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Kearney RE, Wu YW, Vargas-Calixto J, Kuzniewicz MW, Cornet MC, Forquer H, Gerstley L, Hamilton E, Warrick PA. Construction of a comprehensive fetal monitoring database for the study of perinatal hypoxic ischemic encephalopathy. MethodsX 2024; 12:102664. [PMID: 38524309 PMCID: PMC10957432 DOI: 10.1016/j.mex.2024.102664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 03/11/2024] [Indexed: 03/26/2024] Open
Abstract
This article describes the methods used to build a large-scale database of more than 250,000 electronic fetal monitoring (EFM) records linked to a comprehensive set of clinical information about the infant, the mother, the pregnancy, labor, and outcome. The database can be used to investigate how birth outcome is related to clinical and EFM features. The main steps involved in building the database were: (1) Acquiring the raw EFM recording and clinical records for each birth. (2) Assigning each birth to an objectively defined outcome class that included normal, acidosis, and hypoxic-ischemic encephalopathy. (3) Removing all personal health information from the EFM recordings and clinical records. (4) Preprocessing the deidentified EFM records to eliminate duplicates, reformat the signals, combine signals from different sensors, and bridge gaps to generate signals in a format that can be readily analyzed. (5) Post-processing the repaired EFM recordings to extract key features of the fetal heart rate, uterine activity, and their relations. (6) Populating a database that links the clinical information, EFM records, and EFM features to support easy querying and retrieval. •A multi-step process is required to build a comprehensive database linking electronic temporal fetal monitoring signals to a comprehensive set of clinical information about the infant, the mother, the pregnancy, labor, and outcome.•The current database documents more than 250,000 births including almost 4,000 acidosis and 400 HIE cases. This represents more than 80% of the births that occurred in 15 Northern California Kaiser Permanente Hospitals between 2011-2019. This is a valuable resource for studying the factors predictive of outcome.•The signal processing code and schemas for the database are freely available. The database will not be permitted to leave Kaiser firewalls, but a process is in place to allow interested investigators to access it.
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Affiliation(s)
- Robert E Kearney
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, Quebec, H3A 2B4, Canada
| | - Yvonne W. Wu
- Departments of Neurology and Pediatrics, University of California, San Francisco, 675 Nelson Rising Lane, Ste 411, San Francisco, CA 94158, USA
| | - Johann Vargas-Calixto
- Department of Biomedical Engineering, Faculty of Medicine, McGill University, 3775 University Street, Montreal, Quebec, H3A 2B4, Canada
| | - Michael W. Kuzniewicz
- Department of Pediatrics and Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Marie-Coralie Cornet
- Department of Pediatrics, Benioff Children's Hospital, University of California San Francisco, 550 16th St, Floor 5, San Francisco, CA 94143, USA
| | - Heather Forquer
- Department of Pediatrics and Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612, USA
| | - Lawrence Gerstley
- Kaiser Permanente, Division of Research, 2000 Broadway, Oakland, CA 94612, USA
| | - Emily Hamilton
- PeriGen Inc.100 Regency Forest Drive, Suite 200 Cary, North Carolina 27518, USA
| | - Philip A. Warrick
- PeriGen Inc.100 Regency Forest Drive, Suite 200 Cary, North Carolina 27518, USA
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Chen M, Huang S, Song C, Chen X, Chen J, Bu G, Zhang H, Huang W, Fu J, Xu E. Value of painless transvaginal four-dimensional hysterosalpingo contrast sonography in reducing venous intravasation: a comparative study. J Ultrasound 2024:10.1007/s40477-023-00847-8. [PMID: 38219240 DOI: 10.1007/s40477-023-00847-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/11/2023] [Indexed: 01/16/2024] Open
Abstract
OBJECTIVE To investigate the value of painless transvaginal four-dimensional hysterosalpingo contrast sonography (TV 4-D HyCoSy) in reducing venous intravasation and its influencing factors through a retrospective comparative study on conventional TV 4-D HyCoSy. MATERIALS AND METHODS A total of 451 patients were enrolled in this study from Jan. 2019 to Oct. 2021. There were 249 patients in the painless TV 4-D HyCoSy group and 202 patients in the conventional TV 4-D HyCoSy group. The incidence of venous intravasation and its related influencing factors were analyzed and compared between these two groups. The difficulty of image evaluation for the diagnosis was also compared. RESULTS There was no significant difference in the baseline characteristics between the painless group and the conventional group (p > 0.05). Compared with the conventional group, the painless group had a lower incidence of venous intravasation (16.9 vs. 24.8%; p = 0.039). Painless TV 4-D HyCoSy was more effective in reducing venous intravasation in patients with primary infertility (p = 0.032) without a history of pelvic surgery (p = 0.008) or ectopic pregnancy (p = 0.018). Logistic regression analysis demonstrated that painless TV 4-D HyCoSy and endometrial thickness > 5 mm were protective factors for venous intravasation. Moreover, the diagnostic procedure was easier in the painless group than in the conventional group (p = 0.002). CONCLUSIONS Painless TV 4D-HyCoSy may be an effective mode in reducing the incidence of venous intravasation and improving the diagnosis of patency of fallopian tubes.
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Affiliation(s)
- Mengjie Chen
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Shiying Huang
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Changlin Song
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Xiaomin Chen
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Jiajia Chen
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Guojuan Bu
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Huiying Zhang
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Wanling Huang
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China
| | - Juan Fu
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China.
| | - Erjiao Xu
- Department of Medical Ultrasonics, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518033, China.
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