1
|
Ling L, Liu B, Li C, Zhang D, Jia F, Tang Y, Chen B, Wang M, Zhang J. Development and validation of a prediction model for intrapartum fever related to chorioamnionitis in parturients undergoing epidural analgesia. Sci Rep 2024; 14:31298. [PMID: 39732828 PMCID: PMC11682342 DOI: 10.1038/s41598-024-82722-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 12/09/2024] [Indexed: 12/30/2024] Open
Abstract
Intrapartum fever is a common complication in parturients undergoing epidural analgesia (EA), significantly increasing the incidence of maternal and infant complications. This study aims to develop and validate a prediction model for intrapartum fever related to chorioamnionitis (IFTC) in parturients undergoing epidural analgesia. A total of 596 parturients with fever (axillary temperature ≥ 38℃) who received EA from January 2020 to December 2023 were included and randomly assigned to the training set (N = 417) and the validation set (N = 179) according to the ratio of 7:3. The independent risk factors were screened by univariate and multivariate logistic regression analysis to develop a nomogram model. Decision curve analysis (DCA) was used to evaluate the clinical effectiveness and discrimination of the model; calibration curve was used to assess the accuracy of the model. Maximum temperature, meconium-stained amniotic fluid, C-reactive protein (CRP), gestational age and BMI were independent risk factors for predicting IFTC, and the area under receiver operating characteristic curve (AUC) of the training set and the validation set were 0.744 (0.691-0.796) and 0.793 (0.714-0.872), respectively. The calibration curve showed good consistency between predicted and actual results. DCA curve showed that the model had clinical value throughout a broad threshold probability range. The nomogram prediction model based on CRP, meconium-stained amniotic fluid, maximum temperature, gestational age and BMI has good predictive performance for the risk of IFTC in EA parturients.
Collapse
Affiliation(s)
- Liang Ling
- Department of Anesthesiology, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, 610000, China
| | - Bo Liu
- Department of Anesthesiology, Chengdu Jinjiang District Women & Children Health Hospital, Chengdu, 610000, China
| | - Chunping Li
- Department of Anesthesiology, Sichuan Jinxin Xinan Women & Children Hospital, Chengdu, 610000, China
| | - Dan Zhang
- Department of Women Health Care, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, 610000, China
| | - Fei Jia
- Department of Anesthesiology, Chengdu Jinjiang District Women & Children Health Hospital, Chengdu, 610000, China
| | - Yong Tang
- Department of Anesthesiology, Sichuan Jinxin Xinan Women & Children Hospital, Chengdu, 610000, China
| | - Benzhen Chen
- Department of Anesthesiology, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, 610000, China
| | - Mengqiao Wang
- Department of Epidemiology and Biostatistics, Chengdu Medical College, Chengdu, 610500, China
| | - Jian Zhang
- Department of Anesthesiology, Sichuan Women's and Children's Hospital/Women's and Children's Hospital, Chengdu Medical College, Chengdu, 610000, China.
| |
Collapse
|
2
|
Cho HY, Park KH, Oh E, Lee MJ, Choi BY, Im EM. Plasma acute phase proteins as potential predictors of intra-amniotic inflammation and infection in preterm premature rupture of membranes. Innate Immun 2024:17534259241306237. [PMID: 39711480 DOI: 10.1177/17534259241306237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2024] Open
Abstract
BACKGROUND We aimed to investigate the potential of altered levels of various acute phase proteins (APPs) in the plasma, either used alone or in combination with ultrasound-, clinical-, and conventional blood-based tests, for predicting the risk of intra-amniotic inflammation (IAI), microbial invasion of the amniotic cavity (MIAC), histologic chorioamnionitis (HCA), and funisitis in women with preterm premature rupture of membranes (PPROM). METHODS A total of 195 consecutive pregnancies involving singleton women with PPROM (at 23 + 0-34 + 0 weeks) who underwent amniocentesis and from whom plasma samples were obtained at amniocentesis were retrospectively included in this study. Amniotic fluid (AF) was cultured to assess the MIAC and analyzed for interleukin (IL)-6 levels to define IAI (AF IL-6 level of ≥2.6 ng/mL). The plasma concentrations of hepcidin, mannose-binding lectin (MBL), pentraxin-2, retinol-binding protein 4 (RBP4), serum amyloid A1 (SAA1), and serpin A1 were determined using ELISA. Ultrasonographic cervical length (CL), neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein levels were measured. IAI/MIAC was defined as IAI, MIAC, or both. RESULTS Multivariate logistic regression analyses showed the following: (1) elevated plasma levels of hepcidin and SAA1 and decreased levels of RBP4 in the plasma were independently associated with IAI/MIAC and (2) decreased plasma RBP4 levels were independently associated with funisitis; however, (3) none of the plasma APPs investigated were associated with acute HCA when adjusted for baseline covariates. Using stepwise regression analysis, noninvasive prediction models comprising plasma RBP4 levels, CL, NLR, and gestational age at sampling were proposed, which provided a good prediction of IAI/MIAC and funisitis (area under the curve: 0.80 and 0.72, respectively). CONCLUSIONS Hepcidin, RBP4, and SAA1 were identified as potential APP biomarkers in the plasma predictive of IAI/MIAC or funisitis in patients with PPROM. In particular, combination of these APP biomarkers with ultrasound-, clinical-, and conventional blood-based markers can significantly support the diagnosis of IAI/MIAC and funisitis.
Collapse
Affiliation(s)
- Hee Young Cho
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Korea
- Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University, Seoul, Korea
| | - Kyo Hoon Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Eunji Oh
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Min Jung Lee
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Bo Young Choi
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Eun Mi Im
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| |
Collapse
|
3
|
Lv C, Lu Q, Zhang C, Yan S, Chen H, Pan XF, Fu C, Wang R, Song X. Relationship between first trimester physical activity and premature rupture of membranes: a birth cohort study in Chinese women. BMC Public Health 2024; 24:1736. [PMID: 38944666 PMCID: PMC11214697 DOI: 10.1186/s12889-024-18791-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/08/2024] [Indexed: 07/01/2024] Open
Abstract
OBJECTIVE This study aimed to examine prospective associations of different intensity levels and types of physical activity (PA) in early pregnancy with premature rupture of membranes (PROM) among Chinese pregnant women. METHODS A total of 6284 pregnant women were included from the Tongji-Shuangliu Birth Cohort. Household/caregiving, occupational, sports/exercise and transportation activities during early pregnancy were investigated by the pregnancy physical activity questionnaire (PPAQ), and the diagnosis of PROM was ascertained during the whole pregnancy. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence interval (CI) for the associations between PA and PROM. RESULTS Among the 6284 pregnant women, 1246 were identified to have PROM (19.8%). Women undertaking the highest level (3 third tertile) of PA during pregnancy appeared to have a lower risk of PROM [OR = 0.68, 95%CI 0.58-0.80) when compared to those at the lowest tertile of PA. Similarly, women with increased levels of light intensity activity, moderate-vigorous intensive, household/caregiving activity and meeting exercise guidelines during pregnancy were associated with reduced risks of PROM (OR = 0.69, 95% CI 0.59-0.81, OR = 0.70, 95% CI 0.60-0.82, OR = 0.62, 95% CI 0.53-0.73 and OR = 0.82, 95% CI 0.70-0.97, respectively). CONCLUSIONS High levels of PA of different intensities and PA of household/caregiving activities and meeting exercise guidelines during the first trimester were associated with a lower incidence of PROM. TRIAL REGISTRATION The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment. A statement to confirm that all methods were carried out in accordance with relevant guidelines and regulations.
Collapse
Affiliation(s)
- Chuanzhu Lv
- Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, Sichuan, China
- Research Unit of Island Emergency Medicine, Hainan Medical University, Chinese Academy of Medical Sciences, (No. 2019RU013), Haikou, 570100, Hainan, China
| | - Qian Lu
- School of Public Health, Hainan Medical University, Haikou, 570100, Hainan, China
| | - Caihong Zhang
- International school of Nursing, Hainan Medical University, Haikou, 570100, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou, 570100, Hainan, China
| | - Huanjun Chen
- School of Public Health, Hainan Medical University, Haikou, 570100, Hainan, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health, Department of Gynecology and Obstetrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, 610200, Sichuan, China
- Center for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, 610041, Sichuan, China
| | - Chao Fu
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570100, Hainan, China.
| | - Rixing Wang
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570100, Hainan, China.
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou, 570100, Hainan, China.
| |
Collapse
|
4
|
Severino ME, Richardson LS, Kacerovsky M, Menon R. Histologic Evidence of Epithelial-Mesenchymal Transition and Autophagy in Human Fetal Membranes. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:684-692. [PMID: 38320630 PMCID: PMC11074980 DOI: 10.1016/j.ajpath.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/17/2023] [Accepted: 12/20/2023] [Indexed: 02/08/2024]
Abstract
Preterm, prelabor rupture of the human fetal membranes (pPROM) is involved in 40% of spontaneous preterm births worldwide. Cellular-level disturbances and inflammation are effectors of membrane degradation, weakening, and rupture. Maternal risk factors induce oxidative stress (OS), senescence, and senescence-associated inflammation of the fetal membranes as reported mechanisms related to pPROM. Inflammation can also arise in fetal membrane cells (amnion/chorion) due to OS-induced autophagy and epithelial-mesenchymal transition (EMT). Autophagy, EMT, and their correlation in pPROM, along with OS-induced autophagy-related changes in amnion and chorion cells in vitro, were investigated. Immunocytochemistry staining of cytokeratin-18 (epithelial marker)/vimentin (mesenchymal marker) and proautophagy-inducing factor LC3B were performed in fetal membranes from pPROM, term not in labor, and term labor. Ultrastructural changes associated with autophagy were verified by transmission electron microscopy of the fetal membranes and in cells exposed to cigarette smoke extract (an OS inducer). EMT and LC3B staining was compared in the chorion from pPROM versus term not in labor. Transmission electron microscopy confirmed autophagosome formation in pPROM amnion and chorion. In cell culture, autophagosomes were formed in the amnion with OS treatment, while autophagosomes were accumulated in both cell types with autophagy inhibition. This study documents the association between pPROMs and amniochorion autophagy and EMT, and supports a role for OS in inducing dysfunctional cells that increase inflammation, predisposing membranes to rupture.
Collapse
Affiliation(s)
- Mary E Severino
- Division of Basic Science and Translational Research, Department of Obstetrics and Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas; College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Lauren S Richardson
- Division of Basic Science and Translational Research, Department of Obstetrics and Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas
| | - Marian Kacerovsky
- Department of Obstetrics and Gynecology, University Hospital Hradec Kralove, Faculty of Medicine in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic
| | - Ramkumar Menon
- Division of Basic Science and Translational Research, Department of Obstetrics and Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas.
| |
Collapse
|
5
|
Wang Z, Xiu X, Zhong L, Wang Y, Fang Z, Lin S, Huang H. Significance of cervical secretion culture in predicting maternal and fetal outcome in pregnant women with premature rupture of membranes: a retrospective cohort study. Front Pharmacol 2024; 15:1328107. [PMID: 38455965 PMCID: PMC10917918 DOI: 10.3389/fphar.2024.1328107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/07/2024] [Indexed: 03/09/2024] Open
Abstract
Background: To investigate the clinical value of cervical secretion culture in pregnant women with premature rupture of membranes (PROM) in predicting maternal and fetal outcomes. Methods: We retrospectively reviewed clinical records of pregnant women who underwent obstetric examination and delivered in Fujian Maternal and Child Healthcare from December 2013 to December 2016. Pregnant women with a clear diagnosis of PROM, who underwent cervical secretion culture immediately after hospital admission were selected for the study. The primary outcome was the occurrence of chorioamnionitis. The secondary outcome was neonatal admission to the neonatal intensive care unit (NICU). Correlation between maternal and fetal outcomes and the results of the cervical secretion culture was analyzed by one-way analysis and multifactorial analysis, respectively. The predictive efficacy of cervical secretion culture was evaluated using receiver operating characteristic curve (ROC), area under the curve (AUC) and the integrated discrimination improvement (IDI). Results: A total of 7,727 pregnant women with PROM were included in the study. Of them, 1812 had positive cervical secretion cultures (635 positive for mycoplasma infection, 475 for bacterial, 637 for fungal, and 65 for chlamydial infections). Pregnant women with positive mycoplasma and bacterial cultures had higher rates of developing chorioamnionitis compared to women with negative cervical secretion cultures (9%, 12% vs. 1%, respectively). Similarly, positive mycoplasma and bacterial cultures were associated with higher rate of the preterm (before 34 weeks) labor (3%, 3% vs. 1% in women with negative cultures, respectively), and neonatal admission to the NICU (9%, 11% vs. 7%, respectively). After adjusting for various confounding factors, our analysis demonstrated that a positive cervical secretion culture for mycoplasma or bacterial pathogens remained an independent risk factor for chorioamnionitis. Cervical secretion culture outcome was less effective in predicting chorioamnionitis (AUC 0.569) compared to white blood count (WBC) (AUC 0.626) and C-reactive protein (CRP) levels (AUC 0.605). The IDI of the combined predictive model incorporating WBC, CRP, maternal fever and cervical secretion culture results was 0.0029. Conclusion: Positive cervical secretion cultures, especially for mycoplasma and bacteria, are associated with higher incidence of adverse maternal and fetal outcomes. However, the predictive value of this test is poor, and cannot be efficiently used for predicting chorioamnionitis.
Collapse
|
6
|
Wang X, Huang Z, Ma Y. Development and Validation of a Multivariable Predictive Model for the Risk of Histologic Chorioamnionitis in Patients with Premature Rupture of Membranes in the Late Preterm and Term. Int J Gen Med 2024; 17:141-152. [PMID: 38249617 PMCID: PMC10799642 DOI: 10.2147/ijgm.s445374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 01/10/2024] [Indexed: 01/23/2024] Open
Abstract
Background This study aimed to develop and validate a model to predict histologic chorioamnionitis (HCA) risk in late preterm and term premature rupture of membranes (PROM) patients using clinical and laboratory parameters. Methods We conducted a retrospective study on 116 late preterm and term PROM cases, divided into a training (n=81) and a validation set (n=35). A multivariable logistic regression model was developed using the training set. Performance was assessed via the area under the receiver operating characteristic curve (AUC) and net reclassification index (NRI). Decision curve analysis (DCA) evaluated the model's clinical utility. Additionally, nomograms and a web version of the model were developed. Results In the training set, the combined model constructed using maternal BMI, gravidity, amniotic fluid characteristics, and prenatal white blood cell (WBC) count showed significantly higher AUC than WBC alone (0.859 vs 0.710, P=0.010), with improved accuracy and sensitivity. In the validation set, the AUC of the combined model remained higher than that of WBC, but the difference was not statistically significant (0.728 vs 0.584, P=0.173). NRI analysis indicated that the combined model improved the correct classification of HCA by 25.0% (P=0.012) compared to that of WBC alone. DCA demonstrated that the combined model had a higher net benefit than WBC in most cases. The nomograms and web version of the model provided convenient tools for clinicians to predict the risk of HCA. Conclusion This study successfully developed and validated a clinically feasible multivariable model to predict the risk of HCA in women with late preterm and term PROM.
Collapse
Affiliation(s)
- Xinshui Wang
- Department of Endocrinology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People’s Republic of China
| | - Zheren Huang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People’s Republic of China
| | - Yan Ma
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People’s Republic of China
| |
Collapse
|
7
|
Zhang L, Fang X, Li Z, Han X, Du H, Qu P, Xu F, Wu L, Li Y. Establishment of a prediction model for histological chorioamnionitis and its association with outcomes of premature infants. Front Pediatr 2023; 11:1194563. [PMID: 37654686 PMCID: PMC10466889 DOI: 10.3389/fped.2023.1194563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/27/2023] [Indexed: 09/02/2023] Open
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 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.
Collapse
Affiliation(s)
- Li Zhang
- Department of Neonatology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Xin Fang
- Graduate School of Xi’an Medical University, Xi’an, China
| | - Zhankui Li
- Department of Neonatology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Xiang Han
- Department of Obstetric, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Hongyan Du
- Department of Pathology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Pengfei Qu
- Translational Medicine Center, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Feifei Xu
- Graduate School of Xi’an Medical University, Xi’an, China
| | - Lizhi Wu
- Department of Neonatology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Yajun Li
- Department of Neonatology, Northwest Women’s and Children’s Hospital, Xi’an, China
| |
Collapse
|