A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study
Introduction: The Acute Physiology and Chronic Health Evaluation (APACHE) II score is widely used in the intensive care unit (ICU) as a scoring system for research and clinical audit purposes. Physiological data for calculation of the APACHE II score are derived from the worst values in the first 24...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
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BIOMED CENTRAL LTD
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/79453 |
| _version_ | 1848764053655126016 |
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| author | Ho, K.M. Dobb, G.J. Knuiman, M. Finn, Judith Lee, K.Y. Webb, S.A.R. |
| author_facet | Ho, K.M. Dobb, G.J. Knuiman, M. Finn, Judith Lee, K.Y. Webb, S.A.R. |
| author_sort | Ho, K.M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Introduction: The Acute Physiology and Chronic Health Evaluation (APACHE) II score is widely used in the intensive care unit (ICU) as a scoring system for research and clinical audit purposes. Physiological data for calculation of the APACHE II score are derived from the worst values in the first 24 hours after admission to the ICU. The collection of physiological data on admission only is probably logistically easier, and this approach is used by some ICUs. This study compares the performance of APACHE II scores calculated using admission data with those obtained from the worst values in the first 24 hours. Materials and Methods: This was a retrospective cohort study using prospectively collected data from a tertiary ICU. There were no missing physiological data and follow-up for mortality was available for all patients in the database. The admission and the worst 24-hour physiological variables were used to generate the admission APACHE II score and the worst 24-hour APACHE II score, and the corresponding predicted mortality, respectively. Results: There were 11,107 noncardiac surgery ICU admissions during 11 years from 1 January 1993 to 31 December 2003. The mean admission and the worst 24-hour APACHE II score were 12.7 and 15.4, and the derived predicted mortality estimates were 15.5% and 19.3%, respectively. The actual hospital mortality was 16.3%. The overall discrimination ability, as measured by the area under the receiver operating characteristic curve, of the admission APACHE II model (83.8%, 95% confidence interval = 82.9-84.7) and the worst 24-hour APACHE II model (84.6%, 95% confidence interval = 83.7-85.5) was not significantly different (P = 1.00). Conclusion: Substitution of the worst 24-hour physiological variables with the admission physiological variables to calculate the admission APACHE II score maintains the overall discrimination ability of the traditional APACHE II model. The admission APACHE II model represents a potential alternative model to the worst 24-hour APACHE II model in critically ill nontrauma patients. © 2005 Ho et al.; licensee BioMed Central Ltd. |
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| format | Journal Article |
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| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:13:14Z |
| publishDate | 2005 |
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| spelling | curtin-20.500.11937-794532020-05-27T07:04:54Z A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study Ho, K.M. Dobb, G.J. Knuiman, M. Finn, Judith Lee, K.Y. Webb, S.A.R. Science & Technology Life Sciences & Biomedicine Critical Care Medicine General & Internal Medicine INTENSIVE-CARE-UNIT APACHE-II SCORING SYSTEMS SEVERITY MODELS MULTICENTER PERFORMANCE DATABASE ADULTS Introduction: The Acute Physiology and Chronic Health Evaluation (APACHE) II score is widely used in the intensive care unit (ICU) as a scoring system for research and clinical audit purposes. Physiological data for calculation of the APACHE II score are derived from the worst values in the first 24 hours after admission to the ICU. The collection of physiological data on admission only is probably logistically easier, and this approach is used by some ICUs. This study compares the performance of APACHE II scores calculated using admission data with those obtained from the worst values in the first 24 hours. Materials and Methods: This was a retrospective cohort study using prospectively collected data from a tertiary ICU. There were no missing physiological data and follow-up for mortality was available for all patients in the database. The admission and the worst 24-hour physiological variables were used to generate the admission APACHE II score and the worst 24-hour APACHE II score, and the corresponding predicted mortality, respectively. Results: There were 11,107 noncardiac surgery ICU admissions during 11 years from 1 January 1993 to 31 December 2003. The mean admission and the worst 24-hour APACHE II score were 12.7 and 15.4, and the derived predicted mortality estimates were 15.5% and 19.3%, respectively. The actual hospital mortality was 16.3%. The overall discrimination ability, as measured by the area under the receiver operating characteristic curve, of the admission APACHE II model (83.8%, 95% confidence interval = 82.9-84.7) and the worst 24-hour APACHE II model (84.6%, 95% confidence interval = 83.7-85.5) was not significantly different (P = 1.00). Conclusion: Substitution of the worst 24-hour physiological variables with the admission physiological variables to calculate the admission APACHE II score maintains the overall discrimination ability of the traditional APACHE II model. The admission APACHE II model represents a potential alternative model to the worst 24-hour APACHE II model in critically ill nontrauma patients. © 2005 Ho et al.; licensee BioMed Central Ltd. 2005 Journal Article http://hdl.handle.net/20.500.11937/79453 10.1186/cc3913 English http://creativecommons.org/licenses/by/2.0 BIOMED CENTRAL LTD fulltext |
| spellingShingle | Science & Technology Life Sciences & Biomedicine Critical Care Medicine General & Internal Medicine INTENSIVE-CARE-UNIT APACHE-II SCORING SYSTEMS SEVERITY MODELS MULTICENTER PERFORMANCE DATABASE ADULTS Ho, K.M. Dobb, G.J. Knuiman, M. Finn, Judith Lee, K.Y. Webb, S.A.R. A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title | A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title_full | A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title_fullStr | A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title_full_unstemmed | A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title_short | A comparison of admission and worst 24-hour Acute Physiology and Chronic Health Evaluation II scores in predicting hospital mortality: A retrospective cohort study |
| title_sort | comparison of admission and worst 24-hour acute physiology and chronic health evaluation ii scores in predicting hospital mortality: a retrospective cohort study |
| topic | Science & Technology Life Sciences & Biomedicine Critical Care Medicine General & Internal Medicine INTENSIVE-CARE-UNIT APACHE-II SCORING SYSTEMS SEVERITY MODELS MULTICENTER PERFORMANCE DATABASE ADULTS |
| url | http://hdl.handle.net/20.500.11937/79453 |