Cargando…
Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants
AIM: This study aims to construct a prediction model for histological chorioamnionitis (HCA) and analyze the associations between the predicted risk of HCA and adverse outcomes in preterm infants. METHODS: In total, 673 subjects were included in this cohort study and divided into HCA group (n = 195)...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466889/ https://www.ncbi.nlm.nih.gov/pubmed/37654686 http://dx.doi.org/10.3389/fped.2023.1194563 |
_version_ | 1785098992229548032 |
---|---|
author | Zhang, Li Fang, Xin Li, Zhankui Han, Xiang Du, Hongyan Qu, Pengfei Xu, Feifei Wu, Lizhi Li, Yajun |
author_facet | Zhang, Li Fang, Xin Li, Zhankui Han, Xiang Du, Hongyan Qu, Pengfei Xu, Feifei Wu, Lizhi Li, Yajun |
author_sort | Zhang, Li |
collection | PubMed |
description | AIM: This study aims to construct a prediction model for histological chorioamnionitis (HCA) and analyze the associations between the predicted risk of HCA and adverse outcomes in preterm infants. METHODS: In total, 673 subjects were included in this cohort study and divided into HCA group (n = 195) and non-HCA group (n = 478). A stepwise method was used to screen the predictors for HCA, binary logistic regression was used to construct the prediction model, and the associations between the predicted risk of HCA and adverse outcomes were analyzed. RESULTS: HCA occurred in 195 patients, accounting for 29.0%. The sensitivity of the prediction model was 0.821 [95% confidence interval (CI): 0.767–0.874)], the specificity was 0.684 (95% CI: 0.642–0.726), the positive predictive value was 0.514 (0.459–0.570), the negative predictive value was 0.903 (95% CI: 0.873–0.934), the area under the curve was 0.821 (95% CI: 0.786–0.855), and the accuracy was 0.724 (95% CI: 0.690–0.757). The predicted risk of HCA was associated with a higher risk of bronchopulmonary dysplasia (BPD) [odds ratio (OR) = 3.48, 95% CI: 1.10–10.95)], sepsis (OR = 6.66, 95% CI: 2.17–20.43), and neonatal infections (OR = 9.85, 95% CI: 3.59–26.98), but not necrotizing enterocolitis (OR = 0.67, 95% CI: 0.24–1.88), retinopathy of prematurity (OR = 1.59, 95% CI: 0.37–6.85), and brain damage (OR = 1.77, 95% CI: 0.82–3.83). After adjusting for confounders including gestational week at birth and birth weight, the risk of neonatal infections (OR = 5.03, 95% CI: 2.69–9.41) was increased in preterm infants’ exposure to HCA. CONCLUSION: The model showed good predictive performance for identifying pregnant women with a higher risk of HCA. In addition, HCA was associated with the risk of BPD, sepsis, and infections in neonates. |
format | Online Article Text |
id | pubmed-10466889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104668892023-08-31 Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants Zhang, Li Fang, Xin Li, Zhankui Han, Xiang Du, Hongyan Qu, Pengfei Xu, Feifei Wu, Lizhi Li, Yajun Front Pediatr Pediatrics AIM: This study aims to construct a prediction model for histological chorioamnionitis (HCA) and analyze the associations between the predicted risk of HCA and adverse outcomes in preterm infants. METHODS: In total, 673 subjects were included in this cohort study and divided into HCA group (n = 195) and non-HCA group (n = 478). A stepwise method was used to screen the predictors for HCA, binary logistic regression was used to construct the prediction model, and the associations between the predicted risk of HCA and adverse outcomes were analyzed. RESULTS: HCA occurred in 195 patients, accounting for 29.0%. The sensitivity of the prediction model was 0.821 [95% confidence interval (CI): 0.767–0.874)], the specificity was 0.684 (95% CI: 0.642–0.726), the positive predictive value was 0.514 (0.459–0.570), the negative predictive value was 0.903 (95% CI: 0.873–0.934), the area under the curve was 0.821 (95% CI: 0.786–0.855), and the accuracy was 0.724 (95% CI: 0.690–0.757). The predicted risk of HCA was associated with a higher risk of bronchopulmonary dysplasia (BPD) [odds ratio (OR) = 3.48, 95% CI: 1.10–10.95)], sepsis (OR = 6.66, 95% CI: 2.17–20.43), and neonatal infections (OR = 9.85, 95% CI: 3.59–26.98), but not necrotizing enterocolitis (OR = 0.67, 95% CI: 0.24–1.88), retinopathy of prematurity (OR = 1.59, 95% CI: 0.37–6.85), and brain damage (OR = 1.77, 95% CI: 0.82–3.83). After adjusting for confounders including gestational week at birth and birth weight, the risk of neonatal infections (OR = 5.03, 95% CI: 2.69–9.41) was increased in preterm infants’ exposure to HCA. CONCLUSION: The model showed good predictive performance for identifying pregnant women with a higher risk of HCA. In addition, HCA was associated with the risk of BPD, sepsis, and infections in neonates. Frontiers Media S.A. 2023-08-16 /pmc/articles/PMC10466889/ /pubmed/37654686 http://dx.doi.org/10.3389/fped.2023.1194563 Text en © 2023 Zhang, Fang, Li, Han, Du, Qu, Xu, Wu and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pediatrics Zhang, Li Fang, Xin Li, Zhankui Han, Xiang Du, Hongyan Qu, Pengfei Xu, Feifei Wu, Lizhi Li, Yajun Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title | Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title_full | Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title_fullStr | Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title_full_unstemmed | Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title_short | Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
title_sort | establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466889/ https://www.ncbi.nlm.nih.gov/pubmed/37654686 http://dx.doi.org/10.3389/fped.2023.1194563 |
work_keys_str_mv | AT zhangli establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT fangxin establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT lizhankui establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT hanxiang establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT duhongyan establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT qupengfei establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT xufeifei establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT wulizhi establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants AT liyajun establishmentofapredictionmodelforhistologicalchorioamnionitisanditsassociationwithoutcomesofprematureinfants |