1-Hydroxypyrene concentrations in first morning voids and 24-h composite urine: intra- and inter-individual comparisons

Han, Inkyu; Duan, Xiaoli; Zhang, Lin; Yang, Huang‐Hao; Rhoads, George G.; Wei, Fusheng; Zhang, Junfeng

doi:10.1038/sj.jes.7500639

Cited by 18 publications

(11 citation statements)

References 31 publications

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“…However, this sampling method is burdensome on the study subjects, and non-compliance can lead to compromised or a biased sampling. A common alternative is to collect the first-morning urine, as has been done in many occupational and environmental exposure investigations, because the first-morning urine is often correlated with the 24-hour void (Han et al 2008;Scher et al 2007;Kissel et al 2005). In epidemiological studies such as NHANES involving thousands of participants, first-morning voids are often difficult to obtain; hence, spot urine samples have been used as a more practical solution.…”

Section: Introductionmentioning

confidence: 99%

Variability of urinary concentrations of polycyclic aromatic hydrocarbon metabolite in general population and comparison of spot, first-morning, and 24-h void sampling

Romanoff

Lewin

et al. 2009

J Expo Sci Environ Epidemiol

120

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Urinary hydroxy polycyclic aromatic hydrocarbons (OH-PAHs) are commonly used in biomonitoring to assess exposure to polycyclic aromatic hydrocarbons (PAHs). Similar to other biologically non-persistent chemicals, OH-PAHs have relatively short biological half-lives (4.4-35 hours). Little information is available on their variability in urinary concentrations over time in non-occupationally exposed subjects. This study was designed to (i) study the variability of 9 urinary OH-PAH metabolite concentrations over time and (ii) calculate sample size requirements for future epidemiological studies based on spot urine, first morning void and 24-hour void sampling. Individual urine samples (n = 427) were collected during one week from 8 nonoccupationally exposed adults. We recorded the time and volume of each urine excretion, dietary details, and the driving activities of the participants. Within subjects, the coefficients of variation (CV) for the wet-weight concentration of OH-PAHs in all samples ranged from 45% to 297%; creatinine adjustment reduced the CV to 19-288% (p < 0.001; paired t-test). The simulated 24-hour void concentrations were the least variable measure, with CVs ranging 13-182% for the 9 OH-PAHs. Within-day variability contributed on average 84%, and between-day variability accounted for 16% of the total variance of 1-hydroxypyrene (1-PYR). Intraclass correlation coefficients (ICC) of 1-PYR levels were 0.55 for spot urine samples, 0.60 for first-morning voids, and 0.76 for 24-hour voids, indicating a high degree of correlation between urine measurements collected from the same subject over time. Sample size calculations were performed to estimate the number of subjects needed for detecting differences in geometric mean at a statistical power of 80% for spot urine, first-morning, and 24-hour void sampling. These data will aid in the design of future studies of PAHs and possibly other biologically non-persistent chemicals and the interpretation of their analytical results.

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Section: Introductionmentioning

confidence: 99%

Variability of urinary concentrations of polycyclic aromatic hydrocarbon metabolite in general population and comparison of spot, first-morning, and 24-h void sampling

Romanoff

Lewin

et al. 2009

J Expo Sci Environ Epidemiol

120

View full text Add to dashboard Cite

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“…Urinary creatinine concentrations were then calculated to adjust the varying degree of dilution in urine samples. This is done by dividing 1-OHP concentrations by urinary creatinine concentrations (Han et al 2008). The remaining spot urine sample (15 mL) was stored in plastic bottles and stored at the temperature of −20°C until analysis.…”

Section: Urine Samples Collection and Urinary 1-ohp Analysismentioning

confidence: 99%

Cancer risk of petrochemical workers exposed to airborne PAHs in industrial Lanzhou City, China

Wang

Zhao

Liu

et al. 2015

Environ Sci Pollut Res

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This paper reports the connections between red blood cells abnormality risk of petrochemical workers and their exposure to airborne polycyclic aromatic hydrocarbons (PAHs). Urinary 1-hydroxypyrene (1-OHP), as the biomarker of PAHs exposure, was adopted to assess the exposure risk of the petrochemical workers to PAHs in Xigu, the west suburb of Lanzhou where petrochemical industries are located. Fifty-three workers, sub-grouped to 36 petrochemical workers and 17 office workers, participated in this investigation. Logistic regression model and spearman correlation analysis were performed to estimate the associations between PAHs exposure levels and red blood cells abnormality risk of petrochemical workers. Strong associations between some red cell indices (MCH, MCHC, RDW) and 1-OHP concentration were found. Results also show that the red blood cells abnormality risk increased with increasing PAHs exposure level. Compared with office workers, risk level of red blood cells abnormality in petrochemical workers was higher by 41.7 % (OR, 1.417; 95 % CI: 0.368-5.456) than that in office workers. This result was verified by the tissue-to-human blood partition coefficient for pyrene and 1-OHP. The quantitative assessments of the potential health risk through inhalation exposure to PAHs were conducted using the Incremental Lifetime Cancer Risk (ILCR) model. It was found the ILCR from inhalation exposure to PAHs for the petrochemical workers ranged from 10(-5) to 10(-4) with 95 % probability, indicating that petrochemical plant workers were under a high potential cancer risk level.

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“…,0.001 APACHE II 18 (13)(14)(15)(16)(17)(18)(19)(20)(21)(22) 20 (16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26) 18 (14-23) 15 (11)(12)(13)(14)(15)(16)(17)(18)(19)(20) 12 (7)(8)(9)(10)(11)(12)(13)(14)(15)(16) ,0.001…”

Section: Study Populationunclassified

“…The poor outcomes associated with AKI (5-7) remain unacceptable, and one of the reasons for the lack of progress is that current functional kidney diagnostic tests (e.g., serum creatinine [sCr] and urine output) fail to diagnose AKI in a timely fashion (8,9). A substantial amount of research has been conducted to discover and validate new AKI biomarkers (10)(11)(12) that could be used to direct therapeutic and supportive interventions before functional decline. These biomarkers have been referred to as the "search for the renal troponin" (8,9,13).…”

Section: Introductionmentioning

confidence: 99%

Utilization of Small Changes in Serum Creatinine with Clinical Risk Factors to Assess the Risk of AKI in Critically lll Adults

Cruz¹,

Ferrer-Nadal²,

Piccinni³

et al. 2014

Clinical Journal of the American Society of Nephrology

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Background and objectives Disease biomarkers require appropriate clinical context to be used effectively. Combining clinical risk factors, in addition to small changes in serum creatinine, has been proposed to improve the assessment of AKI. This notion was developed in order to identify the risk of AKI early in a patient's clinical course. We set out to assess the performance of this combination approach.Design, setting, participants, & measurements A secondary analysis of data from a prospective multicenter intensive care unit cohort study (September 2009 to April 2010) was performed. Patients at high risk using this combination approach were defined as an early increase in serum creatinine of 0.1-0.4 mg/dl, depending on number of clinical factors predisposing to AKI. AKI was defined and staged using the Acute Kidney Injury Network criteria. The primary outcome was evolution to severe AKI (Acute Kidney Injury Network stages 2 and 3) within 7 days in the intensive care unit.Results Of 506 patients, 214 (42.2%) patients had early creatinine elevation and were deemed at high risk for AKI. This group was more likely to subsequently develop the primary endpoint (16.4% versus 1.0% [not at high risk], P,0.001). The sensitivity of this grouping for severe AKI was 92%, the specificity was 62%, the positive predictive value was 16%, and the negative predictive value was 99%. After adjustment for Sequential Organ Failure Assessment score, serum creatinine, and hazard tier for AKI, early creatinine elevation remained an independent predictor for severe AKI (adjusted relative risk, 12.86; 95% confidence interval, 3.52 to 46.97). Addition of early creatinine elevation to the best clinical model improved prediction of the primary outcome (area under the receiver operating characteristic curve increased from 0.75 to 0.83, P,0.001). ConclusionCritically ill patients at high AKI risk, based on the combination of clinical factors and early creatinine elevation, are significantly more likely to develop severe AKI. As initially hypothesized, the high-risk combination group methodology can be used to identify patients at low risk for severe AKI in whom AKI biomarker testing may be expected to have low yield. The high risk combination group methodology could potentially allow clinicians to optimize biomarker use.

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1-Hydroxypyrene concentrations in first morning voids and 24-h composite urine: intra- and inter-individual comparisons

Cited by 18 publications

References 31 publications

Variability of urinary concentrations of polycyclic aromatic hydrocarbon metabolite in general population and comparison of spot, first-morning, and 24-h void sampling

Variability of urinary concentrations of polycyclic aromatic hydrocarbon metabolite in general population and comparison of spot, first-morning, and 24-h void sampling

Cancer risk of petrochemical workers exposed to airborne PAHs in industrial Lanzhou City, China

Utilization of Small Changes in Serum Creatinine with Clinical Risk Factors to Assess the Risk of AKI in Critically lll Adults

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