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Objective: To determine the prevalence of urinary abnormalities in asymptomatic school children.
Methods: This observational study was conducted at King Edward Medical University/Mayo Hospital Lahore. Children of 5-15 year of age from Central Model School, Lower Mall, Lahore were included from March to May, 2022. Children having prior renal or systemic disease, on steroids and menstruating girls at the time of urinalysis were excluded. In first screening, children's urine was collected in clean 20mL vessel and examined using urinary dipstick. Children with aberrant results were re-screened after two weeks.
Result: Out of total 1600 children, majority were male 1416(88.5%) with mean age 11.92±2.47 years. Urinary abnormalities were observed in 278(17.38%) children on first screening and 86(5.38%) on second screening. Isolated proteinuria was present in 131(8.19%) children on first screening and 26(1.62%) on second screening. Isolated hematuria was present in 100(6.50%) on first screening and 33(2.06%) on second screening. Isolated pyuria was present in 24(1.50%) on first screening and 14(0.88%) on second screening. Combined proteinuria and hematuria were present in 10(0.62%) on first screening and two (0.12%) on second screening. Combined proteinuria and pyuria were present in three (0.19%) on first screening and three (0.19%) on second screening. Combined hematuria and pyuria were present in nine (0.56%) on first screening and five (0.31%) on second screening. Combined proteinuria, hematuria and pyuria was present in one (0.06%) on first screening and three (0.19%) on second screening.
Conclusion: Urine screening is necessary for early detection and management of kidney diseases. Marked number of children was found having urinary abnormalities. Asymptomatic proteinuria was the most common finding reflecting underlying kidney pathology going undiagnosed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11613395 | PMC |
http://dx.doi.org/10.12669/pjms.40.11.8878 | DOI Listing |
Oral Maxillofac Surg
September 2025
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology &, Biomaterials and Digital Medical Devices, National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral, Beijing, China. lxm474
Objectives: This study aims to describe the cone-beam computed tomography (CBCT) characteristics of external root resorption (ERR) in second molars associated with impacted third molars.
Methods: This study analyzed 69 s molars diagnosed with ERR caused by impacted third molars in 52 patients (age range: 22-59 years; mean age = 31.2 ± 7.
Abdom Radiol (NY)
September 2025
Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Objectives: This study aims to evaluate the diagnostic accuracy of ultrasonography for acute colonic diverticulitis (ACD) and its ability to differentiate between uncomplicated and complicated diverticulitis.
Methods: A comprehensive literature search was conducted from database inception to November 2024. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to appraise study quality.
Int J Surg
September 2025
Department of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Sonazoid, a combined blood pool and Kupffer-cell agent, can be specifically phagocytosed by Kupffer cells in the liver, allowing lesion detection and characterization of focal liver lesions (FLLs) at the post-vascular phase apart from the vascular phase which is similar to that of other second-generation US contrast agents. Sonazoid CEUS is currently approved for use in some Asian countries. With the increasing use of Sonazoid CEUS for FLLs in clinical practice, developing consensus or guidelines to help standardize its use is required.
View Article and Find Full Text PDFRadiol Artif Intell
September 2025
Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China.
Purpose To assess the effectiveness of an explainable deep learning (DL) model, developed using multiparametric MRI (mpMRI) features, in improving diagnostic accuracy and efficiency of radiologists for classification of focal liver lesions (FLLs). Materials and Methods FLLs ≥ 1 cm in diameter at mpMRI were included in the study. nn-Unet and Liver Imaging Feature Transformer (LIFT) models were developed using retrospective data from one hospital (January 2018-August 2023).
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