| Literature DB >> 35547544 |
Tingting Chen1,2, Qing Yang1,2, Hong Xu3, Yinv Gong3, Xiaoling Guo2,4, Hongzhou Lin1,2, Jianhuan Yang1,2, Jieqiu Zhuang1,2, Junwei Lan1,2, Maoping Chu1, Dexuan Wang1,2,4.
Abstract
School urinary screening programming can be useful for the early detection of renal and urinary disorders. However, urine screening is not included in the school health check-up in our region. Therefore, from February 2012 to March 2021, 12,497 school students were screened for urinalysis, and a long-term follow-up took place via an electronic medical record system. Among these screened students, 719 (5.75%) positive individuals received a repeat urinalysis 2 weeks later. During the 9-year medical record system follow-up period, 5 children had renal biopsies and 2 children had a diagnosis of IgA nephropathy (IgAN), while the remaining 3 children were diagnosed with thin basement membrane disease (TBM), primary nephrotic syndrome (PNS), and were suspected of C3 glomerulopathy, respectively. By this, calling for the school urine screening program as a physical examination item for primary and secondary school-aged students will contribute to enabling early detection of urine abnormalities and allow for early treatment.Entities:
Keywords: children; dipstick urine analysis; hematuria; proteinuria; urinary screening
Year: 2022 PMID: 35547544 PMCID: PMC9081790 DOI: 10.3389/fped.2022.862029
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.418
FIGURE 1Screening of primary and secondary school children and their follow-up.
Distribution of positive screening by grade [n (%)].
| Age group | Actual number of screenings | IH | IP | CHP | |||||
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| Primary | 6550 | 178 (2.72) | 33 (0.50) | 23 (0.35) | |||||
| Secondary | 5947 | 339 (5.70) | 107 (1.80) | 39 (0.66) | 0.038 | ||||
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| |||||||||
| Primary | 234 | 27 (11.54) | 5 (2.14) | 4 (1.71) | |||||
| Secondary | 485 | 57 (11.75) | 34 (7.01) | 4 (0.82) | 0.02 | 0.069 | 1.000 | 0.099 | <0.001 |
*Fisher exact probability method; Pairwise comparisons were Bonferroni corrected; Numbers in the parenthesis indicate percentage.
Distribution of positive screening by sex [n (%)].
| Sex | Actual number of screenings | IH | IP | CHP | |||||
|
| |||||||||
| Male | 6863 | 216 (3.15) | 100 (1.46) | 24 (0.35) | |||||
| Female | 5634 | 301 (5.34) | 40 (0.71) | 38 (0.67) | 0.001 | ||||
|
| |||||||||
| Male | 340 | 33 (9.71) | 31 (9.12) | 3 (0.88) | |||||
| Female | 379 | 51 (13.46) | 8 (2.11) | 5 (1.32) | < 0.001 | <0.001 | 1.000 | 0.083 | 0.419 |
*Fisher exact probability method; Pairwise comparisons were Bonferroni corrected; Numbers in the parenthesis indicate percentage.
Differences in lost to follow-up rates by grade [n].
| Follow-up time ≥ 3 years | Follow-up time<3 years | X2 | ||
| Primary | 6 | 50 | ||
| Secondary | 6 | 52 | 0.95 | >0.05 |
Cost composition of a single detection of urine dipstick.
| Items | Screening cost ($) | |
| Articles | Medical disposable latex gloves | 0.03 |
| Urine cup and sterile tube | 0.09 | |
| Urine dipstick | 0.25 | |
| Photocopying (questionnaire) | 0.08 | |
| Labor fee/time | Medical staff | 0.16 |
| Total cost | 0.61 |