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Cost minimization in the Intensive Care Unit:

the added value of procalcitonin

M.M.A. Kip

1

, G.C.M. Kusters

2,3

, L.M.G. Steuten

1,2

*

1

PANAXEA b.v., Enschede, The Netherlands,

2

Department of Health Technology and Services

Research (HTSR), University of Twente, Enschede, The Netherlands,

3

Laboratory for Clinical

Chemistry and Haematology, Jeroen Bosch Hospital, ‘s-Hertogenbosch, The Netherlands.

*Corresponding author: tel: +31 53 4895385, email: l.m.g.steuten@utwente.nl

Diagnosing patients with sepsis remains challenging due to often nonspecific presentation. Use of antibiotics to fight sepsis has led to great reductions in mortality and morbidity rates.

 Raises the problem of antibiotic overuse.

Implementation of procalcitonin (PCT):

• Laboratory marker to guide initiation and duration of antibiotic therapy in septic ICU patients. • Potentially reduces duration of hospital stay.

• PCT-guided antibiotic treatment is safe and may improve clinical outcome.

 High cost of PCT measurement compared to other laboratory assays remains an important barrier. Hypothesis:

PCT is not cost-effective in ICU patients with sepsis, compared to current practice.

A health economic model was developed, investigating the costs and effects of PCT implementation in ICU patients with sepsis:

• Costs were obtained from published sources, including cost manual by Hakkaart-van Roijen (2010) and Dutch Healthcare Authority (NZA).

• Effectiveness data were obtained from a systematic literature review plus expert opinions and include: o Length of hospital stay

o Duration of dialysis and mechanical ventilation o Duration of antibiotics prescription

o Number of blood cultures, PCT measurements and other laboratory analyses performed.

Additional costs brought by PCT measurements are offset by downstream cost savings in hospitalization days, antibiotic use and costs of blood cultures, without compromising patient outcomes.

This finding is highly important given the increase in antibiotic resistance.

Implementation of PCT can reduce hospital spending by circa € 3,800 per patient, i.e. savings of 11% (table 1).

Input data from a specific Dutch general hospital showed savings of circa € 4,200 per patient (12%, data not shown).

Savings are mainly due to:

• 11% shorter hospital length of stay

• 22% reduced duration of antibiotic treatment • 37% decrease in blood cultures performed.

Sensitivity analyses confirmed the model outcome to be robust against changes in model inputs.

Cost parameter Without PCT With PCT Difference

Stay on regular ward € 3,640 € 3,073 € -568

Stay on ICU € 24,099 € 22,046 € -2,053 Antibiotics € 1,267 € 983 € -284 Mechanical ventilation € 2,975 € 2,559 € -415 Dialysis € 232 € 232 € 0 Blood cultures € 1,379 € 863 € -517 PCT measurements € - € 75 € 75

Other laboratory analyses € 521 € 467 € -55

Total € 34,113 € 30,297 € -3,816

Introduction

Methods

Results

Conclusion

Table 1: Effect of implementation of PCT on the cost parameters included in the model.

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