Selker H P, Beshansky J R, Griffith J L, Aufderheide T P, Ballin D S, Bernard S A, Crespo S G, Feldman J A, Fish S S, Gibler W B, Kiez D A, McNutt R A, Moulton A W, Ornato J P, Podrid P J, Pope J H, Salem D N, Sayre M R, Woolard R H
New England Medical Center/Tufts University School of Medicine, Boston, Massachusetts 02111, USA.
Ann Intern Med. 1998 Dec 1;129(11):845-55. doi: 10.7326/0003-4819-129-11_part_1-199812010-00002.
Approximately 6 million U.S. patients present to emergency departments annually with symptoms suggesting acute cardiac ischemia. Triage decisions for these patients are important but remain difficult.
To test whether computerized prediction of the probability of acute ischemia, used with electrocardiography, improves the accuracy of triage decisions.
Controlled clinical trial.
10 hospital emergency departments in the midwestern, southeastern, and northeastern United States.
10689 patients with chest pain or other symptoms suggestive of acute cardiac ischemia.
The probability of acute ischemia predicted by the acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI), either automatically printed or not printed on patients' electrocardiograms.
Emergency department triage to a coronary care unit (CCU), telemetry unit, ward, or home. Other measurements were the bed capacity of the CCU relative to that of the telemetry unit; training or supervision status of the triaging physician; and patient diagnoses and outcomes based on clinical, electrocardiographic, and creatine kinase data.
For patients without cardiac ischemia, in hospitals with high-capacity CCUs and relatively low-capacity cardiac telemetry units, use of ACI-TIPI was associated with a reduction in CCU admissions from 15% to 12%, a change of -16% (95% CI, -30% to 0%), and an increase in emergency department discharges to home from 49% to 52%, a change of 6% (CI, 0% to 14%; overall P=0.09). Across all hospitals, for patients evaluated by unsupervised residents, use of ACI-TIPI was associated with a reduction in CCU admissions from 14% to 10%, a change of -32% (CI, -55% to 3%); a reduction in telemetry unit admissions from 39% to 31%, a change of -20% (CI, -34% to -2%); and an increase in discharges to home from 45% to 56%, a change of 25% (CI, 8% to 45%; overall P=0.008). Among patients with stable angina, in hospitals with high-capacity CCUs, use of ACI-TIPI was associated with a reduction in CCU admissions from 26% to 13%, a change of -50% (CI, -70% to -17%), and an increase in discharges to home from 20% to 22%, a change of 10% (CI, -29% to 71%; overall P=0.02). At hospitals with high-capacity telemetry units, use of ACI-TIPI was associated with a reduction in telemetry unit admissions from 68% to 59%, a change of -14% (CI, -27% to 1%), and an increase in emergency department discharges to home from 10% to 21%, a change of 100% (CI, 22% to 230%; overall P=0.02). Among patients with acute myocardial infarction or unstable angina, use of ACI-TIPI did not change appropriate admission (96%) to the CCU or telemetry unit at hospitals with high-capacity CCUs or telemetry units.
Use of ACI-TIPI was associated with reduced hospitalization among emergency department patients without acute cardiac ischemia. This result varied as expected according to the CCU and cardiac telemetry unit capacities and physician supervision at individual hospitals. Appropriate admission for unstable angina or acute infarction was not affected. If ACI-TIPI is used widely in the United States, its potential incremental impact may be more than 200000 fewer unnecessary hospitalizations and more than 100000 fewer unnecessary CCU admissions.
每年约有600万美国患者因提示急性心肌缺血的症状前往急诊科就诊。对这些患者进行分诊决策很重要,但仍颇具难度。
测试将急性缺血概率的计算机预测结果与心电图结合使用,是否能提高分诊决策的准确性。
对照临床试验。
美国中西部、东南部和东北部的10家医院急诊科。
10689例有胸痛或其他提示急性心肌缺血症状的患者。
使用急性心肌缺血时间不敏感预测工具(ACI-TIPI)预测急性缺血的概率,该结果可自动打印在患者心电图上,也可不打印。
急诊科对冠心病监护病房(CCU)、遥测病房、普通病房或出院回家的分诊情况。其他测量指标包括CCU床位与遥测病房床位的比例;分诊医生的培训或监督情况;以及基于临床、心电图和肌酸激酶数据得出的患者诊断及转归情况。
对于无心肌缺血的患者,在CCU床位多而心脏遥测病房床位相对少的医院,使用ACI-TIPI可使CCU住院率从15%降至12%,变化为-16%(95%CI,-30%至0%),使急诊科出院回家率从49%增至52%,变化为6%(CI,0%至14%;总体P=0.09)。在所有医院中,对于由未接受监督的住院医师评估的患者,使用ACI-TIPI可使CCU住院率从14%降至10%,变化为-32%(CI,-55%至3%);使遥测病房住院率从39%降至31%,变化为-20%(CI,-34%至-2%);使出院回家率从45%增至56%,变化为25%(CI,8%至45%;总体P=0.008)。在稳定型心绞痛患者中,在CCU床位多的医院,使用ACI-TIPI可使CCU住院率从26%降至13%,变化为-50%(CI,-70%至-17%),使出院回家率从20%增至22%,变化为10%(CI,-29%至71%;总体P=0.02)。在遥测病房床位多的医院,使用ACI-TIPI可使遥测病房住院率从68%降至59%,变化为-14%(CI,-27%至1%),使急诊科出院回家率从10%增至21%,变化为100%(CI,22%至230%;总体P=0.02)。在急性心肌梗死或不稳定型心绞痛患者中,在CCU床位多或遥测病房床位多的医院,使用ACI-TIPI并未改变CCU或遥测病房的适当住院率(96%)。
使用ACI-TIPI与急诊科无急性心肌缺血患者的住院率降低相关。根据各医院的CCU和心脏遥测病房床位情况以及医生监督情况,这一结果与预期相符。不稳定型心绞痛或急性心肌梗死的适当住院情况未受影响。如果在美国广泛使用ACI-TIPI,其潜在的增量影响可能是减少超过20万次不必要的住院以及超过10万次不必要的CCU住院。