Infection and Drug Resistance (Jun 2023)
An Analysis of Predictive Factors for Severe Neonatal Infection and the Construction of a Prediction Model
Abstract
Bo Wang, Qi-Mao Wang, De-Xin Li Department of Neonatology, The Hospital of Suixi County, Huaibei, People’s Republic of ChinaCorrespondence: Bo Wang, Department of Neonatology, The Hospital of Suixi County, No. 114 of Xihe Road, Suixi County, Huaibei, Anhui, 235000, People’s Republic of China, Tel +86-05616091010, Email [email protected]: To investigate the primary predictive factors for the occurrence of severe neonatal infection, construct a prediction model and assess its effectiveness.Methods: A total of 160 neonates hospitalised in the Department of Neonatology at Suixi County Hospital from January 2019 to June 2022 were retrospectively analysed. Clinical data was analyzed to determine the primary predictive factors for the occurrence of severe neonatal infection. Predictive efficacy was evaluated using a receiver operating characteristic curve, and a nomogram model was constructed according to the predictors. A bootstrap technique was used to verify the accuracy of the model.Results: The neonates were divided, based on the degree of infection, into a mild infection group (n = 80) and a severe infection group (n = 80) according to a 1:1 ratio. Multivariate logistic regression analysis showed that compared with the recovery stage, white blood cell count (WBC) and platelet count (PLT) in the two groups were significantly decreased in the early stage of infection, and the ratio of mean platelet volume to PLT, as well as C-reactive protein (CRP) and procalcitonin levels, was elevated (P
