Sleep and Breathing

, Volume 16, Issue 2, pp 527–534 | Cite as

Head-and-neck paragangliomas are associated with sleep-related complaints, especially in the presence of carotid body tumors

  • Bas Havekes
  • Florine Kastelein
  • Agatha A. van der Klaauw
  • Nicolette van Duinen
  • Jeroen C. Jansen
  • Jan W. A. Smit
  • Klaas W. van Kralingen
  • Annette H. J. T. Vriends
  • Johannes A. Romijn
  • Eleonora P. M. Corssmit
Open Access
Original Article

Abstract

Objectives

The carotid body functions as a chemoreceptor. We hypothesized that head-and-neck paragangliomas (HNP) may disturb the function of these peripheral chemoreceptors and play a role in sleep-disordered breathing.

Design

This is a case–control study.

Setting

This study was conducted in a tertiary referral center.

Participants and main outcome measures

We assessed fatigue, sleep, and exercise capacity in 74 HNP patients using three questionnaires (Epworth Sleepiness Scale, St. George Respiratory Questionnaire, and a standard clinical sleep assessment questionnaire). Outcomes were compared to those of age- and sex-matched controls.

Results and conclusions

Activity, disturbance of psychosocial function, and total score were worse compared to controls (15.4 ± 18.5 vs. 7.2 ± 9.9, P = 0.007; 5.3 ± 10.5 vs. 1.2 ± 2.6, P = 0.008; and 10.4 ± 12.9 vs. 5.0 ± 4.8, P = 0.006, respectively). Patients reported more daytime fatigue, concentration difficulties, and depression (51% vs. 24%, P = 0.006; 31% vs. 10%, P = 0.010; and 19% vs. 2%, P = 0.012). Waking up was reported to be less refreshing in HNP patients (53% vs. 73%, P = 0.038). Dysphonia was a predictor of symptoms, activity, disturbance of psychosocial function, and total scores. Remarkably, the presence of a carotid body tumor was an independent predictor of increased daytime sleepiness (β = 0.287, P = 0.029). In conclusion, patients with HNP have remarkable sleep-related complaints. Especially the presence of carotid body tumors appears to be associated with increased daytime somnolence.

Keywords

Paraganglioma Glomus tumors Carotid body tumor Sleep SDHD mutation 

Abbreviations

HNP

Head-and-neck paraganglioma

CBT

Carotid body tumor

ESS

Epworth Sleepiness Scale

SGRQ

St. George Respiratory Questionnaire

SCAQ

Standard clinical assessment questionnaire

Introduction

Head-and-neck paragangliomas (HNP) are highly vascularised tumors originating from neural crest-derived chief cells of the paraganglia belonging to the autonomic nervous system and are also known as glomus tumors. One of the paraganglia in the neck is the carotid body which normally functions as a peripheral chemoreceptor by registering the arterial oxygen and carbon dioxide (CO2) concentration [1, 2, 3, 4, 5, 6, 7]. HNP are most frequently found in the carotid body region and this subset of paragangliomas is called carotid body tumors (CBT). Paragangliomas can occur in a hereditary context. Familial paraganglioma syndromes are associated with germline mutations in the genes encoding the B, C, and D subunits of mitochondrial complex II succinate dehydrogenase (SDH). These SDH genes may behave as tumor suppressor genes [8, 9, 10]. Among these three genes, mutations in SDH-D subunit are the most prominent cause of HNP [11, 12, 13, 14].

Although these tumors are usually benign, the location of HNP in close proximity to nerves and vasculature can result in considerable morbidity. Patients often complain of progressive dysphagia, dysphonia, and hearing loss. We recently found that quality of life (QoL) parameters, assessed by validated questionnaires, are reduced in paraganglioma patients [15]. These patients frequently reported fatigue, reduced exercise tolerance, and impaired sleep. This disturbed sleep is of interest since the metabolic ventilatory control system is fine-tuned by two sets of chemoreceptors, the peripheral chemoreceptors in the carotid bodies and the central CO2 chemoreceptors in the ventral medulla. Bilateral dysfunction of carotid body chemoreceptors causes an abolition of the ventilatory response to hypoxia under normocapnic conditions [16, 17]. The permanent absence of the breathing response to hypoxia and the reduction of central CO2 sensitivity after bilateral carotid body resection may worsen sleep-disordered breathing [18]. Therefore, the aim of the present study was to specify sleep-related complaints in paraganglioma patients, especially in those with carotid body tumors, using three questionnaires: Epworth Sleepiness Scale (ESS), St. George Respiratory Questionnaire (SGRQ), and a third questionnaire that ensured a standardized clinical assessment of these sleep-related complaints. Patient outcomes of fatigue, sleep, and exercise capacity parameters were compared with an age- and sex-adjusted control group.

Patients and methods

Study protocol

Consecutive patients were recruited from the outpatient clinic of the department of endocrinology in the Leiden University Medical Center, which is a tertiary referral center for HNP. A total of 105 consecutive patients with HNP were asked to participate in this study. The three questionnaires were sent to their homes in prepaid envelopes. Nonresponders were encouraged by phone to complete and return the questionnaires. Each patient was asked to provide a control person of comparable sex and age. In addition, for every patient, one age- and sex-matched control subject was derived from a database containing results of similar questionnaires in healthy controls in our center [19]. The medical ethics committee of the Leiden University Medical Center approved the study protocol.

Study parameters

Primary study parameters were the results of the three questionnaires. The results were linked to characteristics (age and gender) of the patients; the presence of carotid body tumors, number, size estimate, and location of HNP; surgical procedures; and clinical data. Tumor size was estimated by using the product of the two largest diameters on previous MRI, and patients were subsequently divided into two groups. As a cutoff value in tumor size estimate, we used 8 cm2.

Sleep questionnaires

Epworth Sleepiness Scale

The ESS is a validated self-administered questionnaire that has been proposed as a method for measuring daytime sleepiness in adults. The subject is asked to rate on a scale of 0 to 3 the chances he/she would doze in each of eight different situations that are commonly met in daily life (0 = would never doze, 3 = high chance of dozing). The ESS score is the sum of the eight items score and can range from 0 to 24. The normal range of ESS scores is 2–10 with a normal distribution. A score of 10 or more is considered increased [20, 21].

St. George Respiratory Questionnaire

The SGRQ is a validated self-administered questionnaire that has been proposed as a method for measuring health-related quality of life in chronic respiratory patients. It contains 50 items divided into three subscales: symptoms (8 items), activity (16 items), and disturbance of psychosocial function (26 items). Each item in the questionnaire has a weight attached, which provides an estimate of the distress associated with the symptom or state described. A score can be calculated for each subscale of the SGRQ, and also an overall score can be calculated. SGRQ scores range from 0 to 100, 0 score indicating no impairment of quality of life. A four-point change in SGRQ is considered a clinically significant difference [22].

Standard clinical assessment questionnaire

This questionnaire is frequently used in our hospital as a tool in clinical practice and research. Studies using this questionnaire have been published in peer-reviewed journals [23]. The standard clinical assessment questionnaire (SCAQ) may be used to screen patients for diseases which cause daytime sleepiness like: obstructive sleep apnea syndrome, depression, and restless legs syndrome. The SCAQ contains 12 yes/no items about snoring, loud and irregular snoring, environmental complaints about snoring, apnea, history of cardiovascular disease or hypertension, daytime sleepiness, refreshed when waking up, daytime fatigue, concentration difficulties, dyspnea or restless legs at night, and feelings of depression. In addition, three items on the assessment of bedtime, sleep onset, and rising time are present. Sleep duration and midsleep (clock time halfway during sleep duration) are calculated from sleep onset and rising time.

Statistics

SPSS for Windows version 12.0 (SPSS Inc., Chicago, IL) was used for data analysis. Data are expressed as percentages or as mean ± SD. We used chi-squared tests, unpaired T tests to compare patient and control data, and one-way analysis of variance (ANOVA) to compare several subgroups of patients, when appropriate. Independent variables affecting ESS and SGRQ scores were assessed by using linear regression analysis. These results were expressed as standardized β of independent predictive values. P < 0.05 was considered significant.

Results

Patients and controls

A total of 76 of 105 patients (72%) returned the questionnaires, 2 of whom preferred not to participate (Table 1). Thus, 74 completed questionnaires were received (70%). The patient group (53% men) had a mean age of 49 ± 12 years. No significant differences in age, gender, and number of paragangliomas were found between the study population and the patients who did not return or complete the questionnaires.
Table 1

Characteristics of head-and-neck paraganglioma patients and controls

 

Paraganglioma (n = 74)

Controls (n = 41)

Leiden controls (n = 74)

Age (years)

 

49.1 ± 12.2

45.0 ± 11.4

52.2 ± 8.9

Sex (male/female)

 

39/35

18/23

39/35

Height (m)

Male

1.79 ± 0.06

  

Female

1.67 ± 0.08

  

Weight (kg)

Male

83 ± 14

  

Female

67 ± 12

  

Body mass index

Male

26 ± 4

  

Female

24 ± 5

  

1 glomus tumor

 

29 (40%)

  

2 glomus tumors

 

17 (23%)

  

≥3 glomus tumors

 

27 (37%)

  

CBT without other GT

 

29 (40%)

  

Bilateral CBT without other GT

 

8 (11%)

  

Hearing loss

 

26 (40%)

  

Tinnitus

 

22 (34%)

  

Dysphonia

 

12 (18%)

  

Dysphagia

 

16 (25%)

  

Patients tested for mutation

 

51 (69%)

  

SDH-D subunit (D92Y) mutation

 

49 (66%)

  

Of the paraganglioma patients, 40% had one glomus tumor, 23% had two glomus tumors, whereas 37% was diagnosed with three or more tumors. Carotid body tumors were found in 85% of the patients and more than half of these patients had been operated at some point during follow-up. In 40% of HNP patients, one or more carotid body tumors were apparent without the presence of other glomus tumors. In our study population, eight of these patients had bilateral carotid body tumors (11%). Sixty-one percent was classified as the larger tumor size estimate group. Intra-adrenal paragangliomas (pheochromocytomas) had previously been identified in 11 patients, whereas 2 patients were diagnosed with an extra-adrenal paraganglioma.

Complaints of hearing loss and tinnitus were present in 40% and 34% of the patients, respectively. Dysphonia was present in 18% the patients, and dysphagia was reported by 25% of the patients. Genetic analysis had been performed in 51 of 74 patients (69%). In 49 of these patients, an SDHD mutation was found (96%).

The 76 patients who returned the questionnaires provided 41 controls (54%). The control group (46% men) had a mean age of 45 ± 11 years. There were no significant differences in mean age and sex between patients and controls. For every patient one age- and sex-matched control subject was found in the database to create the larger control group (Leiden controls). The Leiden control group (53% men) had a mean age of 52 ± 9 years.

Sleep-related complaints in patients with HNP

Epworth Sleepiness Scale

No significant difference in daytime sleepiness was present between the group of HNP patients as a whole and the control group on the Epworth Sleepiness Scale (Table 2).
Table 2

Results of questionnaires in head-and-neck paraganglioma patients

 

Paraganglioma (n = 74)

Controls (n = 41)

P value

Leiden controls (n = 74)

P value

ESS

 Total score

6.1 ± 4.1

5.7 ± 3.9

0.555

5.1 ± 3.5

0.092

 Total score ≥10

21%

20%

0.867

12%

0.158

SGRQ

 Symptoms score

17.1 ± 19.3

12.2 ± 13.5

0.128

  

 Activity score

15.4 ± 18.5

7.2 ± 9.9

0.007*

  

 Disturbance of psychosocial function

5.3 ± 10.5

1.2 ± 2.6

0.008*

  

 Total score

10.4 ± 12.9

5.0 ± 4.8

0.006*

  

SCAQ

 Snoring

66%

54%

0.203

68%

0.816

 Loud and irregular snoring

37%

35%

0.865

33%

0.637

 Complaints of environment

30%

30%

0.988

29%

0.881

 Apnea

16%

10%

0.423

8%

0.176

 Cardiovascular disease or hypertension

45%

24%

0.032*

37%

0.348

 Daytime sleepiness

39%

25%

0.137

27%

0.127

 Waking up refreshed

53%

73%

0.038*

74%

0.010*

 Daytime fatigue

51%

24%

0.006*

28%

0.006*

 Concentration difficulties

31%

10%

0.010*

7%

0.000*

 Waking up at night by dyspnea

14%

0%

0.014*

5%

0.092

 Restless legs

34%

12%

0.012*

22%

0.098

 Feeling depressed

19%

2%

0.012*

4%

0.005*

 Sleep onset

23:28 ± 0:50

23:21 ± 0:54

0.531

23:35 ± 0:58

0.390

 Sleep duration

7:18 ± 1:06

7:14 ± 0:58

0.764

7:24 ± 0:58

0.517

 Midsleep

3:06 ± 0:42

2:58 ± 0:38

0.317

3:18 ± 0:44

0.116

 Rising time

6:44 ± 0:56

6:35 ± 0:41

0.410

7:00 ± 0:48

0.058

ESS Epworth Sleepiness Scale, SGRQ St. George Respiratory Questionnaire, no Leiden controls available for SGRQ, SCAQ standard clinical assessment questionnaire

*P < 0.05

St. George Respiratory Questionnaire

The scores on three of the four subscales of the SGRQ were significantly increased in HNP patients. Activity, disturbance of psychosocial function, and total score were worse in patients compared to own controls (15.4 ± 18.5 vs. 7.2 ± 9.9, P = 0.007; 5.3 ± 10.5 vs. 1.2 ± 2.6, P = 0.008; and 10.4 ± 12.9 vs. 5.0 ± 4.8, P = 0.006). No difference was found in symptom scores. For this questionnaire we did not have an extended control group to include in our analyses, therefore these data are missing in Table 2.

Standard clinical assessment questionnaire

On the standard sleep questionnaire, patients reported more daytime fatigue, concentration difficulties, and symptoms of depression (51% vs. 24%, P = 0.006; 31% vs. 10%, P = 0.010; and 19% vs. 2%, P = 0.012, respectively). They also woke up less refreshed compared to both own controls and the extended control group (53% vs. 73%, P = 0.038 and 53% vs. 74%, P = 0.010, respectively). Dyspnea, restless legs, and history of cardiovascular disease or hypertension were increased as compared to the own control group (14% vs. 0%, P = 0.014; 34% vs. 12%, P = 0.012; and 45% vs. 24%, P = 0.032, respectively). However, in comparison to the Leiden control group, no differences were found. The percentage of patients with snoring, apnea, and daytime sleepiness was not significantly different in HNP patients compared to controls. Sleep onset, sleep duration, midsleep, and rising time were also reported equally.

Factors influencing daytime sleepiness in patients with HNP

Age

No significant correlations were found between age and ESS scores or between age and SGRQ scores. Age did increase complaints of dyspnea at night (β = 0.572, P = 0.024).

Gender

There were no significant correlations between gender and ESS scores or between gender and SGRQ scores. Women reported significantly more complaints of daytime fatigue and restless legs at night in the clinical assessment questionnaire (65% vs. 38%, P = 0.025 and 46% vs. 23%, P = 0.040, respectively). Men reported sleep apnea more often (29% vs. 0%, P = 0.001).

Dysphonia

Dysphonia was present in 18% of the patients. Dysphonia could not be related to a change in ESS scores. However, on the SGRQ, patients with dysphonia had worse symptoms, disturbance of psychosocial function, and total scores (31.8 ± 22.9 vs. 12.7 ± 16.6, P = 0.002; 12.8 ± 17.7 vs. 3.9 ± 8.6, P = 0.029; and 21.2 ± 21.7 vs. 8.4 ± 10.3, P = 0.010, respectively).

Number and estimated size of paragangliomas

Sixty percent of patients had multiple HNP. In addition to snoring and loud or irregular snoring on the standard clinical questionnaire (77% vs. 52%, P = 0.027 and 47% vs. 22%, P = 0.041), no other differences were present. The group with larger tumors tended to have more apnea (24% vs. 0%, P = 0.07) and a higher disturbance of psychosocial function (11.8 ± 16.9 vs. 2.5 ± 5.6, P = 0.05). However, the group with the smaller estimates of tumor size reported more daytime sleepiness and fatigue (29% vs. 71%, P = 0.01 and 41% vs. 79%, P = 0.03).

Carotid body tumors

Patients with a carotid body tumor reported more complaints of daytime sleepiness on the ESS compared to patients without carotid body tumors (6.6 ± 4.2 vs. 2.6 ± 2.0, P = 0.028; Table 3). There were no differences when comparing patients with a single carotid body tumor, bilateral carotid body tumors, or multiple tumors including a carotid body tumor. The percentage of patients with an ESS score of 10 or more tended to be increased in paraganglioma patients with bilateral carotid body tumors compared to HNP patients without a carotid body tumor (26.9% vs. 0%, P = 0.068). In the clinical assessment questionnaires, patients with bilateral carotid body tumors reported more complaints of snoring (82% vs. 40%, P = 0.012).
Table 3

Daytime sleepiness in patients with CBT compared to patients without CBT using ANOVA analysis

 

No CBTa (n = 10)

Single CBTa (n = 35)

P value

Bilateral CBTa (n = 26)

P value

CBTb (n = 61)

P value

ESS

Total score

2.6 ± 2.0

6.6 ± 4.2

0.018*

6.7 ± 4.0

0.019*

6.6 ± 4.1

0.028*

Total ≥10

0%

20%

0.124

26.9%

0.068

23%

0.091

SCAQ

Snoring

40%

62%

0.222

82%

0.012*

71%

0.054

Apnea

10%

10%

1

22.7%

0.39

15%

0.658

CBT carotid body tumor, ESS Epworth Sleepiness Scale, SCAQ standard clinical assessment questionnaire

*P < 0.05

aOther paraganglioma than CBT possibly present

bCBT present (single and multiple combined) compared to “No CBT”

Recent catecholamine excess

In total, 14 patients had had at least one catecholamine-positive urine sample in the preceding year. No significant differences between patients with and without catecholamine excess were found in this study.

Surgery

Results in patients with a single CBT are shown in Table 4. Surgical removal of a single CBT was not associated with a different outcome in this study.
Table 4

Daytime sleepiness and sleep disorders in patients with surgical removal of a carotid body tumor

 

Single CBT without surgery (n = 10)

Single CBT with surgery (n = 11)

P value

ESS

 Total score

5.8 ± 4.7

7.7 ± 4.6

0.353

 Total score ≥10

20%

27%

0.696

SCAQ

 Snoring

70%

45%

0.256

 Apnea

22%

11%

0.466

 Restless legs

30%

27%

0.890

ESS Epworth Sleepiness Scale, SCAQ standard clinical assessment questionnaire

*P < 0.05

Linear regression analysis (multivariate analysis)

Stepwise linear regression was performed in a model including age, gender, dysphonia, difficulties with swallowing, number of HNP, and the presence of carotid body tumors as independent variables and ESS scores and SGRQ scores as dependent variables. Age was an independent predictor of midsleep (β = 0.389, P = 0.005). Gender was not an independent predictor in this analysis. Dysphonia was found to be an independent predictor of symptoms, activity, disturbance of psychosocial function, and total scores of the SGRQ (β = 0.434, P = 0.001; β = 0.325, P = 0.043; β = 0.390, P = 0.015; and β = 0.434, P = 0.007, respectively). The presence of a carotid body tumor was an independent predictor of daytime sleepiness (β = 0.287, P = 0.029) according to the ESS questionnaire. Surgery was not found as an independent predictor.

Discussion

Synopsis of key findings

In this study we investigated daytime sleepiness, common sleep-related complaints, and exercise capacity in patients with HNP using questionnaires. Daytime fatigue, concentration difficulties, waking up less refreshed, and feelings of depression were found more often in HNP patients. Remarkably, daytime sleepiness was significantly increased in patients with one or more carotid body tumors, compared to patients without a carotid body tumor. Clinicians need to be aware that carotid bodies may have a distinct role in sleep-related complaints in these patients. However, based on the data of our study, we cannot exclude mechanical airway obstruction to have bearing on our results. Further detailed polysomnographic and ventilatory studies with arterial blood gas analyses in both pre- and postoperative patients would be helpful to further elucidate the pathophysiology.

Comparisons with other studies

Although several studies have investigated clinical presentations of HNP patients, data regarding sleep in these patients are limited. Recently, we performed a QoL study in HNP patients using validated general health-related questionnaires that reported an increase of fatigue and sleep disorders in these patients [15]. Therefore, in the present study, we included questionnaires that were more specifically designed to assess sleep-related complaints. Daytime fatigue, concentration difficulties, being less refreshed on waking up, and feelings of depression were reported to be worse in patients as compared to controls, thus suggesting an association of HNP and/or its treatment with sleep-related disorders. Dysphonia was found to be an independent predictor of symptoms, disturbance of psychosocial function, and total scores according to the SGRQ, which is concordant with our results in the QoL study.

In HNP patients with one or more carotid body tumors, total scores on daytime sleepiness were significantly higher compared to patients without carotid body tumors. However, using the ESS score of 10 or higher as a cutoff value, a significant difference was only found in patients with bilateral carotid body tumors. In the literature, case reports have been published suggesting associations between carotid body tumors and sleep apnea or hypoventilation [2, 24, 25, 26, 27]. Reports have been published describing obstructive sleep apnea syndrome caused by the presence of carotid body tumors with (partial) relief after surgical removal [24, 26]. On the other hand, the development of an abnormal hypoxic ventilatory drive and hypoventilation syndromes after the surgical removal of (bilateral) carotid body tumors has been reported as well [2, 27, 28]. In our study, no significant results concerning the effects of surgery could be found; however, this might be due to the small number of patients that had been operated in our cohort. The percentage of paraganglioma patients in the present study that reported sleep apnea was not significantly increased in comparison with controls. However, in the present study, apnea was only assessed by using self-reported questionnaires and many patients and controls did not know whether or not they had sleep apnea. In addition, although we did not have the exact tumor volumes, our data suggest that sleep apnea may be more commonly found in those patients who have larger tumors. Considering these observations and the increased daytime sleepiness in patients with carotid body tumors, the results of our study warrant additional sleep apnea studies, like polysomnography, in addition to these self-reported questionnaires.

We did not find a correlation between age and sleepiness by univariate analysis, which is in contrast with findings in the general healthy population [29, 30]. This discrepancy could be due to the limited age range of the subjects included in our study. In the multivariate regression analysis, age was an independent predictor of midsleep. In this study patients were compared with own controls and controls derived from previous studies performed in this hospital. The advantage of using own controls is that they are from the same geographic area and socioeconomic class as the patients [31]. However, there may be a selection bias, because patients could have chosen subjects with a good health status [32]. In addition, a considerable number of control subjects chose to return the questionnaires unanswered, resulting in a relatively small number of own controls. Therefore, for every patient, one age- and sex-matched control subject was derived from a database containing results of similar questionnaires, except for the SGRQ results, in healthy controls in our center.

Respiratory drive during non-rapid eye movement sleep is mainly influenced by the metabolic (autonomic) control system, and therefore chemoreceptors alone may be responsible for providing effective input to the respiratory center in the brain stem [1, 3, 4, 6, 7, 18, 33]. The carotid body is the most powerful peripheral chemoreceptor sensitive mainly to arterial oxygen tension. In response to hypoxia, the firing rate of chemosensory impulses increases in the carotid sinus nerve. The impulses reach the respiratory center in the brain stem via the glossopharyngeal nerve, resulting in an increase in ventilation. In HNP patients the function of these peripheral chemoreceptors may be disturbed, either in the carotid body tumor itself or adjacent nerves. Ventilatory responses to hypoxia may be less adequate [4, 16, 24, 28, 33, 34]. Our results suggest that patients with carotid body tumors have more complaints of daytime sleepiness than patients without carotid body tumors. Thus, we could hypothesize that disturbed chemoreceptor function in HNP patients might be contributory to increased daytime sleepiness, especially in those with carotid body tumors.

Clinical applicability of the study

Of course the hypothesis that dysfunction and/or removal of these carotid bodies (that play a role in controlling breathing) are directly responsible for the impaired sleep is appealing. However, since we did not specifically investigate airway resistance in our study, we were not able to estimate the contribution of a purely mechanical obstruction of the upper airways to the reported complaints. The dilator muscles of the upper airway have been shown to play a critical role in maintaining patency of the oropharynx during inspiration [35]. Obstructive sleep apnea has been shown to occur in patients with inadequate activity of the glenioglossus, the main protrusor muscle of the tongue [36]. Neural output to the glenioglossus is stimulated largely by input from the peripheral chemoreceptors [37, 38]. This might be of critical importance to the control of the airway resistance in patients who have undergone surgical removal of carotid bodies. Importantly, larger paragangliomas in situ may also cause direct compression of the upper airway. Interestingly, albeit not significantly, sleep apnea tended to be more frequent in the group with the larger tumors. Unfortunately, we could not precisely calculate tumor volume and did not perform additional studies. This remains to be further analyzed in future studies.

In conclusion, we found self-reported, sleep-related problems to be increased in HNP patients. Remarkably, patients with carotid body tumors had increased daytime sleepiness compared to patients without carotid body tumors. Clinicians need to be aware that carotid bodies may have a distinct role in sleep-related complaints in these patients. However, based on the data of our study, we cannot exclude mechanical airway obstruction to have bearing on our results. Further detailed polysomnographic and ventilatory studies with arterial blood gas analyses in both pre- and postoperative patients would be helpful to further elucidate the pathophysiology.

Notes

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

References

  1. 1.
    Heymans C (1960) Reflexogenic areas of the cardiovascular system. Perspect Biol Med 3:409–417PubMedGoogle Scholar
  2. 2.
    Zikk D, Shanon E, Rapoport Y, Samuel J (1983) Sleep apnea following bilateral excision of carotid body tumors. Laryngoscope 93(11 Pt 1):1470–1472PubMedGoogle Scholar
  3. 3.
    Lopez-Barneo J, Pardal R, Ortega-Saenz P (2001) Cellular mechanism of oxygen sensing. Annu Rev Physiol 63:259–287PubMedCrossRefGoogle Scholar
  4. 4.
    Iturriaga R, Rey S, Del Rio R (2005) Cardiovascular and ventilatory acclimatization induced by chronic intermittent hypoxia: a role for the carotid body in the pathophysiology of sleep apnea. Biol Res 38(4):335–340PubMedCrossRefGoogle Scholar
  5. 5.
    Lahiri S, Roy A, Baby SM, Hoshi T, Semenza GL, Prabhakar NR (2006) Oxygen sensing in the body. Prog Biophys Mol Biol 91(3):249–286PubMedCrossRefGoogle Scholar
  6. 6.
    Berger PJ, Skuza EM, Brodecky V, Wilkinson MH (2002) Physiology: the ventilatory response to hypoxia. Nature 419(6908):686PubMedCrossRefGoogle Scholar
  7. 7.
    Lahiri S (2000) Plasticity and multiplicity in the mechanisms of oxygen sensing. Adv Exp Med Biol 475:13–23PubMedGoogle Scholar
  8. 8.
    Baysal BE, Ferrell RE, Willett-Brozick JE, Lawrence EC, Myssiorek D, Bosch A, van der Mey A, Taschner PE, Rubinstein WS, Myers EN, Richard CW 3rd, Cornelisse CJ, Devilee P, Devlin B (2000) Mutations in SDHD, a mitochondrial complex II gene, in hereditary paraganglioma. Science 287(5454):848–851PubMedCrossRefGoogle Scholar
  9. 9.
    Baysal BE, Willett-Brozick JE, Lawrence EC, Drovdlic CM, Savul SA, McLeod DR, Yee HA, Brackmann DE, Slattery WH 3rd, Myers EN, Ferrell RE, Rubinstein WS (2002) Prevalence of SDHB, SDHC, and SDHD germline mutations in clinic patients with head and neck paragangliomas. J Med Genet 39(3):178–183PubMedCrossRefGoogle Scholar
  10. 10.
    Bayley JP, van Minderhout I, Weiss MM, Jansen JC, Oomen PH, Menko FH, Pasini B, Ferrando B, Wong N, Alpert LC, Williams R, Blair E, Devilee P, Taschner PE (2006) Mutation analysis of SDHB and SDHC: novel germline mutations in sporadic head and neck paraganglioma and familial paraganglioma and/or pheochromocytoma. BMC Med Genet 7:1PubMedCrossRefGoogle Scholar
  11. 11.
    van Houtum WH, Corssmit EP, Douwes Dekker PB, Jansen JC, van der Mey AG, Bröcker-Vriends AH, Taschner PE, Losekoot M, Frölich M, Stokkel MP, Cornelisse CJ, Romijn JA (2005) Increased prevalence of catecholamine excess and phaeochromocytomas in a well-defined Dutch population with SDHD-linked head and neck paragangliomas. Eur J Endocrinol 152(1):87–94PubMedCrossRefGoogle Scholar
  12. 12.
    Benn DE, Gimenez-Roqueplo AP, Reilly JR, Bertherat J, Burgess J, Byth K, Croxson M, Dahia PL, Elston M, Gimm O, Henley D, Herman P, Murday V, Niccoli-Sire P, Pasieka JL, Rohmer V, Tucker K, Jeunemaitre X, Marsh DJ, Plouin PF, Robinson BG (2006) Clinical presentation and penetrance of pheochromocytoma/paraganglioma syndromes. J Clin Endocrinol Metab 91(3):827–836PubMedCrossRefGoogle Scholar
  13. 13.
    Neumann HP, Pawlu C, Peczkowska M, Bausch B, McWhinney SR, Muresan M, Buchta M, Franke G, Klisch J, Bley TA, Hoegerle S, Boedeker CC, Opocher G, Schipper J, Januszewicz A, Eng C, European-American Paraganglioma Study Group (2004) Distinct clinical features of paraganglioma syndromes associated with SDHB and SDHD gene mutations. JAMA 292(8):943–951PubMedCrossRefGoogle Scholar
  14. 14.
    Young WF Jr, Abboud AL (2006) Editorial: paraganglioma—all in the family. J Clin Endocrinol Metab 91(3):790–792PubMedCrossRefGoogle Scholar
  15. 15.
    Havekes B, van der Klaauw AA, Hoftijzer HC, Jansen JC, van der Mey AG, Vriends AH, Smit JW, Romijn JA, Corssmit EP (2008) Reduced quality of life in patients with head-and-neck paragangliomas. Eur J Endocrinol 158(2):247–253PubMedCrossRefGoogle Scholar
  16. 16.
    Timmers HJ, Wieling W, Karemaker JM, Lenders JW (2003) Denervation of carotid baro- and chemoreceptors in humans. J Physiol 553(Pt 1):3–11PubMedCrossRefGoogle Scholar
  17. 17.
    Whipp BJ, Wasserman K (1980) Carotid bodies and ventilatory control dynamics in man. Fed Proc 39(9):2668–2673PubMedGoogle Scholar
  18. 18.
    Dahan A, Nieuwenhuijs D, Teppema L (2007) Plasticity of central chemoreceptors: effect of bilateral carotid body resection on central CO2 sensitivity. PLoS Med 4(7):239CrossRefGoogle Scholar
  19. 19.
    van der Klaauw AA, Dekkers OM, Pereira AM, van Kralingen KW, Romijn JA (2007) Increased daytime somnolence despite normal sleep patterns in patients treated for non-functioning pituitary macroadenoma. J Clin Endocrinol Metab 92(10):3898–3903PubMedCrossRefGoogle Scholar
  20. 20.
    Johns MW (1992) Reliability and factor analysis of the Epworth Sleepiness Scale. Sleep 15(4):376–381PubMedGoogle Scholar
  21. 21.
    Johns MW (1993) Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth Sleepiness Scale. Chest 103(1):30–36PubMedCrossRefGoogle Scholar
  22. 22.
    Ferrer M, Alonso J, Prieto L, Plaza V, Monsó E, Marrades R, Aguar MC, Khalaf A, Antó JM (1996) Validity and reliability of the St George's Respiratory Questionnaire after adaptation to a different language and culture: the Spanish example. Eur Respir J 9(6):1160–1166PubMedCrossRefGoogle Scholar
  23. 23.
    van Kralingen KW, de Kanter W, de Groot GH, Venmans BJ, van Boxem T, van Keimpema AR, Postmus PE (1999) Assessment of sleep complaints and sleep-disordered breathing in a consecutive series of obese patients. Respiration 66(4):312–316PubMedCrossRefGoogle Scholar
  24. 24.
    Herer B, Royand F, Kieffer E, Vincent JP (2003) A case report of an obesity hypoventilation syndrome associated with obstructive sleep apnea due to a carotid body paraganglioma. Sleep Med 4(5):459–463PubMedCrossRefGoogle Scholar
  25. 25.
    Desuter G, Castelein S, de Toeuf C, Rombaux P, Hamoir M (2002) Parapharyngeal causes of sleep apnea syndrome: two case reports and review of the literature. Acta Otorhinolaryngol Belg 56(2):189–194PubMedGoogle Scholar
  26. 26.
    Metersky ML, Castriotta RJ, Elnaggar A (1995) Obstructive sleep apnea due to a carotid body paraganglioma. Sleep 18(1):53–54PubMedGoogle Scholar
  27. 27.
    Roncoroni AJ, Montiel GC, Semeniuk GB (1993) Bilateral carotid body paraganglioma and central alveolar hypoventilation. Respiration 60(4):243–246PubMedCrossRefGoogle Scholar
  28. 28.
    Timmers HJ, Karemaker JM, Wieling W, Marres HA, Folgering HT, Lenders JW (2003) Baroreflex and chemoreflex function after bilateral carotid body tumor resection. J Hypertens 21(3):591–599PubMedCrossRefGoogle Scholar
  29. 29.
    Gander PH, Marshall NS, Harris R, Reid P (2005) The Epworth Sleepiness Scale: influence of age, ethnicity, and socioeconomic deprivation. Epworth Sleepiness scores of adults in New Zealand. Sleep 28(2):249–253PubMedGoogle Scholar
  30. 30.
    Whitney CW, Enright PL, Newman AB, Bonekat W, Foley D, Quan SF (1998) Correlates of daytime sleepiness in 4578 elderly persons: the Cardiovascular Health Study. Sleep 21(1):27–36PubMedGoogle Scholar
  31. 31.
    Grimes DA, Schulz KF (2005) Compared to what? Finding controls for case–control studies. Lancet 365(9468):1429–1433PubMedCrossRefGoogle Scholar
  32. 32.
    Wacholder S, Silverman DT, McLaughlin JK, Mandel JS (1992) Selection of controls in case–control studies. II. Types of controls. Am J Epidemiol 135(9):1029–1041PubMedGoogle Scholar
  33. 33.
    Forster HV, Pan LG, Lowry TF, Serra A, Wenninger J, Martino P (2000) Important role of carotid chemoreceptor afferents in control of breathing of adult and neonatal mammals. Respir Physiol 119(2–3):199–208PubMedCrossRefGoogle Scholar
  34. 34.
    Smith CA, Nakayama H, Dempsey JA (2003) The essential role of carotid body chemoreceptors in sleep apnea. Can J Physiol Pharmacol 81(8):774–779PubMedCrossRefGoogle Scholar
  35. 35.
    Remmers JE, deGroot WJ, Sauerland EK, Anch AM (1978) Pathogenesis of upper airway occlusion during sleep. J Appl Physiol 44(6):931–938PubMedGoogle Scholar
  36. 36.
    Brouillette RT, Thach BT (1980) Control of genioglossus muscle inspiratory activity. J Appl Physiol 49(5):801–808PubMedGoogle Scholar
  37. 37.
    Weiner D, Mitra J, Salamone J, Cherniack NS (1982) Effect of chemical stimuli on nerves supplying upper airway muscles. J Appl Physiol 52(3):530–536PubMedGoogle Scholar
  38. 38.
    Bruce EN, Mitra J, Cherniack NS (1982) Central and peripheral chemoreceptor inputs to phrenic and hypoglossal motoneurons. J Appl Physiol 53(6):1504–1511PubMedGoogle Scholar

Copyright information

© The Author(s) 2011

Authors and Affiliations

  • Bas Havekes
    • 1
  • Florine Kastelein
    • 2
  • Agatha A. van der Klaauw
    • 2
  • Nicolette van Duinen
    • 2
  • Jeroen C. Jansen
    • 3
  • Jan W. A. Smit
    • 2
  • Klaas W. van Kralingen
    • 4
  • Annette H. J. T. Vriends
    • 5
  • Johannes A. Romijn
    • 2
  • Eleonora P. M. Corssmit
    • 2
  1. 1.Department of Endocrinology and MetabolismMaastricht University Medical CenterMaastrichtThe Netherlands
  2. 2.Department of Endocrinology and Metabolic DiseasesLeiden University Medical CenterLeidenThe Netherlands
  3. 3.Department of OtorhinolaryngologyLeiden University Medical CenterLeidenThe Netherlands
  4. 4.Department of PulmonologyLeiden University Medical CenterLeidenThe Netherlands
  5. 5.Center of Human and Clinical Genetics LeidenLeiden University Medical CenterLeidenThe Netherlands

Personalised recommendations