Survival after sudden cardiac arrest in hospital. 1989

Y Takeda, and J Mifune, and K Taga, and S Hifumi, and Y Takahashi, and S Yamashita, and T Murakami, and T Tanaka
Division of Internal Medicine, Fukui Cardiovascular Center, Japan.

Although there are many reports on sudden cardiac arrest occurring outside the hospital, little is known about the precise prognostic factors that determine the outcome after cardiopulmonary resuscitation. Clinical information before and immediately after sudden cardiac arrest is frequently incomplete because the event occurs outside the hospital. We studied 90 consecutive patients with sudden and unexpected cardiac arrest who were resuscitated in the general ward of our hospital. Twenty-five (28%) were discharged from the hospital. Multivariate analysis revealed that the promptness of initiation of CPR, age, severity of cardiac dysfunction, time and the type of arrhythmia are of significance in relation to survival. To evaluate long-term survival after hospital cardiac arrest, we analyzed long-term follow-up data accumulated during a 16 year period. In the group of 25 patients in our study, there have been a total of 10 deaths (40%). Five of the 10 deaths resulted from recurrent cardiac arrest and 1 was a noncardiac death. There was a high rate of recurrence of cardiac arrest in the first year following resuscitation, especially among the cardiomyopathy patients.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D012008 Recurrence The return of a sign, symptom, or disease after a remission. Recrudescence,Relapse,Recrudescences,Recurrences,Relapses
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D012151 Resuscitation The restoration to life or consciousness of one apparently dead. (Dorland, 27th ed) Resuscitations
D005260 Female Females
D005500 Follow-Up Studies Studies in which individuals or populations are followed to assess the outcome of exposures, procedures, or effects of a characteristic, e.g., occurrence of disease. Followup Studies,Follow Up Studies,Follow-Up Study,Followup Study,Studies, Follow-Up,Studies, Followup,Study, Follow-Up,Study, Followup
D006321 Heart The hollow, muscular organ that maintains the circulation of the blood. Hearts
D006323 Heart Arrest Cessation of heart beat or MYOCARDIAL CONTRACTION. If it is treated within a few minutes, heart arrest can be reversed in most cases to normal cardiac rhythm and effective circulation. Asystole,Cardiac Arrest,Cardiopulmonary Arrest,Arrest, Cardiac,Arrest, Cardiopulmonary,Arrest, Heart,Asystoles

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