1.Research progress on the correlation between genetic factors and sudden cardiac death in the elderly
Chaonan LI ; Song HU ; Jia LIU ; Yongjun MAO
Chinese Journal of Geriatrics 2023;42(3):357-360
Sudden cardiac death(SCD)in the elderly is defined as a sudden accidental death in patients over 65 years of age within one hour of symptom onset or within 24 hours with no symptoms, possibly due to arrhythmia or abrupt hemodynamic changes.It is characterized by rapid onset, rapid progression, and high mortality.Sudden cardiac death in the elderly is the most serious clinical syndrome in elderly patients with heart disease.It accounts for more than 80% of all sudden death cases and is the cause of sudden death in the vast majority of elderly patients.Clinical methods for the detection of sudden cardiac death include mostly screening through family and personal history, physical examination, electrocardiogram analysis and echocardiography, but their drawbacks include lack specificity, low detection rates and relatively limited scenarios for their use.Genetic susceptibility is also responsible for sudden cardiac death.Genetic factors play an important role in the occurrence and development of sudden cardiac death.This review summarized the correlation between sudden death and genetic factors underlying different cardiovascular diseases, including the role of genetic polymorphisms in the occurrence of sudden cardiac death in older adults.
2.Early screening of high-risk patients with radiation-induced hypothyroidism in nasopharyngeal carcinoma by hematological examination
Ling ZHOU ; Chaonan ZHU ; Jia CHEN ; Shuang HUANG ; Changjuan TAO ; Wei SHEN ; Ming CHEN ; Zhonghua YU ; Yuanyuan CHEN
Chinese Journal of Radiation Oncology 2020;29(9):739-743
Objective:To analyze the relationship between hematological examination combined with clinical factors and radiation-induced hypothyroidism (HT) in patients with nasopharyngeal carcinoma (NPC).Methods:Clinical data of 206 patients with NPC who received radiotherapy in Cancer Hospital of University of Chinese Academy of Sciences between January 2015 to August 2018 were retrospectively analyzed. The correlation between general clinical data, hematological examination and HT was analyzed to establish a hematological prediction model.Results:Univariate analysis showed that sex, N-stage, thyroid volume, average dose, V 20Gy, V 25Gy, V 30Gy, V 35Gy, V 40Gy, V 45Gy, fibrinogen content, cholinesterase and neutrophil count were closely associated with the incidence of HT. Multivariate analysis showed that thyroid volume, fibrinogen content and cholinesterase were the independent predictors of HT. Conclusion:The combination of sex, N-stage, thyroid volume, dose parameters, fibrinogen content, cholinesterase, neutrophil percentage and neutrophil count can predict the incidence of HT (AUC=0.777).
3.Exploration of building a smart management platform for large-scale medical equipment in hospitals
Xiaohua LIU ; Boqi JIA ; Xiaoxiao LUAN ; Manhui ZHANG ; Chuankun ZHOU ; Ying LI ; Chaonan XU ; Zhenlin LIU ; Feng XU
Chinese Journal of Hospital Administration 2021;37(10):856-859
Strengthening the supervision over the use of large-scale medical equipment is an effective means to improve the efficiency of equipment use and the quality of medical services, and it is an important part of promoting the construction of the Healthy China and the development of health undertakings. Through four stages of preliminary demand investigation, intelligent collection of data, intelligent analysis and evaluation, and continuous improvement, a large-scale medical equipment intelligent management platform was built in our hospital. Real-time data collection, interconnection, analysis and evaluation were achieved, which could help the use and supervision, improve efficiency and effectiveness, and optimize the evaluation system.
4.Explore solutions to the "grey zone" of activated partial thromboplastin time mixing study
Chaonan LIU ; Liqin LING ; Xunbei HUANG ; Jian MI ; Juan LIAO ; Jin JIA ; Jing ZHOU
Chinese Journal of Laboratory Medicine 2022;45(10):1056-1062
Objective:To explore solutions to the "grey zone" of activated partial thromboplastin time (APTT) mixing study, and establish the clinical application pathway of it.Methods:Patients treated in West China Hospital of Sichuan University from January 1, 2018, to December 31, 2019, with a prolonged APTT were included in this study. The ROC curve was used to analyze the"cut-off"of different methods and explore solutions to the "grey zone" by combination of the 1∶1 and 4∶1 mixing study. Similar samples from January 1, 2020 to December 31, 2020 were included to verify the diagnostic efficiency of the clinical application pathway.Results:The traditional Rosner index criterion had a low diagnostic accuracy in differentiating factor deficiencies from inhibitors. A total of 49 cases (15%) in the establishment group and validation group were located in the "grey zone". The optimal cut-off value of the Rosner index in our 1∶1 mixing study for determining factor deficiency was 5.0%, and inhibitor was 9.1%. The sample between 5.0% and 9.0% needed 4∶1 mixing studies, which could significantly improve the detection sensitivity of inhibitors. The percentage of extended time after incubation-P (1∶1 mixing>10.8% and 4∶1 mixing>13.5%) was better than the traditional criterion mentioned by"consensus"in determining whether the inhibitor was time-dependent. The sensitivity, specificity, positive predictive value and negative predictive value of combined the 1∶1 and 4∶1 mixing study in differentiating factor deficiencies from inhibitors all attained more than 90%. Only 7% (3/43)of inhibitors were incorrectly classified into the factor deficiency group by the combination, which was 20.9% (9/43) by traditional criterion. The specificity for detecting time-dependent inhibitor was increased from 54.2% to 100%, and accuracy was increased from 63.3% to 97.4%.Conclusions:The combination of 1∶1 and 4∶1 mixing study can better resolve the "grey zone". The established clinical application pathway is beneficial for the further promotion and clinical application of APTT mixing study.
5.Epidemiological characteristics of injury-induced deaths among the residents in Taizhou City, Zhejiang Province, 2009‒2022
Dongju QIAO ; Liangyou WANG ; Xiaoxiao CHEN ; Chaonan JIA
Shanghai Journal of Preventive Medicine 2024;36(9):883-887
ObjectiveTo analyze the mortality rate and the changing trends of injury in Taizhou City from 2009 to 2022, so as to provide a reference for developing injury intervention strategies. MethodsSurveillance data on injury deaths of the registered residents in Taizhou from 2009 to 2022 were used, and descriptive statistics and χ2 test were employed to analyze the mortality rates and differences by age group, gender, and region. Joinpoint regression analysis was used to analyze the trends and calculate the annual percentage change(APC). ResultsFrom 2009 to 2022, a total of 53 707 injury deaths were recorded in Taizhou, with a mortality rate of 64.38/105 and a standardized mortality rate of 66.68/105. The injury mortality rate showed a decreasing trend (APC=-1.30%, P<0.05). The top five causes of death were accidental falls, traffic accidents, drowning, suicide, and accidental poisoning, all showing a decreasing trend (APC=-3.30%, -7.65%, -2.77%, -5.78%, and -7.82%, respectively, all P <0.05). The leading causes of death for those under 15 years old, 15‒64 years old, and 65 years old and above were drowning, traffic accidents, and accidental falls, respectively. There was no statistical difference in the mortality rate between urban and rural areas (χ2=3.81, P=0.05), but there was a statistical difference between genders (χ2=7 520.15, P<0.01). ConclusionIn recent years, injury deaths among the residents in Taizhou have been decreasing. Efforts should be made to strengthen the prevention and control of injuries such as drowning in children, traffic accidents in middle-aged and young people, and accidental falls in the elderly.
6.Analysis on mortality and premature death rates of four major chronic diseases in Taizhou, Zhejiang 2011‒2018
Dongju QIAO ; Liangyou WANG ; Xueping LOU ; Wenjie CHAI ; Chaonan JIA ; Zizhu LI ; Yingyan GUO ; Xiaoxiao CHEN
Shanghai Journal of Preventive Medicine 2022;34(12):1207-1213
ObjectiveTo analyze the characteristics of death and premature death of 4 major chronic diseases (cardiovascular and cerebrovascular diseases, malignant tumors, chronic respiratory diseases and diabetes) in Taizhou City from 2011 to 2018,and provide data basis for the government to formulate chronic disease prevention planning. MethodsThe death data of household registration residents in Taizhou City from 2011 to 2018 were derived from the Chronic Disease Surveillance Information Management System in Zhejiang Province. The death toll ratio of chronic diseases, the mortality rate of chronic diseases, the probability of premature death of chronic diseases were analyzed. The standardization rate was calculated six times in 2010. Population composition of the census. The Joinpoint Regression Program 4.2 software was used for calculating annual percent change (APC) and its statistical test results. ResultsFrom 2011 to 2018, there were 231 724 chronic disease deaths in Taizhou City, with a mortality rate of 486.52/105 and a standardized mortality rate of 381.55/105. The proportion of chronic disease deaths to total deaths was 79.89%, of which males were higher than females and rural areas were higher than urban areas.From 2011 to 2018, the standardized mortality and early death probability of cardiovascular and cerebrovascular diseases, malignant tumors and chronic respiratory diseases in Taizhou showed a downward trend (P<0.05), the standardized mortality of diabetes (P=0.46) and the early death probability (P=0.22) did not decline, and the mortality of all age groups of the above four types of chronic diseases in rural areas was higher than that in urban areas. The mortality of the four types of chronic diseases from high to low are cardiovascular and cerebrovascular diseases, malignant tumors, chronic respiratory diseases and diabetes, and the mortality tends to increase with age. From 2011 to 2018, the probability of premature death from four types of chronic diseases in Taizhou City showed a downward trend, from 13.49% in 2011 to 10.49% in 2018, with an average annual decrease of 2.97%. The difference was statistically significant (t=‒5.83,P<0.05). ConclusionChronic disease death is the main cause of death in Taizhou City. In order to reduce the mortality rate of chronic diseases, effective prevention and control measures for chronic diseases should be carried out, especially the prevention and control of diabetes and male chronic diseases.