A simple predictive model for puerperal infections: emphasizing risk factors and pathogen analysis

• Published in: Frontiers in cellular and infection microbiology Vol. 14; p. 1464485
• Main Authors: Wen, Yanqing, Ming, Xin, Yang, Jing, Qi, Hongbo
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 12.12.2024
• Subjects: Adult; Anti-Bacterial Agents - pharmacology; Anti-Bacterial Agents - therapeutic use; Bacteria - classification; Bacteria - drug effects; Bacteria - isolation & purification; Cellular and Infection Microbiology; drug sensitivity; Female; Humans; Microbial Sensitivity Tests; nomogram; Nomograms; pathogenic bacteria; predictive model; Pregnancy; puerperal infection; Puerperal Infection - diagnosis; Puerperal Infection - microbiology; Risk Factors; ROC Curve; Young Adult; pathogenic bacteria; drug sensitivity; predictive model; nomogram; puerperal infection
• DOI: 10.3389/fcimb.2024.1464485
• ISSN: 2235-2988

Puerperal infection (PI) accounting for approximately 11% of maternal deaths globally is an important preventable cause of maternal morbidity and mortality. This study aims to analyze the high-risk factors and pathogenic bacteria of PI, design a nomogram to predict the risk of PI occurrence, and provide clinical guidance for prevention and treatment to improve maternal outcomes. A total of 525 pregnant women were included in the study. The mothers were randomly divided into a training cohort (n=367) and a test cohort (n=158). The performance of our model was assessed using the area under the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analyses. All the women in the group of PI underwent blood culture tests, if the bacteria were detected, drug sensitivity tests were performed. The drug sensitivity spectrum was recorded and analyzed. Univariate analysis showed that 12 indicators were significantly different (P < 0.05). Logistic regression analysis showed 6 factors, such as parity, number of vaginal examinations, amount of postpartum bleeding, antibiotics administered in one week before admission, induced labor, and indwelling catheter were significantly different between the PI group and control group (P < 0.05). The area under the ROC curve was 0.904 (95% CI: 0.871-0.936) in the training set and 0.890 (95% CI: 0.837-0.942) in the test set. The calibration curve of the nomogram showed good agreement between prediction and observation. The analysis of the clinical decision curve showed that the nomogram is of practical significance. There were 100 patients with positive blood cultures in the PI group, and was the main pathogenic bacteria, accounting for 89%. The sensitivity to Meropenem and Imipenem was 100%, to Piperacillin tazobactam 97.75%, to Ceftazidime 95.51%, and to Amoxicillin/Clavulanat (AMC) was 93.26%. The risk of PI will be significantly reduced by controlling the number of vaginal examinations less than 4 times, postpartum hemorrhage less than 414ml, and reducing the time of urethral catheter indwelling. If PI was clinically diagnosed or highly suspected, it was recommended to use antibiotics that were sensitive to , such as Piperacillin tazobactam, Ceftazidime, and AMC.