- Research article
- Open Access
- Open Peer Review
Usefulness of presepsin in the diagnosis of sepsis in patients with or without acute kidney injury
© Nakamura et al.; licensee BioMed Central Ltd. 2014
- Received: 21 February 2014
- Accepted: 24 September 2014
- Published: 4 October 2014
Presepsin is useful for differentiating sepsis from non-infection related systemic inflammatory response syndrome. However, there are no studies investigating the usefulness of presepsin in diagnosing sepsis involving patients with acute kidney injury (AKI). The purpose of this study is to determine levels of blood presepsin in patients with or without sepsis and among non-AKI patients or patients with different degrees of AKI severity.
This is a single center retrospective study. 247 patients admitted to the ICU between June 2010 and October 2012 were analyzed for their presepsin levels. We classified the patients into non-AKI and AKI according to the RIFLE (Risk, Injury, Failure, and Loss of kidney function and End-stage kidney disease or simply Loss and ESKD) criteria. We then sub-classified the patients in each group into either non-sepsis or sepsis sub-group and analyzed the accuracy of diagnosing sepsis based on their levels of presepsin.
The number of patients for each group was: non-AKI, 112; under AKI: Risk, 50; Injury, 36; Failure, 42; Loss and ESKD, 7. The levels of presepsin in sepsis groups were significantly higher than that in the non-sepsis group among the non-AKI, Risk and Injury patients (p < 0.0001, p < 0.01, p < 0.01, respectively). However, no significant difference in the level of presepsin between non-sepsis and sepsis groups among patients with Failure. In the receiver operating characteristic (ROC) analysis, the area under the curve (AUC) was 0.784 in the non-AKI group and 0.698 in the AKI comprising Risk, Injury and Failure groups. AUC value for non-AKI was not significantly different from that of AKI (p = 0.200). When 670 pg/mL was used as the cutoff value for presepsin, sensitivity and specificity were 70.3% and 81.3%, respectively. When 864 pg/mL was used as the cutoff value for presepsin, sensitivity and specificity were 71.4% and 63.8%, respectively.
Presepsin level can be a reliable indicator of sepsis not only among non-AKI patients but also patients with less severe forms of AKI. However, it may not be a reliable indicator of sepsis in patients with a more advanced form of AKI.
- Acute kidney injury
- RIFLE criteria
Since the definition of systemic inflammatory response syndrome (SIRS) was proposed in 1991, several clinical trials on sepsis diagnosis and treatment have been conducted using the definition of sepsis given by the American College of Chest Physicians/Society of Critical Care Medicine (ACCP/SCCM) . Many studies have reported that early treatment of sepsis using appropriate antibiotics improved the prognosis and increased the survival rate in severe sepsis or septic shock patients [2–4]. Various biomarkers have been studied for diagnosing sepsis . Currently, procalcitonin (PCT) is used as a marker to diagnose sepsis or severe sepsis. In comparison to other markers that have traditionally been reported, PCT gives a high rate of specificity for sepsis diagnosis . However, the concentration of PCT in the human blood is elevated in various conditions, such as in severe trauma, surgical invasive procedures, and critical burn injury, which leads to SIRS. It is also necessary to be aware of false-positive results . Therefore, more reliable biomarkers for the diagnosis of sepsis are needed. Another marker is interleukin-6 (IL-6), which may be detectable in the early stages of infection and bacteremia [8, 9]. Recently Endo et al.  reported that presepsin is a highly specific marker for diagnosis of bacterial infections in comparison to other sepsis markers (PCT, IL-6). However, the presepsin levels above the cutoff value in patients with chronic renal failure must be interpreted with caution. Additionally, there are no studies investigating the usefulness of presepsin for assessing patient with acute kidney injury (AKI). In this study we attempted to clarify the diagnostic accuracy of sepsis using the presepsin level according to AKI severity of the patients.
The frozen serum was allowed to melt to become liquid at room temperature before presepsin testing. Presepsin concentration in blood was measured with a compact automated immunoanalyzer, PATHFAST®, based on a chemiluminescent enzyme immunoassay (CLEIA) (Mitsubishi Chemical Medience, Japan) [12, 13].
Classification of acute kidney injury
Oliguria and RIFLE were the most frequently used criteria to define AKI. In particular, RIFLE criteria were formulated to make a clearer classification of AKI among patients having renal problems . Therefore, we used RIFLE criteria for AKI diagnosis in this study.
RIFLE criteria 11)
Urine output criteria
Increased serum creatinine × 1.5 or GFR decrease > 25%
Urine output < 0.5 ml/kg/h × 6 hr
Increased serum creatinine × 2 or GFR decrease > 50%
Urine output < 0.5 ml/kg/h × 12 hr
Increased serum creatinine × 3 or GFR decrease > 75%, serum creatinine ≧ 4 mg/dL (acute rise > 0.5 mg/dL)
Urine output < 0.3 ml/kg/h × 24 hr or Anuria × 12 hr
Persistent ARF = complete loss of kidney function > 4 weeks
End Stage Kidney Disease (>3 months)
Estimated glomerular filtration rate (eGFR)
Continuous variables are presented as median and range. Groups were compared by Wilcoxon test. Analysis of the values of area under curve (AUC) of receiver operating characteristic (ROC) curves was performed to determine the significance of presepsin levels in diagnosing sepsis. The Youden index was used to identify the cutoff values for presepsin levels that may have diagnostic significance. Correlations between presepsin levels and Cr or eGFR were evaluated by the Spearman’s rank test. All statistical analyses in this study were performed using JMP® version 10 and MedCalc® version 13. P value less than 0.05 was considered statistically significant.
The background of patients
Metabolism, Endocrine, Allergic disease
Bone and soft tissue infection
Abdominal cavity or intestinal infection
Urinary tract infection
Abdominal cavity or intestinal infection
Bone and soft tissue infection
Urinary tract infection
Results of bacteriological examination in sepsis patients
Not detected or not examined
Gram negative rods
Gram positive coccus
Gram positive coccus and Gram negative bacillus
Gram positive coccus and Fungus
Gram positive coccus and Gram negative bacillus and Fungus
Loss of the kidney function and End-stage renal disease character of patients
The background of patients
Urinary tract infection
Presepsin is a 13-kDa protein that is a fragment of CD14 with truncated N-terminal, the receptor for lipopolysaccharide (LPS)/LPS binding protein (LBP) complexes [16, 17]. An in vivo study using rabbit sepsis models showed that presepsin level did not increase in the LPS-induced sepsis model whereas elevation of presepsin level was observed in a cecal ligation and puncture (CLP) sepsis model. It was speculated that the infectious stimulus led to the elevation of presepsin level. One of the production mechanisms of presepsin is related to the phagocytosis process and cleavage of membrane CD14 with lysosomal enzymes of granulocytes in an in vitro study using rabbit peritoneal leukocyte . The biological function of presepsin, however, remains unknown . Recently, presepsin is considered a novel marker for the diagnosis of sepsis that has been shown to increase in blood in the early stages of sepsis . A multicenter prospective study by Endo et al.  showed that presepsin is a highly specific marker for diagnosis of bacterial infections in comparison to other sepsis markers (PCT, IL-6).
In the present study, we observed that presepsin was significantly increased in sepsis patients with non-AKI and patients with milder forms of AKI (Risk and Injury) compared to non-sepsis groups. Furthermore, the median value of presepsin increased with increasing severity of AKI both in the non-sepsis and sepsis groups. The optimal cutoff value of presepsin in non-AKI group was 670 pg/mL (a result similar to that by Endo et al. ) while the optimal cutoff value of presepsin in the AKI group (Risk, Injury and Failure groups combined) was significantly higher at 864 pg/mL. However, when the Failure group was separately analyzed, the result is that presepsin levels among patients with sepsis are not significantly different than those with non-sepsis in this particular group of AKI patients. Despite the limited number of patients in Loss and ESKD group, the levels of presepsin were consistently and abnormally high in all patients, whether they have sepsis or not (see Table 4). It is therefore suggested that further study is needed to establish cutoff value of presepsin for each level of AKI severity to diagnose sepsis in these groups of patients.
As to how our body clears the blood of presepsin remains unknown. In this study, our data show that there is moderate positive correlation between presepsin and Cr, and also moderate negative correlation between presepsin and eGFR in non-sepsis groups that were significantly similar to that of the sepsis groups. These results suggest that kidney is the major organ responsible in eliminating presepsin from blood. Since renal function could be considered a major determinant of presepsin level, it is therefore logical that different thresholds of presepsin levels (according to the status of renal function) be applied to diagnose sepsis.
Many studies have reported that early treatment of sepsis using appropriate antibiotics improved the prognosis and increased the survival rate in severe sepsis or septic shock patients [2–4]. Moreover, patients with AKI are susceptible to many complications such as those that may be caused by sepsis; and conversely, the most common cause of AKI in critically ill patients is sepsis , thus making early diagnosis and treatment of sepsis very important.
Blood culture is frequently used as the “gold standard” diagnostic method for diagnosing sepsis. However, blood culture usually takes 3 to 7 days to obtain the results and frequently yields low true positive results . Therefore, in general practice, the decision to treat patient for sepsis is based on the doctor’s own experience (empiric therapy). Any quick tests that indicate sepsis will certainly improve the physician’s changes of making the right diagnosis of sepsis. Presepsin testing could be one of these tests. Presepsin levels in blood are known to increase in the first 6 hr after the onset of sepsis. These changes in concentration occurred on a much faster time scale than those observed for PCT or CRP . The PATHFAST® presepsin assay reveals its result within 17 min. This is faster than the other methods of detecting presepsin by ELISAs [22, 23]. The PATHFAST® presepsin assay can be performed using whole blood. Whole blood samples are suitable for use in the emergency room, ICU, and the surgical operation room, thus making this present study on presepsin more meaningful.
Some limitations in our study deserve consideration. First, this retrospective single center study only involved a small number of samples; second, we did not compare presepsin to other promising biomarkers of bacterial infection that have been recently proposed, such as PCT and IL-6; third, we did not consider the effect of cellular immunity status of the patients (such as patients under chemotherapy, steroids treatment, etc.) on presepsin level; and fourth, bacterial culture was not considered in the diagnosis of sepsis. Further studies are therefore needed to address the limitations of this study cited above.
Blood presepsin level can be a reliable indicator of sepsis not only among non-AKI patients but also patients with less severe forms of AKI. However, it may not be a reliable indicator of sepsis in patients with a more advanced form of AKI, such as those classified under RIFLE criteria as having failure of kidney function, loss of kidney function and end-stage kidney disease.
We sincerely thank Mr. Yoshikazu Okamura of the Mitsubishi Chemical Medience Corporation for his advice regarding this research, and Ms. Kanae Misumi of the Department of Emergency and Critical Care Medicine, Faculty of Medicine, Fukuoka University for her help in data encoding.
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