TY - JOUR
T1 - Which is more useful in predicting hospital mortality--dichotomised blood test results or actual test values?
T2 - A retrospective study in two hospitals
AU - Mohammed, Mohammed A
AU - Rudge, Gavin
AU - Wood, Gordon
AU - Smith, Gary
AU - Nangalia, Vishal
AU - Prytherch, David
AU - Holder, Roger
AU - Briggs, Jim
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
U2 - 10.1371/journal.pone.0046860
DO - 10.1371/journal.pone.0046860
M3 - Article
C2 - 23077528
SN - 1932-6203
VL - 7
SP - e46860
JO - PLoS ONE
JF - PLoS ONE
IS - 10
ER -