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China Pharmacy ; (12): 586-591, 2022.
Article in Chinese | WPRIM | ID: wpr-920729


OBJECTIVE To establish HPLC finger print of Leonurus japonicus granules,and to determine the contents of 4 index components such as leonurine hydrochloride ,ferulic acid ,rutin,hyperoside. METHODS The determination was performed on Inertsil TM ODS-3 column with mobile phase consisted of acetonitrile (A)-0.1% formic acid solution (B)in the form of gradient elution;the flow rate was 1.0 mL/min,the detection wavelength was 280 nm,the column temperature was 25 ℃,and the sample size was 5 µL. Similarity Evaluation System of Chromatogram Fingerprint of TCM (2012 edition)was used for establishing the HPLC fingerprints of 10 batches of L. japonicus granules and analyzing their similarities. By comparing with HPLC fingerprints of reference substance ,the common peaks were identified. SPSS 25.0 and SIMCA 13.0 software were used for cluster analysis and principal component analysis ;the above HPLC method was used for the content determination of 4 index components in L. japonicus granules such as leonurine hydrochloride ,ferulic acid ,rutin,hyperoside. RESULTS HPLC fingerprints of 10 batches of L. japonicus granules were established ,and 16 common peaks were matched ,and 4 peaks identified were leonurine hydrochloride (peak 6),ferulic acid (peak 13),rutin(peak 14),hyperoside(peak 16);the similarities of 10 batches of samples were all higher than 0.970. The 10 batches of samples could be divided into four categories by cluster analysis and principal component analysis;the classification results were consistent. The contents of leonurine hydrochloride ,ferulic acid ,rutin and hyperoside were 122.10-138.82 μ g/g,9.33-10.45 μ g/g,14.12-18.95 μ g/g,5.87-8.06 μ g/g,respectively. CONCLUSIONS Established HPLC fingerprint of L. japonicus granules and the method for the content determination of 4 index components are simple and easy to operate,and have high precision and good repeatability ,which provide reference for the quality evaluation of L. japonicus granules.

China Pharmacy ; (12): 452-457, 2022.
Article in Chinese | WPRIM | ID: wpr-920462


OBJECTIVE To establish the fing erprint of Temurin- 5 powder,conduct chemical pattern recognition analysis ,and determine the contents of 4 components simultaneously. METHODS The fingerprints of 10 batches of Temurin- 5 powder were established and similarity evaluation was performed by using high performance liquid chromatography (HPLC)combined with the Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine (2012 edition);common peaks were identified by comparing with mixed substance control. The common peaks were analyzed by systematic cluster analysis and principal component analysis with SPSS 26.0 software. The HPLC method was used to determine the contents of gallic acid , geniposide,chlorogenic acid and ellagic acid in 10 batches of samples. RESULTS A total of 15 common peaks were identified from the fingerprints of 10 batches of Temurin-5 powder,and the similarity was 0.997-0.999. It was identified that peak 1 was gallic acid ,peak 3 was geniposide ,peak 5 was chlorogenic acid and peak 12 was ellagic acid. Among the 10 batches of samples , S4 and S 9 were grouped into one category ,S6-S8 were grouped into one category ,and the other batches of samples were grouped into one category. The accumulative variance contribution rate of first three principal components was 89.245%. The linear ranges of gallic acid ,geniposide,chlorogenic acid and ellagic acid were 5.55-177.5,15.98-511.5,2.56-82.0 and 13.48-431.5 μg/mL, respectively. RSDs of precision ,stability(24 h)and repeatability tests were all less than 2%(n=6 or n=7). The average recoveries were 101.56%,102.21%,98.60% and 96.62%,respectively,RSDs were 1.90%,1.61%,1.58% and 1.73%(n=6). Average contents of above components were 5.03-5.64,10.38-12.16,1.40-1.69,6.47-7.11 mg/g,respectively. CONCLUSIONS The established fingerprint is stable and feasible ,and the content determination method meets the relevant regulations. Combined with chemical pattern recognition analysis ,it can be used for the quality control of Temurin- 5 powder.

China Pharmacy ; (12): 439-451, 2022.
Article in Chinese | WPRIM | ID: wpr-920460


OBJECTIVE To establish the fingerprint of Zhuang medicine Jinmu granules and carry out chemometric analysis , and determine the contents of three components . METHODS High performance liquid chromatography (HPLC) method was adopted. Using rutin as the reference ,HPLC fingerprints of 10 batches of Jinmu granules were drawn and similarity evaluation was performed by Similarity Evaluation of Chromatographic Fingerprint of Traditional Chinese Medicine (2012 edition);the common peak was determined by comparing with mixed control ;SPSS 21.0 software was used for cluster analysis ,and SIMCA 14.1 software was used for principal component analysis and orthogonal partial least squares-discriminant analysis. The differential components affecting the quality of Jinmu granules were screened by taking the variable importance in projection (VIP)value >1 as the standard ;the HPLC method was used to determine the contents of astilbin ,polydatin and berberine hydrochloride in Jinmu granules. RESULTS There were 22 common peaks in 10 batches of Jinmu granules ,and the similarities were 0.962-0.997;five common peaks were identified ,namely gallic acid (peak 2),polydatin(peak 9),rutin(peak 11),astilbin(peak 13)and kaempferol (peak 20). The results of cluster analysis showed that 10 batches of Jinmu granules could be clustered into 3 categories:S1 and S 3-S4 were grouped into one category ;S5-S6 and S 9 were grouped into one category ;S2,S7-S8 and S 10 were grouped into one category. The results of principal component analysis showed that the parameter of model interpretation was 0.951 and that of prediction ability was 0.723. The classification results were basically consistent with cluster analysis. The classifica tion results of orthogonal partial least squares- com discriminant analysis were also ba sically consistent with clus- ter analysis. The common peaks with VIP value >1 in the order were peak 7>peak 11(rutin)>peak 17>peak 13(astilbin)> peak 3>peak 8>peak 6>peak 16 respectively. The linear ranges of astilbin ,polydatin and berberine hydrochloride were 0.012 6- 1.225 0,0.010 8-1.052 5 and 0.020 0-1.562 5 mg/mL,respectively(all R 2=0.999 9). RSDs of precision ,stability(24 h)and repeatability tests were all less than 3%. The average recoveries were 99.48%(RSD=2.67%,n=9),98.57%(RSD=1.77%,n= 9)and 100.84%(RSD=2.49%,n=9). The contents were 1.221 0-7.011 6,2.251 1-4.462 9,1.252 4-3.328 7 mg/g,respectively. CONCLUSIONS Established fingerprint and the method of content determination are accurate ,stable and simple. Combined with chemometric analysis ,it can be used for the quality control and evaluation of Zhuang medicine Jinmu granules.

China Pharmacy ; (12): 153-159, 2022.
Article in Chinese | WPRIM | ID: wpr-913104


OBJECTIVE To establish the infrared fingerprints of Achyranthes bidentata from different producing areas ,and to conduct multivariate statistical analysis. METHODS The infrared fingerprints of 61 batches of A. bidentata samples were established by Spectrum for Window 3.02 and OMNIC 9.2 software. Taking the relative peak height of common peaks of infrared fingerprint as the variable ,the normal distribution analysis was carried out by Excel 2016 software;SPSS 22.0 software was used for cluster analysis and principal component analysis ,and the comprehensive score was calculated ;the orthogonal partial least squares-discriminant analysis was carried out by SIMCA 14.1 software,and the marker wave numbers affecting the quality of A. bidentata were screened by taking the variable importance in projection (VIP)>1 as the standard. RESULTS The correlation coefficients of infrared spectra of 61 batches of A. bidentata samples were 0.967 2-0.997 7;there were 13 common peaks. The results of normal distribution analysis showed that the normal distribution curve of relative peak height of common peaks for A. bidentata from Henan and Hebei did not cross ,and the normal distribution curve of A. bidentata from Henan and Inner Mongolia crossed. The results of cluster analysis showed that when the distance between groups was 15,61 batches of A. bidentata samples could be clustered into 3 categories,including N 1-N12 were clustered into one category ,N13-N45 were clustered into one category,and N 46-N61 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 91.121%;comprehensive score of A. bidentata (number N 40) in Jiabu village ,Jiaozuo City , Henan Province was the highest (2.39), and that of A.bidentata(number N 4)in Xin ’an village ,Anguo City ,Hebei Province was the lowest (-2.89). The results of orthogonal partial least squares-discriminant analysis showed that 61 batches of A. bidentata samples were divided into three categories ,including N 1-N12 were clustered into one category ,N13-N28 were clustered into one category and N 29-N61 were clustered into one category. Seven marker wave numbers affecting the quality were selected. The corresponding wave numbers of VIP from large to small were 1 059,927,2 933,813,1 732,1 128 and 3 367 cm-1,1 732 cm-1 was the characteristic obsorption peak of saponins ,1 059,1 128,927 cm-1 were the characteristic obsorption peaks of glycosides. CONCLUSIONS Infrared fingerprint combined with normal distribution analysis ,cluster analysis ,principal component analysis and orthogonal partial least squares-discriminant analysis can be used to identify A. bidentata from different producing areas.

China Pharmacy ; (12): 319-325, 2022.
Article in Chinese | WPRIM | ID: wpr-913090


OBJECTIVE To establish the HPLC fingerprint of Mongolian medicine Sanzisan ,and to evaluate its internal quality by chemical pattern recognition technique comprehensively. METHODS HPLC method was used. Using geniposide as reference,HPLC fingerprints of 15 batches of Sanzisan were drawn with Similarity Evaluation System of TCM Chromatogram Fingerprint(2012 edition). Similarity evaluation and common peaks identification were conducted. Combined with cluster analysis (CA),principal component analysis (PCA),and orthogonal partial least squares-discriminant analysis (OPLS-DA),the quality of 15 batches of Sanzisan was evaluated ,and the differential markers that affected its quality were screened. RESULTS There were 29 common peaks in 15 batches of Sanzisan ,and the similarity was no less than 0.952,indicating that the chemical composition of the 15 batches of Sanzisan had good consistency. A total of 13 common peaks were identified ,which were chebulic acid ,gallic acid,punicalin,punicalagin A ,punicalagin B ,jasminoside B ,caffeic acid ,corilagin,geniposide,chebulagic acid ,1,2,3,4,6- O-galloylglucose,chebulinic acid ,ellagic acid. Both CA and PCA could divide 15 batches of Sanzisan into four categories ,and the classification results were consistent ,indicating that the quality of 15 batches of Sanzisan had certain differences. Fourteen differential markers (chebulic acid ,gallic acid ,ellagic acid ,etc)that lead to the quality difference between batches were screened out by OPLS-DA. CONCLUSIONS Established HPLC fingerprint analysis method is simple and stable. Combined with chemical pattern recognition analysis ,it can be used for the quality control of Sanzisan.

Chinese Journal of School Health ; (12): 455-458, 2022.
Article in Chinese | WPRIM | ID: wpr-923151


Objective@#To analyze the current situation and research update on campus air quality in China, and to provide reference for effective campus environment improvement.@*Methods@#The documents of China national knowledge internet (CNKI) from 1980 to 2020 were extracted and the key words related to campus air quality were analyzed by CiteSpace software. Microorganisms, formaldehyde and benzene were selected, data of 200 literatures were classified and sorted out in different functional areas.@*Results@#Studies on campus air quality in China has been increasing gradually since 2004, especially focusing on indoor air, PM 2.5 and benzene series. The primary microorganism in the air environment of Chinese campuses was bacteria with the concentration of 2 309.31 cfu/m 3 . The ranking of the overall load of bacteria in air of different functional areas was consistent with that of microorganisms: living service area > landscape leisure area > public transport area > scientific research and teaching area > administrative office area > sports activity area. The average value of microbial indicators in indoor air of computer room, office area and campus living areas were more likely exceed the standard. The formaldehyde concentration in the computer room and reading room was high. The health of students exposed to formaldehyde and benzene on campus evaluated by using the evaluation model of the U.S. Environmental Protection Agency proved out to be in the safe range.@*Conclusion@#The concentrations of microorganisms, formaldehyde and benzene in campus environment mostly meet the requirements. Further measures need to be taken to reduce microbial concentration and strengthen formaldehyde monitoring and pollution source management in computer room and reading room.

Rev. bras. estud. popul ; 39: e0190, 2022. tab, graf
Article in Spanish | LILACS | ID: biblio-1365653


Los objetivos de este estudio son descubrir la conformación de conglomerados espaciotemporales de los suicidios, homicidios y muertes por lesiones de intención no determinada (MLIND) en Argentina, durante el período 1994-2014, y analizar la asociación espaciotemporal entre conglomerados de suicidios u homicidios y conglomerados de MLIND en Argentina durante el mismo período. Las unidades espaciales fueron los departamentos de Argentina. Se hizo un rastreo estadístico espaciotemporal para la detección de conglomerados por sexo y grupos de edad (10 a 29, 30 a 59 y 60 o más años). Se utilizaron dos modelos espaciotemporales: multinomial y Bernoulli. La emergencia de conglomerados de homicidios en hombres estuvo más asociada a caídas más abruptas en los niveles de empleo, entre 1991 y 2001, en comparación a los suicidios. Las áreas con densidades poblacionales altas y porcentajes más altos de necesidades básicas insatisfechas (NBI) tendieron a estar incluidas en conglomerados de homicidio en hombres en comparación a los suicidios. Hubo un mayor solapamiento espaciotemporal entre MLIND y homicidios. Los resultados obtenidos apoyan las hipótesis de 1) una diferenciación geográfica entre homicidios y suicidios en tiempos de crisis económica y 2) la representación mayoritaria de MLIND en homicidios ocultos.

Os objetivos deste estudo são: conhecer a conformação dos conglomerados espaço-temporais de suicídios, homicídios e óbitos por lesões por intenção indeterminada (MLIND) na Argentina, durante o período 1994-2014; e analisar a associação espaço-temporal entre grupos de suicídio ou homicídio e grupos de MLIND, na Argentina no mesmo período. As unidades espaciais foram os departamentos da Argentina. Uma varredura estatística espaço-temporal foi realizada para detectar clusters por sexo e grupos de idade (10-29, 30-59 e 60 anos ou mais). Dois modelos espaço-temporais foram usados: multinomial e Bernoulli. O surgimento de conglomerados de homicídios em homens esteve mais associado a reduções mais acentuadas nos níveis de emprego, entre 1991 e 2001, em comparação com os suicídios. Áreas com altas densidades populacionais e maiores percentuais de necessidades básicas insatisfeitas (indicador de pobreza) tenderam a ser incluídas em conglomerados de homicídio em homens, em comparação com suicídios. Houve uma maior sobreposição espaço-temporal entre MLIND e homicídios. Os resultados obtidos suportam as hipóteses de uma diferenciação geográfica entre homicídios e suicídios em tempos de crise económica e que os MLINDs representariam principalmente homicídios ocultos.

The objectives of this study are to discover the conformation of spatio-temporal clusters of suicides, homicides and deaths due to injuries of undetermined intention (MLIND) in Argentina, during the period 1994-2014, and to analyze the spatio-temporal association between suicide or homicide clusters and MLIND clusters in Argentina during the same period. The spatial units were the departments of Argentina. Space-time scan statistics were performed to detect clusters by sex and age groups (10-29 years, 30-59 years and 60 or more years). Two space-time models were used: multinomial and Bernoulli. The emergence of homicide clusters in men was more associated with steeper drops in employment levels, between 1991 and 2001, compared to suicide clusters. Areas with the highest population density and with the highest percentage of Unsatisfied Basic Needs (poverty indicator) were more likely to be included in clusters with high proportions of homicide in men, compared to suicide. There was a greater spatio-temporal overlap between MLIND and homicides. The results obtained support the hypotheses of (1) a geographical differentiation between homicides and suicides in times of economic crisis; and (2) MLIND would represent mostly hidden homicides.

Humans , Argentina , Suicide , Cluster Analysis , Space-Time Clustering , Homicide , Binomial Distribution , Sex Distribution , Age Groups
Esc. Anna Nery Rev. Enferm ; 26: e20210194, 2022. tab, graf
Article in Portuguese | LILACS, BDENF | ID: biblio-1356216


Resumo Objetivo analisar o perfil sociodemográfico, laboral e a intensidade das cargas de trabalho de trabalhadores da enfermagem de hospitais universitários. Método quantitativo e transversal, com 361 trabalhadores de enfermagem, entre novembro de 2019 e fevereiro de 2020, por meio da Escala de Cargas de Trabalho nas Atividades de Enfermagem. Realizou-se análise de cluster. Resultados formaram-se quatro clusters com trabalhadores do sexo feminino (2, 3 e 4) e sexo masculino (1). A exposição às cargas de trabalho foi identificada como intensa (1, 2 e 3) e pouco intensa (4). As unidades de trabalho evidenciadas com mais frequência nos clusters 1, 2 e 3 foram a Rede de Urgência e Emergência, Pediátrica e Clínica Médica, e no cluster 4, a Maternidade e Clínica Cirúrgica. Os clusters 1 e 3 identificaram com mais frequência o período de trabalho de 1 a 5 anos, no cluster 2, foi de 15 a 20 anos, e no cluster 4, inferior a um ano. Conclusão e implicações para a prática a identificação dos quatro clusters possibilitou a análise do perfil de trabalhadores de enfermagem, permitindo o planejamento de intervenções direcionadas a minimizar as cargas de trabalho de acordo com as particularidades de cada grupo.

Resumen Objetivo analizar el perfil sociodemográfico, laboral y la intensidad de las cargas de trabajo de trabajadores de enfermería de hospitales universitarios. Método cuantitativo y transversal con 361 trabajadores de enfermería, entre noviembre de 2019 y febrero de 2020, por medio de la Escala de Cargas de Trabajo en las Actividades de Enfermería. Se realizó el análisis de cluster. Resultados se formaron cuatro clusters, con trabajadores del sexo femenino (2, 3 y 4) y sexo masculino (1), la exposición a las cargas de trabajo fue identificada como intensa (1, 2 y 3) y poco intensa (4). Las unidades de trabajo evidenciadas con más frecuencia en los clusters 1, 2 y 3 fueron la Unidad de Cuidados de Emergencia y Urgencia, Pediatría y Clínica Médica y en el cluster 4, los Servicios de Maternidad y de Clínica Quirúrgica. Los clusters 1 y 3 identificaron con más frecuencia el período de trabajo de 1 a 5 años, en el cluster 2 fue de 15 a 20 años y en el cluster 4, inferior a un año. Conclusión e implicaciones para la práctica la identificación de los cuatro clusters posibilitó el análisis del perfil de los trabajadores de enfermería, permitiendo la planificación de intervenciones dirigidas a minimizar las cargas de trabajo de acuerdo con las particularidades de cada grupo.

Abstract Objective to analyze the sociodemographic and occupational profile and intensity of workloads among nursing professionals working in university hospitals. Method This quantitative and cross-sectional study addressed 361 nursing workers from November 2019 to February 2020, using the Escala de Cargas de Trabalho nas Atividades de Enfermagem and cluster analysis. Results Four clusters were identified: with female workers (2, 3, and 4) and male workers (1). Exposure to workload was reported to be intense (1, 2, and 3) and a little intense (4). The work units most frequently identified in clusters 1, 2, and 3 were the Emergency and Urgent Care Unit, Pediatrics, and Medical Clinic, whereas Maternity Services and Surgical Clinics were the units most frequently identified in cluster 4. Most workers in clusters 1 and 3 had from 1 to 5 years of experience, cluster 2 from 15 to 20 years, and the workers in cluster 4 had less than one year of work experience. Conclusion and implications for practice the identification of four clusters enabled analyzing the profile of the nursing workers, which favors the planning of interventions intended to minimize workloads according to the specificities of each group.

Humans , Male , Female , Adult , Working Conditions , Workload , Licensed Practical Nurses , Hospitals, University , Nurses , Nursing Assistants , Cluster Analysis , Cross-Sectional Studies , Interprofessional Relations
Rev. adm. pública (Online) ; 55(4): 757-781, jul.-ago. 2021. graf
Article in Portuguese | LILACS | ID: biblio-1340886


Resumo O objetivo principal do presente trabalho é verificar como evoluiu o padrão remuneratório das diferentes carreiras com nível superior dentro do Poder Executivo Federal ao longo do período de 1998 a 2015. A justificativa para se estudar esses diferenciais salariais é que, nos últimos anos, se verificou um aumento substancial dos salários do funcionalismo público brasileiro. No entanto, os resultados obtidos pela técnica de análise de agrupamento sugerem que existe um padrão de maior valorização das carreiras chamadas típicas de Estado, em detrimento de outras. Isso revela um padrão de apreciação de salários dentro do Poder Executivo e, principalmente, um conflito distributivo interno, em que aquelas carreiras mais próximas do poder central e com as características de "típicas de Estado" foram sendo gradativamente beneficiadas, estabelecendo uma grande mudança no padrão remuneratório relativo ao longo do período analisado.

Resumen El objetivo principal del presente trabajo es verificar cómo ha evolucionado el patrón retributivo de las distintas carreras con educación superior dentro del Poder Ejecutivo federal durante el período de 1998 a 2015. La justificación para estudiar estos diferenciales salariales es que, en los últimos años, se ha verificado un aumento sustancial de los salarios de los funcionarios públicos brasileños. Sin embargo, los resultados obtenidos por la técnica de análisis de conglomerados sugieren que existe un patrón de mayor apreciación de las carreras denominadas típicas del Estado, en detrimento de otras. Esto revela un patrón de apreciación salarial al interior del Poder Ejecutivo y, principalmente, un conflicto distributivo interno, en que las carreras más cercanas al poder central y con las características de "típicas del Estado" fueron paulatinamente beneficiadas, estableciendo un cambio importante en el patrón de remuneración relativa durante el período analizado.

Abstract This paper verifies the evolution of the remuneration pattern of different higher-level careers within the Brazilian federal executive branch from 1998 to 2015. In recent years, the differences in remuneration have substantially increased in the Brazilian civil service. However, the results obtained through cluster analysis suggest a pattern of greater pay raise for "typical state careers" to the detriment of others. This reveals a pattern of salary appreciation within the executive branch and, especially, an internal distributive conflict, in which those careers closer to the central power and with characteristics of "typical state careers" were gradually benefiting, establishing a major change in the relative remuneration pattern among different careers over the studied period.

Humans , Male , Female , Salaries and Fringe Benefits , Public Administration , Career Mobility , Cluster Analysis , Public Sector , Executive
Rev. bras. ter. intensiva ; 33(2): 196-205, abr.-jun. 2021. tab, graf
Article in English, Portuguese | LILACS | ID: biblio-1289074


RESUMO Objetivo: Identificar apresentações mais graves de COVID-19. Métodos: Pacientes consecutivamente admitidos à unidade de terapia intensiva foram submetidos à análise de clusters por meio de método de explorações sequenciais Resultados: Analisamos os dados de 147 pacientes, com média de idade de 56 ± 16 anos e Simplified Acute Physiological Score 3 de 72 ± 18, dos quais 103 (70%) demandaram ventilação mecânica e 46 (31%) morreram na unidade de terapia intensiva. A partir do algoritmo de análise de clusters, identificaram-se dois grupos bem definidos, com base na frequência cardíaca máxima [Grupo A: 104 (IC95% 99 - 109) batimentos por minuto versus Grupo B: 159 (IC95% 155 - 163) batimentos por minuto], frequência respiratória máxima [Grupo A: 33 (IC95% 31 - 35) respirações por minuto versus Grupo B: 50 (IC95% 47 - 53) respirações por minuto] e na temperatura corpórea máxima [Grupo A: 37,4 (IC95% 37,1 - 37,7)ºC versus Grupo B: 39,3 (IC95% 39,1 - 39,5)ºC] durante o tempo de permanência na unidade de terapia intensiva, assim como a proporção entre a pressão parcial de oxigênio no sangue e a fração inspirada de oxigênio quando da admissão à unidade de terapia intensiva [Grupo A: 116 (IC95% 99 - 133) mmHg versus Grupo B: 78 (IC95% 63 - 93) mmHg]. Os subfenótipos foram distintos em termos de perfis inflamatórios, disfunções orgânicas, terapias de suporte, tempo de permanência na unidade de terapia intensiva e mortalidade na unidade de terapia intensiva (com proporção de 4,2 entre os grupos). Conclusão: Nossos achados, baseados em dados clínicos universalmente disponíveis, revelaram dois subfenótipos distintos, com diferentes evoluções de doença. Estes resultados podem ajudar os profissionais de saúde na alocação de recursos e seleção de pacientes para teste de novas terapias.

Abstract Objective: To identify more severe COVID-19 presentations. Methods: Consecutive intensive care unit-admitted patients were subjected to a stepwise clustering method. Results: Data from 147 patients who were on average 56 ± 16 years old with a Simplified Acute Physiological Score 3 of 72 ± 18, of which 103 (70%) needed mechanical ventilation and 46 (31%) died in the intensive care unit, were analyzed. From the clustering algorithm, two well-defined groups were found based on maximal heart rate [Cluster A: 104 (95%CI 99 - 109) beats per minute versus Cluster B: 159 (95%CI 155 - 163) beats per minute], maximal respiratory rate [Cluster A: 33 (95%CI 31 - 35) breaths per minute versus Cluster B: 50 (95%CI 47 - 53) breaths per minute], and maximal body temperature [Cluster A: 37.4 (95%CI 37.1 - 37.7)°C versus Cluster B: 39.3 (95%CI 39.1 - 39.5)°C] during the intensive care unit stay, as well as the oxygen partial pressure in the blood over the oxygen inspiratory fraction at intensive care unit admission [Cluster A: 116 (95%CI 99 - 133) mmHg versus Cluster B: 78 (95%CI 63 - 93) mmHg]. Subphenotypes were distinct in inflammation profiles, organ dysfunction, organ support, intensive care unit length of stay, and intensive care unit mortality (with a ratio of 4.2 between the groups). Conclusion: Our findings, based on common clinical data, revealed two distinct subphenotypes with different disease courses. These results could help health professionals allocate resources and select patients for testing novel therapies.

Humans , Male , Female , Adult , Middle Aged , Aged , Respiration, Artificial/statistics & numerical data , Critical Illness/therapy , Critical Care/methods , COVID-19/physiopathology , Intensive Care Units , Phenotype , Severity of Illness Index , Algorithms , Cluster Analysis , Retrospective Studies , Patient Selection , Respiratory Rate/physiology , COVID-19/mortality , COVID-19/therapy , Length of Stay
Rev. habanera cienc. méd ; 20(1): e3441, ene.-feb. 2021. tab, graf
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1156692


RESUMEN Introducción: La situación actual dada por la COVID-19 no solamente ha afectado la economía y la salud de muchos países sino también ha ocasionado un sinnúmero de problemáticas en la salud mental de la población en general. Por lo cual, es menester el compromiso y la investigación por parte de profesionales de las Ciencias Sociales y la Psicología. Objetivo: Estructurar un método de análisis para valorar y tipificar perfiles psicométricos de salud mental positiva en población colombiana en situación de confinamiento por la COVID-19. Material y Métodos: Se revisó la literatura relacionada con salud mental positiva y la técnica multivariada de análisis de conglomerados; se tomó una muestra de 270 hombres y mujeres con edades comprendidas entre 18 y 75 años, a los que se les aplicó la escala de Salud Mental Positiva, propuesta por Lluch, relacionada con los factores satisfacción personal, actitud prosocial, autocontrol, autonomía, resolución de problemas y autoactualización, y habilidades de relaciones interpersonales; se aplicó la técnica multivariada de análisis de conglomerados para establecer los perfiles psicométricos de Salud Mental Positiva. Resultados: Muestran 4 perfiles que tipifican la Salud Mental Positiva en confinamiento, fueron valorados el perfil 1 con un promedio de 2,05 y el perfil 2 con 2,69, situándose en una clasificación media, mientras que el perfil 3 con un promedio de 3,13 y el perfil 4 con un promedio de 3,32, se sitúan en una clasificación alta de salud mental positiva. Conclusiones: El método de análisis propuesto es significativo para valorar y tipificar perfiles psicométricos de Salud Mental Positiva en situación de confinamiento por la COVID-19.

ABSTRACT Introduction: The current situation given by the COVID-19 has not only affected the economy and health of many countries, but has also caused a number of problems in the mental health of the general population. Therefore, the commitment and research among professionals in the social sciences and psychology is necessary. Objective: To structure a method of analysis to evaluate and typify psychometric profiles of positive mental health in the Colombian population in a situation of confinement by COVID-19. Material and Methods: We reviewed the literature related to positive mental health and the multivariate technique of cluster analysis. We took a sample of 270 men and women between the ages of 18 and 75, to whom we applied the Positive Mental Health Scale proposed by Lluch related to the factors of personal satisfaction, prosocial attitude, self-control, autonomy, problem solving and self-updating, and interpersonal relationship skills. We applied the multivariate technique of cluster analysis to establish the psychometric profiles of positive mental health. Results: Four profiles that typify positive mental health in confinement were shown, with profile 1 being rated with an average of 2.05 and profile 2 with 2.69 being in a medium rating, while profile 3 with an average of 3.13 and profile 4 with an average of 3.32 being in a high rating of positive mental health. Conclusions: The proposed method of analysis is significant to evaluate and typify psychometric profiles of positive mental health in confinement by COVID-19.

Rev. panam. salud pública ; 45: e49, 2021. tab, graf
Article in Spanish | LILACS | ID: biblio-1252005


RESUMEN Objetivo. Determinar y caracterizar áreas de riesgo potencial de la ocurrencia de leishmaniasis cutánea (LC) en América Latina (AL). Método. Estudio observacional ecológico con unidades de observación definidas por municipios con transmisión de LC entre 2014-2018. Se utilizaron variables medioambientales y socioeconómicas disponibles para al menos 85% de los municipios, combinados en una sola base de datos, a través del software R. Se combinó la metodología de análisis de componentes principales con un análisis de conglomerados jerárquicos para la formación de conglomerados de municipios en función de su similitud. Se estimó el V-test para definir la asociación positiva o negativa de las variables con los conglomerados y separación por divisiones naturales para determinar cuáles contribuyeron más a cada conglomerado. Se incorporaron los casos para atribuir el riesgo de LC para cada conglomerado. Resultados. Se incluyeron en el estudio 4 951 municipios con transmisión de LC (36,5% del total en AL) y se definieron siete conglomerados por su asociación con 18 variables medioambientales y socioeconómicas. El riesgo histórico de LC se asocia de manera positiva y en forma decreciente con los conglomerados Amazónico, Andino y Sabana; y de manera negativa con los conglomerados Boscoso/perenne, Boscoso/cultivo y Boscoso/poblado. El conglomerado Agrícola no reveló ninguna asociación con los casos de LC. Conclusiones. El estudio permitió identificar y caracterizar el riesgo de LC por conglomerados de municipios y conocer el patrón propio epidemiológico de distribución de la transmisión, lo que proporciona a los gestores una mejor información para las intervenciones intersectoriales para el control de la LC.

ABSTRACT Objective. Determine and characterize areas at potential risk for the occurrence of cutaneous leishmaniasis (CL) in Latin America. Method. Ecological observational study with observation units defined by municipalities with CL transmission during 2014-2018. Environmental and socioeconomic variables available for at least 85% of municipalities were combined in a single database, using R software. Principal component analysis was combined with hierarchical cluster analysis for the formation of clusters of municipalities according to their similarity. The V-test was used to define positive or negative association of variables with clusters and separation by natural divisions to determine which contributed more to each cluster. Cases were included to attribute CL risk for each cluster. Results. The study included 4 951 municipalities with CL transmission (36.5% of municipalities in Latin America); seven clusters were defined by their association with 18 environmental and socioeconomic variables. Historical risk of CL is associated positively and in descending order with the Amazonian, Andean, and Savanna clusters; and negatively with the Forest/perennial, Forest/cultivated, and Forest/populated clusters. The Agricultural cluster showed no association with CL cases. Conclusions. The study made it possible to identify and characterize CL risk by clusters of municipalities and to understand the characteristic epidemiological distribution patterns of transmission, providing program managers with better information for intersectoral interventions to control CL.

RESUMO Objetivo. Determinar e caracterizar as áreas de risco de ocorrência de leishmaniose cutânea na América Latina. Método. Estudo observacional ecológico com unidades de observação definidas por municípios com transmissão de leishmaniose cutânea entre 2014 e 2018. Foram usadas as variáveis ambientais e socioeconômicas disponíveis em 85% ou mais dos municípios, reunidas em uma única base de dados com o uso do software R. A metodologia de análise de componentes principais foi combinada a uma análise de conglomerados com agrupamento hierárquico para formar conglomerados de municípios por semelhança. O teste V foi usado para estabelecer a associação (positiva ou negativa) das variáveis com os conglomerados e uma separação por divisões naturais foi usada para determinar as variáveis que mais contribuíram em cada conglomerado. Os casos foram incluídos para avaliar o risco de leishmaniose cutânea em cada conglomerado. Resultados. A amostra do estudo compreendeu 4.951 municípios com transmissão de leishmaniose cutânea (36,5% do total na América Latina). Foram definidos sete conglomerados por apresentarem associação com 18 variáveis ambientais e socioeconômicas. Foi observada associação positiva e decrescente do risco histórico de leishmaniose cutânea com os conglomerados Amazônico, Andino e Savana e negativa com os conglomerados Mata/perene, Mata/cultivo e Mata/povoado. O conglomerado Agrícola não demonstrou associação com casos de leishmaniose cutânea. Conclusões. Este estudo permitiu identificar e caracterizar o risco de leishmaniose cutânea por conglomerados de municípios e conhecer o padrão epidemiológico de distribuição da transmissão da doença, oferecendo às autoridades dados melhores para subsidiar as intervenções intersetoriais para o controle da leishmaniose cutânea.

Humans , Leishmaniasis, Cutaneous/epidemiology , Socioeconomic Factors , Cluster Analysis , Risk Assessment , Latin America/epidemiology
Ciênc. rural (Online) ; 51(7): e20200124, 2021. graf
Article in English | LILACS-Express | LILACSEXPRESS, LILACS, VETINDEX | ID: biblio-1286029


ABSTRACT: Traditional Villages (TVs) are typical and representative of the agricultural civilization in millions of Chinese villages. The distribution of TVs shows spatial heterogeneity, based on the complexity and diversity of several influencing factors. In this study, 6,819 Chinese TVs were identified and the influencing factors that affect their distribution were screened in terms of three indicator groups: climatic, geographic, and humanity-related factors. Additionally, the K-means clustering algorithm clustered the TVs into different distribution regions. The quantitative relationships between the dominant influencing factors of different distribution regions were revealed to ensure a lucid understanding of the regional distribution of TVs. The results indicated that 1) climatic factors have the greatest impact on the spatial distribution of TVs, followed by geographic factors, particularly the elevation, and then by human factors, of which ethnic distribution played a relatively important role. 2) Twenty-one TV clustering distributions were obtained, which were classified into eight regions of TV distribution with different dominant influencing factors. Management and protective strategies were formulated based on the attribute analysis of influencing factors in each region. The obtained results delineated homogeneous TV distribution regions via the clustering method to achieve an accurate statistical analysis of the influencing factors. This study proposes a new perspective and reference for managing and protecting the diversity, continuity, and integrity of TVs across administrative regions.

RESUMO: As aldeias tradicionais (TVs) são típicas e representativas da civilização agrícola em milhões de comunidades chinesas. A distribuição das TVs mostra heterogeneidade espacial, baseada na complexidade e diversidade de diversos fatores influenciadores. Neste estudo, 6.819 TVs chinesas foram identificadas e os fatores que influenciam sua distribuição foram analisados em termos de três grupos de indicadores: fatores climáticos, geográficos e relacionados à humanidade. Além disso, o algoritmo de agrupamento K-means agrupou as TVs em diferentes regiões de distribuição. As relações quantitativas entre os fatores de influência dominantes de diferentes regiões de distribuição foram reveladas para garantir uma compreensão lúcida da distribuição regional de TVs. Os resultados indicam que 1) os fatores climáticos têm maior impacto na distribuição espacial das TVs, seguidos dos geográficos, em particular da elevação, e depois dos humanos, nos quais a distribuição étnica teve um papel relativamente importante; 2) foram obtidas as vinte e uma distribuições de agrupamento de TV, as quais foram classificadas em oito regiões de distribuição de TV com diferentes fatores de influência dominante. Estratégias de manejo e proteção foram formuladas com base na análise de atributos dos fatores influenciadores de cada região. Os resultados obtidos delinearam regiões homogêneas de distribuição de TV por meio do método de agrupamento para obter uma análise estatística precisa dos fatores de influência. Este estudo propõe uma nova perspectiva e referência para a gestão e proteção da diversidade, continuidade e integridade das TVs nas regiões administrativas.

Article in Chinese | WPRIM | ID: wpr-912873


Objective: By sorting and analyzing pertinent modern studies targeting auricular point therapy treating primary insomnia (PI), to summarize the point selection rules and clinical efficacy of using auricular points alone or combining it with other therapies in treating PI. Methods: A search on China National Knowledge Infrastructure (CNKI), Wanfang Academic Journal Full-text Database (Wanfang), Chongqing VIP Database (CQVIP), PubMed, Springer and Ovid were conducted from January 1, 1998 till January 31, 2020. Point selection, diagnostic criteria and Pittsburgh sleep quality index (PSQI) in the eligible studies were analyzed and summarized. Results: The difference in PSQI before and after using auricular point therapy alone was more significant than that of using Chinese medication alone (P<0.05), but less significant than that of combining auricular point therapy and acupuncture-moxibustion and Chinese therapeutic massage (tuina) (P<0.05). In the included studies, Shenmen (TF4) was the most commonly used (370 times), followed by Heart (CO15), which was 344 times, and Subcortex (AT4), which was 325 times. In terms of auricular points distribution, points in the auricular concha were the most commonly used (1500 times), followed by those in the antitragus (474 times) and triangular fossa (387 times). Correlation analysis showed that Shenmen (TF4) and Liver (CO12), Sympathetic (AH6a) and Heart (CO15) were used together more often, followed by Shenmen (TF4), Liver (CO12), Spleen (CO13), Kidney (CO10) and Subcortex (AT4), and then Shenmen (TF4), Liver (CO12), Sympathetic (AH6a), Subcortex (AT4) and Heart (CO15). Cluster analysis showed that the auricular points used for PI can be divided into 6 clusters in 2 major groups. One group was Heart (CO15), Subcortex (AT4), Shenmen (TF4), Sympathetic (AH6a), Spleen (CO13), Kidney (CO10), Liver (CO12) and Endocrine (CO18); the other was Occiput (AT3), Stomach (CO4), Pancrease-gallbladder (CO11), Chuiqian (LO4), Small Intestine (CO6), Central Rim (AT2,3,4i) and Sanjiao (CO17). In terms of patterns in traditional Chinese medicine, the pattern of dual deficiency of heart and spleen accounted for the largest proportion in the studies of using auricular points alone or combining it with other treatments to treatment PI, and then it was the pattern of liver depression transforming into fire. Conclusion: In treatment of PI with auricular points alone or combo therapy involving auricular points, Shenmen (TF4) was commonly used, and the commonly used point group consisted of Shenmen (TF4), Liver (CO12), Sympathetic (AH6a) and Heart (CO15). Auricular point therapy can be taken as a complementary therapy in treating PI.

Article in Chinese | WPRIM | ID: wpr-912772


Objective:To analyze original medical humanities articles written by staff of the hospital and extract key elements of hospital culture for staff perception, for recommendations on homogenous development of multiple campuses of the hospital.Methods:Original medical humanities articles written by staff of the hospital were collected from the WeChat accounts, websites and printouts of a tertiary hospital in Beijing from January 2013 to December 2019, with text mining made by Python3.7; Bert and Tencent open-source 8 million Chinese word dataset were used as entity identification training dataset; K-Means cluster analysis was used to analyze and select cluster results of higher degree of fitting; TextRank was used to screen keywords of each clustered category. Significance of each category was summarized in the end based on keywords following the screening.Results:Among the 341 articles collected, high frequency words were work, hospital, patient, sick person, development, medicine, medical treatment, doctor, outpatient service and clinic. The words fell into ten categories: process recall, work attribute, work responsibility, diagnosis and treatment behavior, growth experience, team cooperation, professionalism, management innovation, doctor-patient communication and others.Conclusions:Research on hospital staff culture perception is conducive to identifying the cultural content of the hospital. In the homogenous development of multiple campuses of the hospital, it is imperative to nurture the staff′s sense of identify and belonging to the hospital, enhance their sense of gain and happiness, and strengthen the scientific management system centering on patients.

Article in Chinese | WPRIM | ID: wpr-910872


Objective:To analyze research status and development trends in the field of health management in China from 2011 to 2020.Methods:“CNKI” was chosen as the data source, and “health management(precise)” was used as the search term, and a total of 13, 686 valid data were finally obtained. Frequency counts were used to tabulate the number of articles published in the field of health management from 2011 to 2020. CiteSpace software was used to analyze the cooperation of institutions, and to explore the research hotspots and development trends in the field of health management by institutions co-occurrence, keyword co-occurrence and clustering timeline map. Bicomb software and SPSS 26.0 software were used for multi-dimensional scale analysis of keywords to comprehensively reflect the core degree and maturity of research topics.Results:The amount of domestic health management research literature had shown an increasing trend from 2011 (804) to 2020 (2 044). The top 5 keywords in terms of frequency were “hypertension(611)” “diabetes(577)” “health education(485)” “community(460)” and “chronic diseases(457)”. “Elderly” “Traditional Chinese Medicine(TCM health management)” and “Health management model” were the hot keywords and research trends of health management. There were 7 themes in the field of health management, namely “Construction and application of chronic diseases health management model” “Community health service and health management” “Health management in essential public health service” “Health management of the elderly” “Health management of Traditional Chinese Medicine” “Health examination and health management organization” “Health management based on big data and modern information technology”.Conclusions:A relatively close network of cooperation has been formed in the field of health management research and the number of articles has increased. The elderly, chronic disease and Traditional Chinese Medicine health management are the research trend. The construction and implementation of health management models, the integration of artificial intelligence and health management are the development trends in this field.

Article in Chinese | WPRIM | ID: wpr-908765


The fruits of leguminous plants Cercis Chinensis Bunge are still overlooked although they have been reported to be antioxidative because of the limited information on the phytochemicals of C.chinensis fruits.A simple,rapid and sensitive HPLC-MS/MS method was developed for the identification and quantitation of the major bioactive components in C.chinensis fruits.Eighteen polyphenols were iden-tified,which are first reported in C.chinensis fruits.Moreover,ten components were simultaneously quantified.The validated quantitative method was proved to be sensitive,reproducible and accurate.Then,it was applied to analyze batches of C.chinensis fruits from different phytomorph and areas.The principal components analysis (PCA) realized visualization and reduction of data set dimension while the hierarchical cluster analysis (HCA) indicated that the content of phenolic acids or all ten components might be used to differentiate C.chinensis fruits of different phytomorph.

Article in Chinese | WPRIM | ID: wpr-908150


Objective:To explore the research progress and hotspots of nurse-led care models in China, in order to provide references for further research.Methods:The Papers related to nurse-led care models included before 2019 were retrieved from Wanfang database and based on core nursing periodicals from Chinese S&T Journal Citation Reports(Natural Science)(2018 edition), used Bicomb2.0 for word frequency analysis of key words, then used SPSS22.0 for clustering analysis.Results:Totally 118 references and 33 high frequency keywords were retrieved. The number of literature about nurse-led showed a fluctuating upward trend. Researchers could get most of the information about nurse-led intervention mode from Journal of Nursing Science, Chinese Nursing Research and Chinese Nursing Management. By cluster analysis, the hotspots of nurse-led mainly involved critical illness, tumor, chronic disease, community rehabilitation and so on. Conclusions:The nurse-led model has been used in many kinds of diseases and has formed a certain scale, but there is still more room for development. Nursing experts from different regions should strengthen cooperation to improve the nurse-led intervention mode.

Article in Chinese | WPRIM | ID: wpr-907616


Objective:To explore the medication regularity of Traditional Chinese Medicine (TCM) for diabetic lower extremity arterial disease (DLEAD) based on data mining.Methods:Search for the clinical literature of treating DLEAD in recent 20 years from China Academic Journal Database (Wanfang Data), China National Knowledge Resources Database (CNKI), China Biomedical Literature Service System (SinoMed) and Chinese Science and Technology Journal Database (Chongqing VIP) dated. The frequency analysis, cluster analysis and association analysis for TCM were carried out respectively through Excel 2019, SPSS 25 and SPSS Modeler 18.Results:There are altogher 175 papers mentioning 201 prescriptions and 186 herbs, among which the top 5 herbs that are used frequently are Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma, Achyranthis Bidentatae Radix, Carthami Flos. The taste are mainly sweet and the nature is warm, with liver meridian as the most important maridian. The herbs for activating blood circulation and removing blood stasis are frequently used, followed by Qi tonic and blood tonic herbs. Association Rule Analysis suggested that Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma are the herbs that are frequently combined together. Conclusions:The medication for treating DLEAD mainly focuses on promoting blood circulation and removing blood stasis and tonifing Qi and blood. At the same time, the treatment should focus on dispelling wind and dispersing cold, warming yang and unblocking collaterals, resolving phlegm and removing dampness, nourishing yin and clearing heat based on different syndromes. Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma were the core herbs. It can be combined with Achyranthis Bidentatae Radix, Pheretma, Paeoniae Radix Rubra, Salviae miltiorrhizae Radix et Rhizoma, Peach Kernel, Carthami Flos to improve the curative effect.

China Pharmacy ; (12): 3008-3013, 2021.
Article in Chinese | WPRIM | ID: wpr-906782


OBJECTIVE:To establish the fingerprint of wine-processed Schisandra chinensis ,and to conduct cluster analysis and principal component analysis. METHODS :HPLC method was adopted. The determination was performed on Diamonsil C 18(2) column with mobile phased consisted of methanol-water (gradient elution )at the flow rate of 1 mL/min. The detection wavelength was set at 250 nm,and the column temperature was 30 ℃;the injection volume was 10 μL. With schisandrol A as the reference peak,HPLC fingerprints of 15 batches of samples were drawn and their similarity were evaluated with Similarity Evaluation System of TCM Chromatographic Fingerprint (2012 edition). The common peaks were determined. Cluster analysis and principal component analysis were performed by using SPSS 22.0 statistical software. RESULTS :There were 20 common peaks in 15 batches of samples ,and the similarities were 0.983-0.999;a total of 8 common peaks were identified ,namely 5-hydroxymethyl furfural,schisandrol A ,schisandrol B ,schisantherin A ,schisantherin B ,deoxyschizandrin,γ-schizandrin,pseudo-γ-schizandrin. The results of cluster analysis showed that 15 batches of wine-processed S. chinensis could be clustered into 4 categories. Among them,S1-S4 and S 14 were clustered into one category ,S9-S11 were clustered into one category ,S5,S7-S8,S12-S13 were clustered into one category ,and S 6 and S 15 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of first four principal component s was 85.381%;the classification results were basically consistent with the results of cluster analysis. Compared with S. chinensis ,5-hydroxymethyl furfural was newly found in S. chinensis after wine-processing ,with high content ;but there was no significant difference in the other chromatographic peaks. CONCLUSIONS:The established HPLC fingerprint is simple and easy to operate ,combined with cluster analysis and principal component analysis ,can be used for quality control of wine-processed S. chinensis decoction pieces.