Literature DB >> 31384443

Acute kidney injury among paediatric emergency room admissions in a tertiary hospital in South West Nigeria: a cohort study.

Adebowale D Ademola1, Adanze O Asinobi1, Esther Ekpe-Adewuyi2, Adejumoke I Ayede1, Samuel O Ajayi3, Yemi R Raji3, Babatunde L Salako3, Matthew James4, Michael Zappitelli5, Susan M Samuel6.   

Abstract

BACKGROUND: Epidemiological data on paediatric acute kidney injury (AKI) in sub-Saharan Africa are limited and largely retrospective. We performed a prospective study of AKI among patients admitted through the emergency room.
METHODS: Children admitted to the post-neonatal emergency room of the University College Hospital, Ibadan, Nigeria between February 2016 and January 2017 were studied. AKI was defined by Kidney Disease: Improving Global Outcomes serum creatinine criteria. AKI ascertainment relied on serum creatinine measurements carried out in routine care by post-admission Day 1. We compared in-hospital mortality by post-admission Day 7 for patients with and without AKI (no-AKI).
RESULTS: Of the 1344 children admitted to the emergency room, 331 were included in the study. AKI occurred in 112 patients (33.8%) with a median age of 3.1 years [interquartile range (IQR) 0.9-9.4] and was Stage 3 in 50.5% of the cases. The no-AKI group had a median age of 1.8 (IQR 0.7-5.8) years. The underlying diagnoses in patients with AKI were sepsis (33.0%), malaria (12.5%) and primary renal disorders (13.4%). Twenty-four of the patients with AKI underwent dialysis: haemodialysis in 20 and peritoneal dialysis in 4. By Day 7 of admission, 7 of 98 (7.1%) patients in the AKI group had died compared with 5 of 175 (2.9%) patients in the no-AKI group [odds ratio 2.6 (95% confidence interval 0.8-8.5)]. Outcome data were not available for 58 (17.5%) patients.
CONCLUSIONS: AKI is common among paediatric emergency room admissions in a tertiary care hospital in sub-Saharan Africa. It is associated with high mortality risk that may be worse in settings without dialysis.

Entities:  

Keywords:  acute kidney injury; children; dialysis; mortality; sub-Saharan Africa

Year:  2018        PMID: 31384443      PMCID: PMC6671520          DOI: 10.1093/ckj/sfy120

Source DB:  PubMed          Journal:  Clin Kidney J        ISSN: 2048-8505


INTRODUCTION

There is global interest in reducing mortality from acute kidney injury (AKI) in low-resource settings [1]. The International Society of Nephrology spearheads the 0 by 25 initiative with the goal of eliminating preventable deaths from AKI in low-resource countries by the year 2025 [1, 2]. Factors that contribute to high mortality from AKI in the region include late presentation to the hospital, delayed diagnosis and limited access to renal replacement therapy. Accurate data on the epidemiology of AKI in sub-Saharan Africa are crucial for the development and evaluation of interventional programmes, guidelines and clinical pathways for the management of AKI. The available studies indicate that AKI accounts for 1–3% of paediatric hospital admissions in Nigeria and has an incidence of 10–13.5/million children [3-10]. A review of the AKI literature from sub-Saharan Africa indicated that 66% of children with AKI needed dialysis [11]. Furthermore, mortality associated with AKI in various studies from sub-Saharan Africa ranged from 20.9 to 46.8% [3, 4, 6, 9, 12–17]. Most data from sub-Saharan Africa on paediatric AKI are retrospective, predate the Kidney Disease: Improving Global Outcomes (KDIGOs) consensus definition of AKI, involve patient information extracted from a clinical dataset or focus only on specific disease conditions or patients who undergo dialysis [3, 4, 11, 12, 14, 15, 18]. Prospective cohort studies of all children presenting or admitted to acute care hospital settings are currently lacking. Such studies are needed because the incidence, aetiology and outcome of AKI are influenced by the definition of AKI, the study design and the study population. The publication of the KDIGO consensus definition on AKI provides a unique opportunity to consistently document and stage AKI and to report outcomes in order to characterize and compare disease burden across geographical regions [19]. As an initial step towards addressing gaps in the literature regarding paediatric AKI in sub-Saharan Africa, we conducted a prospective study using AKI definitions based on the KDIGO criteria and within the first 2 days of admission to the emergency room in a tertiary paediatric health centre in Nigeria. We sought to describe the clinical characteristics of patients with and without AKI and compare in-hospital mortality on Day 7 of admission between patients diagnosed with AKI and those who did not have AKI.

MATERIALS AND METHODS

Setting

The University College Hospital, Ibadan is a tertiary care centre located in Ibadan, the capital city of Oyo State in South West Nigeria. Oyo State has a population of 5 580 894 and a population of 2 099 694 children <15 years of age (2 695 618 for children <20 years of age) [20]. More than half (54.4%) of the population earn less than the international poverty line of US$1.90/day [21]. Patients usually pay out of pocket for expenses related to medical treatment. The National Health Insurance Scheme is not yet in widespread use. Patients include those who are referred from other hospitals and those who are presenting to a health facility for the first time. The University College Hospital, Ibadan is also a tertiary care referral centre for paediatrics, with 120 beds. Subspecialty care is provided and includes cardiology, pulmonology, endocrinology, infectious disease, haematology–oncology, gastroenterology, neonatology and nephrology. Neonatal emergencies are managed in the neonatal unit, whereas the other paediatric emergencies are managed in the Otunba Tunwase Children’s Emergency Ward.

Design and subjects

We conducted a prospective observational study. The study was approved by the institutional research ethics boards at the University of Ibadan/University College Hospital, Ibadan and the University of Calgary. The authors adhered to the Declaration of Helsinki in carrying out the work. Patients were recruited between February 2016 and January 2017. Children 28 days to <18 years of age who were admitted to the emergency room were included, while those on chronic haemodialysis were excluded. Eligible children whose parents provided consent to participate were recruited into the study. Participants were recruited between 9 a.m. and 5 p.m. on weekdays over the enrolment period except for November 2017, when the ethics certificate renewal was delayed. During study enrolment, patients who were admitted outside the hours of 9 a.m.–5 p.m. or on weekends were recruited between the hours of 9 a.m. and 5 p.m. on weekdays if they were still on admission in the hospital.

Data collection

Data were collected on study-specific case report forms. These forms were developed by the primary study investigator A.D.A, circulated and discussed at length electronically and via conference calls with the other investigators and finally modified to their final form after consensus. The case report form was developed with the goal of collecting detailed information relevant to AKI, balanced with the feasibility of data availability within clinical charts and data collection by study staff. Information regarding baseline demographics, presenting symptoms, medication history, anthropometry, clinical examination findings such as the presence of oedema and blood pressure were extracted from medical charts on the day of admission. The results of serum creatinine performed on the day of admission or post-admission Day 1 were recorded, when available based on physicians’ orders during routine clinical care of patients. We extracted information from the charts regarding medications administered on the day of admission and post-admission Days 1 and 2. We obtained information regarding the patient’s underlying diagnosis from the medical charts. Primary renal diseases were defined as acute glomerulonephritis, nephrotic syndrome, acute on chronic kidney disease and posterior urethral valves.

AKI ascertainment

AKI ascertainment was made using the KDIGO serum creatinine criteria for the AKI definition based on the day of admission and/or post-admission Day 1 serum creatinine results. A patient was deemed to have AKI when the post-admission Day 1 serum creatinine was ≥0.3 mg/dL compared with the admission Day 1 serum creatinine. AKI was also defined when either the day of admission or post-admission Day 1 serum creatinine result was >1.5 times the estimated normal serum creatinine for height prior to illness. The estimated normal serum creatinine was back-calculated using the chronic kidney disease in children estimated glomerular filtration rate (eGFR) equation (baseline serum creatinine = 0.41 × height in centimetres/eGFR) [22, 23]. The estimated baseline serum creatinine corresponded to an eGFR of 120 mL/min/1.73 m2 for children >2 years of age. For children ≤2 years of age, estimated baseline serum creatinine corresponded to age-based normative values (Table 1) [23-25]. Serum creatinine measurements in our laboratory were performed using the modified Jaffe’s reaction [26] and the values are isotope dilution-mass spectrometry traceable.
Table 1.

Age-based eGFR values used to estimate baseline serum creatinine [23, 24]

Age (years)eGFR used (mL/min/1.73 m2)
≤0.142
0.10–0.3053
0.30–0.6671
0.66–1.0084
1.00–1.5091
1.50–2.0097
>2.00120
Age-based eGFR values used to estimate baseline serum creatinine [23, 24] AKI staging was performed according to the magnitude of the increase in serum creatinine as stipulated by the KDIGO AKI definition [19]. Stage 1 AKI referred to serum creatinine 1.5–1.9 times baseline or a ≥0.3 mg/dL increase in baseline serum creatinine. Stage 2 AKI referred to serum creatinine 2.0–2.9 times baseline. Stage 3 AKI referred to serum creatinine 3.0 times baseline or increase in serum creatinine to ≥4.0 mg/dL or initiation of renal replacement therapy, or in patients <18 years of age, a decrease in eGFR to <35 mL/min/1.73 m2. Urine output criteria were not considered due to the feasibility of data collection (a large proportion of patients with missing data anticipated a priori).

Outcomes

The primary outcome was death, and the outcome ascertainment was made on post-admission Day 7 if death did not occur before that date. Patients who were discharged home before post-admission Day 7 were assumed to be alive on Day 7. In the cohort with AKI, we also recorded whether the patient received dialysis (either haemodialysis or peritoneal dialysis) by admission Day 7. In our centre, parents who do not have enough funds for dialysis are usually able to get at least session of haemodialysis for their children through a waiver from the hospital, or they may be able to access funds for the management of indigent patients from the hospital or the Department of Paediatrics. Sometimes members of the medical team donate funds to provide dialysis for indigent patients. We may also be able to provide acute peritoneal dialysis using adaptations and donated peritoneal dialysis fluids, but we are unable to routinely offer chronic renal replacement therapy. Recently the federal government included six sessions of haemodialysis in the National Health Insurance Scheme. The scheme covers mainly federal government employees, and the general population is not yet widely covered.

Statistical analysis

All data were described using medians, interquartile ranges (IQRs) and proportions as appropriate. We determined the proportion of children with AKI by post-admission Day 1 among paediatric emergency room admissions. The age and gender distribution of patients with AKI, those without AKI and those in whom AKI status could not be determined were compared using the Kruskal–Wallis test. We determined the unadjusted odds ratio (OR; AKI versus non-AKI) for mortality within the first 7 days of admission using logistic regression. A P-value <0.05 indicated statistical significance. Statistical Analysis System (SAS) version 9.4 (SAS Institute, Cary, North Carolina, United States of America) was used to perform the data analysis.

RESULTS

Study population and subject characteristics

A total of 1344 children were admitted to the emergency room over the period. Of these, 822 (61.2%) were approached for recruitment into the study and 628 (76%) were enrolled in the study after obtaining informed consent. AKI status could be determined in 331 patients (52.7%); the AKI status could be determined as they had serum creatinine results by post-admission Day 1. Figure 1 shows participant recruitment, screening and selection. The 331 patients were 0.1–17 years of age and 54% were males. The patients in whom AKI status could not be determined (n = 297) had a median age of 2.1 years (IQR 0.8–6.0) and 58.1% were males. The patients with AKI, those without AKI and those in whom AKI status could not be determined were not significantly different in age (P = 0.06) or gender distribution (P = 0.6).
FIGURE 1

Participant recruitment, screening and selection.

Participant recruitment, screening and selection.

AKI prevalence and characteristics

Table 2 shows the demography, underlying diagnosis and medications by Day 7 of admission for patients with and without AKI. A total of 112 patients (33.8%) met the criteria for AKI [median age of 3.1 years (IQR 0.9–9.4) and 53.2% were males]. The patients without AKI had a median (IQR) age of 1.8 years (IQR 0.7–5.7) and 58.7% were males. The mother’s educational status was available for 291 (87.9%) of the included patients. Among those with AKI, 50 (44.6%) children had mothers who completed high school. In contrast, 119 (54.3%) of the children without AKI had mothers who completed high school (omnibus P = 0.02).
Table 2.

Comparing demographics, diagnosis and medications among patients with and without acute kidney injury (AKI) on Day 1 of admission for those with known AKI status

CharacteristicsAKI (n = 112)No AKI (n = 219)
Demographics
 Age, mean (SD), years3.1 (0.9–9.4)1.8 (0.7–5.7)
 Male sex, n (%)59 (53.2)128 (58.7)
 Mother’s education, n (%)
  None/incomplete high school30 (26.7)30 (13.6)
  Completed high school/degree50 (44.6)119 (54.3)
  Trades/technical17 (15.1)45 (20.5)
  Missing15 (13.3)25 (11.4)
Administered drugs, nephrotoxic agents, n (%)
 Cefuroxime32 (28.6)58 (26.5)
 Gentamicin29 (25.9)94 (42.9)
 Amikacin4 (3.6)13 (5.9)
 Ceftazidime2 (1.8)1 (0.5)
 Ibuprofen2(1.8)12 (5.5)
 Captopril2 (1.8)12 (5.5)
Administered drugs, diuretics, n (%)
 Frusemide26 (23.2)20 (9.1)
 Hydrochlorothiazide10 (8.9)18 (8.2)
Admitting diagnosis and/or presenting complaint, n (%)
 Sepsis37 (33.0)41 (18.7)
 Malaria14 (12.5)61 (27.9)
 Haemoglobinuria (unknown cause)6 (5.4)0 (0.0)
 Acute glomerulonephritis3 (2.7)0 (0.0)
 Acute on chronic kidney disease4 (3.6)0 (0.0)
 Sickle cell disease, (sickle haemoglobin)3 (2.7)23 (10.5)
 Nephrotic syndrome3 (2.7)8 (3.7)
 Posterior urethral valves5 (4.4)0 (0.0)
 Gastroenteritis2 (1.8)a13 (5.9)
 Malignancies4 (3.6)4 (1.8)

Gastroenteritis was also documented in 10 of the patients with AKI and sepsis.

Comparing demographics, diagnosis and medications among patients with and without acute kidney injury (AKI) on Day 1 of admission for those with known AKI status Gastroenteritis was also documented in 10 of the patients with AKI and sepsis. The patients with AKI were older than the patients without AKI [3.1 years (IQR 0.9–9.4) versus 1.8 (0.7–5.7); P = 0.06]. The majority of patients with AKI were in KDIGO Stage 3 [167 (50.5%)]. Stages 1 and 2 each occurred in 82 patients (24.8%). Sepsis was the most frequent underlying diagnosis in the patients with AKI [37 (33.0%)]. The most common infections that were documented in patients with sepsis and AKI were pneumonia [16 (43.2%)], gastroenteritis [10 (27.0%)] and meningitis [7 (18.9%)]. Pneumonia was the most frequently documented infection in patients with sepsis who did not have AKI [13 (31.7%)]. Malaria was the underlying diagnosis in 14 (12.5%) patients with AKI, while primary renal disorders occurred in 15 (13.4%) AKI patients. Haemoglobinuria from an unknown cause was the underlying diagnosis in 6 (5.3%) of the patients with AKI. Among the patients without AKI, the most common disease was malaria, which occurred in 27.9% of the patients, followed by sepsis in 18.1%. Vital status by post-admission Day 7 was known in 273 of 331 (82.4%) patients in whom AKI status could be determined. For the remaining 58 (17.5%) patients we could not determine whether death had occurred by Day 7 of admission because of missing data in the case report forms. Death occurred within the first 7 days of admission in 7 of 98 patients with AKI and in 5 of 175 patients without AKI. When excluding those with unknown vital status, the unadjusted OR for death in AKI versus non-AKI group was 2.6 (95% confidence interval 0.8–8.5). All the patients who needed dialysis received acute dialysis. Twenty-four (21.4%) of the patients with AKI underwent dialysis: 20 had haemodialysis, while 4 had peritoneal dialysis. There were three deaths among the patients who underwent dialysis.

DISCUSSION

We studied patients admitted from a paediatric emergency ward in South West Nigeria and determined the presence or absence of AKI based on available serum creatinine measurements within the first 2 days of admission. AKI was observed in 34% of patients with known AKI status, 17.8% of enrolled patients and at least 8% of all admitted patients during the period of the study. About 20% of patients with AKI received dialysis. In-hospital mortality on admission Day 7 was higher in the patients with AKI. Findings in the present study indicate that the incidence of AKI among paediatric admissions in Nigeria, and possibly other parts of sub-Saharan Africa, may be higher than previously reported [3, 4, 6, 9, 15, 17, 27–29]. In a retrospective study from Ghana, AKI was found in ∼1.3% of paediatric admissions [17]. Our findings are similar to a prospective study from Uganda that noted an AKI prevalence of 13.5% among paediatric patients with gastroenteritis, malaria or pneumonia presenting to the emergency room [18]. The Uganda study did not include patients who presented to the emergency room with other diagnoses. The diagnosis of AKI in our study was enhanced by the use of the KDIGO definition of AKI and the evaluation of all available serum creatinine measurements to determine the patients with AKI [19]. Many previous studies on AKI from sub-Saharan Africa were not based on consensus definitions for AKI and may have underestimated the prevalence of AKI [3, 7, 15, 16]. In addition, studies usually focused on patients who were managed in the paediatric nephrology unit and therefore may not report less severe AKI cases [3, 4, 10, 15–17]. In addition, the diagnosis of AKI may have been enhanced by comparing serum creatinine measurements with estimated baseline serum creatinine in most of our patients. Comparison of serum creatinine with estimated baseline serum creatinine has been noted to diagnose higher numbers of patients with AKI than when paired serum creatinine measurements are utilized [25, 30]. The prevalence of AKI observed in our study was similar to those reported in developed countries. Among hospitalized non-critically ill children in North America, the proportion with AKI was 30% among patients in whom AKI status could be determined and at least 5% among all patients [31]. The distribution of AKI stages in our study indicated that the majority had Stage 3 AKI. This is in contrast to paediatric AKI studies from developed countries that show the majority in Stages 1 and 2 AKI [31, 32]. In a study from Uganda that utilized serial creatinine measurements among patients with severe malaria, KDIGO Stage 1 AKI was documented in the majority (51.9%) of the patients with AKI. One possible explanation for the high proportion of patients with AKI Stage 3 in our study may be because we evaluated only serum creatinine measurements that were carried out in routine management of the patients, thus introducing a detection bias. In the study centre, serum creatinine measurements are more likely to be ordered in the more ill patients, and this may account for the finding that most patients with AKI were in KDIGO Stage 3. Late presentation to the health facility by the majority of patients may be an additional cause for the predominance of KDIGO AKI Stage 3. We found that sepsis, malaria and primary renal disorders were the most common causes of AKI. Sepsis, malaria and primary renal disorders have been identified as important causes of AKI in various studies from sub-Saharan Africa [3, 4, 6, 10, 11, 15–17, 29, 33]. Gastroenteritis was associated with AKI in ∼10% of the cases and this is consistent with previous studies from sub-Saharan Africa, which indicate that gastroenteritis is a common aetiology or associated co-morbidity in patients with AKI [3, 8, 15, 18, 29]. Malignancies were not a common cause of AKI in our cohort study. This may be partly due to our study design in which we reported AKI within the first 2 days of emergency room admissions. Two studies from sub-Saharan Africa have noted malignancies to be common causes of AKI [15, 17]. Renal replacement therapy was required in about one-fifth of the patients with AKI. The proportion of patients with AKI who needed dialysis in our study, although high, is less than the pooled prevalence of 66% in a review of published papers on paediatric AKI in sub-Saharan Africa [11]. The lower proportion of patients who need dialysis may be due to differences in the definition of AKI. However, our study indicates that ∼20% of patients with AKI may need renal replacement therapy. Mortality was higher in patients with AKI compared with patients without AKI. Our unit has the advantage that we were able to provide renal replacement therapy for patients with AKI either with adapted peritoneal dialysis catheters or haemodialysis, and AKI mortality is likely to be worse in settings without access to paediatric renal replacement therapy.

LIMITATIONS

Our study is susceptible to a case ascertainment bias where sicker patients who required blood work and/or patients whose family can afford to carry out blood tests were diagnosed more frequently with AKI and those without blood work or opportunity to perform blood work were missed. We did not measure serum creatinine at pre-specified time points in all consented patients due to a lack of funding to conduct these tests. Therefore some cases of AKI were missed. The true incidence among all admitted patients is probably between 8.3% and 34%. Furthermore, we did not include patients with AKI based on urine output criteria, due to a lack of strict recording of urine output during routine clinical care. We did not assess for hospital-acquired AKI, as AKI ascertainment was limited to the first 2 days of admission. The sample size and incomplete data reporting may have limited our ability to detect a statistically significant association of AKI with in-hospital mortality. Mortality outcome data were also limited to Day 7 of admission, and we conducted no further follow-up. Similarly, we did not have information on renal outcomes in those with AKI. Additionally, we conducted a single-centre study in a fee-paying university hospital and results may not be generalizable to other parts of sub-Saharan Africa, including more rural settings. Furthermore, our study did not include neonates, and these findings may not be generalizable to neonates in sub-Saharan Africa.

CONCLUSION

AKI is a common problem among children admitted from a paediatric emergency room in a tertiary centre in South West Nigeria and patients with AKI experience high mortality. Our study highlights the need to provide renal replacement therapy for AKI in low-resource settings and also to develop evidence-based clinical pathways for screening and management of AKI among hospitalized patients. We have also demonstrated the feasibility of large prospective studies of paediatric AKI in developing countries and the potential for reducing preventable deaths.
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