1.Consciousness Conflict between " Raising Children but not Providing for the Elderly" and " Filial Piety"
Hongying LI ; Hui JIANG ; Min CHEN ; Zhenliang LI
Chinese Medical Ethics 2018;31(7):841-844
" Filial piety" is China's traditional culture.It not only educates the offspring to be grateful and to repay good deeds,but more importantly guides people to take up social responsibilities and obligations.However,there are always contradiction dilemmas between loyalty and filial piety in reality.With the change of the times,this kind of contradiction is getting more prominent.Rethinking the choice of " raising the children but not provi-ding for the elderly" or choosing for helplessness,the causes of which include: the development of medical technol-ogy aggravates the contradiction between the ability and the cost of providing for the elderly,the contradiction be-tween the prolongation of the life of the elderly and the limitation of their children's ability to support them; Chi-na's one-child policy for more than 30 years has weakened the support capacity of the offspring; urban develop-ment leads to population migration and challenges family pension; the instability of family structure affects providing for the elderly; social pension is inadequately prepared and so on.To guarantee intergenerational equity and im-prove people's quality of life,it should advocate the scientific view of providing for the elderly,which must respect the elderly's autonomy,improve and promote the assessment and supervision of basic needs such as living will,hospice care,and medical abandonment.Through carrying out relevant research,it should establish a systematic project of good Chinese-style scientific pension and improve the social pension security system.
2.Contributions and new achievements of medical ethics to ethical governance of science and technology
Zhenliang LI ; Hui JIANG ; Hongying LI
Chinese Medical Ethics 2024;37(1):25-31
The release of Guidelines to Strengthen the Governance over Ethics in Science and Technology marked that China's ethical governance system of science and technology has entered a new stage.The research and practice on ethics in science and technology in China are carried out along two approaches.One approach is to derive the rules of specific science and practice from the principles of general ethics.The other is to gradually form ethical governance principles and consensus for a specific type of phenomenon or problem in the process of science and technology,starting from scientific research problems and scientific and technological events and cases.Medical ethics research has also formed the tradition of medical ethics and modern bioethics in this way.In the practice of ethical governance,medical ethics is at the forefront of scientific and technological ethics,forming a"pilot area"for the research and development of scientific and technological ethics,an"explorer"for the institutionalization of ethical review,and a"demonstration area"for scientific and technological ethical governance.The release of ethical governance opinions is not the end of research on medical ethics governance,and medical ethics needs to have new achievements.Firstly,rethinking the theoretical basis and methodology of medical ethics and adhering to the guidance of Marxist theory.Secondly,a rethinking of the two research paths and how they can balance development and support each other.Thirdly,rethinking the relationship between ethics and the rule of law,and continuously improving the level of legalization of ethical governance.
3.Construction of Predictive Model in 9 037 Patients with Stroke
Xiaoxia XIE ; Zhengning YANG ; Zhen YAO ; Shaowei LI ; Ruoxue BAI ; Xu ZHANG ; Lan LI ; Zhenliang HUI ; Jun CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2022;28(21):98-103
ObjectiveTo develop and validate a predictive model to individually predict the risk of patients with stroke in the eICU Collaborative Research Database for early clinical identification and intervention. MethodIndividual patient data (200 859 cases) from a national multicenter cohort study (eICU database) were selected, and the patients with stroke in neurological diseases (9 037 cases) were selected for statistical analysis. The main outcome was hospital mortality. The Glasgow Coma scale (GCS) was used to divide all patients with stroke into stroke in meridian and stroke in viscera (GCS≤14 for stroke in viscera and GCS=15 for stroke in meridian). The patients were then divided into a training set and a test set according to 7∶3, respectively, to evaluate the differences in hospital mortality between the two groups. The multivariate logistic regression was used to analyze the related factors affecting the prognosis of the two groups, and a predictive model was established. Receiver operator characteristic (ROC) curves were used to assess the discrimination of the predictive model. ResultThe predictive model based on 9 037 patients with stroke was established. The predictors of the stroke in meridian (4 475 cases) included pulmonary infection, mechanical ventilation, acute physiology, and chronic health status scoring system Ⅳ (APACHE Ⅳ) score. The predictors of the stroke in viscera (4 562 cases) included anticoagulation therapy (AT), mechanical ventilation, acute physiology, and APACHE Ⅳ score. According to the predictors, the predictive models of the stroke in meridian and the stroke in viscera were constructed, respectively. The areas under the curve (AUC) of ROC of the training set and the test set of the predictive models of the stroke in meridian were 0.845 [95% confidence interval (CI) (0.811, 0.879)] and 0.807 [95% CI (0.751, 0.863)], respectively. The areas under the ROC curve of the training set and test set of the predictive models of the stroke in viscera were 0.799 [95% CI (0.781, 0.817)] and 0.805 [95% CI (0.778, 0.832)], respectively. The AUC of the predictive model of the training set and the test set were both above 0.7. ConclusionThe model established in this study can conveniently, directly, and accurately predict the hospital mortality risk of patients with stroke. Physicians and other healthcare professionals can use this predictive approach to provide early care planning and clinical interventions for patients with stroke during their hospital stay.