Background: Urinalysis is a commonly performed test for the diagnosis and prognosis of kidney disease in hospitalized patients. It involves examining the chemical composition of the urine and microscopy to examine the cells and casts. In clinical settings, urinalysis is frequently delayed by several hours after sample collection and held at room temperature. The purpose of this study is to investigate the changes in urine composition over set time intervals to confirm the reliability of urinalysis when there are delays in performing the tests.
Methods: We obtained 15 mL of urine from the Foley catheters of five patients in the intensive care unit. We utilized the state-of-the-art IDEXX SediVue Dx ® machine to perform urine microscopy and the Siemens CLINITEK Status + Urine Analyzer to perform the dipstick tests. We performed microscopy and dipstick tests at 0, 1, 2, 4, and 6 h. Between the two testing methods, 30 individual components were tested in the urine. We calculated the %CV for each component by taking four repeated measurements at one time period for multiple samples.
Results: After calculating the %CV for each component, we analyzed the trend for each constituent over the 6 h. If the percent change over the six-hour interval was ± twofold than the %CV, we determined time to influence the results. Significant changes were seen in bacteria as the levels increased, red blood cells and pathological casts where the level decreased, and crystal levels were determined inconclusive due to fluctuations in the results. All other components were found to remain unchanged.
Conclusions: Timely urine analysis is necessary for accurate results as delayed analysis can considerably change the makeup of urine, which can affect clinical decisions and patient management.
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http://dx.doi.org/10.1186/s12882-024-03933-z | DOI Listing |
NAR Genom Bioinform
March 2025
Departments of Medicine and Pediatrics, Division of Infectious Diseases and Global Health, University of California San Francisco School of Medicine, 550 16th Street, 4th Floor Mission Hall, San Francisco, CA, 94158, USA.
Whole genome sequencing (WGS) is pivotal for the molecular characterization of ()-the leading bacterial cause of sexually transmitted infections and infectious blindness worldwide. WGS can inform epidemiologic, public health and outbreak investigations of these human-restricted pathogens. However, challenges persist in generating high-quality genomes for downstream analyses given its obligate intracellular nature and difficulty with propagation.
View Article and Find Full Text PDFCrit Care Resusc
December 2024
Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia.
Background: Severe intensive care unit-acquired hypernatraemia (ICU-AH) is a serious complication of critical illness. However, there is no detailed information on how this condition develops.
Objectives: The objective of this study was to study the prevalence, risk factors, trajectory, management, and outcome of severe ICU-AH (≥155 mmol·L).
Clin Kidney J
January 2025
Department of Clinical Epidemiology, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Background: Rates of chronic kidney disease (CKD) may change with ageing populations, rising metabolic and cardiovascular disease prevalence, increasing CKD awareness and new treatments. We examined sex-specific temporal trends in CKD incidence and prevalence from 2011 through 2021.
Methods: We conducted a population-based cohort study among adults residing in the North and Central Denmark Regions (population ∼1.
Clin Kidney J
January 2025
Department of Medicine, Division of Nephrology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Background: Although kidney biopsy is definitive for the diagnosis of acute interstitial nephritis (AIN) and acute tubular necrosis (ATN), its invasiveness limits its use. We aimed to identify urine biomarkers for differentiating AIN and ATN and to predict the response of patients with AIN to steroid treatment.
Methods: In this prospective cohort study, biopsy-proven ATN ( = 34) and AIN ( = 55) were included.
J Cancer
January 2025
Department of Oncology, The First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
Establishing the causal links between biomarkers and cancer enhances understanding of risk factors and facilitates the discovery of therapeutic targets. To this end, we used Mendelian randomization (MR) and colocalization analysis to explore the causal relationship of blood and urinary biomarkers (BUBs) with urological cancers (UCs). First, we used a two-sample MR study to explore the causal relationship between 33 BUBs and 4 UCs, while we performed reverse Mendelian randomization.
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