scholarly journals Validity Of Scoring Urine Color At Different Light Intensities To Assess Urine Concentration

2021 ◽  
Vol 53 (8S) ◽  
pp. 346-347
Author(s):  
Floris C. Wardenaar ◽  
Kaila A. Vento ◽  
Scott Armistead ◽  
Daniel Thompsett
Author(s):  
Floris C. Wardenaar ◽  
Daniel Thompsett ◽  
Kaila A. Vento ◽  
Kathryn Pesek ◽  
Dean Bacalzo

Our objective was to determine self-reported accuracy of an athletic population using two different urine color (Uc) charts (8-color vs. 7-color Uc chart). After approval by the Institutional Review Board, members of an athletic population (n = 189, 20 (19–22) year old student- or tactical athletes and coaches, with n = 99 males and n = 90 females) scored their Uc using two charts. To determine the diagnostic value of Uc, results were compared with urine concentration (osmolality and urine specific gravity, USG). Uc was scored slightly darker with the 8-color vs. 7-color Uc chart (2.2 ± 1.2 vs. 2.0 ± 1.2, respectively, p < 0.001), with a moderate correlation between charts (r = 0.76, 95% CI: 0.69–0.81). Bland-Altman analysis showed a weak reporting bias (r = 0.15, p = 0.04). The area under the curve for correct urine sample classification ranged between 0.74 and 0.86. Higher accuracy for both methods was found when Uc scores were compared to USG over osmolality, indicated by 4.8–14.8% range in difference between methods. The optimal Uc cut-off value to assess a low vs. a high urine concentration for both Uc charts varied in this study between 1 and ≤2 while accuracy for charts was similar up to 77% when compared to USG.


2017 ◽  
Vol 49 (5S) ◽  
pp. 319
Author(s):  
Lisa T. Jansen ◽  
Giannis Arnaoutis ◽  
Dimitris Bougatsas ◽  
J.D. Adams ◽  
Jeanne H. Bottin ◽  
...  

2020 ◽  
Vol 52 (7S) ◽  
pp. 493-493
Author(s):  
Floris C. Wardenaar ◽  
Daniel Thompsett ◽  
Kathryn Pesek ◽  
Abigail T. Colburn ◽  
Kaila Vento ◽  
...  

2015 ◽  
Vol 56 (1) ◽  
pp. 355-362 ◽  
Author(s):  
Amy L. McKenzie ◽  
Colleen X. Muñoz ◽  
Lindsay A. Ellis ◽  
Erica T. Perrier ◽  
Isabelle Guelinckx ◽  
...  

2017 ◽  
Vol 70 (Suppl. 1) ◽  
pp. 18-22 ◽  
Author(s):  
Amy L. McKenzie ◽  
Lawrence E. Armstrong

Background: Urine osmolality (UOSM) reflects the renal regulation of excess fluid or deficit fluid, and therefore, serves as a marker of hydration status. Little is known about monitoring hydration in pregnant and lactating women despite significant physiological challenges to body water balance during that time. Therefore, we designed a study to assess if urine color (UCOL), an inexpensive and practical method, was a valid means of assessing urine concentration. Twenty-four hour UCOL was significantly correlated with 24 h UOSM in all women: pregnant, lactating, and control (r = 0.61-0.84, all p < 0.001). Utilizing a receiver operating characteristic statistical analysis, we found that 24 h and single sample UCOL had excellent diagnostic accuracy for identifying UOSM ≥500 mOsm·kg-1 in all women (area under the curve = 0.68-0.95, p < 0.001-0.46), and the UCOL that reflected this cut off was ≥4 on the UCOL chart. Summary: Therefore, UCOL is a valid marker of urine concentration and ultimately hydration status in pregnant, lactating, and non-pregnant, non-lactating women. For pregnant, lactating, and control women, the UCOL chart is a valid tool that can be used to monitor urine concentration in a single sample or over the course of the day via a 24 h sample. Key Message: Women who present with a UCOL of 4 or more likely have a UOSM ≥500 mOsm·kg-1. Given the positive health benefits associated with UOSM <500 mOsm·kg-1, women should aim for a 1, 2, or 3 on the UCOL chart. If a UCOL of ≥4 is observed, women should consider increasing fluid consumption to improve hydration status.


Author(s):  
Floris Wardenaar ◽  
Scott Armistead ◽  
Kayla Boeckman ◽  
Brooke Butterick ◽  
Darya Youssefi ◽  
...  

Context: Urine color (Uc) is used to asses urine concentration when lab techniques are not feasible. Objective: To compare the accuracy of Uc scoring using four different light conditions and two different scoring techniques with a 7-color Uc chart. Additionally to assess the results' generalizability, a subsample was compared to scores obtained from fresh samples. Design: Descriptive laboratory study. Samples: 178 previously frozen urine samples were scored and n=78 samples were compared to its own fresh outcomes. Main outcome measure: Urine color and accuracy for classifying urine samples were calculated using receiver operating characteristics (ROC) analysis, allowing to compare the diagnostic capacity against a 1.020 urine specific gravity (USG) cut-off and defining optimal Uc cut-off value. Results: Uc was significantly different between light conditions (P&lt;0.01), with the highest accuracy (80.3%) of correctly classifications of low or high urine concentrations occurring at the brightest light condition. Lower light intensity scored 1.5–2 shades darker on a 7-color Uc scale than bright conditions (P&lt;0.001), with urine color but no further practical differences for accuracy between scoring techniques. Frozen was 0.5–1 shade darker than freshly measured Uc (P&lt;0.004), but they were moderately correlated (r=0.64). A Bland-Altman plot showed that reporting bias mainly affects darker Uc without impacting the diagnostic ability of the method. Conclusions: Uc scoring, accuracy and Uc cut-off values are affected by lighting condition but not by scoring technique, with higher accuracy and a one-shade lower Uc cut-off value at the brightest light (i.e. LED flashlight).


2020 ◽  
Author(s):  
Alex Stafford ◽  
Dowon Ahn ◽  
Emily Raulerson ◽  
Kun-You Chung ◽  
Kaihong Sun ◽  
...  

Driving rapid polymerizations with visible to near-infrared (NIR) light will enable nascent technologies in the emerging fields of bio- and composite-printing. However, current photopolymerization strategies are limited by long reaction times, high light intensities, and/or large catalyst loadings. Improving efficiency remains elusive without a comprehensive, mechanistic evaluation of photocatalysis to better understand how composition relates to polymerization metrics. With this objective in mind, a series of methine- and aza-bridged boron dipyrromethene (BODIPY) derivatives were synthesized and systematically characterized to elucidate key structure-property relationships that facilitate efficient photopolymerization driven by visible to NIR light. For both BODIPY scaffolds, halogenation was shown as a general method to increase polymerization rate, quantitatively characterized using a custom real-time infrared spectroscopy setup. Furthermore, a combination of steady-state emission quenching experiments, electronic structure calculations, and ultrafast transient absorption revealed that efficient intersystem crossing to the lowest excited triplet state upon halogenation was a key mechanistic step to achieving rapid photopolymerization reactions. Unprecedented polymerization rates were achieved with extremely low light intensities (< 1 mW/cm<sup>2</sup>) and catalyst loadings (< 50 μM), exemplified by reaction completion within 60 seconds of irradiation using green, red, and NIR light-emitting diodes.


2016 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Palupi Puspitorini

The aim of this study was to select the best sources of auxin of which it can stimulate the growth of shoots Pineapple plant cuttings. This research is compiled in a completely randomized design (CRD) with 4 treatments and 6 replications. The Data were statistically Analyzed by the DMRT. Level of treatment given proves that no treatment 0%, cow urine concentration of 25%, young coconut water concentration of 25% and Rootone F 100 mg / cuttings. The results showed that cow urine concentrations of 25% and Rootone F 100 mg give the best results in stimulating the growth of shoots pineapple stem cuttings. Experimental results concluded that the effect of this natural hormone were better than the shoots without given hormone.           


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