Literature DB >> 2072767

A tool for judging coronary care unit admission appropriateness, valid for both real-time and retrospective use. A time-insensitive predictive instrument (TIPI) for acute cardiac ischemia: a multicenter study.

H P Selker1, J L Griffith, R B D'Agostino.   

Abstract

This study developed and tested a tool to assess the likelihood of patients having acute cardiac ischemia and thus the appropriateness of admitting them to the coronary care unit (CCU). It is valid both for real-time clinical use and for retrospective review: a time-insensitive predictive instrument (TIPI). The authors' earlier acute ischemia predictive instrument, not designed specifically to support retrospective use, could not offer the advantage of a single tool usable by both clinicians and reviewers of care. Over a two-year period, the authors prospectively collected data on 5,773 emergency room patients seen in six New England hospitals for symptoms suggesting acute cardiac ischemia. In the Developmental Phase, based on 3,453 such patients seen during the first year, the authors developed a logistic regression-based TIPI for acute cardiac ischemia. Using seven clinical features reliably ascertainable both in the emergency room setting and by medical record review, the TIPI expressed a patient's probability of having acute ischemia as between 0-100%. In this phase, a risk category system based on the TIPI scale was also devised, which created four similar-sized groups, by cutting at 10%, 25%, and 55%. In the Test Phase, when prospectively tested on the 2,320 emergency room patients seen during the second year, the TIPI showed excellent diagnostic performance. Its receiver-operating characteristic (ROC) curve area of 0.88 was comparable to the original predictive instrument and the ROC curve path suggested performance comparable to physicians as well. Its slope of the relationship between predicted and observed probabilities of having acute ischemia was 1.11 (R2 = 0.97) with a correlation of 0.99 (P less than 0.0001), suggesting excellent calibration of predictions throughout the probability range. For patients who proved to have acute ischemia, the average TIPI probability was 59%, whereas for those without ischemia, the average TIPI value was 21% (P less than 0.0001). This differentiation was maintained even for those given different (including inappropriate) triage to the CCU, ward, or home (P less than 0.0001 for each disposition). When the performance of the four TIPI-based risk groups was prospectively tested on year-two patients, among the 552 patients in the low probability group, only 1.6% had acute cardiac ischemia, including only 0.7% with acute infarctions. Among the 484 patients in the high probability group, 81.6% had acute ischemia, and 53.3% acute myocardial infarctions, suggesting these to be clinically relevant groups for aiding or assessing emergency room triage.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1991        PMID: 2072767     DOI: 10.1097/00005650-199107000-00002

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  21 in total

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2.  Decision aids for triage of patients with chest pain: a systematic review of field evaluation studies.

Authors:  I Colombet; G Chatellier; M C Jaulent; P Degoulet
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4.  Physician electrocardiogram reading in the emergency department--accuracy and effect on triage decisions: findings from a multicenter study.

Authors:  R L Jayes; G C Larsen; J R Beshansky; R B D'Agostino; H P Selker
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5.  Causes of chest pain and symptoms suggestive of acute cardiac ischemia in African-American patients presenting to the emergency department: a multicenter study.

Authors:  C Maynard; J R Beshansky; J L Griffith; H P Selker
Journal:  J Natl Med Assoc       Date:  1997-10       Impact factor: 1.798

Review 6.  Why clinicians are natural bayesians.

Authors:  Christopher J Gill; Lora Sabin; Christopher H Schmid
Journal:  BMJ       Date:  2005-05-07

7.  Use of cardiac biomarker testing in the emergency department.

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8.  Presentations of acute myocardial infarction in men and women.

Authors:  D R Zucker; J L Griffith; J R Beshansky; H P Selker
Journal:  J Gen Intern Med       Date:  1997-02       Impact factor: 5.128

9.  Development and validation of a patient-specific predictive instrument for the need for dose reduction in chemotherapy for breast cancer: a potential decision aid for the use of myeloid growth factors.

Authors:  Panos Savvides; Norma Terrin; John Erban; Harry P Selker
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10.  Impact of the acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI) on the speed of triage decision making for emergency department patients presenting with chest pain: a controlled clinical trial.

Authors:  F P Sarasin; J M Reymond; J L Griffith; J R Beshansky; J A Schifferli; P F Unger; J R Scherrer; H P Selker
Journal:  J Gen Intern Med       Date:  1994-04       Impact factor: 5.128

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