Objective:To investigate the clinical, genetic, and clonality related aspects of individuals with Richter transformation (RT) .Methods:From January 2019 to December 2021, 18 RT patients with diagnoses at the First Affiliated Hospital of Nanjing Medical University (Pukou CLL center) were retrospectively examined. The immunoglobin heavy variable (IGHV) gene usage and IGHV-D-J rearrangement pattern of diagnosed CLL/SLL and transformed diffuse large B-cell lymphoma (DLBCL) were compared to determine the clonality relatedness. To investigate the risk factors of RT, Clinical and laboratory data from patients with newly diagnosed CLL/SLL and transformed DLBCL were gathered.Results:The median age of RT was 56.5 (41-75) years old. 17 patients transformed to DLBCL and 1 transformed to Hodgkin lymphoma (HL) . Of 17 individuals who had DLBCL transformation, 15 had CLL/SLL-related clonality and 2 had unrelated clonality. Next-generation sequencing (NGS) analysis of 11 paired initially diagnosed treatment-naive CLL/SLL and RT DLBCL found that EGR2、TP53 and NOTCH1 were among the most frequently mutated genes both in treatment-naive CLL/SLL and in RT DLBCL. In several cases, specific mutations were gained or lost throughout RT, indicating clonal evolution. Among 10 patients before exposure to BTK inhibitors before RT, four patients acquired BTK mutation. The aforementioned mutations should be considered high-risk variables for transformation; in addition, TP53 and EGR2 mutations could be linked to a poor prognosis following RT in patients receiving a cocktail of new medicines.Conclusion:Most RT DLBCL patients in our center are clonality related (15/17, 88.2% ) and we recommend all qualified centers to evaluate clonality relatedness of RT DLBCL patients. There was some variability in the mutational landscape between DLBCL that had undergone a transformation and initially diagnosed, treatment-naive CLL/SLL. The underlying molecular mechanism of RT needs more research.

Coptidis Rhizoma, as a bulk medicinal material, is in great demand in clinical practice. Its quality is uneven in the market due to the mixture of genuine, counterfeit and adulterants. Therefore, it is particularly important to establish a quality control system for Coptidis Rhizoma. Based on the concept of Chinese medicine quality marker(Q-marker), the potential quality markers of Coptidis Rhizoma were analyzed and predicted from the perspective of chemistry and pharmacology. The sources of the Q-markers of Coptidis Rhizoma were identified by literature retrieval. The potential Q-markers were then screened through the visualization of the "components-targets-pathways" network. High performance liquid chromatography(HPLC) was used to establish a multi-indicator qualitative and quantitative control method featuring fingerprints for 10 batches of Coptidis Rhizoma. A supervised mode of orthogonality partial least squares method-discriminant analysis(OPLS-DA) was used to screen the main marker components that caused differences between groups. The literature review results showed that the alkaloids were the main source of Coptidis Rhizoma Q-markers.The fingerprints of 13 common peaks were successfully established, and berberine, palmatine, berberine and epiberberine were selected as Q-markers of Coptidis Rhizoma, and their contents were determined.Based on the concept of the Q-marker of traditional Chinese medicine, the four components can be selected as the Q-marker of Coptidis Rhizoma after comprehensive consideration. The results of this study are not only conducive to the quality evaluation of Coptidis Rhizoma on the market, but also provide a reference for the overall quality control of Coptidis Rhizoma and lay foundation for the future exploration of the mechanism of Coptidis Rhizoma.
Alkaloids ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Multivariate Analysis ; Rhizome

Objective: Prior pulmonary tuberculosis (PTB) on chest X-ray (CXR) was commonly found in infertile patients receiving examinations before Method: We conducted a retrospective cohort study of 14,254 infertile patients who had received IVF-ET at Peking University Third Hospital in 2017. Prior PTB was defined as the presence of signs suggestive of old or inactive PTB on CXR, with or without a clinical TB history. Patients who had prior PTB on CXR but had not received a clinical diagnosis and anti-TB therapy were included for analysis. Live birth, clinical pregnancy, and miscarriage rates were compared between the untreated PTB and non-PTB groups. Results: The untreated PTB group had significantly lower clinical pregnancy (31.7% Conclusions Untreated PTB was associated with adverse pregnancy outcomes after IVF-ET, especially in patients with unexplained infertility, highlighting the clinical significance of PTB in this specific patient population.
Abortion, Spontaneous/epidemiology* ; Adult ; China/epidemiology* ; Embryo Transfer/statistics & numerical data* ; Female ; Fertilization in Vitro/statistics & numerical data* ; Humans ; Infertility, Female/etiology* ; Live Birth/epidemiology* ; Middle Aged ; Pregnancy ; Pregnancy Complications, Infectious/epidemiology* ; Pregnancy Outcome/epidemiology* ; Radiography, Thoracic ; Retrospective Studies ; Tuberculosis, Pulmonary/epidemiology* ; Young Adult

OBJECTIVE: To investigate the clinical effect and safety of Chinese Children's Leukemia Group (CCLG)-ALL 2008 (high risk group) protocol in the treatment with childhood Mixed phenotype acute leukemia (MPAL). METHODS: The clinical data of 15 new diagnosed patients with MPAL treated in our hospital from January 2013 to December 2017 were retrospectively analyzed, and received CCLG-ALL 2008 (high risk group) protocol chemotherapy. RESULTS: One patient gave up treatment after diagnosed, and 14 children with MPAL after induction remission chemotherapy, 3 patients gave up, and 5 patients received consolidation chemotherapy, and 6 patients received allogeneic hematopoietic stem cell transplantation (allo-HSCT). The complete remission (CR) rate was 85.7% at d33 of induction remission chemotherapy. The serious adverse event and treatment-related mortality (TRM) rate was 71.4% and 14.3%, respectively. The recurrence rate was 21.4% and the median time of relapse was 12(9.7-18.4) months. Except for 4 patients who gave up treatment, the 5-year event-free survival (EFS) rate in the other 11 patients was (54.5±15.0)%. The 5 years EFS of 4 patients who received consolidation chemotherapy was significantly lower than the 6 patients who received allo-HSCT after CR (25.0%±21.7% vs 83.3%±15.2%, P=0.033). CONCLUSION The CCLG-ALL2008 (for high-risk group) protocol in treatment of children with MPAL can get a high CR rate, but also with a high incidence of SAE. The patients received allo-HSCT after CR may have a good prognosis.
Child ; Disease-Free Survival ; Hematopoietic Stem Cell Transplantation ; Humans ; Leukemia, Myeloid, Acute ; Phenotype ; Prognosis ; Remission Induction ; Retrospective Studies

OBJECTIVE: To investigate the clinical features and prognostic factors of acute lymphoblastic leukemia (ALL) children with P2RY8-CRLF2 gene rearrangement. METHODS: A total of 108 children with B-cell ALL (B-ALL) were diagnosed and systematically treated according to Chinese Children's Leukemia Group (CCLG) -ALL 2008 in our hospital from January 2016 to December 2016. The 108 patients were divided into two groups according to the result of mutiplex polymerase chain reaction: group with P2RY8-CRLF2 gene rearrangement and group without P2RY8-CRLF2 gene rearrangement. The ALL children with P2RY8-CRLF2 gene rearrangement were all treated by CCLG-ALL 2008 high-risk group (HR) regimens, and the ALL children in group without P2RY8-CRLF2 gene rearrangement received different intensity chemotherapy according to clinical risk classification. RESULTS: Five (4 male and 1 female) out of 108 patients with B-ALL had P2RY8-CRLF2 gene rearrangement. In the 5 B-ALL patients with P2RY8-CRLF2 gene rearrangement, the median age of the was 4 (2-6) years old and the median WBC count was 26.2 (2.46-525.1)×10 CONCLUSION The early treatment response and prognosis of ALL children with P2RY8-CRLF2 gene rearrangement are worse, and more effective protocol is needed for this subtype patients.
Child ; Child, Preschool ; Disease-Free Survival ; Female ; Gene Rearrangement ; Humans ; Male ; Precursor B-Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Prognosis ; Receptors, Cytokine/genetics* ; Receptors, Purinergic P2Y/genetics*

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

OBJECTIVE: To investigate the nutritional status of children with cerebral palsy (CP) and the clinical effectiveness of Subjective Global Nutritional Assessment (SGNA) in nutritional assessment of hospitalized children with CP. METHODS: A total of 208 children with CP, aged 1-5 years, who were hospitalized from April to October 2019 were enrolled as subjects. SGNA was used to investigate nutritional status, and the Z-score method recommended by the World Health Organization was used as a reference standard to validate the clinical effectiveness of SGNA. RESULTS: The detection rate of malnutrition in children with CP was 42.3% by SGNA and 39.4% by the Z-score method (P>0.05). The application of SGNA showed high consistency between different evaluators (κ=0.621, P<0.001). With the Z-score method as the reference standard, SGNA had a sensitivity of 80.5%, a specificity of 82.5%, a positive predictive value of 75.0%, and a negative predictive value of 86.7%, and high consistency was observed between the two evaluation methods (κ=0.622, P<0.001). SGNA was moderately consistent with weight-for-age Z-score and height-for-age Z-score (κ=0.495 and 0.478 respectively, P<0.001) and was poorly consistent with weight-for-height Z-score (κ=0.197, P<0.05). CONCLUSIONS There is a relatively high incidence rate of malnutrition in children with CP. SGNA can be used as a tool to assess the nutritional status of children with CP.
Cerebral Palsy ; Child ; Child, Hospitalized ; Child, Preschool ; Humans ; Infant ; Malnutrition ; Nutrition Assessment ; Nutritional Status ; Treatment Outcome

Lonicerae Japonicae Flos and Artemisiae Annuae Herba(LA or Jinqing) alcohol precipitation has various process parameters and complex process mechanism, and is one of the key units for manufacturing Reduning Injection. In order to identify the critical process parameters(CPPs) affecting the weight of the extract produced from the alcohol precipitation process, 259 batches of historical production data from 2017 to 2018 were collected, with a total of 829 318 data points. These data showed characteristics of large data, such as a large data volume, a low value density, and diverse sources. The data cleaning and feature extraction were first performed, and 48 feature variables were selected. The original data points were reduced to 9 936. Then, a combination of Pearson correlation analysis and grey correlation analysis were used to screen out 15 potential critical process parameters(pCPPs). After that, the partial least squares(PLS) was used in prediction of the weight of the extract, proving that the performance of predictive model based on 15 pCMAs is equivalent to that of predictive model based on 48 feature variables. The variable importance in projection(VIP) index was used to identify 9 CPPs, including 2 alcohol precipitation supernatant volume parameters, 4 initial extract weight parameters and 3 added alcohol volume parameters. As a result, the number of data points was 1 863, accounting for 0.28% of the original data. The big data analysis approach from a holistic point of view can effectively increase the value density of the original data. The critical process parameters obtained can help to accurately describe the quality transfer mechanism of the Jinqing alcohol precipitation process.
Alcohols ; Big Data ; Drugs, Chinese Herbal/chemistry* ; Solvents ; Technology, Pharmaceutical

To control the risks of powder caking and capsule shell embrittlement of Guizhi Fuling Capsules, a predictive model for hygroscopicity of contents in Guizhi Fuling Capsules was built. A total of 90 batches of samples, including raw materials, intermediate powders and capsules, were collected during the manufacturing of Guizhi Fuling Capsules. According to the production sequence, 47 batches were used as the calibration set, and the properties of raw materials and the four intermediate powders were comprehensively characterized by the physical fingerprint. Then, the partial least squares(PLS) model was developed with the content hygroscopicity as the response variable. The variable importance in projection(VIP), variance inflation factor(VIF) and regression coefficients were used to screen out potential critical material attributes(pCMAs). As a result, five pCMAs from 54 physical parameters were screened out. Furthermore, different models were built by different combinations of pCMAs, and their predictive robustness of 43 batches was evaluated on the basis of the validation set. Finally, the tap density(D_c) of wet granules obtained from wet granulation and the angle of repose(α) of raw materials were identified as the critical material attributes(CMAs) affecting the hygroscopicity of the contents of Guizhi Fuling Capsules. The prediction model established with the two CMAs as independent variables had an average relative prediction error of 2.68% for samples in the validation set, indicating a good accuracy of prediction. This paper proved the feasibility of predictive modeling toward the control of critical quality attributes of Chinese medicine oral solid dosage(OSD). The combination of the continuous quality improvement, the industrial big data and the process modeling technique paved the way for the intelligent manufacturing of Chinese medicine oral solid preparations.
Capsules ; Drug Compounding ; Drugs, Chinese Herbal/chemistry* ; Powders ; Wettability

In this paper, a real time release testing(RTRT) model for predicting the disintegration time of Tianshu tablets was established on the basis of the concept of quality by design(QbD), in order to improve the quality controllability of the production process. First, 49 batches of raw materials and intermediates were collected. Afterwards, the physical quality attributes of all materials were comprehensively characterized. The partial least square(PLS) regression model was established with the 72 physical quality attributes of raw materials and intermediates as input and the disintegration time(DT) of uncoated tablets as output. Then, the variable screening was carried out based on the variable importance in the projection(VIP) indexes. Moisture content of raw materials(%HR), tapped density of wet masses(D_c), hygroscopicity of dry granules(%H), moisture content of milling granules(%HR) and Carr's index of mixed granules(IC) were determined as the potential critical material attributes(pCMAs). According to the effects of interactions of pCMAs on the performance of the prediction model, it was finally determined that the wet masses' D_c and the dry granules'%H were critical material attributes(CMAs). A RTRT model of the disintegration time prediction was established as DT=34.09+2×D_c+3.59×%H-5.29×%H×D_c,with R~2 equaling to 0.901 7 and the adjusted R~2 equaling to 0.893 3. The average relative prediction error of validation set for the RTRT model was 3.69%. The control limits of the CMAs were determined as 0.55 g·cm~(-3) Drug Compounding ; Drug Liberation ; Drugs, Chinese Herbal/chemistry* ; Least-Squares Analysis ; Solubility ; Tablets