BACKGROUND: Depression in Parkinson's disease (dPD) is closely related to quality of life. Current studies have suggested that Pingchan Granule (PCG) might be effective for treating dPD. OBJECTIVE: This study determines the efficacy of PCG for depressive symptoms in Parkinson's disease (PD). DESIGN, SETTING, PARTICIPANTS AND INTERVENTIONS: This was a randomized, double-blind, placebo-controlled trial, conducted in Longhua Hospital, Shanghai, China. Patients diagnosed with idiopathic PD and clinically significant depressive symptoms (defined by a 24-item Hamilton Rating Scale for Depression [HAM-D] score ≥ 8) were included in this study, randomly assigned to PCG or placebo group in a 1:1 ratio and followed for 24 weeks. MAIN OUTCOME MEASURES: The primary outcome was the change from baseline to week 24 in HAM-D score among the set of patients who completed the study following the treatment protocol (per-protocol set). Secondary outcomes included changes in scores on the Unified Parkinson's Disease Rating Scale (UPDRS) part 2 (UPDRS-II), UPDRS part 3 (UPDRS-III), Parkinson's Disease Sleep Scale (PDSS) and Hamilton Rating Scale for Anxiety (HAM-A), between baseline and week 24. RESULTS: Eighty-six patients were enrolled, and 85 patients were included in the per-protocol set. HAM-D scores decreased by an adjusted mean of 11.77 (standard error [SE] 0.25) in the PCG group and 3.86 (SE 0.25) in the placebo group (between-group difference = 7.91, 95% confidence interval [7.22, 8.80], P < 0.001), in the multivariable linear regression. Improvements in scores on the UPDRS-II, UPDRS-III, PDSS, and HAM-A scales were also observed. CONCLUSION: Treatment with PCG was well tolerated and improved depressive symptoms and motor and other non-motor symptoms in PD. TRIAL REGISTRATION Chinese Clinical Trial Register: ChiCTR-INR-17011949.

OBJECTIVE: To investigate whether Omicron BA.1 breakthrough infection after receiving the SARS-CoV-2 vaccine could create a strong immunity barrier. METHODS: Blood samples were collected at two different time points from 124 Omicron BA.1 breakthrough infected patients and 124 controls matched for age, gender, and vaccination profile. Live virus-neutralizing antibodies against five SARS-CoV-2 variants, including WT, Gamma, Beta, Delta, and Omicron BA.1, and T-lymphocyte lymphocyte counts in both groups were measured and statistically analyzed. RESULTS: The neutralizing antibody titers against five different variants of SARS-CoV-2 were significantly increased in the vaccinated population infected with the Omicron BA.1 variant at 3 months after infection, but mainly increased the antibody level against the WT strain, and the antibody against the Omicron strain was the lowest. The neutralizing antibody level decreased rapidly 6 months after infection. The T-lymphocyte cell counts of patients with mild and moderate disease recovered at 3 months and completely returned to the normal state at 6 months. CONCLUSION Omicron BA.1 breakthrough infection mainly evoked humoral immune memory in the original strain after vaccination and hardly produced neutralizing antibodies specific to Omicron BA.1. Neutralizing antibodies against the different strains declined rapidly and showed features similar to those of influenza. Thus, T-lymphocytes may play an important role in recovery.
Humans ; Antibodies, Neutralizing ; Prospective Studies ; SARS-CoV-2 ; Breakthrough Infections ; COVID-19 Vaccines ; COVID-19 ; T-Lymphocytes ; China/epidemiology* ; Antibodies, Viral

Professor
Acupuncture ; Acupuncture Therapy ; Angina, Stable ; Combined Modality Therapy ; Humans ; Moxibustion

BACKGROUND: The basis of individualized treatment should be individualized mortality risk predictive information. The present study aimed to develop an online individual mortality risk predictive tool for acute-on-chronic liver failure (ACLF) patients based on a random survival forest (RSF) algorithm. METHODS: The current study retrospectively enrolled ACLF patients from the Department of Infectious Diseases of The First People's Hospital of Foshan, Shunde Hospital of Southern Medical University, and Jiangmen Central Hospital. Two hundred seventy-six consecutive ACLF patients were included in the present study as a model cohort (n = 276). Then the current study constructed a validation cohort by drawing patients from the model dataset based on the resampling method (n = 276). The RSF algorithm was used to develop an individual prognostic model for ACLF patients. The Brier score was used to evaluate the diagnostic accuracy of prognostic models. The weighted mean rank estimation method was used to compare the differences between the areas under the time-dependent ROC curves (AUROCs) of prognostic models. RESULTS: Multivariate Cox regression identified hepatic encephalopathy (HE), age, serum sodium level, acute kidney injury (AKI), red cell distribution width (RDW), and international normalization index (INR) as independent risk factors for ACLF patients. A simplified RSF model was developed based on these previous risk factors. The AUROCs for predicting 3-, 6-, and 12-month mortality were 0.916, 0.916, and 0.905 for the RSF model and 0.872, 0.866, and 0.848 for the Cox model in the model cohort, respectively. The Brier scores were 0.119, 0.119, and 0.128 for the RSF model and 0.138, 0.146, and 0.156 for the Cox model, respectively. The nonparametric comparison suggested that the RSF model was superior to the Cox model for predicting the prognosis of ACLF patients. CONCLUSIONS The current study developed a novel online individual mortality risk predictive tool that could predict individual mortality risk predictive curves for individual patients. Additionally, the current online individual mortality risk predictive tool could further provide predicted mortality percentages and 95% confidence intervals at user-defined time points.
Acute-On-Chronic Liver Failure ; Humans ; Prognosis ; Proportional Hazards Models ; ROC Curve ; Retrospective Studies