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The Korean Journal of Internal Medicine logoLink to The Korean Journal of Internal Medicine
. 2020 Jul 7;36(2):392–400. doi: 10.3904/kjim.2019.446

Mortality prediction of serum neutrophil gelatinase-associated lipocalin in patients requiring continuous renal replacement therapy

Yohan Park 1,*, Tae Hyun Ban 2,*, Hyung Duk Kim 1, Eun Jeong Ko 1, Jongmin Lee 3, Seok Chan Kim 3, Cheol Whee Park 1, Chul Woo Yang 1, Yong-Soo Kim 1, Byung Ha Chung 1,✉
PMCID: PMC7969065  PMID: 32623875

Abstract

Background/Aims

We investigated whether serum neutrophil gelatinase-associated lipocalin (NGAL) can predict mortality in patients with acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT).

Methods

This study enrolled 169 patients who underwent serum NGAL testing at CRRT initiation from June 2017 to January 2019. The predictive power of serum NGAL level for 28-day mortality was compared to the Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score and Sequential Organ Failure Assessment (SOFA) score via area under the receiver operating characteristic curve (AuROC) value.

Results

There were 55 survivors and 114 non-survivors at 28 days post-CRRT initiation. Median serum NGAL level was significantly higher in the non-survivor group than in the survivor group (743.0 ng/mL vs. 504.0 ng/mL, p = 0.003). The AuROC value of serum NGAL level was 0.640, which was lower than APACHE-II score and SOFA score values (0.767 and 0.715, respectively). However, in the low APACHE-II score group (< 27.5), AuROC value of serum NGAL was significantly increased (0.698), and it was an independent risk factor for 28 day-mortality (hazard ratio, 2.405; 95% confidence interval, 1.209 to 4.783; p = 0.012).

Conclusions

In patients with AKI requiring CRRT, serum NGAL levels may be useful for predicting short-term mortality in those with low APACHE-II scores.

Keywords: Neutrophil gelatinase-associated lipocalin, Critical illness, Acute kidney injury, Renal replacement therapy, Mortality

INTRODUCTION

Neutrophil gelatinase-associated lipocalin (NGAL) is a member of the lipocalin superfamily and is known as an excellent marker for early diagnosis of acute kidney injury (AKI) because it increases early in the process and acts as an indicator of injury rather than loss of renal function [1-3]. Additionally, there have been recent studies that report increased expression of NGAL both in renal and extra-renal tissue in various pathologic conditions [3]. In the sepsis-induced mouse model, the expression of NGAL increased not only in the kidney but also in other organs such as the lung, liver, spleen, and trachea [4]. A human study demonstrated that serum NGAL levels increased by inflammatory cell secretion during infection [5]. Therefore, serum NGAL concentration is not only an excellent marker for predicting AKI but also increases its expression in various organs in many pathologic conditions.

NGAL expression has also been shown to be useful in predicting clinical outcomes in both renal and non-renal organ injury. For example, serum NGAL levels are an early biomarker of delayed graft function and calcineurin inhibitor nephrotoxicity after kidney transplant [6], and Cruz et al. [7] reported that serum NGAL levels were elevated in patients with cardiovascular disease. In addition, serum NGAL levels are an independent marker for predicting 3-year mortality in acute heart failure [8] and have been reported to increase with atherosclerosis [9]. Therefore, it can be used to predict mortality in patients with critical illness by reflecting dysfunction of various organs.

Previous studies have shown that NGAL levels can predict overall mortality in patients with critical illness, however, most of those studies were performed in patients with sepsis or in postoperative status [10-13]. A mortality analysis study focusing on serum NGAL levels in critically ill patients with AKI was a small study, involving only 50 patients [13]. The aim of the study presented here is to investigate whether serum NGAL levels can be used to predict mortality in critically ill patients with AKI requiring continuous renal replacement therapy (CRRT) irrespective of underlying cause.

METHODS

Study design

This was a retrospective, observational study to analyze critically ill patients with AKI requiring CRRT who were admitted to Seoul St. Mary’s Hospital between June 2017 and January 2019. AKI was diagnosed according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines [14]. CRRT was initiated in patients with clinical hemodynamic instability with volume overload, electrolyte imbalance, and metabolic acidosis that could not be controlled by intensive medical treatment. The protocol for CRRT initiation in our institution was followed, and it starts with continuous venovenous hemodiafiltration at an effluent rate of 35 mL/kg per hour. A total of 545 patients underwent CRRT during the study period, of which 41 patients were excluded because they were already undergoing maintenance hemodialysis. An additional 335 patients were excluded because NGAL measurements were not performed in them at the time of CRRT initiation. The remaining 169 patients were enrolled and analyzed in our study.

This study followed the Declaration of Helsinki and was approved by the Institutional Review Board of Seoul St. Mary’s Hospital (KC19RASI0780). Written informed consent by the patients was waived by the board due to a retrospective nature of our study.

Data collection

Baseline patient characteristics were recorded and included age, height, weight, sex, comorbidities, and main indications for CRRT initiation. Blood tests were performed to measure complete blood cell counts, blood urea nitrogen, creatinine, electrolytes, bilirubin, C-reactive protein, and arterial blood gas analysis. Acute Physiology and Chronic Health Evaluation-II (APACHE-II) scores [15] and Sequential Organ Failure Assessment (SOFA) scores [16] were calculated based on patients’ vital signs and blood tests at the time of CRRT initiation. We also recorded whether mechanical ventilation was used and whether inotropic agents were administered at the time of CRRT initiation.

Measurement of serum NGAL levels

Serum NGAL measurements were performed on the sample just before CRRT initiation using BioPorto Diagnostics’ NGAL TestReagent kit (Bioporto Diagnostics A/S, Hellerup, Denmark). Blood samples were collected in tubes containing ethylenediaminetetraacetic acid, and serum NGAL measurements were taken within 30 minutes of collection per the manufacturer’s instruction. In this measurement method, the assay range of serum NGAL is 50 to 3,000 ng/mL, and the inaccuracy is less than 5% [17].

Statistical analysis

All continuous variables were expressed as mean ± standard deviation or median (interquartile range). The Student t test was used to compare variables showing normal distribution and the Mann-Whitney U test was used for variables showing non-normal distribution. Nominal variables were compared using the chi-square test or Fisher’s Exact test as appropriate and expressed as proportions. Survival analysis at 28 days post CRRT initiation was represented by Kaplan-Meier curves, and the comparison between the groups was performed by log-rank test. Serum NGAL levels, APACHE-II scores, and SOFA scores were analyzed as 28-day mortality predictors using receiver operating characteristic (ROC) curves. Cutoff values were determined to represent the highest sensitivity and specificity simultaneously [18]. Spearman’s correlation analysis was used to investigate the relationship between serum NGAL levels, APACHE-II scores, and SOFA scores. Patients were divided into subgroups according to the cutoff value of the APACHE-II score. Serum NGAL levels, APACHE-II scores, and SOFA scores were analyzed for 28-day mortality predictors using ROC curves in the subgroup of patients with low APACHE-II scores. Cox proportional hazard regression analysis was performed to identify risk factors for 28-day mortality in the low APACHE-II score group. A p values less than 0.05 were considered statistically significant, and all statistical analyses were performed using SPSS statistics version 24.0 (IBM Co., Armonk, NY, USA) and Microsoft Excel 2016 (Microsoft, Redmond, WA, USA).

RESULTS

Baseline characteristics

At 28 days after CRRT initiation, 55 patients belonged to the survivor group and 114 patients had not survived. Table 1 shows the baseline characteristics and clinical features in both groups. The mean age was 59.3 ± 16.2 years in the survivor group but was significantly higher in the non-survivor group at 65.3 ± 15.1 years (p = 0.019). There were also significant differences between the survival group and the non-survival group in median heart rate (100.0 bpm vs. 120.0 bpm, p < 0.001), median respiratory rate (21.0 bpm vs. 25 bpm, p = 0.007), use of mechanical ventilation (45.5% vs. 78.9%, p < 0.001), administration of inotropic agents (58.2% vs. 81.6%, p = 0.001), mean arterial pressure (76.3 mmHg vs. 68.0 mmHg, p < 0.001), and arterial pH (7.29 vs. 7.39, p < 0.001). These factors were all included in calculating the APACHE-II scores and SOFA scores. Except for sepsis, the indication for CRRT initiation did not have a significant impact on survival, nor did any of the comorbidities included in this study.

Table 1.

Baseline characteristics and clinical features of survivor and non-survivor group

Characteristic Survivor (n = 55) Non-survivor (n = 114) p value
Age, yr 59.3 ± 16.2 65.3 ± 15.1 0.019
Body mass index, kg/m2 23.8 ± 4.1 22.9 ± 3.6 0.159
Male sex 31 (56.4) 65 (57.0) 0.936
Mean arterial pressure, mmHg 76.3 (69.0–92.0) 68.0 (60.0–79.7) < 0.001
Heart rate, bpm 100.0 (78.0–120.0) 120.0 (103.3–132.3) < 0.001
Respiratory rate, rpm 21.0 (18.0–27.0) 25.0 (20.0–29.0) 0.007
Body temperature, °C 36.9 (36.4–37.5) 36.8 (36.3–37.8) 0.708
Arterial pH 7.39 (7.33–7.45) 7.29 (7.17–7.38) < 0.001
Serum sodium, mEq/L 138.5 ± 8.4 141.1 ± 8.7 0.071
Serum potassium, mEq/L 4.0 (3.5–4.4) 4.2 (3.7–4.9) 0.040
Serum creatinine, mg/dL 2.87 (1.77–3.89) 2.40 (1.76–3.82) 0.293
Hematocrit, % 27.5 ± 5.9 27.7 ± 5.7 0.849
WBC count, × 103/μL 12.2 (7.6–21.1) 9.7 (2.1–18.8) 0.182
Platelet count, × 103/μL 76.0 (43.0–166.0) 59.5 (29.8–104.0) 0.088
Total bilirubin, mg/dL 1.85 (0.75–5.49) 1.89 (0.90–3.64) 0.846
C-reactive protein, mg/dL 11.4 (2.8–19.0) 11.8 (5.0–19.7) 0.641
Mechanical ventilation 25 (45.5) 90 (78.9) < 0.001
Inotropics administration 32 (58.2) 93 (81.6) 0.001
Indication for CRRT initiation
 Sepsis 22 (40.0) 71 (62.3) 0.006
 Post-operation 8 (14.5) 6 (5.3) 0.069
 Cardiac 5 (9.1) 12 (10.5) 0.771
 Pulmonary 1 (1.8) 2 (1.8) 1.000
 Hepatic 10 (18.2) 10 (8.8) 0.076
 Renal 4 (7.3) 5 (4.4) 0.475
 Malignancy 5 (9.1) 6 (5.3) 0.340
 Others 0 2 (1.8) 1.000
Comorbidities
 Diabetes mellitus 18 (32.7) 28 (24.6) 0.264
 Hypertension 21 (38.2) 53 (46.5) 0.308
 Chronic kidney disease 9 (16.4) 12 (10.5) 0.281
 Cerebro-cardiovascular disease 17 (30.9) 28 (24.6) 0.382
 Pulmonary disease 2 (3.6) 9 (7.9) 0.507
 Liver disease 16 (29.1) 18 (15.8) 0.043
 Dementia 0 2 (1.8) 1.000
 Malignancy 13 (23.6) 29 (25.4) 0.234
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Values are presented as mean ± SD, number (%), or median (interquartile range).

WBC, white blood cell; CRRT, continuous renal replacement therapy.

Predictive value for mortality of serum NGAL levels, APACHE-II scores, and SOFA scores

Serum NGAL levels were significantly higher in the non-survivor group than in the survivor group (median 743.0 ng/mL and mean 1,033.3 ng/mL vs. median 504.0 ng/mL and mean 709.9 ng/mL, p = 0.003). The APACHE-II score (31.0 vs. 24.0, p < 0.001) and the SOFA score (14.0 vs. 11.0, p < 0.001) were also both significantly higher in the non-survivor group (Fig. 1). The serum NGAL levels, APACHE-II scores, and SOFA scores were analyzed using ROC curves as predictors of 28 day-mortality. The area under the ROC curve (AuROC) value of APACHE-II score was the highest at 0.767 (p < 0.001), and when the cutoff value was set to 27.5, the sensitivity and specificity were 68.4% and 70.9%, respectively. The AuROC values of the SOFA score (0.715, p < 0.001) and serum NGAL level (0.640, p = 0.003) were statistically significant. When the cutoff value of serum NGAL was set to 576.5 ng/mL, the sensitivity and specificity were 60.5% and 58.2%, respectively (Fig. 2).

Figure 1.

Figure 1.

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Comparison of median serum (A) neutrophil gelatinase-associated lipocalin (NGAL) level, (B) Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and (C) Sequential Organ Failure Assessment (SOFA) score between survivor and non-survivor group. Median serum NGAL level was 504.0 ng/mL in the survivor group and 743.0 ng/mL in the non-survivor group (p = 0.003). Median APACHE-II score was 24.0 in the survivor group and 31.0 in the non-survivor group (p < 0.001). Median SOFA score was 11.0 in the survivor group and 14.0 in the non-survivor group (p < 0.001). ap = 0.003, bp < 0.001.

Figure 2.

Figure 2.

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Predictive value for 28-day mortality of serum neutrophil gelatinase-associated lipocalin (NGAL) level, Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and Sequential Organ Failure Assessment (SOFA) score. AuROC, area under the receiver operating characteristic curve.

Correlation analysis of serum NGAL levels, APACHE-II scores, and SOFA scores and subgroup analysis in the low APACHE-II score group

In the correlation analysis between serum NGAL levels, APACHE-II scores, and SOFA scores, APACHE-II scores and SOFA scores showed a relatively linear correlation with a Spearman’s correlation coefficient (ρ) of 0.647. However, serum NGAL levels did not show clear correlations with either APACHE-II scores or SOFA scores, of which Spearman’s ρ values were 0.235 and 0.196, respectively (Fig. 3). The patients were then divided into high and low APACHE-II score groups according to the APACHE-II cutoff value (Supplementary Tables 1 and 2). There were 94 patients in the high APACHE-II score group and 75 in the low APACHE-II score group. Serum NGAL levels, APACHE-II scores, and SOFA scores were analyzed using ROC curves as predictors of 28-day mortality in the low APACHE-II score group. The AuROC values for prediction of 28-day mortality of serum NGAL levels, APACHE-II scores, and SOFA scores were 0.698, 0.668 and 0.643, respectively. Using a serum NGAL level cutoff value of 511.5 ng/mL, sensitivity was 63.9% and specificity was 66.7%. These results indicate that serum NGAL levels showed a rather high predictive power trend compared to other scoring systems, and the predictive power tended to increase in the low APACHE-II score group (Fig. 4).

Figure 3.

Figure 3.

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Analysis of correlation between serum neutrophil gelatinase-associated lipocalin (NGAL) level, Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and Sequential Organ Failure Assessment (SOFA) score.

Figure 4.

Figure 4.

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Predictive value for 28-day mortality of serum neutrophil gelatinase-associated lipocalin (NGAL) level, Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and Sequential Organ Failure Assessment (SOFA) score in low APACHE-II score group. AuROC, area under the receiver operating characteristic curve.

Combined analysis of NGAL level and APACHE-II score for the prediction of patient survival

Kaplan-Meier survival analysis was performed all the patients by dividing into four groups according to the cutoff values of APACHE-II score and serum NGAL level. When the APACHE-II score was high, there was no significant difference in mortality rate as serum NGAL levels changed. However, when the APACHE-II score was low, mortality rate was significantly higher in the group with higher serum NGAL levels (p < 0.001) (Fig. 5). Cox proportional hazard regression analysis was performed to identify factors affecting 28-day mortality in patients with low APACHE-II scores. Independent factors affecting 28-day mortality were serum NGAL levels and APACHE-II scores. The hazard ratios of serum NGAL levels and APACHE-II scores were 2.405 and 2.291, respectively (Table 2).

Figure 5.

Figure 5.

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Kaplan-Meier survival analysis according to serum neutrophil gelatinase-associated lipocalin (NGAL) level and Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score groups divided by cutoff value.

Table 2.

Multivariate Cox proportional hazard regression analysis of 28-day mortality in the low APACHE-II score group

Variable β Hazard ratio (95% confidence interval) p value
NGAL ≥ 511.5 ng/mL 0.878 2.405 (1.209–4.783) 0.012
APACHE-II score ≥ 23.5 0.829 2.291 (1.173–4.472) 0.015
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Multivariate regression model was adjusted with parameters showing signif icant difference between the survivor and non-survivor groups. Parameters were as follows: NGAL group according to cutoff value (511.5 ng/mL), APACHE-II score group according to cutoff value (23.5), Sequential Organ Failure Assessment (SOFA) score group according to cutoff value (10.5), age, inotropic agent administration, and indication for continuous renal replacement therapy initiation (sepsis).

APACHE-II, Acute Physiology and Chronic Health Evaluation-II; NGAL, neutrophil gelatinase-associated lipocalin.

DISCUSSION

In this study, we found that serum NGAL concentration can be a useful predictive marker of mortality in patients with a low APACHE-II score. It was also an independent risk factor for 28-day mortality in the low APACHE-II score group. However, there was no correlation between serum NGAL levels and mortality in the high APACHE-II score group.

The 28-day mortality rate of the patients who were enrolled in this study was 67.5%. Considering the possibility of selection bias, baseline characteristics were compared with 335 patients who underwent CRRT but not NGAL measurement. The 28-day mortality rate of the excluded patient group was 65.7%, which was not significantly different from the study group, and there was no significant difference in other parameters between the two groups (Supplementary Table 3). Additionally, the mean APACHE-II and SOFA scores of patients in this study were 28.3 ± 7.3 and 12.8 ± 3.2, respectively. Based on the APACHE-II scores, previous studies on in-hospital mortality rates reported mortality rates of 55% to 73% for more than 28 points, which were somewhat consistent with our findings [15,19,20].

Several studies have previously analyzed mortality prediction values of serum NGAL levels in critically ill patients with AKI. Kumpers et al. [21] analyzed the relationship between serum NGAL levels and 28-day mortality in 109 critically ill patients with AKI requiring renal replacement therapy; serum NGAL levels were reported to be an independent risk factor predicting 28-day mortality (hazard ratio, 1.6; p = 0.005) . Mahmoodpoor et al. [13] analyzed the mortality prediction values of both serum and urinary NGAL levels in 50 patients with AKI. The AuROC value of serum NGAL at the time of admission to the intensive care unit was reported as 0.587. In addition, the authors analyzed the mortality prediction value according to the change in serum NGAL levels after 48 hours, and the AuROC value was 0.874. These studies were limited due to a relatively small sample size.

In this study, serum NGAL levels across all study groups resulted in lower prediction power than APACHE-II scores and SOFA scores, which are well known mortality prediction markers for critically ill patients and are calculated using factors directly related to patient mortality [15,16,22]. On the other hand, serum NGAL levels reflect organ injury caused by ischemia-reperfusion, so the direct mortality prediction value may be relatively low as demonstrated in this study [4]. In addition, since this study focused on patients with AKI, many patients had high baseline serum NGAL levels which may have influenced the results. Furthermore, APACHE-II scores, SOFA scores, and serum NGAL levels were cross-sectionally analyzed only at the time of CRRT initiation and it is possible that the tests were performed in some cases after serum NGAL levels had decreased following the occurrence of AKI [23]. These reasons could also explain the poor correlation between serum NGAL levels and the other two scoring systems as shown in our study.

However, our study also showed that in the lower APACHE-II score group, serum NGAL levels tended to show better predictive values for 28-day mortality compared with the APACHE-II and SOFA scoring systems. Furthermore, serum NGAL level was an independent risk factor for mortality in the multivariate Cox regression analysis. NGAL was first discovered in mature neutrophil granules [1] but is now known to be expressed in the proximal and distal tubular cells in the kidney [24], hepatocytes [25], smooth muscle cells [26], cardiomyocytes [27], endothelial cells [28], neurons [29], and various immune cells [5,30]. NGAL levels are thought to increase in these cells in the early stages of organ damage in ischemia-reperfusion injury. In addition, NGAL itself has been reported to stimulate the NF-κB pathway to increase the expression of various proinflammatory molecules [31]. Thus, increased concentration of NGAL itself may have increased inflammation which may have affected patient mortality. Anyway, elevated NGAL levels may be helpful in predicting mortality because they reflect the extent of subclinical organ damage in patients whose APACHE-II or SOFA scores have not yet increased.

Previous studies have shown that NGAL is difficult to use as an AKI predictor in septic conditions because it is expressed in several inflammatory cells. [2,4]. As such, the presence of sepsis in patients may affect serum NGAL levels. In this study, a large number of sepsis patients were included in the non-survivor group; therefore, subgroup analysis was performed. Considering the entire patient group, the AuROC value of serum NGAL was 0.658 with statistical significance only in the non-sepsis group. However, in the low APACHE-II score group, the AuROC value of serum NGAL was 0.620 and 0.650 of the non-sepsis and sepsis groups, respectively, which were lower than that of all low APACHE-II patient groups taken together (Supplementary Fig. 1). Notably, in the low APACHE-II score group, the non-survivor group contained more sepsis patients, and the serum NGAL level was found to be a significant factor affecting mortality even if the presence of sepsis was corrected by multivariate analysis (Table 2).

This study had some limitations. Firstly, this was a single-center, retrospective study with a small sample size of 169 patients. It is possible that this small number of patients did not sufficiently represent the population. However, our study has the advantage that the sample size is larger than in previous studies that reported the relationship between serum NGAL level and mortality in critically ill patients with AKI [13,21]. Secondly, serum NGAL levels were measured and analyzed only once (at the time of CRRT initiation). Previous studies have reported that subsequent measurements of serum NGAL levels may be of greater help in predicting mortality [11,13]. In this study, serial follow-up of serum NGAL levels was not performed due to various environmental limitations. However, this study suggests that serum NGAL levels at the time of CRRT initiation may be useful for predicting mortality in patients with low clinical severity.

In conclusion, in critically ill patients with AKI requiring CRRT, serum NGAL levels were shown to be a useful prediction marker for short term mortality in patients with relatively low clinical severity. These results indicate that subclinical tissue damage may be associated with high serum NGAL levels before the development of obvious signs of multiorgan failure. Baseline serum NGAL levels in patients requiring CRRT with relatively low clinical severity may be useful markers for predicting mortality in the future.

KEY MESSAGE

1. Neutrophil gelatinase-associated lipocalin (NGAL) secretion increases when various types of cells are injured.

2. Serum NGAL is increased by injury to various organs not only the kidney.

3. Serum NGAL is an early indicator of organ injury with a low clinical severity.

4. In relatively low clinical severity, serum NGAL is a useful predictor of mortality.

Footnotes

No potential conflict of interest relevant to this article was reported.

Supplementary Materials

Supplementary Table 1.

Baseline characteristics and clinical features of survivor and non-survivor group in the low APACHE-II score group (< 27.5)

kjim-2019-446-suppl1.pdf (48.6KB, pdf)
Supplementary Table 2.

Baseline characteristics and clinical features of survivor and non-survivor group in the high APACHE-II score group (≥ 27.5)

Supplementary Table 3.

Comparison of baseline characteristics between enrolled and excluded patient group

kjim-2019-446-suppl3.pdf (43.1KB, pdf)
Supplementary Figure 1.

Predictive value for 28-day mortality of serum neutrophil gelatinase-associated lipocalin (NGAL) level, Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and Sequential Organ Failure Assessment (SOFA) score in subgroup analysis according to sepsis status. (A) Non-sepsis group in overall patients, (B) sepsis group in overall patients, (C) non-sepsis group in low APACHE-II score, and (D) sepsis group in low APACHE-II score.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Table 1.

Baseline characteristics and clinical features of survivor and non-survivor group in the low APACHE-II score group (< 27.5)

kjim-2019-446-suppl1.pdf (48.6KB, pdf)
Supplementary Table 2.

Baseline characteristics and clinical features of survivor and non-survivor group in the high APACHE-II score group (≥ 27.5)

kjim-2019-446-suppl2.pdf (49KB, pdf)
Supplementary Table 3.

Comparison of baseline characteristics between enrolled and excluded patient group

kjim-2019-446-suppl3.pdf (43.1KB, pdf)
Supplementary Figure 1.

Predictive value for 28-day mortality of serum neutrophil gelatinase-associated lipocalin (NGAL) level, Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, and Sequential Organ Failure Assessment (SOFA) score in subgroup analysis according to sepsis status. (A) Non-sepsis group in overall patients, (B) sepsis group in overall patients, (C) non-sepsis group in low APACHE-II score, and (D) sepsis group in low APACHE-II score.

kjim-2019-446-suppl4.pdf (56KB, pdf)

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