Bibliometric analysis of sleep apnea syndrome during pregnancy_West China Medical Journal

Authors：

LI Pingli ¹ , ZHANG Jie ² , CHENG Yuhan ² , FANG Li ² , LIN Xiaolong ³ ,  XIANG Surong ¹

1. Department of Gynecology, Affiliated Hospital of Chengdu University, Chengdu, Sichuan 610081, P. R. China;
2. Department of Otorhinolaryngology Head and Neck Surgery, Western Theater Air Force Hospital of PLA, Chengdu, Sichuan 610011, P. R. China;
3. Department of Otorhinolaryngology Head and Neck Surgery, the Third People’s Hospital of Chengdu, Chengdu, Sichuan 610014, P. R. China;

Corresponding?author：

XIANG Surong, Email: 7471449@qq.com

Keywords：

Bibliometric analysis; Web of Science; sleep; pregnancy; sleep apnea syndrome

DOI：

10.7507/1002-0179.202507017

Video：

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Objective To conduct a bibliometric analysis of literature related to sleep apnea syndrome (SAS) during pregnancy, reveal research trends, and promote further development in this field. Methods A search was conducted in the Web of Science Core Collection for literature related to SAS during pregnancy, covering the period from the establishment of the database to July 25, 2024. HistCite and Excel were used to conduct a comprehensive analysis of the literature, including publication year, journal source, author, institution, country, and region. Results A total of 956 articles were included. Research on SAS during pregnancy had undergone an initial stage (1978-2009), a slow growth stage (2010-2020), and a rapid growth stage (2021 to present). The keyword with the highest frequency was “sleep”. The United States was the most active in this field, and the number of studies in China had significantly increased in recent years. High-yield authors mainly included Bourjeily G, O’Brien LM and Facco FL. The top five journals in terms of publication volume were Sleep Medicine, Journal of Clinical Sleep Medicine, Sleep and Breathing, Sleep, American Journal of Obstetrics and Gynecology. Conclusions Although significant progress has been made in the field of SAS during pregnancy, there are still research gaps in areas such as pathological mechanisms, diagnostic techniques, long-term impacts on mother and child, and treatment optimization. Research on SAS during pregnancy in China exhibits a trend of “increasing quantity but needing improvement in quality”.

Citation： LI Pingli, ZHANG Jie, CHENG Yuhan, FANG Li, LIN Xiaolong, XIANG Surong. Bibliometric analysis of sleep apnea syndrome during pregnancy. West China Medical Journal, 2026, 41(4): 587-592. doi: 10.7507/1002-0179.202507017 Copy

1.	Sharma SK, Nehra A, Sinha S, et al. Sleep disorders in pregnancy and their association with pregnancy outcomes: a prospective observational study. Sleep Breath, 2016, 20(1): 87-93.
2.	Dominguez JE, Krystal AD, Habib AS. Obstructive sleep apnea in pregnant women: a review of pregnancy outcomes and an approach to management. Anesth Analg, 2018, 127(5): 1167-1177.
3.	Facco FL, Liu CS, Cabello AA, et al. Sleep-disordered breathing: a risk factor for adverse pregnancy outcomes?. Am J Perinatol, 2012, 29(4): 277-282.
4.	Facco FL, Ouyang DW, Zee PC, et al. Development of a pregnancy-specific screening tool for sleep apnea. J Clin Sleep Med, 2012, 8(4): 389-394.
5.	Lutman M. Bibliometric analysis as a measure of scientific output. Br J Audiol, 1992, 26(6): 323-324.
6.	穆亞鳳, 都平平. Histcite 引文分析工具在 ESI 學科評介分析中的應用研究. 現代情報, 2017, 37(5): 157-161.
7.	Bourjeily G, Raker CA, Chalhoub M, et al. Pregnancy and fetal outcomes of symptoms of sleep-disordered breathing. Eur Respir J, 2010, 36(4): 849-855.
8.	Warland J, Dorrian J, Morrison JL, et al. Maternal sleep during pregnancy and poor fetal outcomes: a scoping review of the literature with meta-analysis. Sleep Med Rev, 2018, 41: 197-219.
9.	Facco FL, Parker CB, Reddy UM, et al. Association between sleep-disordered breathing and hypertensive disorders of pregnancy and gestational diabetes mellitus. Obstet Gynecol, 2017, 129(1): 31-41.
10.	Pien GW, Schwab RJ. Sleep disorders during pregnancy. Sleep, 2004, 27(7): 1405-1417.
11.	Gozal D, Gozal E, Reeves SR, et al. Gasping and autoresuscitation in the developing rat: effect of antecedent intermittent hypoxia. J Appl Physiol (1985), 2002, 92(3): 1141-1144.
12.	Gozal D, Reeves SR, Row BW, et al. Respiratory effects of gestational intermittent hypoxia in the developing rat. Am J Respir Crit Care Med, 2003, 167(11): 1540-1547.
13.	Khalyfa A, Carreras A, Almendros I, et al. Sex dimorphism in late gestational sleep fragmentation and metabolic dysfunction in offspring mice. Sleep, 2015, 38(4): 545-557.
14.	Khalyfa A, Cortese R, Qiao Z, et al. Late gestational intermittent hypoxia induces metabolic and epigenetic changes in male adult offspring mice. J Physiol, 2017, 595(8): 2551-2568.
15.	Guilleminault C, Kreutzer M, Chang JL. Pregnancy, sleep disordered breathing and treatment with nasal continuous positive airway pressure. Sleep Med, 2004, 5(1): 43-51.
16.	Reid J, Skomro R, Cotton D, et al. Pregnant women with gestational hypertension may have a high frequency of sleep disordered breathing. Sleep, 2011, 34(8): 1033-1038.
17.	Tantrakul V, Sirijanchune P, Panburana P, et al. Screening of obstructive sleep apnea during pregnancy: differences in predictive values of questionnaires across trimesters. J Clin Sleep Med, 2015, 11(2): 157-163.
18.	Franklin KA, Holmgren PA, J?nsson F, et al. Snoring, pregnancy-induced hypertension, and growth retardation of the fetus. Chest, 2000, 117(1): 137-141.
19.	Eleftheriou D, Athanasiadou KI, Sifnaios E, et al. Sleep disorders during pregnancy: an underestimated risk factor for gestational diabetes mellitus. Endocrine, 2024, 83(1): 41-50.
20.	Zhou X, Hong X, Huang K, et al. Poor sleep quality in early pregnancy increases the risk of developing gestational diabetes mellitus: a propensity score matching analysis. Sleep Breath, 2023, 27(4): 1557-1565.
21.	Perger E, Silvestri R, Bonanni E, et al. Gender medicine and sleep disorders: from basic science to clinical research. Front Neurol, 2024, 15: 1392489.
22.	Sharkey KM, Waters K, Millman RP, et al. Validation of the apnea risk evaluation system (ARES) device against laboratory polysomnography in pregnant women at risk for obstructive sleep apnea syndrome. J Clin Sleep Med, 2014, 10(5): 497-502.
23.	Antony KM, Agrawal A, Arndt ME, et al. Obstructive sleep apnea in pregnancy: reliability of prevalence and prediction estimates. J Perinatol, 2014, 34(8): 587-593.
24.	de Zambotti M, Baker FC, Colrain IM. Validation of sleep-tracking technology compared with polysomnography in adolescents. Sleep, 2015, 38(9): 1461-1468.
25.	Balserak BI, Zhu B, Grandner MA, et al. Obstructive sleep apnea in pregnancy: performance of a rapid screening tool. Sleep Breath, 2019, 23(2): 425-432.
26.	Facco FL, Lopata V, Wolsk JM, et al. Can we use home sleep testing for the evaluation of sleep apnea in obese pregnant women?. Sleep Disord, 2019, 2019: 3827579.
27.	Almarshad MA, Al-Ahmadi S, Islam MS, et al. Adoption of transformer neural network to improve the diagnostic performance of oximetry for obstructive sleep apnea. Sensors (Basel), 2023, 23(18): 7924.
28.	Talukder A, Li Y, Yeung D, et al. OSApredictor: a tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics. Comput Biol Med, 2024, 178: 108777.
29.	Olsen M, Zeitzer JM, Nakase-Richardson R, et al. A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies. IEEE Trans Biomed Eng, 2024, 71(8): 2506-2517.
30.	Zhang Q, Yue Y, Wang X, et al. Tandem mass tag-labeled quantitative proteome analyses identify C1R and A2M as novel serum biomarkers in pregnant women with obstructive sleep apnea. J Proteome Res, 2024, 23(4): 1232-1248.
31.	Stanek A, Bro?yna-Tkaczyk K, My?liński W. Oxidative stress markers among obstructive sleep apnea patients. Oxid Med Cell Longev, 2021, 2021: 9681595.

1. Sharma SK, Nehra A, Sinha S, et al. Sleep disorders in pregnancy and their association with pregnancy outcomes: a prospective observational study. Sleep Breath, 2016, 20(1): 87-93.
2. Dominguez JE, Krystal AD, Habib AS. Obstructive sleep apnea in pregnant women: a review of pregnancy outcomes and an approach to management. Anesth Analg, 2018, 127(5): 1167-1177.
3. Facco FL, Liu CS, Cabello AA, et al. Sleep-disordered breathing: a risk factor for adverse pregnancy outcomes?. Am J Perinatol, 2012, 29(4): 277-282.
4. Facco FL, Ouyang DW, Zee PC, et al. Development of a pregnancy-specific screening tool for sleep apnea. J Clin Sleep Med, 2012, 8(4): 389-394.
5. Lutman M. Bibliometric analysis as a measure of scientific output. Br J Audiol, 1992, 26(6): 323-324.
6. 穆亞鳳, 都平平. Histcite 引文分析工具在 ESI 學科評介分析中的應用研究. 現代情報, 2017, 37(5): 157-161.
7. Bourjeily G, Raker CA, Chalhoub M, et al. Pregnancy and fetal outcomes of symptoms of sleep-disordered breathing. Eur Respir J, 2010, 36(4): 849-855.
8. Warland J, Dorrian J, Morrison JL, et al. Maternal sleep during pregnancy and poor fetal outcomes: a scoping review of the literature with meta-analysis. Sleep Med Rev, 2018, 41: 197-219.
9. Facco FL, Parker CB, Reddy UM, et al. Association between sleep-disordered breathing and hypertensive disorders of pregnancy and gestational diabetes mellitus. Obstet Gynecol, 2017, 129(1): 31-41.
10. Pien GW, Schwab RJ. Sleep disorders during pregnancy. Sleep, 2004, 27(7): 1405-1417.
11. Gozal D, Gozal E, Reeves SR, et al. Gasping and autoresuscitation in the developing rat: effect of antecedent intermittent hypoxia. J Appl Physiol (1985), 2002, 92(3): 1141-1144.
12. Gozal D, Reeves SR, Row BW, et al. Respiratory effects of gestational intermittent hypoxia in the developing rat. Am J Respir Crit Care Med, 2003, 167(11): 1540-1547.
13. Khalyfa A, Carreras A, Almendros I, et al. Sex dimorphism in late gestational sleep fragmentation and metabolic dysfunction in offspring mice. Sleep, 2015, 38(4): 545-557.
14. Khalyfa A, Cortese R, Qiao Z, et al. Late gestational intermittent hypoxia induces metabolic and epigenetic changes in male adult offspring mice. J Physiol, 2017, 595(8): 2551-2568.
15. Guilleminault C, Kreutzer M, Chang JL. Pregnancy, sleep disordered breathing and treatment with nasal continuous positive airway pressure. Sleep Med, 2004, 5(1): 43-51.
16. Reid J, Skomro R, Cotton D, et al. Pregnant women with gestational hypertension may have a high frequency of sleep disordered breathing. Sleep, 2011, 34(8): 1033-1038.
17. Tantrakul V, Sirijanchune P, Panburana P, et al. Screening of obstructive sleep apnea during pregnancy: differences in predictive values of questionnaires across trimesters. J Clin Sleep Med, 2015, 11(2): 157-163.
18. Franklin KA, Holmgren PA, J?nsson F, et al. Snoring, pregnancy-induced hypertension, and growth retardation of the fetus. Chest, 2000, 117(1): 137-141.
19. Eleftheriou D, Athanasiadou KI, Sifnaios E, et al. Sleep disorders during pregnancy: an underestimated risk factor for gestational diabetes mellitus. Endocrine, 2024, 83(1): 41-50.
20. Zhou X, Hong X, Huang K, et al. Poor sleep quality in early pregnancy increases the risk of developing gestational diabetes mellitus: a propensity score matching analysis. Sleep Breath, 2023, 27(4): 1557-1565.
21. Perger E, Silvestri R, Bonanni E, et al. Gender medicine and sleep disorders: from basic science to clinical research. Front Neurol, 2024, 15: 1392489.
22. Sharkey KM, Waters K, Millman RP, et al. Validation of the apnea risk evaluation system (ARES) device against laboratory polysomnography in pregnant women at risk for obstructive sleep apnea syndrome. J Clin Sleep Med, 2014, 10(5): 497-502.
23. Antony KM, Agrawal A, Arndt ME, et al. Obstructive sleep apnea in pregnancy: reliability of prevalence and prediction estimates. J Perinatol, 2014, 34(8): 587-593.
24. de Zambotti M, Baker FC, Colrain IM. Validation of sleep-tracking technology compared with polysomnography in adolescents. Sleep, 2015, 38(9): 1461-1468.
25. Balserak BI, Zhu B, Grandner MA, et al. Obstructive sleep apnea in pregnancy: performance of a rapid screening tool. Sleep Breath, 2019, 23(2): 425-432.
26. Facco FL, Lopata V, Wolsk JM, et al. Can we use home sleep testing for the evaluation of sleep apnea in obese pregnant women?. Sleep Disord, 2019, 2019: 3827579.
27. Almarshad MA, Al-Ahmadi S, Islam MS, et al. Adoption of transformer neural network to improve the diagnostic performance of oximetry for obstructive sleep apnea. Sensors (Basel), 2023, 23(18): 7924.
28. Talukder A, Li Y, Yeung D, et al. OSApredictor: a tool for prediction of moderate to severe obstructive sleep apnea-hypopnea using readily available patient characteristics. Comput Biol Med, 2024, 178: 108777.
29. Olsen M, Zeitzer JM, Nakase-Richardson R, et al. A deep transfer learning approach for sleep stage classification and sleep apnea detection using wrist-worn consumer sleep technologies. IEEE Trans Biomed Eng, 2024, 71(8): 2506-2517.
30. Zhang Q, Yue Y, Wang X, et al. Tandem mass tag-labeled quantitative proteome analyses identify C1R and A2M as novel serum biomarkers in pregnant women with obstructive sleep apnea. J Proteome Res, 2024, 23(4): 1232-1248.
31. Stanek A, Bro?yna-Tkaczyk K, My?liński W. Oxidative stress markers among obstructive sleep apnea patients. Oxid Med Cell Longev, 2021, 2021: 9681595.

West China Medical Journal

Bibliometric analysis of sleep apnea syndrome during pregnancy

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