Sleep might have a pivotal role in rehabilitation medicine: A road map for care improvement and clinical research

Changes in sleep-disordered breathing severity and post-stroke outcomes in the first year after stroke

BACKGROUND

Sleep-disordered breathing (SDB) is common among stroke survivors and is associated with worse functional, cognitive, and neurologic outcomes after stroke. Little is known about the association between changes in SDB and changes in these outcomes over time.

METHODS

Ischemic stroke (IS) patients identified through the Brain Attack Surveillance in Corpus Christi project were offered SDB testing with a portable respiratory monitor (ApneaLink Plus) shortly after stroke, and at 3-, 6-, and 12-months post-stroke. SDB was quantified using the respiratory event index (REI; apneas plus hypopneas per hour of recording). At 3-, 6-, and 12-months post-stroke, functional outcomes, cognitive outcomes, and neurologic outcomes were measured. Linear mixed models were fitted to obtain random slopes reflecting individual changes in REI and each of outcome over time, adjusted for multiple covariates. Associations between the resulting individual slopes for REI and each outcome were then evaluated using linear regression models.

RESULTS

Of 482 IS patients with at least one REI measurement, in fully adjusted models, faster reduction in REI was not associated with faster improvement in functional (β = -0.06; 95 % CI: -0.15, 0.03, p = 0.16), cognitive (β = -0.03; 95 % CI: -0.12, 0.06, p = 0.51), or neurologic outcomes (β = -0.04; 95 % CI: -0.13, 0.05, p = 0.41).

CONCLUSIONS

In this observational study of stroke survivors, there was no clear association between the rate of improvement in SDB and improvement in functional, cognitive, or neurologic outcomes. It remains to be seen whether treatment of SDB might lead to improved outcomes among stroke survivors.

Nocturia and obstructive sleep apnea in spinal cord injured patients - a cohort study

PURPOSE

To describe the prevalence of nocturia and obstructive sleep apnea (OSA) in a cohort of spinal cord injury (SCI) patients and to describe their association. Additionally, to assess clinical and urodynamic data explaining nocturia and to evaluate the effect of OSA management with continuous positive airway pressure (CPAP).

METHOD

Retrospective analysis of data from patients with SCI followed in a tertiary care rehabilitation center with a specialized sleep and neuro-urology units. All adult SCI patients who underwent urodynamic assessment before polysomnography (PSG) between 2015 and 2023 were eligible. Subjective (nocturia) and objective data (urodynamic data, polysomnography, CPAP built-in software) were collated from the Handisom database (database register no. 20200224113128) and the medical records of SCI patients. Statistical testing used Mann-Whitney test for non-parametric variables, Fisher's exact test for contingency analysis and the Spearman correlation test to assess correlations. A p-value < 0.05 was considered significant. Statistical analyses were performed using GraphPad Prism v9.

RESULTS

173 patients (131 males, 42 females) were included. The majority of patients were paraplegic (n = 111 (64,2%)) and had complete lesions (n = 75 (43,4%)). A total of 100 patients had nocturia (57,5%). The prevalence of OSA (Apnea Hypopnea Index (AHI) ≥ 15/h) in the studied population was 61,9%. No correlation was found between nocturia and OSA. A significant difference was observed between patients with and without nocturia in terms of the presence of neurogenic detrusor overactivity (p = 0,049), volume at the first detrusor contraction (p = 0,004) and the bladder functional capacity (p < 0,001).

CONCLUSION

Nocturia and OSA are highly prevalent in patients with SCI, but no statistical association was found between these two disorders. A prospective study focusing on nocturnal polyuria will be needed to assess the impact of OSA on lower urinary tract symptoms in SCI patients.

Adherence to continuous positive airway pressure therapy in patients with spinal cord injury and obstructive sleep apnea: trajectories and predictors

PURPOSE

To identify specific determinants of non-adherence or cessation of continuous positive airway pressure (CPAP) therapy in a population of patients with spinal cord injuries (SCI).

METHODS

Retrospective analysis of data from patients with SCI who underwent a full night supervised polysomnography between 2015 and 2021 and presented with moderate to severe obstructive sleep apnea (OSA) and for whom CPAP was indicated. Adherence was studied at 1, 6, and 12 months. Univariate and multivariate analyses were performed to identify factors associated with non-adherence (< 4 h per night or CPAP cessation). Factors studied were demographic and disease-related data and both subjective and objective sleep parameters.

RESULTS

A total of 60 patients were included (40% cervical SCI). In univariate analysis, the only predictive parameters of non-adherence observed at 1, 6, and 12 months were the average use of CPAP on the 1st night (p = 0.02) and over the 1st week (p ≤ 0.001). A complete lesion (AIS-A) was predictive of non-adherence at 1 and 6 months (p = 0.02 at 6 months), while mask leakage was associated with non-adherence at 12 months (p = 0.02). Upper limb autonomy and the presence of family caregivers did not appear to be protective. In multivariate analysis, only the average use in the first week remained predictive of adherence (> 4 h) in the short, medium and long term.

CONCLUSION

In patients with SCI and OSA, the 1st week of CPAP treatment seems to be determinant of short-, medium-, and long-term CPAP adherence. Support for SCI patients from the start of treatment is essential and may help avoid treatment failures.

The multifaceted aspects of sleep and sleep-wake disorders following stroke

Sleep-wake disorders (SWD) are acknowledged risk factors for both ischemic stroke and poor cardiovascular and functional outcome after stroke. SWD are frequent following stroke, with sleep apnea (SA) being the most frequent SWD affecting more than half of stroke survivors. While sleep disturbances and SWD are frequently reported in the acute phase, they may persist in the chronic phase after an ischemic stroke. Despite the frequency and risk associated with SWD following stroke, screening for SWD remains rare in the clinical setting, due to challenges in the assessment of post-stroke SWD, uncertainty regarding the optimal timing for their diagnosis, and a lack of clear treatment guidelines (i.e., when to treat and the optimal treatment strategy). However, little evidence support the feasibility of SWD treatment even in the acute phase of stroke and its favorable effect on long-term cardiovascular and functional outcomes. Thus, sleep health recommendations and SWD treatment should be systematically embedded in secondary stroke prevention strategy. We therefore propose that the management of SWD associated with stroke should rely on a multidisciplinary approach, with an integrated diagnostic, treatment, and follow-up strategy. The challenges in the field are to improve post-stroke SWD diagnosis, prognosis and treatment, through a better appraisal of their pathophysiology and temporal evolution.

Sleep apnoea and ischaemic stroke: current knowledge and future directions

Sleep apnoea, one of the most common chronic diseases, is a risk factor for ischaemic stroke, stroke recurrence, and poor functional recovery after stroke. More than half of stroke survivors present with sleep apnoea during the acute phase after stroke, with obstructive sleep apnoea being the most common subtype. Following a stroke, sleep apnoea frequency and severity might decrease over time, but moderate to severe sleep apnoea is nevertheless present in up to a third of patients in the chronic phase after an ischaemic stroke. Over the past few decades evidence suggests that treatment for sleep apnoea is feasible during the acute phase of stroke and might favourably affect recovery and long-term outcomes. Nevertheless, sleep apnoea still remains underdiagnosed and untreated in many cases, due to challenges in the detection and prediction of post-stroke sleep apnoea, uncertainty as to the optimal timing for its diagnosis, and a scarcity of clear treatment guidelines (ie, uncertainty on when to treat and the optimal treatment strategy). Moreover, the pathophysiology of sleep apnoea associated with stroke, the proportion of stroke survivors with obstructive and central sleep apnoea, and the temporal evolution of sleep apnoea subtypes following stroke remain to be clarified. To address these shortcomings, the management of sleep apnoea associated with stroke should be integrated into a multidisciplinary diagnostic, treatment, and follow-up strategy.