Efficacy of electro-acupuncture versus sham acupuncture for diabetic peripheral neuropathy: study protocol for a three-armed randomised controlled trial.

INTRODUCTION: Specific treatment for diabetic peripheral neuropathy (DPN) is still lacking, and acupuncture may relieve the symptoms. We intend to investigate the efficacy and safety of electro-acupuncture (EA) in alleviating symptoms associated with DPN in diabetes. METHODS AND ANALYSIS: This multicentre, three-armed, participant- and assessor-blind, randomised, sham-controlled trial will recruit 240 eligible participants from four hospitals in China and will randomly assign (1:1:1) them to EA, sham acupuncture (SA) or usual care (UC) group. Participants in the EA and SA groups willl receive either 24-session EA or SA treatment over 8 weeks, followed by an 8-week follow-up period, while participants in the UC group will be followed up for 16 weeks. The primary outcome of this trial is the change in DPN symptoms from baseline to week 8, as rated by using the Total Symptom Score. The scale assesses four symptoms: pain, burning, paraesthesia and numbness, by evaluating the frequency and severity of each. All results will be analysed with the intention-to-treat population. ETHICS AND DISSEMINATION: The protocol has been approved by the Ethics Committee of the Beijing University of Chinese Medicine (Identifier: 2022BZYLL0509). Every participant will be informed of detailed information about the study before signing informed consent. The results of this trial will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: ChiCTR2200061408.

Fecal microbiota as a predictor of acupuncture responses in patients with postpartum depressive disorder.

Background: There are several clinical and molecular predictors of responses to antidepressant therapy. However, these markers are either too subjective or complex for clinical use. The gut microbiota could provide an easily accessible set of biomarkers to predict therapeutic efficacy, but its value in predicting therapy responses to acupuncture in patients with depression is unknown. Here we analyzed the predictive value of the gut microbiota in patients with postpartum depressive disorder (PPD) treated with acupuncture. Methods: Seventy-nine PPD patients were enrolled: 55 were treated with acupuncture and 24 did not received any treatment. The 17-item Hamilton depression rating scale (HAMD-17) was used to assess patients at baseline and after eight weeks. Patients receiving acupuncture treatment were divided into an acupuncture-responsive group or non-responsive group according to HAMD-17 scores changes. Baseline fecal samples were obtained from the patients receiving acupuncture and were analyzed by high-throughput 16S ribosomal RNA sequencing to characterize the gut microbiome. Results: 47.27% patients responded to acupuncture treatment and 12.5% patients with no treatment recovered after 8-week follow-up. There was no significant difference in α-diversity between responders and non-responders. The ß-diversity of non-responders was significantly higher than responders. Paraprevotella and Desulfovibrio spp. were significantly enriched in acupuncture responders, and these organisms had an area under the curve of 0.76 and 0.66 for predicting responder patients, respectively. Conclusions: Paraprevotella and Desulfovibrioare may be useful predictive biomarkers to predict PPD patients likely to respond to acupuncture. Larger studies and validation in independent cohorts are now needed to validate our findings.

Peripheral Blood Inflammatory Cytokine Factors Expressions are Associated with Response to Acupuncture Therapy in Postpartum Depression Patients.

Background: Increasing evidences demonstrate that immune dysregulation can result in depression, and it is reported that persistent inflammatory response is related to the unresponsiveness of antidepressant treatment. Purpose: This study aimed to explore the reason why some responded but some not responded to acupuncture in treating postpartum depression (PPD), and whether it related to the levels of inflammatory cytokines. Patients and Methods: Women diagnosed with PPD were recruited in to accept 8-week acupuncture. All subjects were assessed the 17-item Hamilton Depression Rating Scale (HDRS17) at baseline, week 1, week 2, week 4 and week 8 during the treatment. A panel of 9 cytokines was measured at baseline and 8 weeks. Results: Of the 121 participants, 96 completed the 8-week assessment and 46 completed the blood sample collection. HDRS17 scores of 96 subjects showed significant statistical reduction since the first week (P = 0.002) and reached to 5.31 (P < 0.000) at the end of therapy. And we divided the 46 subjects into responders and non-responders according to the response rate of HDRS17 scores. Responders and non-responders did not differ significantly between-group in changes in the 9 cytokines. In responders, IL-6, IL-10 and IFN-γ levels were statistically lower (P = 0.006; P = 0.033; P = 0.024), while TGF-ß1 was statistically higher after 8 weeks treatment (P < 0.000). In non-responders, the levels of IL-5, TNF-α and TGF-ß1 were statistically higher (P = 0.018; P < 0.000; P < 0.000), while IFN-γ was statistically lower (P = 0.005). Conclusion: Acupuncture could alleviate depressive symptoms of patients with PPD and might through adjusting peripheral inflammatory response by up-regulating anti-inflammatory cytokines and down-regulating pro-inflammatory cytokines.

Hotspots and Trends in Research on Treating Pain with Electroacupuncture: A Bibliometric and Visualization Analysis from 1994 to 2022.

Purpose: Electroacupuncture is widely used to pain management. A bibliometric analysis was conducted to identify the hotspots and trends in research on electroacupuncture for pain. Methods: We retrieved studies published from 1994-2022 on the topic of pain relief by electroacupuncture from the Web of Science Core Collection database. We comprehensively analysed the data with VOSviewer, CiteSpace, and bibliometrix. Seven aspects of the data were analysed separately: annual publication outputs, countries, institutions, authors, journals, keywords and references. Results: A total of 2030 papers were analysed, and the number of worldwide publications continuously increased over the period of interest. The most productive country and institution in this field were China and KyungHee University. Evidence-Based Complementary and Alternative Medicine was the most productive journal, and Pain was the most co-cited journal. Han Jisheng, Fang Jianqiao, and Lao Lixing were the most representative authors. Based on keywords and references, three active areas of research on EA for pain were mechanisms, randomized controlled trials, and perioperative applications. Three emerging trends were functional magnetic resonance imaging (fMRI), systematic reviews, and knee osteoarthritis. Conclusion: This study comprehensively analysed the research published over the past 28 years on electroacupuncture for pain treatment, using bibliometrics and science mapping analysis. This work presents the current status and landscape of the field and may serve as a valuable resource for researchers. Chronic pain, fMRI-based mechanistic research, and the perioperative application of electroacupuncture are among the likely foci of future research in this area.

Corrigendum: Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis.

[This corrects the article DOI: 10.3389/fneur.2022.916966.].

Structural and functional improvement of amygdala sub-regions in postpartum depression after acupuncture.

Objective: This study aimed to analyze the changes in structure and function in amygdala sub-regions in patients with postpartum depression (PPD) before and after acupuncture. Methods: A total of 52 patients with PPD (All-PPD group) were included in this trial, 22 of which completed 8 weeks of acupuncture treatment (Acu-PPD group). An age-matched control group of 24 healthy postpartum women (HPW) from the hospital and community were also included. Results from the 17-Hamilton Depression Scale (17-HAMD) and the Edinburgh Postnatal Depression Scale (EPDS) were evaluated, and resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed at baseline and after the acupuncture treatment. Sub-regions of the amygdala were used as seed regions to measure gray matter volume (GMV) and analyzed for resting-state functional connectivity (RSFC) values separately. Finally, correlation analyses were performed on all patients with PPD to evaluate association values between the clinical scale scores, GMV, and RSFC values, while controlling for age and education. Pearson's correlation analyses were conducted to investigate the relevance between GMV and RSFC values of brain regions that differed before and after acupuncture treatment and clinical scale scores in Acu-PPD patients. Results: The HAMD scores for Acu-PPD were reduced after acupuncture treatment (P < 0.05), suggesting the positive effects of acupuncture on depression symptoms. Structurally, the All-PPD group showed significantly decreased GMV in the left lateral part of the amygdala (lAMG.L) and the right lateral part of the amygdala (lAMG.R) compared to the HPW group (P < 0.05). In addition, the GMV of lAMG.R was marginally increased in the Acu-PPD group after acupuncture (P < 0.05). Functionally, the Acu-PPD group showed a significantly enhanced RSFC between the left medial part of the amygdala (mAMG.L) and the left vermis_6, an increased RSFC between the right medial part of the amygdala (mAMG.R) and left vermis_6, and an increased RSFC between the lAMG.R and left cerebelum_crus1 (P < 0.05). Moreover, correlation studies revealed that the GMV in the lAMG.R was significantly related to the EPDS scores in the All-PPD group (P < 0.05). Conclusion: Our findings demonstrated that the structure of amygdala sub-regions is impaired in patients with PPD. Acupuncture may improve depressive symptoms in patients with PPD, and the mechanism may be attributed to changes in the amygdala sub-region structure and the functional connections of brain areas linked to the processing of negative emotions. The fMRI-based technique can provide comprehensive neuroimaging evidence to visualize the central mechanism of action of acupuncture in PPD.

Functional magnetic resonance imaging studies of acupuncture at ST36: a coordinate-based meta-analysis.

Background: Functional magnetic resonance imaging (fMRI) has been widely used to investigate the brain effect of acupuncture point Stomach 36 (ST36, Zusanli). However, inconsistent results have hindered our understanding of the neural mechanisms of acupuncture at ST36. Objective: To perform a meta-analysis of fMRI studies on acupuncture at ST36 to assess the brain atlas of acupuncture at ST36 from available studies. Method: Based on a preregistered protocol in PROSPERO (CRD42019119553), a large set of databases was searched up to August 9, 2021, without language restrictions. Peak coordinates were extracted from clusters that showed significant signal differences before and after acupuncture treatment. A meta-analysis was performed using seed-based d mapping with permutation of subject images (SDM-PSI), a newly improved meta-analytic method. Results: A total of 27 studies (27 ST36) were included. This meta-analysis found that ST36 could activate the left cerebellum, the bilateral Rolandic operculum, the right supramarginal gyrus, and the right cerebellum. Functional characterizations showed that acupuncture at ST36 was mainly associated with action and perception. Conclusion: Our results provide a brain atlas for acupuncture at ST36, which, besides offering a better understanding of the underlying neural mechanisms, also provides the possibility of future precision therapies.

Consistent functional abnormalities in patients with postpartum depression.

Postpartum depression (PPD) is a common public health concern. A wide range of functional abnormalities in various brain regions have been reported in fMRI studies on PPD, however, a consistent functional changing pattern is still lacking. Herein, we obtained functional Magnetic Resonance Imaging (fMRI) data from 52 patients with PPD and 24 healthy postpartum women (HPW). Functional indexes (low-frequency fluctuation, degree centrality, and regional homogeneity) were calculated and compared among these groups to explore the functional changing patterns of PPD. Then, correlation analyses were performed to investigate the relationship between changed functional indexes and clinical measurements in the PPD. Finally, support vector machine (SVM) was performed to test whether these abnormal features can be used to distinguish PPD from HPW. As a result, we identified significantly and consistently functional changing pattern characterizing by increased functional activity in the left inferior occipital gyrus and decreased functional activity right anterior cingulate cortex in the PPD as compared to HPW. These functional values in the right anterior cingulate cortex were significantly correlated with depression symptoms in the PPD, and can be used as features to distinguish PPD from HPW. In conclusion, our results suggested that the right anterior cingulate cortex could be served as a functional neuro-imaging biomarker for PPD, which might be used as a potential target for neuro-modulation.

[Effect of electroacupuncture at different time points on postoperative urination function in patients with mixed hemorrhoids surgery].

OBJECTIVE: To observe the effect of preoperative, intraoperative and postoperative electroacupuncture (EA) intervention on postoperative urination function in patients with mixed hemorrhoid surgery. METHODS: A total of 240 patients with mixed hemorrhoid surgery under lumbar anesthesia were randomly divided into an EA preconditioning group (group A, 60 cases, 9 cases dropped off), an intraoperative EA group (group B, 60 cases, 4 cases dropped off), a postoperative EA group (group C, 60 cases, 6 cases dropped off), and a non-acupuncture group (group D, 60 cases, 3 cases dropped off). In the groups A, B and C, EA was exerted at Zhongliao (BL 33) and Huiyang (BL 35) , with disperse-dense wave, 4 Hz/20 Hz in frequency, and lasting 30 min, at 30 min before lumbar anesthesia, immediately after lumbar anesthesia and 6 h after surgery, respectively. No EA intervention was performed in the group D. The postoperative urination smoothness score in each group was observed 24 h after surgery. The first urination time, first urination volume, urine residual volume after first urination were recorded, and incidence of indwelling catheterization, postoperative visual analogue scale (VAS) score, number of remedial analgesia, and the incidence of postoperative nausea and vomiting were observed in each group. RESULTS: In the groups A, B and C, the postoperative urination smoothness scores were superior to the group D (P<0.05), and the time of first urination was earlier than the group D (P<0.05). In the group C, the time of first urination was earlier than the group A and the group B (P<0.05), the first urination volume was higher than the group D (P<0.05), and the urine residual volume after first urination was lower than the group D (P<0.05). There was no significant difference in the incidence of indwelling catheterization and postoperative nausea and vomiting among the 4 groups (P>0.05). The VAS scores of the group A, B and C were lower than that in the group D (P<0.05), and the number of remedial analgesia cases was lower than that in the group D (P<0.05). CONCLUSION: EA intervention could promote the recovery of urination function and relieve postoperative pain in patients with mixed hemorrhoids surgery. Early postoperative EA intervention is more conducive to the recovery of urination function.

Practitioners' perspectives on acupuncture treatment for postpartum depression: A qualitative study.

BACKGROUND: Acupuncture may become a treatment for postpartum depression (PPD). Currently, little is known about the use of acupuncture in the treatment of PPD from the point of view of practitioners. The aim of this study was to explore practitioners' perspectives on the treatment of PPD with acupuncture and provide suggestions for future improvement. METHODS: This study employed a qualitative descriptive method. Semistructured, open-ended interviews were conducted with 14 acupuncture practitioners from 7 hospitals via face-to-face or telephone interviews. The data were collected using interview outline from March to May 2022 and analysed using qualitative content analysis. RESULTS: In general, the use of acupuncture for treating PPD was positively regarded by practitioners. They claimed that acupuncture is both safe and helpful for breastfeeding women who are experiencing emotional discomfort and that it can alleviate a variety of somatic symptoms. The following three themes were extracted: (a) patient acceptance and compliance; (b) acupuncture as a treatment for PPD; and (c) the advantages and drawbacks of acupuncture treatment. CONCLUSION: Practitioners' optimistic outlooks demonstrated that acupuncture is a promising treatment option for PPD. However, the time cost was the most significant barrier to compliance. Future development will focus mostly on improving acupuncture equipment and the style of service.

Effectiveness of non-pharmacological treatments for postpartum depression: an umbrella review protocol.

INTRODUCTION: Non-pharmacological treatments for postpartum depression have been investigated in various systematic reviews, and their efficacy has been evaluated. However, the quality of the evidence as a whole has not been quantified. The quality of this evidence may influence the choice of interventions and even cause misleading clinical decisions. This study aims to provide an objective presentation of the methodological bias and identify treatments supported by solid evidence. METHODS AND ANALYSIS: For the purpose of conducting systematic reviews and meta-analyses, a comprehensive search of the relevant published literature will be conducted in English databases such as PubMed, Embase, Cochrane Library, PsycINFO and Scopus, as well as in four Chinese databases: the Chinese Biomedical Databases (CBM), Wan fang database, China National Knowledge Infrastructure and VIP Database (VIP). The time of publication will be limited from their inception to 31 May 2022. We will extract the following data from the included literature: title, first author, journal type of included literature, number and sample size, intervention/control measures, outcome indicators and main study outcomes. The Assessment of Multiple Systematic Reviews-2 will be used to measure the quality of the methods. In addition, we will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement to evaluate the quality of the reporting, as well as the Grading of Recommendations Assessment, Development and Evaluation to evaluate the quality of the evidence. PROSPERO REGISTRATION NUMBER: CRD42021285470.

[Minimal clinically important difference of the frequency of bowel movement for patients with chronic severe functional constipation treated with acupuncture].

OBJECTIVE: To estimate the minimal clinically important difference (MCID) of the frequency of bowel movement for the patients with chronic severe functional constipation treated with acupuncture so as to provide the evidence for the clinical decision. METHODS: In this study, 813 patients with chronic severe functional constipation treated with acupuncture in two previous randomized controlled trials were included. Through the anchor-based method (anchored by the item 28 "satisfaction with previous treatment" of the patient assessment of constipation-quality of life [PAC-QOL]) and the distribution-based method, the MCID of the weekly frequency of complete spontaneous bowel movement (CSBM) and spontaneous bowel movement (SBM) was analyzed statistically in the patients. RESULTS: The MCID of the mean weekly frequency of CSBM and SBM was 1.3 times and 1.6 times in patients with chronic severe functional constipation treated with acupuncture, respectively. CONCLUSION: The mean increase of the weekly CSMB is ≥ 1.3 times and that of SBM is ≥ 1.6 times after treatment when compared with the baseline respectively, suggesting the clinical significance.

Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis.

Background: Stroke is the second leading cause of death worldwide, causing a considerable disease burden. Ischemic stroke is more frequent, but haemorrhagic stroke is responsible for more deaths. The clinical management and treatment are different, and it is advantageous to classify their risk as early as possible for disease prevention. Furthermore, retinal characteristics have been associated with stroke and can be used for stroke risk estimation. This study investigated machine learning approaches to retinal images for risk estimation and classification of ischemic and haemorrhagic stroke. Study design: A case-control study was conducted in the Shenzhen Traditional Chinese Medicine Hospital. According to the computerized tomography scan (CT) or magnetic resonance imaging (MRI) results, stroke patients were classified as either ischemic or hemorrhage stroke. In addition, a control group was formed using non-stroke patients from the hospital and healthy individuals from the community. Baseline demographic and medical information was collected from participants' hospital medical records. Retinal images of both eyes of each participant were taken within 2 weeks of admission. Classification models using a machine-learning approach were developed. A 10-fold cross-validation method was used to validate the results. Results: 711 patients were included, with 145 ischemic stroke patients, 86 haemorrhagic stroke patients, and 480 controls. Based on 10-fold cross-validation, the ischemic stroke risk estimation has a sensitivity and a specificity of 91.0% and 94.8%, respectively. The area under the ROC curve for ischemic stroke is 0.929 (95% CI 0.900 to 0.958). The haemorrhagic stroke risk estimation has a sensitivity and a specificity of 93.0% and 97.1%, respectively. The area under the ROC curve is 0.951 (95% CI 0.918 to 0.983). Conclusion: A fast and fully automatic method can be used for stroke subtype risk assessment and classification based on fundus photographs alone.

Acupuncture Treatment Modulate Regional Homogeneity of Dorsal Lateral Prefrontal Cortex in Patients with Amnesic Mild Cognitive Impairment.

BACKGROUND: Although acupuncture is widely used to improve cognitive and memory in the amnesic mild cognitive impairment (aMCI) patients with impressive effectiveness, its neural mechanism remains largely unclear. OBJECTIVE: We aimed to explore functional magnetic resonance imaging (fMRI) mechanism of acupuncture for aMCI. METHODS: A randomized, controlled, single-blind research was performed. A total of 46 aMCI patients were randomly assigned into verum and sham acupuncture group, who received a total of 24 times treatments (3 times/week, 8 weeks). Clinical evaluation and fMRI scanning were performed at baseline and after treatment for all aMCI patients. The interaction effects and inter-group effects of regional homogeneity (ReHo) were performed using mixed effect models, and the correlations between clinical improvement and neuroimaging changes before and after verum acupuncture treatment were analyzed using Pearson correlations. RESULTS: As a result, interaction effects showed increased ReHo value in left dorsal lateral prefrontal cortex (DLPFC), increased functional connectivity between left DLPFC and left precuneus, and decreased functional connectivity between left DLPFC and left inferior temporal gyrus after verum acupuncture but inversely after sham acupuncture in the aMCI. Condition effects showed increased ReHo in right lingual gyrus, and bilateral post-central gyrus after verum and sham acupuncture in the aMCI. In addition, the changed Montreal Cognitive Assessment scores in verum acupuncture group were significantly correlated with changed ReHo values in left DLPFC. CONCLUSION: Together, our findings further confirmed that acupuncture could be used as a promising complementary therapy for aMCI by modulating function of left DLPFC to improve cognitive symptoms.

A novel EEG-based major depressive disorder detection framework with two-stage feature selection.

BACKGROUND: Major depressive disorder (MDD) is a common mental illness, characterized by persistent depression, sadness, despair, etc., troubling people's daily life and work seriously. METHODS: In this work, we present a novel automatic MDD detection framework based on EEG signals. First of all, we derive highly MDD-correlated features, calculating the ratio of extracted features from EEG signals at frequency bands between [Formula: see text] and [Formula: see text]. Then, a two-stage feature selection method named PAR is presented with the sequential combination of Pearson correlation coefficient (PCC) and recursive feature elimination (RFE), where the advantages lie in minimizing the feature searching space. Finally, we employ widely used machine learning methods of support vector machine (SVM), logistic regression (LR), and linear regression (LNR) for MDD detection with the merit of feature interpretability. RESULTS: Experiment results show that our proposed MDD detection framework achieves competitive results. The accuracy and [Formula: see text] score are up to 0.9895 and 0.9846, respectively. Meanwhile, the regression determination coefficient [Formula: see text] for MDD severity assessment is up to 0.9479. Compared with existing MDD detection methods with the best accuracy of 0.9840 and [Formula: see text] score of 0.97, our proposed framework achieves the state-of-the-art MDD detection performance. CONCLUSIONS: Development of this MDD detection framework can be potentially deployed into a medical system to aid physicians to screen out MDD patients.

Predicting Prognostic Effects of Acupuncture for Depression Using the Electroencephalogram.

Depression is considered to be a major public health problem with significant implications for individuals and society. Patients with depression can be with complementary therapies such as acupuncture. Predicting the prognostic effects of acupuncture has a big significance in helping physicians make early interventions for patients with depression and avoid malignant events. In this work, a novel framework of predicting prognostic effects of acupuncture for depression based on electroencephalogram (EEG) recordings is presented. Specifically, EEG, as a widely used measurement to evaluate the therapeutic effects of acupuncture, is utilized for predicting prognostic effects of acupuncture. Max-relevance and min-redundancy (mRMR), with merits of removing redundant information among selected features and remaining high relevance between selected features and response variable, is employed to select important lead-rhythm features extracted from EEG recordings. Then, according to the subject Hamilton Depression Rating Scale (HAMD) scores before and after acupuncture for eight weeks, the reduction rate of HAMD score is calculated as a measure of the prognostic effects of acupuncture. Finally, five widely used machine learning methods are utilized for building the predicting models of prognostic effects of acupuncture for depression. Experimental results show that nonlinear machine learning methods have better performance than linear ones on predicting prognostic effects of acupuncture using EEG recordings. Especially, the support vector machine with Gaussian kernel (SVM-RBF) can achieve the best and most stable performance using the mRMR with both evaluating criteria of FCD and FCQ for feature selection. Both mRMR-FCD and mRMR-FCQ obtain the same best performance, where the accuracy and F 1 score are 84.61% and 86.67%, respectively. Moreover, lead-rhythm features selected by mRMR-FCD and mRMR-FCQ are analyzed. The top seven selected lead-rhythm features have much higher mRMR evaluating scores, which guarantee the good predicting performance for machine learning methods to some degree. The presented framework in this work is effective in predicting the prognostic effects of acupuncture for depression. It can be integrated into an intelligent medical system and provide information on the prognostic effects of acupuncture for physicians. Informed prognostic effects of acupuncture for depression in advance and taking interventions can greatly reduce the risk of malignant events for patients with mental disorders.

EEG-based Major Depressive Disorder Detection Using Data Mining Techniques.

Major depressive disorder (MDD) is a common mental illness characterized by a persistent feeling of low mood, sadness, fatigue, despair, etc.. In a serious case, patients with MDD may have suicidal thoughts or even suicidal behaviors. In clinical practice, a widely used method of MDD detection is based on a professional rating scale. However, the scale-based diagnostic method is highly subjective, and requires a professional assessment from a trained staff. In this work, 92 participants were recruited to collect EEG signals in the Shenzhen Traditional Chinese Medicine Hospital, assessing MDD severity with the HAMD-17 rating scale by a trained physician. Two data mining methods of logistic regression (LR) and support vector machine (SVM) with derived EEG-based beta-alpha-ratio features, namely LR-DF and SVM-DF, are employed to screen out patients with MDD. Experimental results show that the presented the LR-DF and SVM-DF achieved F 1 scores of 0:76 0:30 and 0:92 0:18, respectively, which have obvious superiority to the LR and SVM without derived EEG-based beta-alpha-ratio features.

Characteristics of the vaginal microbiome in women with premature ovarian insufficiency.

PURPOSE: To investigate the relationship between vaginal microbial community structure and premature ovarian insufficiency (POI). METHODS: Twenty-eight women with POI and 12 healthy women were recruited at Shenzhen Maternity and Child Healthcare Hospital between August and September 2020. Blood samples were collected for glucose tests and detection of sex hormone levels and vaginal secretions were collected for microbial group determination. Vaginal microbial community profiles were analysed by 16S rRNA gene sequencing using the Illumina MiSeq system (Illumina Inc., San Diego, CA, USA). RESULTS: Compared to the controls, the serum levels of follicle-stimulating hormone, luteinizing hormone, testosterone, and the follicle-stimulating hormone/luteinizing hormone ratio, significantly increased, and oestradiol and anti-Müllerian hormone levels significantly decreased in women with POI. Higher weighted UniFrac values were observed in women with POI than in healthy women. Bacteria in the genera Lactobacillus, Brevundimonas, and Odoribacter were more abundant in the microbiomes of healthy women, while the quantity of bacteria in the genus Streptococcus was significantly increased in the microbiomes of women with POI. Moreover, these differences in microbes in women with POI were closely related to follicle-stimulating hormone, luteinizing hormone, oestradiol, and anti-Müllerian hormone levels and to the follicle-stimulating hormone/luteinizing hormone ratio. CONCLUSIONS: Women with POI had altered vaginal microbial profiles compared to healthy controls. The alterations in their microbiomes were associated with serum hormone levels. These results will improve our understanding of the vaginal microbial community structure in women with POI. TRIAL REGISTRATION: CHICTR, ChiCTR2000029576 . Registered 3 August 2020 - Retrospectively registered, https://www.chictr.org.cn/showproj.aspx?proj=48844 .

[Mild and moderate postpartum depression treated with acupuncture of Tiaoren Tongdu: a real world study].

OBJECTIVE: To observe the clinical therapeutic effect on mild and moderate postpartum depression treated with acupuncture of Tiaoren Tongdu (regulating the conception vessel and unblocking the governor vessel) on the base of real world. METHODS: A total of 116 patients with mild and moderate postpartum depression were divided into an acupuncture group (103 cases) and a non-acupuncture group (13 cases) according to treatment regimen provided. In the acupuncture group, acupuncture of Tiaoren Tongdu was applied to Baihui (GV 20), Yintang (GV 29), Zhongwan (CV 12), Qihai (CV 6), Guanyuan (CV 4), Neiguan (PC 6), Shenmen (HT 7), Hegu (LI 4), Zusanli (ST 36), Sanyinjiao (SP 6) and Taichong (LR 3). Needles were retained for 30 min each time, the treatment was given once every other day, 3 times a week. In the non-acupuncture group, psychotherapy was provided, once daily. The duration of treatment in the two groups was 8 weeks. According to the treatment times of acupuncture, the acupuncture group was subdivided into an acupuncture A group (60 cases with total treatments ≥ 6 times) and an acupuncture B group (43 cases with total treatments<6 times). Using propensity score matching method, the patients of the acupuncture A and B groups were matched each other. Finally, 31 pairs of cases were matched successfully. Before treatment, at 1st, 2nd, 4th and 8th weeks of treatment, as well as at 3-month follow-up, the scores of Hamilton depression scale (HAMD) were compared in patients among the three groups. Using Logistic regression, the impact of acupuncture frequencies on the therapeutic effect was analyzed and the clinical therapeutic effect was assessed. RESULTS: The total effective rate of the acupuncture A group was 100.0% (31/31), better than 76.9% (10/13) in the non-acupuncture group and 58.1% in the acupuncture B group (18/31) (P<0.05). HAMD score at each time point after treatment was lower than that before treatment in the patients of each group (P<0.05). But HAMD score at each time point after treatment in either the acupuncture A group or the acupuncture B group was lower than that in the non-acupuncture group separately (P<0.05), HAMD scores in the acupuncture A group at the 4th and 8th weeks of treatment and at follow-up were lower than those in the acupuncture B group (P<0.05). Logistic regression analysis showed that the total times of acupuncture treatment and the persistent days of treatment had a certain relation to therapeutic effect (P<0.05). CONCLUSION: Acupuncture of Tiaoren Tongdu effectively improves in mild and moderate postpartum depression and its therapeutic effect is closely related to treatment course.

Estimation of stroke severity with National Institutes of Health Stroke Scale grading and retinal features: A cross-sectional study.

ABSTRACT: To estimate National Institutes of Health Stroke Scale (NIHSS) grading of stroke patients with retinal characteristics.A cross-sectional study was conducted in Shenzhen Traditional Chinese Medicine Hospital. Baseline information and retinal photos were collected within 2 weeks of admission. An NIHSS score was measured for each patient by trained doctors. Patients were classified into 0 to 4 score group and 5 to 42 score group for analysis. Three multivariate logistic models, with traditional clinical characteristics alone, with retinal characteristics alone, and with both, were built.For clinical characteristics, hypertension duration is statistically significantly associated with higher NIHSS score (P = .014). Elevated total homocysteine levels had an OR of 0.456 (P = .029). For retinal characteristics, the fractal dimension of the arteriolar network had an OR of 0.245 (P < .001) for the left eyes, and an OR of 0.417 (P = .009) for right eyes. The bifurcation coefficient of the arteriole of the left eyes had an OR of 2.931 (95% CI 1.573-5.46, P = .001), the nipping of the right eyes had an OR of 0.092 (P = .003) showed statistical significance in the model.The area under receiver-operating characteristic curve increased from 0.673, based on the model with clinical characteristics alone, to 0.896 for the model with retinal characteristics alone and increased to 0.931 for the model with both clinical and retinal characteristics combined.Retinal characteristics provided more information than clinical characteristics in estimating NIHSS grading and can provide us with an objective method for stroke severity estimation.