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Fundamento: el análisis estadístico implicativo surgió en los años 80 para resolver problemas de la didáctica de las matemáticas. Recientemente se fundamentó su empleo en las Ciencias Médicas para identificar factores de riesgo y pronósticos. Objetivo: evaluar la utilidad del análisis estadístico implicativo en la identificación de los factores pronósticos que más inciden en la mortalidad por linfomas en niños y adolescentes. Método: se realizó un estudio de casos y controles en niños y adolescentes con diagnóstico de linfoma Hodgkin y no Hodgkin atendidos en el Hospital Docente Pediátrico Sur Dr. Antonio María Béguez César de Santiago de Cuba en el período de enero 2008 a enero 2021. Se analizó como variable dependiente el estado del paciente fallecido o vivo al momento del estudio y como covariables se tomaron: el estadio de mal pronóstico, la presencia de síntomas B, el subtipo histológico, la presencia de tres o más sitios extraganglionares, la metástasis, edad y presencia de masa tumoral. Se aplicaron dos técnicas estadísticas, la regresión logística binaria y el análisis estadístico implicativo. Resultados en los casos fue más frecuente el linfoma no Hodgkin mientras que en los controles predominó el Hodgkin. Ambas técnicas reconocieron el subtipo histológico y la afectación extraganglionar como factores pronósticos desfavorables. El análisis estadístico implicativo reconoció además el estadio y la presencia de metástasis. Conclusión: el análisis estadístico implicativo es una técnica que complementa la regresión logística binaria en la identificación de factores pronósticos, lo que permite mejor comprensión de la causalidad.
Background: the implicative statistical analysis arose in the 80s to solve problems in the didactics of mathematics. Its use in the Medical Sciences to identify risk factors and prognoses was recently founded. Objective: to evaluate the usefulness of the implicative statistical analysis in the identification of the prognostic factors that most affect mortality from lymphomas in children and adolescents. Method: a case-control study was carried out in children and adolescents diagnosed with Hodgkin and non-Hodgkin lymphoma treated at the Dr. Antonio María Béguez César Sur Pediatric Teaching Hospital in Santiago de Cuba from January 2008 to January 2021. The state of the deceased or alive patient at the time of the study was analyzed as the dependent variable and the following were taken as covariates: poor prognosis stage, presence of B symptoms, histological subtype, presence of three or more extranodal sites, metastasis, age and presence of tumor mass. Two statistical techniques were applied: binary logistic regression and implicative statistical analysis. Results: non-Hodgkin's lymphoma was more frequent in the cases, while Hodgkin's lymphoma predominated in the controls. Both techniques recognized the histological subtype and extranodal involvement as unfavorable prognostic factors. The implicative statistical analysis also recognized the stage and the presence of metastases. Conclusion: the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality.
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O câncer, como uma das principais causas de mortes no mundo, causa problemas econômicos para as nações. Seus gastos, além de críticos, pressionam o orçamento público, provocando, também, perda de produtividade devido aos afastamentos do trabalho, às mortes e aposentadorias prematuras. Apesar de todo o peso econômico e social do câncer, ainda são poucos os estudos sobre os gastos com essa doença. A ausência de informações mais dinâmicas impede um planejamento mais detalhado e eficiente do processo de gestão, de modo que uma visão mais aprofundada dessas correlações permitirá um planejamento e gestão mais eficientes numa área extremamente sensível da política de saúde no Brasil. O presente trabalho tem como objetivo a realização de uma análise econômica dos gastos com as internações no Sistema Único de Saúde (SUS) de 2012 a 2021. Para tal, utiliza uma metodologia que se inicia na extração de todos os dados públicos no período, considerando um subconjunto dos campos do Sistema de Internações Hospitalares (SIH/SUS) previamente escolhidos e todos os códigos de procedimentos relacionados ao câncer utilizados no Sistema de Gerenciamento da Tabela de Procedimentos, Medicamentos e Órteses, Próteses e Materiais Especiais do SUS (SIGTAP). Após a extração utilizando um programa desenvolvido em outro projeto no LEMAS/IMS/UERJ, os dados foram carregados numa aplicação de Business Intelligence (BI) denominada TABLEAU para análises e apresentação dos resultados, seguida de uma discussão que abrangeu comparações com outros dados nacionais e internacionais. Na sequência, esses dados extraídos foram carregados num sistema de banco de dados MySQL para futuras análises. (AU)
Cancer, as one of the main causes of deaths in the world, causes economic problems for nations. In addition to being critical, its expenses put pressure on the public budget, also causing loss of productivity due to absences from work, deaths and premature retirements. Despite all the economic and social weight of cancer, there are still few studies on the costs associated with this disease. The absence of more dynamic information prevents more detailed and efficient planning of the management process, so a more in-depth view of these correlations will allow for more efficient planning and management in an extremely sensitive area of health policy in Brazil. The objective of this work is to carry out an economic analysis of expenses with hospitalizations in the Unified Health System (SUS) from 2012 to 2021. To this end, it uses a methodology that begins with the extraction of all public data in the period, considering a subset of previously chosen Hospital Admissions System (SIH/SUS) fields and all cancer-related procedure codes used in the SUS Procedures, Medications and Orthoses, Prostheses and Special Materials Table Management System (SIGTAP). After extraction using a program developed in another project at LEMAS/IMS/UERJ, the data was loaded into a Business Intelligence (BI) application called TABLEAU for analysis and presentation of results, followed by a discussion that included comparisons with other national data and international. In sequence. these extracted data were loaded into a MySQL database system for future analysis. (AU)
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Unified Health System , Data Interpretation, Statistical , Health Management , Health Care Economics and Organizations , Public Expenditures on Health , Neoplasms , Brazil , Health Expenditures , Health PolicyABSTRACT
This study focuses on the microbial quality control of the Chinese herbal decoction pieces. In view of the shortcomings of traditional culture methods such as slow detection speed and inability to detect unculturable microorganisms, a new method based on ATP bioluminescence technology combined with statistical analysis methods was established to rapidly predict and quantitatively detect the total aerobic microbial count (TAMC) and total yeast and mold count (TYMC) contaminated Bupleurum chinense DC. decoction pieces. Based on the optimized ATP bioluminesence detection system, accurate detection of pure bacterial solution of Escherichia coli, Bacillus subtilis and Staphylococcus aureus can be achieved, with detection limits of 47.86, 89.13 and 1 862.09 CFU·mL-1, respectively. The detection time was 6.5 h, and the detection cost was as low as 2 yuan/time. The upper and lower warning limits of TAMC were determined by the misjudgment rates of 10% and 20%, respectively. And the warning limit of TYMC was determined by the misjudgment rate of 20%. The proposed crossing method could quickly predict the amount of microbial contamination in Bupleurum chinense DC. decoction pieces. The constructed partial least squares regression (PLSR) model could accurately quantify the quantity of microbial contamination in Bupleurum chinense DC. decoction pieces. The optimal PLSR prediction model for TAMC had a correction coefficient (R2) of 0.826, a root mean square error of correction set (RMSEE) of 0.468 and a root mean square error of cross-validation set (RMSECV) of 0.465. The R2, RMSEE and RMSECV in the prediction model of TYMC were 0.778, 0.543 and 0.541, respectively. The aim of this study is to establish a kind of rapid detection method and prediction models for the microbial limit of traditional Chinese medicine and Chinese herbal decoction pieces, and to provide a more convenient and sensitive detection technology for the microbial quality process control of traditional Chinese medicine products.
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ObjectiveTo explore the regulatory effect of polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran on the plasma metabolites of spleen-deficient rats， and then to elucidate their mechanisms of spleen-enhancing effects. MethodForty male SD rats were randomly divided into the blank group， model group， polysaccharide group （FD group， 0.075 6 g·mL-1·d-1）， n-butanol fractions group （FZ group， 0.012 1 g·mL-1·d-1）， with 10 rats in each group. Except the blank group， the other three groups used the compound factors of overwork， dietary disorders and intragastric administration of Sennae Folium decoction to replicate the rat model of spleen deficiency. After the end of modeling， the FD group and FZ group were given the corresponding medicinal solution by gavage for 7 d， meanwhile， the blank group and model group were given an equal volume of saline. The plasma samples from rats in the blank， model， FZ and FD groups were analyzed by ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry （UHPLC-Q-Orbitrap-MS）， multivariate statistical methods were used to process the data and screen differential metabolites， and metabolic pathway enrichment analysis of the screened differential metabolites was performed using the Kyoto Encyclopedia of Genes and Genomes （KEGG)）database and MetaboAnalyst 5.0. ResultThe results of multivariate statistical analysis showed that there were significant differences in plasma metabolites between the model group and blank group， FZ group and model group， FD group and model group. There were 380 differential metabolites between the blank group and the model group， of which 78 and 57 were called back by polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran， respectively. Metabolic pathway enrichment results showed that the n-butanol fractions mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， D-arginine and D-ornithine metabolism， which were summarized as amino acid metabolism， while the polysaccharides mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， tricarboxylic acid cycle， biotin metabolism and thiamine metabolism. ConclusionBoth of polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran have significant regulating effects on the metabolic abnormalities in spleen-deficient rats， in which the n-butanol fractions is mainly involved in amino acid metabolism， and the polysaccharides are involved in energy metabolism and cofactor and vitamin metabolism in addition to regulating amino acid metabolism.
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Cohort and case-control studies are important types of study design in clinical and epidemiological researches. Although they are both methods to study associations between an exposure and a disease, their core logic is completely different.In order to evaluate the association between an exposure and an outcome, cohort studies group the populations by the research factor (exposure or not), and compare the event rate of the outcome in exposure and control groups through follow-up. Cohort studies are sequential from cause to effect. On the contrary, case-control studies derive cause from effect. Case-control studies group the populations by the outcome (occurrence or not), and compare the distributions of the exposure in case and control groups through retrospective investigation or collection of exposure information from historical records. This paper declares the logic that should be followed in statistical analysis of these two types of studies, as well as the specifications that should be followed in formulating statistical analysis plans and reporting results. The aim of this paper is to enhance the scientific nature of the research and improve the readability of the literature.
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ObjectiveTo investigate the key compounds affecting the irritation and to clarify the effect of heating and the addition of ginger juice as the auxiliary material during the processing on the irritation of Magnoliae Officinalis Cortex（MOC） by comparing the irritation and composition of volatile oil in MOC and its different processed products. MethodVolatile oil in raw products， water-processed products， ginger-dried products， ginger-fried products（the amounts of ginger were 10%， 50%， respectively） of MOC were extracted by steam distillation and subjected to rabbit eye irritation experiment， and the volatile components of each sample were detected by gas chromatography-mass spectrometry（GC-MS）. Principal component analysis（PCA）and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to analyze the data of each sample by SIMCA 14.1. The relative contents of different processed products were compared two by two with those of and raw products or ginger-fried products， and the markers that might be related to the irritation were sorted out according to the principles of variable importance in the projection（VIP） value >1 and P<0.05， and the factors influencing the differences in irritation were analyzed. ResultCompared with the blank group， the administration groups all had irritation to the eyes of rabbits， and the degree of irritation was in the order of raw products>water-processed products>ginger-dried products>ginger-fried products（10%）>ginger-fried products（50%）. The results of PCA and OPLS-DA showed that there were differences in the volatile oil from raw products and different processed products. According to VIP value>1 and P<0.05， and combined with the results of eye irritation experiment， ten volatile compounds related to irritation changes were screened out. Among them， cis-cinnamaldehyde was only detected in raw products， the relative contents of β-caryophyllene， （+）-delta-cadinene， α-humulene， γ-muurolene， （-）-isoledene and citral all increased to different degrees， the contents of p-cymene， 1（10）-4-cadinadien-15-ol and β-eudesmol all decreased to different degrees. ConclusionThe irritation of MOC is reduced after heating and processing with ginger juice， and the synergistic effect of both is more effective for reducing irritation. Among the differential markers associated with changes in irritation， the increase in the relative content of citral is closely related to the addition of ginger juice， while the decrease in the relative contents of cis-cinnamaldehyde， p-cymene， 1（10）-4-cadinadien-15-ol is related to heating， and the changes of other components may be related to the synergistic effect of heating and ginger juice.
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Objective To sort out the key points, problems and countermeasures of data verification through data verification of statistical analysis in 18 bioequivalence studies, and provide reference for improving the statistical analysis reports of related research. Methods SAS and WinNonlin software was used to illustrate that whether the random number tables, main pharmacokinetic parameters and bioequivalence data could reproduce the corresponding results in the original statistical analysis reports. Results Among the 18 studies, sensitivity analysis was supplemented or re-performed for 5 studies due to sampling time deviation of individual subjects or adjustment of sensitivity data sets, resulting in differences in pharmacokinetic parameters from the original statistical analysis report, but same for the bioequivalence evaluation. Other verified data was consistent with the original statistical analysis reports. Conclusions The verification of statistical analysis data of bioequivalence studies is extremely important, and the problems found in this paper should be fully considered when writing such statistical analysis reports.
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OBJECTIVE To screen the differential components of coumarins in Angelica dahurica from two origins （A. dahurica cv.‘ Hangbaizhi’； A. dahurica cv.‘ Qibaizhi’）. METHODS Non-targeted metabolomics technique of UPLC-Q-Exactive- MS/MS was used to analyze the coumarins in 6 batches of A. dahurica cv. ‘Hangbaizhi’ and 12 batches of A. dahurica cv. ‘Qibaizhi’. The differential components were screened by principal component analysis， partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis. Cluster analysis was performed on differential components. RESULTS A total of 41 coumarins were identified in 18 batches of samples， in which 23 coumarins were differential components. Therein， 6 differential components were higher in content in A. dahurica cv.‘ Hangbaizhi’， while 17 differential components were higher in content in A. dahurica cv.‘ Qibaizhi’. The content of marmesin galactoside in A. dahurica cv.‘ Hangbaizhi’ was significantly higher than that in A. dahurica cv.‘ Qibaizhi’. Based on 23 differential components， A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv. ‘Qibaizhi’ could be grouped into one category， respectively. CONCLUSIONS The screened differential components of coumarins can be used to distinguish A. dahurica cv. ‘Hangbaizhi’ from A. dahurica cv. ‘Qibaizhi’， especially marmesin galactoside contributed the most， which can be used to identify A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv.‘ Qibaizhi’.
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ObjectiveTo study the potential quality marker （Q-marker） of Tinosporae Radix associated with efficacy of "relieving sore throat" based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， multivariate statistical analysis （MSA）， and network pharmacology. MethodUPLC-Q-TOF-MS was used to identify the main chemical components in 18 batches of Tinosporae Radix. On this basis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were employed to screen out the main marker components that caused differences between groups. Moreover， network pharmacology technology was applied to predict the potential "sore throat-relieving" components， and the molecular docking between the common components resulting from MSA and network pharmacology and the core targets was carried out to verify the marker components. ResultA total of 17 compounds， including alkaloids， diterpenoid lactones， and sterols， were identified by UPLC-Q-TOF-MS. Five main differential components were found by MSA： Columbamine， jatrorrhizine， palmatine， menisperine， and columbin. Network pharmacology analysis yielded six compounds： tetrahydropalmatine， palmatine， menisperine， fibleucin， neoechinulin A， and columbin which were selected as potential "sore throat-relieving" components of Tinosporae Radix. They may relieve sore throat by acting on interleukin-6， epidermal growth factor receptor， prostaglandin G/H synthase 2， matrix metalloproteinase-9， proto-oncogene tyrosine-protein kinase Src and other targets， and regulating Hepatitis B， influenza A， human T-cell virus infection， human cytomegalovirus infection， coronavirus disease-2019， and other signaling pathways. The common active components in Tinosporae Radix resulting from MSA and network pharmacology analysis were palmatine， menisperine， and columbin， which had high binding affinity with six core targets and can be used as the Q-marker components of Tinosporae Radix in "relieving sore throat". ConclusionThis study predicts the "sore throat-relieving" Q-marker of Tinosporae Radix， which lays a basis for developing the quality standard of Tinosporae Radix based on the efficacy and improving the quality evaluation system of the medicinal.
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OBJECTIVE To improve the quality standard of Yi medicine Gynura japonica， and to evaluate its quality. METHODS Using 15 batches of G. japonica from different producing areas as samples， the contents of water， total ash， acid- insoluble ash and water-soluble extract were determined according to the method stated in part Ⅳ of Chinese Pharmacopoeia （2020 edition）. The contents of total alkaloid （calculated by senecionine） was determined by UV spectrophotometry. The contents of senecionine and seneciphylline were determined by HPLC. Using above 7 indexes as evaluation indexes， cluster heat map analysis， principal component analysis （PCA） and entropy weight approximation ideal ranking （TOPSIS） were used to evaluate the quality of medicinal material comprehensively. RESULTS Among 15 batches of G. japonica， the moisture contents were 8.88%-12.60%， the total ash contents were 4.43%-11.02%， the acid-insoluble ash contents were 0.56%-3.45%， the water-soluble extract contents were 21.71%-53.91%， the total alkaloid contents （calculated by senecionine） were 0.15%-0.39%， and the contents of senecionine and seneciphylline were 0.01% -0.05% and 0.01%-0.06% respectively. According to the results of various indicators， it was preliminarily proposed that the water content in the sample of G. japonica should not exceed 13.00%， the total ash content should not exceed 11.50%， the acid-insoluble ash content should not exceed 3.70%， the water-soluble extract should not be less than 20.70%， the total alkaloid content should not be less than 0.15%， the contents of senecionine and seneciphylline should not be less than 0.01% both. The results of cluster heat map analysis showed that the 15 batches of samples could be divided into four categories； the results of PCA and TOPSIS showed that the samples with high-quality ranking were jsq-2， jsq-5， jsq-6 and jsq-10， and the samples with low-quality ranking were jsq-4， jsq-13 and jsq-14. CONCLUSIONS In this study， the quantitative analysis method of total alkaloids （calculated by senecionine）， senecionine and seneciphylline in G. japonica is established， and the limits of each index are preliminarily determined. Among 15 batches of samples， the qualities of medicinal material collected from Linza Village of Ganluo County of Liangshan Yi Autonomous Prefecture， Machangping Village of Luojishan Town of Puge County of Liangshan Yi Autonomous Prefecture and other places are better.
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From the perspective of market classification of Cnidii Fructus, this paper revealed the scientific connotation of evaluating the quality grade of Cnidii Fructus by its appearance traits. Thirty batches of Cnidii Fructus in different grades were selected as the research objects. The canonical correlation analysis and principal component analysis(PCA) were used to explore the measurement values of 15 appearance traits and intrinsic content indexes. The results of correlation analysis showed that except the aspect ratio, the 5 appearance trait indexes(length, width, 1 000-grain weight, broken grain weight proportion, and chroma) and 9 internal content indexes(the content of moisture, total ash, acid insoluble ash, osthole, imperatorin, 5-methoxy psoralen, isopimpinellin, xanthotoxin, and xanthotol) showed significant correlation to varying degrees. In addition, there was a significant positive correlation between the first typical variable U_1 composed of appearance traits and the first typical variable V_1 composed of internal content indexes(CR_1=0.963, P<0.01). The results of PCA showed that the classification results of appearance traits for 30 batches of Cnidii Fructus were consistent with the actual information of the samples. Under the same analysis conditions, 30 batches of Cnidii Fructus were reclassified by 9 groups of internal content indexes, and the analysis results were consistent. From the classification standard of the appearance traits of the system study, the statistical results of 6 appearance traits of Cnidii Fructus showed a correlation with grades. There was a good correlation between the appearance and the internal content of Cnidii Fructus, and the appearance quality effectively predicted the level of the internal content. There is a certain scientific basis for the quality classification of Cnidii Fructus by main appearance traits. Appearance classification can replace quality grading to realize the "quality evaluation through morphological identification" of Cnidii Fructus.
Subject(s)
Fruit , Phenotype , Principal Component Analysis , Population GroupsABSTRACT
This study explored the feasibility of mineral element content and ratios of nitrogen isotopes to discriminate the cultivation mode of Dendrobium nobile in order to provide theoretical support for the discrimination of the cultivation mode of D. nobile. The content of 11 mineral elements(N, K, Ca, P, Mg, Na, Fe, Cu, Zn, Mn, and B) and nitrogen isotope ratios in D. nobile and its substrate samples in three cultivation methods(greenhouse cultivation, tree-attached cultivation, and stone-attached cultivation) were determined. According to the analysis of variance, principal component analysis, and stepwise discriminant analysis, the samples of different cultivation types were classified. The results showed that the nitrogen isotope ratios and the content of elements except for Zn were significantly different among different cultivation types of D. nobile(P<0.05). The results of correlation analysis showed that the nitrogen isotope ratios, mineral element content, and effective component content in D. nobile were correlated with the nitrogen isotope ratio and mineral element content in the corresponding substrate samples to varying degrees. Principal component analysis can preliminarily classify the samples of D. nobile, but some samples overlapped. Through stepwise discriminant analysis, six indicators, including δ~(15)N, K, Cu, P, Na, and Ca, were screened out, which could be used to establish the discriminant model of D. nobile cultivation methods, and the overall correct discrimination rates after back-substitution test, cross-check, and external validation were all 100%. Therefore, nitrogen isotope ratios and mineral element fingerprints combined with multivariate statistical analysis could effectively discriminate the cultivation types of D. nobile. The results of this study provide a new method for the identification of the cultivation type and production area of D. nobile and an experimental basis for the quality evaluation and quality control of D. nobile.
Subject(s)
Dendrobium , Minerals , Discriminant Analysis , Multivariate Analysis , Nitrogen IsotopesABSTRACT
This study aims to explore the chemical composition of Rehmanniae Radix braised with mild fire and compare the effect of processing method on the chemical composition of Rehmanniae Radix. To be specific, ultra-high performance liquid chromatography with linear ion trap-orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) was used to screen the chemical constituents of Rehmanniae Radix. The chemical constituents were identified based on the relative molecular weight and fragment ions, literature information, and Human Metabolome Database(HMDB). The ion peak area ratio of each component before and after processing was used as the index for the variation. SIMCA was employed to establish principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models of different processed products. According to the PCA plot, OPLS-DA plot, and VIP value, the differential components before and after the processing were screened out. The changes of the content of differential components with the processing method were analyzed. A total of 66 chemical components were identified: 57 of raw Rehmanniae Radix, 55 of steamed Rehmanniae Radix, 55 of wine-stewed Rehmanniae Radix, 51 of repeatedly steamed and sundried Rehmanniae Radix Praeparata, 62 of traditional bran-braised Rehmanniae Radix, and 63 of electric pot-braised Rehmanniae Radix. Among them, the 9 flavonoids of braised Rehmanniae Radix were from Citri Reticulatae Pericarpium. PCA suggested significant differences in the chemical composition of Rehmanniae Radix Praeparata prepared with different processing methods. OPLS-DA screened out 32 chemical components with VIP value >1 as the main differential components. Among the differential components, 9 were unique to braised Rehmanniae Radix(traditional bran-braised, electric pot-braised) and the degradation rate of the rest in braised(traditional bran-braised, electric pot-braised) or repeatedly steamed and sundried Rehmanniae Radix was higher than that in the steamed or wine-stewed products. The results indicated the chemical species and component content of Rehmanniae Radix changed significantly after the processing. The 32 components, such as rehmapicrogenin, martynoside, jionoside D, aeginetic acid, hesperidin, and naringin, were the most important compounds to distinguish different processed products of Rehmanniae Radix. The flavonoids introduced by Citri Reticulatae Pericarpium as excipient may be the important material basis for the effectiveness of braised Rehmanniae Radix compared with other processed products.
Subject(s)
Humans , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/chemistry , Plant Extracts/chemistry , Rehmannia/chemistry , Flavonoids/analysisABSTRACT
OBJECTIVE To establish comprehensive quality evaluation method based on multi-index components combined with multivariate statistical analysis， and to comprehensively evaluate the quality of Periploca forrestii. METHODS Taking 11 batches of P. forrestii medicinal materials from different areas in Guizhou as samples， the contents of neochlorogenic acid， cryptochlorogenic acid， chlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C were determined by HPLC. Clustering heat map analysis， grey correlation analysis（GRA） and technique for order preference by similarity to ideal solution（TOPSIS） were used to evaluate the quality of P. forrestii. RESULTS The results of methodological investigation of content determination were in accordance with the relevant regulations， and the linear relationship and accuracy of each component were good in their respective sampling range. The contents of chlorogenic acid， cryptochlorogenic acid， neochlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C in 11 batches of samples were 3.650-7.302， 0.888-2.575， 1.371- 2.386， 0.947-1.469， 0.084-0.169 and 0.725-1.067 mg/g， respectively. The content of each component was significantly different， with the highest content of chlorogenic acid and the lowest content of isochlorogenic acid A. The comprehensive results of cluster heat map， GRA and TOPSIS analysis showed that the comprehensive quality of S5 and S10 was relatively good. CONCLUSIONS The established method is accurate， stable and simple. Combined with multivariate statistical analysis method， it can be used for quality evaluation of P. forrestii. The quality of samples from Jiuzhou Town and Caiguan Town of Xixiu District in Anshun City of Guizhou Province are relatively good among 11 different origin samples.
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A comprehensive analytical method based on ultra-fast liquid chromatography coupled with triple quadrupole/linear ion trap tandem mass spectrometry(UFLC-QTRAP-MS/MS) was established for simultaneous determination of the content of 45 bioactive constituents including flavonoids, alkaloids, amino acids, phenolic acids, and nucleosides in Epimedium brevicornum. The multiple bioactive constituents in leaves, petioles, stems and rhizomes of E. brevicornum were analyzed. The gradient elution was performed at 30 ℃ in an XBridge~® C_(18) column(4.6 mm×100 mm, 3.5 μm) with 0.4% formic acid aqueous solution-acetonitrile as the mobile phase at a flow rate of 0.8 mL·min~(-1). Single factor experiment and response surface methodology were employed to optimize the extraction conditions. Multivariate statistical analyses including systematic cluster analysis(SCA), principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and one-way analysis of variance(One-way ANOVA) were carried out to classify the samples from different parts and identify different constituents. Grey relation analysis(GRA) and entropy weight-TOPSIS analysis were performed to build a multi-index comprehensive evaluation model for different parts of E. brevicornum. The results showed that there was a good relationship between the mass concentrations of 45 constituents and the corresponding peak areas, with the correlation coefficients(r) not less than 0.999 0. The precision, repeatability, and stability of the established method were good for all the target constituents in this study, with the relative standard deviations(RSDs) less than 5.0%(0.62%-4.9%) and the average recovery of 94.51%-105.7%. The above results indicated that the bioactive constituents varied in different parts of E. brevicornum, and the overall quality followed the trend of leaves > petioles > rhizomes > stems. This study verified the rationality of the Chinese Pharmacopoeia(2020 edition) stipulating that the medicinal part of E. brevicornum is the leaf. Moreover, our study indicated that the rhizome had the potential for medicinal development. The established method was accurate and reliable, which can be used to comprehensive evaluate and control the quality of E. brevicornum. This study provides data reference for clarifying the medicinal parts and rationally utilizing the resources of E. brevicornum.
Subject(s)
Chromatography, High Pressure Liquid , Epimedium , Tandem Mass Spectrometry , Chromatography, Liquid , Multivariate AnalysisABSTRACT
Huocao(a traditional Chinese herbal medicine) moxibustion is a characteristic technology in Yi medicine suitable for cold-dampness diseases. Huocao, as the moxibustion material, is confusedly used in clinical practice and little is known about its quality control. In this study, UPLC method was used to establish the chemical fingerprint of non-volatile components in Huocao, and the contents of eight phenolic acids such as chlorogenic acid were determined. Multivariate statistical analysis was performed to obtain the indicator components of Huocao for quality evaluation, and thus a comprehensive evaluation system for the quality of Huocao was built. The UPLC fingerprints of 49 batches of Huocao were established, and there were 20 common peaks, of which eight phenolic acids including neochlorogenic acid and chlorogenic acid were identified. Except for three batches of Huocao, the similarity of the other 46 batches was higher than 0.89, suggesting that the established fingerprint method could be used for quality control of the medicinal herb. The correlation coefficient between entropy weight score of the eight phenolic acids and comprehensive fingerprint score in Huocao was 0.875(P<0.01), which indicated that the eight phenolic acids could be used as indicator components for the quality evaluation of Huocao. Furthermore, in multivariate statistical analysis on the common peaks of fingerprint and the contents of the eight phenolic acids, chlorogenic acid, isochlorogenic acid A and isochlorogenic acid C were screened to be the indicator components. The results revealed that the proposed method achieved a simple and accurate quality control of Huocao based on UPLC fingerprint and multi-component content determination, which provided useful data for establishing the quality standard of Huocao.
Subject(s)
Chlorogenic Acid , Entropy , Hydroxybenzoates , Quality ControlABSTRACT
Introduction: The new coronavirus pandemic (COVID-19) is unprecedented in recorded human history. It spread from Wuhan, China, in early December, 2019, crossing the entire planet and reaching Brazilian shores in the following February. It was declared a pandemic on March 11, 2020, with the first case recorded in the city of Uberaba, state of Minas Gerais, Brazil, on March 18, 2020. Since then, we have been collecting data and assessing the evolution of this fatal disease. Objective: In this work, we report the epidemiological characteristics of one year of the COVID-19 in Uberaba, and discuss its implications to the general public. Method: This is an observational, descriptive, documentary and retrospective study to describe the epidemiological profile of COVID-19 cases in the city of Uberaba from March 18, 2020 to March 17, 2021. Results: The study shows that the young-working age population are those who most spread the virus; however, the elderly are those who suffer and die the most, with slight differences regarding sex. This is in line with the reported national and international epidemiological profiles that show a shifting tendency of younger generations to be increasingly active on the evolution of the pandemic. We observed two major peaks on the two epidemiological time-series, confirmed cases and deaths, with an average age of 41 years old for the confirmed cases and 68 for the confirmed deaths. It was also reported that the lethality rate was 2.45%, and 80.00% of the confirmed deaths suffered from some previous health condition. Conclusions: In this sense, a permanent epidemiological surveillance has to take place in order to guide public health counter-measurements. The epidemiological characteristics of COVID-19 in Uberaba and related analyses are reported in the online observatory at https://coviduberaba.github.io.
Introdução: A pandemia do novo coronavírus (COVID-19) é inédita na história humana registrada. Espalhou-se de Wuhan, na China, no início de dezembro de 2019, cruzando todo o planeta e chegando à costa brasileira no mês de fevereiro seguinte. Foi declarada pandemia em 11 de março de 2020, com o primeiro caso registrado na cidade de Uberaba, estado de Minas Gerais, Brasil, em 18 de março de 2020. Desde então, estamos coletando dados e avaliando a evolução dessa fatalidade doença. Objetivo: Neste trabalho, relatamos as características epidemiológicas de um ano da COVID-19 em Uberaba e discutimos suas implicações para o público em geral. Método: Trata-se de um estudo observacional, descritivo, documental e retrospectivo para descrever o perfil epidemiológico dos casos de COVID-19 na cidade de Uberaba no período de 18 de março de 2020 até 17 de março de 2021. Resultados: O estudo mostra que a população jovem em idade ativa é a que mais espalha o vírus, no entanto, os idosos são os que mais sofrem e morrem, com pequenas diferenças em relação ao sexo. Isso está de acordo com os perfis epidemiológicos nacionais e internacionais relatados que mostram uma tendência de mudança das gerações mais jovens a serem cada vez mais ativas na evolução da pandemia. Observamos dois grandes picos nas duas séries temporais epidemiológicas, casos confirmados e óbitos, com média de idade de 41 anos para os casos confirmados e 68 para os óbitos confirmados. Também foi relatado que a taxa de letalidade foi de 2,45%, e 80,00% das mortes confirmadas sofriam de alguma condição de saúde anterior. Conclusões: Nesse sentido, uma vigilância epidemiológica permanente deve ocorrer para orientar as contramedidas de saúde pública. As características epidemiológicas da COVID-19 em Uberaba e análises relacionadas são relatadas no observatório online em https://coviduberaba.github.io.
ABSTRACT
Introducción: el diseño de la metodología ASI-IMC permite una correcta aplicación del análisis estadístico implicativo en los estudios de causalidad en salud. Luego surgió la necesidad de validarla. Objetivo: evaluar la efectividad de la metodología de aplicación del ASI-IMC. Métodos: se realizó un estudio observacional analítico prospectivo de tipo casos y controles anidado en una cohorte, cuyo universo de estudio quedó conformado por todas las mujeres mayores de 18 años de edad, con el diagnóstico clínico e histológico de cáncer de mama, procedentes de la provincia de Santiago de Cuba, atendidas en el Hospital Oncológico Conrado Benítez, entre 2014 y 2019. Se emplearon como covariables 25 factores pronósticos supuestos. Se aplicó la regresión logística binaria previa verificación del cumplimiento de los supuestos requeridos sobre una muestra de 280 pacientes a razón de un control por caso que constituyó el mismo conjunto de datos al que se aplicó el análisis estadístico implicativo, para luego comparar los resultados de ambas técnicas. Se consideró la regresión como el estándar de oro, para lo cual se estimaron 14 indicadores: sensibilidad, especificidad, valores predictivos, razones de verosimilitud, odds ratio de diagnóstico, entre otros. Resultados: fueron identificados, por ambas técnicas estadísticas, como factores de buen pronóstico de mortalidad por cáncer de mama en la población estudiada la determinación de los biomarcadores y de mal pronóstico el estadio avanzado, la metástasis y la quimioterapia. Los indicadores de eficacia arrojaron valores a favor de la técnica evaluada. Conclusiones: se validó de manera satisfactoria la metodología diseñada demostrando ser efectiva para la identificación de factores pronósticos(AU)
Introduction: the design of the ASI-IMC methodology allows a correct application of the implicative statistical analysis in the studies of causality in health. Then the need arose to validate it. Objective: to validate the designed ASI-IMC methodology. Methods: a prospective analytical observational study of the case and control type nested in a cohort was carried out.The universe of study was made up of all women over 18 years of age, with a clinical and histological diagnosis of breast cancer, from the province of Santiago de Cuba, treated at the Conrado Benítez Oncological Hospital, between 2014 and 2019. Twenty-five assumed prognostic factors were used as covariates. Binary logistic regression was applied after verification of compliance with the required assumptions on a sample of 280 patients at the rate of one control per case, which constituted the same data set to which the statistical analysis was applied, in order to compare the results of both techniques. Regression was considered as the gold standard, for which 14 indicators were estimated: sensitivity, specificity, predictive values, likelihood ratios, diagnostic odds ratio, among others. Results: both statistical techniques identified biomarkers as good prognosis factors for breast cancer mortality in the study population, and advanced stage, metastasis, and chemotherapy as poor prognostic factors. The efficacy indicators showed values in favor of the evaluated technique. Conclusions: the designed methodology was satisfactorily validated, proving to be effective for the identification of prognostic factors(AU)
Subject(s)
Humans , Female , Prognosis , Breast Neoplasms/diagnosis , Logistic Models , Prospective Studies , Observational StudyABSTRACT
Environmental concerns are increasing in and around us due to improper discharge of personal protective gear or equipment (PPEs) during the current pandemic with SARS-CoV-2.The residents of Salalah, under the Dhofar governorate of Oman,were hastening to take every possible measure to safeguard their health against the COVID-19 pandemic. In this scenario, improper discard of facemasks in the environment entails a significant problem forpublic health and aquatic environments. Objective:This study aimsto assess how the SARS-CoV-2 virus disrupted the household waste management chainin the Sultanate of Oman. In addition, descriptivesurvey has also identified people's perception about the existing household waste management system. Methods:Total 200 respondents were personally selected under the purposive sampling category. Data were analyzed using SPSS version 26. The mean, standard deviation, and distribution shapewere calculated based on the retrieved data. The variables and frequencies were tabulated for categorical variables. Results show negative impacts on the environment, wildlife, and public health. It was also observed that there was a significant difference when grouped according to residence location since the obtainedalso observed a significant difference when grouped according to residence location since thep-value of 0.007 was less than 0.05 alpha level. This means that the responses differ significantly. It shows from the test conducted that participantsfrom the village experienced and observed a negative impact on the discarded face masks comparedto those in the city.Conclusion and recommendation: This study illustrates the real impact of the COVID-19 facemasks on the environment, wildlife, and public health. In addition, the new management of the user's facemasks for eliminating or reducing the risks to human health and the environmenthas been suggested. [Ethiop. J. Health Dev. 2022; 36(2):000-000]
Subject(s)
Environmental Health , Data Interpretation, Statistical , Microplastics , COVID-19 , Health Care Surveys , N95 Respirators , SARS-CoV-2ABSTRACT
Background:Environmental concerns are increasing in and around us due to improper discharge of personal protective gear or equipment (PPEs) during the current pandemic with SARS-CoV-2.The residents of Salalah, under the Dhofar governorate of Oman,were hastening to take every possible measure to safeguard their health against the COVID-19 pandemic. In this scenario, improper discard of facemasks in the environment entails a significant problem forpublic health and aquatic environments. Objective:This study aimsto assess how the SARS-CoV-2 virus disrupted the household waste management chainin the Sultanate of Oman. In addition, descriptivesurvey has also identified people's perception about the existing household waste management system. Methods:Total 200 respondents were personally selected under the purposive sampling category. Data were analyzed using SPSS version 26. The mean, standard deviation, and distribution shapewere calculated based on the retrieved data. The variables and frequencies were tabulated for categorical variables. Results show negative impacts on the environment, wildlife, and public health. It was also observed that there was a significant difference when grouped according to residence location since the obtainedalso observed a significant difference when grouped according to residence location since thep-value of 0.007 was less than 0.05 alpha level. This means that the responses differ significantly. It shows from the test conducted that participantsfrom the village experienced and observed a negative impact on the discarded face masks comparedto those in the city.Conclusion and recommendation: This study illustrates the real impact of the COVID-19 facemasks on the environment, wildlife, and public health. In addition, the new management of the user's facemasks for eliminating or reducing the risks to human health and the environmenthas been suggested. [Ethiop. J. Health Dev. 2022; 36(2):000-000