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Observational Study
. 2024 Sep 11;24(1):955.
doi: 10.1186/s12879-024-09795-y.

Nomogram for predicting the risk of nosocomial infections among obstetric inpatients: a large-scale retrospective study in China

Lei Huang #  1   2 , Houzhi Chen  3   4 , Jielong Wu #  5   6 , Huiping Huang  7   8 , Jing Ran  9
Affiliations
Observational Study

Nomogram for predicting the risk of nosocomial infections among obstetric inpatients: a large-scale retrospective study in China

Lei Huang et al. BMC Infect Dis. .

Abstract

Objective: This study aimed to develop and validate a nomogram for assessing the risk of nosocomial infections among obstetric inpatients, providing a valuable reference for predicting and mitigating the risk of postpartum infections.

Methods: A retrospective observational study was performed on a cohort of 28,608 obstetric patients admitted for childbirth between 2017 and 2022. Data from the year 2022, comprising 4,153 inpatients, were utilized for model validation. Univariable and multivariable stepwise logistic regression analyses were employed to identify the factors influencing nosocomial infections among obstetric inpatients. A nomogram was subsequently developed based on the final predictive model. The receiver operating characteristic (ROC) curve was utilized to calculate the area under the curve (AUC) to evaluate the predictive accuracy of the nomogram in both the training and validation datasets.

Results: The gestational weeks > = 37, prenatal anemia, prenatal hypoproteinemia, premature rupture of membranes (PROM), cesarean sction, operative delivery, adverse birth outcomes, length of hospitalization (days) > 5, CVC use and catheterization of ureter were included in the ultimate prediction model. The AUC of the nomogram was 0.828 (0.823, 0.833) in the training dataset and 0.855 (0.844, 0.865) in the validation dataset.

Conclusion: Through a large-scale retrospective study conducted in China, we developed and independently validated a nomogram to enable personalized postpartum infections risk estimates for obstetric inpatients. Its clinical application can facilitate early identification of high-risk groups, enabling timely infection prevention and control measures.

Keywords: Large-scale retrospective study; Nomogram; Obstetric inpatients; Postpartum infections; Risk prediction model.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Distribution of nosocomial infection sites in obstetric inpatients over the past years
Fig. 2
Fig. 2
Nomogram for postpartum infections Risk. Nomogram depicting the estimation of postpartum infections risk in obstetric inpatients. Based on the 10 variables in the nomogram, the individual clinical characteristics of the obstetric inpatient are inputted and the total score of the patient is calculated. Each total score corresponds to a probability of postpartum infections risk
Fig. 3
Fig. 3
The ROC curve of the nomogram. A, in the training dataset; B, in the validation dataset
See this image and copyright information in PMC

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References

    1. Chan MY, Smith MA. 5.16 - Infections in Pregnancy☆. In: Comprehensive Toxicology (Third Edition). edn. Edited by McQueen CA. Oxford: Elsevier; 2018: 232–249.
    1. Goff SL, Pekow PS, Avrunin J, Lagu T, Markenson G, Lindenauer PK. Patterns of obstetric infection rates in a large sample of US hospitals. Am J Obstet Gynecol 2013, 208(6):456 e451-413. - PMC - PubMed
    1. Group WHOGMSSR. Frequency and management of maternal infection in health facilities in 52 countries (GLOSS): a 1-week inception cohort study. Lancet Glob Health. 2020;8(5):e661–71. 10.1016/S2214-109X(20)30109-1 - DOI - PMC - PubMed
    1. Chrzan-Detkos M, Walczak-Kozlowska T, Lipowska M. The need for additional mental health support for women in the postpartum period in the times of epidemic crisis. BMC Pregnancy Childbirth. 2021;21(1):114. 10.1186/s12884-021-03544-8 - DOI - PMC - PubMed
    1. Kollef MH, Torres A, Shorr AF, Martin-Loeches I, Micek ST. Nosocomial infection. Crit Care Med. 2021;49(2):169–87. 10.1097/CCM.0000000000004783 - DOI - PubMed

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