Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019 (COVID-19) survivors, few studies have focused on the effect of post-COVID-19 sleep disturbance (PCSD) on cognitive function. This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition. This cross-sectional study was conducted via the web-based assessment in Chinese mainland. Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment (ICA) and the Number Ordering Test (NOT). Propensity score matching (PSM) was utilized to match the confounding factors between individuals with and without PCSD. Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function. The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression. A total of 8692 individuals with COVID-19 diagnosis were selected for this study. Nearly half (48.80%) of the COVID-19 survivors reported sleep disturbance. After matching by PSM, a total of 3977 pairs (7954 individuals in total) were obtained. Univariate analyses revealed that PCSD was related to worse ICA and NOT performance (P<0.05). Underlying disease, upper respiratory infection, loss of smell or taste, severe pneumonia, and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals (P<0.05). Furthermore, aging, ethnicity (minority), and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals (P<0.05). PCSD was related to impaired neurocognitive performance. Therefore, appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.
Humans ; COVID-19/epidemiology* ; Male ; Female ; Sleep Wake Disorders/epidemiology* ; Propensity Score ; Middle Aged ; Cross-Sectional Studies ; Adult ; SARS-CoV-2 ; Aged ; Risk Factors ; China/epidemiology* ; Cognition ; Cognitive Dysfunction/etiology* ; Neuropsychological Tests

To analyze correlation among serum homocysteine (Hcy) ,Cysteine C (CysC) levels and severi‐ ty of coronary artery disease .Methods : A total of 220 coronary heart disease (CHD) patients treated in our hospital from Sep 2015 to Dec 2017 were selected as CHD group .According to Gensini score ,CHD group were divided into mild stenosis group (n＝ 63 ) ,moderate stenosis group (n＝ 71 ) and severe stenosis group (n＝ 86 ).Another 200 healthy people were enrolled as healthy control group .Serum Hcy and CysC levels were measured and compared a‐mong all groups .Correlation among serum Hcy , CysC levels and severity of coronary artery disease were analyzed . Results : Compared with healthy control group ,there were significant rise in serum Hcy [ (8.29 ± 1.02) μmol／L vs. (16. 14 ± 3.01) μmol／L] and CysC [ (0. 65 ± 0.11) mg／L vs.(1. 21 ± 0.12) mg／L] levels in CHD group .P＝0. 001 all.Compared with mild stenosis group ,there were significant rise in serum Hcy [(9. 31 ± 1.12) μmol／L vs.(12. 13 ± 3.32) μmol／L vs.(14.61 ± 3.82) μmol／L] and CysC [ (1.05 ± 0.21) mg／L vs.(1. 51 ± 0. 52) mg／L vs.(3.42 ± 1.01) mg／L] levels in moderate stenosis group and severe stenosis group ,and those of severe stenosis group were significantly higher than those of moderate stenosis group , P＝0.001 all.Pearson correlation analysis indicated that serum Hcy ( r＝0.431 , P＝0.004) , CysC ( r＝0.640 , P＝0. 003) levels were significant positively correlated with Gensini score .Conclusion :Serum Hcy and CysC levels is closely correlated with severity of coronary artery disease . Its detect is help for therapeutic effect and prognosis assessment for CHD patients .