Trending Topic

Stastical analysis indication diabetes mellitus .generative ai
5 mins

Trending Topic

Developed by Touch
Mark CompleteCompleted
BookmarkBookmarked
Saptarshi Bhattacharya, Sanjay Kalra, Lakshmi Nagendra

Very few trials in the history of medical science have altered the treatment landscape as profoundly as the UK Prospective Diabetes Study (UKPDS). Even 44 years after its inception, the trial and post-study follow-up findings continue to fascinate and enlighten the medical community. The study was conceived at a time when there was uncertainty about […]

8 mins

Obstructive Sleep Apnoea in Pregnancy – More Questions than Answers

Soha Patel, Judette M Louis
Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Published Online: Aug 28th 2013 European Endocrinology,2013;9(2):121–4 DOI: http://doi.org/10.17925/EE.2013.09.02.121
Select a Section…
1

Abstract

Overview

The role of obstructive sleep apnoea (OSA) in pregnancy is not well studied, but an increasing body of literature appears to indicate that
there may be adverse maternal and foetal health effects of the disease. OSA is associated with a twofold risk of pre-eclampsia. The small
size of the existing investigations still leave unanswered questions about the consequences of OSA as it relates to some other clinically
relevant outcomes such as eclampsia, stillbirth and maternal mortality. A consistent body of literature has emerged demonstrating an
increased risk of insulin resistance and diabetes associated with OSA. However, among pregnant women, the association appears to be
related to short sleep duration. Well-designed and adequately powered studies are needed to further delineate the role of OSA and sleep
duration on pregnancy outcome and the mechanisms of those effects.

Keywords

Sleep apnoea, pregnancy, short sleep duration, gestational diabetes, obesity, glucose intolerance

2

Article

The global obesity pandemic has been well documented and affects both high- and low-income countries.1 In the US, two-thirds of adults are classified as either overweight or obese.2,3 In tandem with the high prevalence of obesity is a change in the prevalence of obesity among reproductive-aged women. Therefore, obesity-related morbid conditions such as chronic hypertension and diabetes are also increasing.4–7


The global obesity pandemic has been well documented and affects both high- and low-income countries.1 In the US, two-thirds of adults are classified as either overweight or obese.2,3 In tandem with the high prevalence of obesity is a change in the prevalence of obesity among reproductive-aged women. Therefore, obesity-related morbid conditions such as chronic hypertension and diabetes are also increasing.4–7

One obesity-related condition, which has received increased attention in recent years, is sleep disordered breathing (SDB). SDB refers to a group of disorders characterised by abnormal respiratory patterns (i.e. apnoeas) or abnormal gas exchange (i.e. hypoxia) during sleep. SDB ranges in severity from snoring, to the most severe form, obstructive sleep apnoea (OSA).8 OSA is defined as entirely absent or severely reduced airflow during sleep in spite of respiratory effort. It is characterised by recurrent episodes of complete or partial upper airway collapse during sleep leading to decreased airflow, hypoxaemia and recurrent arousals from sleep.9 The medical consequences of OSA in the general population have been well documented and include excessive daytime sleepiness, fatigue, cognitive dysfunction and impaired quality of life.10 OSA is frequently associated with cardiovascular and metabolic disorders such as hypertension and diabetes. In addition, OSA may contribute to arrhythmias, heart failure, insulin resistance, diabetes, dyslipidaemia and atherosclerosis progression.11

The role of OSA in pregnancy is not as well studied, but an increasing body of literature appears to indicate that there may be maternal and foetal health effects of the disease. In this article, we will review the published literature on OSA in pregnancy, associated outcomes and suggest future directions for research.

Epidemiology
OSA is an increasingly common condition. The prevalence of SDB as defined by an apnoea-hypopnoea index (AHI) ≥15 among women aged 30– 39 was 4 % among women in the Wisconsin Sleep Cohort.12 Subsequent studies have reported prevalence of OSA among reproductive age women that is estimated to be 0.6–7 %, depending on the population and the diagnostic criteria used.12,13 That prevalence rises to 11–20 % among pregnant women, with the highest prevalence observed among obese gravidas.12,14–16 Determining the true prevalence of OSA in pregnancy is difficult secondary to the diagnostic challenges that pregnancy presents. Validated questionnaires have been demonstrated to be poorly predictive of OSA among pregnant women and may overestimate the prevalence of OSA.17–19 This may be secondary to an overlap between symptoms from physiological pregnancy changes and symptoms of OSA. The gold standard for OSA diagnosis is the nocturnal polysomnogram.9 This test is expensive, and the time constraints proved to be inhibitive, in particular to women who may be unable to spend the night away from home. The use of unattended portable monitors in the home is increasing but has been approved for limited populations.20

While this alternative is widely used in research, many of the portable devices have not been validated in pregnant women. However, reports from small groups of women indicate that there is considerable agreement between portable monitoring and polysomnography (PSG) but the monitors may overestimate the respiratory disturbance index.21

Risk Factors
In the general population, obesity and weight gain is recognised as the most significant risk factor for OSA with a 10 % weight gain being associated with a sixfold increased risk of OSA compared with individuals with a stable weight.1 This finding has also been confirmed in pregnancy, with obesity emerging as the predominate risk factor. Even among obese women enrolled in a screening protocol, women with OSA were on average 10 kg/m2 heavier than women without OSA.15 This finding has been mirrored by retrospective and cohort studies, which have reported that increasing body mass index (BMI), older age and chronic hypertension were also associated with an approximately twofold higher risk of OSA.15,19,22

Physiological Changes in Pregnancy
During the course of pregnancy, oestrogen and progesterone levels rise significantly. Respiratory drive is noted to increase due to increased progesterone levels. Oestrogen, on the other hand, induces capillary congestion, hyperaemia, nasopharyngeal mucosal oedema, vasomotor rhinitis and increased nasal congestion. This can then lead to narrowing of the upper airway, specifically the oropharyngeal diameters, with increased upper airway resistance to airflow and more negative intrapharyngeal pressure with inspiration leading to snoring and obstructed breathing in sleep.23,24

Furthermore, as pregnancy progresses, weight gain and the upward displacement of the diaphragm occurs due to the growing foetus. This can lead to increased diaphragmatic effort, which results in greater negative pressure at the level of the upper airway and can potentiate upper airway collapse.

Further changes in the airway can be detected by the increase in oropharyngeal oedema and narrowing of the airway. The Mallampati score is a crude assessment of airway crowding, which is predictive of difficulty of intubation.25 Longitudinal studies of pregnant women have indicated that the score increases as pregnancy progresses. The proportion of women with a Grade IV Mallampati, indicating severe airway crowding, increased by 34 % over the course of the pregnancy.26,27 All of these changes, in summary, may predispose to the development of SDB or worsening of existing SDB. Currently, there are no published large-scale trials that use objective testing for OSA to report the longitudinal changes in OSA.

Consequences of Obstructive Sleep Apnoea
The initial reports regarding OSA and adverse pregnancy outcomes were limited to case reports. In those reports, clinical cases of intermittent hypoxia were reported to be associated with chronic hypertension, diabetes, pre-eclampsia and foetal growth restriction.25,28,29 In more than half of the initial case reports, there was no objective testing for OSA, but rather the subjects were classified based on their clinical picture.25 This led to criticisms of the reported associations because there is significant overlap between obesity-related comorbid conditions are significant confounders for pre-eclampsia and foetal growth restriction. Since that time, there has been a significant increase in the number of scientific studies addressing the adverse effects of SDB on pregnancy.

Among the studies with confirmed OSA diagnosis, the largest one utilised a population-based cohort of 791 Taiwanese women with confirmed OSA and a comparative group of 3,955 pregnant women without the diagnosis. The authors reported an increased risk of gestational hypertension (odds ratio [OR] 3.2; 95 % confidence interval [CI] 2.1–4.7) and pre-eclampsia (OR 1.6; 95 % CI 2.2–11.3) among women with OSA. OSA was also associated with an increased risk of small-for-gestational age infants (OR 1.34; 95 % CI 1.09–1.66). Several small prospective observational cohort studies utilised unattended portable monitoring to identify subjects with OSA. Those studies reported significant associations between OSA and pre-eclampsia of a similar magnitude to the study by Chen et al., but they were statistically underpowered to evaluate certain severe maternal or foetal outcomes.15,16,30,31 The small size of those investigations still leaves unanswered questions about the consequences of OSA as it relates to some other clinically relevant outcomes such as eclampsia, stillbirth and maternal mortality.32 The findings of these studies were also similar to the findings from larger studies which used symptom-based screening for SDB.

Obstructive Sleep Apnoea and Glucose Intolerance in Pregnancy
A consistent body of literature has emerged, demonstrating an increased risk of insulin resistance and diabetes associated with OSA. Individuals with OSA are more likely to develop diabetes compared with those without OSA and diabetics are more likely to have OSA compared with nondiabetics. A worsening of insulin resistance has been demonstrated to be directly related to a worsening of OSA as determined by the AHI. This relationship persisted after controlling for obesity.33,34 Therein lays the challenge. Studies of OSA are deeply confounded by the implications of obesity, particularly visceral adiposity and central obesity, which are risk factors for the development of OSA.35,36 Untreated OSA has been linked to decreased insulin sensitivity and a correlation between OSA severity and insulin resistance has been described.37–39 However, efforts to use treatment with continuous positive airway pressure (CPAP ) have demonstrated mixed results, with some studies demonstrating a beneficial effect and others failing to improve normalisation of glucose.40–44

All of these described findings have occurred in the nonpregnant population. A relationship between OSA and diabetes would have significant implications for the obstetric population. Insulin resistance and diabetes are associated with adverse pregnancy outcomes, and treatment mitigates that association.45–47 Among the reported perinatal consequences of diabetes are increased risks of foetal malformations, pre-eclampsia, macrosomia, caesarean delivery and their associated morbidities.46,48,49 Recent large, multicentre trials have demonstrated that insulin resistance and glucose intolerance even in the absence of obesity are associated with increased maternal and neonatal morbidity. That relationship is linear and without a necessarily definitive cutoff point.50,51

Then it becomes prudent to examine the available evidence about metabolic consequences of SDB. Most of the existing studies that sought to examine the relationship between OSA and insulin resistance or diabetes among pregnant women have relied largely on questionnaires. There appeared to be no significant relationship between self-reported habitual snoring and gestational diabetes.53 However, in a cohort of 990 women who completed the Epworth Sleepiness Scale, a measure of excessive daytime sleepiness, women with a score ≥16 were more likely to have a pregnancy complicated by gestational diabetes compared with women with a score ≤16.52,53 Only one study utilised pregnant women with a confirmed diagnosis of OSA. Among the studies that utilised a confirmed diagnosis of OSA, only one demonstrated an association. Outside of the case reports, there has not been a systematic investigation of SDB or OSA and diabetes among pregnant women. Very few studies have examined OSA and diabetes. In the report by Chen et al., women with OSA were more likely to have gestational diabetes (OR 1.63; 95 % CI 1.07–2.48) in the affected pregnancy.32 These conflicted findings underscore the importance for confirmatory diagnosis when attempting to ascertain the role of OSA in pregestational and gestational diabetes.

Short Sleep Duration
Short sleep duration and sleep fragmentation are significant components of OSA and may have a different physiological effect from the intermittent hypoxia. The impact of short sleep duration and fragmentation on diabetes and insulin resistance has been well documented. This presents a challenge when investigating the association between OSA and hyperglycaemia. It is uncertain if any observed effects are secondary to the short sleep duration and sleep restriction or due to the hypoxaemia of OSA.54 This is an important consideration in the obstetric population. Various changes in pregnancy will predispose to sleep fragmentation and short sleep duration. These include nocturia, foetal movement and back and pelvic discomfort that may result in frequent arousals from sleep. The studies that have examined the metabolic consequences of short sleep duration have found a more consistent impact on insulin resistance and diabetes than the studies of OSA. In a cohort study of pregnant women who underwent polysomnogram and completed questionnaires, SDB symptoms (OR 3.37; 95 % CI 1.44–8.32) and increasing nap duration (OR 1.64; 95 % CI 1.00–2.681.02) were associated with hyperglycaemia on a 1-hour glucose challenge test. However, the primary exposure measure, the AHI in the first trimester was not significantly associated with hyperglycaemia (OR 1.03; 95 % CI 0.83–1.28).55 This finding has been mirrored by other studies. In the largest of these studies, Qiu et al. conducted a pilot study where they assessed associations of maternal self-reported sleep duration and snoring during early pregnancy with gestational diabetes diagnosed using a two-step screening process. Women who reported sleeping on average 4 hours per night compared with those who slept 9 hours per night had 5.56-fold increased risk of gestational diabetes.56 These findings were mirrored in other smaller prospective studies that also sought to evaluate the correlation between short sleep duration and hyperglycaemia among pregnant women.57,58 The sum of these findings indicates that among pregnant women, the metabolic effect of short sleep duration may be similar to that observed in the nonpregnant population.

Other Mechanisms of Disease
The pathophysiological consequences of the recurrent intermittent hypoxia and sleep fragmentation associated with OSA have been well described. Chronic intermittent hypoxia and sleep fragmentation result in increased sympathetic traffic. Recurrent episodes of hypoxia and re-oxygenation activate neutrophils, and result in an increase in proinflammatory cytokines. These recurrent hypoxia and re-oxygenation cycles also generate oxidative stress.59 Leptin, which is an adipokine responsible for a negative energy balance, is noted to be correlated with the AHI, indicating that worsening OSA is associated with leptin resistance. Adiponectin is another adipokine with insulinsensitising and anti-inflammatory properties. Adiponectin levels are lowered by OSA.60,61 These biochemical derangements are important as these mechanisms have also been implicated in the development of pre-eclampsia, gestational diabetes and adverse pregnancy outcomes.62,63 Furthermore, in the absence of maternal disease, these molecular changes may impact the in utero environment and affect the future health of the neonate.

Summary
Among patients with OSA, there remains a large deficit of data to explain the mechanistic pathways by which OSA affects pregnancy outcomes. With that information, we would be able to direct treatment in order to improve outcome. Of particular importance is differentiating the impact of sleep duration independent of OSA. While there is some evidence to indicate that these women are impacted by glucose intolerance, the relationship would be more complex given the potential role of oxidative stress, cytokinaemia and sympathetic traffic. The in utero environment is important for foetal development, and programming for future health affects the future health of the neonate. Pregnancy may be an opportune time to intervene on behalf of future maternal and foetal health. However, we cannot achieve that goal unless we are able to delineate the most important pathophysiological pathways impacting pregnancy outcome in these women. The investigations of these potential routes of intervention may benefit the greater of such a community as we aim to improve both maternal and foetal outcomes.

2

References

1. James W, WHO recognition of the global obesity epidemic, Int J Obes (Lond), 2008;32:S120–S126.
2. O gden CL, Carroll MD, Prevalence of overweight, obesity, and extreme obesity among adults: United States, trends 1960–1962 through 2007–2008. NCHS Health E-Stat. Hyattsville, MD: National Center for Health Statistics; 2010. Available at: http://www.cdc.gov/nchs/data/hestat/ obesity_adult_07_08/obesity_adult_07_08.pdf (accessed 12 August 2013).
3. Flegal KM, Carroll MD, Kit BK, Ogden CL, Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010, JAMA, 2012;307(5):491–7.
4. Marshall NE, Guild C, Cheng YW, et al., Maternal superobesity and perinatal outcomes, Am J Obstet Gynecol, 2012;206(5):417–e1.
5. Stuebe AM, Landon MB, Lai Y, et al., Maternal BMI, glucose tolerance, and adverse pregnancy outcomes, Am J Obstet Gynecol, 2012;207(1):62.e61–62.e67.
6. Wang YC, McPherson K, Marsh T, et al., Health and economic burden of the projected obesity trends in the USA and the UK, Lancet, 2011;378(9793):815–25.
7. C atalano PM, McIntyre HD, Cruickshank JK, et al., The Hyperglycemia and Adverse Pregnancy Outcome Study Associations of GDM and obesity with pregnancy outcomes, Diabetes Care, 2012;35(4):780–6.
8. Quan S, Gillin JC, Littner M, Shepard J, Sleep-related breathing disorders in adults: Recommendations for syndrome definition and measurement techniques in clinical research editorials, Sleep, 1999;22(5):662–89.
9. I ber C, Ancoli-Israel S, Chesson A, Quan SF, The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications, 1st ed., Westchester, Illinois: American Academy of Sleep Medicine, 2007.
10. Jennum P, Kjellberg J, Health, social and economical consequences of sleep-disordered breathing: a controlled national study, Thorax, 2011;66(7):560–66.
11. A l Lawati NM, Patel SR, Ayas NT, Epidemiology, risk factors, and consequences of obstructive sleep apnea and short sleep duration, Prog Cardiovasc Dis, 2009;51(4):285–93.
12. Y oung T, Palta M, Dempsey J, et al., The occurrence of sleep-disordered breathing among middle-aged adults, N Engl J Med, 1993;328(17):1230–5.
13. Bixler EO, Vgontzas AN, Lin H-M, et al., Prevalence of sleep-disordered breathing in women effects of gender, Am J Respir Crit Care Med, 2001;163(3):608–13.
14. O livarez SA, Maheshwari B, McCarthy M, et al., Prospective trial on obstructive sleep apnea in pregnancy and fetal heart rate monitoring, Am J Obstet Gynecol, 2010;202(6):552. e551–552.e557.
15. L ouis J, Auckley D, Miladinovic B, et al., Perinatal outcomes associated with obstructive sleep apnea in obese pregnant women, Obstet Gynecol, 2012;120(5):1085–92.
16. Sahin FK, Koken G, Cosar E, et al., Obstructive sleep apnea in pregnancy and fetal outcome, Int J Gynaecol Obstet, 2008;100(2):141–6.
17. Higgins N, Leong E, Park CS, et al., The Berlin Questionnaire for assessment of sleep disordered breathing risk in parturients and non-pregnant women, Int J Obstet Anesth, 2011;20(1):22–5.
18. Facco FL, Ouyang DW, Zee PC, Grobman WA, Development of a pregnancy-specific screening tool for sleep apnea, J Clin Sleep Med, 2012;8(4):389.
19. Schiza SE, Bouloukaki I, Mermigkis C, Epworth Sleepiness Scale scores and adverse pregnancy outcomes, Sleep Breath, 2013:1–2.
20. C ollop N, Anderson WM, Boehlecke B, et al., Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients, J Clin Sleep Med, 2007;3(7):737–47.
21. O ’Brien LM, Bullough AS, Shelgikar AV, et al., Validation of Watch-Pat-200 against polysomnography during pregnancy, J Clin Sleep Med, 2012;8(3):287.
22. Maasilta P, Bachour A, Teramo K, et al., Sleep-related disordered breathing during pregnancy in obese women, Chest, 2001;120(5):1448–54.
23. Venkata C, Venkateshiah SB, Sleep-disordered breathing during pregnancy, J Am Board Fam Med, 2009;22(2):158–68.
24. Kapsimalis F, Kryger M, Obstructive sleep apnea in pregnancy, Sleep Med Clin, 2007;2(4):603–13.
25. Bindra A, Prabhakar H, Singh G, et al., Is the modified Mallampati test performed in supine position a reliable predictor of difficult tracheal intubation?, J Anesth, 2010;24(3):482–5.
26. Boutonnet M, Faitot V, Katz A, et al., Mallampati class changes during pregnancy, labour, and after delivery: can these be predicted?, Br J Anaesth, 2010;104(1):67–70.
27. P ilkington S, Carli F, Dakin MJ, et al., Increase in Mallampati score during pregnancy, Br J Anaesth, 1995;74(6):638–42.
28. C harbonneau M, Falcone T, Cosio MG, Levy RD, Obstructive sleep apnea during pregnancy: therapy and implications for fetal health, Am J Respir Crit Care Med, 1991;144(2):461–3.
29. Joel-Cohen S, Schoenfeld A, Fetal response to periodic sleep apnea: a new syndrome in obstetrics, Eur J Obstet Gynecol Reprod Biol, 1978;8(2):77–81.
30. Facco FL, Liu CS, Cabello AA, et al., Sleep-disordered breathing: a risk factor for adverse pregnancy outcomes?, Obstet Gynecol, 2012;67(8):459–60.
31. R eid 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.
32. C hen Y-H, Kang J-H, Lin C-C, et al., Obstructive sleep apnea and the risk of adverse pregnancy outcomes, Am J Obstet Gynecol, 2012;206(2):136.e131–136.e135.
33. P unjabi NM, Sorkin JD, Katzel LI, et al., Sleep-disordered breathing and insulin resistance in middle-aged and overweight men, Am J Respir Crit Care Med, 2002;165(5): 677–82.
34. I p MS, Lam B, Ng MM, et al., Obstructive sleep apnea is independently associated with insulin resistance, Am J Respir Crit Care Med, 2002;165(5):670–76.
35. Vgontzas AN, Papanicolaou DA, Bixler EO, et al., Sleep apnea and daytime sleepiness and fatigue: relation to visceral obesity, insulin resistance, and hypercytokinemia, J Clin Endocrinol Metab, 2000;85(3):1151–8.
36. Schäfer H, Pauleit D, Sudhop T, et al., Body fat distribution, serum leptin, and cardiovascular risk factors in men with obstructive sleep apnea, Chest, 2002;122(3):829–39.
37. O take K, Sasanabe R, Hasegawa R, et al., Glucose intolerance in Japanese patients with obstructive sleep apnea, Intern Med, 2009;48(21):1863–8.
38. P unjabi NM, Beamer BA, Alterations in glucose disposal in sleep-disordered breathing, Am J Respir Crit Care Med, 2009;179(3):235–40.
39. A ronsohn RS, Whitmore H, Van Cauter E, Tasali E, Impact of untreated obstructive sleep apnea on glucose control in type 2 diabetes, Am J Respir Crit Care Med, 2010;181(5):507–13.
40. Sharma SK, Agrawal S, Damodaran D, et al., CPAP for the metabolic syndrome in patients with obstructive sleep apnea, N Engl J Med, 2011;365(24):2277–86.
41. West SD, Nicoll DJ, Wallace TM, et al., Effect of CPAP on insulin resistance and HbA1c in men with obstructive sleep apnoea and type 2 diabetes, Thorax, 2007;62(11):969–74.
42. Shpirer I, Rapoport MJ, Stav D, Elizur A, Normal and elevated HbA1C levels correlate with severity of hypoxemia in patients with obstructive sleep apnea and decrease following CPAP treatment, Sleep Breath, 2012;16(2):461–6.
43. Weinstock TG, Wang X, Rueschman M, et al., A controlled trial of CPAP therapy on metabolic control in individuals with impaired glucose tolerance and sleep apnea, Sleep, 2012;35(5):617.
44. L am JC, Lam B, Yao T, et al., A randomised controlled trial of nasal continuous positive airway pressure on insulin sensitivity in obstructive sleep apnoea, Eur Respir J, 2010;35(1):138–45.
45. Simmons D, Diabetes and obesity in pregnancy, Best Pract Res Clin Obstet Gynaecol, 2011;25(1):25–36.
46. L andon MB, Gabbe SG, Gestational diabetes mellitus, Obstet Gynecol, 2011;118(6):1379–93.
47. Syed M, Javed H, Yakoob MY, Bhutta ZA, Effect of screening and management of diabetes during pregnancy on stillbirths, BMC Public Health, 2011;11(Suppl. 3):S2.
48. A ssociation AD, Preconception care of women with diabetes. Diabetes Care, 2004;27(Suppl. 1):S76–S78.
49. R oman MA, Preconception care for women with preexisting type 2 diabetes, Clinical Diabetes, 2011;29(1):10–16.
50. L andon MB, Spong CY, Thom E, et al., A multicenter, randomized trial of treatment for mild gestational diabetes, N Engl J Med, 2009;361(14):1339–48.
51. Test OG-T, Hyperglycemia and adverse pregnancy outcomes, N Engl J Med, 2008;2008(358):1991–2002.
52. O ’Brien LM, Bullough AS, Owusu JT, et al., Pregnancyonset habitual snoring, gestational hypertension, and preeclampsia: prospective cohort study, Am J Obstet Gynecol, 2012;207(6):487.e481–487.e489.
53. Bourjeily G, El Sabbagh R, Sawan P, et al., Epworth sleepiness scale scores and adverse pregnancy outcomes, Sleep Breath, 2013:1–8.
54. Spiegel K, Tasali E, Leproult R, Van Cauter E, Effects of poor and short sleep on glucose metabolism and obesity risk, Nat Rev Endocrinol, 2009;5(5):253–61.
55. Jackson N, Ratcliffe S, Pack A, Pien G, Sleep-disordered breathing and daytime napping are associated with maternal hyperglycemia, Sleep Breath, 2013;17(3):1093–102.
56. Qiu C, Enquobahrie D, Frederick IO, et al., Glucose intolerance and gestational diabetes risk in relation to sleep duration and snoring during pregnancy: a pilot study, BMC Women’s Health, 2010;10(1):17.
57. Facco FL, Grobman WA, Kramer J, et al., Self-reported short sleep duration and frequent snoring in pregnancy: impact on glucose metabolism, Am J Obstet Gynecol, 2010;203(2):142. e141–142. e145.
58. R eutrakul S, Zaidi N, Wroblewski K, et al., Sleep disturbances and their relationship to glucose tolerance in pregnancy, Diabetes Care, 2011;34(11):2454–7.
59. A rnardottir ES, Mackiewicz M, Gislason T, et al., Molecular signatures of obstructive sleep apnea in adults: a review and perspective, Sleep, 2009;32(4):447.
60. L am JC, Xu A, Tam S, et al., Hypoadiponectinemia is related to sympathetic activation and severity of obstructive sleep apnea, Sleep, 2008;31(12):1721.
61. Tokuda F, Sando Y, Matsui H, et al., Serum levels of adipocytokines, adiponectin and leptin, in patients with obstructive sleep apnea syndrome, Intern Med, 2008;47(21):1843–9.
62. L aresgoiti-Servitje E, Gómez-López N, Olson DM, An immunological insight into the origins of pre-eclampsia, Hum Reprod Update, 2010;16(5):510–24.
63. Bogavac M, Lakic N, Simin N, et al., Biomarkers of oxidative stress in amniotic fluid and complications in pregnancy, J Matern Fetal Neonatal Med, 2012;25(1):104–8.

3

Article Information

Disclosure

Soha Patel has no conflicts of interest to declare. Judette M Louis has provided expert witness testimony for Hutton and Hutton, LLC.

Correspondence

Judette M Louis, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, 2 Tampa General Circle Suite 6055, Tampa, FL 33606, US. E: jlouis1@health.usf.edu

Received

2013-06-18T00:00:00

4

Further Resources

Share
Facebook
X (formerly Twitter)
LinkedIn
Via Email
Mark CompleteCompleted
BookmarkBookmarked
Copy LinkLink Copied
Download as PDF
Close Popup