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Is it possible to predict multidrug-resistant organism colonization and/or infection at ICU admission?

Introduction

We tried to develop a predictive model for patients colonized/infected by any multidrug-resistant organism (MDRO-C/I) at ICU admission based on risk factors easy to obtain (not depending on complex clinical records), being aware that foreseeing MDRO-C/I at ICU admission is key for appropriate empirical treatment and infection control.

Methods

Data were collected prospectively from admission to discharge of 16,950 patients admitted consecutively (at least >24 hours) to 147 Spanish ICUs of the ENVIN (National Surveillance Study of Nosocomial Infections in ICUs) registry, from April to June 2010. To create the predictive model, 11,998 (2/3) patients were used for univariable and multivariable logistic regression model and 4,952 (1/3) for subsequent validation.

Results

With a MDRO prevalence of 2.12% (359 MDROs at ICU admission were detected in 314 patients), 87.58% patients had only one MDRO, meanwhile 12.42% were MDRO-C/I by two or more simultaneously. Risk factors used in the development of the predictive model and independently associated with MDRO-C/I at ICU admission were (relative risk not shown due to space limitation): age 65 to 74, medical or surgical critical patient (especially urgent surgery), admitted from other ICU or long-term facility, immunosuppression and deep postsurgical skin or skin-soft tissue infections. Admitted from the community and female gender emerged as protective factors. Although the predictive model showed good discrimination (AUC-ROC = 0.775 (95% CI, 0.744 to 0.807)), sensitivity was only 67.4%. Validation with the remaining 4,952 patients (1/3) showed an AUC-ROC = 0.712 (95% CI, 0.665 to 0.759) and a P value on the Hosmer-Lemeshow goodness of fit test of 0.855. Even creating a new model, including variables obtained after ICU admission (severity by APACHE score, mechanical ventilation, central venous, arterial or urinary catheter, immunodeficiency, parenteral nutrition, ventricular derivation, extrarenal depuration, non-invasive ventilation, tracheotomy, enteral nutrition and nasogastric tube), prediction capability did not improve (AUC-ROC = 0.801 (95% CI, 0.774 to 0.828), sensitivity 71.4%).

Conclusion

MDRO prediction at ICU admission could not be based merely on clinical-demographic risk factors. Taking into account local particularities and combining risk factors with a rapid laboratory test might be the most effective way forward.

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Correspondence to F Callejo-Torre.

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Callejo-Torre, F., Eiros, J., Ossa-Echeverri, S. et al. Is it possible to predict multidrug-resistant organism colonization and/or infection at ICU admission?. Crit Care 19, P100 (2015). https://doi.org/10.1186/cc14180

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Keywords

  • Predictive Model
  • Enteral Nutrition
  • Multivariable Logistic Regression Model
  • Apache Score
  • Rapid Laboratory