scholarly journals A Prediction Model for High Risk of Positive RT-PCR Test Results in COVID-19 Patients Discharged From Wuhan Leishenshan Hospital, China

2021 ◽  
Vol 9 ◽  
Author(s):  
Yawei Qian ◽  
Guang Zeng ◽  
Yue Pan ◽  
Yang Liu ◽  
Limao Zhang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
High Risk ◽  
Traditional Chinese Medicine ◽  
Test Results ◽  
High Risk Factors ◽  
Discharged Patients ◽  
Hospital Stays ◽  
Reduce Risk ◽  
Chinese Medicine Treatment

Several recent studies have reported that a few patients had positive SARS-CoV-2 RNA tests after hospital discharge. The high-risk factors associated with these patients remain to be identified. A total of 463 patients with COVID-19 discharged from Leishenshan Hospital in Wuhan, China, between February 8 and March 8, 2020 were initially enrolled, and 351 patients with at least 2 weeks of follow-up were finally included. Seventeen of the 351 discharged patients had positive tests for SARS-CoV-2 RNA. Based on clinical characteristics and mathematical modeling, patients with shorter hospital stays and less oxygen desaturation were at higher risk of SARS-CoV-2 RNA reoccurrence after discharge. Notably, traditional Chinese medicine treatment offered extensive benefits to reduce risk. Particular attention should be paid to those patients with high risk, and traditional Chinese medicine should be advocated.

Analysis of Risk Factors Related to Relapse and Refractory DLBCL and Study of DLBCL Maintenance Therapy

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 32-33
Author(s):  
Jing Zhang ◽  
Baoan Chen
Keyword(s):  
Risk Factors ◽  
Chinese Medicine ◽  
High Risk ◽  
Traditional Chinese Medicine ◽  
Maintenance Therapy ◽  
B Cell Lymphoma ◽  
Kaplan Meier ◽  
Low Levels ◽  
Hs Crp

Objectives The aim of this part is to analyze the efficacy of R-CHOP regimen in the treatment of diffuse large B-cell lymphoma (DLBCL), and to explore the risk factors of relapse and refractory DLBCL by analyzing the clinical characteristics of patients, and to study the predictive efficacy of these factors on the prognosis of patients. Methods Clinical data of 71 patients with de novo DLBCL from December 2012 to December 2018 in the Department of Hematology, Zhongda Hospital Affiliated to Southeast University were collected and retrospectively analyzed. The patients with DLBCL were divided into two groups according to who were refractory or relapse after initial therapy. Then the response rate and high-risk factors of refractory and relapse lymphoma were analyzed by the chi-square test and Mann-Whitney U test. Besides, Overall survival (OS) curves and prognosis factors were estimated by the Kaplan-Meier method, Log-rank test and Cox proportional hazard regression analysis. Furthermore, the patients were divided into two groups according to the IPI score, and a comparative analysis of survival rate was performed between subgroups. Results 1.There were 71 patients who were diagnosed with DLBCL, in which 45 cases achieved complete remission (CR), 11cases achieved partial remission (PR), and the total remission rate was 78.9%. By the end of the follow-up, 25 cases (35.2%) experienced refractory and relapse, and 17 cases (23.9%) died, with an average OS of 60 months and an average EFS of 52 months. 2.Univariate analysis showed that the B symptoms (P< 0.001), low levels of Hb (P< 0.001) and LMR (P< 0.001), high levels of NLR (P= 0.042), β2-MG (P= 0.011), hs-CRP (P= 0.002) and LDH (P= 0.017) were significantly related with refractory and relapse. Multivariate Logistic analysis showed B symptoms (P= 0.033) and high levels of β2-MG (P= 0.048) were independent risk factors for refractory and relapse lymphoma. 3.Kaplan-Meier method analysis showed that the OS of patients with either B symptoms (P< 0.001), low levels of Hb (P= 0.008) and LMR (P= 0.005), or high levels of β2-MG (P= 0.007), hs-CRP (P= 0.008) and LDH (P= 0.002) were significantly shorter than that of control group. Additionally, Cox regression methods analysis showed that B symptoms (P= 0.026) and high β2-MG (P= 0.038) were independent prognosis factors for DLBCL. 4.Kaplan-Meier analysis of survival between the low-risk IPI and high-risk IPI groups showed that the OS of patients with B symptoms in both IPI low-risk group (P = 0.013) and IPI high-risk group (P = 0.027) weresignificantly shorter than those without B symptoms. Moreover, there was no significant difference in the OS of patients with either low levels of Hb and LMR,or high levels of LDH, β2-MG, and hs-CRP in both group (P > 0.05). Conclusion B symptoms and high levels of β2-MG are independent risk factors for relapse and refractory, and are expected to be incorporated into the new prognostic score system. Part two: Clinical study of maintenance therapy for DLBCL Objectives The aim of this part was to explore the efficacy of different maintenance therapies on DLBCL, and evaluate the safety of rituximab and traditional Chinese medicine maintenance therapy. Methods Clinical data of 71 patients with de novo DLBCL from December 2012 to December 2018 in the Department of Hematology, Zhongda Hospital Affiliated to Southeast University were collected and retrospectively analyzed. Follow-up and study whether patients have undergone maintenance therapy and maintenance therapy regimen. Results Of the 71 patients with DLBCL, 11 cases received maintenance therapy after CR, of which 6 cases were maintained with rituximab and 5 cases maintained with traditional Chinese medicine (TCM). The median follow-up time was 27 months. By the end of the follow-up, none of the 11 cases had relapsed and no treatment-related adverse reactions occurred. In particular, 2 patients received autologous hematopoietic stem cell transplantation after achieving CR, and then took TCM for maintenance therapy. No tumor recurrence was seen during follow-up and the clinical indicators were normal and stable. Conclusion Rituximab and TCM have good efficacy and safety in the maintenance treatment of DLBCL. TCM maintenance treatment shows unique advantages, and it is expected to be widely used in clinic after further verification in the future. Key words Diffuse large B-cell lymphoma; maintenance therapy; rituximab; traditional Chinese medicine Disclosures No relevant conflicts of interest to declare.

Prevalence of HPV 16/18 genotypes and histopathologic follow-up outcomes in women with negative cytology and positive high-risk HPV test results

2015 ◽  
Vol 4 (5) ◽  
pp. 261-266 ◽  
Author(s):  
Anna Woodard ◽  
R. Marshall Austin ◽  
Zaibo Li ◽  
Joseph Beere ◽  
Chengquan Zhao
Keyword(s):  
High Risk ◽  
Test Results ◽  
Hpv 16 ◽  
Hpv Test ◽  
High Risk Hpv

scholarly journals Composition of “gold juice” using an ancient method based on intestinal microecology

2020 ◽  
Vol 48 (9) ◽  
pp. 030006052093128
Author(s):  
Qiuwei Li ◽  
Liying Guo ◽  
Li Wang ◽  
Jing Miao ◽  
Huantian Cui ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fecal Microbiota Transplantation ◽  
Antibiotic Use ◽  
Fecal Microbiota ◽  
Healthy Children ◽  
Fecal Samples ◽  
16S Rdna Sequence Analysis ◽  
History Of ◽  
Chinese Medicine Treatment

Objective To identify potentially effective bacterial components of gold juice, a traditional Chinese medicine treatment used for fecal microbiota transplantation. Methods Fecal samples were collected from five healthy children (two boys and three girls; mean age, 7.52 ± 2.31 years). The children had no history of antibiotic use or intestinal microecological preparation in the preceding 3 months. Fresh fecal samples were collected from children to prepare gold juice in mid-to-late November, in accordance with traditional Chinese medicine methods, then used within 7 days. Finally, 16S rDNA sequence analysis was used to identify potentially effective bacterial components of gold juice. QIIME software was used for comparisons of microbial species among gold juice, diluent, filtrate, and loess samples. Results Microflora of gold juice exhibited considerable changes following “ancient method” processing. Microbial components significantly differed between gold juice and filtrate samples. The gold juice analyzed in our study consisted of microbes that synthesize carbohydrates and amino acids by degrading substances, whereas the filtrate contained probiotic flora, Bacteroides, and Prevotella 9. Conclusions This study of microbial components in gold juice and filtrate provided evidence regarding effective bacterial components in gold juice, which may aid in clinical decisions concerning fecal microbiota transplantation.

scholarly journals Treatment of Oral Ulcer Based on TCM Syndrome Differentiation

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Ying Yao ◽  
Li Liu
Keyword(s):  
Quality Of Life ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Western Medicine ◽  
Severe Case ◽  
Oral Ulcer ◽  
Syndrome Differentiation ◽  
Tcm Syndrome ◽  
Chinese Medicine Treatment

Oral ulcer is a kind of ulcerative injury that occurs in the oral mucosa and is very common in clinic. In severe case, it can affect the quality of life of the patients. Western medicine treatment of oral ulcer is often prone to relapse, while the effect of traditional Chinese medicine treatment is remarkable.

scholarly journals On the Treatment of Kidney Fibrosis from the Theory of Internal Deficiency of Qi and the Coexistence of Phlegm and Blood Stasis

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Liu Min ◽  
Leng Wei
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Theoretical Basis ◽  
Renal Fibrosis ◽  
Blood Stasis ◽  
Point Of View ◽  
Kidney Fibrosis ◽  
Cause And Effect ◽  
Pathological Characteristics ◽  
Chinese Medicine Treatment

Traditional Chinese medicine believes that the etiology and pathogenesis of renal fibrosis are characterized by deficiency of the lung, spleen and kidney, and phlegm, blood stasis, dampness and poison. The positive and the evil can influence each other and cause and effect each other, forming the pathological characteristics of the deficiency, the deficiency, the deficiency and the reality. Chinese medicine treatment of the disease has its unique advantages, external and internal injury equal emphasis, correction and dispelling evil and regulation. From the point of view of "deficiency of qi and coexistence of phlegm and blood stasis", the treatment of renal fibrosis can provide theoretical basis for the treatment of the disease.

Transformer + GAN based Traditional Chinese Medicine inpatient prescription recommendation (Preprint)

2021 ◽  
Author(s):  
Hong Zhang
Keyword(s):  
Decision Making ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Electronic Medical Records ◽  
Clinical Diagnosis ◽  
Medical Records ◽  
Training Data ◽  
Diagnosis And Treatment ◽  
Test Results ◽  
Treatment Scheme

BACKGROUND Clinical diagnosis and treatment decision making support is at the core of medical artificial intelligent research, in which Traditional Chinese Medicine (TCM) decision making is an important part. Traditional Chinese Medicine is a traditional medical system originated from China, of which the main clinical model is to conduct individualized diagnosis and treatment by relying on the four-diagnosis information. One of the key tasks of the TCM artificial intelligence research is to develop techniques and methods of clinical prescription decision making which takes all the relevant information of a patient as input, and produces a diagnosis and treatment scheme as output. Given the complexity of TCM clinical diagnosis and treatment schemes, decision making support of clinical diagnosis and treatment schemes remains as a research challenge for lacking of an effective solution. Fortunately, as the volume of the massive clinical data in the form of electronic medical records increases rapidly, it becomes possible for the computer to produce personalized diagnosis and treatment scheme recommendation through machine learning on the basis of the clinical big data. OBJECTIVE The objective of this research is to develop a real-time diagnosis and treatment scheme recommendation model for TCM inpatients. This is accomplished by using historical clinical medical records as training data to train a Transformer network. Furthermore, to alleviate the issue of overfitting, a Generative Adversarial Network is used to generate noise-added samples from the original training data. These noise-added samples along with the original samples form the complete train data set. METHODS valid information, such as the patient’s current sickness situation, medicines taken, nursing care given, vital signs, examinations and test results, is extracted from the patient’s electronic medical records, then the obtained information is sorted chronically, to produce a sequence of data of each patient. These time-sequence data is then used as input to the Transformer network. The output of the network would be the prescription information a physician would give. Overfitting is a common problem in machine learning, and becomes especially server when the network is complex with insufficient training data. In this research, a Generative Adversarial Network, is used to double the number of training samples by producing noise-added samples from the original samples. This, to a great extent, lessens the overfitting problem. RESULTS A total of 21,295 copies of inpatient electronic medical records from Guang’anmen traditional Chinese medicine hospital was used in this research. These records were created between January 2017 and December 2018, covering a total of 6352 kinds of medicines. These medicines were sorted into 829 types of first category medicines based on the class relationships among medicines. As shown by the test results, the performance of a fully trained Transformer model can have an average precision rate of 80.58%，and an average recall rate of 68.49%. CONCLUSIONS As shown by the preliminary test results, the Transformer-based TCM prescription recommendation model outperforms the existing conventional methods. The extra training samples generated by the GAN network helps to overcome the overfitting issue, leading a further improved recall rate and precision rate.

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