Introduction

People with spinal cord injury (SCI) often suffer from autonomic dysfunction, which is proposed to contribute to increased mortality from cardiovascular and respiratory disease [1, 2]. Studies on the able-bodied population have revealed a relationship between obstructive sleep apnoea (OSA), hypertension, altered diurnal blood pressure (BP) patterns [3] and heart rate variability (HRV) [4, 5].

In healthy, able-bodied people, BP generally falls during sleep. Loss of nocturnal BP dipping, i.e., a failure of nocturnal systolic BP (SBP) to fall to <90% of the day value [6] as well as reduced HRV and vagal cardiac tone are associated with adverse cardiovascular outcomes [7,8,9]. OSA contributes to abnormalities of the BP pattern and HRV in the able-bodied population [3,4,5, 10]. However, to our knowledge, the relationship between OSA and circadian BP pattern or HRV has not been studied in the SCI population. It may be important to consider the impact of OSA in the setting of altered cardiovascular autonomic control in people with SCI. In this study, we used circadian BP pattern and HRV as markers for autonomic function and investigated the association between these markers and the severity of OSA in people with SCI.

Methods

Subjects and setting

Our study was approved by the Austin Health Human Research Ethics Committee. As this study involved only retrospective review of the medical records, patient consent was not required. Potential subjects were identified by reviewing inpatient or outpatient records of patients who attended a state-based SCI service between 2009 and 2014. Subjects entered the study if they had a traumatic SCI and had undergone a sleep study or ambulatory BP and electrocardiography monitoring on a combination device (Card(X)plore monitor, Meditech, Budapest, Hungary). Individuals with both a sleep study and ambulatory BP monitoring (ABPM) were identified and common data were extracted. Diagnostic sleep studies performed within 6 months of the ABPM study were selected. For subjects with multiple qualifying pairs (sleep study and ABPM), the most recent were included.

Fifty-six participants were initially identified. Fourteen were excluded because two had brain stem lesions, 11 had incomplete ABPM study data and one had inadequate sleep study results.

Data extraction

Data extracted from the medical records of the 42 final participants included age, gender, height, weight, time from injury, level of injury and neurological classification (American Spinal Injuries Association impairment scale, AIS [11]).

Ambulatory BP measurements were analysed as mean 24 h, day (10 a.m.–8 p.m.) and night (12–6 a.m.) BP and pulse rate (PR). Medication usage and intercurrent illnesses were recorded. The nocturnal BP dip was calculated as follows for SBP and diastolic BP (DBP): [100% × (average day BP − average night BP)/average day BP]. Subjects were defined as dippers, non-dippers and reversed dippers if compared to the day SBP, the nocturnal SBP was at least 10% less, between 10 and 0% less or greater [6]. Hypertension was defined as a 24 h BP above 130/80 mm Hg, day hypertension as day BP above 135/85 mm Hg and nocturnal hypertension as a night BP above 120 mm Hg SBP or 70 mm Hg DBP, according to clinical guidelines [12].

The HRV indices were obtained from the Cardiovisions 1.19 software (Meditech), and was analysed according to time and frequency domain. The following measures were obtained in the time domain: the standard deviation (SD) of normal to normal intervals (SDNN); the SD of the average normal to normal intervals calculated over segments of 5 min (SDANN); the percentage of consecutive RRs that differed by >50 ms (pNN50); and the square root of the mean squared differences of successive normal to normal intervals (rMSSD). The HRV frequency domain was analysed in low frequency (LF), high frequency (HF) and LF/HF ratio. Power was expressed in both absolute and normalised units.

From the sleep study, apnoea/hypopnoea index (AHI), number of arousals/hour and oxygen desaturation index were extracted. The severity of OSA was defined as mild (AHI 5–15), moderate (AHI 15–30), severe (AHI > 30) and non-OSA if AHI < 5 [13].

Study group

Subjects were classified in two ways; by the dipping status (dipper, non-dipper and reverse dipper), and separately, by the severity of OSA (non-OSA, mild, moderate and severe). The time from injury was dichotomised into acute and intermediate (≤6 months) and chronic SCI (>6 months) [14].

Statistical analysis

Microsoft Excel was used for preliminary analysis, including calculating means, SDs and standard error of mean (SEM) of each variable.

Due to the small sample size of some subgroups, the Fisher exact test was performed using the R software (http://www.r-project.org) for the analysis of categorical data, including gender, acute and intermediate/chronic SCI, cervical thoracic SCI, AIS classification of A/B/C or D, and the completeness of the injury.

SPSS was used for other statistical analysis. Test of normality was performed for each variable. Analysis of variance and t-test were used to compare means of normally distributed continuous variables. With skewed data (body mass index (BMI), ODI4%, day SBP, night PR, 24 h PR, SDANN, pNN50, rMSSD, LF, HF and LF/HF), log10 transformation was performed before running tests, pNN50 and LF remained skewed after transformation, for which Kruskal–Wallis test was performed. A P-value < 0.05 was considered significant.

Results

Participant characteristics

Participants (n = 42) were predominantly male (85.7%), aged 44 ± 15.4 (mean ± SD), with a BMI of 24.4 ± 5.7 (n = 39, mean ± SD) and mainly tetraplegic (92.9%; Table 1). The injury levels of the 3 subjects with paraplegia were T3, T5 and T6. Twenty-eight participants had an acute/intermediate injury and 21 had complete SCI (AIS A; Table 2).

Table 1 Characteristics of study groups
Table 2 Details of SCI

Of the 42 participants, 21 (50%) were reverse dippers and 5 were dippers (11.9%). No association was found between dipping status and age, gender, BMI, time from injury, completeness or level of injury (Table 1). Fourteen (33%) subjects had nocturnal hypertension while only one (2%) had daytime hypertension.

Six (14.3%) subjects were non-OSA and 19 had severe OSA with an AHI > 30. No relationships were found between the severity of OSA and age, gender, BMI, time from injury, completeness of injury or level of injury (data not shown).

BP and OSA

The AHI, ODI4% and arousal index were compared between dippers, non-dippers and reverse dippers, which showed no difference across each subgroup (Table 3).

Table 3 OSA, HRV and BP vs. dipping status

In people with acute/intermediate SCI, the AHI was significantly lower in reverse dippers (15.2 ± 4.2, mean ± SEM, p = 0.017) compared to dippers (35.7 ± 4.2) and non-dippers (34.2 ± 5.0), while no difference was found in subjects with chronic SCI (Figs. 1 and 2).

Fig. 1
figure 1

AHI vs. dipping status in acute/intermediate SCI. Mean±SEM plot. Dippers (35.7 ± 4.2, n = 2), non-dippers (34.2 ± 5.0, n = 13) and reverse dippers (15.2 ± 4.2, n = 13), P = 0.017. Bold value represents statistically significant difference in AHI between the three groups

Fig. 2
figure 2

AHI vs. dipping status in chronic SCI. Mean ± SEM plot. Dippers (17.9 ± 6.3, n = 3), non-dippers (23.2 ± 7.5, n = 3) and reverse dippers (26.9 ± 8.3, n = 8) and P = 0.802

Between people with and without nocturnal hypertension, there was no significant difference in AHI, ODI4% or arousal index (data not shown).

BP and HRV

No significant differences were found in any of the HRV parameters between dippers, non-dippers and reverse dippers (Table 3).

OSA, BP and HRV

No difference was found in 24 h, night-time, daytime or nocturnal dip in SBP, DBP or PR between subjects with various degrees of OSA.

None of the HRV parameters differed in people with non-OSA, mild OSA, moderate OSA and severe OSA (Table 4).

Table 4 BP pattern and HRV vs. OSA severity

Discussion

To our knowledge, this is the first study on the relationships between OSA and autonomic cardiovascular control in the SCI population. Despite the hypothesis that in SCI OSA may cause a change in BP pattern [15,16,17], there is little direct evidence to support this speculation. In the able-bodied population, OSA can cause hypertension [18, 19], increased nocturnal BP [3] and sympathetic excitation resulting in altered HRV [20], which may contribute to cardiovascular disease. In the SCI population, cardiovascular disorders due to autonomic dysfunction are major causes of morbidity and mortality [1]. Given the high prevalence of OSA in this population, its role in the pathogenesis of or as a consequence of autonomic dysfunction, should be considered. However, in our study we were unable to demonstrate any significant relationship between BP pattern or HRV and OSA severity in people with SCI.

Features of study groups

A majority of our subjects had a disturbed pattern of circadian BP (37 of 42), consistent with the nature of high-level SCI. As previously reported, the circadian BP pattern is altered in people with cervical SCI featuring a lower daytime BP and similar night-time BP, which is presented as a loss of nocturnal dip [21]. However, all of the 5 dippers had cervical SCI, while the 3 thoracic SCI individuals were either non-dippers or reverse dippers. This could partly be due to the small sample size of dippers and people with thoracic SCI.

Only a small proportion of our study group did not have OSA (6 out of 42). The high incidence of OSA in our study group could be explained by selection bias. Second, the high prevalence of OSA in the SCI population could also be a contributing factor.

BP pattern vs. OSA

The prevalence of loss of nocturnal BP dip and OSA were both high in our population. We did not find an association between the severity of OSA and BP pattern despite our initial hypothesis. (Tables 3 and 4). These findings suggest that the mechanisms behind BP variation in the setting of SCI might be different from that in the able-bodied population.

Anatomically, the sympathetic pathway is disrupted in SCI, which results in lower day BP compared to the able-bodied population, and hence reduced diurnal BP variation [22,23,24]. From the ABPM data we found that only one of the 42 subjects had daytime hypertension, while 33% had nocturnal hypertension. Half our population had night-time pressures higher than daytime pressures; this is in keeping with previous studies that compared diurnal BP between paraplegia, tetraplegia and able-bodied controls, and observed that in people with high-level SCI (above T6), the day BP was lower compared to low-level injury and controls, whilst no differences were noticed in night BP [22,23,24,25,26,27,28,29]. Therefore, the pathology of OSA and non-dipping status in the SCI population presumably relates to lower daytime, but preserved night-time BP, while in the able-bodied populations surges in night-time sympathetic activity during an apnoeic/hypopnoeic event contributes to non-dipping status. In the able-bodied population, most studies investigating the relationship between BP pattern and OSA have focused on people with hypertension, nocturnal hypertension or resistant hypertension, but the same underlying mechanisms may not apply to SCI. The apnoeic/hypopnoeic event in OSA can lead to hypoxia, which triggers cortical arousals and was found to relate to sympathetic activation in HRV studies [20]. The excitation of sympathetic nervous system is believed to contribute to the elevation of nocturnal BP in OSA patients, and hence results in the reduction in nocturnal BP dip. Given that SCI patients have lost the supraspinal sympathetic control, it is not surprising that even during apnoeic/hypopnoeic events the sympathetic activity might remain low in people with SCI, and thus no elevation in BP occurs. Therefore, although both are non-dippers, the one with SCI is most likely to have a lower daytime BP and normal night-time BP, while the able-bodied person tends to have a higher night-time BP and normal or higher daytime BP.

The disturbance of BP pattern in people with SCI could also be explained by a loss of circadian rhythm in this population, especially in cervical SCI. During the night, in a dark environment, the pineal gland secretes melatonin [30], which exerts important cardiovascular effects [31]. A meta-analysis of randomised controlled trials on the effects of exogenous melatonin at bedtime showed a significant reduction in nocturnal BP in subjects taking controlled-release melatonin [32]. In people with tetraplegia, the melatonin pathway is impaired because the pineal gland is innervated by neurons from the superior cervical ganglia, which synapse with spinal sympathetic neurons at level C8-T2. In injuries above that level, the pathway is affected resulting in a loss of the evening melatonin surge, which then leads to a diminished BP dip [33].

Interestingly, we found that in acute/intermediate SCI, the AHI was lowest among reverse dippers. However, without contemporaneous continuous BP and sleep data it is not appropriate to state conclusively that the AHI is lower in reverse dippers in the SCI population.

In summary, we propose that in the able-bodied population, OSA increases nocturnal BP by sympathetic activation. In people with high-level SCI, the disruption of sympathetic pathway causes a dissociation between the OSA and BP patterns.

HRV vs. OSA

Studies on the general population have revealed an altered pattern of HRV in people with OSA, with an increased nocturnal LF and LF/HF ratio [34]. One study comparing frequency domain indices between OSA subjects and controls during a controlled breathing period showed a significant reduction in HF modulation [35]. These results suggest an increased sympathetic activity during sleep and decreased vagal tone during the day in OSA patients. Because normal HRV is mediated by respiratory sinus arrhythmia, baroreflex-related fluctuation and thermoregulation-related fluctuation [34], the interpretation of nocturnal HRV could be confounded by multiple factors, including the presence of apnoeic/hypopnoeic events. As such, we only looked at the 24 h HRV parameters and found no difference in either time domain or frequency domain analysis between people with non-OSA, mild, moderate and severe OSA.

From the autonomic cardiac control point of view, sympathetic neurons innervating the heart reside at T1-T5 level, and all our subjects had an injury level higher than T6. One study, which measured 24 h HRV on people with SCI showed a significantly higher LF/HF ratio in people with lower level SCI (T6-T12) [36], indicating preserved sympathetic activity in this group.

The SDNN and SDANN represent the total variability of heart rate and are important predictors for cardiovascular risk [37]. We initially expected a reduction in SDNN and SDANN in people with severe OSA, hypothesising that the autonomic function in this group would be more compromised and hence a reduction in overall HRV observed. Conversely, the respiratory events could potentially contribute to an increased HRV overnight. However, our result showed no difference in these two parameters between OSA groups. Similar to the BP pattern, the HRV is largely controlled by the autonomic nervous system and the sympathetic pathway disturbance in SCI could explain the unresponsiveness of the sympathetic branch of HRV to apnoeic/hypopnoeic events. The parasympathetic branch, on the other hand, remains anatomically intact in SCI, but we did not see any significant impact of respiratory events on the HF power, which represents the vagal tone. We speculate that sympathetic and parasympathetic nervous systems act synergistically, and the level of tone in one component is dependent on the other [38]. In addition, the lack of response to respiratory events might itself be a sign of autonomic dysfunction. It might be of value to identify the apnoeic/hypopnoeic episodes and compare HRV within and without these episodes, to see whether there is any sympathetic response to hypoxia, desaturation and arousals, and any change in vagal tone due to lack of breathing. From the BP data, we speculate that there is no sympathetic activation during these episodes.

Method consideration and limitations

Definition of ‘day’ and ‘night’ in ABPM studies

Due to the lack of information on sleep/wake time for the ABPM study, we decided to a priori define 10 a.m.–8 p.m. as daytime and 12–6 a.m. as night-time for the following reasons: (1) after reviewing lights on and off time of the sleep study, we found the vast majority of our subjects went to bed before midnight (41/42), and all of them woke up by 10 a.m. Although the ABPM study was conducted on a different day, given that the two studies were done within 6 months, and the SCI population typically has a very regular routine, we assumed that they would have a similar sleep pattern. (2) This removes the morning and evening periods where most SCI participants have a usual routine requiring carers’ assistance. These periods involve frequent posture change, showering, bowel care and other activities reported to be frequently associated with substantial cardiovascular instability. (3) There is evidence showing that a narrow fixed time is better than wide fixed time in prediction of the actual asleep and awake time [39]. Interestingly, the 24 h SBP was higher than both daytime and night-time SBP in some groups and individuals, and warrants further investigation but is not within the scope of our study.

Heterogeneity in sizes of subgroups

The small number of non-OSA (n = 6) and dippers (n = 5) in our study group was associated with a potential risk of type II errors. This was expected since 92.9% of participants in our study were tetraplegic, and this was due to the high prevalence of OSA and BP non-dipping in this particular population. While we cannot exclude this possibility, our results were broadly consistent across the participants.

Conclusion

Both OSA and loss of nocturnal BP dipping are common in the SCI population. We found no relationship between BP pattern or HRV indices and presence or severity of OSA in people with SCI. The process of sympathetic activation following apnoeic/hypopnoeic events in the able-bodied population may be absent in SCI patients due to the loss of supraspinal sympathetic control and the disturbance of the spinal sympathetic pathway. Because of the dissociation between BP or HRV and OSA, it is not clear whether there is an association between autonomic dysfunction and OSA. In future studies, adding an able-bodied control group might be helpful.