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Short-term air pollution exposure is associated with lower severity and mixed features of manic episodes in hospitalized bipolar patients: A cross-sectional study in Milan, Italy

机译:短期空气污染暴露与住院双相患者中躁狂发作的严重程度和混合特征有关:意大利米兰的横断面研究

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摘要

Bipolar Disorder (BD) alternates depressive, manic or hypomanic phases. A manic episode (ME) is the main psychopathological condition of BD and it often requires hospitalization. Air pollution is thought to play a role in onset and exacerbation of several psychiatric disorders. We aimed to verify the association between exposure to particulate matter ≤10 μm (PM10) and ME severity, assessed through the Young Mania Rating Scale (YMRS). We evaluated clinical records regarding 414 hospital admissions of 186 patients residing in Milan (Italy), hospitalized for ME in the Psychiatry Unit of the Policlinico Hospital from 2007 to 2019. Patients were assigned mean daily PM10 and apparent temperature levels of the Milan municipality. As exposure windows, we considered single days preceding hospitalization (lag0 to 7) and their average estimates (lag0-1 to 0-7). We applied mixed effect models, adjusted for relevant confounders. Short-term PM10 exposure was associated with a reduction in YMRS, both when considering daily lags [β: -0.43 (95% Confidence Interval: -0.83; -0.03) at lag0] and their average [-0.47 (-0.90; -0.04) at lag0-1]. YMRS was higher in psychotic patients (24.8) and lower in ME with mixed components (15.5) if compared to episodes characterized by neither mixed nor psychotic features (17.4, p < 0.001). While PM10 did not influence the risk of psychotic symptoms at admission, it was associated with a higher risk of ME with mixed features, with Odds Ratios ranging from 2.43 (1.02; 5.76) at lag0 to 3.60 (1.22; 10.7) at lag0-2. Our findings show that increasing levels of PM10 move the ME towards the depressive pole of the BD spectrum and augment the probability of hospitalization for ME with mixed components. These results have important clinical implications, as mixed features worsen the course of ME and make the management of bipolar patients challenging.
机译:双极性障碍(BD)交替抑郁,躁狂或疥疮阶段。躁狂集(Me)是BD的主要精神病理状况,通常需要住院治疗。据认为,空气污染在发病中发挥作用和对几种精神疾病的恶化。我们旨在通过年轻的躁狂评级规模(YMRS)评估,验证暴露于颗粒物质≤10μm(PM10)和ME严重程度之间的关联。我们评估了有关居住在米兰(意大利)的414名患者的临床记录,从2007年至2019年在Policlinico医院的精神病院住院,为我住院。患者被指定为米兰市的每日PM10和表观温度水平。作为曝光窗口,我们认为住院期间的单数(LAG0至7)及其平均估计(LAG0-1至0-7)。我们应用了混合效果模型,调整了相关混杂。短期PM10曝光与YMRS的减少相关,两者在考虑日常滞后时[β:-0.43(95%置信区间:-0.83; -0.03),其平均值[-0.47(-0.90; -0.04 )在lag0-1。在精神病患者(24.8)中,YMRS较高,并在混合组分(15.5)中,如果与既不混合也不是精神病或精神功能的集合(17.4,P <0.001)。虽然PM10没有影响入学精神症状的风险,但它与混合特征的风险较高有关,但在LAG0至3.60(1.22; 5.76)下的差异比率范围为2.43(1.02; 5.76) 。我们的研究结果表明,增加的PM10水平将我朝向BD光谱的抑郁杆移动,并使用混合成分增加了我的住院概率。这些结果具有重要的临床意义,因为混合特征恶化了我的过程,并使双极患者的管理挑战。

著录项

  • 来源
    《Environmental research》 |2021年第5期|110943.1-110943.6|共6页
  • 作者单位

    Department of Clinical Sciences and Community Health University of Milan Via San Barnaba 8 20122 Milan Italy Epidemiology Unit Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Via San Barnaba 8 20122 Milan Italy;

    International Medical School University of Milan Via Fratelli Cervi 93 20090 Segrate Milan Italy;

    Department of Pathophysiology and Transplantation University of Milan Via Francesco Sforza 35 20122 Milan Italy Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Via Francesco Sforza 35 20122 Milan Italy;

    Department of Clinical Sciences and Community Health University of Milan Via San Barnaba 8 20122 Milan Italy Epidemiology Unit Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Via San Barnaba 8 20122 Milan Italy;

    Department of Pathophysiology and Transplantation University of Milan Via Francesco Sforza 35 20122 Milan Italy Department of Neurosciences and Mental Health Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico Via Francesco Sforza 35 20122 Milan Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bipolar disorder; Manic episodes; Young mania rating scale; Air pollution; Particulate matter;

    机译:躁郁症;躁狂事件;年轻的狂热评级规模;空气污染;颗粒物质;

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