scholarly journals The Association between Dynamic Changes in Serum Presepsin Levels and Mortality in Immunocompromised Patients with Sepsis: A Prospective Cohort Study

Diagnostics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 60
Author(s):  
Jongmin Lee ◽  
Seohyun Kim ◽  
Kyung Hoon Kim ◽  
Na Ri Jeong ◽  
Seok Chan Kim ◽  
...  

Presepsin is a subtype of soluble CD14 that is increased in the blood of septic patients. We investigated the role of dynamic changes in serum presepsin levels in critically ill, immunocompromised patients with sepsis. This is a prospective cohort study that included 119 adult patients admitted to the intensive care unit (ICU). Presepsin level was measured on day 1 and day 3 after ICU admission. The primary outcome was in-hospital mortality. In immunocompromised patients, presepsin levels on day 1 were higher in patients with sepsis than those in patients without sepsis. The area under the curve (AUC) of presepsin for diagnosing sepsis in immunocompromised patients was 0.87, which was comparable with that of procalcitonin (AUC, 0.892). Presepsin levels on day 3 were higher in patients who died in the hospital than in those who survived. In immunocompromised patients who died in the hospital, presepsin levels on day 3 were significantly higher than those on day 1. In the multivariate analysis, ΔPresepsin+ alone was independently correlated with in-hospital mortality in immunocompromised patients. These findings suggest that dynamic changes in presepsin levels between day 1 and day 3 are associated with in-hospital mortality in patients with sepsis, especially in immunocompromised patients.

2020 ◽  
Author(s):  
Jongmin Lee ◽  
Seo Hyun Kim ◽  
Kyung Hoon Kim ◽  
Na Ri Jeong ◽  
Seok Chan Kim ◽  
...  

Abstract Background: Presepsin is a subtype of soluble CD14 that is increased in the blood of septic patients. We investigated the role of dynamic changes in serum presepsin levels in critically ill, immunocompromised patients with sepsis.Methods: This is a prospective cohort study that included 119 adult patients who were admitted to the intensive care unit (ICU) between March 2019 and June 2020. Sepsis and septic shock were defined as Sepsis-3. Patients were classified into one of the following diagnostic groups: no sepsis, sepsis, and septic shock. Presepsin level was measured on day 1 and day 3 after ICU admission. The primary outcome was in-hospital mortality.Results: Of the 119 patients, sepsis was diagnosed in 40 patients (33.6%) and septic shock was diagnosed in 60 (50.4%) patients. The Simplified Acute Physiology Score (SAPS) 3 and Sequential Organ Failure Assessment score on day 1 were 75.5 ± 14.9 and 9.0 (6.5–11.5), respectively, and the overall hospital mortality was 44.5%. In 61 immunocompromised patients, presepsin levels on day 1 were higher in patients with sepsis than those in patients without sepsis (1203.0 [773.0–2484.0] vs. 753.0 [603.5–1092.0] ng/ml; P = 0.004). The area under the curve (AUC) of presepsin for diagnosing sepsis in immunocompromised patients was 0.87, which was comparable with that of procalcitonin (AUC, 0.892). Presepsin levels on day 3 were higher in patients who died in the hospital than in those who survived (1965.0 [1149.0–3423.0] vs. 933.0 [638.0–1571.0]; P = 0.001). In immunocompromised patients who died in the hospital, presepsin levels on day 3 were significantly higher than those on day 1 (P = 0.018). In the multivariate analysis, ΔPresepsin+ (ΔPresepsin concentrations [day3 – day1] > 0) alone was independently correlated with in-hospital mortality in immunocompromised patients (odds ratio, 6.22; 95% confidence interval, 1.33–29.06; P = 0.020).Conclusion: These findings suggest that dynamic changes in presepsin levels between day 1 and day 3 are associated with in-hospital mortality in patients with sepsis, especially in immunocompromised patients.


BMJ ◽  
2005 ◽  
Vol 330 (7501) ◽  
pp. 1183 ◽  
Author(s):  
Max Reijman ◽  
J M W Hazes ◽  
H.A.P Pols ◽  
R M D Bernsen ◽  
B W Koes ◽  
...  

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Parvaneh Mirabi ◽  
Mohammad Javad Chaichi ◽  
Sedighe Esmaeilzadeh ◽  
Seyed Gholam Ali Jorsaraei ◽  
Ali Bijani ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. 27-31 ◽  
Author(s):  
K. Alok Pathak ◽  
Andrew L. Goertzen ◽  
Richard W. Nason ◽  
Thomas Klonisch ◽  
William D. Leslie

2017 ◽  
Vol 210 (6) ◽  
pp. 429-436 ◽  
Author(s):  
Leah Quinlivan ◽  
Jayne Cooper ◽  
Declan Meehan ◽  
Damien Longson ◽  
John Potokar ◽  
...  

BackgroundScales are widely used in psychiatric assessments following self-harm. Robust evidence for their diagnostic use is lacking.AimsTo evaluate the performance of risk scales (Manchester Self-Harm Rule, ReACT Self-Harm Rule, SAD PERSONS scale, Modified SAD PERSONS scale, Barratt Impulsiveness Scale); and patient and clinician estimates of risk in identifying patients who repeat self-harm within 6 months.MethodA multisite prospective cohort study was conducted of adults aged 18 years and over referred to liaison psychiatry services following self-harm. Scale a priori cut-offs were evaluated using diagnostic accuracy statistics. The area under the curve (AUC) was used to determine optimal cut-offs and compare global accuracy.ResultsIn total, 483 episodes of self-harm were included in the study. The episode-based 6-month repetition rate was 30% (n = 145). Sensitivity ranged from 1% (95% CI 0–5) for the SAD PERSONS scale, to 97% (95% CI 93–99) for the Manchester Self-Harm Rule. Positive predictive values ranged from 13% (95% CI 2–47) for the Modified SAD PERSONS Scale to 47% (95% CI 41–53) for the clinician assessment of risk. The AUC ranged from 0.55 (95% CI 0.50–0.61) for the SAD PERSONS scale to 0.74 (95% CI 0.69–0.79) for the clinician global scale. The remaining scales performed significantly worse than clinician and patient estimates of risk (P < 0.001).ConclusionsRisk scales following self-harm have limited clinical utility and may waste valuable resources. Most scales performed no better than clinician or patient ratings of risk. Some performed considerably worse. Positive predictive values were modest. In line with national guidelines, risk scales should not be used to determine patient management or predict self-harm.


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