Which Is More Useful in Predicting Hospital Mortality -Dichotomised Blood Test Results or Actual Test Values? A Retrospective Study in Two Hospitals
| Autor: | David Prytherch, Mohammed A Mohammed, Gavin Rudge, Vishal Nangalia, Roger Holder, Jim Briggs, Gordon Wood, Gary B. Smith |
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| Rok vydání: | 2012 |
| Předmět: |
Male
Pediatrics Critical Care and Emergency Medicine Non-Clinical Medicine lcsh:Medicine Biochemistry chemistry.chemical_compound Hospital Mortality lcsh:Science Aged 80 and over Hematologic Tests Multidisciplinary medicine.diagnostic_test Mortality rate Statistics Hematology Middle Aged Clinical Laboratory Sciences Test (assessment) medicine.anatomical_structure Medicine Female Risk assessment Research Article Test Evaluation Adult medicine.medical_specialty Clinical Research Design Biostatistics Risk Assessment Diagnostic Medicine White blood cell Health Sciences medicine Humans Blood test Biology Retrospective Studies Aged Creatinine Health Care Policy Models Statistical Receiver operating characteristic business.industry lcsh:R Computing Health Risk Analysis Retrospective cohort study ROC Curve chemistry Emergency medicine lcsh:Q business Mathematics |
| Zdroj: | PLoS ONE Mohammed, M, Rudge, G, Wood, G, Smith, G, Nangalia, V, Prytherch, D, Holder, R & Briggs, J 2012, ' Which is more useful in predicting hospital mortality-dichotomised blood test results or actual test values? a retrospective study in two hospitals ', PLoS One, vol. 7, no. 10, pp. e46860 . https://doi.org/10.1371/journal.pone.0046860 PLoS ONE, Vol 7, Iss 10, p e46860 (2012) |
| ISSN: | 1932-6203 |
| Popis: | BACKGROUND: Routine blood tests are an integral part of clinical medicine and in interpreting blood test results clinicians have two broad options. (1) Dichotomise the blood tests into normal/abnormal or (2) use the actual values and overlook the reference values. We refer to these as the "binary" and the "non-binary" strategy respectively. We investigate which strategy is better at predicting the risk of death in hospital based on seven routinely undertaken blood tests (albumin, creatinine, haemoglobin, potassium, sodium, urea, and white blood cell count) using tree models to implement the two strategies. METHODOLOGY: A retrospective database study of emergency admissions to an acute hospital during April 2009 to March 2010, involving 10,050 emergency admissions with routine blood tests undertaken within 24 hours of admission. We compared the area under the Receiver Operating Characteristics (ROC) curve for predicting in-hospital mortality using the binary and non-binary strategy. RESULTS: The mortality rate was 6.98% (701/10050). The mean predicted risk of death in those who died was significantly (p-value |
| Databáze: | OpenAIRE |
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