Abstract
Urine neutrophil gelatinase-associated lipocalin (NGAL) is a biomarker of acute kidney injury that has been adapted to a urine dipstick test. However, there is limited data on its use in low- and-middle-income countries where diagnosis of acute kidney injury remains a challenge. To study this, we prospectively enrolled 250 children with sickle cell anemia aged two to 18 years encompassing 185 children hospitalized with a vaso-occlusive pain crisis and a reference group of 65 children attending the sickle cell clinic for routine care follow up. Kidney injury was defined using serial creatinine measures and a modified-Kidney Disease Improving Global Outcome definition for sickle cell anemia. Urine NGAL was measured using the NGAL dipstick and a laboratory reference. The mean age of children enrolled was 8.9 years and 42.8% were female. Among hospitalized children, 36.2% had kidney injury and 3.2% died. Measured urine NGAL levels by the dipstick were strongly correlated with the standard enzyme-linked immunosorbent assay for urine NGAL (hospitalized children, 0.71; routine care reference, 0.88). NGAL levels were elevated in kidney injury and significantly increased across injury stages. Hospitalized children with a high-risk dipstick test (300ng/mL and more) had a 2.47-fold relative risk of kidney injury (95% confidence interval 1.68 to 3.61) and 7.28 increased risk of death (95% confidence interval 1.10 to 26.81) adjusting for age and sex. Thus, urine NGAL levels were found to be significantly elevated in children with sickle cell anemia and acute kidney injury and may predict mortality.
Keywords: acute kidney injury, sickle cell anemia, neutrophil-gelatinase associated lipocalin, sub-Saharan Africa, chronic kidney disease, biomarker
Graphical Abstract

Introduction
Sickle cell anemia (SCA) is an inherited hemoglobinopathy of rising global incidence that results from a single amino acid substitution in the gene encoding β-hemoglobin. By 2050, it is projected that 400,000 newborns will be born with SCA annually1, with ~85% of cases occurring in sub-Saharan Africa2. SCA is a leading cause of death in children <5 years of age in sub-Saharan Africa3 and an established risk factor for kidney disease4–10. Polymerization of deoxygenated sickle hemoglobin results in decreased deformability of red blood cells and leads to vaso-occlusive crises, one of the most common complications in children living with SCA11,12. Several studies have reported an increased risk of acute kidney injury (AKI) in children with SCA during a vaso-occlusive crisis13–16. AKI in the context of SCA is associated with increased resource utilization and mortality15,17.
AKI is an abrupt decrease in kidney function based on an increase in serum creatinine or a decrease in urine output. However, creatinine is a late marker of AKI with limited sensitivity to detect smaller changes in kidney function18,19 and is affected by non-renal factors, including malnutrition20. In SCA, the presence of glomerular hyperfiltration and increased tubular reabsorption of creatinine further complicate AKI recognition21. There is a critical need to evaluate alternative biomarkers to improve early detection of AKI that are accessible across a variety of clinical settings22. The development of point-of-care tests to diagnose AKI will facilitate equitable access by reducing reliance on centralized diagnostics and allowing near-patient early AKI recognition.
Neutrophil gelatinase-associated lipocalin (NGAL) is a 25-KDa secreted innate immune protein expressed by neutrophils23. NGAL is rapidly upregulated by the kidney in the context of ischemia and tubular injury24,25. Meta-analyses report excellent diagnostic utility in sepsis-associated AKI with areas under the receiver operating characteristic curve (AUC) >0.9026,27. NGAL can also predict the need for kidney support therapy and identifies patients at highest risk of mortality26,27. Urine NGAL (uNGAL) has been adapted to a dipstick test (NGALds) facilitating semi-quantitative point-of-care evaluation of NGAL and has been validated in the context of trauma-associated AKI28.
In the present study, we hypothesized that uNGAL would be elevated in AKI and associated with increased risk of mortality. We evaluated this in a prospective cohort of children with SCA hospitalized with a vaso-occlusive crisis alongside a reference group of children with sickle cell anemia in steady state. Urine NGAL was measured on enrollment using a point-of-care dipstick test and the results validated using a quantitative laboratory assay. Among hospitalized children, we evaluated the relationship between uNGAL and clinical features of disease severity, AKI, and mortality.
Methods
Study population
Between January and August in 2019, 250 children with sickle cell anemia (SCA) were enrolled in the study at Mulago National Referral and Teaching Hospital in Central Uganda. Study participants included 185 consecutively recruited children with SCA hospitalized for a vaso-occlusive pain crisis as previously described17. Acute kidney injury (AKI) was assessed using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria using serial creatinine measures29. Inclusion criteria were documented SCA by hemoglobin electrophoresis (HbSS), age 2 to 18 years, pain score ≥ 2 on an age-specific pain scale, and a willingness to complete the study procedures. Pain in children aged 2-3 years was assessed using the face, legs, activity, cry, and consolability (FLACC) scale30. Participants aged > 3-7 years were assessed using the Wong-Baker Faces pain scale, and children ≥ 8 years were assessed using the numeric pain scale31,32. In addition to the hospitalized children, 65 age-matched children with SCA in steady state who were attending the sickle cell clinic for routine follow-up were enrolled as a reference group. Exclusion criteria for the reference group included an active illness or the presence of pain.
Mulago National Referral Hospital is located in Kampala in Central Uganda and has a high outpatient and inpatient burden with an average of three hospital admissions daily in children with SCA for vaso-occlusive crises. Most children admitted with vaso-occlusive crises are referred from the hospital’s dedicated sickle cell clinic that provides medical care to approximately 1400 children per year. Routine care includes daily folic acid and penicillin V for children <5 years of age and malaria prophylaxis with sulfadoxine-pyrimethamine. The use of sickle cell modifying therapy hydroxyurea is available in a limited capacity for children meeting clinical indications. There are no standard protocols for identifying, monitoring, and managing AKI in the acute care unit. The decision to assess creatinine is based on each patient’s clinical risk, according to the managing physician. Routine monitoring of urine output or daily weights is not performed.
Study procedures
On enrollment, all children had a complete history and physical exam conducted by a study medical officer to assess medication use, signs of infection, and the site and severity of pain. Blood pressure was calculated as the mean of three independent measurements, and hypertension was defined as a systolic blood pressure >95% percentile or a diastolic blood pressure >95% from three independent measurements for children <13 years of age or a systolic blood pressure ≥130mmHg or diastolic blood pressure ≥80 for children 13 years of age or older33. Children were weighed on a standardized electronic scale, and height was measured using a stadiometer. Heights and weights were converted into z-scores (height-for-age, weight-for-age, weight-for-height, or BMI-for-age) based on WHO growth references34,35.
All children had blood collected at enrollment for malaria evaluation, a complete blood count, and a point-of-care i-STAT test using the CHEM8+ cartridge that measures metabolic status and renal function (Abbott Point of Care Inc., Princeton, NJ). A spot urine sample was collected using a urine bag or urine container for older children and sent to the laboratory within two hours of collection for urinalysis and uNGAL dipstick. Urine samples were spun at room temperature for 5 minutes at 400g and collected and stored at −80°C until testing.
Assessment of infection
On admission, all children were assessed for signs of infection. Acute infection was defined as the presence of sepsis, malaria, or urinary tract infection. Sepsis was defined using the SIRS/sepsis in International pediatric sepsis consensus guidelines as previously described36. The diagnosis of a urinary tract infection was based on a positive nitrite or leukocyte test by urinalysis in children that presented with fever. Malaria was diagnosed by Giemsa stained thick and thin blood smears according to standard protocols. Blood and urine culture was not available.
Assessment of kidney function
Based on the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines, AKI was defined as an increase in serum creatinine ≥0.3 mg/dl within 48 hours or a 50% increase in baseline creatinine within seven days29. The definition was modified to exclude children with a 1.5-fold increase in creatinine from 0.2 to 0.3mg/dL as previously described17. Daily 24-hour urine output was not quantified during hospitalization. Kidney function was assessed on enrollment, at 48 hours, and day seven or discharge (whichever happened earlier) by iSTAT using an enzymatic assay traceable to the U.S. National Institute of Standards and Technology standard reference material SRM909, with a reportable range of 0.20-20.0mg/dL. Creatinine values below the reportable range were assigned a value of 0.19mg/dL.
The participants’ lowest measured creatinine was taken as the baseline. In instances where only a single creatinine measure was available (n=7), the Pottel age-based GFR estimating equation37 was used to back-calculate baseline creatinine, assuming a normal GFR of 120mL/min per 1.73m2 38. Using the KDIGO guidelines, AKI was staged based on creatinine fold change from baseline to the highest value recorded, where: stage 1 included a 1.5-<2-fold change in creatinine from baseline or a ≥0.3 mg/dl increase in creatinine within 48 hours; stage 2, 2–<3-fold change in creatinine from baseline; stage 3, ≥3-fold change in creatinine from baseline, or an increase in creatinine to ≥4.0 mg/dl, or an eGFR ≤35 ml/min per 1.73 m2. In addition, serum cystatin c was assessed as an alternative measure of GFR by ELISA using a Quantikine® assay by R&D Systems (Minneapolis, MN).
As sickle cell anemia is associated with increased tubular secretion of creatinine and can affect reliable eGFR estimates21, eGFR on admission was calculated using the creatinine and cystatin c-based formula, eGFR= 39.8*((height/creatinine)0.456)* ((1.8/cystatin c)0.418)* ((30/bun) 0.079)*(1.076male) *((height/1.4)0.179)39.
NGAL measurements
NGAL was measured on fresh urine samples using the uNGAL dipstick test kit from BioPorto Diagnostics Inc. (Hellerup, Denmark) according to the instructions28. The test is an antibody sandwich lateral flow dipstick test where the intensity of the color in the test line correlates with the concentration of NGAL in the sample. Briefly, the uNGAL dipstick reagent tube was brought to room temperature, three drops of sample dilution buffer were added to the reagent tube provided, 10uL of urine was added to the reagent tube using a volumetric pipette, mixed, and incubated at room temperature for five minutes. After five minutes, the lateral flow test strip was placed with arrows pointing down into the sample and incubated for 10 minutes, ensuring the control line was visible before reading the semi-quantitative results using the quantification guide. Reference levels of urine NGAL were tested in batches on stored samples by enzyme-linked immunosorbent immunoassay (ELISA) according to the manufacturer’s protocol (Kit 036, BioPorto Diagnostics Inc., Hellerup, Denmark). Urine samples were diluted 1:1000, and the upper and lower limits of the assay were 2000 and 5ng/ml, respectively. All testing was conducted by technicians blinded to participant details.
Statistical analysis
Data were double entered into REDCap electronic data capture tools hosted at Indiana University. Data were analyzed using STATA v14.0 (StataCorp) and GraphPad Prism v7.03. Data are presented descriptively using mean and standard deviation (SD) or median and interquartile range (IQR) for continuous variables and number and frequency for discrete variables. The frequency of missing data is presented in the manuscript. The relationship between NGAL levels and dichotomous outcomes was assessed using a Wilcoxon rank-sum test or Student’s t-test or a non-parametric test of trend across stages of AKI using the methodology of Cuzick40. To evaluate the discriminatory ability of the biomarker tests, we generated non-parametric receiver operating characteristic (ROC) curves and reported the area under the curve (AUC). To evaluate the relationship between NGAL and AKI status, hematuria, mortality, and other clinical variables among the cases, we fitted a modified Poisson Model with robust standard errors41,42. This model was preferred to prevent over-estimation of standard errors often observed when logistic regression models are fitted for common outcomes.
Ethics
Written informed consent was obtained from the parents or legal guardians of all study participants, and assent was obtained for children 8 years of age and older. The Institutional Review Board from Makerere University School of Biomedical Sciences Research and Ethics Committee (SBSREC) granted ethical approval (first approval date 13th May 2018, IRB number SBS-S46). The Uganda National Council for Science and Technology provided regulatory approval for the study (approval date 07th September 2018, approval number; HS 2443).
Results
Description of the study population
We enrolled 250 children with sickle cell anemia in this study, including 185 children hospitalized for a vaso-occlusive crisis in whom AKI was assessed and 65 age-matched children in steady state as a reference group of children with sickle cell anemia (Figure 1). Overall, 243 children had a stored urine sample for NGAL assessment, and 246 had an uNGAL dipstick test. The mean age (standard deviation) of children enrolled in the study was 8.9 years (4.0), with 107 (42.8%) of study participants female. The reference group was comparable in age and sex to the hospitalized children (Table 1).
Figure 1. Flow chart of study population.

A flow chart showing the number of children with NGAL assessed based on AKI status.
Table 1.
Description of children with sickle cell anemia enrolled in the study
| Hospitalized children with a vaso-occlusive crisis (n=185) | Reference group in steady state (n=65) | |||
|---|---|---|---|---|
|
| ||||
| Demographics | Combined | No AKI | AKI | |
|
| ||||
| Age, years, median (IQR) | 8.9 (5.9, 11.8) | 8.0 (5.1, 11.3) | 10.0 (7.3, 12.4) | 8.8 (5.9, 12.1) |
|
| ||||
| Age categories, n (%) | ||||
| <5 years | 36 (19.5) | 28 (23.7) | 8 (11.9) | 12 (18.5) |
| 5-10 years | 73 (39.5) | 47 (39.8) | 26 (38.8) | 26 (40.0) |
| >10 years | 76 (41.1) | 43 (36.4) | 33 (49.3) | 27 (41.5) |
|
| ||||
| Sex, n (%) Female | 77 (41.6) | 42 (35.6) | 35 (52.2) | 30 (46.2) |
|
| ||||
| Height-for-age z score | −1.4 (−2.3, −0.4) | −1.2 (−2.1, −0.3) | −1.7 (−2.6, −1.0) | −0.8 (−1.7, −0.3) |
|
| ||||
| Weight-for-age z score1 | −1.5 (−2.0, −0.5) | −1.3 (−2.0, −0.2) | −1.6 (−2.2, −0.8) | −0.7 (−1.2, −0.3) |
|
| ||||
| Weight-for-height z score1 | −1.6 (−2.2, −0.4) | −1.6 (−2.2, −0.3) | −1.6 (−2.6, −1.3) | 0.0 (−0.7, 0.3) |
|
| ||||
| BMI-for-age z score1 | −1.3 (−2.3, −0.4) | −1.3 (−2.0, −0.4) | −1.2 (−2.7, −0.2) | −0.7 (−1.2, −0.1) |
|
| ||||
| MUAC, cm | 16.0 (15.0, 17.8) | 16 (14.8, 17.4) | 16.7 (15.2, 18.2) | 16.6 (15.3, 19.0) |
|
| ||||
| HIV infection, n (%) | 1 (0.5) | 0 (0.0) | 1 (1.5%) | 0 (0.0) |
|
| ||||
| Sickle cell related complications | ||||
|
| ||||
| Splenomegaly, n (%) | 18 (9.7) | 9 (7.6) | 9 (13.4) | 4 (6.2) |
|
| ||||
| Severe anemia, n (%) | 131 (70.8) | 77 (62.3) | 54 (80.6) | 19 (29.7) |
|
| ||||
| Hypertension, n (%) | 34 (18.4) | 21 (17.8) | 13 (19.4) | 9 (13.9) |
|
| ||||
| Pain Assessment | ||||
|
| ||||
| Pain Score, median (IQR) | ||||
| FLACC-R ≤3 years, n=18 | 4 (4, 8) | 4 (4,6) | 4 (4, 8) | --- |
| Wong-Baker >3-7 years, n=89 | 6 (4, 8) | 6 (4, 8) | 6.5(4, 8) | |
| Numeric scale, ≥8 years, n=78 | 6 (4, 8) | 6 (4, 8) | 6 (4, 8) | |
| Overall | 6 (4, 8) | 6 (4, 8) | 6 (4, 8) | |
|
| ||||
| Location of pain | ||||
| Chest | 64 (34.6) | 41 (34.8) | 23 (34.3) | --- |
| Abdomen | 77 (41.6) | 50 (42.4) | 27 (40.3) | |
| Back | 55 (29.7) | 33 (28.0) | 22 (32.8) | |
| Lower limb | 120 (64.9) | 74 (62.7) | 46 (68.7) | |
| Upper limb | 56 (30.3) | 34 (28.8) | 22 (32.8) | |
| Other | 7 (3.8) | 4 (3.4) | 3 (4.5) | |
|
| ||||
| Duration of pain in days | 3 (2, 4) | 3 (2, 4) | 3 (2, 4) | --- |
|
| ||||
| Kidney function | ||||
|
| ||||
| Dipstick proteinuria, n (%) | 28 (15.1) | 9 (7.6) | 19 (28.4) | 2 (3.1) |
|
| ||||
| Dipstick hematuria, n (%) | 14 (7.6) | 4 (3.4) | 10 (14.9) | 0 (0.0) |
|
| ||||
| Albuminuria2 | ||||
| Microalbuminuria, n (%) | 55 (31.4) | 31 (27.9) | 24 (37.5) | 15 (23.1) |
| Macroalbuminuria, n (%) | 15 (8.6) | 6 (5.4) | 9 (14.1) | 2 (3.1) |
|
| ||||
| Enrollment Creatinine, mg/dL | 0.3 (0.19, 0.4) | 0.2 (0.19, 0.3) | 0.19 (0.19, 0.3) | 0.3 (0.2, 0.4) |
|
| ||||
| Enrollment Cystatin C, mg/L | 0.8 (0.6, 1.0) | 0.8 (0.6, 0.9) | 1.0 (0.7, 1.3) | 0.9 (0.8, 1.1) |
|
| ||||
| Enrollment eGFR (Creatinine & Cystatin C)3 | 133 (104, 160) | 146 (124, 167) | 99 (72, 133) | 118 (100, 149) |
|
| ||||
| Outcome | ||||
|
| ||||
| Died in-hospital, n (%) | 6 (3.2) | 1 (0.9) | 5 (7.5) | --- |
Data presented as median (IQR) or n (%)
Weight-for-age available for children ≤10 years of age (n=150); weight-for-height for children <5 years or age (n=51), BMI-for-age for children ≥5 years of age (n=202)
Microalbuminuria was defined as a urine to creatinine ratio of 3 to ≤30mg/mmol and macroalbuminuria was defined as a urine albumin to creatinine ratio >30mg/mmol.
eGFR calculated eGFR= 39.8*((height/Creatinine)0.456)* ((1.8/Cystatin C)0.418)* ((30/bun) 0.079)*(1.076male)*((height/1.4)0.179).39
Hospitalized children had lower height-for-age, weight-for-age, and BMI-for-age z scores than the steady state reference group and were more likely to have malnutrition, severe anemia, and proteinuria and hematuria by dipstick urinalysis (Table 1). Among the hospitalized children, 24 (13.0%) children had a history of stroke, and 78 (42.2%) had been hospitalized in the previous six months. Hospitalized children presented to the hospital with a median three-day history of pain, and the most common locations of pain were the lower limbs, abdomen, and chest (Table 1). Analgesia use for children included paracetamol (93.0%), morphine (86.0%), ibuprofen (83.8%), diclophenac (10.3%), codeine (2.2%) and tramadol (1.1%).
The prevalence of AKI in hospitalized children was 36.2% (n=67/185). Mortality in the study was 3.2%, with 6/185 children dying during hospitalization. AKI was associated with an 8.81-fold increased relative risk of death (95% CI 1.04 to 74.23). There were no relationships between nephrotoxic medication use (ibuprofen and/or diclophenac) and AKI (p>0.05 for all).
Dipstick versus laboratory uNGAL
Levels of uNGAL by dipstick were strongly correlated with ELISA-based uNGAL levels with a non-parametric rank correlation of 0.71 in hospitalized children and 0.88 in children with sickle cell anemia in steady state (Table 2). The uNGAL levels were categorized based on previously established cut-offs28: negative (≤50), low risk (51-149), moderate risk (150-299), and high risk (≥300) (Figure 2). Among children with results by both test modalities, 194/242 (80.2%) children tested negative by both the dipstick and reference uNGAL test, and there was 71.4% (15/21) agreement in children categorized as high risk by both test modalities.
Table 2.
Categorical comparisons of urine NGAL values at enrollment in hospitalized children and a reference group of children in steady state
| Laboratory-based uNGAL assessment in children with sickle cell anemia | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hospitalized children (n=181) | Reference group in steady state (n=61) | |||||||||
| Risk category | Negative | Low risk | Moderate risk | High risk | Rho | Negative | Low risk | Moderate risk | High risk | Rho |
| Dipstick uNGAL | ||||||||||
| Negative | 140 | 4 | 0 | 0 | 0.71 | 54 | 1 | 1 | 0 | 0.88 |
| Low risk | 5 | 9 | 1 | 1 | 1 | 2 | 0 | 0 | ||
| Moderate risk | 0 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | ||
| High risk | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 0 | ||
NGAL, neutrophil gelatinase-associated lipocalin
Negative (≤50ng/mL), Low risk (51-149 ng/mL), Moderate risk (150-299 ng/mL), High risk (≥300 ng/mL)
Figure 2. Urine NGAL levels in study population by group and test modality.

(a) Graph comparing uNGAL concentrations using the semi-quantitative dipstick test and the laboratory uNGAL levels. The individual results are depicted by the white circle with a box plot showing the median (interquartile range) and the whiskers denoting the minimum and maximum value. The dark grey shaded area represents the range for the dipstick test as it relates to the quantitative laboratory values. (b) Scatter plot with a bar at the median depicting urine NGAL values measured in the laboratory by ELISA in hospitalized children with a vaso-occlusive crises based on AKI status compared to steady state outpatient children with sickle cell anemia presenting for routine care. The test results were categorized into a negative (≤50), low risk (51-149), moderate risk (150-299), high risk (≥300). Median uNGAL levels were significantly higher in children with AKI compared to children with no AKI (p<0.0001). (c) Bar chart presenting the frequency of high risk uNGAL levels (≥300ng/mL) by ELISA in children based on AKI severity.
Urine NGAL levels are elevated in hospitalized children with AKI
Urine NGAL levels were comparable between hospitalized children and steady state outpatient children with sickle cell anemia (Figure 2). The median laboratory-determined uNGAL concentration was 7.9 ng/mL (IQR, 5.0-18.2) in the reference group of children with sickle cell anemia in steady state compared to 9.8 ng/mL (5.0-33.5) in children hospitalized with a vaso-occlusive crisis (p=0.126). The percentage of children with a positive laboratory uNGAL test (>50ng/mL) was 9.8% in the reference group compared to 19.8% in hospitalized children (p=0.08).
Consistent with uNGAL as a biomarker of AKI, uNGAL levels were higher in children with AKI compared to children without AKI, with 37.9% of children with AKI having a positive laboratory uNGAL test (>50ng/mL) compared to 9.5% in children without AKI (p<0.0001). Further, among children with AKI, 22.7% had a high-risk laboratory NGAL test (≥300ng/mL) compared to 2.6% in children without AKI (p<0.0001) (Figure 2). The frequency of high-risk uNGAL tests increased across AKI stages, with 8.3% of children with Stage 1 AKI, 27.8% of children with Stage 2 AKI, and 33.3% of children with Stage 3 AKI having a high-risk laboratory uNGAL test (p<0.0001) (Figure 2). NGAL had moderate diagnostic accuracy for creatinine-defined AKI with comparable performance between the reference and dipstick tests (AUC, 95% CI: reference, 0.69, 0.61 to 0.77; dipstick, 0.68, 0.60 to 0.76) (Figure 3). Children with a high-risk dipstick uNGAL test had a 2.28-fold increased risk of AKI (95% CI 1.61 to 3.23) adjusting for age and sex.
Figure 3. Receiver operating characteristic curves and sensitivity and specificity plots depicting the performance of uNGAL to diagnose AKI and predict mortality in children with sickle cell anemia hospitalized with a pain crisis.

The performance of a laboratory uNGAL test (black) and the point-of-care NGAL dipstick test (blue) is depicted for its ability to diagnose AKI (left) and predict mortality (right) by a receiver operating characteristic curve. In addition, the percent sensitivity and specificity of the tests across different test thresholds are depicted in a sensitivity and specificity plot.
Urine NGAL predicts mortality in children hospitalized with a vaso-occlusive crisis
We evaluated whether tubular injury was associated with increased mortality over hospitalization (Figure 3, Figure 4). There was a significant increase in median levels of uNGAL at admission in children who died (median, 263.0 IQR 26.2-581.8) compared to survivors (median, 9.6 IQR 5.0-29.6, p=0.002). Overall, 60% of children who died had a positive uNGAL dipstick test. Urine NGAL had good performance in predicting death with AUCs of >0.85 by both test modalities (AUC, 95% CI: reference, 0.85, 0.74 to 0.95; dipstick, 0.87, 0.74 to 0.1.00) (Figure 3). Mortality among hospitalized children was 1.2% (2/164) in children without a high-risk NGAL dipstick test and 17.7% (3/17) in children with a high-risk NGAL dipstick test corresponding to a relative risk of 7.28 (95% CI 1.35 to 39.07) adjusting for participant age and sex (Figure 4).
Figure 4. Forest plot depicting the relationship between infections and clinical signs and symptoms of disease severity and a high-risk NGAL test.

Plot depicting the frequency of high-risk NGAL test results based on infection status, urine assessment, clinical complications and mortality. The relative risk is generated from a Poisson regression model with robust variance estimates with adjusted models including participant age and sex.
Other clinical signs associated with a high-risk NGAL test
We further evaluated the admission findings associated with a high-risk uNGAL dipstick result (Figure 4). Clinical signs and symptoms associated with a high-risk NGAL test included prostration, tender hepatomegaly, a history of being unable to drink, having reduced urine output, tea coloured urine, or sepsis (Figure 4). Laboratory findings associated with a high-risk NGAL test included proteinuria, hematuria, or bilirubinuria (Figure 4). The presence of malaria, severe anemia, or respiratory distress was not associated with a high-risk NGAL test.
Discussion
In this study of Ugandan children with SCA, children hospitalized with a vaso-occlusive crisis had comparable uNGAL levels to age-matched children with SCA attending the sickle cell clinic for routine follow-up care. However, among children hospitalized with a vaso-occlusive crisis, uNGAL levels were higher in children with AKI, increased across AKI stages, and predicted mortality. Certain clinical features in hospitalized children, including sepsis, prostration, tender hepatomegaly, and urine dipstick abnormalities were associated with high-risk uNGAL. A high-risk NGAL result was associated with a 7.28-fold increased risk of mortality adjusting for age and sex. Importantly, the performance of a semi-quantitative point-of-care uNGAL test was strongly correlated with continuous uNGAL levels using a laboratory assay and had comparable performance in discriminating between children with AKI and in predicting mortality. The present study suggests that dipstick uNGAL tests may have utility in LMIC to identify children with AKI in populations at risk for AKI and mortality.
In the present study, uNGAL levels were strongly correlated between the semi-quantitative dipstick test on fresh urine and quantitative levels measured on stored samples. The test modalities had comparable diagnostic accuracy in identifying AKI and predicting mortality. Urine diagnostics have the advantage of being noninvasive. Dipstick tests can be conducted at the bedside and are a preferred test modality in LMIC, where centralized laboratory testing is limited. Widespread use of point-of-care tests in LMIC settings has improved access to diagnostics and has improved clinical management of childhood illnesses (e.g., malaria and HIV)43. Advantages of point-of-care tests include ease-of-use, non-reliance on electricity, temperature stability, acceptability among end-users44, and low cost, which makes them ideal for use in resource-limited settings. Urine biomarkers of AKI may facilitate risk-stratification or “prognostic enrichment” of children45 for early implementation of the KDIGO bundle-of-care or STOP AKI protocol to prevent AKI progression46.
NGAL is a well-established marker of AKI with better performance reported in children compared to adults26,27. In the context of this cohort, the diagnostic accuracy of uNGAL for AKI was consistent with estimates from adult populations, which may reflect pre-existing kidney disease in children with SCA. However, using an imperfect reference standard of serum creatinine to diagnose AKI complicates our assessment of uNGAL as a biomarker of AKI. Although there are limitations in creatinine-based diagnosis of AKI that apply to all populations (e.g., delayed increase in creatinine, frequent unknown baseline creatinine), there are additional barriers in LMICs, including a higher prevalence of undernutrition38 that impacts the accuracy of approaches to estimate baseline creatinine. These issues are further exacerbated in children with SCA who may have hyperfiltration, chronic kidney disease, and altered tubular handling of creatinine21. In the present study, 87 (47.0%) of the hospitalized children had a baseline creatinine below the assay’s detection limit and were assigned a value of 0.19mg/dL. With low creatinine values, imprecision in creatinine measurement can lead to inaccuracies in AKI diagnosis47.
Although the number of deaths in this study was limited, the relationship between uNGAL and mortality was strong. These results are consistent with a study of trauma-related AKI in Malawi where a positive uNGAL test was strongly predictive of mortality28. Consistency in findings between populations where the etiology of AKI is likely to differ supports the generalizability of the results. While the optimal cut-offs to effectively risk-stratify children require validation in other populations and settings, the results suggest uNGAL may be able to identify children with AKI at increased risk of death who may benefit from additional creatinine monitoring. Although point-of-care tests are particularly attractive in LMIC, they can also be leveraged in high-income settings to support rapid clinical decisions. A study of adults presenting to an emergency department in New York City found that the use of uNGAL dipstick tests could rule out AKI48. The use of uNGAL dipsticks was also able to rule out AKI in Malawi with a specificity of 73.5% and a negative predictive value of 90.2% 28. Implementation of uNGAL dipsticks in community settings may improve risk stratification of patients and increase AKI recognition, awareness, and treatment.
In children following cardiac surgery without AKI, uNGAL levels increased within 12 hours of administering non-steroidal anti-inflammatory drugs (NSAIDs) with sustained increases in uNGAL among children receiving multiple NSAID doses49. These data suggest uNGAL may also have clinical utility to identify sub-clinical AKI associated with structural injury to the kidney in the absence of creatinine changes49. NSAIDs were administered at least once in 86.5% of hospitalized children in the study, and while it was not associated with the development of AKI using creatinine, serial measures of uNGAL were not available to assess sub-clinical AKI. In addition, creatinine testing in the study was conducted using a point-of-care test with the results immediately available to the treating clinician, and this may have impacted nephrotoxic medication use in the study. Among children with SCA enrolled in a clinical trial at the same site, vaso-occlusive crises accounted for 42% of hospitalizations with children experiencing several vaso-occlusive events per year11. Given the incidence of vaso-occlusive crisis in children with SCA and frequent exposure to NSAIDs, additional monitoring tools are needed identify sub-clinical and clinical AKI to guide medical management.
Limitations of this study include a single assessment of urine NGAL on admission. While the sample size was adequate to assess AKI in the study population, it was not powered to assess mortality. As such, we were unable to rigorously evaluate the relationship between a high-risk uNGAL result and mortality adjusting for potential confounders due to the limited number of deaths. Additional studies are needed to evaluate the impact of hemolysis on uNGAL detection and the performance of uNGAL tests in other populations with intravascular hemolysis (e.g., malaria). The results need to be prospectively validated in other settings and causes of AKI but are consistent with reports of uNGAL-related mortality prediction in Malawian children with trauma-related AKI28. While the present study showed a relationship between uNGAL levels and severe AKI, additional studies are needed to assess the ability of uNGAL to predict persistent AKI. Strengths of this study included the prospective recruitment of a cohort of children with SCA in sub-Saharan Africa, where most children living with SCA reside. Serial creatinine measures enabled us to define AKI in a population where CKD prevalence may be high, but baseline creatinine is unknown. Finally, the dipstick uNGAL results were compared to a quantitative ELISA assay and comparable to studies that validated the uNGAL dipstick test against a clinical test.
Overall, this study demonstrates that dipstick uNGAL tests correlate strongly with laboratory reference results and the dipstick test has comparable diagnostic and prognostic accuracy to the laboratory test. Additional studies are needed to evaluate whether urine NGAL dipstick tests can effectively risk stratify children to rule out AKI in low-risk children, identify children in whom preventive measures may improve outcomes (e.g., avoiding non-essential nephrotoxins), and identify high-risk children who may need more frequent monitoring (e.g., repeated uNGAL measures, creatinine monitoring), supportive care, and a nephrology referral. The development of AKI biomarkers that can be used in hospital or outpatient settings in ‘at risk’ populations have the potential to transform AKI care and outcomes. By focusing efforts to validate low-cost AKI biomarkers, we can prioritize a future in which patients with AKI can be easily identified to improve clinical management and promote equity in care across health care settings globally.
Acknowledgments
We would like to thank each study participant and their families for their contribution to the study and the study team for their hard work.
Funding
Research reported in this publication was supported by the Fogarty International Center (FIC) of the National Institutes of Health and the National Heart, Lung, And Blood Institute (NHLBI) under grant #D43TW009345 awarded to the Northern Pacific Global Health Fellows Program. This work was also supported by Grant Number D43TW010132 supported by Office of the Director, National Institutes of Health (OD), National Institute of Dental & Craniofacial Research (NIDCR), National Institute of Neurological Disorders and Stroke (NINDS), National Heart, Lung, and Blood Institute (NHLBI), Fogarty International Center (FIC), National Institute on Minority Health and Health Disparities (NIMHD). The study was also supported by Grant number 1R25TW011213 (Fogarty International Center of the National Institutes of Health, U.S. Department of State’s Office of the U.S. Global AIDS Coordinator and Health Diplomacy (S/GAC), and President’s Emergency Plan for AIDS Relief, PEPFAR). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
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Disclosure
The uNGALds were donated by Bioporto Diagnostics. Bioporto Diagnostics had no role in the study design, analysis or interpretation of data or the decision to publish. The authors declare that they have no other competing interests.
Contributor Information
Anthony Batte, Child Health and Development Centre, Makerere University College of Health Sciences, Kampala, Uganda.
Sahit Menon, San Diego School of Medicine, University of California.
John M Ssenkusu, Department of Epidemiology and Biostatistics, Makerere University School of Public Health, Kampala, Uganda.
Sarah Kiguli, Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda.
Robert Kalyesubula, Makerere University College of Health Sciences, Kampala, Uganda.
Joseph Lubega, Pediatric Hematology and Oncology, Baylor College of Medicine, Texas, USA.
Zachary Berrens, Department of Pediatrics, Pediatric Critical Care Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Edrisa Ibrahim Mutebi, Makerere University College of Health Sciences, Kampala, Uganda.
Rodney Ogwang, KEMRI-Wellcome Trust Research Programme, Centre for Geographic Medicine Coast, Kilifi, Kenya.
Robert O. Opoka, Department of Paediatrics and Child Health, Makerere University College of Health Sciences, Kampala, Uganda.
Chandy C. John, Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, Indiana.
Andrea L. Conroy, Department of Pediatrics, Ryan White Center for Pediatric Infectious Disease and Global Health, Indiana University School of Medicine, Indianapolis, Indiana.
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