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Impact of mechanical ventilation on the daily costs of ICU care: a systematic review and meta regression.


ABSTRACT: The impact of mechanical ventilation on the daily costs of intensive care unit (ICU) care is largely unknown. We thus conducted a systematic search for studies measuring the daily costs of ICU stays for general populations of adults (age ?18 years) and the added costs of mechanical ventilation. The relative increase in the daily costs was estimated using random effects meta regression. The results of the analyses were applied to a recent study calculating the excess length-of-stay associated with ICU-acquired (ventilator-associated) pneumonia, a major complication of mechanical ventilation. The search identified five eligible studies including a total of 54 766 patients and ~238 037 patient days in the ICU. Overall, mechanical ventilation was associated with a 25.8% (95% CI 4.7%-51.2%) increase in the daily costs of ICU care. A combination of these estimates with standardised unit costs results in approximate daily costs of a single ventilated ICU day of €1654 and €1580 in France and Germany, respectively. Mechanical ventilation is a major driver of ICU costs and should be taken into account when measuring the financial burden of adverse events in ICU settings.

SUBMITTER: Kaier K 

PROVIDER: S-EPMC7003623 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Impact of mechanical ventilation on the daily costs of ICU care: a systematic review and meta regression.

Kaier Klaus K   Heister Thomas T   Motschall Edith E   Hehn Philip P   Bluhmki Tobias T   Wolkewitz Martin M  

Epidemiology and infection 20191205


The impact of mechanical ventilation on the daily costs of intensive care unit (ICU) care is largely unknown. We thus conducted a systematic search for studies measuring the daily costs of ICU stays for general populations of adults (age ≥18 years) and the added costs of mechanical ventilation. The relative increase in the daily costs was estimated using random effects meta regression. The results of the analyses were applied to a recent study calculating the excess length-of-stay associated wit  ...[more]

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