Logistic Regression Analysis on Factors affecting Cardiopulmonary and Cerebral Resuscitation
- VernacularTitle:影响心肺脑复苏因素的Logistic回归分析
- Author:
Xiehui CHEN
;
Xiaojun CHEN
;
Wei WANG
- Publication Type:Journal Article
- Keywords:
Cardiopulmonary and cerebral resuscitation;
Cardiac arrest;
Prognosis;
Logistic regression analysis
- From:
Journal of Chinese Physician
2001;0(02):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore factors affecting cardiopulmonary and cerebral resuscitation in patients with cardiac arrest. Methods Logistic regression analysis was applied to analyze the factors affecting the survival rate of patients with cardiac arrest after cardiopulmonary resuscitation and return of spontaneous circulation (ROSC). Results 6 factors were related to the patient prognosis, including where the cardiac arrest took place, when the cardiopulmonary resuscitation (CPR) began, intervals of ROSC, pupils size, PRM (postresuscitation MODS) and age. multivariant analysis showed that PRM was the primary factor affecting the patients prognosis. Conclusion The time of taking CPR was the crucial factor affecting CPR success. PRM was an independent factor affecting the survival rate of the patients after ROSC. Rapid and effective resuscitation in the first place is the key to basic life support. More emphasis should be placed on the evaluation, monitoring and protection of the function of important organs after successful CPR.
