Kosin Med J.  2019 Jun;34(1):15-23. 10.7180/kmj.2019.34.1.15.

Prognostic Value of Procalcitonin in Pneumonia among Patients Admitted to Intensive Care Unit.

Affiliations
  • 1Department of Pulmonology, Asan Choongmu Hospital, Asan, Korea.
  • 2Department of Cardiology, Daegu Catholic University Medical Center, Daegu, Korea.
  • 3Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea. inspirit26@paik.ac.kr

Abstract


OBJECTIVES
Pneumonia is one of the leading causes of death in the intensive care unit (ICU). Many biomarkers for predicted prognosis have been suggested; among these, procalcitonin (PCT) is known to increase in cases of bacterial infection. However, there have been many debates regarding whether PCT is an appropriate prognostic marker for pneumonia. Therefore, we investigated whether PCT can serve as a biomarker for pneumonia, and compared it with CURB-65, which is a known tool for predicting the prognosis of pneumonia.
METHODS
Levels of PCT and CURB-65 scores were compared between 30-day non-survival (n = 30) and survival (n = 101) patients. Relationships between PCT and CURB-65 were determined by using linear regression analysis, as well as by using receiver operating characteristic (ROC) curve analysis and calculation of the area under the curve (AUC). High and low PCT groups were compared.
RESULTS
High PCT and high CURB-65 score were positively associated with 30-day mortality. For the prediction of 30-day mortality, initial PCT and CURB-65 exhibited AUCs of 0.63 and 0.66; these were not significantly different (P = 0.132). We found that the high PCT group had a higher rate of initial treatment failure (91%, P = 0.004).
CONCLUSIONS
Initial PCT can be a prognostic biomarker for mortality in severe pneumonia, similar to the CURB-65 score. Initial high PCT was positively associated with initial treatment failure.

Keyword

CURB-65; Mortality; Pneumonia; Procalcitonin; Prognosis

MeSH Terms

Area Under Curve
Bacterial Infections
Biomarkers
Cause of Death
Critical Care*
Humans
Intensive Care Units*
Linear Models
Mortality
Pneumonia*
Prognosis
ROC Curve
Treatment Failure
Biomarkers

Figure

  • Fig. 1 Selection process for patients of pneumonia ICU, intensive care unit; CAP, community acquired pneumonia; LTCH, long term care hospital

  • Fig. 2 Area under the curve (AUC) of procalcitonin and CURB-65 is greater than 0.5, with no significant difference. ROC, receiver operating characteristic


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