Literature DB >> 27623169

Serum Procalcitonin: An Independent Predictor of Clinical Outcome in Health Care-Associated Pneumonia.

Dae Young Hong1, Sang O Park, Jong Won Kim, Kyeong Ryong Lee, Kwang Je Baek, Ji Ung Na, Pil Cho Choi, Young Hwan Lee.   

Abstract

BACKGROUND: Early prediction of the clinical outcomes for health care-associated pneumonia (HCAP) patients is challenging.
OBJECTIVES: This is the first study to evaluate procalcitonin (PCT) as a predictor of outcomes in HCAP patients.
METHODS: We conducted an observational study based on data for HCAP patients prospectively collected between 2011 and 2014. Outcome variables were intensive care unit (ICU) admission and 30-day mortality. PCT was categorized into three groups: <0.5, 0.5-2.0, and >2.0 ng/ml. We analysed multiple variables including age, sex, comorbidities, clinical findings, and PCT group to assess their association with outcomes.
RESULTS: Of 245 HCAP patients, 99 (40.4%) were admitted to an ICU and 44 (18.0%) died within 30 days. The median PCT level was significantly higher in the ICU admission (1.19 vs. 0.4 ng/ml; p < 0.001) and 30-day mortality (3.3 vs. 0.4 ng/ml; p < 0.001) groups. In multivariate analysis, high PCT (>2.0 ng/ml) was strongly associated with ICU admission [odds ratio 3.734, 95% confidence interval (CI) 1.753-7.951; p = 0.001] and 30-day mortality (hazard ratio 2.254, 95% CI 1.250-5.340; p = 0.035). In receiver operating characteristic analysis, PCT had a poor discrimination power regarding ICU admission [0.695 of the area under the curve (AUC)] and a fair discrimination power regarding 30-day mortality in HCAP patients (0.768 of the AUC).
CONCLUSIONS: High PCT on admission was strongly associated with ICU admission and 30-day mortality in HCAP patients. However, application of PCT alone seems to be limited to predicting outcomes.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID: 27623169     DOI: 10.1159/000449005

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  5 in total

Review 1.  Procalcitonin: Where Are We Now?

Authors:  Bachar Hamade; David T Huang
Journal:  Crit Care Clin       Date:  2019-10-21       Impact factor: 3.598

2.  High pneumococcal DNA load, procalcitonin and suPAR levels correlate to severe disease development in patients with pneumococcal pneumonia.

Authors:  A J M Loonen; C Kesarsing; R Kusters; M Hilbink; P C Wever; A J C van den Brule
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-03-29       Impact factor: 3.267

3.  Procalcitonin is not an independent predictor of 30-day mortality, albeit predicts pneumonia severity in patients with pneumonia acquired outside the hospital.

Authors:  Takanori Akagi; Nobuhiko Nagata; Hiroyuki Miyazaki; Taishi Harada; Satoshi Takeda; Yuji Yoshida; Kenji Wada; Masaki Fujita; Kentaro Watanabe
Journal:  BMC Geriatr       Date:  2019-01-07       Impact factor: 3.921

4.  Performance of presepsin and procalcitonin predicting culture-proven bacterial infection and 28-day mortality: A cross sectional study.

Authors:  Jiho Park; Ji Hyun Yoon; Hyun Kyun Ki; Jae-Hoon Ko; Hee-Won Moon
Journal:  Front Med (Lausanne)       Date:  2022-08-22

5.  Procalcitonin Value Is an Early Prognostic Factor Related to Mortality in Admission to Pediatric Intensive Care Unit.

Authors:  Fatih Aygun
Journal:  Crit Care Res Pract       Date:  2018-12-24
  5 in total

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