CaRdiac Arrest Survival Score (CRASS) - A tool to predict good neurological outcome after out-of-hospital cardiac arrest

被引：62

作者：

Seewald, S. ^{[1
,2
]}

Wnent, J. ^{[1
,2
,3
]}

Lefering, R. ^{[4
]}

Fischer, M. ^{[5
]}

Bohn, A. ^{[6
,7
]}

Jantzen, T. ^{[8
]}

Brenner, S. ^{[9
]}

Masterson, S. ^{[10
,11
]}

Bein, B. ^{[12
]}

Scholz, J. ^{[13
]}

Graesner, J. T. ^{[2
]}

机构：

[1] Univ Hosp Schleswig Holstein, Dept Anesthesiol & Intens Care Med, Campus Kiel,Arnold Heller Str 3,Bldg 12,Bldg 808, D-24105 Kiel, Germany

[2] Univ Hosp Schleswig Holstein, Inst Emergency Med, Campus Kiel,Arnold Heller Str 3,Bldg 808, D-24105 Kiel, Germany

[3] Univ Namibia, Sch Med, Private Bag 13301, Windhoek, Namibia, Germany

[4] Univ Witten Herdecke, Fac Hlth, Inst Res Operat Med, Ostmerheimer Str 200, D-51109 Cologne, Germany

[5] Klin Eichert, Dept Anesthesiol & Intens Care, Eichertstr 3, D-73035 Goppingen, Germany

[6] City Munster Fire Dept, York Ring 25, D-48159 Munster, Germany

[7] Univ Hosp Munster, Dept Anesthesiol Intens Care & Pain Med, Albert Schweitzer Campus 1,Bldg A1,York Ring 25, D-48149 Munster, Germany

[8] Interhosp Transfer Serv Mecklenburg Vorpommern, German Red Cross Parchim, Ventschowerstr 1, D-19067 Cambs, Germany

[9] Univ Hosp Dresden, Dept Anesthesiol & Intens Care Med, Fetscherstr 74, D-01307 Dresden, Germany

[10] St Conals Hosp, Natl Ambulance Serv Lead Strategy & Evaluat, St Eunans Hall, Letterkenny, Co Donegal, Ireland

[11] Natl Univ Ireland Galway, Discipline Gen Practice, Sch Med, Galway F92 XK84, Ireland

[12] Asklepios Klin St Georg, Dept Anesthesiol & Intens Care Med, Lohmuhlenstr 5, D-20099 Hamburg, Germany

[13] Univ Hosp Schleswig Holstein, Arnold Heller Str 3, D-24105 Kiel, Germany

来源：

RESUSCITATION | 2020年 / 146卷

关键词：

German Resuscitation Registry; CaRdiac Arrest Survival Score; Out of hospital cardiac arrest; RESUSCITATION REGISTRY; CARE; COUNCIL;

D O I：

10.1016/j.resuscitation.2019.10.036

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

Aim: The aim of this study was to develop a score to predict the outcome for patients brought to hospital following out-of-hospital cardiac arrest (OHCA). Methods: All patients recorded in the German Resuscitation Registry (GRR) who suffered OHCA 2010-2017, who had ROSC or ongoing CPR at hospital admission were included. The study population was divided into development (2010-2016: 7985) and validation dataset (2017: 1806). Binary logistic regression analysis was used to derive the score. The probability of hospital discharge with good neurological outcome was defined as 1/(1 + e(-x)), where X is the weighted sum of independent variables. Results: The following variables werefoundto have asignificant positive (+)or negative (-) impact:age 61-70 years (-05),71-80(-09),81-90(-1.3) and < = 91 (-2.3); initial PEA (-0.9) and asystole (-1.4); presumable trauma (-1.1); mechanical CPR (-0.3); application of adrenalin > 0 - < 2 mg (-1.1), 2 - < 4 mg (-1.6), 4 - < 6 mg (-2.1), 6 - < 8 mg (-2.5) and > =8 mg (-2.8); pre emergency status without previous disease (+0.5) or minor disease (+0.2); location at nursing home (-0.6), working place/school (+0.7), doctor's office (+0.7) and public place (+03); application of amiodarone (+0-4); hospital admission with ongoing CPR (-1.9) or normotension (+0-4); witnessed arrest (+0-6 ); time from collapse until start CPR 2 - <10 min (-0.3) and > = 10 min (-0-5); duration of CPR <5 min (+0-6). The AUC in the developmentdataset was 0-88 (95%CI 0.87-0.89)andin the validation dataset 0.88 (95%CI 0.86-0.90). Conclusion: The Cardiac Arrest Survival Score (CRASS) represents a tool for calculating the probability of survival with good neurological function for patients brought to hospital following OHCA.

引用

页码：66 / 73

页数：8

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