| Title: |
Evaluation of the Modified Acute Physiology and Chronic Health Evaluation Scoring System for Prediction of Mortality in Patients Admitted to an Emergency Department |
| Authors: |
Labaf, A; Zarei, MR; Jalili, M; Talebian, MT; Hoseyni, HS; Mahmodi, M |
| Source: |
Hong Kong Journal of Emergency Medicine ; volume 17, issue 5, page 464-470 ; ISSN 1024-9079 2309-5407 |
| Publisher Information: |
Wiley |
| Publication Year: |
2010 |
| Collection: |
Wiley Online Library (Open Access Articles via Crossref) |
| Description: |
Objective To evaluate the ability of the Modified Acute Physiology and Chronic Health Evaluation (M-APACHE II) scoring system for the prediction of mortality in patients admitted to a tertiary emergency department in Iran. Methods During the study period, all patients aged >12 years who had been admitted to the emergency department of a tertiary hospital in Tehran, Iran were enrolled in the study. Traumatic and poisoned patients and those who died immediately after arriving at the emergency room were excluded. Using the M-APACHE II, risk of mortality was calculated for each patient. Finally, expected and observed mortalities were compared and the accuracy of M-APACHE II for prediction of mortality was determined using receiver operating characteristics (ROC) analysis. Results During the study period, 389 cases including 236 males (60.7%) were enrolled into the study. The mean age of the patients was 60.6±19.4 years (range 14 to 98 years). 117 patients died (30%) while the M-APACHE II predicted 129 deaths. The greatest discrepancy between observed and expected deaths occurred at M-APACHE II scores ≥21. The constructed area under the ROC curve basng on predicted and observed death was 0.938 (95% confidence interval 0.915-0.961). Conclusion M-APACHE II is an accurate scoring system for predicting mortality in patients admitted to the emergency department. However, further studies are needed to confirm our findings. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1177/102490791001700506 |
| Availability: |
http://dx.doi.org/10.1177/102490791001700506; http://journals.sagepub.com/doi/pdf/10.1177/102490791001700506 |
| Rights: |
http://journals.sagepub.com/page/policies/text-and-data-mining-license ; http://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Accession Number: |
edsbas.5DB321AE |
| Database: |
BASE |