Open Access

Neutrophil gelatinase-associated lipocalin (NGAL) predicts the occurrence of malaria-induced acute kidney injury

  • Marlies E. van Wolfswinkel1, 2Email author,
  • Liese C. Koopmans1,
  • Dennis A. Hesselink3,
  • Ewout J. Hoorn3,
  • Rob Koelewijn2,
  • Jaap J. van Hellemond2 and
  • Perry J. J. van Genderen1
Malaria Journal201615:464

https://doi.org/10.1186/s12936-016-1516-y

Received: 1 June 2016

Accepted: 2 September 2016

Published: 9 September 2016

Abstract

Background

Acute kidney injury (AKI) is a frequently encountered complication of imported Plasmodium falciparum infection. Markers of structural kidney damage have been found to detect AKI earlier than serum creatinine-based prediction models but have not yet been evaluated in imported malaria. This pilot study aims to explore the predictive performance of neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) for AKI in travellers with imported P. falciparum infection.

Methods

Thirty-nine patients with imported falciparum malaria from the Rotterdam Malaria Cohort with available serum and urine samples at presentation were included. Ten of these patients met the criteria for severe malaria. The predictive performance of NGAL and KIM-1 as markers for AKI was compared with that of serum creatinine.

Results

Six of the 39 patients (15 %) developed AKI. Serum and urine NGAL and urine KIM-1 were all found to have large areas under the receiver operating characteristics curves (AUROC) for predicting AKI. Urine NGAL was found to have an excellent performance with positive predictive value (PPV) of 1.00 (95 % CI 0.54–1.00), a negative predictive value (NPV) of 1.00 (95 % CI 0.89–1.00) and an AUROC of 1.00 (95 % CI 1.00–1.00).

Conclusion

A good diagnostic performance of NGAL and KIM-1 for AKI was found. Particularly, urine NGAL was found to have an excellent predictive performance. Larger studies are needed to demonstrate whether these biomarkers are superior to serum creatinine as predictors for AKI in P. falciparum malaria.

Keywords

Malaria Plasmodium falciparum Acute kidney injury NGAL KIM-1

Background

Malaria-induced acute kidney injury (AKI) is an important contributing factor to the high mortality of severe malaria [1]. In endemic regions, AKI occurs in up to 40 % of adult patients with severe Plasmodium falciparum infection and it is associated with high mortality [25]. Outside endemic countries, AKI is also a frequently encountered complication of imported P. falciparum infection. In a recent study in travellers with imported P. falciparum infection, AKI, defined according to the criteria set by the Kidney Disease: Improving Global Outcomes (KDIGO) AKI Work Group [6], was seen in 39 (8 %) of all 485 patients and in 23 (38 %) of the 61 patients with severe malaria [7].

Although the KDIGO classification allows for an early detection of changes in glomerular filtration rate (GFR), the use of serum creatinine-based prediction models for AKI has limitations. Substantial rises in serum creatinine are only observed 48 to 72 h after the initial injury to the kidney, and, because of factors such as enhanced tubular creatinine secretion, significant renal injury can occur without an important rise of serum creatinine [8]. This is illustrated by a recent study in which 12 (31 %) of 39 patients with malaria-induced AKI had a normal serum creatinine at presentation [7]. Because structural kidney injury precedes functional injury, a marker of structural kidney damage could theoretically detect AKI much earlier, in a way that has been compared to the role of troponin in the detection of myocardial injury [9].

A promising marker of structural kidney damage in AKI is neutrophil gelatinase-associated lipocalin (NGAL), also known as lipocalin 2. This protein was initially discovered in activated neutrophils and was later found to be produced by many tissues, including renal tubular epithelial cells. Under physiologic conditions, NGAL is present at very low concentrations in the urine and plasma [1012]. Studies in animals showed NGAL to be one of the most upregulated genes in the kidney very early after AKI. As a consequence of the induction of NGAL-expression in the distal nephron and reduced proximal tubular re-uptake due to tubular damage, both urine and plasma NGAL concentrations rise quickly in the event of AKI [10, 11]. The value of NGAL as a predictor of AKI has been established in a large number of studies, predominantly performed in critically ill patients, after cardiac surgery and after kidney transplantation [11, 13, 14]. In studies in endemic regions, urine NGAL has been shown to rise with increasing severity of AKI in severe malaria [2] but was not superior to creatinine in predicting in hospital requirement for renal replacement therapy (RRT) [15]. However, NGAL has not yet been evaluated as a marker for AKI in patients with imported malaria.

Another frequently used biomarker for kidney injury is kidney injury molecule-1 (KIM-1). KIM-1 is a transmembrane protein in tubular kidney cells that is undetectable in plasma of patients with undamaged kidneys. In damaged tubular epithelial cells undergoing dedifferentiation and proliferation, KIM-1 is induced and can become detectable in plasma and urine [16]. The exact function of KIM-1 is unknown and reports have suggested both a protective and a damaging function of the molecule [16]. Urinary KIM-1 concentrations were found to increase much earlier than blood urea nitrogen and plasma creatinine in studies in which proximal tubule injury was induced by cadmium or ischemia [8, 17, 18]. Its performance as an early marker for AKI has been evaluated in several clinical settings, including contrast-induced nephropathy [1921] and sepsis [20], but not during malaria.

The aim of this pilot study was to explore the predictive performance of NGAL and KIM-1 in AKI in travellers with imported P. falciparum infection.

Methods

Patients

The Harbour Hospital is a 161-bed general hospital, located in Rotterdam, The Netherlands. It also harbours the Institute for Tropical Diseases, which serves as a national referral centre. The Rotterdam Malaria Cohort consists of all patients diagnosed with malaria at the Institute for Tropical Diseases since 1998. Of all these patients, anonymized demographic, clinical and laboratory data are routinely collected and stored in an electronic database. On 1 January, 2015, the Rotterdam Malaria Cohort comprised 690 cases of imported malaria, of which 491 were caused by P. falciparum.

The present pilot study focussed on the diagnostic accuracy of serum NGAL (sNGAL), urine NGAL (uNGAL) and urine KIM-1 (uKIM-1) concentrations as predictive biomarkers for AKI. Thirty-nine patients with imported falciparum malaria from the Rotterdam Malaria Cohort with available serum and urine samples at their initial presentation were included. Ten patients with imported P. falciparum met the criteria for severe malaria. The findings were compared with the performance of serum creatinine as a marker for AKI in falciparum malaria.

Laboratory investigations

All laboratory parameters were measured on admission with routine procedures, as described before [22]. The standard procedure to diagnose malaria comprised a quantitative buffy coat (QBC) analysis, a rapid diagnostic test (RDT) for malaria antigens (Binax NOW® Malaria Test Binax, Inc, Maine, USA), and thick and thin blood smears using freshly collected blood specimens from finger pricks. The RDT and the QBC analysis were performed according to the manufacturer’s instructions [23, 24]. QBC capillaries were examined independently by two technicians by microscopic analysis of two complete rows of the region between the bottom of the capillary and the polynuclear leukocyte layer using an Olympus BX-60 fluorescence microscope equipped with UV-filter, 50× objective and 12.5× oculars (total magnification 625×).

Measurements of sNGAL, uNGAL and uKIM-1 were done using residual patient material. Samples of serum and urine had been collected at initial presentation and stored at −80 °C until analysis. sNGAL with a maximum storage time of 2 years and 9 months, during which stability of NGAL and KIM-1 levels can be assumed [25]. uNGAL and uKIM-1 were quantitatively determined with commercially available sandwich ELISA kits (NGAL Quantikine and KIM-1 Quantikine kits from R&D Systems, Inc, Minneapolis, USA).

Definitions

Acute kidney injury

AKI was defined using the KDIGO criteria, which include three stages of progressive renal dysfunction (see Additional file 1) [6]. Since patients may present with renal dysfunction without a known baseline serum creatinine, a classification based on a change of creatinine or estimated GFR (eGFR) from baseline poses a significant limitation. To circumvent this problem, the following method, which was previously described as a suitable method by the ADQI Group [26], was used: in patients without previously measured creatinine concentrations, a normal premorbid renal function was assumed. A baseline, creatinine concentration was then calculated, using the four-variable modification of diet in renal disease (MDRD) formula with an assumed normal eGFR. These calculated baseline values were used to estimate the change of renal function during infection (see Additional file 2).

Severe malaria

Patients were considered as having severe falciparum malaria if they met the recently updated World Health Organization (WHO) criteria for severe malaria on admission or during hospitalization (see Additional file 3) [27].

Statistical analysis

All data were extracted from the original secured database and reviewed for inconsistencies and missing values. For statistical analysis, IBM Statistical Package for the Social Sciences (SPSS) version 22 (IBM Inc, Chicago, IL, USA) was used. Differences between the groups having AKI or no AKI were analysed using the Fisher’s exact test or Chi square test for nominal variables. For continues variables the Mann–Whitney U test was used. The diagnostic performance of sNGAL, uNGAL, the uNGAL/sNGAL ratio, the ratio between uNGAL and urine creatinine (uNGAL/uCreat) and the ratio between uKIM-1 and urine creatinine (uKIM-1/uCreat) was reported as sensitivity, specificity, positive, and negative predictive value for AKI with their corresponding 95 % confidence intervals (with the use of MedCalc version 15.6). For each parameter, a receiver operating characteristics (ROC) curve was constructed as a summary statistic and the area under the ROC curve (AUROC) and its corresponding 95 % confidence intervals were calculated. The AUROC of each of the variables was compared to that of reference comparator variable serum creatinine in a pair-wise comparison using the method of Hanley and McNeil [28]. Optimal cut-off points were determined using the Youden index. All reported P values are two-tailed. P values less than 0.05 were considered statistically significant.

Results

Patient characteristics and AKI at presentation and during admission

During the study period, 50 patients with P. falciparum malaria were included in the Rotterdam Malaria Cohort. Ten of these patients met the criteria for severe malaria and seven had AKI. Of 39 of these patients, including the ten patients with severe malaria and six of the patients with AKI, residual urine and serum samples were available for analysis. The general characteristics on admission of these 39 patients are shown in Table 1. Six patients (15 %) developed AKI, defined as KDIGO stage 1, 2 or 3, in the course of their infection. In four of these patients (67 %) AKI was already identified on admission; one patient was classified in KDIGO stage 1, two in stage 2 and one in stage 3. Two of these patients later progressed to a more advanced KDIGO stage. Two patients did not meet the KDIGO criteria at presentation but progressed during admission to KDIGO stage 3 (see Table 2).
Table 1

General characteristics

 

AKI n=6

No AKI n=33

P value

Demographic findings

Age, years

43 (29–62)

46 (28–69)

0.89

Male gender

3 (50 %)

30 (91 %)

<0.05

Ethnicity

  

1.00

Caucasian

2 (33 %)

9 (27 %)

1.00

African

4 (67 %)

22 (67 %)

1.00

Asian

0 (0 %)

2 (6 %)

1.00

Adequate prophylaxis use

0 (0 %)

0 (0 %)

1.00

Symptoms ≥8 days

2 (33 %)

6 (19 %)

0.58

Nephrotoxic co-medicationa

1 (17 %)

4 (12 %)

1.00

Clinical findings

Temperature °C

39.5 (38.3–40.1)

38.4 (35.5–40.7)

0.11

Systolic blood pressure, mmHg

100 (73–140)

125 (95–170)

0.08

Pulse rate beats/minute

111 (100–140)

95 (56–129)

<0.05

Glasgow coma scale

15 (15–15)

15 (11–15)

0.54

Laboratory findings

Creatinine, µmol/L

196 (77–1081)

96 (39–133)

<0.01

Urea, mmol/L

14.8 (9.1–55.8)

5.6 (2.7–33.6)

<0.001

Sodium, mmol/L

129 (120–136)

137 (127–141)

<0.01

Potassium, mmol/L

3.2 (2.9–3.9)

3.7 (3.3–4.5)

<0.05

Lactate, mmol/L

4.5 (1.9–5.8)

1.5 (0.6–4.6)

<0.001

Parasitaemia, parasites/µL

386,600 (45,900–1,380,600)

39,200 (64–678,400)

<0.05

sNGAL, ng/ml

700 (174–2287)

91 (19–204)

<0.001

uNGAL, ng/ml

5792 (376–22,028)

9 (1–240)

<0.001

uKIM-1, ng/ml

3.9 (1.8–7.8)

1.2 (0.1–8.7)

<0.01

uNGAL/ sNGAL

10.1 (0.4–25.1)

0.1 (0.0–2.6)

<0.001

uNGAL/uCreatinine

815.0 (5.4–2172.7)

0.8 (0.1–42.5)

<0.001

uKIM-1/uCreatinine

0.04 (0.02–0.08)

0.1 (0.0–2.9)

0.04

Concomitant bacterial infection

1 (17 %)

0 (0 %)

0.15

Outcome

Severe malaria (WHO 2014)

5 (83 %)

5 (15 %)

<0.01

Renal replacement therapy

3 (50 %)

0 (0 %)

<0.01

ICU admission

4 (67 %)

4 (12 %)

<0.05

Death

1 (17 %)

0 (0 %)

0.15

Continuous variables are given as median (range). Nominal variables are given as number (percentage)

P values <0.05 are considered significant

aSelf-reported use of non-steroidal anti-inflammatory drugs (NSAIDs), ACE-inhibitors, diuretics or lithium

Table 2

KDIGO stage at initial presentation and during admission in relation to serum and urine NGAL and urine KIM-1 for all six patients with AKI

KDIGO stage at presentation

Highest KDIGO stage during admission

RRTa

Serum NGAL (≤177 ng/ml)

Urine NGAL (≤72 ng/ml)

Urine KIM-1 (≤5.33 ng/ml)

0

3

Yes

899

22,028

1.84

0

3

No

501

8691

3.88

1

2

No

174

376

4.40

2

2

No

2287

6452

3.92

2

3

Yes

205

5132

3.87

3

3

Yes

2014

838

7.75

Italics: Elevated laboratory measurements

Reference ranges in brackets

aRenal replacement therapy

The non-AKI group contained more men than de AKI group but other demographic findings did not differ significantly. Pulse rate, parasite load and serum concentrations of creatinine, urea, lactate, sNGAL, uNGAL and uKIM-1 were significantly higher in the AKI group. Serum sodium and potassium concentrations were significantly lower in the AKI group. The ratios uNGAL/sNGAL and of uNGAL/uCreat were significantly higher in the AKI patients. Intensive care unit admission was significantly more common in the AKI group. Since AKI is one of the defining criteria for severe malaria [23] severe malaria was also more common in the AKI group.

Identification of AKI by NGAL and KIM-1

Five out of six patients with AKI presented with elevated sNGAL. uNGAL was elevated in all six (Table 2). In contrast, only one of the AKI patients showed elevated uKIM-1 at presentation. All patients that were classified as KDIGO stage 3, either at presentation or later during admission, already showed elevated concentrations of both sNGAL and uNGAL at presentation.

In seven patients, high concentrations of sNGAL, uNGAL or uKIM-1 on admission were found despite a seemingly normal kidney function throughout their admission; one had elevated sNGAL, uNGAL and uKIM-1, two patients showed elevated sNGAL and uNGAL with normal uKIM-1, three patients presented with only an elevated uNGAL, and in one patient only uKIM-1 was elevated. These data are available as Additional file 4.

Diagnostic performance of sNGAL, uNGAL and uKIM-1 at presentation for AKI

Analysis of the diagnostic accuracy of sNGAL, uNGAL, uKIM-1 and the ratios of uNGAL and uKIM-1 to to urine creatine was performed by pair-wise comparison of the AUROCs of these parameters to the AUROC of serum creatinine. All parameters showed large AUROCs. However, none of these differences were statistically significant when compared to the AUROC of creatinine, likely due to the small sample size of this study. uNGAL was found to have an excellent performance with PPV of 1.00 (95 % CI 0.54–1.00), an NPV of 1.00 (95 % CI 0.89–1.00) and an AUROC of 1.00 (95 % CI 1.00–1.00; Table 3). The ROC curves of serum creatinine, sNGAL, uNGAL, uKIM-1 are available as a Additional file 5.
Table 3

Descriptive statistics of diagnostic accuracy of various biomarker measurements at presentation for the presence or subsequent development of acute kidney injury (AKI)

Parameter and cut-off value

Sensitivity

Specificity

PPV

NPV

Youden index

AUROC

P value*

sCreatinine ≥ 128 µmol/L

0.83 (0.36–1.00)

0.97 (0.84–1.00)

0.83 (0.36–0.99)

0.97 (0.84–1.00)

0.80

0.85 (0.60–1.00)

 

sNGAL ≥ 168 ng/ml

1.00 (0.54–1.00)

0.88 (0.72–0.97)

0.60 (0.26–0.88)

1.00 (0.88–1.00)

0.88

0.98 (0.93–1.0)

0.389

uNGAL ≥ 308 ng/ml

1.00 (0.54–1.00)

1.00 (0.89–1.00)

1.00 (0.54–1.00)

1.00 (0.89–1.00)

1.00

1.00 (1.00–1.00)

0.299

uNGAL/sNGAL ≥ 1.9

0.83 (0.36–1.00)

0.97 (0.84–1.00)

0.83 (0.36–1.00)

0.96 (0.84–1.00)

0.80

0.95 (0.85–1.00)

0.544

uNGAL/uCreat ≥ 5.1 ng/mmol

1.00 (0.54–1.00)

0.88 (0.72–0.97)

0.60 (0.26–0.88)

1.00 (0.88–1.00)

0.88

0.98 (0.93–1.00)

0.390

uKIM-1 ≥ 1.83 ng/ml

1.00 (0.54–1.00)

0.72 (0.54–0.87)

0.40 (0.16–0.68)

1.00 (0.86–1.00)

0.72

0.87 (0.75–0.99)

0.919

uKIM-1 /uCreat ≤ 0.085 ng/mmol

1.00 (0.54–1.00)

0.58 (0.39–0.74)

0.30 (0.12–0.54)

1.00 (0.82–1.00)

0.58

0.76 (0.61–0.92)

0.810

Data are given as mean (95 % confidence interval)

Optimal cut-off values were determined using the Youden index

PPV positive predictive value; NPV negative predictive value; AUROC area under the ROC curve

* P values of pair-wise comparison of AUROCs are given (with creatinine ROC curve as comparator)

Diagnostic performance of sNGAL, uNGAL and uKIM-1 at presentation for KDIGO stage 3

Analysis of the diagnostic accuracy of creatinine, NGAL and KIM-1 for the most severe form of AKI, KDIGO stage 3, was also performed. uNGAL (0.99, 95 % CI 0.88–1.0) and sNGAL (0.97, 95 % CI 0.86–1.00) were found to perform excellently and all evaluated parameters had larger AUROCs than creatinine (AUROC of 0.75, 95 % CI 0.59–0.87). Differences were not significant, but sample sizes in this sub-group were very small (see Additional file 6).

Renal replacement therapy (RRT) in relation to sNGAL, uNGAL and uKIM-1 at presentation

Three patients developed a need for RRT. One of these patients did not classify as AKI on admission but later progressed to KDIGO stage 3, one was in KDIGO stage 2 and one in stage 3. However, all three presented with elevated sNGAL and uNGAL and one also showed an elevated urine KIM-1 on admission.

Follow-up measurements during admission

For two patients, sNGAL and uNGAL concentrations were available for follow-up during admission. One patient needed RRT, the other did not. Both patients showed elevated uNGAL at initial presentation, while serum creatinine concentrations were still normal. No major changes of sNGAL concentrations were seen during admission (see Additional file 7).

Discussion

In the present pilot study it is demonstrated that sNGAL and uNGAL have an excellent predictive performance for malaria-induced AKI.

Biomarkers for the early detection of AKI are under intense investigation and studies have revealed promising results in a broad variety of settings including contrast-induced nephropathy, critically ill patients, cardiac surgery, and kidney transplantation [2935]. In several studies, both urine and serum NGAL concentrations were found to be superior to the serum creatinine concentration for the prediction of AKI [33, 36].

Early detection of AKI in malaria could help to prevent further deterioration of kidney function by appropriate fluid management, avoidance of nephrotoxic drugs and close monitoring to assess the need for RRT [3, 4, 37]. However, very few studies on biomarkers for AKI have been performed in malaria. The value of uNGAL was previously studied in a cohort of adult patients with severe P. falciparum infection in Bangladesh. uNGAL was shown to increase with increasing severity of AKI [2], but creatinine was found to be superior to uNGAL in predicting the need for RRT [15]. However, patients in this study generally presented severely ill and more than half of them already had a decreased eGFR on admission. One could speculate that the benefit of an early marker for AKI can be larger in the very different population of travellers with imported malaria, who tend to present in a much earlier stage of the infection.

In the present pilot study on biomarkers of AKI in imported malaria, highly promising results were observed for uNGAL, which was able to identify all six AKI patients at initial presentation. Follow-up measurements in two AKI patients revealed that uNGAL increases before serum creatinine starts to rise (Additional file 7). The AUROCs of sNGAL, uNGAL and uKIM-1 were large but, due to the very small sample size, the study was underpowered to demonstrate statistically significant differences. This is a major limitation of the present study and larger studies should be performed to demonstrate whether these biomarkers truly outperform serum creatinine.

The suggestion that uNGAL performs better than sNGAL, is an important discussion in literature. A meta-analysis conducted by Haase et al. showed that both serum and urine NGAL concentrations appear to perform similarly well and provide a relevant advantage as compared with serum creatinine [13]. It deserves further investigation whether this conclusion also applies to the performance of serum and urine NGAL in imported P. falciparum malaria. These results are important since oliguria is a common event in malaria-induced AKI [37] and the use of urine NGAL for diagnosis of malaria-induced AKI, therefore, has its limitations. Another ongoing debate is whether urine biomarker concentrations are better reported as absolute values or as a ratio to creatinine concentration [38]. In the present study, the absolute values seemed to perform somewhat better than the ratio.

Although uKIM-1 performed well when the cut-off level was set at 1.83 ng/ml, only one of the six patients with AKI had a uKIM-1 level above the upper limit of normal, which is 5.33 ng/ml, while all six patients had markedly raised uNGAL levels. The patient who did have an elevated uKIM-1 was already in KDIGO stage 3 at presentation. These findings raise the question whether the rise of KIM-1 levels occurs later in the course of early AKI than NGAL. A study in children undergoing cardiac surgery suggests that this might indeed be the case [39]. However, this study was performed in a study population, which was much different from the present, and more research is needed to confirm this finding in other clinical settings.

Several patients were found to have elevated sNGAL, uNGAL or uKIM-1 but did not progress to a KDIGO stage 1 or higher. The clinical significance of increased NGAL concentrations without detectable changes in creatinine, previously interpreted as a shortcoming of the biomarker, has been found to indicate sub-clinical AKI and to be of prognostic importance in critically ill adult patients [40]. NGAL can be influenced by extra-renal production by neutrophils caused by factors like concomitant systemic inflammation or malignancy [41]. However, it is unlikely that such bias influenced the findings in the present study to a large degree as co-infection was ruled out and malignancy was considered unlikely in all patients. Follow-up of patients with elevated NGAL concentrations deserves further investigation, as this would increase insight into the correlation of NGAL and the resolution of AKI or the development of chronic kidney disease.

An important limitation of biomarkers like NGAL and KIM-1 is that their availability is usually limited to resource-rich settings where malaria is only seen as an imported disease; in the regions that carry the largest burden of malaria, laboratory diagnostics are often limited to basic measurements. Even in resource-rich settings, studies on the cost-effectiveness of these biomarkers are still to be done [42].

Conclusion

This pilot study reveals good diagnostic performance of sNGAL, uNGAL and uKIM-1. Especially uNGAL was found to have an excellent predictive performance. Larger studies are needed to demonstrate whether these biomarkers are superior to serum creatinine as predictors for AKI in P. falciparum malaria.

Abbreviations

AKI: 

acute kidney injury

KDIGO: 

Kidney Disease: Improving Global Outcomes

GFR: 

glomerular filtration rate

NGAL: 

neutrophil gelatinase-associated lipocalin

KIM-1: 

kidney injury molecule-1

sNGAL: 

serum neutrophil gelatinase-associated lipocalin

uNGAL: 

urine neutrophil gelatinase-associated lipocalin

uKIM-1: 

urine kidney injury molecule-1

QBC: 

quantitative buffy coat

RDT: 

rapid diagnostic test

eGFR: 

estimated glomerular filtration rate

MDRD: 

modification of diet in renal disease

WHO: 

World Health Organization

ROC: 

receiver operating characteristics

AUROC: 

area under the receiver operating characteristics curve

PPV: 

positive predictive value

NPV: 

negative predictive value

RRT: 

renal replacement therapy

Declarations

Authors’ contributions

MEvW and LCK contributed to the data acquisition and analysis and writing of the manuscript. DAH, EJH and JJvH participated in data analysis and revising the manuscript. RK was responsible for collection of patient data and database management. PJvG participated in study design, data analysis and writing and revising the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The Port of Rotterdam is thanked for the financial grant to study the import of infectious diseases in the region of Rotterdam, The Netherlands.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

The dataset supporting the conclusions of this article is included within the article as an additional file.

Ethics approval and consent to participate

Ethical clearance for the storage and use of residual serum and urine samples for scientific purposes was granted by the Medical Ethics Review Board of the Erasmus MC, University Medical Centre, Rotterdam, The Netherlands (MEC 2012-047).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Harbour Hospital and Institute for Tropical Diseases
(2)
Department of Medical Microbiology and Infectious Diseases, Erasmus MC and Harbour Hospital and Institute for Tropical Diseases
(3)
Department of Internal Medicine, Erasmus MC

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