Indice de comorbilidad específico para trasplante alogénico de células progenitoras hematopoyéticas: cohorte retrospectiva de niños y adolescentes con enfermedad maligna / Specific comorbidity index for allogeneic hematopoietic stem cell transplantation: a retrospective cohort of children and adolescents with malignancies

Introducción: Entre las variables que afectan el riesgo de mortalidad relacionada (MRT) al trasplante alogénico de células progenitoras hematopoyéticas (TACPH) se incluyen las comorbilidades previas. Los índices de comorbilidad (IC) buscan mejorar la predicción de eventos combinando factores de riesgo independientes. Objetivos: 1) evaluar el uso de la versión breve y adaptada para niños, adolescentes y adultos jóvenes con enfermedad maligna del índice de comorbilidad específico para trasplante alogénico de células progenitoras hematopoyéticas (smyHCT-CI ); 2) evaluar el uso de los biomarcadores ferritina y albúmina en un índice de comorbilidad ampliado (smyHCT-CIa). Población y métodos: Diseño: cohorte retrospectiva. Periodo 2017- 2022. A cada p se le asignó nuevos puntajes utilizando el smyHCT-CI y el smyHCT-CIa. Los p se clasificaron en grupos de riesgo (GR) bajo (puntaje 0), intermedio (1-2) y alto (>3) con cada índice. Se comparó el n° de p asignado a cada GR grupo de riesgo y la MRT en cada grupo al usar el HCT-CI, el smyHCTCI y el smyHCT-CIa. Resultados: n 75. Frecuencia de p por GR según cada indicador (IC95): HCT-CI bajo 36 (25-47), intermedio 57 (56-69), alto 7 (1-12); smyHCT-CI: bajo 48 (37-59), intermedio 33 (23-44), alto 19 (10-27); smyHCT-CIa: bajo 43 (31-54), intermedio 36 (25-47), alto 21 (12-31). MRT por GR según indicador (IC95): HCT-CI: bajo 6,8 (14-28), intermedio 20,9 (9-33), alto 17,9 (0-55); smyHCT-CIa bajo 12,5 (1-24), intermedio 18,5 (4-33), alto 31,2 (9-54). Conclusión: El smyHCT-CI permitió identificar mejor los pacientes con mayor comorbilidad y riesgo de MRT. La ferritina resultó un biomarcador útil en la estimación del riesgo de MRT (AU)

Introduction: Variables affecting allogeneic hematopoietic stem cell transplantation (HCT) related mortality risk (TMR) include prior comorbidities. Comorbidity indices (CI) aim to improve event prediction by combining independent risk factors. Objectives: 1) to evaluate the use of the brief and adapted version of the HCT-specific comorbidity index for children, adolescents and young adults with malignancies (ymHCT-CI); 2) to evaluate the use of the biomarkers ferritin and albumin in an expanded comorbidity index (expanded ymHCT-CI). Population and methods: Design: retrospective cohort. Period 2017- 2022. Each patient was assigned new scores using the ymHCTCI and expanded ymHCT-CI. The p were classified into low (score 0), intermediate (1-2) and high (>3) risk groups (RG) with each index. The number of patients assigned to each RG and the TMR in each group were compared using the HCTCI, the ymHCT-CI, and the expanded ymHCT-CI. Results: n 75. Frequency of patients per RG according to each indicator (95%CI): HCT-CI low 36 (25-47), intermediate 57 (56-69), high 7 (1-12); ymHCT-CI: low 48 (37-59), intermediate 33 (23-44), high 19 (10-27); expanded ymHCT-CI: low 43 (31-54), intermediate 36 (25-47), high 21 (12-31). TMR by RG according to indicator (95%CI): HCT-CI: low 6.8 (14-28), intermediate 20.9 (9-33), high 17.9 (0-55); expanded ymHCT-CI low 12.5 (1-24), intermediate 18.5 (4-33), high 31.2 (9-54). Conclusion: ymHCT-CI allowed better identification of patients with higher comorbidity and risk of TMR. Ferritin proved to be a useful biomarker to estimate TMR risk (AU)

A postoperative in-hospital mortality risk model for elderly patients undergoing cardiac valvular surgery based on LASSO-logistic regression / 中国胸心血管外科临床杂志

@#Objective     To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods     The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results     A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1 389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7 163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion     The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.

Analysis of the perinatal mortality rate in the metropolitan region of grande Vitória, Espírito Santo, Brazil, between 2008 and 2017

Introduction: perinatal mortality is characterized by fetal deaths that occur after the 22nd week of management and neonatal deaths that precede six full days of life. This indicator has been a matter of concern and discussion on the part of entities and organizations involved in comprehensive health care for women and children.Objective: to characterize perinatal deaths in the Metropolitan Region of Greater Vitória (RMGV) in Espírito Santo and identify associated maternal factors in the period between 2008 and 2017.Methods: ecological and descriptive study with a quantitative approach, carried out in 2019 on perinatal mortality from 2008 to 2017 at RMGV. Data collection was performed by extracting data from the SIM, SINASC, IBGE databases of the Espírito Santo State Health Department, about perinatal deaths and associated maternal factors. The research respects the ethical precepts of resolution 466/12 of the National Health Council.Results: the distribution of deaths did not occur homogeneously in the municipalities in the RMGV. The municipality of Vitória had the lowest perinatal mortality rates during the study period, on the other hand, in the comparative analysis between the different municipalities that make up the RMGV, the municipality of Fundão presents the worst scenario regarding perinatal mortality over the years. Regarding the underlying causes of death, it is noted that in this study, the three causes with the highest number of occurrences are complications of the placenta, umbilical cord and maternal affections, not necessarily related to the current pregnancy and intrauterine hypoxia.Conclusion: there were no significant changes in mortality rates in the Metropolitan Region of Greater Vitória. However, the main deaths occurred in neighborhoods with greater socioeconomic inequalities. Maternal causes were highly representative of deaths, raising issues associated with the improvement of public health policies.

Introdução: a mortalidade perinatal caracteriza-se pelos óbitos fetais que ocorrem a partir da 22ª semana de gestão e os óbitos neonatais que antecedem seis dias completos de vida. Este indicador tem sido motivo de preocupação e discussão por parte de entidades e organizações envolvidas na atenção à saúde integral da mulher e da criança. Objetivo: caracterizar os óbitos perinatais da Região Metropolitana da Grande Vitória (RMGV) no Espírito Santo e identificar fatores maternos associados, no período entre 2008 e 2017. Método: estudo ecológico e descritivo de abordagem quantitativa, realizado no ano de 2019 acerca da mortalidade perinatal entre os anos de 2008 a 2017 na RMGV. A coleta de dados foi realizada através extração dos dados das bases SIM, SINASC, IBGE da Secretaria de Saúde do Estado do Espírito Santo, acerca dos óbitos perinatais e fatores maternos associados. A pesquisa respeita os preceitos éticos da resolução 466/12 do Conselho Nacional de Saúde. Resultados: a distribuição dos óbitos não ocorreu de forma homogênea nos municípios na RMGV. O município de Vitória apresentou os menores índices de mortalidade perinatal durante o período estudado, em contrapartida, na análise comparativa entre os diferentes municípios que compõe a RMGV, o município de Fundão apresenta o pior cenário relativo à mortalidade perinatal ao longo dos anos. Acerca das causas bases de óbitos, nota-se que neste estudo, as três causas com maior número de ocorrência são complicações da placenta, do cordão umbilical e afecções maternas, não obrigatoriamente relacionadas com a gravidez atual e hipóxia intrauterina. Conclusão: não houve mudanças significativas nas taxas de mortalidade na Região Metropolitana da Grande Vitória. Contudo, os principais óbitos ocorreram em bairros com maiores desigualdades socieconomicas. As causas maternas representaram uma grande representatividade frente aos óbitos, levantando questões associadas a melhora de políticas públicas de saúde.

Fatores maternos e neonatais associados às anomalias congênitas* / Factores maternos y neonatales asociados a anomalías congénitas / Maternal and neonatal factors associated with congenital anomalies

Objetivo: analisar os fatores maternos e neonatais associados às anomalias congênitas no estado do Rio Grande do Sul. Método: estudo transversal com dados secundários. A amostra foi composta por 5.830 nascidos vivos entre 2012 a 2015. Foram analisadas variáveis maternas e neonatais que descreviam aspectos demográficos e de saúde. Aplicou-se estatística descritiva e inferencial. Resultados: a ocorrência de anomalias congênitas esteve presente em 0,8% dos nascidos vivos e as mais frequentes foram relacionadas ao sistema osteomuscular, circulatório e geniturinário. Houve associação estatística significativa entre mães com filhos com histórico de natimortalidade prévia, prematuridade e menor índice de Apgar no 5º minuto com a ocorrência de anomalias. Conclusão: o estudo analisou os fatores maternos e neonatais associados às anomalias congênitas, demonstrando os grupos com maior risco para as anomalias congênitas. Ressalta-se a importância de proporcionar acesso aos cuidados pré-natais, considerando as condições de vida e trabalho da gestante.

Objective: to analyze maternal and neonatal factors associated with congenital anomalies in the state of Rio Grande do Sul. Method: cross-sectional study with secondary data. The sample consisted of 5,830 live births between 2012 and 2015. Maternal and neonatal variables that described demographic and health aspects were analyzed. Descriptive and inferential statistics were applied. Results: the occurrence of congenital anomalies was present in 0.8% of live births and the most frequent were related to the musculoskeletal, circulatory and genitourinary systems. There was a significant statistical association between mothers with children with a history of previous stillbirth, prematurity and a lower Apgar score in the 5th minute with the occurrence of anomalies. Conclusion: the study analyzed maternal and neonatal factors associated with congenital anomalies, demonstrating the groups at highest risk for congenital anomalies. The importance of providing access to prenatal care is highlighted, considering the living and working conditions of the pregnant woman.

Objetivo: analizar factores maternos y neonatales asociados a anomalías congénitas en el estado de Rio Grande do Sul. Método: estudio transversal con datos secundarios. La muestra estuvo compuesta por 5.830 nacidos vivos entre 2012 y 2015. Se analizaron variables maternas y neonatales que describieron aspectos demográficos y de salud. Se aplicó estadística descriptiva e inferencial. Resultados: la aparición de anomalías congénitas estuvo presente en el 0,8% de los nacidos vivos y las más frecuentes estuvieron relacionadas con los sistemas musculoesquelético, circulatorio y genitourinario. Hubo asociación estadística significativa entre madres con hijos con antecedentes de muerte fetal previa, prematuridad y menor puntaje de Apgar en el 5.° minuto con la aparición de anomalías. Conclusión: el estudio analizó factores maternos y neonatales asociados a anomalías congénitas, demostrando los grupos de mayor riesgo para anomalías congénitas. Se destaca la importancia de brindar acceso a la atención prenatal, considerando las condiciones de vida y trabajo de la gestante.

Predictive value of albumin/fibrinogen ratio for 28-day mortality risk in patients with sepsis / 中华急诊医学杂志

Objective:To investigate the predictive value of albumin/fibrinogen ratio (AFR) for 28-d mortality in patients with sepsis.Methods:A total of 186 patients with sepsis admitted to the Intensive Care Unit of the First Affiliated Hospital of Xinjiang Medical University from January 2019 to December 2021 were studied retrospectively. They were divided into the survival group ( n=124) and death group ( n=62) according to the 28-d survival conditions. Clinical data of each group within 24 h after admission were recorded, including age, sex, underlying diseases, white blood cell count, albumin, fibrinogen (FIB), PCT, CRP and other laboratory examination indexes. APACHEⅡ scores and SOFA scores were recorded at the time of admission. Cox regression was used to analyze the influence of each index on the prognosis of patients. Receiver operating characteristic (ROC) curve was used to analyze the predictive value of AFR for 28-d mortality in patients with sepsis. Kaplan-Meier method was used to draw survival curves under different AFR levels for survival analysis. Pearson correlation was used to analyze the relationship between AFR and APACHEⅡ score. Rseults:Age, number of patients with septic shock, mechanical ventilation, APACHEⅡ score, SOFA score, blood lactic acid and fibrinogen increased significantly in the death group ( P<0.05), while albumin and AFR were significantly decreased ( P<0.001). ROC curve analysis showed that the area under the curve of AFR in predicting 28-d mortality risk of patients with sepsis was 0.900. When the cut-off value of AFR was 7.64, the sensitivity was 80.0% and the specificity was 85.5%. Kaplan-Meier survival analysis showed that patients with AFR >7.64 had better prognosis. Cox regression analysis showed that AFR, APACHEⅡ score and the presence of septic shock were independent risk factors affecting the prognosis of patients with sepsis. AFR was strongly correlated with APACHEⅡ score ( r=-0.462, P<0.001). Conclusions:As a simple, effective and safe biomarker, AFR has a certain predictive value for 28-d mortality risk in patients with sepsis.

Effect of air pollution on mortality among residents in Hangzhou City / 预防医学

Objective@#To examine the effects of air pollution on overall mortality, mortality of respiratory diseases, and mortality of circulatory diseases among residents in Hangzhou City.@*Methods@#Residents' mortality data in Hangzhou City from 2014 to 2016 were captured from Zhejiang Provincial Chronic Disease Surveillance Information Management System, and the ambient air quality in Hangzhou City from 2014 to 2016 were collected from Hangzhou Environmental Monitoring Center, while the meteorological monitoring data during the study period were collected from Hangzhou Meteorological Bureau. The effects of PM2.5, PM10, NO2 and SO2 on overall mortality, morality of respiratory diseases and mortality of circulatory diseases were evaluated a generalized additive model (GAM) based on Poisson distribution, and the risk of mortality was described with excess risk (ER) and its 95%CI.@*Results@#The daily M (QR) overall deaths, deaths from respiratory diseases and deaths from circulatory diseases were 111 (30), 16 (9) and 37 (14) persons in Hangzhou City from 2014 to 2016, respectively. A 10 μg/m3 increase in PM2.5, PM10, NO2 and SO2 resulted in 0.47% (95%CI: 0.23%-0.70%), 0.37% (95%CI: 0.21%-0.53%), 1.06% (95%CI: 0.50%-1.61%) and 3.08% (95%CI: 2.18%-3.99%) rises in the risk of overall mortality, 0.60% (95%CI: 0.04%-1.16%), 0.45% (95%CI: 0.06%-0.83%), 2.01% (95%CI: 0.84%-3.20%) and 6.06% (95%CI: 3.80%-8.37%) rises in the risk of mortality of respiratory diseases, and 0.45% (95%CI: 0.08%-0.83%), 0.44% (95%CI: 0.17%-0.71%), 1.43% (95%CI: 0.49%-2.37%) and 3.66% (95%CI: 2.13%-5.22%) rises in the risk of mortality of circulatory diseases, and the greatest effect was observed at a 2-day lag. Multi-pollutant model analysis showed that, after adjustment for PM2.5, NO2 and PM2.5+NO2+SO2, a 10 μg/m3 increase in SO2 resulted in an elevated risk of mortality of respiratory diseases than a single-pollutant model.@*Conclusions@#The air pollutants PM10, PM2.5, NO2, and SO2 correlated positively with the risk of overall mortality, mortality of respiratory diseases and mortality of circulatory diseases in Hangzhou City from 2014 to 2016, and the co-existence of multiple pollutants enhanced the effect of SO2 on mortality of respiratory diseases.

Potential risk factors for mortality in patients with COVID-19: A retrospective study

Although severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection caused more than five million deaths throughout the world and more than five thousand deaths in Libya, a little is known about the mortality rate and the risk factors for death from this serious infectious disease in Libya. Thus, it is aimed in this study to identify the potential risk factors for mortality from SARS-CoV-2 infections among 176 Libyan COVID-19 patients in Zawia city. This research is a retrospective cohort study that was conducted on 176 randomly selected volunteers who had been infected with SARS-CoV-2 during a period of December2020 to February 2021 in Zawia city, Libya. Following filling the prepared validated questionnaire by COVID-19 patients, the data was analyzed to determine the previously mentioned risk factors. The mean age(SD) of the total 176 participated COVID-19 patients was 45.06 (± 17.7) and the mortality rate among these total involved cases (mild to severe cases) was 10.8%. It is found that the mortality among the severe COVID19 cases was 41.3% and the mean age (SD) of COVID-19 deaths was 69.1 years (13.8) and 73.7% of them were 60 years old or older. In addition, it is found that 63.2% of the SARS-CoV-2 deaths were females and 78.9% of them had a positive history of chronic diseases. Moreover, it was found that the most common chronic diseases among COVID-19 deaths are diabetes mellitus and hypertension (73.3% and 53.3%, respectively). Collectively, it is concluded that COVID-19 elderly female patients aging 60 years or older with a positive history of chronic disease are more likely at high risk for death from SARS-CoV-2 infection among the participated COVID cases

Progress in the application of critically ill neonatal transport score / 国际儿科学杂志

Emergency transport of critically ill neonates is an important means to reduce neonatal mortality and improve prognosis.Neonatal transport score is used to evaluate the safety of transport, mainly including transport risk index of physiologic stability, mortality index for neonatal transportation, transport related mortality score and intrauterine transport score.Evaluating the severity of disease of critically ill newborns before, during and after transport can reduce the occurrence of transport complications, reduce neonatal mortality, improve prognosis and increase the success rate of treatment.This paper reviews the research progress of critical neonatal transport scoring at home and abroad to help clinicians choose appropriate scoring methods according to specific conditions, in order to provide a basis for continuous quality improvement in this field.

Epidemiological trends and major risk attribution analysis of pancreatic cancer in China, Japan and South Korea from 1990 to 2019 / 中华消化外科杂志

Objective:To analyze the epidemiological trends and major risk attribution of pancreatic cancer in China, Japan and South Korea from 1990 to 2019.Methods:The descriptive epidemiological method was conducted. The overall incidence rate, mortality rate, age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) of pancreatic cancer in China, Japan and South Korea from 1990 to 2019 were collected from the Global Burden of Disease (GBD) Database. Age-standardized rates were calculated based on the worldwide standardized population structure provided by GBD Database 2019. Observation indicators: (1) incidence and motality of pancreatic cancer in China, Japan and South Korea in 2019; (2) age-period-cohort model analysis of incidence and mortality rates of pancreatic cancer in China, Japan and South Korea from 1990 to 2019; (3) trends of ASIR and ASMR of pancreatic cancer in China, Japan and South Korea from 1990 to 2019; (4) trends of major risk attribution of pancreatic cancer related death in China, Japan and South Korea from 1990 to 2019. Count data were represented as absolute numbers, percentages and ratios. Joinpoint V.4.7.0.0 software was used to calculate the annual percentage change (APC), the average annual percentage change (AAPC) of incidence and mortality rates of pancreatic cancer in different time periods and 95% confidence interval (95% CI). The age-period-cohort model in STATA V.15.0 software was used to analyze the influence of different ages, periods and birth cohorts on the risk of onset and death of pancreatic cancer after controlling the other two variables, with the risk effect size described as relative risk (95% CI). Results:(1) Incidence and motality of pancreatic cancer in China, Japan and South Korea in 2019. In 2019, the incidence rate of pancreatic cancer in China increased from 0.07/100,000 among 15-19 years old to 64.01/100,000 among 85-89 years old, with increasing from 0.09/100,000 to 94.71/100,000 in males and from 0.04/100,000 to 47.47/100,000 in females. The mortality rate of pancreatic cancer in China increased from 0.04/100,000 among 15-19 years old to 79.58/100,000 among 85-89 years old, with increasing from 0.05/100,000 to 116.50/100,000 in males and from 0.03/100,000 to 59.69/100,000 in females. The incidence rate of pancreatic cancer in Japan increased from 0.03/100,000 among 15-19 years old to 162.26/100,000 among 85-89 years old, with increasing from 0.03/100,000 to 177.67/100,000 in males and from 0.04/100,000 to 153.67/100,000 in females. The mortality rate of pancreatic cancer in Japan increased from 0.02/100,000 among 15-19 years old to 154.88/100,000 among 85-89 years old, with increasing from 0.02/100,000 to 170.93/100,000 in males and from 0.02/100,000 to 145.94/100,000 in females. The incidence rate of pancreatic cancer in South Korea increased from 0.04/100,000 among 15-19 years old to 136.78/100,000 among 85-89 years old, with increasing from 0.03/100,000 to 153.78/100,000 in males and from 0.04/100,000 to 129.73/100,000 in females. The mortality rate of pancreatic cancer in South Korea increased from 0.02/100,000 among 15-19 years old to 135.98/100,000 among 85-89 years old, with increasing from 0.02/100,000 to 156.21/100,000 in males and from 0.02/100,000 to 127.59/100,000 in females. The peak incidence and mortality of pancreatic cancer in China were found in males aged 65-69 years, and the overall incidence and mortality of males in different age groups were higher than those of females in the same age group. In Japan, the peak incidence of pancreatic cancer occurred in females aged 80-84 years and the peak mortality occurred in males aged 75-79 years. The morbidity and mortality of males aged <80 years were higher than those of females in the same age group, while the morbidity and mortality of males aged ≥80 years were lower than those of females in the same age group. In South Korea, the peak incidence of pancreatic cancer occurred in females aged 80-84 years, and the peak mortality occurred in males aged 70-74 years. The morbidity and mortality of males aged <75 years were higher than those of females in the same age group, while the morbidity and mortality of males aged ≥75 years were lower than those of females in the same age group. (2) Age-period-cohort model analysis of incidence and mortality rates of pancreatic cancer in China, Japan and South Korea from 1990 to 2019. Age effect: after adjustment for the period and cohort effects, the risk of incidence and mortality rates of pancreatic cancer in both males and females of China, Japan and South Korea increased with age, which is more obvious in females than males, and more obvious in Japanese than Chinese and Korean populations. Period effect: after adjustment for age and cohort effects, the risk of incidence and mortality rates of pancreatic cancer in both males and females of China, Japan and South Korea increased from 1990 to 2019, with the period effect more significant in the Chinese population. Cohort effect: after adjustment for age and period effects, the risk of morbidity and mortality rates of pancreatic cancer decreased with the passage of birth cohort in China, Japan and South Korea. (3) Trends of ASIR and ASMR of pancreatic cancer in China, Japan and South Korea from 1990 to 2019. The ASIR and ASMR of pancreatic cancer in China increased yearly from 1990 to 2019, and the ASIR and ASMR in 2019 were 1.82 times and 1.79 times those in 1990, respectively. The ASIR and ASMR of pancreatic cancer in Japan showed a slowly increasing trend, and the ASIR and ASMR in 2019 were 1.09 times and 1.05 times those in 1990, respectively. The ASIR and ASMR of pancreatic cancer in South Korea increased firstly, then decreased, and slowly increased. From 1990 to 2019, the AAPC of ASIR of pancreatic cancer in China was 2.08% (95% CI as 1.91% to 2.24%, P<0.05) and AAPC of ASMR was 2.02% (95% CI as 1.86% to 2.19%, P<0.05). The AAPC of ASIR of pancreatic cancer in Japan was 0.28% (95% CI as 0.15% to 0.42%, P<0.05) and AAPC of ASMR was 0.13% (95% CI as 0.03% to 0.24%, P<0.05). The AAPC of ASIR of pancreatic cancer in South Korea was 0.50% (95% CI as 0.21% to 0.80%, P<0.05) and AAPC of ASMR was 0.15% (95% CI as -0.10% to 0.40%, P>0.05). (4) Trends of major risk attribution of pancreatic cancer related death in China, Japan and South Korea from 1990 to 2019. The main risk factors for pancreatic cancer related death in China, Japan and South Korea from 1990 to 2019 were smoking, high fasting glucose and high body mass index (BMI). The trend of pancreatic cancer related death, mainly attributed to smoking, showed that the proportion of Chinese males increased from 31.4% in 1990 to 34.1% in 2000, then decreased to 31.1% in 2015, and then showed a slow increase to 31.7% in 2019. The proportion of Chinese females increased from 6.7% in 1990 to 10.4% in 2005 and then dropped to 8.7% in 2019. The proportion of Japanese males decreased from 38.8% in 1990 to 26.9% in 2019 and the proportion of Japanese females decreased from 20.9% in 1990 to 14.8% in 2019. The proportion of South Korean males decreased from 37.5% in 1990 to 30.3% in 2019 and the proportion of South Korean females decreased from 12.6% in 1990 to 10.0% in 2019. The trend of pancreatic cancer related death proportion, mainly attributed to high fasting blood glucose, showed that the proportion of Chinese males increased from 5.9% in 1990 to 7.1% in 2019 and the propor-tion of Chinese females increased from 6.2% in 1990 to 6.8% in 2019. The proportion of Japanese males increased from 7.0% in 1990 to 7.7% in 2019 and the proportion of females increased from 5.0% in 1990 to 5.5% in 2019. The proportion of South Korean males increased from 6.8% in 1990 to 9.7% in 2019 and the proportion of females increased from 6.1% in 1990 to 8.2% in 2019. The trend of pancreatic cancer related deaths proportion, attributed mainly to high BMI, showed that the proportion of Chinese males increased from 1.3% in 1990 to 3.0% in 2019 and the proportion of females increased from 2.1% in 1990 to 4.3% in 2019. The proportion of Japanese males increased from 2.0% in 1990 to 2.4% in 2019 and the proportion of females increased from 3.1% in 1990 to 3.4% in 2019. The proportion of South Korean males increased from 1.9% in 1990 to 3.1% in 2019 and the proportion of females increased from 3.4% in 1990 to 4.3% in 2019. Conclusions:The incidence of pancreatic cancer in China may continue to rise but to be stable in Japan and South Korea. The incidence of pancreatic cancer in females, especially elderly women, needs more attention. Smoking remains the most critical risk factor for pancreatic cancer. More attention should also be paid to the increased risk of pancreatic cancer associated with high BMI and high fasting plasma glucose.

A prospective cohort study on the effect of respiratory diseases on the mortality risk of the Chinese elderly / 西安交通大学学报(医学版)

【Objective】 To explore the effect of respiratory diseases on the mortality risk of the elderly in China. 【Methods】 Totally 12 946 elderly people interviewed by The Chinese Longitudinal Healthy Longevity Survey （CLHLS） in 2008 were taken as the research objects. The elderly in this cohort were followed up until 2018. The effect of respiratory diseases on the risk of mortality in the elderly was analyzed by constructing Cox proportional risk model， and heterogeneity was analyzed by gender and age groups. 【Results】 Compared with the elderly without respiratory diseases， respiratory diseases significantly increased the risk of mortality in the elderly. Specifically， after adjusting for confounding factors， respiratory diseases increased the overall mortality risk of the elderly by 22% （HR=1.22， 95% CI： 1.14-1.30）， and self-rated respiratory diseases with little or great impact on their own life increased the mortality risk of the elderly by 18% （HR=1.18， 95% CI： 1.09-1.29） and 31% （HR=1.31， 95% CI： 1.18-1.46）， respectively. Heterogeneity analysis showed that respiratory diseases increased the risk of mortality in male and female elderly by 32% （HR=1.32， 95% CI： 1.21-1.45） and 11% （HR=1.11， 95% CI： 1.01-1.23）， respectively. Respiratory diseases increased the risk of mortality in the groups aged 65-79 years and 80-94 years by 49% （HR=1.49， 95% CI： 1.26-1.76） and 21% （HR=1.21， 95% CI： 1.26-1.76）， respectively. However， they did not significantly affect the risk of mortality in the group aged 95-104 years （HR=1.09， 95% CI： 0.97-1.23）. 【Conclusion】 Respiratory disease is an important risk factor that accelerates the mortality of the elderly， and the impact of respiratory diseases on the mortality risk of the male elderly is greater than that of the female counterparts， and the impact on the mortality risk of the young elderly is greater than that of the elderly.

Effect of frailty on the risk of all-cause mortality —a 12-year follow-up study of community residents aged 45 years and above in Shanghai / 上海预防医学

ObjectiveTo analyze the effect of frailty status on the risk of mortality in a community-based population aged 45 years and above in Shanghai with different characteristics， and to provide further basis for population-based interventions for frailty and prevention of adverse outcomes. MethodsData were derived from baseline data from the Shanghai prospective study on AGEing and adult health （2009-2010） and cohort follow-up of causes of death up to October 30， 2021. Frailty index （FI） scores were constructed from 40 variables. Those with frailty index FI≥0.2 were judged to be in a frail state， and a multifactorial Cox regression model was used to calculate the hazard ratio （HR） to evaluate the effect of frailty status on the risk of death in different age groups by gender. Socioeconomic characteristics （age， residence， marital status， education and family economic level， etc.） and health-related behaviors （smoking， alcohol consumption， fruit and vegetable intake， social participation， etc.） were included as control variables. ResultsThe study included 7 978 subjects， 777 （9.7%） of whom were in a frail state. After （11.3±1.8） years of follow-up， 1 043 （13.1%） individuals were dead， including 214 （27.5%） who were frail. The results of the multifactorial Cox regression analysis showed that the effect of frailty on the risk of death in each subgroup was in descending order of men in the middle-aged group （45‒ years） （HR=2.92， 95%CI： 1.38-6.19）， women in the low-aged elderly group （60‒ years） （HR=1.68， 95% CI： 1.08-2.60）， and women in the old-aged elderly group （≥75 years and older） （HR=1.59， 95%CI： 1.22‒2.06）. ConclusionFrailty is associated with the risk of death， and we should focus on the frailty status of men aged 45~59 years and women aged 60 years and above. Early screening and assessment of frailty status and taking appropriate preventive interventions may reduce the occurrence of adverse outcomes and premature death.

Case-crossover study on association between temperature and non-accidental mortality in Tibet Plateau, China / 环境与职业医学

Background Under the background of global climate change, temperature has increased dramatically. Most studies about association between temperature and human health are conducted in low-altitude areas, but rarely focus on plateau areas. Objective To examine the association between temperature and non-accidental mortality risk in Tibet Plateau, China and to identify vulnerable populations for formulating targeted policies of climate change adaptation. Methods The mortality data, meteorological data, and pollutant data of Tibet area between 2013 to 2019 were collected. Based on time-stratified case-crossover design, conditional logistic regression models were used to analyze the exposure-response relationship between temperature and cause-specific mortality, which was linearized to obtain excess risk for 1 ℃ change; attributable fraction was calculated for assessing burden attributable to temperature; and stratified analyses were further conducted by gender, age (＜65 years old, ≥65 years old), and causes of death (cardiovascular diseases, cerebrovascular diseases, and respiratory diseases). Sensitivity analyses were conducted by adjusting model parameters and variables. Results A total of 26 045 non-accidental deaths were collected in Tibet during 2013 and 2019, and the P50 of temperature was 5.0 ℃. The non-accidental mortality risk increased as temperature become colder. A 1 ℃ decrease in temperature was associated with a 2.01% (95%CI: 0.94%-3.07%) increase in total non-accidental mortality, while the association changed to 2.05% (95%CI: 0.62%-3.47%) for male and 1.96% (95%CI: 0.34%-3.56%) for female, both of statistial significance; 1.45% (95%CI: −0.10%-2.98%) for the people <65 years old (not of significance) and 2.52% (95% CI : 1.04%-3.99%) for the people ≥65 years old (of significance); the excess risk for cardiovascular mortality was 2.65% (95%CI: 1.03%-4.24%), for cerebrovascular mortality was 3.70% (95%CI: 0.74%-6.57%), both of statistical significance, and for respiratory mortality was 2.18% (95%CI: −0.14%-4.44%), without significance. The total attribution number of non-accidental mortality was 5340 (95%CI: 2719-7528), and the total attributable fraction was 20.50% (95%CI: 10.44%-28.91%). The attributable fractions were higher in specific subgroups like male (20.72%), people ≥65 years (23.33%), and people with cardiovascular diseases (26.07%). Conclusion The exposure-response relationship between temperature and non-accidental mortality in Tibet showes that the non-accidental mortality risk increase as temperature become colder. The attributable burden of disease is heavy. Residents being male, ≥65 years, with cardiovascular diseases and respiratory diseases may be vulnerable to nonoptimal temperature.

A time series study on the effect of low air pollution level of NO2 on the death of cardiovascular and cerebrovascular diseases in residents / 公共卫生与预防医学

Objectives To investigate the effects of low level of ambient NO2 on the death of cardiovascular and cerebrovascular diseases in Enshi city and to identify sensitive population, so as to provide a scientific basis for formulating health policies. Methods The data of air pollutants, meteorological factors and death of cardiovascular and cerebrovascular diseases in Enshi city from 2015 to 2018 were collected. The generalized additive model based on Poisson distribution was used to analyze the effects of low ambient NO2 level on the death risk of cardiovascular and cerebrovascular diseases in Enshi city. A subgroup analysis was performed on age, gender, and season. Results The average concentrations of major gaseous air pollutants in Enshi city from 2015 to 2018 were NO2 (21.40 μg/m3), SO2 (9.68 μg/m3), CO (0.88 mg/m3), and O3 (61.21 μg/m3), respectively, all of which did not exceed the national secondary standard. The results of single pollutant model analysis showed that each 1 μg/m3 increase in NO2 concentration in lag0 day was associated with a 0.33% increase (95% CI: 0.06 - 0.72) (P>0.05) in mortality risk of cardiovascular and cerebrovascular diseases. In the female population, each 1 μg/m3 increase in NO2 concentration in lag01 day was associated with a 0.92% increase (95% CI: 0.26 - 1.56) (P2 concentration in lag0 day was associated with a 0.62% increase (95% CI: 0.12 - 1.12) (P2, CO or O3), the effect of NO2 on the mortality risk of cardiovascular and cerebrovascular diseases in women and the whole population in cold season still existed. Conclusion The low ambient level of NO2 in Enshi city was significantly associated with increased mortality risk of cardiovascular and cerebrovascular diseases in female population as well as in cold seasons in the whole population. Attention should be paid to the health protection of special populations in areas with low ambient pollution level of NO2 in special seasons.

A prospective cohort study of the influence of positive/negative effectivity on the mortality risk of the Chinese elderly / 北京大学学报(医学版)

OBJECTIVE@#To explore the influence of positive/negative effectivity on the mortality risk of the Chinese elderly.@*METHODS@#Using the latest four surveys data of Chinese longitudinal healthy longevity survey in 2008, 2012, and 2014, as well as 2018 and selecting 10 993 elderly people who were aged 65 and above as research objects, this paper compared the positive/negative effectivity status and differences of the elderly in different gender and age groups. And then this paper analyzed the effect of positive/negative effectivity on elderly people' s mortality risk by constructing Cox proportional hazards model.@*RESULTS@#Compared with the female elderly, the male elderly had lower negative effectivity and higher positive effectivity. With the increase of age, the negative effectivity of the elderly increased, while the positive effectivity decreased. The results showed that after adjusting for the basic demographic characteristics, health status and living habits of the respondents in the baseline survey, in the positive effectivity dimension, "clean preference" (HR=0.922, 95%CI: 0.889-0.956), "autonomy" (HR=0.933, 95%CI: 0.914-0.952) and "sense of youth" (HR=0.948, 95%CI: 0.927-0.969), had a protective effect on the mortality risk of the elderly, while in the dimension of "open-minded view", there was no significant difference in the mortality risk of the elderly with different answers. In the negative effecti-vity dimension, "tension and fear" (HR=1.039, 95%CI: 1.014-1.065), "loneliness" (HR=1.053, 95%CI: 1.029-1.079) and "uselessness" had a harmful effect on the mortality risk of the elderly. The more positive effectivity, the lower the mortality risk of the elderly (HR=0.967, 95%CI: 0.956-0.978), while the more negative effectivity, the higher the mortality risk of the elderly (HR=1.024, 95%CI: 1.013-1.035).@*CONCLUSION@#The negative effectivity of the elderly in all dimensions may increase the mortality risk of elderly people. We ought to dredge the negative emotions of the elderly in time. In the health promotion of the elderly, we should also pay attention to the encouragement of positive effectivity in all dimensions, which requires the joint efforts of families, communities and governments.

Early mortality risk prediction models for patients with sepsis-induced cardiorenal syndrome based on machine learning / 中华肾脏病杂志

Objective:To explore the method of constructing an early mortality risk prediction model for patients with sepsis-induced cardiorenal syndrome by machine learning algorithm, so as to provide a basis for early clinical identification of high-risk patients and accurate treatment.Methods:Patients with sepsis-induced cardiorenal syndrome from January 1, 2015 to May 31, 2019 in Tongji Hospital, Tongji University were enrolled. Basic characteristics, laboratory indexes, hospitality treatment and other relevant baseline data were collected. Thirty-day mortality was defined as the primary end-point event after the enrolled patients were diagnosed. Python software was applied to establish different machine learning models, and the area under the receiver -operating characteristic curve ( AUC) was used to evaluate the predictive value of models. Disease-related risk factors were selected according to the most optimal model. Importantly, visualized decision tree and semi-naive Bayesian (sNB) models were established to further explore the interrelationship between these risk factors. Results:A total of 340 patients were included, of whom 114 patients (33.5%) died within 30 days after diagnosis. The AUC of support vector machine (SVM), random forest (RF), gradient boosting decision tree (GBDT), extreme gradient boosting (XGBoost), and light gradient boosting machine (LGBM) prediction models were 0.652, 0.868, 0.870, 0.754, and 0.852, respectively. The AUC of GBDT model had the most efficiency to predict end-point events, and the prediction AUC value was better. According to the feature ranking of GBDT model, the relevant influencing factors were selected, including total sequential organ failure assessment (SOFA) score, neural SOFA score, vasoactive drug application, cardiac troponin I (cTNI), age, myoglobin, circulation system SOFA score, chronic kidney disease, heart rate and baseline serum creatinine. Visualized decision tree model had 4 layers, 15 nodes and 8 terminal nodes as evidenced by total SOFA score, myoglobin, baseline serum creatinine and age. The total SOFA score, change rate of myoglobin, serum creatinine and age were included into the visualized decision model. The AUC value of the model for predicting end-point event was 0.690. sNB model revealed complex correlation between the risk factors, in which neural SOFA score was related to total SOFA score, vasoactive drug application was related to total SOFA score, and cTNI was related to baseline serum creatinine. Conclusions:A risk prediction model for patients with sepsis-induced cardiorenal syndrome is established and the model showes that high SOFA score remains the primary risk factor for patients with sepsis-induced cardiorenal syndrome based machine learning. Visualized decision tree and sNB models help clinicians to further identify the dependence and logic relationship among these risk factors clearly and provide a novel method to predict mortality risk for patients with sepsis-induced cardiorenal syndrome.

Association between body mass index and mortality among older Chinese: evidence from CHARLS / 预防医学

Objective@#To investigate the association between body mass index ( BMI ) and mortality risk among older Chinese based on the China Health and Retirement Longitudinal Study ( CHARLS ). @*Methods@#The demographic features, BMI, prevalence of chronic diseases and mortality among the elderly at ages of 60 years and greater were captured from the CHARLS database from 2011 to 2018. A multivariable Cox proportional hazards regression model was used to examine the association between BMI and the risk of death.@*Results@#Totally 6 023 subjects were enrolled, including 3 006 men ( 50.09% ) and 3 017 women ( 49.91% ), and 68.69% of the participants ( 4 137 subjects ) were at ages of 60 to 69 years. There were 637 subjects ( 10.58% ) with underweight, 1 544 ( 25.63% ) with overweight, and 557 ( 9.25% ) with obesity. During the follow-up period ( 35 091 person-years ), 1 035 subjects died. Multivariable Cox proportional hazards regression analysis revealed an increased risk of mortality among the underweight elderly ( HR=1.496, 95%CI: 1.261-1.775 ) and a reduced risk of mortality among the obese elderly ( HR=0.671, 95%CI: 0.511-0.881 ) relative to the elderly with normal weight, after adjustment for age, gender, smoking, household registration, administration of anti-diabetic drugs, administration of anti-dyslipidemia drugs, and administration of anti-hypertensive drugs.@*Conclusion@#It is found that the risk of mortality among the Chinese elderly correlatives with BMI through the analysis of CHARLS data.

Application of the mortality risk score for severe hand, foot and mouth disease in children with hand, foot and mouth disease in pediatric intensive care unit / 中国小儿急救医学

Objective@#To analyze the predictive value of the mortality risk score for severe hand, foot and mouth disease(MRSHFMD) system for the complications and mortality risk of severe hand, foot and mouth disease(HFMD) in children.@*Methods@#This study included 354 children with severe HFMD who admitted in the pediatric intensive care unit(PICU) of Hunan Provincial Children′s Hospital from March 2012 to March 2014.The patients were grouped according to whether they had complicated nervous system damage, pulmonary edema, pulmonary hemorrhage and circulatory failure in the course of disease, and the prognosis was grouped according to their 28 d survival.The worst values of white blood cell count, blood glucose, blood lactic acid, N-terminal pro-brain natriuretic peptide, within 24 hours after admission were used to score MRSHFMD.The predictive value of MRSHFMD for nervous system damage, pulmonary edema, pulmonary hemorrhage, circulatory failure, and prognosis were evaluated using the receiver operating characteristic(ROC)curve.@*Results@#The blood glucose, white blood cell count, blood lactic acid value, N-terminal pro-brain natriuretic peptide and MRSHFMD score of the children with HFMD complicated with nervous system damage, pulmonary edema, pulmonary hemorrhage and circulatory failure were significantly higher than those in the non-complicated groups(P<0.01). When the cut-off value of MRSHFMD score was 3, the area (95%CI) under the ROC curve were 0.723 (0.643-0.804), 0.870 (0.793-0.946), 0.921 (0.85-0.992), 0.944 (0.867-1.000) and 0.954 (0.000-1.000) of nervous system damage, pulmonary edema, pulmonary hemorrhage, circulation failure and death in children with HFMD, respectively.The specificity and sensitivity of predicting nervous system damage, pulmonary edema, pulmonary hemorrhage, circulatory failure and death were 44.6% and 95.8%; 67.5% and 95.5%; 83.3% and 95.1%; 89.3% and 95.1%; 90.9% and 93.7%, respectively.@*Conclusion@#MRSHFMD system is an effective tool to predict HFMD complications of pulmonary hemorrhage, circulatory failure, and death, which is worthy of clinical promotion.

Value of joint prediction model based on the modified systemic inflammatory response syndrome score for predicting mortality risk of patients with large area burns at early stage after admission / 中华烧伤杂志

Objective@#To investigate the predictive value of the joint prediction model based on the modified systemic inflammatory response syndrome (SIRS) score (hereinafter referred to as the joint prediction model) for the mortality risk of patients with large area burns within 24 hours after admission.@*Methods@#The clinical data of 158 patients [111 males, 47 females, aged 40 (28, 50) years] admitted to the Department of Burn Surgery of the First Affiliated Hospital of Naval Medical University from January 2005 to January 2018, conforming to the study criteria, were analyzed retrospectively by the method of case-control study. The age, gender, total burn area, full-thickness burn area, injury cause, with or without inhalation injury, severity of inhalation injury, and tracheotomy condition of patients were recorded, and the modified SIRS score and the modified Baux score of patients were calculated. According to the final outcome, all patients were divided into survival group (n=123) and death group (n=35). The clinical data of patients between two groups, except for modified Baux score, were compared by chi-square test or Mann-Whitney U test to screen the death-related factors of patients. The indexes with statistically significant difference between the two groups were included in the multivariate logistic regression analysis to screen the independent risk factors related to the death of patients, and the prediction model was constructed by combining the modified SIRS score. The receiver′s operating characteristic curves of the modified SIRS score, the modified Baux score, and the joint prediction model of 158 patients were drawn to analyze their ability to predict death of patients. The area under curve (AUC) of the receiver′s operating characteristic and the sensitivity and specificity of optimal threshold were calculated, and the quality of AUC of the three prediction indexes was compared with Jonckheere-Terpstra test.@*Results@#(1) There were statistically significant differences between the two groups in the modified SIRS score, age, total burn area, full-thickness burn area, severity of inhalation injury, with or without inhalation injury, and tracheotomy condition of patients (Z=-4.356, -3.568, -5.291, -6.052, -4.720, χ2=12.967, 19.692, P<0.01). (2) The modified SIRS score, age, full-thickness burn area were the independent risk factors for the death of patients with large area burn (odds ratio=2.699, 1.069, 1.029, 95% confidence interval=1.447-5.033, 1.029-1.109, 1.005-1.054, P<0.05). (3) The AUC of modified SIRS score, the joint prediction model, and the modified Baux score for predicting death of 158 patients within 24 hours after admission were 0.730, 0.879, and 0.895 respectively (95% confidence interval=0.653-0.797, 0.818-0.926, 0.836-0.938, P<0.01). The sensitivities of the three optimal threshold values to death prediction were 54.3%, 91.4%, and 82.9% respectively, while the specificities were 81.3%, 76.4%, and 84.6% respectively. The AUC quality of the joint prediction model was similar to that of the modified Baux score (95% confidence interval=-0.057-0.088, P>0.05), and both of them were significantly better than that of the modified SIRS score (95% confidence interval=0.072-0.259, 0.023-0.276, P<0.05 or P<0.01).@*Conclusions@#Both the joint prediction model and the modified Baux score are considered to be good to predict the death rate of patients with large area burns at early stage after admission. However, the joint prediction model has better clinical practice value due to its advantage of simple scoring and easier access to data acquisition.