Binary logistic regression analysis of the factors influencing the efficacy of pre-hospital CPR
- Author:
- No author available
- Journal Title:
- CHINESE JOURNAL OF EMERGENCY MEDICINE
- Issue:
- 1
- DOI:
- 10.3760/cma.j.issn.1671-0282.2010.01.006
- Key Word:
- 院前急救;心搏骤停;心肺复苏;Logistic回归;Emergency service,out of hospital;Cardiac arrest;Cardiopulmonary resuscitation;Binary logistic regression
Abstract： Objective To investigate the independent factors influencing the efficacy of pre-hospital CPR effect. Method The data base with 1376 cases was set up with EpiData software by means of questionnaires and the information was provided by the survivals from cardiopulmonary arrest( CA)saved with cardiopulmonary resuscitation(CPR), and the data were analyzed with SPSS 13.0 software to carry out binary logistic regression. Through single factor analysis, the factors with emerged statistical significance were chosen as variances. Results With regard to the restoration of spontaneous circulation(ROSC), the rescue did by the first witness was the protective factor(PF)( OR = 2.21, P = 0.001, 95.0% CI=1.356-3.602); the male was the risk factor(RF) contrasted with the female( OR = 0. 515, P =0. 006, 95.0%0 CI = 0.320 - 0. 26) ; ages between 20 and 29 years old had higher likelihood of ROSC than group ≥81 years old( OR = 3.241, P = 0.026, 95.0%CI = 1.146 -9.138); the length of CA time before CPR was RF(OR = 0.913, P = 0.000, 95.0%CI = 0.887-0.948);ventricular fibrillation(VF) was PF compared with asystole( OR = 5.092, P = 0.000, 95.0%CI=2.927 -8.861); electric shock was PF(OR = 3.384, P = 0.000, 95.0%CI = 2.033 - 5.635); epinephrine dosage 0 - 4 mg had higher likelihood of ROSC than > 5 nag dosage( OR = 3. 255, P = 0. 001, 95.0% CI = 1. 606 -6.597). In respect of probability about victims at the tittle reached hospital alive, ages of 2- 12 and 13 - 19 years old had higher rations than ≥81 years old( OR = 12.818, P = 0.029, 95.0% CI = 1.299 - 126.508)( OR = 10.505, P = 0.036, 95.0% CI = 1.161-95.058); the length of CA time before CPR was RF(OR =0.862, P = 0.000, 95.0%CI = 0.821-0.906); VF was PF compared with asystole(OR = 7.330, P =0.000, 95.0%CI = 3.962 - 13.560). Conclusions ECG change before CPR, rescue by the first witness,electric shock, the length of CA time before CPR, epinephrine dosage, gender and age were independent influencing factors of pre-hospital CPR for the emergency of ROSC. Age, the length of CA time before CPR and ECG before CPR were influencing factors of pre-hospital CPR for patients at the time transferred to hospital alive.
- [1]梁实,贾清旺,江捍平,等.深圳市急救死亡病例普查的设计、组织与展开[J].2007,(7).
- [2]梁实,江捍平,贾清旺,等.深圳市2002年院前死亡病例普查[J].2004,(11).
- [3]梁实,江捍平,贾清旺,等.深圳市2002年急诊科急救死亡病例调查分析[J].2004,(10).
- [4]梁实,张文武,余益民,等.深圳市院前和急诊科心肺复苏单因素分析[J].2008,(5).
- [5]梁实,江捍平,贾清旺,等.深圳市2002年急诊住院死亡病例调查[J].2004,(12).
- [6]Kuramoto N,Kubota Y,Morimoto T.Public perception of and willingness to perform bystander CPR in Japan.[J].2008,79(3).
- [7]Niemann JT,Youngquist ST,Kaji AH.Beta-blocker use and the changing epidemiology of out-of-hospital cardiac arrest rhythms.[J].2008,76(3).
- [8]Spaite DW,Stiell IG,Bobrow BJ.Effect of transport interval on out-of-hospital cardiac arrest survival in the OPALS study: implications for triaging patients to specialized cardiac arrest centers.[J].2009,54(2).
- [9]Kuisma M,Vayrynen T,Maatta T,etc.Who survives from out-of-hospital pulseless electrical activity?[J].2008,76(2).
- [10]Lo BM,Quinn SM,Callaway CW,etc.Rescue shock outcomes during out-of-hospital cardiac arrest.[J].2007,75(3).
- [11]Callaway CW,Hostler D,Rittenberger JC,etc.Increased chest compression to ventilation ratio improves delivery of CPR.[J].2007,74(3).
- [12]Cooper S,Janghorbani M,Cooper G.A decade of in-hospital resuscitation: outcomes and prediction of survival?[J].2006,68(2).
- [13]Cotton C,Conway J,Baker PW.Defibrillation or cardiopulmonary resuscitation first for patients with out-of-hospital cardiac arrests found by paramedics to be in ventricular fibrillation? A randomised control trial.[J].2008,79(3).
- [14]Verbeek PR,Allan KS,Morrison LJ,etc.Derivation and evaluation of a termination of resuscitation clinical prediction rule for advanced life support providers.[J].2007,74(2).