产前亲密伴侣暴力:开发风险预测模型。

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Journal of women's health Pub Date : 2024-09-01 Epub Date: 2024-05-21 DOI:10.1089/jwh.2024.0038
Jaya Prakash, Kathryn Fay, Rahul Gujrathi, Bernard Rosner, Nawal Nour, Bharti Khurana
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引用次数: 0

摘要

目的探讨与产前亲密伴侣暴力(IPV)相关的社会行为、临床和影像学发现,并帮助对高危人群进行风险分层。方法:我们分析了产前亲密伴侣暴力的电子病历:我们分析了 108 名自我报告产前亲密伴侣暴力的孕妇(病例)和 106 名未自我报告产前亲密伴侣暴力的年龄匹配孕妇(对照组)在索引妊娠期间的电子病历。社会人口学、临床和放射学数据通过卡方检验和费雪精确检验进行分析,以 p < 0.05 为显著性阈值。采用逐步逻辑回归法得出风险预测模型。结果显示与怀孕前相比,报告在怀孕期间遭受过情绪性 IPV(76% 对 52%)和/或身体性 IPV(45% 对 31%)的病例比例明显增加。病例更有可能在孕前报告使用药物(几率比 [OR] = 2.60;95% 置信区间 [CI]:1.13-5.98)、性传播感染(OR = 3.48;95%CI:1.64-7.37)、流产(OR = 3.17;95%CI:1.79-5.59)和早产(OR = 5.97;95%CI:1.69-21.15)。在怀孕期间,病例更有可能报告住房不稳定(OR = 5.26;95%CI:2.67-10.36)、多胎(OR = 2.83;95%CI:1.44-5.58)、多产(OR = 3.75;95%CI:1.72-8.20)、焦虑(OR = 3.35;95%CI:1.85-6.08)、抑郁(OR = 5.58;95%CI:3.07-10.16)、药物使用(OR = 2.92;95%CI:1.28-6.65)、尿路感染(UTI)(OR = 3.26;95%CI:1.14-9.32)、宫内生长受限(OR = 10.71;95%CI:1.35-85.25)和剖宫产(OR = 2.25;95%CI:1.26-4.02)。病例的妇产科影像学异常明显增多,取消的放射学检查也更多(OR = 5.31)。逻辑回归发现,住房状况、性传播感染史、早产史、流产史、抑郁症和产前 UTI 可预测产前 IPV。风险预测模型的校准效果良好,曲线下面积为 0.79。结论:本研究发现了产前 IPV 患者之间的显著差异,我们提出的风险预测模型可为这种情况下的风险评估提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antepartum Intimate Partner Violence: Development of a Risk Prediction Model.

Objectives: To explore socio-behavioral, clinical, and imaging findings associated with antepartum intimate partner violence (IPV) and aid in risk stratification of at-risk individuals. Methods: We analyzed electronic medical records during indexed pregnancies for 108 pregnant patients who self-reported antepartum IPV (cases) and 106 age-matched pregnant patients who did not self-report antepartum IPV (controls). Sociodemographic, clinical, and radiology data were analyzed via chi-squared and Fisher's exact tests with p < 0.05 as the threshold for significance. Stepwise logistic regression was applied to derive a risk prediction model. Results: The proportion of cases reporting emotional IPV (76% vs. 52%) and/or physical IPV (45% vs. 31%) during pregnancy significantly increased from prior to pregnancy. Cases were significantly more likely to report prepregnancy substance use (odds ratio [OR] = 2.60; 95% confidence interval [CI]: 1.13-5.98), sexually transmitted infections (OR = 3.48; 95%CI: 1.64-7.37), abortion (OR = 3.17; 95%CI: 1.79, 5.59), and preterm birth (OR = 5.97; 95%CI: 1.69-21.15). During pregnancy, cases were more likely to report unstable housing (OR = 5.26; 95%CI: 2.67-10.36), multigravidity (OR = 2.83; 95%CI: 1.44-5.58), multiparity (OR = 3.75; 95%CI: 1.72-8.20), anxiety (OR = 3.35; 95%CI: 1.85-6.08), depression (OR = 5.58; 95%CI: 3.07-10.16), substance use (OR = 2.92; 95%CI: 1.28-6.65), urinary tract infection (UTI) (OR = 3.26; 95%CI: 1.14-9.32), intrauterine growth restriction (OR = 10.71; 95%CI: 1.35-85.25), and cesarean delivery (OR = 2.25; 95%CI: 1.26-4.02). Cases had significantly more OBGYN abnormalities on imaging and canceled more radiological studies (OR = 5.31). Logistic regression found housing status, sexually transmitted infection history, preterm delivery history, abortion history, depression, and antepartum UTI predictive of antepartum IPV. The risk prediction model achieved good calibration with an area under the curve of 0.79. Conclusions: This study identifies significant disparities among patients experiencing antepartum IPV, and our proposed risk prediction model can inform risk assessment in this setting.

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来源期刊
Journal of women's health
Journal of women's health 医学-妇产科学
CiteScore
6.60
自引率
5.70%
发文量
197
审稿时长
2 months
期刊介绍: Journal of Women''s Health is the primary source of information for meeting the challenges of providing optimal health care for women throughout their lifespan. The Journal delivers cutting-edge advancements in diagnostic procedures, therapeutic protocols for the management of diseases, and innovative research in gender-based biology that impacts patient care and treatment. Journal of Women’s Health coverage includes: -Internal Medicine Endocrinology- Cardiology- Oncology- Obstetrics/Gynecology- Urogynecology- Psychiatry- Neurology- Nutrition- Sex-Based Biology- Complementary Medicine- Sports Medicine- Surgery- Medical Education- Public Policy.
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