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Health economics<br />

11.4 Economic evaluation of C-reactive protein versus<br />

procalcitonin – analysis undertaken for the 2007 guideline<br />

Fever without localising signs in young children remains a diagnostic problem. There is evidence that<br />

procalcitonin (PCT) may be more effective in terms of sensitivity than commonly used C-reactive<br />

protein (CRP). However, the evidence on diagnostic accuracy is not robust. An economic evaluation<br />

approach was adopted to assess the cost-effectiveness of using different estimates of specificity and<br />

sensitivity of these tests from the published data.<br />

A simple decision-analytic model was constructed which incorporated both the sensitivity and<br />

specificity of each test. Additional correct diagnosis was the outcome used. The model is based on<br />

limited information on PCT in children with fever without apparent source (FWS) and in other<br />

situations PCT may perform better than CRP.<br />

Figure 11.2 is a schematic representation of the decision tree used in the analysis. Before investigations,<br />

febrile children were assumed to have one of two health states: either with no serious<br />

bacterial illness (SBI) or with SBI. After the investigations, febrile children were assigned a true<br />

positive or negative diagnosis, or a false positive or negative diagnosis. The model covers only the<br />

initial diagnosis and not the cost of treatment of SBI. The term SBI for this guideline includes seven<br />

potential types of serious infection. Each type of infection would require a different pathway. The<br />

description of this pathway and its potential outcomes was beyond the scope of this guideline.<br />

Figure 11.2 Cost-effectiveness of PCT versus CRP decision tree<br />

Methods<br />

Clinical effectiveness<br />

‘Correct diagnosis’ was identified as the outcome of the analysis. This can take into account both<br />

sensitivity and specificity in order to derive the precise levels of correctly diagnosed cases for each<br />

type of investigation.<br />

Correct diagnosis = true positive + true negative diagnosis<br />

Data used in the model<br />

Diagnostic accuracy<br />

Estimates of the diagnostic accuracy are taken from the systematic review of the clinical evidence<br />

presented in this guideline. Specifically, there are two studies which provide clinical effectiveness for<br />

the model. Table 11.7 summarises the data on diagnostic accuracy of PCT and CRP presented in<br />

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