OBJECTIVETo study on growth characteristics of Curcuma wenyujin, and provide theoretical basis for the development of high-quality and high-yield medical material.

METHODThe morphological change of the plant was observed periodically, the content of volatile oil and dry matter in leaves, rhizome, root tuber was determine.

RESULTThe growth of C. wenyujin could be divided into 5 stages, i. e. seed germination, seedling, leaf growth, rhizome expansion, accumulation of dry matter, respectively. Before the stage of rhizome expansion, over 70% dry matter was accumulated in the aerial part of the plant, and during the stage of leaf growth, the maximum increase rate of dry matter in aerial part was 3.90 g/p/d. During the stage of rhizome expansion, the ratio of dry matter of rhizome increased quickly and reached above 33% , and the increase rate of dry matter of rhizome rise up to 3.83 g/p/d, in the end of the stage, the content of volatile oil in the rhizome also rose up to 1.20 mL x 100 g(-1).

CONCLUSIONDuring the whole growth stage, there are two growth centers, when the two curves of dry matter increase of aerial part and rhizome intersect, it is regarded as a signal that the growth transformed form the aerial part to rhizome. When the rate of dry matter from rhizome rise, the content of volatile oil in rhizome rises quickly with the increase of dry matter in rhizome. The optimal harvest time is in mid-December.

Curcuma ; anatomy & histology ; chemistry ; growth & development ; Germination ; Oils, Volatile ; analysis ; Plant Components, Aerial ; chemistry ; growth & development ; Plant Leaves ; chemistry ; growth & development ; Plant Roots ; chemistry ; growth & development ; Plants, Medicinal ; anatomy & histology ; chemistry ; growth & development ; Rhizome ; chemistry ; growth & development ; Seasons ; Seedlings ; chemistry ; growth & development ; Seeds ; growth & development

Objective To analyze the clinical data of 12 children with advanced Wlims' tumor in children from Feb.2009 to Jun.2012.All cases were diagnosed by pathology and to analysis the clinic efficacy and treatment experience were analyzed.Methods Of 12 patients,10 cases were male and 2 cases were female.The medium age of 12 patients was 2.54 years old(9 months-15 years old).According to pathological stage and clinical stage of The National Wilms' Tumor Study Group(NWTSG),5 cases belonged to stage lⅢ,and 7 cases stage Ⅳ.Six cases were well-differentiated tissue type,and 6 cases were poorly differentiated tissue type according to NWTSG.In all patients,different ways of chemotherapy and radiotherapy were selected according to clinical stage and tissue type differentiation.If a patient had repeated recurrence after common surgery and chemotherapy,would treated by antologous peripheral blood stem cell transplantation(APBSCT).Statistic analysis was used to analyze the clinical characters and efficacy and prognosis for 12 patients.Results 1.Initial symptoms:in 12 cases,8 cases presented abdominal mass (66.6％),2 cases with abdominal pain and fever(12.7％),and 2 cases with hematuria(12.7％).2.Eleven cases followed up to Jan.2013,the medium time was 31.5 months(8-131 months).Of 12 cases,1 case give up therapy and follow-up and 11 cases were followed up.Of those 11 cases followed-up,4 cases had complete remission(CR),and 1 case had remission in part(PR),the conditions of 5 cases were progressively worse,1 case replapsed,and 4 patients died.Total survival rate was 63.63％ (7/11 cases),and mortality was 36.37％ (4/11 cases),and free survival rate was 36.37％ (4/11 cases),of that,1 patient of stage Ⅳ,relapsed 3 times after common radiotherapy and chemotherapy,achieved complete remission after high dose chemotherapy (Melphalan + Carboplatin + Etoposide,CEM) and APBSCT.The estimated 3-yearsurvival rate was 51.4％.Conclusions The prognosis of advanced Wilms' tumor is poor,and the mortality is still high.High dose chemotherapy with APBSCT may be a valuable method for advanced cases.

Occupational exposure to diacetyl can lead to bronchiolitis obliterans. In this paper, two patients with severe obstructive ventilation disorder who were exposed to diacetyl at a fragrance and flavours factory were analyzed. The clinical manifestations were cough and shortness of breath. One of them showed Mosaic shadows and uneven perfusion in both lungs on CT, while the other was normal. Field investigation found that 4 of the 8 workers in the factory were found to have obstructive ventilation disorder, and 2 had small airway dysfunction. This paper summarizes the diagnostic process of patients in order to improve the understanding of airway dysfunction caused by occupational exposure to diacetyl and promote the development of relevant standards.
Humans ; Diacetyl/adverse effects* ; Occupational Diseases/diagnosis* ; Occupational Exposure/adverse effects* ; Lung ; Bronchiolitis Obliterans/diagnosis*

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

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