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Article

Prevalence of Albuminuria in Children Living in a Rural Agricultural and Fishing Subsistence Community in Lake Chapala, Mexico

by
Felipe Lozano-Kasten
,
Erick Sierra-Diaz
*,
Alfredo De Jesus Celis-de la Rosa
,
María Margarita Soto Gutiérrez
,
Alejandro Aarón Peregrina Lucano
and
Research Group on Social and Environmental Determinants in Childhood
Public Health Department, University of Guadalajara, C.P. 44340 Guadalajara, Jalisco, Mexico
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2017, 14(12), 1577; https://doi.org/10.3390/ijerph14121577
Submission received: 9 November 2017 / Revised: 9 December 2017 / Accepted: 10 December 2017 / Published: 14 December 2017
(This article belongs to the Section Health Behavior, Chronic Disease and Health Promotion)

Abstract

:
The occurrence of Chronic Kidney Disease (CKD) of unknown etiology in autochthonous child populations residing along the Lake Chapala lakeshore is endemic (Jalisco, México). The objective of this study was to determine the prevalence of albuminuria in the pediatric population and to measure the glomerular filtration rate in children with two positive albuminuria tests. Urinary albumin was measured in 394 children. Subjects with two or more positive albuminuria test donated blood samples for the determination of serum biomarkers. From a rural community with 565 children under the age of 17 years, 394 (69.7%) participated with first morning urine samples. A total of 180 children were positive (with two or more positive albuminuria tests). The prevalence of albuminuria among the children participating in the study was 45.7%. Of the 180 children with persistent albuminuria, 160 (88.9%) were tested for serum creatinine, urea, and cystatin C. The 68.1% of the children studied, were found in stages 3a and 3b of the Kidney Disease Improving Global Outcomes (KDIGO) classification (mean glomerular filtration rate (GFR) 51.9 and 38.4 mL/min/1.73 m2 respectively). The lowest frequencies were for classifications 1 and 4. None of the subjects was classified as grade 5. The prevalence of albuminuria in children from this rural community is 3–5 times higher than reported in international literature. Regarding GFR, more than 50% of children studied are under 60 mL/min/1.73 m2. It is a priority to find the causes of albuminuria and CKD in this Mexican region.

1. Introduction

The occurrence of Chronic Kidney Disease (CKD) of unknown etiology in autochthonous child populations residing along the Lake Chapala lakeshore is endemic, mainly in the Poncitlán Municipality. CKD was mainly observed by population and health services at the beginning of the 1990s. It has been more than 20 years and the perception of the population is that CKD has increased. Part of the population and human right defenders affirm that the cause is found in the thermal water that is delivered to the communities from deep wells of the zone or in that extracted from Lake Chapala, although few inhabitants drink it (unpublished information, provided by University of Guadalajara academician). To date, there are no studies or data, to our knowledge, that could explain the high prevalence and/or causes of this decrease in glomerular filtration rate (GFR) in this population. Previous water-quality studies performed in this region by different of governmental and social agencies, in which heavy metals were sought, have not found that their results fell outside of the Mexican normative regulations.
At the beginning of 2016, the University of Guadalajara initiated an investigation project in the community of Agua Caliente localized on the shore of Lake Chapala. In this work, the authors included the determination of albumin in the urine of children aged less than six years who attended a kindergarten in the community. The prevalence of albuminuria as seen in these children was 18% (first morning urine sample).
Albuminuria is an early sign of possible damage to the kidney and is been used since the decade of the 1960s [1]. Since that time, measuring albuminuria has been used in the clinical field as a tool to measure kidney injury associated with diabetes mellitus and hypertension [2,3]. Once the relationship was established between albuminuria and kidney damage, methods for its quantification began to evolve, making them more rapid and precise [4].
Currently, albuminuria is recognized as a kidney and cardiovascular damage predictor, not only in patients with diabetes, but also in apparently healthy subjects. Its prevalence is reported as 7.2% in general population [5]. Most of the studies have been conducted in adults. However, in recent years, the trend has been aroused in detection at an early age due to future effects. In Japan, this method has been used since 1979 for the detection of kidney diseases in children (under the age of 19 years) [6], and other countries—such as Australia, England, Norway, the U.S., and Italy—have implemented this practice since the mid-1980s [7]. Information on prevalence is limited but is reported as approximately 7% [8]. Another study reported that the median ACR (albumin/creatinine ratio) of the random morning urine specimen for children <10 years was 2.91 vs. 2.28 mg/g (p < 0.001) for children ≥10 years. The median urinary albumin concentration for children <10 years was significantly higher than in children ≥10 years (2.53 vs. 2.09 µg/mL; p = 0.008). More recently, an Australian study considered 975 children aged 5–18 years. The overall prevalence of albuminuria, as defined by an ACR greater than 30 mg/g, was 12.8% (95% CI 9.9–15.6). In males, the frequency of albuminuria was 10.2% (95% CI 6.1–14.2) and in females, it was 15.5% (95% CI 10.7–20.3) [9,10,11].
In the available literature, there is enough information regarding albuminuria associated with diseases such as diabetes, hypertension, cardiopathies, and human immunodeficiency virus infection (HIV) in addition to different nephropathies in minors. The aims of this work are to describe the prevalence of albuminuria in general pediatric population from a rural community (Agua Caliente) in Jalisco, Mexico and to measure the glomerular filtration rate (GFR) (by means of the quantification of serum levels of creatinine, blood urea nitrogen (BUN), and cystatin C) in children identified with albuminuria.

2. Materials and Methods

In the community of Agua Caliente, Jalisco, a cross-sectional study was conducted after authorization of the Ethics Committee of the Public Health Department of the University of Guadalajara (DCSP/CEI/2016/10/176). As the first step, a census was taken of the population to identify the total number of inhabitants under 17 years who were invited to participate in the first stage of the project, which began in September 2016. The second step was to obtain sociodemographic and anthropometric data.
Informed consent was obtained from all individual participants included in the study (parents and children). Two first morning urine samples with an interval of 12 weeks were requested for participants. The samples were analyzed with reactive strips for the detection of human albumin Micral-Test®, (Roche Diagnostics GmbH, Mannheim, Germany). In those presenting two positive tests for albuminuria, blood tests were carried out for creatinine, urea, and cystatin C Diazyme’s Cystatin C Calibrator Set® for immunoturbidometry assay, (Diazyme Laboratories, Inc., San Diego, CA, USA). All subjects in this group had blood pressure, weight, height, and body mass index (BMI) measures. From the data obtained, we calculated the GFR [12], which was adjusted to the body surface [13]. Based on the GFR, subjects were classified by grade of CKD according to guidelines of the Kidney Disease Improving Global Outcomes (KDIGO) clinical practice guidelines scale [14].
For data reporting, absolute frequencies, proportions, central trend measurements, confidence intervals (95%) were used. Data from the study were analyzed using Excel® (Microsoft, Redmond, WA, USA) and SPSS® (IBM, Armonk, NY, USA) software.

3. Results

Through a census carried out by academic personnel of the University of Guadalajara, it was determined that there is a population of 950 inhabitants, among whom 565 children under the age of 17 years were accounted for (Table 1). In this stage of the investigation, 394 (69.7%) children participated with two albuminuria tests, and some of them with more than two tests in order to confirm results. Children who were not included in the study were because their parents did not agree to participate. Seven children under one year with negative results were excluded. A total of 180 children were positive (with two or more positive albuminuria tests). The prevalence of albuminuria among the children participating in the study was 45.7% (95% CI: 40.7–50.8).
The Table 2 shows the data corresponding to height, weight, body mass index (BMI), and blood pressure of the two groups.
Distribution between positive and negative albuminuria frequency by age is depicted in Table 3.
Of the 180 children with persistent albuminuria, 20 were excluded by incomplete data and because their parents did not want to continue in the study. The remaining 160 (88.9%) donated blood for the determination of creatinine, urea, and cystatin C: 78 girls (42.4%) with an average age of 8.04 years (minimal age, three years; and maximal age, four years) and 82 boys with an average age of 7.46 years (minimal age, 1 year, maximal age, 17 years).
The result of the glomerular filtration rate is depicted in Table 4. The 68.1% of the children studied in this second step, were found in stages 3a and 3b of the KDIGO classification. The lowest frequencies were for classifications 1 and 4. None of the subjects was classified as grade 5.
In the group of children studied with positive albuminuria, none of the participants presented grade 5 CKD (Chronic Kidney Disease).

4. Discussion

Our results show an alarming prevalence of albuminuria in the children of this rural community. The observed prevalence was almost three to five times higher than international literature reports (45.7% vs. 2.2% to 12.8%) [8,9,10,11]. It is important to mention that 30.3% of the children from the community were not taken into account for the calculation of the prevalence. Even assuming that this 30.3% were negative for albuminuria, and were taken into account for the calculation, the prevalence would continue to be alarming (31.8%).
Regarding with glomerular filtration rate (GFR) obtained from the study subjects in stages 3a and 3b, the average calculated was 51.9 and 38.4 mL/min/1.73 m2, respectively. Based on KDIGO recommendations, in any child with GFR <60 mL/min/1.73 m2, a complete review of their past history and the clinical context should be considered in order to determine the cause(s) of kidney disease [14]. Even more important is the result obtained in 16 children between the ages of 2 and 10 years, in whom we calculated an average GFR of 27.6 mL/min/1.73 m2 (KDIGO 4) which may imply a potential health risk for these children due to the possibility of their advancing to stage 5.
With the results obtained to date, the usefulness is clear of the measurement of albumin in urine as a detection tool. Although the latter has been established as a method of scrutiny in Asiatic countries, international consensus does not yet exist on its use [15]. In the international literature, the association has been mentioned of albuminuria with environmental [16,17,18,19,20], demographic [21,22,23,24,25], infectious [26,27,28], non-infectious [29,30,31,32,33], and congenital [34,35,36,37,38,39,40] type factors.
In Australia, a study reported the prevalence of albuminuria of 7.3% in Aboriginal and non-Aboriginal children. The socioeconomic level and geographical situation were discarded as risk factors, after a two-year follow up [25]. From 2009–2011, in El Salvador, a study was carried on in 2115 children aged from 2–17 years, inhabitants in agricultural communities. The work reported prevalence of albuminuria up to 3.8 for both genders. It was also reported that the prevalence of CKD was up to 4.1 in women and of 3.6% in men. The glomerular filtration rate was carried out in 1960 of the participants and the authors did not utilize cystatin C for the calculation; the study results revealed that the average was greater than 140-mL/min/1.73 m2 [41]. The reported prevalence of albuminuria is found below the international mean, and even very much below that reported in our study (3.8% vs. 47.5%). It is clear the difference in regards to GFR (>140 vs. 48.7 mL/min/1.73 m2).
In Mexico, CKD in children is a problem that has been informed by different media. Multiple journalistic notes have reported health problems related with CKD. The Mexican states with the greatest number of notes of this type are Jalisco, Aguascalientes, and San Luis Potosí.
In 2008, Gongora, through the Health Institute of State of Aguacalientes, in collaboration with the British Columbia Centre for Disease Control, of Vancouver, Canada, carried out a study in which the authors evaluated 2712 schoolchildren, from 79 schools, with an average age of 9.23 years, finding 27.4% of the children with alterations in urine. A total of 19 children (0.7%) presented CKD, which established the prevalence of 700 cases in 100,000. Proteinuria was most frequent in boys in relation to girls (5.6% vs. 2.7%, respectively; p < 0.00001). With regards to CKD stages, stage II (47.4%) was the most frequent, followed by stages III (26.3%), I (15.7%), and IV and V (5.3% each) [42].
At mid-2016, Cárdenas published a study in which was related exposure to environmental contaminants and CKD in children in San Luis Potosí. The work was carried out in a community with 10,383 inhabitants. The community members noticed an unusual number of young adults with kidney diseases in the area. Data from the Ministry of Health of the State of San Luis Potosí reported that genitourinary diseases comprised the third cause of death in the region. These data also indicated that 25% of the population was found in a situation of extreme poverty, 22.6% did not have running water in their homes, and 66% lacked access to health services. The study design was transversal, which included 107 girls and boys between the ages of 5 and 12 years, who responded to questionnaires and analyses of heavy metals such as arsenic, cadmium, chromium (Cr), and fluorine in urine, in addition to lead in serum lead. These results were related to other tests for determination of kidney function (Cr and GFR). The GFR mean was 93.4 and 84 mL/min for girls and boys, respectively. The novelty of the work lies in the association of the urinary concentrations of heavy metals outside of the normative regulations, with non-conventional kidney markers (KIM-1, NGAL, and miR21) [43].
Regarding the Community of Agua Caliente, Poncitlán, Jalisco, health problems have been more noticeable over last months. To date, to our knowledge, there are no data or studies that could explain the high prevalence of and/or causes of this increase in CKD in this population and in some others in the same area. However, since 2012, the University of Guadalajara has conducted field research in the area that describes the environmental problems that affect the population health [44].
The community of Agua Caliente is a locality at a distance, in which nearly 100% of the inhabitants have similar life conditions, highlighting the situation of extreme poverty. Among the shared problems, we find some uses and customs, as well as the lack of prevention and health-promotion strategies. The Agua Caliente community has a kindergarten, a primary school, a secondary school, and a primary-level health center with a morning schedule. One of the main economic activities of the community is agriculture (37.9%), specifically the cultivation of vegetable pears. The remainder of the population is dedicated to activities such as fishing, construction, and household tasks. The principal food sources are the fish that are directly extracted from Lake Chapala and the consumption of fruits and vegetables cultivated in the community. Other products (milk, rice, beans, and canned products) are obtained from stores in the community or through government aid. The water that the inhabitants consume is bottled and derives from local bottlers. For food preparation, 94% of households cook with firewood. The community does not have trash collection services; thus, in 94% of homes, trash is burned on a daily basis.
In addition to smoke pollution, The University of Guadalajara researchers detected other problems, such as the non-monitored use of agrochemicals, alcoholism, extreme poverty, child malnutrition, intestinal parasitosis, and gender inequity. All of these factors put the health of the population at risk, especially in children.
These antecedents could suggest some hypotheses with respect to the cause of CKD in children, and while these studies do not coincide in the variables measured, it is evident that there is a problem that is not solved to date, it is even more important to know the situation of hundreds of communities throughout the Mexican Republic that entertain the same conditions, or even poorer ones, that those of the population of Agua Caliente.
One of the limitations of our study is the lack of non-exposed population, that is, children who do not live in the community, in order to compare the results. The community’s characteristics are very particular. The children studied share many characteristics that differ in great part with other populations. A certain advantage is that not including children from other places allows us to minimize confounding factors. It is noteworthy that we are planning to implement the same investigation model in other communities in the state of Jalisco that have similar problems but that are found at a great distance from Lake Chapala and that additionally have other uses and customs.

5. Conclusions

At present, this is only an initial report of a cohort study, a project of great importance for the University of Guadalajara in association with New York University and the Government of the State of Jalisco. It is impossible to ignore the alarming nature of the data because there exists the probability that other communities in Mexico have the same problem. The principal perspective is to identify and define the causal (probably multicausal) model in order to collaborate with an efficient medical design and to diminish the prevalence of CKD in the community and to assess its external validity to apply it in other communities localized at a distance with similar problems. However, much remains to be investigated in order to arrive at the core of the problem and to find a solution to it. Willingness of the part of University of Guadalajara authorities and the participation of the population in collaborating with the study comprise the greatest strengths of our investigation. It is impossible to avoid mentioning the strength of academicians, researchers, and university students who actively participate in the investigation, all with the purpose of creating and collecting knowledge on this phenomenon, which additionally affects an important part of the vulnerable population, one of the most important public health problems in Mexico.

Acknowledgments

Funding was provided by the Public Health Department of the University of Guadalajara. Funds for covering the costs to publish in open access will be provided by the authors.

Author Contributions

All authors participated actively in this research. In the same way, all participated in the writing of the manuscript. Felipe Lozano-Kasten, Erick Sierra-Diaz, and Alfredo de Jesus Celis-de la Rosa performed the experiments, analyzed the data, and wrote the paper. María Margarita Soto Gutiérrez and Alejandro Aarón Peregrina Lucano performed the experiments (urine and blood samples). The Research Group on Social and Environmental Determinants in Childhood collected demographic data in the community and urine and blood sampling. The Research Group on Social and Environmental Determinants in Childhood members: Rosalid Cano-Ruiz, Alfredo Celis-Orozco, Carlos David González-López, Horacio Guzman-Torres, Astrid Selene Espinoza-García, Gabriela Luna-Hernández, Norma Guadalupe Ruiz Velasco-Sandoval.

Conflicts of Interest

The authors declare that they have no conflict of interest.

References

  1. Peterson, P.A.; Evrin, P.E.; Berggård, I. Differentiation of glomerular, tubular, and normal proteinuria: Determinations of urinary excretion of β2-macroglobulin, albumin, and total protein. J. Clin. Investig. 1969, 48, 1189–1198. [Google Scholar] [CrossRef] [PubMed]
  2. Parving, H.H.; Oxenbøll, B.; Svendsen, P.A.; Christiansen, J.S.; Andersen, A.R. Early detection of patients at risk of developing diabetic nephropathy. A longitudinal study of urinary albumin excretion. Acta Endocrinol. 1982, 100, 550–555. [Google Scholar] [PubMed]
  3. Losito, A.; Fortunati, F.; Zampi, I.; Del Favero, A. Impaired renal functional reserve and albuminuria in essential hypertension. Br. Med. J. (Clin. Res. Ed.) 1988, 296, 1562–1564. [Google Scholar] [CrossRef]
  4. Chavers, B.M.; Simonson, J.; Michael, A.F. A solid phase fluorescent immunoassay for the measurement of human urinary albumin. Kidney Int. 1984, 25, 576–578. [Google Scholar] [CrossRef] [PubMed]
  5. Hillege, H.L.; Janssen, W.M.; Bak, A.A.; Diercks, G.F.; Grobbee, D.E.; Crijns, H.J.; Van Gilst, W.H.; De Zeeuw, D.; De Jong, P.E.; Prevend Study Group. Microalbuminuria is common, also in a nondiabetic, nonhypertensive population, and an independent indicator of cardiovascular risk factors and cardiovascular morbidity. J. Intern. Med. 2001, 249, 519–526. [Google Scholar] [CrossRef] [PubMed]
  6. Murakami, M.; Yamamoto, H.; Ueda, Y.; Murakami, K.; Yamauchi, K. Urinary screening of elementary and junior high-school children over a 13-year period in Tokyo. Pediatr. Nephrol. 1991, 5, 50–53. [Google Scholar] [CrossRef] [PubMed]
  7. Rademacher, E.R.; Sinaiko, A.R. Albuminuria in children. Curr. Opin. Nephrol. Hypertens. 2009, 18, 246–251. [Google Scholar] [CrossRef] [PubMed]
  8. Van den Belt, S.M.; Gracchi, V.; de Zeeuw, D.; Heerspink, H.J. Comparison of urine collection methods for albuminuria assessment in young children. Clin. Chim. Acta 2016, 458, 120–123. [Google Scholar] [CrossRef] [PubMed]
  9. Hirschler, V.; Molinari, C.; Maccallini, G.; Aranda, C. Is albuminuria associated with obesity in school children? Pediatr. Diabetes 2010, 11, 322–330. [Google Scholar] [CrossRef] [PubMed]
  10. Larkins, N.; Teixera-Pinto, A.; Craig, J. The population-based prevalence of albuminuria in children. Pediatr. Nephrol. 2017, 32, 2303–2309. [Google Scholar] [CrossRef] [PubMed]
  11. Sierra-Diaz, E.; Celis-de la Rosa, A.; Lozano-Kasten, F.; Bravo-Cuellar, A.; Garcia-Gutierrez, M.; Hernandez-Flores, G. Non-Traditional Risk Factors of Albuminuria in the Pediatric Population: A Scoping Review. Int. J. Environ. Res. Public Health 2017, 14, 1231. [Google Scholar] [CrossRef] [PubMed]
  12. Schwartz, G.J.; Schneider, M.F.; Maier, P.S.; Moxey-Mims, M.; Dharnidharka, V.R.; Warady, B.A.; Furth, S.L.; Muñoz, A. Improved equations estimating GFR in children with chronic kidney disease using an immunonephelometric determination of cystatin C. Kidney Int. 2012, 82, 445–453. [Google Scholar] [CrossRef] [PubMed]
  13. Furqan, M.; Haque, A. Surface area in children: A simple formula. Indian Pediatr. 2009, 46, 1085–1087. [Google Scholar] [PubMed]
  14. Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group KDIGO 2 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. Suppl. 2013, 3, 1–150. [CrossRef]
  15. Hogg, R.J. Screening for CKD in children: A global controversy. Clin. J. Am. Soc. Nephrol. 2009, 4, 509–515. [Google Scholar] [CrossRef] [PubMed]
  16. Trasande, L.; Attina, T.M.; Trachtman, H. Bisphenol A exposure is associated with low-grade urinary albumin excretion in children of the United States. Kidney Int. 2013, 83, 741–748. [Google Scholar] [CrossRef] [PubMed]
  17. Trasande, L.; Sathyanarayana, S.; Trachtman, H. Dietary phthalates and low-grade albuminuria in US children and adolescents. Clin. J. Am. Soc. Nephrol. 2014, 9, 100–109. [Google Scholar] [CrossRef] [PubMed]
  18. Chan, I.H.; Kong, A.P.; Leung, T.F.; Tsui, T.K.; Cheung, R.C.; Osaki, R.; Ho, C.S.; Wong, G.W.; Wong, C.K.; Lam, C.W.; et al. Cadmium and lead in Hong Kong school children. Pathology 2012, 44, 626–631. [Google Scholar] [CrossRef] [PubMed]
  19. Noonan, C.W.; Sarasua, S.M.; Campagna, D.; Kathman, S.J.; Lybarger, J.A.; Mueller, P.W. Effects of exposure to low levels of environmental cadmium on renal biomarkers. Environ. Health Perspect. 2002, 110, 151–155. [Google Scholar] [CrossRef] [PubMed]
  20. Hogan, S.L.; Vupputuri, S.; Guo, X.; Cai, J.; Colindres, R.E.; Heiss, G.; Coresh, J. Association of cigarette smoking with albuminuria in the United States: The third National Health and Nutrition Examination Survey. Ren. Fail. 2007, 29, 133–142. [Google Scholar] [CrossRef] [PubMed]
  21. Davies, A.G.; Postlethwaite, R.J.; Price, D.A.; Burn, J.L.; Houlton, C.A.; Fielding, B.A. Urinary albumin excretion in school children. Arch. Dis. Child. 1984, 59, 625–630. [Google Scholar] [CrossRef] [PubMed]
  22. Gracchi, V.; van den Belt, S.M.; Küpers, L.K.; Corpeleijn, E.; de Zeeuw, D.; Heerspink, H.J. Prevalence and distribution of (micro)albuminuria in toddlers. Nephrol. Dial. Transplant. 2016, 31, 1686–1692. [Google Scholar] [CrossRef] [PubMed]
  23. Wu, D.; Yang, H.; Luo, J.; Zhang, G.; Li, S.; Wang, M.; Tang, X.; Wang, Z.; Xu, Z.; Li, Q. Age- and gender-specific reference values for urine albumin/creatinine ratio in children of southwest China. Clin. Chim. Acta 2014, 431, 239–243. [Google Scholar] [CrossRef] [PubMed]
  24. Trachtenberg, F.; Barregård, L. The effect of age, sex, and race on urinary markers of kidney damage in children. Am. J. Kidney Dis. 2007, 50, 938–945. [Google Scholar] [CrossRef] [PubMed]
  25. Haysom, L.; Williams, R.; Hodson, E.; Roy, L.P.; Lyle, D.; Craig, J.C. Early chronic kidney disease in Aboriginal and non-Aboriginal Australian children: Remoteness, socioeconomic disadvantage or race? Kidney Int. 2007, 71, 787–794. [Google Scholar] [CrossRef] [PubMed]
  26. Kwak, B.O.; Chung, S.; Kim, K.S. Microalbuminuria in children with urinary tract infection. Korean J. Pediatr. 2010, 53, 840–844. [Google Scholar] [CrossRef] [PubMed]
  27. Karlén, J.; Linné, T.; Wikstad, I.; Aperia, A. Incidence of microalbuminuria in children with pyelonephritic scarring. Pediatr. Nephrol. 1996, 10, 705–708. [Google Scholar] [CrossRef] [PubMed]
  28. Lopez-Gonzalez, M.A.; Lucas, M.; Mata, F.; Delgado, F. Microalbuminuria as renal marker in recurrent acute tonsillitis and tonsillar hypertrophy in children. Int. J. Pediatr. Otorhinolaryngol. 1999, 50, 119–124. [Google Scholar] [CrossRef]
  29. Di Bonito, P.; Sanguigno, E.; Forziato, C.; Di Fraia, T.; Moio, N.; Cavuto, L.; Sibilio, G.; Iardino, M.R.; Di Carluccio, C.; Capaldo, B. Glomerular filtration rate and cardiometabolic risk in an outpatient pediatric population with high prevalence of obesity. Obesity 2014, 22, 585–589. [Google Scholar] [CrossRef] [PubMed]
  30. Lurbe, E.; Torro, M.I.; Alvarez, J.; Aguilar, F.; Fernandez-Formoso, J.A.; Redon, J. Prevalence and factors related to urinary albumin excretion in obese youths. J. Hypertens. 2013, 31, 2230–2236. [Google Scholar] [CrossRef] [PubMed]
  31. Radhakishun, N.N.; van Vliet, M.; von Rosenstiel, I.A.; Beijnen, J.H.; Diamant, M. Limited value of routine microalbuminuria assessment in multi-ethnic obese children. Pediatr. Nephrol. 2013, 28, 1145–1149. [Google Scholar] [CrossRef] [PubMed]
  32. Nguyen, S.; McCulloch, C.; Brakeman, P.; Portale, A.; Hsu, C.Y. Being overweight modifies the association between cardiovascular risk factors and microalbuminuria in adolescents. Pediatrics 2008, 121, 37–45. [Google Scholar] [CrossRef] [PubMed]
  33. Varlami, V.; Malakasioti, G.; Alexopoulos, E.I.; Theologi, V.; Theophanous, E.; Liakos, N.; Daskalopoulou, E.; Gourgoulianis, K.; Kaditis, A.G. Low-grade albuminuria in children with obstructive sleep apnea. J. Sleep Res. 2013, 22, 289–294. [Google Scholar] [CrossRef] [PubMed]
  34. De Lucas, C.; Nocea, A.; San, R.J.; Espínola, B.; Ecija, J.L.; Vázquez Martul, M. Solitary kidney. Study of renal morphology and function in 95 children. Nefrologia 2006, 26, 56–63. [Google Scholar] [PubMed]
  35. Shirzai, A.; Yildiz, N.; Biyikli, N.; Ustunsoy, S.; Benzer, M.; Alpay, H. Is microalbuminuria a risk factor for hypertension in children with solitary kidney? Pediatr. Nephrol. 2014, 29, 283–288. [Google Scholar] [CrossRef] [PubMed]
  36. Kolvek, G.; Podracka, L.; Rosenberger, J.; Stewart, R.E.; van Dijk, J.P.; Reijneveld, S.A. Solitary functioning kidney in children—A follow-up study. Kidney Blood Press. Res. 2014, 39, 272–278. [Google Scholar] [CrossRef] [PubMed]
  37. Sharp, C.; Johnson, A.; Gabow, P. Factors relating to urinary protein excretion in children with autosomal dominant polycystic kidney disease. J. Am. Soc. Nephrol. 1998, 9, 1908–1914. [Google Scholar] [PubMed]
  38. Cadnapaphornchai, M.A.; McFann, K.; Strain, J.D.; Masoumi, A.; Schrier, R.W. Prospective change in renal volume and function in children with ADPKD. Clin. J. Am. Soc. Nephrol. 2009, 4, 820–829. [Google Scholar] [CrossRef] [PubMed]
  39. Selistre, L.; de Souza, V.; Ranchin, B.; Hadj-Aissa, A.; Cochat, P.; Dubourg, L. Early renal abnormalities in children with postnatally diagnosed autosomal dominant polycystic kidney disease. Pediatr. Nephrol. 2012, 27, 1589–1593. [Google Scholar] [CrossRef] [PubMed]
  40. Lama, G.; Tedesco, M.A.; Graziano, L.; Calabrese, E.; Grassia, C.; Natale, F.; Pacileo, G.; Rambaldi, P.F.; Esposito-Salsano, M. Reflux nephropathy and hypertension: Correlation with the progression of renal damage. Pediatr. Nephrol. 2003, 18, 241–245. [Google Scholar] [CrossRef] [PubMed]
  41. Orantes-Navarro, C.M.; Herrera-Valdés, R.; Almaguer-López, M.; Brizuela-Díaz, E.G.; Alvarado-Ascencio, A.P.; Fuentes-de Morales, E.J.; Bayarre-Vea, H.D.; Calero-Brizuela, D.J.; Vela-Parada, X.F.; Zelaya-Quezada, S.M. Chronic kidney disease in children and adolescents in salvadoran farming communities: NefroSalva pediatric study (2009–2011). MEDICC Rev. 2016, 18, 15–22. [Google Scholar]
  42. Gongora, J.; Serna, F.; Gutierrez, M.; Perez, C.; Hernández, E.; Ron, O. Prevalencia de enfermedad renal crónica en niños de Aguascalientes, México. Salud Pública Mex. 2008, 50, 436–437. [Google Scholar] [CrossRef]
  43. Cárdenas-González, M.; Osorio-Yáñez, C.; Gaspar-Ramírez, O.; Pavković, M.; Ochoa-Martínez, A.; López-Ventura, D.; Medeiros, M.; Barbier, O.C.; Pérez-Maldonado, I.N.; Sabbisetti, V.S.; et al. Environmental exposure to arsenic and chromium in children is associated with kidney injury molecule-1. Environ. Res. 2016, 150, 653–662. [Google Scholar] [CrossRef] [PubMed]
  44. Lozano, F.; Trasande, L.; García, A.; Bopp, R.; Padilla, L. Determinación de metilmercurio en cabello del recién nacido como evaluación de exposición gestacional. Perinatol. Reprod. Hum. 2015, 29, 2–7. [Google Scholar] [CrossRef]
Table 1. Frequencies of albuminuria in children studied in the community of Agua Caliente, Jalisco.
Table 1. Frequencies of albuminuria in children studied in the community of Agua Caliente, Jalisco.
CasesFrequencyPercentage (95% CI *)
Participating Children39469.7
Persistent albuminuria18045.7 (40.7–50.8)
Negative albuminuria21454.3 (49.3–59.3)
Non-participants17130.3
Total565100.0
* 95% Confidence Interval estimated by Fisher Exact at OpenEpi.com.
Table 2. Data related to height, weight, BMI, and blood pressure in children with albuminuria positive and negative test.
Table 2. Data related to height, weight, BMI, and blood pressure in children with albuminuria positive and negative test.
Age Group (Years)VariableAlbuminurianMeanSD95% CI Ap B
1–4Weight (kg)No3213.953.221279–15110.49
Yes2714.842.221396–1572
Height (cm)No3294.2511.659005–98450.61
Yes2796.487.069369–9927
BMINo3215.632.191484–16420.61
Yes2715.921.531531–1653
Systolic BP (mmHg)No3287.258.548417–90330.87
Yes2788.4414.378276–9412
Diastolic BP (mmHg)No3253.347.645059–56090.83
Yes2754.5210.905021–5883
5–9Weight (kg)No10022.284.242144–23120.16
Yes8421.574.912050–2264
Height (cm)No100118.878.5111,718–12,0560.72
Yes84118.4310.2811,620–12,066
BMINo10015.651.481536–15940.01
Yes8415.181.921476–1560
Systolic BP (mmHg)No10089.5211.068733–91710.48
Yes8491.409.148942–9338
Diastolic BP (mmHg)No10055.367.545386–56860.94
Yes8455.447.885373–5715
10–14Weight (kg)No7636.067.803428–37840.38
Yes4634.908.833228–3752
Height (cm)No76139.8318.1013,569–14,3970.51
Yes46140.058.8513,742–14,268
BMINo7617.732.381719–18270.45
Yes4617.5020.611138–2362
Systolic BP (mmHg)No76113.6398.359116–13,6100.73
Yes46100.7812.049720–10,436
Diastolic BP (mmHg)No7665.879.766364–68100.27
Yes4664.099.826117–6701
15–17Weight (kg)No553.628.624292–64320.57
Yes357.37.593845–7615
Height (cm)No6153.1715.4613,695–16,9390.12
Yes3167.478.9514,524–18,970
BMINo521.264.171608–26440.65
Yes320.401.731610–2470
Systolic BP (mmHg)No6109.0010.689779–12,0210.44
Yes3116.003.0010,855–12,345
Diastolic BP (mmHg)No666.1711.025461–77730.04
Yes379.673.067207–8727
A Mean confidence interval. B p values correspond to differences between positive and negative albuminuria groups estimated by Mann–Whitney U test.
Table 3. Distribution of groups by age.
Table 3. Distribution of groups by age.
Age GroupNegative AlbuminuriaPositive Albuminuria95% CI * for Positive Albuminuria
1–4 years32 (54.2%)27 (45.8%)32.7–59.3
5–9 years100 (54.3%)84 (45.7%)38.3–53.1
10–14 years76 (62.3%)46 (37.7%)29.0–46.9
15–17 years6 (66.7%)3 (33.3%)7.5–70.0
Total214 (57.2%)160 (42.8%)37.7–48.0
* 95% Confidence Interval estimated by Fisher Exact at OpenEpi.com.
Table 4. Frequency and distribution of the Glomerular Filtration Rates (GFR) in the different age groups.
Table 4. Frequency and distribution of the Glomerular Filtration Rates (GFR) in the different age groups.
Age GroupGFR G1GFR G2GFR G3aGFR G3bGFR G4Total
<1 year000000
1–4 years011141127
5–9 years073142484
10–14 years223155146
15–17 years021003
Total233486116160
(1.3%)(20.6%)(30%)(38.1%)(10%)(100%)
Prevalence (95% CI) * [n = 374]0.53 (0.07–1.9)8.8 (6.2–12.1)12.8 (9.6–16.7)16.3 (12.7–20.5)4.3 (2.5–6.9)42.8 (37.7–48.0)
* 95% Confidence Interval estimated by Fisher Exact at OpenEpi.com.

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MDPI and ACS Style

Lozano-Kasten, F.; Sierra-Diaz, E.; De Jesus Celis-de la Rosa, A.; Margarita Soto Gutiérrez, M.; Aarón Peregrina Lucano, A.; Research Group on Social and Environmental Determinants in Childhood. Prevalence of Albuminuria in Children Living in a Rural Agricultural and Fishing Subsistence Community in Lake Chapala, Mexico. Int. J. Environ. Res. Public Health 2017, 14, 1577. https://doi.org/10.3390/ijerph14121577

AMA Style

Lozano-Kasten F, Sierra-Diaz E, De Jesus Celis-de la Rosa A, Margarita Soto Gutiérrez M, Aarón Peregrina Lucano A, Research Group on Social and Environmental Determinants in Childhood. Prevalence of Albuminuria in Children Living in a Rural Agricultural and Fishing Subsistence Community in Lake Chapala, Mexico. International Journal of Environmental Research and Public Health. 2017; 14(12):1577. https://doi.org/10.3390/ijerph14121577

Chicago/Turabian Style

Lozano-Kasten, Felipe, Erick Sierra-Diaz, Alfredo De Jesus Celis-de la Rosa, María Margarita Soto Gutiérrez, Alejandro Aarón Peregrina Lucano, and Research Group on Social and Environmental Determinants in Childhood. 2017. "Prevalence of Albuminuria in Children Living in a Rural Agricultural and Fishing Subsistence Community in Lake Chapala, Mexico" International Journal of Environmental Research and Public Health 14, no. 12: 1577. https://doi.org/10.3390/ijerph14121577

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