Can Women Accurately Predict Their Voided Volumes?

IF 1.4 4区 医学 Q3 OBSTETRICS & GYNECOLOGY
Siri Drangsholt, Stephanie Sansone, Megan Donnelly, Bilal Chughtai
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Abstract

Importance: Voiding diaries can be onerous, we sought to investigate if some women can predict their voided volumes.

Objectives: The objective of this study is to determine the accuracy of estimated voided volumes and characteristics most predictive of accuracy.

Study design: We prospectively collected data on 101 women undergoing urodynamics for lower urinary tract symptoms and/or prolapse at a tertiary care facility. Data collection included postvoid residual volume, urodynamic diagnosis, flow time and rate, and a 1-time measurement of voided volume into a blinded uroflow. Linear and logistic regression analyses were performed to examine predictors of estimated voided volume (mL).

Results: Mean age was 58.2 years (standard deviation, 12.8 years). The median estimated voided volume and actual voided volume were 240 and 215 mL, respectively. The average percent error was 15% (63% of patients being within a 30% margin of error and 32.7% being within a 20% margin of error). On linear regression analysis, smaller voids of 101 to 200 mL were associated with greater accuracy (R2 = 0.37 P = 0.001) and diagnosis of anxiety was associated with a higher voided volume percent error (P = 0.028). Logistic regression analysis revealed that for every 1 year increase in age, there was a 3% decrease in odds of predicting voiding volume within 30% (odds ratios, 0.97; P = 0.041).

Conclusions: Nearly two-thirds of women estimated their voided volume within 30% of the actual void and one-third of women could predict within 20%. This should be taken into consideration when obtaining patient history, particularly with age and diagnosis of anxiety, and may substantiate use of voiding diaries for accurate measurement in specific populations.

女性能否准确预测自己的排尿量?
重要性作废日记可能很繁重,我们试图调查一些女性是否能够预测她们作废的日记量。目的本研究的目的是确定估计的无效体积的准确性和最能预测准确性的特征。研究设计我们前瞻性地收集了101名在三级护理机构接受下尿路症状和/或脱垂尿动力学检查的女性的数据。数据收集包括排尿后残余量、尿动力学诊断、流量时间和速率,以及盲法尿流中排尿量的1次测量。进行线性和逻辑回归分析,以检查估计的排泄量(mL)的预测因素。结果平均年龄58.2岁(标准差12.8岁)。估计排泄量和实际排泄量的中位数分别为240和215 mL。平均误差百分比为15%(63%的患者在30%的误差范围内,32.7%的患者在20%的误差范围以内)。在线性回归分析中,101至200 mL的较小空隙与更高的准确性相关(R2=0.37 P=0.001),焦虑症的诊断与较高的空隙体积百分比误差相关(P=0.028)。Logistic回归分析显示,年龄每增加1年,预测排尿量在30%以内的几率降低了3%(比值比为0.97;P=0.041)。结论近三分之二的女性估计自己的排尿量在实际排尿量的30%以内,三分之一的女性可以预测在20%以内。在获取患者病史时,尤其是年龄和焦虑诊断时,应考虑到这一点,并可能证实在特定人群中使用排泄日记进行准确测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.10
自引率
12.50%
发文量
228
期刊介绍: Female Pelvic Medicine & Reconstructive Surgery, official journal of the American Urogynecologic Society, is a peer-reviewed, multidisciplinary journal dedicated to specialists, physicians and allied health professionals concerned with prevention, diagnosis and treatment of female pelvic floor disorders. The journal publishes original clinical research, basic science research, education, scientific advances, case reports, scientific reviews, editorials and letters to the editor.
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