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OBJECTIVES: Sleep disturbance is common in autoimmune rheumatism diseases (ARD) and it plays an important role in activating disease and affects the quality of life. This study aims to evaluate the efficacy and acceptability of the novel electrical therapy on sleep disturbance in ARD patients and its effect on immunologic factors. METHODS: A total of 51 ARD patients (26 treatment group and 25 control group) with sleep disturbance were enrolled in this study. Sleep parameters and immunological indicators (serum level of 12 cytokines and immune function) were collected. The novel electrical therapy was prescribed for 15-30 min 3-6 times a day. The Pittsburg Sleep Index (PSQI) was assessed before and after 3 months' treatment by Mi Energy equipment. Immune function and serum levels of cytokines of all participants at baseline and after treatment were tested with flow cytometry and flow immunofluorescence, respectively. Correlation analysis was used to analyze the relationship between sleep disturbance and immunologic factors. Multiple linear regression analysis was employed to investigate the risk of sleep disturbance in ARD. RESULTS: The global score of PSQI (Baseline: 12.81 ± 4.07, After novel electrical therapy: 4.88 ± 2.76) was effectively improved after 3 months of adjuvant therapy by electrical therapy. We also found that serum levels of IL-8 and IL-1ß statistically significantly decreased after novel electrical therapy. This adjuvant therapy can also significantly decrease the percentage of CD4 + CD8 + T cell, effector memory CD8 + T cell, Memory CD8 + T cell, Th17 cell, and plasma cell and significantly can increase the percentage of naïve CD8 + T cell, Th2 cell, and Tfh2 cell. Nevertheless, all serum level of 12 cytokines and the percentage of immune cells did not correlate with the PSQI global score except the Tc17 cell. Furthermore, age is an independent risk factor influencing PSQI scores (OR = 1.15, p < 0.05) in patients with autoimmune diseases through multiple linear regression analysis. CONCLUSIONS: Novel electrical therapy can effectively improve sleep disturbance in patients with ARD. It can also change the serum level of some cytokines (IL-8 and IL-1ß) and percentage of immune cells (CD4 + CD8 + T cell, effector memory CD8 + T cell, Memory CD8 + T cell, Th17 cell, naïve CD8 + T cell, Th2 cell, Tfh2 cell, and plasma cell).
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Enfermedades Autoinmunes , Enfermedades Reumáticas , Trastornos del Sueño-Vigilia , Humanos , Femenino , Masculino , Enfermedades Reumáticas/terapia , Enfermedades Reumáticas/inmunología , Enfermedades Reumáticas/sangre , Enfermedades Reumáticas/complicaciones , Persona de Mediana Edad , Trastornos del Sueño-Vigilia/etiología , Trastornos del Sueño-Vigilia/sangre , Trastornos del Sueño-Vigilia/terapia , Trastornos del Sueño-Vigilia/diagnóstico , Trastornos del Sueño-Vigilia/fisiopatología , Enfermedades Autoinmunes/sangre , Enfermedades Autoinmunes/terapia , Enfermedades Autoinmunes/diagnóstico , Enfermedades Autoinmunes/complicaciones , Enfermedades Autoinmunes/inmunología , Adulto , Resultado del Tratamiento , Factores de Tiempo , Terapia por Estimulación Eléctrica/métodos , Biomarcadores/sangre , Sueño , Citocinas/sangre , Estudios de Casos y Controles , Calidad del SueñoRESUMEN
BACKGROUND: This study aimed to investigate the accuracy of identifying enthesitis along with other inflammatory lesions and structural lesions on the MRI of the sacroiliac joints (SIJ) by readers of varying experience and how training sessions and workshops could help improve the accuracy. METHODS: A total of 224 patients with clinical diagnosis of axial spondyloarthritis who underwent SIJ MRI examinations were retrospectively included in this study. Three readers with 5 years, 3 years and 1 year of experience in musculoskeletal imaging were invited to review the SIJ MRI images independently, while the imaging reports of a senior radiologist (> 10 years' experience) were used as reference. After the first round of image review, a training session and a workshop on the imaging of SIJ in spondyloarthritis were held and the three readers were asked to review the images in the second round. We calculated the accuracy of identifying inflammatory and structural lesions of the three readers as well as the intra-reader agreement. RESULTS: Enthesitis could be observed in 52.23% of the axial spondyloarthritis patients, while 81.58% of the patients with enthesitis were accompanied with bone marrow edema. All the three readers showed better accuracy at identifying structural lesions than inflammatory lesions. In the first round of image review, the three readers only correctly identified 15.07%, 2.94% and 0.74% of the enthesitis sites. After the training session and workshop, the accuracy rose to 61.03%, 39.34% and 20.22%. The intra-reader agreement of enthesitis calculated as Cohen's kappa was 0.23, 0.034 and 0.014, respectively. CONCLUSION: Readers with less experience in musculoskeletal imaging showed lower accuracy of identifying inflammatory lesions, notably enthesitis. Training sessions and workshops could help improve the diagnostic accuracy of the junior readers.
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Background: Findings of fatty lesions in the context of other imaging manifestations, especially bone marrow edema and erosions can effectively assist in the diagnosis of axSpA. Chemical shift-encoded MRI is a sequence which allows for the quantification of fat signal and has been applied in the imaging evaluation of the SIJ in axSpA. The objective of this study was to investigate the diagnostic performance of morphological features of fatty lesions visualized by CSE-MRI in the imaging evaluation of SIJ in axSpA. Methods: Fatty lesions with morphological features (subchondral, homogeneity and distinct border) were assessed and recorded as a binary variable in each quadrant of the SIJ. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for different morphological features as well as the anatomical distribution in patients with nr-axSpA and r-axSpA. T1-weighted images and CSE-MRI fat fraction maps were directly compared in the recognition of different morphological features. Results: Eighty-two patients [non-SpA (n = 21), nr-axSpA (n = 23), r-axSpA (n = 38)] with lower back pain (LBP) were enrolled. Presence of the three morphological features of fatty lesions had a specificity of 90.48% in axSpA. The sensitivities of being subchondral, homogeneity and distinct border were 52.17, 39.13 and 39.13% in nr-axSpA on T1-weighted images. For patients with r-axSpA, the sensitivities reached 86.84, 76.32 and 57.89%. No significant difference was found in the distribution of fatty lesions between T1-weighted images and CSE-MRI. However, CSE-MRI fat fraction maps could detect significantly more fatty lesions with homogeneity (p = 0.0412) and distinct border (p = 0.0159) than T1-weighted images in the sacroiliac joint, but not subchondral lesions (p = 0.6831). Conclusion: The homogeneity and distinct border are more relevant for the diagnosis of axSpA. Moreover, CSE-MRI could detect more typical morphological features of fatty lesions than T1-weighted images in showing these two features. The presence of all three features was more likely to be indicative of axSpA.
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Objective: To study whether ankylosing spondylitis (AS) has a causal effect on the risk of atrial fibrillation (AF) using two-sample Mendelian randomization (MR) analysis. Methods: Single nucleotide polymorphisms (SNPs) were selected as independent instrumental variables (IVs) from a GWAS study of AS. Summary data from a large-scale GWAS meta-analysis of AF was utilized as the outcome dataset. Inverse-variance weighted (IVW) model was used for the primary analysis. Multiple sensitivity and heterogeneity tests were conducted to confirm the robustness of the results. Results: In total, 18 SNPs were identified as IVs for MR analysis. Five MR methods consistently found that ankylosing spondylitis was not causally associated with atrial fibrillation (IVW: OR = 0.983 (0.894, 1.080), p = 0.718; MR-Egger: OR = 1.190 (0.973, 1.456), p = 0.109; Simple mode: OR = 0.888 (0.718, 1.098), p = 0.287; Weighted mode: OR = 0.989 (0.854, 1.147), p = 0.890; Weight median: OR = 0.963 (0.852, 1.088), p = 0.545). Leave-one-out analysis supported the stability of MR results. Both the MR-Egger intercept and MR-PRESSO method revealed the absence of horizontal pleiotropy. Conclusion: The two-sample MR analysis did not support a causal relationship between AS and the risk of AF.
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BACKGROUND: Schizophrenia (SZ) and bipolar disorder with psychosis (BDP) can be clinically confusing. The specific connectomic changes in SZ compared with BDP may lead to a deeper comprehension of the pathophysiological core of SZ. Therefore, this study explored the common and distinct white matter (WM) structural connectomic alterations between these two diseases. METHOD: Diffusion tensor imaging data were collected from 19 drug-naïve patients with first episode SZ, 19 drug-naïve patients with BDP, and 19 healthy controls (HC). A graph theoretical approach was used to assess the brain WM network properties. RESULTS: Except for the clustering coefficients, no significant differences in the global parameters was found between SZ and BDP. Five brain regions, the right precentral, right post-cingulum, right insula, left superior occipital, and left inferior temporal gyri, showed specific differences in the nodal parameters in SZ compared with BDP and HC. Nine brain regions, the left rectus, left lingual, right inferior parietal, left superior temporal, right precentral, right postcentral, bilateral middle frontal, and right post-cingulum gyri, showed specific differences in the nodal parameters in BDP. Significant correlations between clinical symptoms and connectomic changes were detected in the right insula and left superior occipital gyrus in patients with SZ but in the left lingual gyrus in patients with BDP. CONCLUSIONS: Identifying shared and distinct WM structural networks between SZ and BDP may improve the understanding of the neuroanatomy of mental diseases. Specifically, the insula, the inferior temporal, superior temporal, and the lingual gyri may help to distinguish between SZ and BDP.
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Trastorno Bipolar , Conectoma , Trastornos Psicóticos , Esquizofrenia , Sustancia Blanca , Trastorno Bipolar/diagnóstico por imagen , Encéfalo/diagnóstico por imagen , Imagen de Difusión Tensora , Humanos , Imagen por Resonancia Magnética , Esquizofrenia/diagnóstico por imagen , Sustancia Blanca/diagnóstico por imagenRESUMEN
AIM: Duration of untreated psychosis (DUP) is associated with outcome and functioning. It is expected that scientists will find factors that modulate DUP, but thus far, research on this topic has shown inconsistent results. Furthermore, similar studies in China are insufficient. This study aims to explore social and clinical factors for DUP in South China and to learn the influence that family plays on DUP through their awareness of psychosis. METHODS: Participants included 216 patients with first episode schizophrenia spectrum disorder. The Nottingham Onset Schedule was used to assess DUP. The relationship between DUP and social and clinical characteristics were then analysed by correlation analysis, survival analysis and Cox regression analysis. The awareness of the patient's family for the cause of psychosis, the reason for treatment and the cause for delay of treatment were investigated using a questionnaire. RESULTS: The median DUP was 64.5 days. Insidious onset and being unemployed were found to be risk factors for a long DUP. The family attributed the main cause of psychosis to stress. The main cause for the delay of treatment was because families misjudged the patients' disease. More family members of long DUP patients compared to short DUP patients thought the causes were due to ideological problems or puberty, rather than to mental health. CONCLUSION: The results of this study indicated that some social or clinical characteristics influence DUP. The family's awareness plays an important role when seeking help. To reduce DUP, the public needs more knowledge of mental illness.