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Dataset Information

Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants


ABSTRACT:

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 pred

SUBMITTER: Zhang L 

PROVIDER: S-EPMC10466889 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature