Association between levels of IgG antibodies from vaccines and Omicron symptomatic infection among children and adolescents in China.

Background: Measurements of IgG antibodies to wild-type SARS-CoV-2 antigens can assess vaccine efficacy, but the absolute risk of Omicron symptomatic infection at different IgG levels for children and adolescents remains uncertain, as well as the minimum effective antibody level. We sought to determine the relationship between the tertiles of IgG antibodies to wild-type SARS-CoV-2 antigens and children with symptomatic infection of the pandemic and duration to negative conversion in China for the first time. Methods: A retrospective study was conducted, including 168 participants under 18 years old from the No.2 People's Hospital of Lanzhou, China, diagnosed with Omicron variant BA.2.38 between July 8, 2022, and August 2, 2022. We calculated odds ratios (OR) in univariate and multivariate regression to assess the association of symptomatic infection with the tertiles of IgG, respectively. Kaplan-Meier curves and Cox proportional hazards regression were used to evaluate the relationship between IgG level and negative conversion time. Results: The average age of the 168 children included in this study was 7.2 (4.7) years old, 133 (79.2%) were symptomatic patients, and the average negative conversion time was 12.2 (3.5) days. The participants with high IgG levels were less likely to become symptomatic, had a shorter turnaround time, and had higher values of IgM and nucleic acid CT. Compared to those with the lowest tertile of IgG, patients with the highest tertile had a 91% lower risk of developing a symptomatic infection after fully adjusting for confounders (OR = 0.09, 95% CI, 0.02-0.36, p = 0.001). There's no robust relationship between IgG level and negative conversion time in multivariate Cox regression. Conclusion: The risk of developing a symptomatic infection can be predicted independently by tertiles of IgG antibodies to wild-type SARS-CoV-2 antigens. High IgG levels can inhibit viral replication, vastly reduce the risk of symptomatic infections and promote a virus-negative conversion, especially when IgG quantitative detection was ≥3.44 S/CO, a potential threshold for protection and booster strategy in the future. More data and research are needed in the future to validate the predictive models.

Multi-assessment of critical steno-occlusive middle cerebral arteries: transcranial Doppler combined with magnetic resonance angiography.

Background: Accurate assessment of a stenotic or occluded middle cerebral artery (MCA) is essential before making optimal therapeutic decisions. However, complete occlusion is not always easy to determine for both magnetic resonance angiography (MRA) and neurologists. We aimed to study noninvasive technology using transcranial Doppler (TCD) combined with MRA to assess severe stenosis and occlusion of the MCA. Methods: We studied consecutive patients with severe steno-occlusive MCA by digital subtraction angiography from Oct. 2011 to Mar. 2020 in our stroke center. Hemodynamic measurements of TCD, including peak velocity (PSV), mean flow velocity (MFV) and pulse index (PI), were recorded specifically at the steno-occlusive site by MRA. Results: A total of 152 MCAs of 148 patients were enrolled (60.0 ± 11.5 y, 107 male), including 82 severe stenotic MCAs and 70 occluded MCAs (Group S & Group O) by DSA. There were 86/152 (57%) MCAs showing discontinuity in MRA, which was significantly distributed more in Group O than in Group S (84% vs. 33%, P < 0.001). The PSV and MFV in Group S were greater (264 ± 78 cm/s vs. 33 ± 34 cm/s and 182 ± 61 cm/s vs. 21 ± 23 cm/s, respectively, P < 0.001), while the PI in Group O was greater (0.98 ± 0.49 vs. 0.72 ± 0.17, P < 0.001). PSV was positively correlated with severe MCA stenosis (ß = 0.036, P < 0.001, OR = 0.965, 95% confidence interval (CI): 0.952-0.978). In severe steno-occlusive MCA, using PSV and MFV to detect MCA severe stenosis yielded areas under the curve of 0.983 (CI: 0.964-1.0) and 0.982 (CI: 0.962-1.0), respectively. The cutoff points of PSV ≥ 77 cm/s and MFV ≥ 51 cm/s both yielded an optimized sensitivity of 96.3% and specificity of 98.6%. Conclusion: The critical velocity at the steno-occlusive site is reliable for distinguishing between severe MCA stenosis and occlusion.

Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study.

BACKGROUND: Knowledge discovery from treatment data records from Chinese physicians is a dramatic challenge in the application of artificial intelligence (AI) models to the research of traditional Chinese medicine (TCM). OBJECTIVE: This paper aims to construct a TCM knowledge graph (KG) from Chinese physicians and apply it to the decision-making related to diagnosis and treatment in TCM. METHODS: A new framework leveraging a representation learning method for TCM KG construction and application was designed. A transformer-based Contextualized Knowledge Graph Embedding (CoKE) model was applied to KG representation learning and knowledge distillation. Automatic identification and expansion of multihop relations were integrated with the CoKE model as a pipeline. Based on the framework, a TCM KG containing 59,882 entities (eg, diseases, symptoms, examinations, drugs), 17 relations, and 604,700 triples was constructed. The framework was validated through a link predication task. RESULTS: Experiments showed that the framework outperforms a set of baseline models in the link prediction task using the standard metrics mean reciprocal rank (MRR) and Hits@N. The knowledge graph embedding (KGE) multitagged TCM discriminative diagnosis metrics also indicated the improvement of our framework compared with the baseline models. CONCLUSIONS: Experiments showed that the clinical KG representation learning and application framework is effective for knowledge discovery and decision-making assistance in diagnosis and treatment. Our framework shows superiority of application prospects in tasks such as KG-fused multimodal information diagnosis, KGE-based text classification, and knowledge inference-based medical question answering.

Disease risk analysis for schizophrenia patients by an automatic AHP framework.

BACKGROUND: Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to support chronic disease management and clinical research for schizophrenia patients. METHODS: Based on a mental health information and intelligent data processing platform, we design an automatic AHP framework called AutoAHP to analyze and predict the disease risks of schizophrenia patients. Through automatic extraction, transformation and integration of follow-up data in the real world such as demography, treatment, and the disease course, a chronic database of patient status is established. In combination with age-period-cohort, logistic regression and Cox models, we apply the AutoAHP to assess disease risk and implement risk prediction in practice. RESULTS: A list of essential factors for risk prediction are identified, including annual changes in mental health policy, public support, regional difference, patient gender, compliance, and social function. After the verification of 1,222,038 complete disease course and treatment records of 256,050 patients, the AutoAHP framework achieves a precision of 0.923, a recall of 0.924, and a F1 of 0.923. The model is demonstrated to be superior to general models and has better performance in risk prediction. CONCLUSIONS: Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.

The consistency of invasive and non-invasive arterial blood pressure for the assessment of dynamic cerebral autoregulation in NICU patients.

Background: Studies of the clinical application of dynamic cerebral autoregulation show considerable variations, and differences in blood pressure devices may be one of the reasons for this variation. Few studies have examined the consistency of invasive and non-invasive arterial blood pressure for evaluating cerebral autoregulation. We attempted to investigate the agreement between invasive and non-invasive blood pressure methods in the assessment of dynamic cerebral autoregulation with transfer function analysis. Methods: Continuous cerebral blood flow velocity and continuous invasive and non-invasive arterial blood pressure were simultaneously recorded for 15 min. Transfer function analysis was applied to derive the phase shift, gain and coherence function at all frequency bands from the first 5, 10, and 15 min of the 15-min recordings. The consistency was assessed with Bland-Altman analysis and intraclass correlation coefficient. Results: The consistency of invasive and noninvasive blood pressure methods for the assessment of dynamic cerebral autoregulation was poor at 5 min, slightly improved at 10 min, and good at 15 min. The values of the phase shift at the low-frequency band measured by the non-invasive device were higher than those measured with invasive equipment. The coherence function values measured by the invasive technique were higher than the values derived from the non-invasive method. Conclusion: Both invasive and non-invasive arterial blood pressure methods have good agreement in evaluating dynamic cerebral autoregulation when the recording duration reaches 15 min. The phase shift values measured with non-invasive techniques are higher than those measured with invasive devices. We recommend selecting the most appropriate blood pressure device to measure cerebral autoregulation based on the disease, purpose, and design.

The Effect of Data Length on the Assessment of Dynamic Cerebral Autoregulation with Transfer Function Analysis in Neurological ICU Patients.

BACKGROUND: Cerebral autoregulation plays an important role in safeguarding adequate cerebral perfusion and reducing the risk of secondary brain injury, which is highly important for patients in the neurological intensive care unit (neuro-ICU). Although the consensus white paper suggests that a minimum of 5 min of data are needed for assessing dynamic cerebral autoregulation with transfer function analysis (TFA), it remains unknown if the length of these data is valid for patients in the neuro-ICU, of whom are notably different than the general populations. We aimed to investigate the effect of data length using transcranial Doppler ultrasound combined with invasive blood pressure measurement for the assessment of dynamic cerebral autoregulation in patients in the neuro-ICU. METHODS: Twenty patients with various clinical conditions (severe acute encephalitis, ischemic stroke, subarachnoid hemorrhage, brain injury, cerebrovascular intervention operation, cerebral hemorrhage, intracranial space-occupying lesion, and toxic encephalopathy) were recruited for this study. Continuous invasive blood pressure, with a pressure catheter placed at the radial artery, and bilateral continuous cerebral blood flow velocity with transcranial Doppler ultrasound were simultaneously recorded for a length of 10 min for each patient. TFA was applied to derive phase shift, gain, and coherence function at all frequency bands from the first 2, 3, 4, 5, 6, 7, 8, 9, and 10 min of the 10-min recordings in each patient on both hemispheres. The variability in the autoregulatory parameters in each hemisphere was investigated by repeated measures analysis of variance. RESULTS: Forty-one recordings (82 hemispheres) were included in the study. According to the critical values of coherence provided by the Cerebral Autoregulation Research Network white paper, acceptable rates for the data were 100% with a length ≥ 7 min. The final analysis included 68 hemispheres. The effects of data length on trends in phase shift in the very low frequency (VLF) band (F1.801,120.669 = 6.321, P = 0.003), in the LF band (F1.274,85.343 = 4.290, P = 0.032), and in the HF band (F1.391,93.189 = 3.868, P = 0.039) were significant for 3-7 min, for 4-7 min, and for 5-8 min, respectively. Effects were also significant on the gain in the VLF band (F1.927,129.134 = 3.215, P = 0.045) for 2-8 min and on the coherence function in all frequency bands (VLF F2.846,190.671 = 90.247, P < 0.001, LF F2.515,168.492 = 55.770, P < 0.001, HF F2.411, 161.542 = 33.833, P < 0.001) for 2-10 min. CONCLUSIONS: Considering the acceptable rates for the data and the variation in the TFA variables (phase shift and gain), we recommend recording data for a minimum length of 7 min for TFA in patients in the neuro-ICU.

Effectiveness of Chinese herbal medicine combined with Western medicine on deferring dialysis initiation for nondialysis chronic kidney disease stage 5 patients: a multicenter prospective nonrandomized controlled study.

BACKGROUND: In clinical practice, Chinese herbal medicine (CHM) purportedly has beneficial therapeutic effects for chronic kidney disease (CKD), which include delaying disease progression and dialysis initiation. However, there is a lack of high-quality evidence-based results to support this. Therefore, this study aimed to evaluate the efficacy of CHM combined with Western medicine in the treatment of stage 5 CKD. METHODS: This was a prospective nonrandomized controlled study. Stage 5 CKD (nondialysis) patients were recruited form 29 AAA class hospitals across China from July 2014 to April 2019. According to doctors' advice and the patients' wishes, patients were assigned to the CHM group (Western medicine + CHM) and the non-CHM group (Western medicine). Patient demographic data, primary disease, blood pressure, Chinese and Western medical drugs, clinical test results, and time of dialysis initiation were collected during follow-up. RESULTS: A total of 908 patients were recruited in this study, and 814 patients were finally included for further analysis, including 747 patients in the CHM group and 67 patients in the non-CHM group. 482 patients in the CHM group and 52 patients in the non-CHM group initiated dialysis. The median time of initiating dialysis was 9 (7.90, 10.10) and 3 (0.98,5.02) months in the CHM group and non-CHM group, respectively. The multivariate Cox regression analysis showed that patients in the CHM group had a significantly lower risk of dialysis [adjusted hazard ratio (aHR): 0.38; 95% confidence interval (CI): 0.28, 0.53] compared to those in the non-CHM group. After 1:2 matching, the outcomes of 160 patients were analyzed. The multivariate Cox regression analysis showed that patients in the CHM group had a significantly lower risk of dialysis (aHR: 0.32; 95% CI: 0.21, 0.48) compared to patients in the non-CHM group. Also, the Kaplan-Meier analysis demonstrated that the cumulative incidence of dialysis in the CHM group was significantly lower than that in the non-CHM group (log-rank test, P<0.001) before and after matching. CONCLUSIONS: This study suggest that the combination of CHM and Western medicine could effectively reduce the incidence of dialysis and delay the time of dialysis initiation in stage 5 CKD patients.

Optimized acupuncture treatment (acupuncture and intradermal needling) for cervical spondylosis-related neck pain: a multicenter randomized controlled trial.

ABSTRACT: Cervical spondylosis (CS)-related neck pain is difficult to treat because of its degenerative nature. The aim of this 9-center, single-blinded, randomized controlled trial was to evaluate the efficacy of optimized acupuncture for CS-related neck pain. Participants who met the inclusion criteria were randomized to optimized, shallow, and sham acupuncture groups (1:1:1). The primary outcome was the change from baseline in the Northwick Park Neck Pain Questionnaire score at week 4. Participants were followed up until week 16. Of the 896 randomized participants, 857 received ≥1 intervention session; 280, 286, and 291 received optimized, shallow, and sham acupuncture, respectively. A total of 835 (93.2%) participants completed the study. At week 4, significant differences (P < 0.001) were observed in the changes in Northwick Park Neck Pain Questionnaire scores between the optimized acupuncture group and both the shallow {7.72 (95% confidence interval [CI], 5.57-9.86)} and sham acupuncture (10.38 [95% CI, 8.25-12.52]) groups. The difference in the scores at week 16 between the optimized acupuncture group and the shallow (8.84 [95% CI, 6.34-11.34]) and sham acupuncture (10.81 [95% CI, 8.32-13.30]) groups were significant. The center effect indicated wide variability in the treatment effects (Cohen's d = 0.01-2.19). Most SF-36 scores were higher in the optimized acupuncture group than those in the other groups. These results suggest that 4-week optimized acupuncture treatment alleviates CS-related neck pain and improves the quality of life, with the effects persisting for minimum 3 months. Therefore, acupuncture can have positive effects on CS-related neck pain, although the effect size may vary widely.

Chinese Herbal Formula Huayu-Qiangshen-Tongbi Decoction Compared With Leflunomide in Combination With Methotrexate in Patients With Active Rheumatoid Arthritis: An Open-Label, Randomized, Controlled, Pilot Study.

Background: Traditional Chinese Medicine is complementary and an alternative to modern medicine. The combination therapies of herbal products with disease-modifying anti-rheumatic drugs are gradually and widely adopted in the management of rheumatoid arthritis (RA) in China. Purpose: To evaluate the efficacy and safety of Huayu-Qiangshen-Tongbi (HQT) decoction, a Chinese medicine formula, combined with methotrexate (MTX) in the treatment of patients with active RA, in comparison with the combination therapy of MTX with leflunomide (LEF). Methods: This pilot study was a monocenter, open-label, randomized controlled trial with two parallel arms. Ninety patients with active RA were randomly allocated to receive either HQT at a dose of 250 ml twice daily or LEF at a dose of 20 mg once daily, and all participants received MTX at a dose of 10-15 mg once weekly. The primary efficacy endpoint was the proportion of patients who achieved a 20% improvement in the American College of Rheumatology criteria (ACR20) after a 24-week treatment. Results: 84.4% (76/90) patients completed the 24-week observation. In the intention-to-treat analysis, the percentage values of patients achieving the ACR20 response criteria were 72.1% (31/43) in MTX + HQT group and 74.4% (32/43) in MTX + LEF group (p = 0.808). No significant difference was observed in other parameters, including ACR50, ACR70, clinical disease activity index good responses, European League Against Rheumatism good response, remission rate, and low disease activity rate. The results of the per-protocol analysis showed consistency with those of the intention-to-treat analysis. The mean change from baseline at week 24 for the van der Heijde modified total sharp score had no significant difference between two groups (3.59 ± 4.75 and 1.34 ± 8.67 in the MTX + HQT group and MTX + LEF group, respectively, p = 0.613). The frequency of adverse events was similar in both groups (11 cases in the MTX + HQT and 17 cases in the MTX + LEF, p > 0.05). Conclusions: In patients with active RA, treatment with the combination of HQT and MTX was associated with improvement in signs, symptoms, and physical function. With a beneficial clinical response and acceptable tolerability, HQT or other Chinese medicine formula may be a good therapeutic option in combination with MTX for RA treatment. Trial registration: Chinese Clinical Trails Registry, ChiCTR-INR-16009031, Registered on 15th August 2016, http://www.chictr.org.cn/enindex.aspx.

Risk Interval of Complete Blood Counts May be Closely Associated with Bone Mineral Density in the Elderly Chinese Population.

BACKGROUND: Accumulating research suggests that hematopoiesis and bone metabolism are interconnected. Several studies have investigated the partial indexes of peripheral blood counts related to bone mineral density (BMD). The aim of this study was to investigate the associations between all of the parameters, especially the risk interval of complete blood counts (CBC) and BMD in a sample of elderly subjects aged >70 years. METHODS: Three hundred and eighty-six subjects aged > 70 years in our hospital were enrolled in a cross-sectional study and underwent BMD measurement along with a CBC test. Patients were divided into two groups: "at least osteopenia" (T-score < -1) and a normal group (T-score ≥ -1). The clinicopathological characteristics, CBC parameters, and BMD were analyzed between the two groups. We performed a supervised discretization (using a conditional inference tree algorithm) to find the risk interval for the continuous variables, especially for CBC parameters, and bootstrap multivariable logistic regression to estimate the odds of CBC parameters associated with BMD. RESULTS: A total of 248 subjects were included in the study and divided into the normal (n = 43) and "at least osteopenia" groups (n = 205). Subjects in the "at least osteopenia" group had varying degrees of decreases in white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (Hb), mean corpuscular hemoglobin concentration (MCHC), hematocrit (HCT), platelet volume distribution width (PDW) mean platelet volume (MPV), eosinophils, and lymphocytes, and had increases in platelets (PLTs). MCHC, WBC, RBC, PDW, MPV, Hb, and lymphocytes were successfully divided into two (low and high) intervals. Bootstrap logistic regression showed that low levels of body mass index (BMI) [(11.88, 23.53); OR: 4.07; p < 0.0001], lymphocytes [(0.54, 2.3); OR: 3.95; p < 0.0001] and PDW [(8.5, 12.7); OR: 2.44; p < 0.0001] along with being female and older age [(72, 97); OR: 2.16; p < 0.0001] were significantly associated with BMD as risk factors. CONCLUSIONS: The elderly with BMD loss tended to show an abnormal sign in the CBC test. Low levels of lymphocytes and PDW may contribute to the evaluation of osteoporosis risk in the elderly. Bone remodeling and hematopoiesis may have stronger associations and interactions than has been previously recognized.

Factors affecting health-related quality of life in patients with skin disease: cross-sectional results from 8,789 patients with 16 skin diseases.

BACKGROUND: Many previous studies have reported factors that contribute to health-related quality of life (HRQoL) for a single skin disease. However, little is known about generalized factors associated with HRQoL across skin diseases. The objective of this study was to investigate overall HRQoL, and to identify factors related to severely impaired HRQoL among patients with 16 different skin diseases. METHODS: A cross-sectional study of 9845 patients with skin disease was conducted in 9 hospitals in China. HRQoL was assessed with the Chinese version of the Skindex-29 which measures dermatology-specific health along three domains (symptoms, emotions and functioning). With the published Skindex-29 cut-off scores for severely impaired HRQoL, logistic regression models assessed the relationship between severely impaired HRQoL and demographic/clinical characteristics, with adjustments for different skin diseases. To guarantee the models' convergence, 16 skin diseases with frequencies of at least 100 were included, and the sample size was 8789. RESULTS: Emotions was the most impaired aspect of HRQoL. Co-existing chronic diseases, 3 years or longer duration, and more severity were identified as associated factors for severely impaired HRQoL for each Skindex-29 domain, and for the aggregate. Being female, under 45 years old, and consuming alcohol were associated with a severely impaired emotion domain; Lack of exercise and smoking were associated with severely impaired symptoms and function domains, respectively. CONCLUSIONS: Skin diseases can affect many facets of HRQoL, but the emotional impairment deserves more attention. In addition to skin disease severity, this study shows that other chronic diseases and long duration are correlated with severely impaired HRQoL for patients with 16 clinical common skin diseases. This suggests the need for increased awareness in treating skin disease as a chronic disease. It also suggests that disease management decisions should consider HRQoL improvement, especially emotional conditions, when making management decisions.

Physicians' attitudes towards reproduction in young patients with early breast cancer in China.

BACKGROUND: As more young patients with breast cancer undergo treatments and obtain good prognoses, the issue of postoperative reproduction in breast cancer patients has attracted more attention. METHODS: We conducted a prospective, cross-sectional survey of 2000 breast cancer-associated physicians using a 24-items questionnaire adapted from prior guides. Then we used a multivariable linear regression model to confirm independent associations between the propensity of physicians' attitudes toward reproduction and physicians' specific demographic characteristics. RESULTS: A total of 911/1249 (72.93%) eligible physicians completed the questionnaire. Regarding the most concerning topic of whether breast cancer patients could conceive, 65 (7.1%) physicians having low and 457 (50.2%) physicians having high propensity for recommending reproduction. For ductal carcinoma in situ (DCIS) after surgery and radiotherapy, 599 (65.8%) physicians did not agree with the recommendation to conceive. 231 (25.4%) highly agree with the recommendation of reproduction for 2 years after surgery in invasive breast cancer patients with lymph nodes-negative. Only 140 (15.4%) physicians did not agree with the recommendation for 5 years after surgery in invasive breast cancer patients with lymph nodes-positive. A total of 861 (94.5%) physicians stated that they advised the patients to consult experts from other disciplines, such as gynecology, oncology, genetic and psychology disciplines. In multivariable analysis, more positive attitude toward reproduction was significantly associated with male, more than 11 times of participating in academic forum on breast cancer, 1-2 times of consulting about reproduction problems after breast cancer surgery per outpatient service and more than 11 min spending on solving the problem about reproduction in early breast cancer. CONCLUSION: This study showed that attitudes towards reproduction of young breast cancer patients from physicians in China. Physicians had a high propensity for recommending reproduction. Compared with the two reproduction guidelines recommendation when to reproduce in different circumstances for breast cancer patients, physicians from China remained a relatively conservative attitude. Most physicians advised the patients to consult experts from other disciplines, such as gynecology, oncology, genetic and psychology disciplines.

The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia.

BACKGROUND: With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. METHODS: Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. RESULTS: The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients' cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. CONCLUSIONS: Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.

Outcome prediction for patients with anterior circulation acute ischemic stroke following endovascular treatment: A single-center study.

Previous studies have identified various factors associated with the outcomes of acute ischemic stroke (AIS) but considered only 1 or 2 predictive factors. The present study aimed to use outcome-related factors derived from biochemical, imaging and clinical data to establish a logistic regression model that can predict the outcome of patients with AIS following endovascular treatment (EVT). The data of 118 patients with anterior circulation AIS (ACAIS) who underwent EVT between October 2014 and August 2018 were retrospectively analyzed. The patients were divided into 2 groups based on the modified Rankin Scale score at three months after surgery, where 0-2 points were considered to indicate a favorable outcome and 3-6 points were considered a poor outcome. Non-conditional logistic stepwise regression was used to identify independent variables that were significantly associated with patient outcome, which were subsequently used to establish a predictive statistical model, receiver operating characteristic (ROC) curve was used to show the performance of statistical model and analyze the specific association between each factor and outcome. Among the 118 patients, 47 (39.83%) exhibited a good and 71 (60.17%) exhibited a poor outcome. Multivariate analysis revealed that the predictive model was statistically significant (χ2=78.92; P<0.001), and that the predictive accuracy of the model was 83.1%, which was higher compared with that obtained using only a single factor. ROC curve analysis shows the area under curve of the statistical model was 0.823, the analysis of diagnostic threshold for prognostic factors indicated that age, diffusion-weighted imaging lesion volume, glucose on admission, National Institutes of Health Stroke Scale score on admission and hypersensitive C-reactive protein were valuable predictive factors for the outcome of EVT (P<0.05). In conclusion, a predictive model based on non-conditional logistic stepwise regression analysis was able to predict the outcome of EVT for patients with ACAIS.

The add-on effect of dengzhan shengmai capsules on secondary prevention of ischemic stroke: A multicentre, randomised, placebo-controlled clinical trial.

OBJECTIVE: The Dengzhan Shengmai (DZSM) capsule is a commercially available type of Chinese herbal medicine frequently administered to improve neurological impairment after stroke. Its ability to prevent recurrent stroke, however, has not been determined. This study therefore evaluated the ability of DZSM as an add-on to conventional secondary preventive agents to prevent recurrent ischemic stroke. METHODS: In this randomised, double-blind, placebo-controlled trial, conducted at 83 hospitals in Mainland China, 3143 patients in 14-180 days after the initial onset of ischemic stroke, were randomly allocated to the DZSM (0.36 g, twice daily for 12 months) or the placebo group. All patients in both groups received standard secondary preventive medications. The primary outcome was the 1-year incidence of stroke. Between group differences were assessed using the Cox proportional hazards model. RESULTS: Intent-to-treat analysis showed that 58 (3.8%) participants in the DZSM group and 82 (5.4%) in the placebo group experienced new stroke events (hazard ratio = 0.70, 95% confidence interval = 0.50-0.98, P = 0.036). The type and incidence of adverse events were similar in the DZSM and placebo groups. CONCLUSIONS: The addition of DZSM capsules to standard secondary preventive agents provides additional benefits after the initial onset of ischemic stroke, reducing recurrent stroke without increasing severe adverse events. However, further study is needed to elucidate the role of DZSM on the updated practice of conventional secondary prevention for ischemic stroke.

Does Routine Anti-Osteoporosis Medication Lower the Risk of Fractures in Male Subjects? An Updated Systematic Review With Meta-Analysis of Clinical Trials.

Background: Several epidemiological articles have reported the correlations between anti-osteoporosis medication and the risks of fractures in male and female subjects, but the specific efficacy of anti-osteoporosis medication for male subjects remains largely unexplored. Objective: The aim of this study was to evaluate the correlation between anti-osteoporosis medication and the risk of fracture in relation to low bone mass [including outcomes of osteoporosis, fracture, and bone mineral density (BMD) loss] in male subjects analyzed in studies within the updated literature. Methods: Randomized controlled trials (RCTs) that analyzed the effectiveness of a treating prescription for male subjects with osteoporosis (or low BMD) and that focused on the outcomes of fracture were included. Relevant studies from Embase, Web of Science, PubMed, and Chinese database of CNKI were retrieved from inception to January 30th, 2019. Two staff members carried out the eligibility assessment and data extraction. The discrepancies were settled by consultation with another researcher. We calculated the pooled relative risks (RRs) based on 95% confidence intervals (CIs). Results: Twenty-seven documents (28 studies) with 5,678 subjects were identified. For the category of bisphosphonates, significant results were observed in pooled analyses for decreased risk of the vertebral fracture domain (RR, 0.44 [95% CI, 0.31-0.62]), nonvertebral fracture domain (RR, 0.63 [95% CI, 0.46-0.87]), and clinical fracture domain (RR, 0.59 [95% CI, 0.48-0.72]) compared with those of controls. Participants with bisphosphonates had a 56% (95% CI = 38-69%) lower risk of vertebral fractures, 37% (95% CI = 13-54%) lower risk of nonvertebral fractures, and 41% (95% CI = 28-52%) lower risk of clinical fractures. Furthermore, meta-analyses also demonstrated a decreased risk of the vertebral fracture domain via treatment with risedronate (RR, 0.45 [95% CI, 0.28-0.72]) and alendronate (RR, 0.41 [95% CI, 0.23-0.74]), but not with calcitriol, calcitonin, denosumab, ibandronate, monofluorophosphate, strontium ranelate, teriparatide, or zoledronic acid, compared with that of controls. Conclusions: This systematic review confirms that bisphosphonates were connected with a decreased risk of vertebral fractures, nonvertebral fractures, and clinical fractures for male subjects with osteoporosis. Future research is needed to further elucidate the role of nonbisphosphonates in treating fractures of osteoporosis subjects.

Can increasing the prevalence of vegetable-based diets lower the risk of osteoporosis in postmenopausal subjects? A systematic review with meta-analysis of the literature.

OBJECTIVES: Several epidemiological investigations have assessed the association between vegetable-based diet intake (VDI) and risk of osteoporosis in postmenopausal subjects (OPS), but the outcomes have been inconsistent. We performed a review of the updated literature to evaluate this correlation. METHODS: We searched for relevant studies published in September 2018 or earlier. Two researchers conducted eligibility assessment and data extraction. Discrepancies were resolved through consultation with a third expert. Pooled odds ratios (ORs) were calculated with 95% confidence intervals (CIs). RESULTS: Ten studies, which included 14,247 subjects, were identified. On comparing the highest category of VDI consumption with the lowest category of VDI consumption, the pooled OR for OPS was 0.73 (95% CI = 0.57-0.95), i.e., participants with a higher intake of vegetables had a 27% (95% CI = 5-43%) lower risk of OPS. Significant benefits were found on subgroup analyses of case-control studies (OR, 0.61 [95% CI, 0.48-0.78]), but not on subgroup analyses of cross-sectional studies (OR, 0.82 [95% CI, 0.57-1.16]). The synthesized effect estimates were in the direction of decreased risk of OPS on subgroup analyses of the femoral region (OR, 0.57, 95% CI = 0.41-0.80) and the lumbar spine (OR = 0.55, 95% CI = 0.38-0.81), but not on subgroup analyses of the calcaneus (OR = 0.85, 95% CI = 0.33-2.16) and the lumbar and/or femoral region (OR = 1.04, 95%CI = 0.79-1.38). Positive results were observed on pooled analyses of the Dual energy X-ray absorptiometry (DEXA) measurement method (OR, 0.72 [95% CI, 0.54-0.95]), but not on pooled analyses of the Standardized Quantitative Ultrasound (QUS) measurement method (OR, 0.85 [95% CI, 0.33-2.16]). This might have resulted from a type II error due to wide confidence intervals and less number of included studies. CONCLUSION: This meta-analysis seemingly confirms that higher consumption of VDI was associated with a lower risk of OPS. Taken together, these results highlight the need for future high-quality design-based trials on quantified vegetable intake and OPS.

Chinese herbal medicine for the treatment of cough variant asthma: a study protocol for a double-blind randomized controlled trial.

BACKGROUND: Cough variant asthma (CVA) is one of the leading causes of chronic coughing. The main treatment is currently anti-inflammatory medication. However, the coughing may return or be aggravated and lung function may deteriorate once the anti-inflammatory treatment is stopped. The effect of Chinese herbal medicine (CHM) on chronic coughing is remarkable, but high-quality evidence supporting its effectiveness is still lacking. This trial aims to evaluate the safety and efficacy, especially the long-term efficacy, of CHM plus anti-inflammatory medications for the treatment of CVA. METHODS/DESIGN: A randomized placebo-controlled double-blind trial will be conducted. It will consist of a 3-month intervention followed by a 6-month follow-up period. The target sample size is 60 patients with CVA who are between 18 and 70 years old. The eligible subjects will be allocated randomly into the experimental or control group in a ratio of 1:1. Patients in the experimental group will take CHM granules (4.9 g twice daily), while patients in the control group will be given a matched placebo. An administration of salmeterol/fluticasone propionate combination for 12 weeks will be the basic therapy for the two groups. The primary outcome is the cough visual analog scales (CVAS). The secondary outcomes include quality of life, rate of symptom relapse, lung function, and blood tests. A safety assessment will also be performed during the trial. DISCUSSION: The evidence gathered by the trial will be a valuable addition to informing treatment options for patients with CVA. TRIAL REGISTRATION: http://www.chictr.org.cn , ID: ChiCTR-IOR-16009148. Registered on 3 September 2016.

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospital information systems and disease surveillance systems, provides abundant data for CAMDM. However, the complexity of EMR data with abstract medical knowledge makes the conventional model incompetent for the analysis. Thus a deep belief networks (DBN) based model is proposed to simulate the information analysis and decision-making procedure in medical practice. The purpose of this paper is to evaluate a deep learning architecture as an effective solution for CAMDM. METHODS: A two-step model is applied in our study. At the first step, an optimized seven-layer deep belief network (DBN) is applied as an unsupervised learning algorithm to perform model training to acquire feature representation. Then a support vector machine model is adopted to DBN at the second step of the supervised learning. There are two data sets used in the experiments. One is a plain text data set indexed by medical experts. The other is a structured dataset on primary hypertension. The data are randomly divided to generate the training set for the unsupervised learning and the testing set for the supervised learning. The model performance is evaluated by the statistics of mean and variance, the average precision and coverage on the data sets. Two conventional shallow models (support vector machine / SVM and decision tree / DT) are applied as the comparisons to show the superiority of our proposed approach. RESULTS: The deep learning (DBN + SVM) model outperforms simple SVM and DT on two data sets in terms of all the evaluation measures, which confirms our motivation that the deep model is good at capturing the key features with less dependence when the index is built up by manpower. CONCLUSIONS: Our study shows the two-step deep learning model achieves high performance for medical information retrieval over the conventional shallow models. It is able to capture the features of both plain text and the highly-structured database of EMR data. The performance of the deep model is superior to the conventional shallow learning models such as SVM and DT. It is an appropriate knowledge-learning model for information retrieval of EMR system. Therefore, deep learning provides a good solution to improve the performance of CAMDM systems.

Can Dietary Intake of Vitamin C-Oriented Foods Reduce the Risk of Osteoporosis, Fracture, and BMD Loss? Systematic Review With Meta-Analyses of Recent Studies.

Background: Several epidemiological studies have been performed to evaluate the association of dietary intake of vitamin C-oriented foods (DIVCF) with risk of fracture and bone mineral density (BMD) loss, but the results remain controversial. Therefore, we conducted a systematic meta-analysis to assess this correlation. Methods: We searched EmBase, PubMed, Web of Science, and the Chinese database CNKI for relevant articles published up to August 2019. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated using the random- or fixed-effects model. Discrepancies were resolved by consultation with a third expert. Results: A total of 13 eligible articles (including 17 studies) with 19,484 subjects were identified for the present meta-analysis. The pooled RR of hip fracture for the highest vs. lowest category was 0.66 (95% CI, 0.47-0.94) for DIVCF, i.e., people with a greater frequency of Vitamin C uptake had a 34% (95% CI, 6%-53%) lower prevalence of hip fracture. In subgroup analyses stratified by study design, gender, and age, the negative associations were statistically significant. Furthermore, the statistical analysis of the association between DIVCF and risk of osteoporosis (RR, 0.66; 95% CI, 0.48-0.92), BMD at the lumbar spine (pooled r, 0.15; 95% CI, 0.09-0.23), and BMD at the femoral neck (pooled r, 0.20; 95% CI, 0.11-0.34) showed beneficial effects of DIVCF. Conclusion: Our meta-analysis indicates that DIVCF is negatively associated with the risk of hip fracture, osteoporosis, and BMD loss, suggesting that DIVCF decreases the risk of hip fracture, osteoporosis, and BMD loss.