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1.
Sleep Med ; 107: 55-63, 2023 07.
Artigo em Inglês | MEDLINE | ID: mdl-37119621

RESUMO

OBJECTIVE: This study explored the role of obstructive sleep apnea (OSA) in post stroke anxiety (PSA) in noncardiogenic ischemic stroke patients. METHODS: 180 patients with noncardiogenic ischemic stroke were consecutively enrolled from January 2019 to December 2019. All patients underwent polysomnography (PSG) to assess for OSA. OSA severity was identified based on the apnea hypopnea index (AHI), i.e., no OSA (AHI <5), mild OSA (5 = AHI <15), and moderate to severe OSA (AHI ≥15). Neuropsychological assessments were performed at acute phase and 6 months later to evaluate anxiety (Chinese version of the Zung self-rating anxiety scale [SAS], and Beck Anxiety Inventory [BAI]), depression (Patient Health Questionnaire-9, [PHQ-9]), and cognition (Mini-mental state examination, [MMSE], and Montreal Cognitive Assessment, [MOCA]). Clinical diagnoses of PSA were made based on interviews and the anxiety scales. The correlations between PSA and OSA were investigated in Logistic regression analysis. RESULTS: The prevalence of acute-phase and 6-month PSA were 27 (15%) and 52 (28.9%) respectively. Moderate to severe OSA and post-stroke depression (PSD) were the influencing factors of acute-phase PSA. 6-Month PSA was not associated with OSA but was associated with acute-phase anxiety, education status and MOCA. Logistic regression analysis including respiratory and sleeping parameters showed that AHI and micro-arousal index contributed to acute-phase PSA. CONCLUSIONS: Acute-phase PSA was associated with OSA severity, potentially through OSA-caused sleep discontinuity. While 6-month PSA was associated with acute-phase anxiety, highlighting the need for integration of screening for and management of OSA and PSA at acute phase.


Assuntos
AVC Isquêmico , Apneia Obstrutiva do Sono , Acidente Vascular Cerebral , Humanos , AVC Isquêmico/complicações , Acidente Vascular Cerebral/complicações , Apneia Obstrutiva do Sono/complicações , Apneia Obstrutiva do Sono/epidemiologia , Apneia Obstrutiva do Sono/diagnóstico , Ansiedade/epidemiologia , Ansiedade/etiologia , Sono
2.
Nat Sci Sleep ; 14: 1829-1842, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36263372

RESUMO

Purpose: This study investigated the associations of peripheral iron status with different manifestations of restless legs syndrome (RLS), including leg movements (LMs) on polysomnography (PSG), disease severity, and impact on patients. Patients and Methods: In this cross-sectional study, 108 patients with RLS were enrolled at Sir Run Run Shaw Hospital's Center for Sleep Medicine. Demographic information, disease characteristics, RLS severity, and impact on patients were assessed through a semi-structured questionnaire. Peripheral iron indicators [serum ferritin, iron, and transferrin concentrations; unsaturated iron-binding capacity (UIBC) and total iron-binding capacity (TIBC); transferrin saturation (TSAT)] were measured following PSG to assess sleep stages, respiratory events, microarousals and LM parameters. Data from patients with and without ferritin concentration < 50 µg/L were compared in crude analyses, and Spearman correlations of other iron indicators with RLS data were examined. An ordinal logistic regression model was used to adjust for age, sex, body mass index, years of education, age at the time of RLS onset, prior treatment (yes/no), C-reactive protein (CRP)/hemoglobin level, total sleep time and apnea-hypopnea index. Results: Multivariate analysis showed that periodic LMs during sleep (PLMS) and other LM parameters were significantly associated with a ferritin concentration < 50 µg/L, UIBC, TIBC, and serum transferrin concentration, but not serum iron or TSAT. By contrast, the severity and impact of RLS were not associated with a ferritin concentration < 50 µg/L or other peripheral iron indicators in the multivariate model. Conclusion: In this study, peripheral iron status was associated mainly with motor components (LMs on PSG) rather than sensory components (severity and impact of RLS) after adequately controlling for potential confounders, such as CRP and hemoglobin levels. Commonly used peripheral iron metabolism indicators may therefore not be ideal biomarkers of RLS severity or impact on patients.

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