Báo cáo nghiên cứu khoa học: "Một số yếu tố quyết định của nhiễm trùng đường tiết niệu ở trẻ em từ 2 tháng đến 6 tuổi ở Hải Phòng Việt Nam trong năm 2008"

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Nội dung Text: Báo cáo nghiên cứu khoa học: "Một số yếu tố quyết định của nhiễm trùng đường tiết niệu ở trẻ em từ 2 tháng đến 6 tuổi ở Hải Phòng Việt Nam trong năm 2008"

JOURNAL OF SCIENCE, Hue University, N0 61, 2010 SOME DETERMINANTS OF URINARY TRACT INFECTION IN CHILDREN FROM 2 MONTHS TO 6 YEARS OLD IN HAI PHONG VIETNAM IN 2008 Dang Van Chuc, Nguyen Ngoc Sang, Dang Viet Linh SUMMARY This research was conducted to establish some determinants of urinary tract infections (UTI) in children from 2 months to 6 years old in some areas of Haiphong in 2008. Method: Cross-sectional study. Results and Conclusions: “Poverty”, “Underweight weight malnutrition”, “Phimosis” and incorrect washing method after children have passed stools were statistically significant with the presence of UTI using a logistic regression analysis. There was a relationship between UTI development, poverty and poor knowledge of child hygiene. Keyword: Urinary Tract Infection, Determinant. 1. Introduction Urinary Tract Infections (UTI) are of interest to scientists because they can lead to renal scarring, which causes dangerous complications when children grow up such as: anemia, hypertension (7-17%), preeclampsia, eclampsia, renal failure and end stage nephropathologies. Most research has been conducted in hospitals to determine the incidence of UTI, type of bacteria and treatment effectiveness. In Vietnam, no studies have been conducted in the community to evaluate the Prevalence rate, In particular, to determine some risk factors of UTI. Therefore, this study was conducted with the following objectives: Determine some risk factors of UTI in children from 2 months to 6 years old in some areas of Haiphong, Vietnam. 2. Methodology 2.1. Population and study time All children from 2 months to 6 years old in some areas of Haiphong. Study duration: 7/2007-10/2007. Criteria of UTI: Leucocyturia ≥ 30/mm3 and bacteriuria ≥ 105/ml urine. 2.2. Method Study location 31
3 districts representative of Haiphong district, which were coastal, rural and urban. Study design Cross-sectional and descriptive study. Sample size was calculated according to the following formula: p 1  p  n  Z 12  /2 d2 n: Sample size Z21-α/2 = (1, 96)2 (confidence 95%) p = 0, 04 (UTI rate in children of Haiphong after Nguyen Ngoc Sang et al in one commune in 2005) d= (p*) or 20% of p So approximately 4610 children were needed for the study. Sampling process: Multistage sampling was used. The 3 districts chosen were Kien An (urban), Kien Thuy (coastal) and Thuy Nguyen (rural). The 9 communes/ quarters selected were Nam son, Trang Minh and Van Dau (Kien An), Dai Ha, Tan Trao and Ngu Doan (Kien Thuy), Phuc Le, Lap Le and Pha Le (Thuy Nguyen). Data collection: + Identification of UTI: We carried out screening of midstream urine of children in the morning to detect UTIs. In the previous night and in the morning the child’s genitals were cleaned using safe water and soap. The first urine was eliminated and 5 ml of midstream urine was collected in a neutral tube. If the urine sample has leucocyturia ≥ 30/mm3, it was cultured to identify bacteriuria. A UTI was identified if urine sample had both leucocyturia ≥ 30/mm3 and bacteriuria ≥105/ml. + Parental interview: Parental interview of socio-economic conditions, and the child’s history of disease. + Complete examination: Pediatricians examined children for diseases, particularly genitor-urinary diseases. Anthropometry was completed to evaluate children’s nutritional status. 32
Data treatment: SPSS version 13.0 was used for entering and analyzing data, determining UTI rate and risk factors. Cases were dependent variables and socio-economic conditions, child’s diseases were independent variables. UTI and risk factors were associated when OR>1, p
care of paternal child care of child* Direct care 44 1.9 Remarks: Significant factors with asterisk included “maternal education level less than secondary school”, “poverty”, “indirect paternal care of the child”. With multivariable analysis, only “poverty” remained significant . Table 2. The relationship of socio-economic conditions and UTIs (continued). OR OR Bi Risk Multi Exposure n Rate % 95%CI 95%CI factors variables variables Indirect Maternal 71 3.9 maternal care 1.9 1.4-2.8 care of of child* child Direct care 57 2.0 Stable 73 2.5 House 0.7 0.5-1.1 Unstable 55 3.3 Unhygienic 58 2.3 lavatory Lavatory 0.65 0.4-0.9 Hygienic 70 3.4 lavatory < 20 m2 98 2.5 House’s 0.5 0.3-0.8 square ≥ 20 m2 30 4.3 Remarks: “Indirect maternal care of the child” had a statistically significant association with UTI in bivariate analysis but it was not significant in multivariable analysis. Others were not significantly associated with UTI. Table 3. The relationship between hygienic factors and UTI. OR OR Bi Risk 95% Multi Exposure n Rate % 95%CI factors CI variables variables Clean* 102 3.3 Hygiene 1.3- after 1.9 3.0 26 1.8 Clean and urination 34
washing Yes* 23 5.8 1.5- Diaper 2.4 3.8 No 105 2.5 Clean * 99 3.2 Hygiene 1.1- 1.7 Clean and after stool 2.6 29 1.9 washing Remark: Factors such as “Incorrect washing method after urination and Passing stools”, and “diapers”, were significantly associated with UTI in bivariate analysis but they were not significantly associated in the multivariable one. Table 4. The relationship of hygienic factors with UTI (continued). OR OR Bi Risk Multi Exposure n Rate % 95%CI 95%CI factors variables variables Back- 123 2.9 ward* Way of 2.6 1.1-6.3 1.9 1.2-3.9 washing Back- after stool ward, in 5 1.2 place Yes 94 2.6 Kinder- 0.9 0.5-1.1 garten No 34 3.3 Yes 16 2.5 Preschool 0.8 0.5-1.4 No 112 2.8 Remark: Factors such as “incorrect washing method after urination and passing stools” were statistically significant in bivariate and multivariable analysis. Others were not significant. Table 5. The relationship of child’s diseases and UTIS. OR OR Bi Risk Multi Exposure n Rate % 95%CI 95%CI factors variables variables Stunting Yes * 49 3.5 1.4 1.0-2.1 35
No 79 2.4 Yes * 41 4.0 Under 1.6 1.1-2.4 1.7 1.1-3.3 weight No 87 2.4 Yes * 26 4.7 Wasting 1.97 1.3-3.3 No 102 2.5 Yes * 30 6.6 3.7- 3.7- Phimosis 6.6 6.7 11.9 12.2 No 19 1.0 Yes * 44 4.6 Consti 2.0 1.4-2.9 pation No 84 2.3 Yes * 81 3.3 Enuresis 1.5 1.1-2.3 No 45 2.1 Remark: Factors marked with an asterisk were significant in bivariate analysis, including “Malnutrition of all kinds”, “phimosis”, “constipation” and “enuresis”. In multivariable analysis, only “phimosis and “low weight malnutrition” were significantly associated with UTIS. 4. Discussion 4.1. Socio-economic conditions and maternal education level: Table 1, 2 showed that “poverty”, paternal education level under secondary school”, and “indirect paternal care of child” were significantly associated with UTI. The results revealed the relationship between poverty, ignorance and disease. People with low education levels generally do not earn a high income later in life. Once being poor, parents have to work hard and so they do not have enough time to take care of their child, they are not able to get access to medical services and their child’s disease makes them become poorer. In multivariable analysis, only “poverty” remained significantly associated with UTI (OR = 2, 9). 4.2. Paternal practice for UTI prevention: Table 3, 4 showed that “incorrect method of cleaning after urination”, “diapers”, “clean after stool”, and “incorrect washing methods after stools” were risk factors of UTIs. According to Gal and Steven Use of an incorrect hygiene method after urination and stools helps bacteria colonize on the perineal surface and then penetrate into urinary tract and cause UTI. In multivariable analysis, “incorrect washing method after stool 36
was significantly associated with UTI” OR =1.9. 4.3. Other accompanied diseases and genitor-urinary abnormalies: Table 5 indicated that “malnutrition of all kinds”, “phimosis”, “constipation” and “enuresis” was risk factors. When a child was malnourished, his immune status was reduced so they were more susceptible to bacterial infection. Phimosis was an anchor of bacteria that penetrated into the urinaty tract in favorable conditions. According to Gal and Steven, when children have constipation, the urinary tract is suppressed and this causes urinary stagnation contributing to bacterial development leading to UTI. Enuresis contributes to good colonization of bacteria on the perineal surface and then penetrates into the urinary tract. In multivariable analysis, “phimosis” with OR=6.7 and “low weight malnutrition” with OR=1.7 were associated with UTI. 5. Conclusion Risk factors such as “poverty”, “Under weight malnutrition”, “phimosis” and “incorrect washing method” were associated with UTI using multivariable analyze. The model revealed the relationship between UTI, poverty and a Poor knowledge of child hygiene. REFERENCES 1. Steven L et al. Pediatric Urinary Tract Infections. Pediatric Clin N Am 53. 2006; 379- 400. 2. Le Nam Tra et al. Malnutrition in children. Pediatric book, volume I. Hanoi Publish house. 2001; 199-207. 3. Braslavsky et al. Recurrence risk in infants with urinary tract infections and a negative radiographic evaluation. J Urol 172. 2004; (4 Pt2): 1610-3. 4. Yan A et al. Adequacy of urinary tract infections management among minority underserved children. Pediatric Nephrol 19.2004; (12): 1375-8. 5. Gal Finer et al. Pathogenesis of urinary tract infection with normal female anatomy. The Lancet Infect Dis 4. 2004; 631-635. 6. Le Nam Tra et al. Urinary tract infection in children. Pediatric book, volume II. Hanoi Publish house. 2001; 168-176. 7. Gram N et coll. L’infections urinaires Ðcidivantes de l’enfant. Rev Maghr PÐdiatr IX, 1. 1999; 3-14. 8. Zorc JJ et al. Clinical and demographic factors associated with urinary tract infection in infants in young febrile infants. Pediatrics. 2005; 116(3): 644-8. 37