Cardiac autonomic function in REM-related obstructive sleep apnoea: insights from nocturnal heart rate variability profiles.

PURPOSE: In light of the reported association between REM-related obstructive sleep apnoea (OSA) and heightened cardiovascular risk, this study aims to compare cardiac autonomic function in patients with REM-OSA and OSA independent of sleep stage. We hypothesized that REM-OSA patients would exhibit higher sympathetic cardiac modulation based on heart rate variability (HRV) profiles. METHODS: HRV was compared between the OSA group (AHI ≥ 5 events/h, n = 252) and the REM-OSA group (AHI ≥ 5 events/h, AHIREM:AHINREM ≥ 2, n = 137). Time- and frequency-domain measures of HRV were analysed during N2 and REM sleep. RESULTS: Clinical characteristics between the two test groups differed significantly, 45% of REM-OSA patients were female, with mild OSA (median, interquartile range (IQR)) AHI of 10 (7) events/h. Only 26% of the OSA cohort were female with moderate OSA (AHI = 17 (20) events/h, p < 0.001). Compared with the OSA group, the low frequency to high frequency ratio (LF:HF) and LF power were lower and HF power was higher in the REM-OSA group during N2 (LF:HF, p = 0.012; LF; p = 0.013; HF, p = 0.007) and in REM sleep (LF:HF, p = 0.002; LF, p = 0.004; HF, p < 0.001). Patient sex and OSA severity had a significant combined effect on average N to N interval, LF power, and LF:HF ratio during N2 and REM sleep (all p < 0.001). CONCLUSION: Contrary to our hypothesis, REM-OSA patients demonstrated consistently higher cardiac vagal modulation, reflecting better cardiac autonomic adaptation. These results were attributed to differences in OSA severity and sex in these two groups, both independently affecting HRV. This study emphasises the need for future research into the underlying pathophysiology of REM-OSA and the potential implications of sex and OSA severity on cardiovascular risk.

Intrapulmonary shunt and alveolar dead space in a cohort of patients with acute COVID-19 pneumonitis and early recovery.

BACKGROUND: Pathological evidence suggests that coronavirus disease 2019 (COVID-19) pulmonary infection involves both alveolar damage (causing shunt) and diffuse microvascular thrombus formation (causing alveolar dead space). We propose that measuring respiratory gas exchange enables detection and quantification of these abnormalities. We aimed to measure shunt and alveolar dead space in moderate COVID-19 during acute illness and recovery. METHODS: We studied 30 patients (22 males; mean±sd age 49.9±13.5 years) 3-15 days from symptom onset and again during recovery, 55±10 days later (n=17). Arterial blood (breathing ambient air) was collected while exhaled oxygen and carbon dioxide concentrations were measured, yielding alveolar-arterial differences for each gas (P A-aO2 and P a-ACO2 , respectively) from which shunt and alveolar dead space were computed. RESULTS: For acute COVID-19 patients, group mean (range) for P A-aO2 was 41.4 (-3.5-69.3) mmHg and for P a-ACO2 was 6.0 (-2.3-13.4) mmHg. Both shunt (% cardiac output) at 10.4% (0-22.0%) and alveolar dead space (% tidal volume) at 14.9% (0-32.3%) were elevated (normal: <5% and <10%, respectively), but not correlated (p=0.27). At recovery, shunt was 2.4% (0-6.1%) and alveolar dead space was 8.5% (0-22.4%) (both p<0.05 versus acute). Shunt was marginally elevated for two patients; however, five patients (30%) had elevated alveolar dead space. CONCLUSIONS: We speculate impaired pulmonary gas exchange in early COVID-19 pneumonitis arises from two concurrent, independent and variable processes (alveolar filling and pulmonary vascular obstruction). For most patients these resolve within weeks; however, high alveolar dead space in ∼30% of recovered patients suggests persistent pulmonary vascular pathology.

Diabetes and hyperglycaemia among hospitalised patients with COVID-19 in Western Sydney: a retrospective cohort study.

BACKGROUND: Diabetes has been recognised as a major risk factor for COVID-19 mortality and hospital complications in earlier studies. AIMS: To examine the characteristics of hospitalised COVID-19 patients with diabetes and the impact of diabetes and hyperglycaemia on hospital outcomes. METHODS: This was a retrospective cohort study. Admission glucose levels, HbA1c, diabetes status and hospital outcomes were determined for subjects admitted from June to November 2021 by matching a pathology data set, a clinical data set and the hospital administrative database. The outcomes of interest were death, intensive care unit (ICU) admission and length of stay (LOS). RESULTS: There were 1515 individuals admitted with COVID-19 with 49 deaths (3.2%) and 205 (13.5%) ICU admissions. The median length of hospital stay was 3.7 days. Three hundred and ten patients (20%) had diabetes, with 46 (15%) newly diagnosed. Patients with diabetes had a higher mortality than patients who did not have diabetes (8% vs 2%, P < 0.001), were more likely to be admitted to ICU (20% vs 12%, P = 0.001) and have longer median LOS stay (6.6 (interquartile range (IQR) 2.9-12.5) vs 2.9 (IQR 0.5-7.1) days, P < 0.001). In multivariate models, neither diabetes nor admission glucose predicted death. Admission glucose level but not diabetes was an independent predictor of ICU admission and LOS. CONCLUSIONS: There is a high prevalence of diabetes among patients hospitalised with COVID-19, with worse outcomes. In contrast to previous studies, the association of diabetes with mortality was not significant when adjusted for other variables. This is possibly related to the benefits of vaccination and current medical and ICU interventions.

Retinal abnormalities, although relatively common in sleep clinic patients referred for polysomnography, are largely unrelated to sleep-disordered breathing.

STUDY OBJECTIVES: There has been long-standing interest in potential links between obstructive sleep apnea (OSA) and eye disease. This study used retinal photography to identify undiagnosed retinal abnormalities in a cohort of sleep clinic patients referred for polysomnography (PSG) and then determined associations with PSG-quantified sleep-disordered breathing (SDB) severity. METHODS: Retinal photographs (n = 396 patients) were taken of each eye prior to polysomnography and graded according to validated, standardized, grading scales. SDB was quantified via in-laboratory polysomnography (PSG; n = 385) using standard metrics. A questionnaire (n = 259) documented patient-identified pre-existing eye disease. Within-group prevalence rates were calculated on a per patient basis. Data were analyzed using multivariate logistic regression models to determine independent predictors for retinal abnormalities. P < 0.05 was considered significant. RESULTS: Main findings were (1) 76% of patients reported no pre-existing "eye problems"; (2) however, 93% of patients had at least one undiagnosed retinal photograph-identified abnormality; (3) most common abnormalities were drusen (72%) and peripapillary atrophy (PPA; 47%); (4) age was the most common risk factor; (5) diabetes history was an expected risk factor for retinopathy; (6) patients with very severe levels of SDB (apnea hypopnea index ≥ 50 events/h) were nearly three times more likely to have PPA. CONCLUSION: Retinal photography in sleep clinic settings will likely detect a range of undiagnosed retinal abnormalities, most related to patient demographics and comorbidities and, except for PPA, not associated with SDB. PPA may be indicative of glaucoma, and any association with severe SDB should be confirmed in larger prospective studies.

Follow-up assessment of sleep-related symptoms in patients after treatment for cancer: responses to continuous positive airway pressure treatment for co-morbid obstructive sleep apnoea.

PURPOSE: To assess changes in sleep-related symptoms in patients with breast cancer, endometrial cancer and melanoma previously examined for sleep-related symptoms and the presence of PSG (polysomnography)-determined OSA, ≥ 3 years post-treatment; and to evaluate how CPAP treatment affects sleep-related symptoms in patients previously diagnosed with OSA. METHODS: Patients initially recruited from breast cancer, endometrial cancer, and melanoma follow-up clinics at Westmead Hospital (Sydney, Australia) participated in this questionnaire-based study. Demographic and change in cancer status data were collected at follow-up. Patients completed the Pittsburgh Sleep Quality Index [poor sleep quality, PSQITOTAL ≥ 5au], Insomnia Severity Index, Epworth Sleepiness Scale and Functional Outcomes of Sleep Questionnaire; with ΔPSQITOTAL ≥ 3au indicating a clinically meaningful change in sleep quality over follow-up. PSG-determined OSA was confirmed using the apnoea-hypopnoea index. CPAP compliance was determined via self-report (CPAP compliant, CPAP; not compliant, non-CPAP). Logistic regression models determined if changes in cancer status, AHI, cancer subgroup or CPAP treatment was predictive of ΔPSQITOTAL ≥ 3 au and p < 0.05 indicated statistical significance. RESULTS: The 60 patients recruited had breast cancer (n = 22), endometrial cancer (n = 15), and melanoma (n = 23). Cancer subgroups were similarly aged, and all had median follow-up PSQITOTAL scores ≥ 5au; breast cancer patients scoring the highest (p < 0.05). The CPAP group had significantly reduced PSQITOTAL scores (p = 0.02) at follow-up, unlike the non-CPAP group. Cancer subgroups had similar median ISITOTAL, ESSTOTAL and FOSQ-10TOTAL scores at follow-up, regardless of CPAP treatment. There were no significant predictors of ΔPSQITOTAL ≥ 3 au at follow-up. CONCLUSION: Sleep-related symptoms persist in patients with cancer ≥ 3 years after treatment, although these symptoms improve with CPAP. Future studies should evaluate how CPAP affects survival outcomes in cancer patients with comorbid OSA.

Cancer sleep symptom-related phenotypic clustering differs across three cancer specific patient cohorts.

Specific sleep disorders have been linked to disease progression in different cancers. We hypothesised sleep symptom clusters would differ between cancer types. The aim of this study was to compare sleep symptom clusters in post-treatment melanoma, breast and endometrial cancer patients. Data were collected from 124 breast cancer patients (1 male, 60 ± 15 years, 28.1 ± 6.6 kg/m2 ), 82 endometrial cancer patients (64.0 ± 12.5 years, 33.5 ± 10.4 kg/m2 ) and 112 melanoma patients (59 male, 65.0 ± 18.0 years, 29.1 ± 6.6 kg/m2 ). All patients completed validated questionnaires to assess sleep symptoms, including the Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), and Functional Outcomes of Sleep Questionnaire-10 (FOSQ-10). Snoring, tiredness, observed apneas, age, BMI, and gender data were also collected. Binary values (PSQI, ISI, FOSQ), or continuous variables for sleepiness (ESS) and perceived sleep quality (PSQI), were created and sleep symptom clusters were identified and compared across cancer cohorts. Four distinct sleep symptom clusters were identified: minimally symptomatic (n = 152, 47.7%); insomnia-predominant (n = 87, 24.9%); very sleepy with upper airway symptoms (n = 51, 16.3%), and severely symptomatic with severe dysfunction (n = 34, 11.1%). Breast cancer patients were significantly more likely to be in the insomnia predominant or severely symptomatic with severe dysfunction clusters, whereas melanoma patients were more likely to be minimally symptomatic or sleepy with upper airway symptoms (p <0.0001). Endometrial cancer patients were equally distributed across symptom clusters. Sleep symptom clusters vary across cancer patients. A more personalised approach to the management of sleep-related symptoms in these patients may improve the long term quality of life and survival.

A consensus opinion amongst stakeholders as to benefits of obstructive sleep apnoea treatment for cardiovascular health.

BACKGROUND AND OBJECTIVE: Obstructive sleep apnoea (OSA) is a prevalent sleep disorder associated with increased cardiovascular morbidity and mortality. Whether treatment of OSA improves cardiovascular risk remains controversial. Our aim was to determine a consensus opinion of key sleep medicine stakeholder groups as to the cardiovascular benefits of treating moderate-severe OSA. METHODS: A multidisciplinary panel was assembled from representatives from the Australasian Sleep Association, Sleep Health Foundation, Australasian Sleep Technologists Association, the Sleep Health Foundation Business Council and the Sleep Disorders Australia patient support group. Three statements reflecting areas of controversy related to cardiovascular benefits of OSA treatment were created. A modified RAND/UCLA appropriateness methodology was applied determining the panel's level of consensus and agreement with each statement. RESULTS: Voting results indicated the panel: (1) remained unsure whether moderate-severe OSA treatment improves rates of cardiovascular events/death, (2) agreed that moderate-severe OSA treatment improves blood pressure in patients with hypertension and (3) mostly agreed that moderate-severe OSA treatment improves left ventricular function in patients with heart failure. Consensus of opinion was achieved for statements (1) and (2), but was narrowly missed for statement (3). CONCLUSION: The panel believed that findings from large-scale randomized trials indicate that treatment of moderate-severe OSA has not been established to improve cardiovascular event or morbidity/mortality rates. Strong evidence supports the ability of treatment to reduce blood pressure. Whilst many panel members believed that treatment improves left ventricular function, some were uncertain of the clinical significance of this secondary endpoint measure derived from lesser quality evidence.

Body composition and micronutrient deficiencies in patients with an acute exacerbation of chronic obstructive pulmonary disease.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a multisystem disorder. Abnormal body composition (BC) and micronutrient deficiencies (MD) contribute significantly to morbidity associated with acute exacerbations of COPD (AECOPD). COPD is a major health problem in Western Sydney. AIMS: To study the pattern of BC and MD in patients admitted with an AECOPD to Western Sydney. METHODS: The BC and serum levels of selected micronutrients were recorded in prospective, consecutive patients admitted to hospital with AECOPD in Western Sydney. RESULTS: A total of 94 patients was enrolled, 43% female, and the average age was 69.8 ± 8.2 years (SD). Admission spirometry revealed a mean spirometric ratio of 0.42 ± 0.14 (SD) and a severely reduced mean percentage FEV1 of predicted at 29.1% ± 11.6 (SD). A total of 51% of the population was overweight or obese, with an average body mass index of 25.9 ± 7.7 kg/m2 (SD). When fat-free mass (FFM) was also considered 23% were cachectic, 9% had muscle atrophy and 6% were semi-starved. Vitamin D deficiency (<50 nmol/L) was present in 53% and vitamin B12 deficiency (<222 pmol/L) was present in 31%. Anaemia was present in 30%, with 38% of these being iron deficient. Living status (alone or with family) was not associated with BC or micronutrient deficiencies (MD). Patients with ≥2 hospital admissions for AECOPD had a significantly lower mean B12 level (280.5 ± 143.0 pmol/L (SD) vs 360.5 ± 198.1 pmol/L (SD) P = 0.042). The malnutrition screening tool, a questionnaire-based assessment of malnutrition used by the local health area did not accurately predict patients with abnormal BC or those with >2 MD. CONCLUSIONS: In patients admitted with AECOPD, the majority of subjects were overweight or obese, with a low FFM. MD, in particular B12 and vitamin D, were common. Interventional studies addressing BC and MD are required to assess potential improvements in AECOPD-related morbidity and mortality.

Anthropometric and craniofacial sexual dimorphism in obstructive sleep apnea patients: is there male-female phenotypical convergence?

Obstructive sleep apnea (OSA) is more common in men than women. Body size is greater in males (sexual dimorphism), but large body habitus is associated with OSA for both genders. We speculated that male-female phenotypical convergence (reduced sexual dimorphism via identical phenotype acquisition) occurs with OSA and tested hypotheses: (1) phenotypical features pathogenic for OSA differ between OSA and healthy subjects irrespective of gender; and (2) such characteristics exhibit phenotypical convergence. Utilizing an existing database, we calculated male-female (group average) ratios for eight anthropometric and 33 surface cephalometric variables from 104 Caucasian OSA patients [72 males; apnea-hypopnea index (events h(-1) ): males: 42.3 ± 24.7 versus females: 42.6 ± 26.1 (P > 0.9)] and 85 Caucasian, healthy, non-OSA, community volunteers (36 males). Log-transformed data were analysed using a general linear model with post-hoc unpaired t-tests and significance at P < 0.0012 (Bonferroni multiple-comparison correction). OSA patients were older (56.9 ± 14.4 versus 38.0 ± 13.8 years), but there were no within-group gender-based age differences. All anthropometric variables (except height), plus cranial base width, mandibular breadth and retromandibular width diagonal were larger in gender-matched OSA versus healthy comparisons; thus satisfying hypothesis (1). Male-female ratios were mostly >1.0 across groups, but with no significant group × gender interactions no variable satisfied hypothesis (2). Thus, in this exploratory study, OSA patients had gender-common phenotypical differences to healthy subjects, but sexual dimorphism was preserved. Lack of complete phenotypical convergence may indicate gender-based critical phenotype-level attainment for OSA and/or gender-based OSA prevalence arises from factors other than those in this study.

Surface cephalometric and anthropometric variables in OSA patients: statistical models for the OSA phenotype.

STUDY OBJECTIVE: We used statistical modelling to probe the contributions of anthropometric and surface cephalometric variables to the OSA phenotype. DESIGN: The design is prospective cohort study. SETTING: The setting is community-based and sleep disorder laboratory. PATIENTS OR PARTICIPANTS: Study #1-Model development study: 147 healthy asymptomatic volunteers (62.6 % Caucasian; age, 18-76 years; 81 females; median multivariable apnea prediction index=0.15) and 140 diagnosed OSA patients (84.3 % Caucasian; age, 18-83 years; 41 females; polysomnography [PSG] determined apnea-hypopnea index >10 events/h). Study #2-Model test study: 345 clinic patients (age, 18-86 years; 129 females) undergoing PSG for diagnosis of OSA. INTERVENTION: We measured 10 anthropometric and 34 surface cephalometric dimensions (calipers) and calculated mandibular enclosure volumes for study #1 and recorded age and neck circumference for study #2. Statistical modelling included principal component (PC), logistic regression, and receiver-operator curve analyses. MEASUREMENTS AND RESULTS: Model development study: A regression model incorporating three identified PC predicted OSA with 88 % sensitivity and specificity. However, a simplified model based on age and NC alone was equally effective (87 % sensitivity and specificity). Model test study: The simplified model predicted OSA with high sensitivity (93 %) but poor specificity (21 %). CONCLUSION: We conclude that in our clinic-based cohort, craniofacial bony and soft tissue structures (excluding neck anatomy) do not play a substantial role in distinguishing patients with OSA from those without. This may be because craniofacial anatomy does not contribute greatly to the pathogenesis of OSA in this group or because referral bias has created a relatively homogeneous phenotypic population.

Making sense of narcolepsy: A qualitative exploration of how persons with narcolepsy perceive symptoms and their illness experience.

INTRODUCTION: Understanding how persons with narcolepsy conceptualize symptoms, daily impact and illness experience is key to facilitating dialogue between patients and healthcare professionals. These concepts are usually explored from the perspective of healthcare professionals/researchers and rarely from the perspective of those with narcolepsy. METHODS: 127 self-reported persons with narcolepsy were recruited from an Australian patient support group. A short demographic survey was completed. All agreed to participate in a subsequent 1:1 semi-structured interview. Saturation was reached after 24 interviews (mean age = 33 years (SD 11) with 44% reporting cataplexy). A multidisciplinary team of researchers/clinicians analyzed interview transcripts using thematic analysis. RESULTS: Participants perceived physical fatigue, sleepiness, and two separate experiences of 'falling asleep/sleep attacks' as distinct symptoms rather than a multidimensional construct (i.e. excessive daytime sleepiness). We also identified two experiences of cataplexy, one triggered by acute emotion and another by a stressor. Participants determined their narcolepsy to be 'well-managed' by the level of functional impairment rather than the frequency of any symptom. Almost all participants described experiencing anticipated stigma and internalized or 'self-' stigma, likely stemming from societal devaluation of sleep and the conflation of sleepiness with laziness. CONCLUSION: Descriptions of common symptoms often differed between participants and the existing literature. These differences likely impact patient-physician communication, with both parties utilizing the same terminology to communicate different concepts. The characterization of stigma in narcolepsy presents opportunities for future research exploring the impact and possible development of interventions to reduce the substantial psychological comorbidity in persons with narcolepsy.

A qualitative exploration of the lived experience of mothers caring for a child with narcolepsy.

STUDY OBJECTIVES: Parents/carers of a child with narcolepsy are often required to become experts in narcolepsy and navigate health care, education, and welfare systems on behalf of their child. Managing pediatric narcolepsy is complex and challenges the child and the entire family, yet few studies have explored carers' experiences. METHODS: Twenty mothers (50% had a child with narcolepsy < 18 years at the time of interview; 85% narcolepsy with cataplexy) participated in a 1:1 semistructured interview. Participation from fathers was sought; however, none were recruited. A multidisciplinary team of researchers/clinicians analyzed interview transcripts using thematic analysis. RESULTS: Mothers perceived that most people misunderstood the whole-person impact of narcolepsy, including their child's peers, teachers, and support networks. Narcolepsy had a substantial psychological impact on both the child and the whole family yet was largely unaddressed by health care professionals, leaving mothers unsure of where to turn for help. Most parents described negative experiences with their child's specialist, often perceiving the specialists to lack knowledge specific to narcolepsy. Information about illness trajectory and support services was limited or inaccessible, fueling many mothers' hopes and fears for their child's future. Mothers also frequently described feelings of abandonment by the health care system. CONCLUSIONS: Our results contextualize the whole-person impact of narcolepsy from the perspective of parents and carers, highlighting the need for proactive inclusion of parents/carers in developing health care policy and practice. It calls for developing tools and resources to capture "well-managed" narcolepsy from the perspective of parents/carers for use in research and clinical practice. CITATION: Schokman A, Cheung J, Klinner C, et al. A qualitative exploration of the lived experience of mothers caring for a child with narcolepsy. J Clin Sleep Med. 2024;20(5):699-707.

Heart rate variability analysis in obstructive sleep apnea patients with daytime sleepiness.

STUDY OBJECTIVES: Recent studies suggest that sleepy patients with obstructive sleep apnea (OSA) are at higher risk for incident cardiovascular disease. This study assessed cardiac autonomic function in sleepy versus non-sleepy patients with OSA using heart rate variability (HRV) analysis. We hypothesized that HRV profiles of sleepy patients would indicate higher cardiovascular risk. METHODS: Electrocardiograms (ECG) derived from polysomnograms (PSG) collected by the Sydney Sleep Biobank were used to study HRV in groups of sleepy (ESS ≥ 10) and non-sleepy OSA patients (ESS < 10). HRV parameters were averaged across available ECG signals during N2 sleep. RESULTS: A total of 421 patients were evaluated, with a mean age of 54 (14) years, body mass index of 33 (9) kg/m2, apnea-hypopnea index of 21 (28) events/h, and 66% male. The sleepy group consisted of 119 patients and the non-sleepy group 302 patients. Sleepy patients exhibited lower HRV values for: root mean square successive difference (RMSSD, p = 0.028), total power (TP, p = 0.031), absolute low frequency (LF, p = 0.045), and high-frequency (HF, p = 0.010) power compared to non-sleepy patients. Sleepy patients with moderate-to-severe OSA exhibited lower HRV values for: (RMSSD, p = 0.045; TP, p = 0.052), absolute LF (p = 0.051), and HF power (p = 0.025). There were no differences in other time and frequency domain HRV markers. CONCLUSIONS: This study shows a trend toward parasympathetic withdrawal in sleepy OSA patients, particularly in moderate-to-severe cases, lending mechanistic support to the link between the sleepy phenotype and CVD risk in OSA.

Characterisation of Symptom and Polysomnographic Profiles Associated with Cardiovascular Risk in a Sleep Clinic Population with Obstructive Sleep Apnoea.

Aim: Recent data have identified specific symptom and polysomnographic profiles associated with cardiovascular disease (CVD) in patients with obstructive sleep apnoea (OSA). Our aim was to determine whether these profiles were present at diagnosis of OSA in patients with established CVD and in those with high cardiovascular risk. Participants in the Sydney Sleep Biobank (SSB) database, aged 30-74 years, self-reported presence of CVD (coronary artery disease, cerebrovascular disease, or heart failure). In those without established CVD, the Framingham Risk Score (FRS) estimated 10-year absolute CVD risk, categorised as "low" (<6%), "intermediate" (6-20%), or "high" (>20%). Groups were compared on symptom and polysomnographic variables. Results: 629 patients (68% male; mean age 54.3 years, SD 11.6; mean BMI 32.3 kg/m2, SD 8.2) were included. CVD was reported in 12.2%. A further 14.3% had a low risk FRS, 38.8% had an intermediate risk FRS, and 34.7% had a high risk FRS. Groups differed with respect to age, sex and BMI. OSA severity increased with established CVD and increasing FRS. The symptom of waking too early was more prevalent in the higher FRS groups (p=0.004). CVD and FRS groups differed on multiple polysomnographic variables; however, none of these differences remained significant after adjusting for age, sex, and BMI. Conclusion: Higher CVD risk was associated with waking too early in patients with OSA. Polysomnographic variations between groups were explained by demographic differences. Further work is required to explore the influence of OSA phenotypic characteristics on susceptibility to CVD.

Echocardiographic Assessment in Patients Recovered from Acute COVID-19 Illness.

Coronavirus (COVID-19) infections have spread rapidly worldwide and posed an immense public health problem. COVID-19 infection can affect the cardiovascular system both acutely and in patients followed up some period after COVID-19 infection. The aim of this study was to evaluate left ventricular (LV) and right ventricular (RV) function by echocardiography in COVID-19 recovered patients (hospitalized and non-hospitalized). Forty-two patients who recovered from COVID-19 but had ongoing symptoms were included in this retrospective observational cross-sectional study. Patients were followed-up at a median time of 112 days from confirmed COVID-19 diagnosis and a comprehensive echocardiogram was performed. COVID-19 patients were age- and sex-matched to healthy controls. Traditional TTE parameters and advanced echocardiographic parameters including two-dimensional LV global longitudinal strain (GLS) and RV free wall strain (FWS) were measured. LV volumes and LV ejection fraction were similar in COVID-19 patients and controls; however, LV GLS was significantly worse in the COVID-19 group (p = 0.002). Similarly, RV volumes and traditional RV function parameters were similar, but RV FWS (p = 0.009) and RV global strain (p = 0.015) were reduced. Alterations in LV and RV strain were observed in both hospitalized and non-hospitalized patients. In the subset of COVID-19 patients without any co-morbidities (n = 30), LV GLS remained reduced compared to controls. According to multivariate analysis, COVID-19 infection was the only independent determinant of reduced LV GLS (p = 0.012), while COVID-19 infection, diastolic blood pressure, and RV fractional area change were determinants of RV FWS. In this observational study, prior COVID-19 infection demonstrated LV dysfunction in patients with persistent symptoms. Abnormal LV strain was evident in both hospitalized and non-hospitalized patients, suggesting that these changes are independent of the severity of COVID-19 infection at presentation. The use of LV GLS in COVID-19 patients could have potential clinical utility to support the indication for cardiac magnetic resonance imaging in patients with possible COVID-19 related myocarditis. Future longitudinal studies are needed to evaluate its correlation with adverse cardiovascular events.

Sleep disordered breathing has minimal association with retinal microvascular diameters in a non-diabetic sleep clinic cohort.

INTRODUCTION: Obstructive sleep apnea (OSA) may increase stroke risk; retinal arteriolar (central retinal arteriolar equivalent, CRAE) diameter narrowing and/or retinal venular (central retinal venule equivalent, CRVE) widening may predict stroke. We examined relationships between sleep disordered breathing (SDB) and CRAE and CRVE and in a diabetes-free sleep clinic cohort. METHODS: Patients for SDB assessment were recruited (Main Group, n = 264, age: 58.5 ± 8.9 yrs [mean ± SD]; males: 141) for in-laboratory polysomnography (standard metrics, eg apnea hypopnea index, AHI) and retinal photographs (evening and morning). A more severe SDB sub-group (n = 85) entered a 12-month cardiovascular risk factor minimisation (hypertension/hypercholesterolemia control; RFM) and continuous positive airway pressure (CPAP) intervention (RFM/CPAP Sub-Group); successfully completed by n = 66 (AHI = 32.4 [22.1-45.3] events/hour, median[IQR]). Univariate (Spearman's correlation, t-test) and multiple linear regression models examined non-SDB and SDB associations with CRAE and CRVE measures. RESULTS: Main Group: Evening CRAE predictors were: systolic blood pressure (0.18µm decrease per mmHg, p = 0.001), age (2.47µm decrease per decade, p = 0.012), Caucasian ethnicity (4.45 µm versus non-Caucasian, p = 0.011), height (0.24 µm decrease per cm increase, p = 0.005) and smoking history (3.08 µm increase, p = 0.052). Evening CRVE predictors were: Caucasian ethnicity (11.52 µm decrease versus non-Caucasian, p>0.001), diastolic blood pressure (0.34 µm increase in CRVE per mmHg, p = 0.001), hypertension history (6.5 µm decrease, p = 0.005), and smoking history (4.6 µm increase, p = 0.034). No SDB metric (all p>0.08) predicted CRAE or CRVE measures. RFM/CPAP Sub-Group: A one-unit increase in ln(AHI+1) was associated with a 0.046µm increase in CRAE (n = 85; p = 0.029). Mean evening CRAE and CRVE values did not change across the intervention (n = 66), but evening CRVE decreased ~6.0 µm for individuals with AHI >30 events/hr. CONCLUSION: No major SDB associations with CRAE or CRVE were identified, although the RFM/CPAP intervention reduced evening CRVE for severe OSA patients. Implications for cerebro-vascular disease risk remain uncertain. TRIAL REGISTRATION: The protocol was registered with the Australian New Zealand Clinical Trials Registry (Trial Id: ACTRN12620000694910).