Physician risk assessment and APACHE scores in cardiac care units

Citation
Gl. Pierpont et Cm. Parenti, Physician risk assessment and APACHE scores in cardiac care units, CLIN CARD, 22(5), 1999, pp. 366-368
Citations number
16
Categorie Soggetti
Cardiovascular & Respiratory Systems
Journal title
CLINICAL CARDIOLOGY
ISSN journal
01609289 → ACNP
Volume
22
Issue
5
Year of publication
1999
Pages
366 - 368
Database
ISI
SICI code
0160-9289(199905)22:5<366:PRAAAS>2.0.ZU;2-5
Abstract
Background: The need to correct outcome data for case mix is well recognize d, but risk assessment for coronary care unit (CCU) patients remains proble matic. Hypothesis: This study determined the feasibility of using physician s' opinions to predict mortality for CCU patients and compared their result s to Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. Methods. A prospective observational study was performed on consecutive pat ients admitted to a university-affiliate Veterans Affairs Medical Center CC U over a 2-month period. Physician assessment of likely mortality during ho spitalization, obtained using an MD Prognosis Score ranging from 1 (best) t o 7 (worst), was compared with APACHE II scores. Results: MD Prognosis Scores were obtained on 122 of the 237 eligible patie nts (51% response rate) and averaged 2.3 +/- 1.4 (mean +/- standard deviati on). APACHE II scores on these patients averaged 9.9 +/- 4.8 (range 2-29) w ith very poor correlation between the two methods (r = 0.3). Of the four pa tients who died, three had MD prognosis scores of 7. None of the survivors had scores of 7 and only three had scores of 6. APACHE II did not predict a high likelihood that any of the patients would die (none with > 90% likeli hood of mortality). Conclusions: APACHE scores are inadequate for cardiac patients. Although ph ysicians can identify CCU patients most likely to die, reliance on physicia n scoring systems is limited by difficulties in obtaining their opinion. A new method of risk assessment for acutely ill cardiac patients is needed if CCU outcomes an to be compared across institutions.