mortality (P < 0.0001).
Conclusion: PNI might be used as predictive value for predicting poor
outcome in children with COVID-19 infection |
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