Phosphatidylethanol vs Transdermal Alcohol Monitoring for Detecting Alcohol Consumption Among Adults.
Phosphatidylethanol vs Transdermal Alcohol Monitoring for Detecting Alcohol Consumption Among Adults.
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DOI:
10.1001/jamanetworkopen.2023.33182
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发表时间:
2023-09-05
影响因子:
13.8
通讯作者:
Marcus, Gregory M.
中科院分区:
文献类型:
--
作者:
Hahn, Judith A.;Fatch, Robin;Barnett, Nancy P.;Marcus, Gregory M.
What is the best cutoff for phosphatidylethanol (PEth), a blood biomarker, to objectively detect prior month heavy alcohol use? In this diagnostic study of 64 persons of middle age and older with paroxysmal atrial fibrillation, PEth was highly sensitive (84%) and specific (73%) for heavy alcohol use in the prior 4 weeks compared with readings from a continuous ankle monitoring to detect alcohol excreted in sweat. The optimal cutoff for heavy alcohol consumption was 18.5 ng/mL. These findings suggest that PEth with this cutoff value (or rounded to the recommended cutoff of 20 ng/mL for significant alcohol consumption in the general population) could be used to accurately capture heavy alcohol use in middle-age and older men in clinical care. This diagnostic study evaluates the optimal cutoff for phosphatidylethanol for heavy alcohol consumption in a study of middle-age and older adults. Alcohol biomarkers can improve detection of heavy alcohol use in clinical care, yet cutoffs for phosphatidylethanol (PEth), a blood biomarker, have not been established. To determine the optimal cutoff for PEth for heavy alcohol consumption in a study of middle-age and older adults. This was a 4-week diagnostic study of adults with paroxysmal atrial fibrillation (AF) and current alcohol consumption, recruited from general cardiology and cardiac electrophysiology outpatient clinics from September 2014 to September 2019. Data were analyzed from October 2021 to March 2022. The main aim was to determine the optimal PEth cutoff for heavy alcohol consumption, using the Secure Continuous Remote Alcohol Monitor (SCRAM) to measure transdermal alcohol. Area under the curve (AUC) for PEth-detected compared with SCRAM-detected heavy alcohol consumption in any week over the prior 4 weeks (ie, ≥3 [women] and ≥4 [men] episodes) or any estimated breath alcohol of 0.08% or greater in any week, and the PEth cutoff was calculated using the Youden J statistic. Similar analyses were conducted comparing PEth with individual drinks reported by pressing an event monitor, retrospective self-report via the Alcohol Use Disorders Identification Test–Consumption (AUDIT-C), and using 2-week look-backs. In this diagnostic study of 64 patients with both PEth and SCRAM measures over 4 weeks (54 [84.4%] men; mean age, 65.5 [95% CI, 62.6-68.5] years; 51 [79.7%] White), 31 (48.4%) had any SCRAM-detected heavy alcohol consumption over the 4 weeks, and the median (IQR) PEth at 4 weeks was 23 ng/mL (<limit of quantification to 60 ng/mL). The AUC for PEth vs any SCRAM-detected heavy alcohol consumption was 0.83 (95% CI, 0.72-0.93). The optimal PEth cutoff was 18.5 ng/mL (AUC, 0.83; 95% CI, 0.72-0.93), with sensitivity of 83.9% (95% CI, 66.3%-94.5%) and specificity of 72.7% (95% CI, 54.5%-86.7%). The PEth test characteristics by individual drink reporting using the event monitors and by the AUDIT-C, and by these measures and by SCRAM collected for 2-week intervals, were similar to those compared with the 4-week SCRAM. In a predominately middle-age and older White male population, PEth compared well with SCRAM. A PEth cutoff of 18.5 ng/mL (or rounded to 20 ng/mL, a recommended PEth cutoff for significant alcohol consumption) can be used in clinical care to detect heavy alcohol consumption in middle-age and older men.
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DOI:
10.1111/acer.12442
发表时间:
2014-06
期刊:
Alcoholism, clinical and experimental research
影响因子:
--
作者:
Stewart SH;Koch DG;Willner IR;Anton RF;Reuben A
通讯作者:
Reuben A
DOI:
10.1111/j.1530-0277.2009.01113.x
发表时间:
2010-03-01
期刊:
Alcoholism, clinical and experimental research
影响因子:
--
作者:
Stewart SH;Law TL;Randall PK;Newman R
通讯作者:
Newman R
DOI:
10.15585/mmwr.mm6939a6
发表时间:
2020-10-02
期刊:
MMWR. Morbidity and mortality weekly report
影响因子:
--
作者:
Esser MB;Sherk A;Liu Y;Naimi TS;Stockwell T;Stahre M;Kanny D;Landen M;Saitz R;Brewer RD
通讯作者:
Brewer RD
影响因子:
2.8
作者:
Miller, PM;Thomas, SE;Mallin, R
通讯作者:
Mallin, R
DOI:
10.1111/j.1530-0277.2012.01768.x
发表时间:
2012-09-01
影响因子:
3.2
作者:
Gnann, Heike;Weinmann, Wolfgang;Thierauf, Annette
通讯作者:
Thierauf, Annette