scholarly journals Urinary creatinine adjustment for uranium and kidney outcomes from lead workers

2014 ◽  
Vol 25 (1) ◽  
pp. 119-120
Author(s):  
Tomoyuki Kawada
Keyword(s):  
Urinary Creatinine ◽  
Lead Workers

Influence of Radioiodine Therapy on Urinary Iodine Excretion

1998 ◽  
Vol 37 (03) ◽  
pp. 107-112 ◽  
Author(s):  
I. Lauer ◽  
M. Bähre ◽  
E. Richter ◽  
B. Melier
Keyword(s):  
Time Course ◽  
Radioiodine Therapy ◽  
Urinary Iodine ◽  
Target Volume ◽  
Urinary Iodine Excretion ◽  
Urinary Creatinine ◽  
Iodine Excretion ◽  
Kinetics Of ◽  
Persistent Elevation ◽  
Benign Thyroid

Summary Aim: In 214 patients with benign thyroid diseases the time-course of urinary iodine excretion (UIE) was investigated in order to identify changes after radioiodine therapy (RITh). Method: UIE was measured photometrically (cerium-arsenite method) and related to urinary creatinine on the first and last day of the radioiodine test and then three days, seven days, four weeks, and six months after 1311 administration. Results: As compared with the level found immediately before radioiodine therapy, median UIE had almost doubled four weeks after therapy and was still significantly elevated six months after therapy. This increase correlated significantly with the target volume as measured by scintigraphy and sonography. Conclusions: The persistent elevation of UIE for months after RITh is a measure of treatment-induced damage to thyrocytes. Therefore, in view of the unfavourable kinetics of iodine that follow it, RITh should if possible be given via a single-dose regime.

The study of lead related symptoms and biological indices of leadabsorption in lead workers

1991 ◽  
Vol 3 (1) ◽  
pp. 65
Author(s):  
Byung Kook Lee ◽  
Je Seong Nam ◽  
Kyu Dong Ahn ◽  
Taek Sung Nam
Keyword(s):  
Biological Indices ◽  
Lead Workers

Different diuresis-dependent excretions of urinary enzymes: N-acetyl-beta-D-glucosaminidase, alanine aminopeptidase, alkaline phosphatase, and gamma-glutamyltransferase.

1986 ◽  
Vol 32 (3) ◽  
pp. 529-532 ◽  
Author(s):  
K Jung ◽  
G Schulze ◽  
C Reinholdt
Keyword(s):  
Alkaline Phosphatase ◽  
Brush Border ◽  
Excretion Rate ◽  
Urine Flow ◽  
High Intake ◽  
Brush Border Enzymes ◽  
Urinary Creatinine ◽  
Gamma Glutamyltransferase ◽  
Alanine Aminopeptidase ◽  
Brush Border Enzyme

Abstract We studied how much of the lysosomal enzyme N-acetyl-beta-D-glucosaminidase (EC 3.2.1.30) and of the brush-border enzymes alanine aminopeptidase (EC 3.4.11.2), alkaline phosphatase (EC 3.1.3.1), and gamma-glutamyltransferase (EC 2.3.2.2) was excreted in urine over 8 h after a high intake of fluid (22 mL per kilogram of body weight). The hourly excretion of all four enzymes increased with the increasing urine flow rate. The excretion rate of the brush-border enzymes was more markedly influenced than that of N-acetyl-beta-D-glucosaminidase. By relating the enzyme excretion to urinary creatinine we could reduce the variability of brush-border enzyme output and could completely compensate for the effect of diuresis on the excretion of N-acetyl-beta-D-glucosaminidase.

scholarly journals ON THE ORIGIN OF URINARY CREATININE

1936 ◽  
Vol 115 (3) ◽  
pp. 613-625
Author(s):  
Arnoldus Goudsmit
Keyword(s):  
Urinary Creatinine

scholarly journals Augmented renal clearance: a retrospective, cohort study of urinary creatinine clearance in critically ill patients in the United Kingdom

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110155
Author(s):  
Brian W Johnston ◽  
David Perry ◽  
Martyn Habgood ◽  
Miland Joshi ◽  
Anton Krige
Keyword(s):  
Risk Factors ◽  
United Kingdom ◽  
Creatinine Clearance ◽  
Renal Clearance ◽  
Repeated Measures ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Augmented Renal Clearance ◽  
Urinary Creatinine ◽  
The United Kingdom

Objective Augmented renal clearance (ARC) is associated with sub-therapeutic antibiotic, anti-epileptic, and anticoagulant serum concentrations leading to adverse patient outcomes. We aimed to describe the prevalence and associated risk factors for ARC development in a large, single-centre cohort in the United Kingdom. Methods We conducted a retrospective observational study of critically unwell patients admitted to intensive care between 2014 and 2016. Urinary creatinine clearance was used to determine the ARC prevalence during the first 7 days of admission. Repeated measures logistic regression was used to determine risk factors for ARC development. Results The ARC prevalence was 47.0% (95% confidence interval [95%CI]: 44.3%–49.7%). Age, sex, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and sepsis diagnosis were significantly associated with ARC. ARC was more prevalent in younger vs. older (odds ratio [OR] 0.95 [95%CI: 0.94–0.96]), male vs. female (OR 0.32 [95%CI: 0.26–0.40]) patients with lower vs. higher APACHE II scores (OR 0.94 [95%CI: 0.92–0.96]). Conclusions This patient group probably remains unknown to many clinicians because measuring urinary creatinine clearance is not usually indicated in this group. Clinicians should be aware of the ARC risk in this group and consider measurement of urinary creatinine clearance.

scholarly journals Colorimetric point-of-care paper-based sensors for urinary creatinine with smartphone readout

2021 ◽  
Vol 340 ◽  
pp. 129915
Author(s):  
Izabela Lewińska ◽  
Mikołaj Speichert ◽  
Mateusz Granica ◽  
Łukasz Tymecki
Keyword(s):  
Point Of Care ◽  
Urinary Creatinine

scholarly journals Variability of Urinary Creatinine in Healthy Individuals

2021 ◽  
Vol 18 (6) ◽  
pp. 3166
Author(s):  
Gerd Sallsten ◽  
Lars Barregard
Keyword(s):  
Flow Rate ◽  
Excretion Rate ◽  
Time Of Day ◽  
Urinary Flow Rate ◽  
Urinary Flow ◽  
Diurnal Variability ◽  
Creatinine Excretion ◽  
Blood Samples ◽  
Urinary Creatinine ◽  
Creatinine Excretion Rate

Many urinary biomarkers are adjusted for dilution using creatinine or specific gravity. The aim was to evaluate the variability of creatinine excretion, in 24 h and spot samples, and to describe an openly available variability biobank. Urine and blood samples were collected from 60 healthy non-smoking adults, 29 men and 31 women. All urine was collected at six time points during two 24 h periods. Blood samples were also collected twice and stored frozen. Analyses of creatinine in urine was performed in fresh urine using an enzymatic method. For creatinine in urine, the intra-class correlation (ICC) was calculated for 24 h urine and spot samples. Diurnal variability was examined, as well as association with urinary flow rate. The creatinine excretion rate was lowest in overnight samples and relatively constant in the other five samples. The creatinine excretion rate in each individual was positively correlated with urinary flow rate. The creatinine concentration was highest in the overnight sample and at 09:30. For 24 h samples the ICC was 0.64, for overnight samples it was 0.5, and for all spot samples, it was much lower. The ICC for urinary creatinine depends on the time of day of sampling. Frozen samples from this variability biobank are open for researchers examining normal variability of their favorite biomarker(s).

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