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Ornaghi S, Caricati A, Di Martino DD, Mossa M, Di Nicola S, Invernizzi F, Zullino S, Clemenza S, Barbati V, Tinè G, Mecacci F, Ferrazzi E, Vergani P. Non-invasive Maternal Hemodynamic Assessment to Classify High-Risk Pregnancies Complicated by Fetal Growth Restriction. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:851971. [PMID: 36992751 PMCID: PMC10012115 DOI: 10.3389/fcdhc.2022.851971] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 03/23/2022] [Indexed: 11/13/2022]
Abstract
ObjectivesTo verify whether the use of the temporal criterion of 32 weeks’ gestation is effective in identifying maternal hemodynamic differences between early- and late-onset fetal growth restriction (FGR), and to test the statistical performance of a classificatory algorithm for FGR.Materials and methodsA prospective multicenter study conducted at three centers over 17 months. Singleton pregnant women with a diagnosis of FGR based on the international Delphi survey consensus at ≥ 20 weeks of gestation were included. FGR was classified as early-onset if diagnosed <32 weeks’ gestation and as late-onset if ≥32 weeks. Hemodynamic assessment was performed by USCOM-1A at the time of FGR diagnosis. Comparisons between early- and late-onset FGR among the entire study cohort, FGR associated with hypertensive disorders of pregnancy (HDP-FGR), and isolated FGR (i-FGR) were performed. In addition, HDP-FGR cases were compared to i-FGR, regardless of the temporal cut-off of 32 weeks’ gestation. Finally, a classificatory analysis based on the Random Forest model was performed to identify significant variables with the ability to differentiate FGR phenotypes.ResultsDuring the study period, 146 pregnant women fulfilled the inclusion criteria. In 44 cases, FGR was not confirmed at birth, thus limiting the final study population to 102 patients. In 49 (48.1%) women, FGR was associated to HDP. Fifty-nine (57.8%) cases were classified as early-onset. Comparison of the maternal hemodynamics between early- and late-onset FGR did not show any difference. Similarly, non-significant findings were observed in sensitivity analyses performed for HDP-FGR and for i-FGR. In turn, comparison between pregnant women with FGR and hypertension and women with i-FGR, independently of the gestational age at FGR diagnosis, revealed substantial differences, with the former showing higher vascular peripheral resistances and lower cardiac output, among other significant parameters. The classificatory analysis identified both phenotypic and hemodynamic variables as relevant in distinguishing HDP-FGR from i-FGR (p=0.009).ConclusionsOur data show that HDP, rather than gestational age at FGR diagnosis, allows to appreciate specific maternal hemodynamic patterns and to accurately distinguish two different FGR phenotypes. In addition, maternal hemodynamics, alongside phenotypic characteristics, play a central role in classifying these high-risk pregnancies.
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Affiliation(s)
- Sara Ornaghi
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Monza e Brianza per il Bambino e la sua Mamma Foundation Onlus at San Gerardo Hospital, Monza, Italy
- University of Milan-Bicocca School of Medicine and Surgery, Monza, Italy
- *Correspondence: Sara Ornaghi,
| | - Andrea Caricati
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Department of Woman, Child, and Newborn, Fondazione IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniela Denis Di Martino
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Department of Woman, Child, and Newborn, Fondazione IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, Milan, Italy
| | - Martina Mossa
- University of Milan-Bicocca School of Medicine and Surgery, Monza, Italy
| | - Sara Di Nicola
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Monza e Brianza per il Bambino e la sua Mamma Foundation Onlus at San Gerardo Hospital, Monza, Italy
- University of Milan-Bicocca School of Medicine and Surgery, Monza, Italy
| | - Francesca Invernizzi
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Monza e Brianza per il Bambino e la sua Mamma Foundation Onlus at San Gerardo Hospital, Monza, Italy
- University of Milan-Bicocca School of Medicine and Surgery, Monza, Italy
| | - Sara Zullino
- Department of Obstetrics and Gynecology, Biomedical, Experimental and Clinical Sciences, University Hospital Careggi, Florence, Italy
| | - Sara Clemenza
- Department of Obstetrics and Gynecology, Biomedical, Experimental and Clinical Sciences, University Hospital Careggi, Florence, Italy
| | - Valentina Barbati
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Department of Woman, Child, and Newborn, Fondazione IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, Milan, Italy
| | - Gabriele Tinè
- Department of Economics and Quantitative Methods, University of Milan-Bicocca, Monza, Italy
| | - Federico Mecacci
- Department of Obstetrics and Gynecology, Biomedical, Experimental and Clinical Sciences, University Hospital Careggi, Florence, Italy
| | - Enrico Ferrazzi
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Department of Woman, Child, and Newborn, Fondazione IRCCS Ca’ Granda – Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical and Community Sciences, University of Milan, Milan, Italy
| | - Patrizia Vergani
- Department of Obstetrics and Gynecology, Unit of Obstetrics, Monza e Brianza per il Bambino e la sua Mamma Foundation Onlus at San Gerardo Hospital, Monza, Italy
- University of Milan-Bicocca School of Medicine and Surgery, Monza, Italy
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Wu Y, Liu Y, Ding Y. Predictive Performance of Placental Protein 13 for Screening Preeclampsia in the First Trimester: A Systematic Review and Meta-Analysis. Front Med (Lausanne) 2021; 8:756383. [PMID: 34869456 PMCID: PMC8640131 DOI: 10.3389/fmed.2021.756383] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/25/2021] [Indexed: 12/02/2022] Open
Abstract
Preeclampsia is a pregnancy-specific syndrome that affects maternal and neonatal mortality. Several serum biomarkers can be used to predict preeclampsia. Among these proteins, placental protein 13 (PP13) has received progressively more interest in recent studies. The decrease in PP13 expression is one of the earliest signs for the development of preeclampsia and has shown its predictive performance for preeclampsia. In this meta-analysis, we collected 17 observational studies with 40,474 pregnant women. The overall sensitivity of PP13 to predict preeclampsia was 0.62 [95% confidence interval (CI) = 0.49–0.74], the specificity was 0.84 (95%CI = 0.81–0.86), and the diagnostic odds ratio was nine (95%CI = 5–15). The area under the curve for summary receiver operating characteristic was 0.84. We then chose the early-onset preeclampsia as a subgroup. The sensitivity of early-onset subgroup was 0.63 (95%CI = 0.58–0.76), the specificity was 0.85 (95%CI = 0.82–0.88), and the diagnostic odds ratio was 10 (95%CI = 6–18). The findings of our meta-analysis indicate that PP13 may be an effective serum biomarker for the predictive screening of preeclampsia. Nonetheless, large prospective cohort studies and randomized controlled trials are expected to uncover its application in clinical practice. The heterogeneity of the original trials may limit the clinical application of PP13. Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=188948 The meta-analysis was registered in PROSPERO (CRD42020188948).
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Affiliation(s)
- Yifan Wu
- Department of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, China.,Department of Obstetrics, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yang Liu
- Department of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yiling Ding
- Department of Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, China
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