Motoi Ugajin1, Yu Matsuura2, Kei Matsuura2, Hiroshi Matsuura2. 1. Department of Respiratory Medicine, Nagoya Tokushukai General Hospital, Kasugai City, Aichi Prefecture, Japan. 2. Department of Internal Medicine, Nagoya Tokushukai General Hospital, Kasugai City, Aichi Prefecture, Japan.
Abstract
BACKGROUND: Presepsin, the soluble CD14 subtype, is known as a sepsis biomarker. However, its clinical significance in pneumonia is unclear. We investigated the effects of plasma presepsin level on clinical outcomes in patients with pneumonia. METHODS: Patients over 18 years old admitted to our hospital due to pneumonia from May 2016 through November 2017 were reviewed using electronic medical records. One hundred and seventy-two patients who underwent measurement of plasma presepsin levels on admission were enrolled. Median age of enrolled patients was 81 years [interquartile range (IQR), 68-86 years]. Pneumonia severity index (PSI) class and A-DROP score on admission were calculated. The receiver operating characteristic (ROC) curve analysis was performed to assess the prognostic value of 30-day mortality and to identify the optimal cut-off value of plasma presepsin level. Correlations between plasma presepsin level and other factors were assessed using the Spearman's test. The Kaplan-Meier survival analysis and the log-rank test were performed to assess the two curves differentiated with the optimal cut-off value of plasma presepsin level. RESULTS: Seventeen patients (9.9%) died within 30 days of admission. The deceased patients had higher value of plasma presepsin on admission (539 pg/mL; IQR, 414-832 pg/mL) compared with the survivors (334 pg/mL; IQR, 223-484 pg/mL) (P=0.001). The areas under ROC curve for predicting 30-day mortality were 0.742 for plasma presepsin, 0.755 for A-DROP score, and 0.774 for PSI class. Plasma presepsin level was not associated with etiology of pneumonia. However, it was moderately correlated with serum creatinine level (rs =0.524, P<0.001). The ROC curve analysis derived 470 pg/mL of plasma presepsin level as the optimal cut-off value for predicting 30-day mortality. The Kaplan-Meier survival analysis showed that patients with plasma presepsin level ≥470 pg/mL on admission had significantly higher 30-day mortality than those with plasma presepsin level <470 pg/mL (P<0.001). Among patients with A-DROP score ≥3, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.013). Similarly, among patients with PSI class ≥4, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.005). CONCLUSIONS: In hospitalized pneumonia patients, plasma presepsin level on admission could be a useful predictor of 30-day mortality and an additional prognostic biomarker on existing severity assessment scales.
BACKGROUND: Presepsin, the soluble CD14 subtype, is known as a sepsis biomarker. However, its clinical significance in pneumonia is unclear. We investigated the effects of plasma presepsin level on clinical outcomes in patients with pneumonia. METHODS: Patients over 18 years old admitted to our hospital due to pneumonia from May 2016 through November 2017 were reviewed using electronic medical records. One hundred and seventy-two patients who underwent measurement of plasma presepsin levels on admission were enrolled. Median age of enrolled patients was 81 years [interquartile range (IQR), 68-86 years]. Pneumonia severity index (PSI) class and A-DROP score on admission were calculated. The receiver operating characteristic (ROC) curve analysis was performed to assess the prognostic value of 30-day mortality and to identify the optimal cut-off value of plasma presepsin level. Correlations between plasma presepsin level and other factors were assessed using the Spearman's test. The Kaplan-Meier survival analysis and the log-rank test were performed to assess the two curves differentiated with the optimal cut-off value of plasma presepsin level. RESULTS: Seventeen patients (9.9%) died within 30 days of admission. The deceased patients had higher value of plasma presepsin on admission (539 pg/mL; IQR, 414-832 pg/mL) compared with the survivors (334 pg/mL; IQR, 223-484 pg/mL) (P=0.001). The areas under ROC curve for predicting 30-day mortality were 0.742 for plasma presepsin, 0.755 for A-DROP score, and 0.774 for PSI class. Plasma presepsin level was not associated with etiology of pneumonia. However, it was moderately correlated with serum creatinine level (rs =0.524, P<0.001). The ROC curve analysis derived 470 pg/mL of plasma presepsin level as the optimal cut-off value for predicting 30-day mortality. The Kaplan-Meier survival analysis showed that patients with plasma presepsin level ≥470 pg/mL on admission had significantly higher 30-day mortality than those with plasma presepsin level <470 pg/mL (P<0.001). Among patients with A-DROP score ≥3, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.013). Similarly, among patients with PSI class ≥4, those with plasma presepsin level ≥470 mg on admission had significantly higher 30-day mortality (P=0.005). CONCLUSIONS: In hospitalized pneumonia patients, plasma presepsin level on admission could be a useful predictor of 30-day mortality and an additional prognostic biomarker on existing severity assessment scales.
Entities:
Keywords:
A-DROP score; Presepsin; mortality; pneumonia; pneumonia severity index (PSI)
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