Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:
Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_4421_Библиотеки_им_академика_М_И_Перельмана.pdf
Скачиваний:
0
Добавлен:
30.08.2026
Размер:
63 Мб
Скачать
54
A. R. Spector and T. J. Farrer
In summary, there is a clear association between OSA and depression, with some studies demonstrating a causal relationship. Clinical samples appear to have higher reported rates of depression relative to commu­nity samples. In addition, research suggests there are moderating variables in this association, such as the presence of signicant comorbidities. Fatigue and day­time sleepiness are known to play a role in the degree of
4
depression in OSA patients, and clinicians must practice caution in differentiating depression symptoms from common OSA complaints, given the high degree of symptom overlap.

4.7 Summary

OSA is a condition with a myriad of downstream effects, including attention and executive dysfunction, learning and memory impairment, visual-spatial dysfunction, depression, and mild language impairment as well. These effects are likely due to OSA causing any com­bination of the following: cyclic oxygen desaturation, free radical formation, hypertension, dyslipidemia, insu­lin resistance, low testosterone, leptin resistance, and elevations in inammatory cytokines. These changes cause substantial real-world consequences for patients, including job loss, major depressive disorder, or even Alzheimer’s disease [96]. Attention must be paid to these oft-overlooked consequences of OSA to ensure appro­priate treatment is provided.

References

1. Ferriss JB.Obstructive sleep apnoea syndrome: the rst picture?
J R Soc Med. 2009;102:201–2.
2. Guilleminault C, Eldridge FL, Tilkian A, etal. Sleep apnea syn-
drome due to upper airway obstruction: a review of 25 cases.
Arch Intern Med. 1977;137:296–300.
3. Yesavage J, Bliwise D, Guilleminault C, etal. Preliminary com-
munication: intellectual decit and sleep-related respiratory dis-
turbance in the elderly. Sleep. 1985;8:30–3.
4. Prigatano GP, Parsons O, Levin DC, et al. Neuropsycho-
logical test performance in mildly hypoxemic patients with
chronic obstructive pulmonary disease. J Consult Clin Psychol.
1983;51:108–16.
5. Kales A, Caldwell AB, Cadieux RJ, et al. Severe obstructive
sleep apnea—II: associated psychopathology and psychosocial
consequences. J Chronic Dis. 1985;38:427–34.
6. Findley LJ, Barth JT, Powers DC, etal. Cognitive impairment in
patients with obstructive sleep apnea and associated hypoxemia.
Chest. 1986;90:686–90.
7. Greenberg GD, Watson RK, Deptula D. Neuropsychological
dysfunction in sleep Apnea. Sleep. 1987;10:254–62.
8. Roehrs T, Merrion M, Pedrosi B, et al. Neuropsychological
function in obstructive sleep Apnea syndrome (OSAS) com-
pared to chronic obstructive pulmonary disease (COPD). Sleep.
1995;18:382–8.
9. Gozal D, Daniel JM, Dohanich GP.Behavioral and anatomical correlates of chronic episodic hypoxia during sleep in the rat. J Neurosci. 2001;21:2442–50.
10. Lavie L. Oxidative stress—a unifying paradigm in obstruc­tive sleep Apnea and comorbidities. Prog Cardiovasc Dis. 2009;51:303–12.
11. Schulz R, Mahmoudi S, Hattar K, etal. Enhanced release of superoxide from polymorphonuclear neutrophils in obstructive sleep apnea. Impact of continuous positive airway pressure ther­apy. Am J Respir Crit Care Med. 2000;162:566–70.
12. Bennett S, Grant MM, Aldred S. Oxidative stress in vascu­lar dementia and Alzheimer's disease: a common pathology. J Alzheimers Dis. 2009;17:245–57.
13. Kilander L, Nyman H, Boberg M, etal. Hypertension is related to cognitive impairment. A 20-Year Follow-up of 999 Men. 1998;31:780–6.
14. Panza F, Frisardi V, Capurso C, etal. Metabolic syndrome and cognitive impairment: current epidemiology and possible under­lying mechanisms. J Alzheimers Dis. 2010;21:691–724.
15. Farkas E, De Jong GI, Apró E, et al. Calcium antagonists decrease capillary wall damage in aging hypertensive rat brain. Neurobiol Aging. 2001;22:299–309.
16. Lavie P, Herer P, Hoffstein V. Obstructive sleep apnoea syn­drome as a risk factor for hypertension: population study. BMJ. 2000;320:479–82.
17. Nieto F, Young TB, Lind BK, et al. Association of sleep­disordered breathing, sleep apnea, and hypertension in a large community-based study. JAMA. 2000;283:1829–36.
18. Viles-Gonzalez JF, Fuster V, Corti R, etal. Emerging importance of HDL cholesterol in developing high-risk coronary plaques in acute coronary syndromes. Curr Opin Cardiol. 2003;18: 286–94.
19. Wolf H, Hensel A, Arendt T, et al. Serum lipids and hippo­campal volume: the link to Alzheimer's disease? Ann Neurol. 2004;56:745–9.
20. Börgel J, Sanner BM, Bittlinsky A, et al. Obstructive sleep apnoea and its therapy inuence high-density lipoprotein cho­lesterol serum levels. Eur Respir J. 2006;27:121–7.
21. Tan KCB, Chow W-S, Lam JCM, et al. HDL dysfunction in obstructive sleep apnea. Atherosclerosis. 2006;184:377–82.
22. Strohl KP, Novak RD, Singer W, etal. Insulin levels, blood pres­sure and sleep apnea. Sleep. 1994;17:614–8.
23. IP MSM, LAM B, NG MMT, etal. Obstructive sleep apnea is independently associated with insulin resistance. Am J Respir Crit Care Med. 2002;165:670–6.
24. Peled N, Kassirer M, Shitrit D, etal. The association of OSA with insulin resistance, inammation and metabolic syndrome. Respir Med. 2007;101:1696–701.
25. Gruber A, Horwood F, Sithole J, etal. Obstructive sleep apnoea is independently associated with the metabolic syndrome but not insulin resistance state. Cardiovasc Diabetol. 2006;5:22.
26. Iiyori N, Alonso LC, Li J, etal. Intermittent hypoxia causes insu­lin resistance in lean mice independent of autonomic activity. Am J Respir Crit Care Med. 2007;175:851–7.
27. Polotsky VY, Li J, Punjabi NM, et al. Intermittent hypoxia increases insulin resistance in genetically obese mice. J Physiol. 2003;552:253–64.
28. Gasparini L, Gouras GK, Wang R, et al. Stimulation of β-amyloid precursor protein trafcking by insulin reduces Intra­neuronal β-amyloid and requires mitogen-activated protein kinase Signaling. J Neurosci. 2001;21:2561–70.
29. Zhao W-Q, Townsend M.Insulin resistance and amyloidogen­esis as common molecular foundation for type 2 diabetes and Alzheimer's disease. Biochim Biophys Acta (BBA)- Mol Basis Dis. 2009;1792:482–96.
Neurocognitive andNeuropsychological Eects ofOSA
55
4
30. Reger MA, Watson GS, Green PS, et al. Intranasal insulin improves cognition and modulates β-amyloid in early AD.Neu­rology. 2008;70:440–8.
31. Srikanth V, Maczurek A, Phan T, etal. Advanced glycation end­products and their receptor RAGE in Alzheimer's disease. Neu­robiol Aging. 2011;32:763–77.
32. de Koning EJ, Morris ER, Hofhuis FM, etal. Intra- and extra­cellular amyloid brils are formed in cultured pancreatic islets of transgenic mice expressing human islet amyloid polypeptide. Proc Natl Acad Sci. 1994;91:8467–71.
33. Bjorntorp P, Rosmond R. Neuroendocrine abnormalities in visceral obesity. Int J Obes Relat Metab Disord. 2000;24(Suppl
2):S80–5.
34. Sapolsky RM.Glucocorticoids, stress, and their adverse neuro­logical effects: relevance to aging. Exp Gerontol. 1999;34:721–32.
35. Tomfohr LM, Edwards KM, Dimsdale JE.Is obstructive sleep apnea associated with cortisol levels? A systematic review of the research evidence. Sleep Med Rev. 2012;16:243–9.
36. Li XL, Aou S, Oomura Y, etal. Impairment of long-term poten­tiation and spatial memory in leptin receptor-decient rodents. Neuroscience. 2002;113:607–15.
37. Ip MSM, Lam KSL, C-m H, etal. Serum leptin and vascular risk factors in obstructive sleep Apnea. Chest. 2000;118:580–6.
38. Moffat SD, Zonderman AB, Metter EJ, et al. Longitudinal assessment of serum free testosterone concentration predicts memory performance and cognitive status in elderly men. J Clin Endocrinol Metabol. 2002;87:5001–7.
39. Beer TM, Bland LB, Bussiere JR, et al. Testosterone loss and Estradiol administration modify memory in men. J Urol. 2006;175:130–5.
40. Gambineri A, Pelusi C, Pasquali R.Testosterone levels in obese male patients with obstructive sleep apnea syndrome: relation to oxygen desaturation, body weight, fat distribution and the meta­bolic parameters. J Endocrinol Investig. 2003;26:493–8.
41. Luboshitzky R, Lavie L, Shen-Orr Z, etal. Altered luteinizing hormone and testosterone secretion in middle-aged obese men with obstructive sleep Apnea. Obes Res. 2005;13:780–6.
42. Luboshitzky R, Aviv A, Hefetz A, et al. Decreased pituitary­gonadal secretion in men with obstructive sleep Apnea. J Clin Endocrinol Metabol. 2002;87:3394–8.
43. Atwi S, McMahon D, Scharfman H, etal. Androgen modulation of hippocampal structure and function. Neurosci Rev J Bringing Neurobiol Neurol Psychiat. 2016;22:46–60.
44. Janowsky JS.Thinking with your gonads: testosterone and cog­nition. Trends Cogn Sci. 2006;10:77–82.
45. Leranth C, Shanabrough M, Redmond DE.Gonadal hormones are responsible for maintaining the integrity of spine synapses in the CA1 hippocampal subeld of female nonhuman primates. J Comp Neurol. 2002;447:34–42.
46. Leranth C, Prange-Kiel J, Frick KM, etal. Low CA1 spine syn­apse density is further reduced by castration in male non-human primates. Cereb Cortex. 2004;14:503–10.
47. Netzer NC, Eliasson AH, Strohl KP. Women with sleep apnea have lower levels of sex hormones. Sleep Breath. 2003;7:25–9.
48. Hoyos CM, Killick R, Yee BJ, etal. Effects of testosterone ther­apy on sleep and breathing in obese men with severe obstructive sleep apnoea: a randomized placebo-controlled trial. Clin Endo­crinol. 2012;77:599–607.
49. Bixler EO, Vgontzas AN, Lin HM, etal. Prevalence of sleep­disordered breathing in women: effects of gender. Am J Respir Crit Care Med. 2001;163:608–13.
50. Spector AR, Loriaux D, Alexandru D, etal. The inuence of the menstrual phases on Polysomnography. Cureus. 2016;8:e871.
51. Yaffe K, Lindquist K, Penninx BW, etal. Inammatory markers and cognition in well-functioning African-American and white elders. Neurology. 2003;61:76–80.
52. Ryan S, Taylor CT, McNicholas WT. Selective activation of inammatory pathways by intermittent hypoxia in obstructive sleep apnea syndrome. Circulation. 2005;112:2660–7.
53. Vgontzas AN, Papanicolaou DA, Bixler EO, etal. Elevation of plasma cytokines in disorders of excessive daytime sleepiness: role of sleep disturbance and obesity. J Clin Endocrinol Metab. 1997;82:1313–6.
54. Shamsuzzaman ASM, Winnicki M, Lanfranchi P, etal. Elevated C-reactive protein in patients with obstructive sleep Apnea. Cir­culation. 2002;105:2462–4.
55. Kokturk O, Ciftci TU, Mollarecep E, etal. Elevated C-reactive protein levels and increased cardiovascular risk in patients with obstructive sleep apnea syndrom. Inter Heart J. 2005;46:801–9.
56. Engelhart MJ, Geerlings MI, Meijer J, etal. Inammatory pro­teins in plasma and the risk of dementia: the Rotterdam study. Arch Neurol. 2004;61:668–72.
57. Dimopoulos N, Piperi C, Salonicioti A, etal. Indices of low­grade chronic inammation correlate with early cognitive deterioration in an elderly Greek population. Neurosci Lett. 2006;398:118–23.
58. Umemura T, Kawamura T, Umegaki H, et al. Endothelial and inammatory markers in relation to progression of ischaemic cerebral small-vessel disease and cognitive impairment: a 6-year longitudinal study in patients with type 2 diabetes mellitus. J Neurol Neurosurg Amp Psychiat. 2011.
59. Lam S-Y, Liu Y, Ng K-M, etal. Chronic intermittent hypoxia induces local inammation of the rat carotid body via functional upregulation of proinammatory cytokine pathways. Histochem Cell Biol. 2012;137:303–17.
60. He Q, Yang QC, Zhou Q, etal. Effects of varying degrees of intermittent hypoxia on proinammatory cytokines and adi­pokines in rats and 3T3-L1 adipocytes. PLoS One. 2014;9 :e86326.
61. Ferini-Strambi L, Marelli S, Galbiati A, etal. Effects of con­tinuous positive airway pressure on cognition and neuroimaging data in sleep apnea. Int J Psychophysiol. 2013;89:203–12.
62. Canessa N, Castronovo V, Cappa SF, et al. Obstructive sleep apnea: brain structural changes and neurocognitive func­tion before and after treatment. Am J Respir Crit Care Med. 2011;183:1419–26.
63. Torelli F, Moscufo N, Garreffa G, et al. Cognitive prole and brain morphological changes in obstructive sleep apnea. Neuro­Image. 2011;54:787–93.
64. Joo EY, Jeon S, Kim ST, et al. Localized cortical thinning in patients with obstructive sleep apnea syndrome. Sleep. 2013;36:1153–62.
65. Kumar R, Birrer BV, Macey PM, et al. Reduced mammillary body volume in patients with obstructive sleep apnea. Neurosci Lett. 2008;438:330–4.
66. Castronovo V, Scifo P, Castellano A, etal. White matter integ­rity in obstructive sleep apnea before and after treatment. Sleep. 2014;37:1465–75.
67. Bucks RS, Olaithe M, Eastwood P. Neurocognitive func­tion in obstructive sleep apnoea: a meta-review. Respirology. 2013;18:61–70.
68. Vaessen TJ, Overeem S, Sitskoorn MM.Cognitive complaints in obstructive sleep apnea. Sleep Med Rev. 2015;19:51–8.
69. Aloia MS, Arnedt JT, Davis JD, et al. Neuropsychological sequelae of obstructive sleep apnea-hypopnea syndrome: a criti­cal review. J Int Neuropsychol Soc. 2004;10:772–85.
70. Lutsey PL, Bengtson LG, Punjabi NM, etal. Obstructive sleep Apnea and 15-year cognitive decline: the atherosclerosis risk in communities (ARIC) study. Sleep. 2016;39:309–16.
71. Tulek B, Atalay NB, Kanat F, et al. Attentional control is par­tially impaired in obstructive sleep apnea syndrome. J Sleep Res. 2013;22:422–9.
56
A. R. Spector and T. J. Farrer
72. Daurat A, Ricarrere M, Tiberge M. Decision making is affected in obstructive sleep apnoea syndrome. J Neuropsychol. 2013;7:139–44.
73. Arli B, Bilen S, Titiz AP, etal. Comparison of cognitive func­tions between obstructive sleep Apnea syndrome and simple snoring patients: OSAS may be a modiable risk factor for cog­nitive decline. Appl Neuropsychol Adult. 2015;22:282–6.
74. Bajaj JS, Thacker LR, Leszczyszyn D, etal. Effects of obstruc­tive sleep apnea on sleep quality, cognition, and driving perfor-
4
mance in patients with cirrhosis. Clin Gastroenterol Hepatol. 2015;13:390–7. e391.
75. Aaronson JA, van Bennekom CA, Hofman WF, et al. Obstruc­tive sleep apnea is related to impaired cognitive and functional status after stroke. Sleep. 2015;38:1431–7.
76. Beebe DW, Groesz L, Wells C, et al. The neuropsychological effects of obstructive sleep apnea: a meta-analysis of norm­referenced and case-controlled data. Sleep. 2003;26:298–307.
77. Stranks EK, Crowe SF. The cognitive effects of obstructive sleep apnea: an updated meta-analysis. Arch Clin Neuropsychol. 2016;31:186–93.
78. Olaithe M, Bucks RS.Executive dysfunction in OSA before and after treatment: a meta-analysis. Sleep. 2013;36:1297–305.
79. Kylstra WA, Aaronson JA, Hofman WF, etal. Neuropsychologi­cal functioning after CPAP treatment in obstructive sleep apnea: a meta-analysis. Sleep Med Rev. 2013;17:341–7.
80. Lau EY, Eskes GA, Morrison DL, et al. Executive function in patients with obstructive sleep apnea treated with continuous pos­itive airway pressure. J Int Neuropsychol Soc. 2010;16:1077–88.
81. Kushida CA, Nichols DA, Holmes TH, et al. Effects of con­tinuous positive airway pressure on neurocognitive function in obstructive sleep apnea patients: the Apnea positive pressure long-term efcacy study (APPLES). Sleep. 2012;35:1593–602.
82. Twigg GL, Papaioannou I, Jackson M, etal. Obstructive sleep apnea syndrome is associated with decits in verbal but not visual memory. Am J Respir Crit Care Med. 2010;182:98–103.
83. Addison-Brown KJ, Letter AJ, Yaggi K, etal. Age differences in the association of obstructive sleep apnea risk with cognition and quality of life. J Sleep Res. 2014;23:69–76.
84. Naegele B, Launois SH, Mazza S, et al. Which memory pro­cesses are affected in patients with obstructive sleep apnea? An evaluation of 3 types of memory. Sleep. 2006;29:533–44.
85. Salorio CF, White DA, Piccirillo J, etal. Learning, memory, and executive control in individuals with obstructive sleep apnea syn­drome. J Clin Exp Neuropsychol. 2002;24:93–100.
86. Baran AS, Richert AC.Obstructive sleep apnea and depression. CNS Spectr. 2003;8:128–34.
87. Sateia MJ.Neuropsychological impairment and quality of life in obstructive sleep apnea. Clin Chest Med. 2003;24:249–59.
88. Harris M, Glozier N, Ratnavadivel R, etal. Obstructive sleep apnea and depression. Sleep Med Rev. 2009;13:437–44.
89. Ohayon MM.The effects of breathing-related sleep disorders on mood disturbances in the general population. J Clin Psychiat. 2003;64:1195–200; quiz, 1274–196.
90. Sharafkhaneh A, Giray N, Richardson P, et al. Association of psychiatric disorders and sleep apnea in a large cohort. Sleep. 2005;28:1405–11.
91. Acker J, Richter K, Piehl A, etal. Obstructive sleep apnea (OSA) and clinical depression-prevalence in a sleep center. Sleep Breath. 2017;21:311–8.
92. Vandeputte M, de Weerd A.Sleep disorders and depressive feel­ings: a global survey with the Beck depression scale. Sleep Med. 2003;4:343–5.
93. Jackson ML, Stough C, Howard ME, et al. The contribution of fatigue and sleepiness to depression in patients attending the sleep laboratory for evaluation of obstructive sleep apnea. Sleep Breath. 2011;15:439–45.
94. Peppard PE, Szklo-Coxe M, Hla KM, etal. Longitudinal asso­ciation of sleep-related breathing disorder and depression. Arch Intern Med. 2006;166:1709–15.
95. Chen YH, Keller JK, Kang JH, etal. Obstructive sleep apnea and the subsequent risk of depressive disorder: a population­based follow-up study. J Clin Sleep Med JCSM Off Publicat Am Acad Sleep Med. 2013;9:417–23.
96. Pan W, Kastin AJ.Can sleep apnea cause Alzheimer's disease? Neurosci Biobehav Rev. 2014;47:656–69.
57
Diagnostic Considerations inMetabolic Disease Associated withObstructive Sleep Apnea
RaymondE.Bourey
Contents
5.1 Introduction – 58
5.2 Obesity – 59
5.3 Hypertension – 60
5.4 Diabetes Mellitus – 61
5
5.5 Fatty Liver Disease – 63
5.6 Conclusions – 64
References – 65
© Springer Nature Switzerland AG 2021 K. B. Kim et al. (eds.), Management of Obstructive Sleep Apnea, https://doi.org/10.1007/978-3-030-54146-0_5
58
R. E. Bourey
Core Message
5 Recognition and diagnosis of metabolic diseases asso-
ciated with sleep apnea is important to avoid adverse outcomes of treatment.
5 In perioperative management of OSA, associated met-
abolic diseases not only increase risk for cardiovascular events, but also increase risk for perioperative bleeding, infection, and slow wound healing.
5 To aid recognition and diagnosis of metabolic disease,
we recommend use of recent diagnostic criteria for rel-
5
evant metabolic diseases associated with sleep apnea, which include obesity, hypertension, diabetes, and liver disease.
5 Recognition and treatment of metabolic disease is
handled most efciently by a multidisciplinary sleep disorders center that makes optimal use of diagnostic and therapeutic protocols in the context of electronic health records.
especially if treatment includes physiological stress of general anesthesia and surgical procedures.
Metabolic control requires cross-talk among vari-
ous organs and signaling pathways. The relationship between OSA and metabolic disease represents a com­plex interplay among organs and tissues (see .
Fig.5.1).
In this chapter, we consider current recommenda-
tions for diagnosis of major metabolic diseases associ­ated with OSA, to include obesity, hypertension, diabetes mellitus, and fatty liver disease. Presence and severity of these closely related diseases will inuence decisions on exercise and perioperative treatment through increased risks for cardiovascular events, coagulopathy, infection, and slow wound healing.
Given the practical nature of this book, we will not
undertake exhaustive review of diagnostic criteria gen­erated by multiple organizations, but instead focus on the most recent denitions of metabolic disease that seem appropriate to practitioners of sleep medicine. To avoid redundancy, we will not cover metabolic syn-

5.1 Introduction

drome, which is not a disease, but a syndrome that vari-
ably includes all the metabolic diseases covered in this While accurate diagnosis of obstructive sleep apnea (OSA) remains the core objective of this section on diag­nostic considerations, one does not want to miss poten­tially dangerous metabolic disease associated with sleep apnea. Recognition and diagnosis of metabolic disease is important to avoid adverse outcomes of treatment,
chapter (v.i.).
This chapter also avoids entry into the debate, now fueled by thousands of publications, over effectiveness of treatment of sleep apnea to improve in metabolic con­sequences of sleep apnea, other than to simply note that improvements in associated metabolic disease reect
. Fig. 5.1 Relationships
among obstructive sleep apnea, obesity, hypertension, diabetes mellitus, steatohepatosis, and dyslipidemia
Dyslipidemia
Hypertension
Sleep apnea
Elevated sympathetic nervous
system activity
Stress hormones
Hypoxemia
Vascular resistance
Inammation
Elevated venous pressure
Insulin resistance
Diabetes
mellitus
or
prediabetes
Obesity
Fatty liver
disease
Diagnostic Considerations inMetabolic Disease Associated withObstructive Sleep Apnea
59
5
sufcient effectiveness of treatment over sufcient time. Treatment of sleep apnea is covered in parts III and IV of this book.
This chapter underscores recommendations for a multidisciplinary team in diagnosis and treatment of patients with OSA. Potential consequences of associ­ated metabolic diseases will affect development and implementation of the treatment plan and the team should include individuals familiar with diagnosis and treatment of those diseases.

5.2 Obesity

Obesity, a disease of epidemic proportions in the United States and other industrialized countries, carries a close relationship to sleep apnea and other metabolic disease. Obesity can cause or exacerbate sleep apnea. In a rein­forcing cycle, disruption of sleep due to sleep apnea (or any cause) can lead to weight gain and obesity [13]. Not surprisingly, treatment of obesity can lead to improve­ment in sleep apnea [46] and conversely, treatment of sleep apnea associates with early improvement in intra­abdominal fat mass, if not the total amount of adipose tissue [7, 8]. Although continuous positive airway pres­sure(CPAP) therapy can initially be associated with a disconcerting increase in mass, perhaps due to vascular relaxation and blood volume expansion, therapy seems important to subsequent success at weight loss [9]. As with other metabolic disease associated with sleep apnea, we should recognize not only the high prevalence of obesity in patients with sleep apnea, but also the high prevalence of sleep apnea in patients with obesity.
Obesity is now generally recognized as a disease [10], although some denitions of obesity include a somewhat circular denition that obesity must cause a second dis­ease process, such as arthritis, diabetes mellitus, or sleep apnea. This requirement for comorbidity often makes the diagnosis of obesity somewhat redundant to other metabolic disease, but we believe diagnosis of obesity is important to care of patients with sleep apnea, as obe­sity and severity of obesity can be used as a marker of
risk for hypoventilation and general anesthesia. Further, it is often used by third-party payers to justify payment for diagnostic and therapeutic procedures.
Patients with body mass index (BMI) of 30 or more are generally considered obese and patients with BMI of greater than 40kg/m2 are considered morbidly obese. Although this might be all that is needed for current requirements by third-party payers, a more physiologi­cal denition that includes markers of central adipos­ity and comorbidity is needed to rene diagnosis and therefore potential therapies.
The American Association of Clinical Endocrinology has dedicated signicant resources to better dene obe­sity in patients who warrant therapy. Recently published guidelines include both an anthropometric component and a clinical (associated disease) component to better identify patients who will benet from therapy [11]. In this denition, the anthropometric component of the diagno­sis of obesity is generally provided by BMI >30 kg/m
2
with evidence for obesity provided by a waist measure­ment of 102cm (40 inches) for men in the United States or 88cm (35 inches) for women, or BMI >35. I note that among untrained personnel, measurement of waist cir­cumference can be problematic, as most patients with cen­tral obesity do not technically have a waist when dened as a narrowing between chest and hips. In this context, I recommend no measurement of waist circumference except in athletes in whom a diagnosis of obesity is inap­propriate and a waist or narrowing is easily identied.
Tip
Measurement of waist circumference in patients
without an identiable waist or narrowing between
chest and hips is problematic, and should be avoided.
Absence of an identiable waist should be sufcient
evidence for adiposity.
See . Table5.1 for a working denition of obesity and staging of obesity based upon these guidelines.
. Table 5.1 Diagnosis of obesity with adiposity based on AACE denitions [11]
Diagnostic categories No obesity Stage 0 Stage 1 Stage 2
Risk stratication None Mild to moderate Severe
Anthropometric diagnosis
Clinical diagnosis (list of complications)
BMI<25kg/m
2
BMI=25–29.9kg/m2overweight BMI30kg/m2obesity Evidence for excess adiposity
No complications
One or more mild–moderate complications
One severe complication or requires signicant weight loss to treat
60
R. E. Bourey
. Table 5.2 Diagnosis of obesity
Anthropometric component Clinical component
BMI25kg/m or (BMI23kg/m in certain ethnicities) AND excess adiposity
5
2
2
Obstructive sleep apnea
Gastroesophageal reux
Asthma/restrictive airway disease
Hypoventilation
Hypertension
Prediabetes
Diabetes type 2
Fatty liver disease
Dyslipidemia
Cardiovascular disease
Polycystic ovarian syndrome
Female infertility
Male hypogonadism
Osteoarthritis
Depression/anxiety
A strong relationship between hypertension and sleep apnea has long been recognized and formally reported since the early 1970s [12, 13]. As with other metabolic disease associated with sleep apnea, we need to recognize not only the high prevalence of hyperten­sion in patients with sleep apnea [1416], but also the high prevalence of sleep apnea in patients with hyper­tension [17, 18].
In the course of preparation of this chapter, the American Heart Association released an updated clinical practice guideline blood pressure [19]. Unlike the 2014 guidelines from the Joint National Commission, which dropped mention of sleep apnea or any other sleep dis­order in relation to management of hypertension, these guidelines have reinstated recommendations for evalua­tion and treatment of sleep apnea, with the caveat that current data studies have demonstrated mixed results and that treatment of sleep apnea might not reduce car­diovascular disease risk.
As with all metabolic disease, early recognition and treatment can prevent progression and irreversible com­plications. Analogous to overweight and prediabetes, recommendations for hypertension have decreased the blood pressure at which treatment is recommended. The current categorization is seen in .
Table5.3.
The diagnosis is based on accurate measurement of blood pressure in the ofce using rst and fth Korotkoff sounds to establish systolic and diastolic blood pressure,
The clinical component needed for staging of obesity
consists of identication of an associated metabolic or
and/or use of an automated, validated, and calibrated home device.
mechanical problem as listed in . Table5.2.
Once the diagnosis of obesity is made, it should be graded by severity and included in the problem list to guide decisions as regards pulmonary function tests and tests for hypoventilation at rest or during sleep. I note that by this denition, all patients with BMI >35kg/m2 with severe sleep apnea have stage 2 obesity, and no fur­ther evaluation is required to add this diagnosis to the list of related problems that will need to be addressed in
Tip
It is our opinion that 24-hour blood pressure moni­toring should be considered for all patients with obstructive sleep apnea, but especially for those with variably normal, elevated, or stage I hypertension or those with unexplained left ventricular hypertrophy.
treatment of sleep apnea.

5.3 Hypertension

Hypertension is a consequence of multiple metabolic and subsequent hormonal and nervous system changes that occur with obstructive sleep apnea. Recognition of hypertension during evaluation of the patient with sleep apnea becomes important during therapy to reduce risks of cardiovascular events, which can be further increased by some medications for obesity, general anesthesia, and perioperative stress. Accurate diagnosis and staging of hypertension allow specic treatment plans to reduce these risks.
For all patients with elevated blood pressure or hyper­tension, screening for secondary hypertension such as obstructive sleep apnea and nonpharmacological intervention is recommended. In addition to obstruc­tive sleep apnea, consideration should also be given to measurement of potassium and screening for renal vas­cular disease, aldosteronism, coarctation of the aorta, or endocrine disease. If the diagnostic team does not include an endocrinologist or other specialist in second­ary hypertension, then consideration should be given to referral.
Medications that cause hypertension are commonly
used in patients with obstructive sleep apnea; these
Diagnostic Considerations inMetabolic Disease Associated withObstructive Sleep Apnea
. Table 5.3 AHA denition of normal blood pressure, elevated blood pressure and Stages 1, 2,
and 3 hypertension (c.f. [19])
>100 Stage 2 Stage 2 Stage 2 Stage 2 Stage 2
90–99 Stage 2 Stage 2 Stage 2 Stage 2 Stage 2
80–89 Stage 1 Stage 1 Stage 1 Stage 2 Stage 2
<80 Normal Elevated Stage 1 Stage 2 Stage 2
Diastolic BP mm Hg
<120 120–129 130–139 140–159 >160
Systolic BP mm Hg
61
5
Pharmacological treatment with cardiovascular disease (CVD) or estimated 10-year risk for
CVD >10%
Pharmacological treatment with estimated 10-year risk for cardiovascular disease <10%
include not only self-medication with alcohol, caffeine, nonsteroidal anti-inammatory medication, or nonpre­scription stimulants such as methamphetamine, but also prescribed medications that include amphetamines for treatment of attention decit disorder, pseudoephedrine as a decongestant, and antipsychotics or antidepres­sants including high-dose serotonin noradrenaline reup­take inhibitor (SNRIs).
Evaluation of hypertension consists not only of good history and physical, but also basic blood testing to include glucose, metabolic panel, lipid prole, creati­nine, electrolytes, thyroid-stimulating hormone (TSH), urinalysis, electrocardiogram, and perhaps echocardio­gram.
Pharmacological treatment of hypertension is gen­erally considered reasonable when the patient meets a combination of elevated mean blood pressure and a measure of cardiovascular risk; see . Table5.3.
We note that recent guidelines for diagnosis and treatment of hypertension include recommendation for care by multidisciplinary team members to include nephrologists, endocrinologists, cardiologists, pharma­cists, etc. In the computer era, the sleep disorders center can easily institute electronic health record-driven test­ing and treatment protocols for hypertension and meta­bolic disease in collaboration with these specialists. This is important as treatment of one metabolic disease often leads to improvement in others. For example, treatment
of hypertension improves blood ow and thereby insu­lin resistance, and it is generally recognized that any therapy for blood pressure (outside of thiazide diuret­ics and beta-adrenergic receptor antagonists, which decrease glucose-stimulated insulin release) will improve insulin action and decrease progression of prediabetes to diabetes.

5.4 Diabetes Mellitus

The relationship among insulin resistance, diabetes mellitus, and obstructive sleep apnea is well known. Prevalence of diabetes among patients with sleep apnea is proportional to severity of sleep apnea and has been most recently reported between 16% in a European group of 6442 patients with OSA [20] and 30% in a multiethnic group of 745 consecutive patients with OSA, at an urban medical center in the United States [21]. Prevalence of sleep apnea in patients with diabetes has been less well studied, and has been lim­ited to home apnea testing, a less specic test at low apnea–hypopnea index (AHI). Results range from 36% in La Jolla (AHI>15) [22] to 87% in the multicenter Sleep AHEAD trial (AHI>5) [23]. Ethnic differences in the prevalence of sleep apnea among patients with diabetes seem to be explained more by obesity than diabetes [24].
62
R. E. Bourey
Obstructive sleep apnea activates a cascade of meta­bolic changes that can contribute to diabetes mellitus including hypertension, sympathetic nervous system activation, and elevated cortisol that in turn cause resis­tance to insulin action and accelerate gluconeogenesis. In susceptible individuals, this causes metabolically mediated, type 2 diabetes mellitus (T2DM).
Coordination between dedicated centers for both sleep medicine and metabolic disease is necessary to suc­cessful care. A recent study [25] underscored not only the
5
high prevalence of undiagnosed sleep apnea in patients with T2DM, but also the problems encountered in the absence of specialists in sleep medicine. Although 90% of patients with T2DM screened by questionnaire for sleep apnea had sleep with high risk of apnea, only 29% agreed to test after contact from a large, primary care clinic. Of this group of 213, 91% had OSA on the basis of predominantly home testing (AHI>5), but only two­thirds agreed to trial therapy, that is, only one of every six patients thought to have sleep apnea agreed to a trial of treatment [25]. Discussion of results and education of patients to risks and benets of their decisions should always be handled by a team that is trained and experi­enced in sleep medicine.
Although this section deals with metabolically medi­ated, T2DM, I should note a potential relationship among obesity, sleep apnea, and autoimmune-medi-
. Table 5.4 ADA criteria for diagnosis of diabetes [28]
Tests to establish the diagnosis of diabetes Repeat test or use a different test to conrm
Oral glucose tolerance test
Hemoglobin
Fasting plasma glucose
Hyperglycemic crisis
A1C
2-h PG 200mg/dL (11mM)
6.5% (48mmol glc/mol hb).
FPG 126mg/dL (7.0mM).
Random plasma glucose 200mg/dL (11mM).
Notes
Oral glucose tolerance test with 75g glucose in water in the morning after a fast with glucose measured at 0, 60, and 120minutes
The test should be performed in a laboratory using a method that is NGSP-certied and standardized to the DCCT assay
Fasting is dened as no caloric intake for 8hours, though it should be noted that sham feeding can result in insulin release and caffeine can cause gluconeogenesis
Must be associated with classic symptoms of hyperglycemia or hyperglycemic crisis
ated type I diabetes mellitus (T1DM). The incidence of T1DM is increasing worldwide [26]. Whether this increase in incidence is related to a higher incidence of preclinical autoimmunity or faster progression to dia­betes after development of autoimmunity is not clear. Rise in T1DM has stimulated speculation that insulin resistance and obesity might modulate autoimmunity. A
patient to be fasting, is more convenient than a 2-hour oral glucose tolerance test, and is less dependent on the patient’s health status at the time of testing. The follow­ing caveats should be acknowledged [30].
recent meta-analysis supports the association between childhood obesity and subsequent T1DM [27].
The diagnosis of diabetes mellitus and related hyper­glycemia is important to trigger evaluation for micro­vascular and macrovascular complications that can complicate therapy. From a surgical perspective, diag­nosis of diabetes mellitus should not be missed, lest one has the diagnosis forced upon him in the postop­erative period, incurring a higher risk of infection and slow wound healing, and necessitating a scramble for resources to immediately control glucose and train a naïve, post-operative patient for high intensity care at home.
Tip
5 HbA1C should not be considered the primary cri-
terion for diagnosis of diabetes. Conrmation with another test is recommended.
5 HbA1C may be misleading in several ethnic popu-
lations (for example, African–American patients).
5 HbA1C may be misleading in the setting of vari-
ous hemoglobinopathies, iron deciency, hemolytic anemias, thalassemias, spherocytosis, and severe hepatic and renal disease.
Criteria used for the diagnosis of diabetes by the American Diabetes Association [28] are relatively straight forward (See . often cut corners and diagnosis of diabetes is missed. For example, over-reliance on Hb of patients with diabetes mellitus [29, 30].
The use of A1C for the diagnosis of diabetes has several advantages. Such testing does not require the
Table 5.4), but practitioners
, will miss 20-50%
A1C
As with other metabolic disease, once the diagnosis of diabetes or prediabetes is established, patients should be referred to a multidisciplinary specialty clinic to educate the patient- and design-specic therapy. Centers accredited by the American Diabetes Association or the American Association of Diabetes Educators have the added advan-
()
()
..
*-
()
()
Diagnostic Considerations inMetabolic Disease Associated withObstructive Sleep Apnea
63
5
tage of payment from third-party payers such as Medicare for these services. These centers may include nurse educa­tors, registered dietitians, exercise physiologists, physical therapists, pharmacists, psychologists, social workers, and physicians. Administrators should appreciate that from an institutional perspective, certied centers for diabetes edu­cation can be used also for comprehensive and efcient treatment of obesity, hypertension, steatohepatitis, dyslip­idemia, and other metabolic disease.

5.5 Fatty Liver Disease

Fatty liver disease occurs when pathological deposi­tion of fat in the liver leads to metabolic dysfunction, inammation, brosis, and cirrhosis. It has emerged as the major cause of cryptogenic cirrhosis and is currently the second most common indication for addition to the transplant wait-list in the United States [31]. It is the leading cause of chronic liver disease and occurs in at least two-thirds of patients with obesity [32]. Like other metabolic disease, prevalence and severity worsen with sleep apnea [3335]. We note that severity of sleep apnea associates with severity of non-alcoholic fatty liver dis­ease (NAFLD) even in patients without obesity [36] or metabolic syndrome [36].
Fatty liver disease, also referred to as non-alcoholic fatty liver disease (NAFLD), constitutes a spectrum of disease from benign, reversible hepatosteatosis to chronic non-alcoholic steatohepatitis (NASH) and cir­rhosis. Fat deposition contributes to inammation of the liver (steatohepatitis) and subsequent brosis or cir­rhosis. The process is accelerated by liver insulin resis­tance [37].
Although much of the literature focuses on the rela­tionship of OSA to non-alcoholic fatty liver disease, it is our impression that much of the fatty liver seen in our sleep disorders center has a contribution from alcohol consumption, past or present. We must remember, alco­hol consumption can exacerbate NAFLD at even low levels of consumption [38]. Many patients with obstruc­tive sleep apnea have concurrent insomnia, which they self-treat with alcohol. Historical screening for alcohol consumption is an important step in diagnostic and therapeutic considerations for fatty liver.
Alcohol consumption is an important diagnostic consideration, especially when one considers its effect
on perioperative metabolism of anesthetics as well as risk of bleeding associated with decreased synthesis of coagulation factors, thrombocytopenia, and effects of alcoholic disease on platelet function. In our clinic, all patients with sleep apnea are instructed on the relation­ships among alcohol, sleep apnea, and metabolic dis­ease, and are reminded not to drink alcohol until these problems are fully addressed.
Tip
Fatty liver disease in sleep apnea often associates with a history of alcohol consumption. Patients should be instructed to avoid alcohol until metabolic problems and sleep apnea are fully addressed.
Development of diagnostic tools for both early develop­ment of NAFLD and NASH with brosis and cirrho­sis are rapidly evolving. MR proton density fat fraction (PDFF) has become the gold standard for liver fat quan­tication and liver biopsy remains the gold standard for brosis. We have, however, fairly good tests to screen for likelihood of fatty liver or brosis based on commonly measured anthropometric and serological variables including aspartate amino transferase (AST), gamma­glutamyl transferase (GGT), alanine amino transferase (ALT), and platelet content (PLT). (See . Table5.5).
As PDFF and liver biopsy cannot be performed uni­versally, we have selected some screening tests that can be easily programmed into an electronic health record (EHR) using simple eld codes, to calculate risk for NAFLD or NASH, and thereby add these diagnoses to the list of problems to address in therapy. Although the emphasis has drifted away from quantifying liver fat because the amount of the fat in the liver is not related to liver-related outcomes, in the context of sleep apnea and related metabolic disease, we continue to recom­mend screening for risk of hepatosteatosis or NAFLD, as this is a potentially reversible problem and treat­ment can lead to prevention of irreversible brosis and cirrhosis.
For assessment of risk for fatty liver, we recommend either Fatty liver index (FLI) or the NAFLD liver fat score (NAFLD-LFS). FLI is given by the following cal­culation:
loge triglycerides BMIloge GGT
*
0 953 0 139 0 718 0....
e
FLI
=
1
+
loge triglyceride
.
0 953
*
e
+*+*
ssBMI loge ggt waist circumference
()
+*+*
+
waistcircumference
053 15 745
+* -0 139 0 718 0 053 1.. . 55 745
()
100
*
.