Observational Study
Copyright ©2016 Baishideng Publishing Group Co.
World J Nephrol. Mar 6, 2016; 5(2): 213-219
Published online Mar 6, 2016. doi: 10.5527/wjn.v5.i2.213
Table 1 Socio-demographic characteristics of study sample (89 patients)
Variablen (%)Mean (SD)
Current age (yr)11.3 (4.12)
1-41 (1.1)
5-930 (33.7)
10-1436 (40.4)
15-1822 (24.7)
Gender
Male51 (57.3)
Female38 (42.7)
Race
Malay76 (85.4)
Chinese9 (10.1)
Others4 (4.5)
Aetiology
Glomerular61 (68.5)
CAKUT20 (22.5)
Tubulointerstitial8 (9.0)
Table 2 Anthropometric, clinical and laboratory characteristics of the study sample
Variablenn (%)Mean (SD)Median (IQR)
Weight in kilogram87-29.90 (23.60)1
< 5th percentile22 (25.3)
≥ 5th percentile65 (74.7)
Height in cm74-123.70 (27.60)2
< 5th percentile23 (31.1)
≥ 5th percentile51 (68.9)
Systolic blood pressure (mmHg)79111.8 (13.86)-
Diastolic blood pressure (mmHg)7970.9 (10.40)-
Normal40 (50.6)
Pre-hypertensive12 (15.2)
Stage 1 hypertension21 (26.6)
Stage 2 hypertension6 (7.6)
Haemoglobin level (g/dL)8212.7 (1.65)-
Normal63 (76.8)
Anaemia19 (23.2)
eGFR (mL/min per 1.73 m2)86124.6 (52.99)-
Stage 1 (> 90)70 (81.4)
Stage 2 (60-89)6 (7.0)
Stage 3 (30-59)4 (4.7)
Stage 4 (15-29)2 (2.3)
Stage 5 (< 15)4 (4.7)
Proteinuria82--
Yes42 (51.2)
No40 (48.8)
Haematuria82--
Yes21 (25.6)
No61 (74.4)
Table 3 Correlation between glomerular filtration rate, current age and age of diagnosis with weight and height
WeightHeight
GFRCorrelation coefficient0.16810.1761
P value0.1250.140
n8572
Current ageCorrelation coefficient0.60910.5412
P value0.0010.001
n8774
Age at diagnosisCorrelation coefficient0.45010.3682
P value< 0.0010.002
n8471
Table 4 Relationship between gender and aetiology with weight and height
Weight
χ2 statistic (df)P value1Height
χ2 statistic (df)P value1
< 5th percentile≥ 5th percentile< 5th percentile≥ 5th percentile
n (%)n (%)n (%)n (%)
Gender
Male9 (17.6)42 (82.4)3.810.05110 (21.7)36 (78.3)4.950.026
Female13 (36.1)23 (63.9)(1)13 (46.4)15 (53.6)(1)
Aetiology
Glomerular9 (15.0)51 (85.0)10.830.00110 (20.0)40 (80.0)8.840.003
Non-glomerular13 (48.1)14 (51.9)(1)13 (54.2)11 (45.8)(1)
Table 5 Comparisons of paediatric epidemiological data from different countries from 1990-2015
PeriodNo. of patientsMain aetiologyMale/female ratioMean age at diagnosisGFR/CKD stageIncidencePrevalence
Brunei2004-201389GN (69%)1.34.5Mainly CKD 1 (81%)91736 (CKD1)
132 (CKD2 and above)
83 (CKD3 and above)
50 (CKD4 and above)
33 (CKD5)
Italy[10]1990-20001197CAKUT (58%)2.06.9GFR 42 (mean)12.175
Belgium[11]2001-2005143CAKUT (59%)1.33.0Mainly CKD 3 (67%)11.956
Spain[12]2007-20086051.93.9GFR 52 (mean)8.771
United States[15]1994-20077037CAKUT (48%)
Kuwait[16]1996-2003171CAKUT 62%2.733 mo30% of patient reached ESRD within 18 mo of diagnosis38-55
Vietnam[17]2001-20051521.711.365% received RRT5.1
Sudan[18]2001-2006205GN 25%1.79.863% of cohort reached ESRD during the follow up period
Turkey[19]2005282“Urological problem” 44.3%1.38.0CKD2-511.9
Thailand[20]1982-2005101GN 35%1.6Not rareDouble in last 6 yr of research
Jordan[21]1988-2001202CAKUT 42%1.37.559/202 patients require RRT10.751
China[22]1990-20021658GN 52%1.58.18Mean serum creatinine 594.7 mmol/L