1. Background
The cystic renal disorders are a heterogeneous and hereditary disease described by cystic changes in the kidneys. The two major inherited types are the autosomal recessive polycystic kidney disease (ARPKD) and autosomal dominant polycystic kidney disease (1, 2). The autosomal recessive polycystic kidney disease is a comparatively usual form of the childhood polycystic kidney disease and the frequency of it is 1: 20 000 in neonates (3). Different degrees of hepatic anomalies are connected with renal changes in ARPKD, biliary dysgenesis and hepatic fibrosis are included (4). The kidneys are enlarged, with small cysts, < 5 mm, limited to the collecting tubules (5). The autosomal recessive polycystic kidney disease is most often diagnosed by third trimester antenatal ultrasounds that may demonstrate oligohydramnios, flank masses, or absence of fetal vesicle filling. If it remains antenatally undiagnosed, delivery of neonates may be difficult due to large masses in flank (4). Palpable masses in flank and a large liver are the most usual primary presentations of ARPKD leading to respiratory insufficiency, hypertension and urinary tract infections (3). The autosomal recessive polycystic kidney disease may followed by electrolyte abnormalities, pulmonary hypoplasia, oligohydramnious and the Potter’s syndrome (6). Thirty percent of patients who present with large kidneys die in the infancy due to respiratory inadequacy and presumably many of these cases have undiagnosed ARPKD (4). Different mutations of PKHD1 are known that can cause ARPKD and their average detection rate is almost 85% (7). On the other hand, mutations in PKHD1 have also been identified in about 30% of children with congenital hepatic fibrosis (the Caroli’s syndrome) without evident kidney involvement (5). In recent years, molecular analysis of patients and comprehensive studies of sibling have shown the effect of the factors described in a variety of monogenic diseases. Exploration of the genetic cause of the polycystic kidney disease (PKD) in humans revealed that genotype-phenotype correlations are now possible in these disorders. It is certainly estimated that nongenetic factors, including environmental exposures, significantly influence the severity of renal disease and other extrarenal manifestations in PKD (8).
2. Objectives
The present study aimed at investigating the possible link between ARPKD and its epidemiologic factors, hypothesizing that these epidemiologic conditions would increase the risk of ARPKD.
3. Methods
In this case-control study, 60 children with ARPKD and 60 noninfected children were studied during 1 year. The study size was determined by our statistics consultant and samples were randomly selected. Our inclusion criterion was ARPKD based on the physician’s diagnosis. The exclusion criterion was parents’ disagreement regarding their children’s participation in our study. Patients were diagnosed based on Specific diagnostic criteria of ARPKD:
• Typical findings on renal imaging and,
• One or more of the following:
- Imaging findings consistent with biliary ductal ectasia.
- Clinical/laboratory signs of congenital hepatic fibrosis (CHF) that leads to portal hypertension and may be indicated by hepatosplenomegaly and/or esophageal varices.
- Hepatobiliary pathology demonstrating a characteristic developmental biliary ductal plate abnormality and resultant CHF.
- Absence of renal enlargement and/or characteristic imaging findings in both parents, as demonstrated by high-resolution ultrasonography (HRUS) examination.
- Pathologic (biopsy or autopsy) or genetic diagnosis of ARPKD in an affected sib (9).
We evaluated epidemiologic characteristics of the patients and used logistic regression analysis to measure the possible link between ARPKD and its epidemiologic factors. Epidemiologic characteristics were 1) age at diagnosis of ARPKD (< 2, 3 - 6, 7 - 12 and 12 < months), 2) sex (male and female), 3) family education (below high school, high school diploma, Bachelor’s degree and master’s degree), 4) family occupation: (employee, worker, self-employment and housewife for mothers), 5) the average monthly salary of family (< 300, 300 - 600 and 600 < $), 6) drinking water (tap water or purified water with household devices), 7) failure to thrive (FTT), 8) stunted growth, 9) slow growth, 10) good growth, 11) milk intake (maternal milk or powdered milk), 12) infant body mass index (BMI, kg/m2), 13) place of residence in urban or rural areas, and 14) gestational week (preterm < 37, term 37 - 42, and postterm > 42). Data were analyzed using the SPSS software version 18.
4. Results
The mean age of the studied infants was 11 months at the time of ARPKD diagnosis. The mean age of the control group was 20 months (Table 1). A domination of one gender among the case or control group was not observed (58.3% of the cases and 63.3% of the controls were females). The distribution of all studied epidemiologic factors was similar in the two groups (Table 2). Regarding the growth status, FTT was not observed in the cases or controls. Stunted growth was found in 16.6% of the cases and controls (P = 1). Also, 28.3% of the cases and 25% of the controls had slow growth (P = 0.978); 55% of the cases and 58.3% of the controls had good growth (P = 0.978). Eighty-five percent of the cases and controls were fed with maternal milk (P = 1). Moreover, 88.3% of the cases and controls lived in urban areas (P = 1).
Table 1.
Distribution of Age in the Study Groupa
| Age ,Month | < 2 | 3 - 7 | 7 - 12 | < 12 | Mean |
|---|---|---|---|---|---|
| Case | 9 (15) | 22 (36.6) | 14 (23.3) | 15 (25) | 11.01 |
| Control | 0 | 0 | 14 (23.3) | 46 (76.6) | 20.5 |
aValues are expressed as No. (%).
Table 2.
Epidemiologic Characteristics of the Study Groupa
| Epidemiologic Factors | Case | Control | P Valueb | |
|---|---|---|---|---|
| Father’s education | Below high school | 4 (6.6) | 4 (6.6) | 0.999 |
| High school diploma | 25 (41.6) | 26 (43.3) | ||
| Bachelor’s degree | 23 (38.3) | 23 (38.3) | ||
| Master’s degree and more | 8 (13.3) | 7 (11.6) | ||
| Mother’s education | Below high school | 7 (11.6) | 7 (11.6) | 1.00 |
| High school diploma | 27 (45) | 27 (45) | ||
| Bachelor’s degree | 25 (41.6) | 25 (41.6) | ||
| Master’s degree and more | 1 (1.6) | 1 (1.6) | ||
| Father’s occupation | Employee | 26 (43.3) | 26 (43.3) | 1.00 |
| Worker | 26 (43.3) | 26 (43.3) | ||
| Self-employment | 8 (13.3) | 8 (13.3) | ||
| Mother’s occupation | Employee | 18 (30) | 18 (30) | 1.00 |
| Worker | 9 (15) | 9 (15) | ||
| Self-employment | 10 (16.6) | 10 (16.6) | ||
| Housewife | 23 (38.3) | 23 (38.3) | ||
| Average monthly salary of family | < 300 $ | 5 (8.3) | 5 (8.3) | 0.982 |
| 300 - 600 $ | 28 (46.6) | 29 (48.3) | ||
| 600 < $ | 27 (45) | 26 (43.3) | ||
| Gestational age | Preterm | 14 (23.3) | 13(21.6) | 0.976 |
| Term | 45 (75) | 46 (76.6) | ||
| Post term | 1 (1.6) | 1 (1.6) | ||
| Infant BMI | < 18.5 | 6 (10) | 6 (10) | 1.00 |
| 18.5 - 24.9 | 35 (58.3) | 35 (58.3) | ||
| 25 - 29.9 | 13 (21.6) | 13 (21.6) | ||
| 30 < | 6 (10) | 6 (10) | ||
| Place of residence | Rural | 53 (88.3) | 53 (88.3) | 1.00 |
| Urban | 7 (11.6) | 7 (11.6) | ||
| Milk intake | Maternal milk | 51 (85) | 51 (85) | 1.00 |
| Powdered milk | 9 (15) | 9 (15) | ||
| Drinking water | Tap water | 54 (90) | 53 (88.3) | 0.965 |
| Purified water | 6 (10) | 7 (11.7) | ||
| Gender | Male | 25 (41.6) | 22 (36.6) | 0.575 |
| Female | 35 (58.3) | 38 (63.3) |
Abbreviation: BMI, body mass index.
aValues are expressed as No. (%).
bP values less than 0.05 were considered significant.
5. Discussion
We conducted this study to evaluate a possible link between ARPKD and its epidemiologic factors, to distinguish predictors that may influence the penetration of PKHD1.According to the results of the present study; there was no significant correlation between the studied factors and frequency of ARPKD. Early death in infancy, end-stage renal disease (ESRD) in survivals and symptom-free patients until old age are the variable phenotypes of PKD (10-13), which indicate that genetic is not the only effective factor in this disease (8). Recent studies have shown that environmental factors are one of the causes of phenotypic variability in PKD (8). Male hormonal factors, caffeine exposure and smoking have been shown to be as predisposing factors for rapid growth of the renal cyst, increasing the risk of CKD and ESRD in patients with the renal disease including the ADPKD (14-17). Among men, early onset of hypertension, and early and frequent gross hematuria, and among women, three or more pregnancies are also known as predictors associated with ADPKD (18).
5.1. Conclusion
We hope that our findings will provide the impetus for more comprehensives studies in future to determine the predisposing conditions and clinical consequences of children with ARPKD with the aim of studying the pathophysiology due to better management of ARPKD and to evaluate even if adjustment of these conditions can influence the frequency of ARPKD. As mentioned before, some recent studies have shown that there are some nongenetic conditions that influence the PKD. Probably the reason of finding no correlation between environmental factors and the frequency of ARPKD is due to the strong effect of genetic factors. Another reason may be the small population of our study and limited factors, which had been evaluated.
5.2. Limitations of the Study
A limitation of our study was a small proportion of patients. We suggest multicentric studies on this aspect of kidney diseases.
