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Abortion Surveillance - United States, 2018. 人工流产监测 - 美国,2018 年。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-11-27 DOI: 10.15585/mmwr.ss6907a1
Katherine Kortsmit, Tara C Jatlaoui, Michele G Mandel, Jennifer A Reeves, Titilope Oduyebo, Emily Petersen, Maura K Whiteman
<p><strong>Problem/condition: </strong>CDC conducts abortion surveillance to document the number and characteristics of women obtaining legal induced abortions and number of abortion-related deaths in the United States.</p><p><strong>Period covered: </strong>2018.</p><p><strong>Description of system: </strong>Each year, CDC requests abortion data from the central health agencies for 50 states, the District of Columbia, and New York City. For 2018, 49 reporting areas voluntarily provided aggregate abortion data to CDC. Of these, 48 reporting areas provided data each year during 2009-2018. Census and natality data were used to calculate abortion rates (number of abortions per 1,000 women aged 15-44 years) and ratios (number of abortions per 1,000 live births), respectively. Abortion-related deaths from 2017 were assessed as part of CDC's Pregnancy Mortality Surveillance System (PMSS).</p><p><strong>Results: </strong>A total of 619,591 abortions for 2018 were reported to CDC from 49 reporting areas. Among 48 reporting areas with data each year during 2009-2018, in 2018, a total of 614,820 abortions were reported, the abortion rate was 11.3 abortions per 1,000 women aged 15-44 years, and the abortion ratio was 189 abortions per 1,000 live births. From 2017 to 2018, the total number of abortions and abortion rate increased 1% (from 609,095 total abortions and from 11.2 abortions per 1,000 women aged 15-44 years, respectively), and the abortion ratio increased 2% (from 185 abortions per 1,000 live births). From 2009 to 2018, the total number of reported abortions, abortion rate, and abortion ratio decreased 22% (from 786,621), 24% (from 14.9 abortions per 1,000 women aged 15-44 years), and 16% (from 224 abortions per 1,000 live births), respectively. In 2018, women in their 20s accounted for more than half of abortions (57.7%). In 2018 and during 2009-2018, women aged 20-24 and 25-29 years accounted for the highest percentages of abortions; in 2018, they accounted for 28.3% and 29.4% of abortions, respectively, and had the highest abortion rates (19.1 and 18.5 per 1,000 women aged 20-24 and 25-29 years, respectively). By contrast, adolescents aged <15 years and women aged ≥40 years accounted for the lowest percentages of abortions (0.2% and 3.6%, respectively) and had the lowest abortion rates (0.4 and 2.6 per 1,000 women aged <15 and ≥40 years, respectively). However, abortion ratios in 2018 and throughout 2009-2018 were highest among adolescents (aged ≤19 years) and lowest among women aged 25-39 years. Abortion rates decreased from 2009 to 2018 for all women, regardless of age. The decrease in abortion rate was highest among adolescents compared with women in any other age group. From 2009 to 2013, the abortion rates decreased for all age groups and from 2014 to 2018, the abortion rates decreased for all age groups, except for women aged 30-34 years and those aged ≥40 years. In addition, from 2017 to 2018, abortion rates did not change or decreased a
问题/条件:美国疾病预防控制中心进行人工流产监测,记录美国合法人工流产妇女的数量和特征,以及与人工流产相关的死亡人数:每年,疾病预防控制中心都会要求 50 个州、哥伦比亚特区和纽约市的中央卫生机构提供堕胎数据。2018 年,49 个报告地区自愿向疾病预防控制中心提供了流产汇总数据。其中,48 个报告地区在 2009-2018 年期间每年都提供了数据。人口普查和出生率数据分别用于计算堕胎率(每千名 15-44 岁女性的堕胎数量)和比率(每千名活产婴儿的堕胎数量)。作为疾病预防控制中心妊娠死亡监测系统(PMSS)的一部分,对2017年与人工流产相关的死亡进行了评估:49 个报告地区共向疾病预防控制中心报告了 2018 年的 619591 例人工流产。在 2009-2018 年期间每年都有数据的 48 个报告地区中,2018 年共报告了 614 820 例人工流产,人工流产率为每千名 15-44 岁女性中有 11.3 例人工流产,人工流产率为每千名活产儿中有 189 例人工流产。从 2017 年到 2018 年,堕胎总数和堕胎率分别增长了 1%(从 609095 例堕胎总数和每千名 15-44 岁妇女 11.2 例堕胎),堕胎率增长了 2%(从每千名活产婴儿 185 例堕胎)。从 2009 年到 2018 年,报告的堕胎总数、堕胎率和堕胎率分别下降了 22%(从 786 621 例)、24%(从每千名 15-44 岁妇女 14.9 例堕胎)和 16%(从每千名活产婴儿 224 例堕胎)。2018 年,20 多岁的女性占堕胎人数的一半以上(57.7%)。在2018年和2009-2018年期间,20-24岁和25-29岁妇女的堕胎比例最高;在2018年,她们分别占堕胎总数的28.3%和29.4%,堕胎率也最高(20-24岁和25-29岁妇女的堕胎率分别为每千名妇女19.1例和18.5例)。相比之下,妊娠13周的青少年堕胎率始终较低(≤9.0%)。2018年,妊娠≤13周的手术流产比例最高(52.1%),其次是妊娠≤9周的早期药物流产(38.6%)、妊娠>13周的手术流产(7.8%)和妊娠>9周的药物流产(1.4%);其他流产方式均不常见(解读:妊娠≤13周的手术流产比例最高(52.1%),其次是妊娠≤9周的早期药物流产(38.6%)、妊娠>13周的手术流产(7.8%)和妊娠>9周的药物流产(1.4%):在 2009-2018 年间连续报告数据的 48 个地区中,2009-2017 年间报告的堕胎总数、堕胎率和堕胎率均有所下降,所有三项指标均创历史新低。这些下降之后,从 2017 年到 2018 年,所有衡量指标均上升了 1%-2%:本报告中的数据可以帮助计划规划者和政策制定者确定堕胎率最高的妇女群体。意外怀孕是导致人工流产的主要原因。增加获得和使用有效避孕措施的机会可以减少意外怀孕,并进一步减少美国的人工流产数量。
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引用次数: 0
Investigations of Possible Multistate Outbreaks of Salmonella, Shiga Toxin-Producing Escherichia coli, and Listeria monocytogenes Infections - United States, 2016. 沙门氏菌、产志贺毒素大肠杆菌和单核增生李斯特菌感染可能在多州暴发的调查——美国,2016。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-11-13 DOI: 10.15585/mmwr.ss6906a1
Katherine E Marshall, Thai-An Nguyen, Michael Ablan, Megin C Nichols, Misha P Robyn, Preethi Sundararaman, Laura Whitlock, Matthew E Wise, Michael A Jhung
<p><strong>Problem/condition: </strong>Salmonella, Shiga toxin-producing Escherichia coli (STEC), and Listeria monocytogenes are the leading causes of multistate foodborne disease outbreaks in the United States. Responding to multistate outbreaks quickly and effectively and applying lessons learned about outbreak sources, modes of transmission, and risk factors for infection can prevent additional outbreak-associated illnesses and save lives. This report summarizes the investigations of multistate outbreaks and possible outbreaks of Salmonella, STEC, and L. monocytogenes infections coordinated by CDC during the 2016 reporting period.</p><p><strong>Period covered: </strong>2016. An investigation was considered to have occurred in 2016 if it began during 2016 and ended on or before March 31, 2017, or if it began before January 1, 2016, and ended during March 31, 2016-March 31, 2017.</p><p><strong>Description of system: </strong>CDC maintains a database of investigations of possible multistate foodborne and animal-contact outbreaks caused by Salmonella, STEC, and L. monocytogenes. Data were collected by local, state, and federal investigators during the detection, investigation and response, and control phases of the outbreak investigations. Additional data sources used for this report included PulseNet, the national molecular subtyping network based on isolates uploaded by local, state, and federal laboratories, and the Foodborne Disease Outbreak Surveillance System (FDOSS), which collects information from state, local, and territorial health departments and federal agencies about single-state and multistate foodborne disease outbreaks in the United States. Multistate outbreaks reported to FDOSS were linked using a unique outbreak identifier to obtain food category information when a confirmed or suspected food source was identified. Food categories were determined and assigned in FDOSS according to a classification scheme developed by CDC, the Food and Drug Administration (FDA), and the U.S. Department of Agriculture Food Safety and Inspection Service (FSIS) in the Interagency Food Safety Analytics Collaboration. A possible multistate outbreak was determined by expert judgment to be an outbreak if supporting data (e.g., temporal, geographic, demographic, dietary, travel, or food history) suggested a common source. A solved outbreak was an outbreak for which a specific kind of food or animal was implicated (i.e., confirmed or suspected) as the source. Outbreak-level variables included number of illnesses, hospitalizations, cases of hemolytic uremic syndrome (HUS), and deaths; the number of states with illnesses; date of isolation for the earliest and last cases; demographic data describing patients associated with a possible outbreak (e.g., age, sex, and state of residence); the types of data collected (i.e., epidemiologic, traceback, or laboratory); the outbreak source, mode of transmission, and exposure location; the name or brand of the source;
问题/状况:沙门氏菌、产志贺毒素大肠杆菌(STEC)和单核细胞增生李斯特菌是美国多州食源性疾病暴发的主要原因。快速有效地应对多州暴发,并运用有关暴发来源、传播方式和感染风险因素的经验教训,可以预防更多与暴发相关的疾病并挽救生命。本报告总结了2016年报告期间CDC协调的多州暴发和可能暴发的沙门氏菌、产志贺毒素大肠杆菌和单核增生乳杆菌感染的调查。涵盖时间:2016年。如果调查在2016年期间开始,并在2017年3月31日或之前结束,或者调查在2016年1月1日之前开始,并在2016年3月31日至2017年3月31日期间结束,则被认为发生在2016年。系统描述:疾病预防控制中心维护一个数据库,调查沙门氏菌、产志贺毒素大肠杆菌和单核增生乳杆菌引起的可能的多州食源性和动物接触暴发。在疫情调查的发现、调查和应对以及控制阶段,由地方、州和联邦调查人员收集数据。本报告使用的其他数据来源包括PulseNet,一个基于地方、州和联邦实验室上传的分离物的国家分子亚型网络,以及食源性疾病暴发监测系统(FDOSS),该系统从州、地方和地区卫生部门和联邦机构收集有关美国单州和多州食源性疾病暴发的信息。当确定了确认或怀疑的食品来源时,使用唯一的爆发标识符将报告给食品和社会服务部的多州疫情联系起来,以获取食品类别信息。FDOSS根据CDC、美国食品药品监督管理局(FDA)和美国农业部食品安全检验局(FSIS)在跨机构食品安全分析合作中制定的分类方案确定和分配食品类别。如果支持性数据(如时间、地理、人口、饮食、旅行或食物史)表明有共同来源,则专家判断确定可能的多州暴发为暴发。已解决的疫情是指涉及(即确认或怀疑)某种特定食物或动物为源头的疫情。暴发水平变量包括疾病数量、住院情况、溶血性尿毒症综合征(HUS)病例和死亡;患病州的数量;最早和最后病例的隔离日期;描述与可能暴发有关的患者的人口统计数据(例如,年龄、性别和居住州);收集的数据类型(即流行病学、追溯或实验室);暴发源、传播方式和接触地点;来源的名称或品牌;是否怀疑或确认消息来源;食品是否进口到美国;涉及的监管机构类型;是否采取监管行动(以及采取何种行动);疾病预防控制中心是否通过网站公布疫情;调查的开始和结束日期;以及对调查的一般性评论。患病人数、住院人数、溶血性尿毒综合征病例数和死亡人数按传播方式、病原体、结果(即未解决、以疑似来源解决或以确认来源解决)、来源以及食物或动物类别确定。结果:在2016年报告期内,共发现230例可能的多州暴发,调查174例。每周调查的可能疫情中位数为24起,调查持续时间中位数为37天。在调查的这174起可能的疫情中,有56起被排除在这一分析之外,因为它们发生在一个州,与国际旅行有关,或者是伪疫情(例如,由实验室介质污染而不是患者感染引起的一组类似分离株)。在其余118起可能的多州暴发中,50起被确定为暴发,39起得到解决(18起有确认的食物来源,10起有疑似食物来源,10起有确认的动物来源,1起有疑似动物来源)。在已解决的多州食源性暴发中,豆芽是最常见的涉及食品类别(5)。鸡肉是大多数食源性疾病的来源(134)。三起疫情涉及新型食物病原体对:面粉和产志异大肠杆菌,冷冻蔬菜和单核增生乳杆菌,袋装沙拉和单核增生乳杆菌。11次暴发归因于与动物的接触(10次归因于与后院家禽的接触,1次归因于小海龟)。 在18起经确认来源的多州食源性疾病暴发中,有13起导致产品采取行动,包括10起召回,2起从市场撤回,1起食品安全监督局发出公共卫生警报。疾病预防控制中心通过其网站、Facebook和Twitter向公众宣布了20起疫情,其中包括11起食源性疫情和9起动物接触性疫情。这些公告导致了大约91万次网页浏览量,5.5万次点赞,6.6万次分享和5800次转发。解释:在2016年报告所述期间,对可能的多州暴发的调查频繁发生,资源密集,调查时间中位数为37天。在调查的118起可能的疫情中,只有不到一半(42%)被确定具有足够的数据来满足多州疫情的定义。此外,在有充分数据的50次疫情中,约有四分之三得到了解决。公共卫生行动:疾控中心、食品药品监督管理局、食品安全监督局以及州和地方卫生和农业合作伙伴之间的密切合作是成功开展疫情调查的关键。确定新的疫情来源和来源趋势,有助于深入了解食品安全和动物安全处理方面的差距,从而有助于集中预防战略。总结对可能的多州暴发的调查可以为调查过程提供见解,改进未来的调查,并有助于预防疾病。虽然确定和调查可能的多州疫情需要大量资源和对公共卫生基础设施的投资,但它们对于确定疫情来源和实施预防和控制措施非常重要。
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引用次数: 10
Evaluation of CDC's Hemophilia Surveillance Program - Universal Data Collection (1998-2011) and Community Counts (2011-2019), United States. 美国CDC血友病监测项目-通用数据收集(1998-2011)和社区计数(2011-2019)的评估
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-09-04 DOI: 10.15585/mmwr.ss6905a1
Laura A Schieve, Vanessa R Byams, Brandi Dupervil, Meredith A Oakley, Connie H Miller, J Michael Soucie, Karon Abe, Christopher J Bean, W Craig Hooper
<p><strong>Problem/condition: </strong>Hemophilia is an X-linked genetic disorder that primarily affects males and results in deficiencies in blood-clotting proteins. Hemophilia A is a deficiency in factor VIII, and hemophilia B is a deficiency in factor IX. Approximately one in 5,000 males are born with hemophilia, and hemophilia A is about four times as common as hemophilia B. Both disorders are characterized by spontaneous internal bleeding and excessive bleeding after injuries or surgery. Hemophilia can lead to repeated bleeding into the joints and associated chronic joint disease, neurologic damage, damage to other organ systems, and death. Although no precise national U.S. prevalence estimates for hemophilia exist because of the difficulty identifying cases among persons who receive care from various types of health care providers, two previous state-based studies estimated hemophilia prevalence at 13.4 and 19.4 per 100,000 males. In addition, these studies showed that 67% and 82% of persons with hemophilia received care in a federally funded hemophilia treatment center (HTC), and 86% and 94% of those with the most severe cases of hemophilia (i.e., those with the lowest levels of clotting factor activity in the circulating blood) received care in a federally funded HTC. As of January 2020, the United States had 144 HTCs.</p><p><strong>Period covered: </strong>1998-2019.</p><p><strong>Description of the system: </strong>Surveillance for hemophilia, which is a complex, chronic condition, is challenging because of its low prevalence, the difficulty in ascertaining cases uniformly, and the challenges in routinely characterizing and tracking associated health complications. Over time, two systems involving many stakeholders have been used to conduct ongoing hemophilia surveillance. During 1998-2011, CDC and the HTCs collaborated to establish the Universal Data Collection (UDC) surveillance system. The purposes of the UDC surveillance system were to monitor human immunodeficiency virus (HIV) and bloodborne viral hepatitis in persons with hemophilia, thereby tracking blood safety, and to track the prevalence of and trends in complications associated with hemophilia. HTC staff collected clinical data and blood specimens from UDC participants and submitted them to CDC. CDC tested specimens for viral hepatitis and HIV. In 2011, the UDC surveillance system was replaced by a new hemophilia surveillance system called Community Counts. CDC and the HTCs established Community Counts to expand laboratory testing and the collection of clinical data to better identify and track emerging health issues in persons with hemophilia.</p><p><strong>Results: </strong>This report is the first comprehensive summary of CDC's hemophilia surveillance program, which comprises both UDC and Community Counts. Data generated from these surveillance systems have been used in the development of public health and clinical guidelines and practices to improve the safety of U.S. blo
问题/病症:血友病是一种主要影响男性的x连锁遗传疾病,导致凝血蛋白缺乏。血友病A是缺乏因子VIII,血友病B是缺乏因子IX。大约每5000名男性中就有1人患有血友病,而A型血友病的发病率大约是b型血友病的4倍。这两种疾病的特征都是在受伤或手术后自发性内出血和大出血。血友病可导致关节反复出血和相关的慢性关节疾病、神经损伤、其他器官系统损伤和死亡。尽管由于难以在接受不同类型医疗保健提供者护理的人群中确定病例,因此没有准确的美国血友病流行率估计,但先前两项基于州的研究估计血友病患病率为每10万男性13.4和19.4。此外,这些研究表明,67%和82%的血友病患者在联邦资助的血友病治疗中心(HTC)接受治疗,86%和94%的最严重血友病患者(即循环血液中凝血因子活性最低的患者)在联邦资助的血友病治疗中心接受治疗。截至2020年1月,美国拥有144家htc。涵盖期间:1998-2019年。系统描述:血友病是一种复杂的慢性疾病,其监测具有挑战性,因为其患病率低,难以统一确定病例,并且在常规描述和跟踪相关健康并发症方面存在挑战。随着时间的推移,涉及许多利益攸关方的两个系统已被用于进行持续的血友病监测。1998年至2011年期间,疾病预防控制中心和卫生保健委员会合作建立了通用数据收集(UDC)监测系统。UDC监测系统的目的是监测血友病患者的人类免疫缺陷病毒(HIV)和血源性病毒性肝炎,从而跟踪血液安全性,并跟踪血友病相关并发症的流行情况和趋势。HTC工作人员收集了UDC参与者的临床资料和血液标本,并将其提交给CDC。疾病预防控制中心检测了病毒性肝炎和艾滋病毒标本。2011年,UDC监测系统被称为社区计数的新血友病监测系统所取代。疾病预防控制中心和卫生保健委员会建立了社区计数,以扩大实验室检测和临床数据收集,更好地识别和跟踪血友病患者中新出现的健康问题。结果:本报告是美国疾病控制与预防中心血友病监测项目的第一个综合总结,该项目包括UDC和社区计数。这些监测系统产生的数据已用于制定公共卫生和临床指南和实践,以提高美国血液制品的安全性,并预防血友病相关并发症或早期发现并发症。UDC和Community Counts系统的有效性受到几个因素的影响,包括:1)稳定的数据收集设计,该设计是与HTC区域领导者和供应商密切合作开发的,并不断进行审查,以确保监测活动的重点是最大限度地发挥科学和临床影响;2)通过定期更新数据收集内容和特别研究,灵活应对新出现的卫生优先事项;3)血友病治疗产品抑制剂的许多临床指标的高质量数据和最先进的实验室检测方法(部分基于CDC的研究开发和完善);4)及时收集和提交数据和标本,进行实验室标本检测、分析和报告;5)美国最大和最具代表性的血友病患者样本,以及世界上最大和最全面的血友病数据收集系统之一。解释:美国疾病控制与预防中心已经成功地开发、实施并维护了血友病监测系统。通过让利益相关者参与进来、改善和建设新的基础设施、扩大数据收集(例如,新的诊断分析)、提供检测指导、建立标本收集登记以及将实验室结果整合到单个患者的临床实践中,该项目可作为如何开展复杂慢性疾病监测的范例。公共卫生行动:血友病与大量终生发病率、过量过早死亡和终生广泛的卫生保健需求有关。通过社区计数的监测数据,疾病预防控制中心将继续描述与现有或新的血友病治疗产品相关的获益和不良事件,从而有助于最大限度地提高血友病患者的健康和寿命。
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引用次数: 3
Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016. 8岁儿童自闭症谱系障碍的患病率——自闭症与发育障碍监测网络,11个站点,美国,2016。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-03-27 DOI: 10.15585/mmwr.ss6904a1
Matthew J Maenner, Kelly A Shaw, Jon Baio, Anita Washington, Mary Patrick, Monica DiRienzo, Deborah L Christensen, Lisa D Wiggins, Sydney Pettygrove, Jennifer G Andrews, Maya Lopez, Allison Hudson, Thaer Baroud, Yvette Schwenk, Tiffany White, Cordelia Robinson Rosenberg, Li-Ching Lee, Rebecca A Harrington, Margaret Huston, Amy Hewitt, Amy Esler, Jennifer Hall-Lande, Jenny N Poynter, Libby Hallas-Muchow, John N Constantino, Robert T Fitzgerald, Walter Zahorodny, Josephine Shenouda, Julie L Daniels, Zachary Warren, Alison Vehorn, Angelica Salinas, Maureen S Durkin, Patricia M Dietz

Problem/condition: Autism spectrum disorder (ASD).

Period covered: 2016.

Description of system: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years whose parents or guardians live in 11 ADDM Network sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). Surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by medical and educational service providers in the community. In the second phase, experienced clinicians who systematically review all abstracted information determine ASD case status. The case definition is based on ASD criteria described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

Results: For 2016, across all 11 sites, ASD prevalence was 18.5 per 1,000 (one in 54) children aged 8 years, and ASD was 4.3 times as prevalent among boys as among girls. ASD prevalence varied by site, ranging from 13.1 (Colorado) to 31.4 (New Jersey). Prevalence estimates were approximately identical for non-Hispanic white (white), non-Hispanic black (black), and Asian/Pacific Islander children (18.5, 18.3, and 17.9, respectively) but lower for Hispanic children (15.4). Among children with ASD for whom data on intellectual or cognitive functioning were available, 33% were classified as having intellectual disability (intelligence quotient [IQ] ≤70); this percentage was higher among girls than boys (39% versus 32%) and among black and Hispanic than white children (47%, 36%, and 27%, respectively) [corrected]. Black children with ASD were less likely to have a first evaluation by age 36 months than were white children with ASD (40% versus 45%). The overall median age at earliest known ASD diagnosis (51 months) was similar by sex and racial and ethnic groups; however, black children with IQ ≤70 had a later median age at ASD diagnosis than white children with IQ ≤70 (48 months versus 42 months).

Interpretation: The prevalence of ASD varied considerably across sites and was higher than previous estimates since 2014. Although no overall difference in ASD prevalence between black and white children aged 8 years was observed, the disparities for black children persisted in early evaluation and diagnosis of ASD. Hispanic children also continue to be identified as having ASD less frequently than white or black children.

Public health action: These findings highlight the variability in the evaluation and detection of ASD across communities and between sociodemographic groups. Continued efforts are needed for early and equitable identification of ASD and timely enrollment in services.

问题/状况:自闭症谱系障碍(ASD)。涵盖时间:2016年。系统描述:自闭症和发育障碍监测(ADDM)网络是一个主动监测项目,提供父母或监护人居住在美国11个ADDM网络站点(亚利桑那州、阿肯色州、科罗拉多州、佐治亚州、马里兰州、明尼苏达州、密苏里州、新泽西州、北卡罗来纳州、田纳西州和威斯康星州)的8岁儿童中ASD患病率的估计。监测工作分两个阶段进行。第一阶段涉及对社区医疗和教育服务提供者完成的综合评价进行审查和抽象化。在第二阶段,经验丰富的临床医生系统地审查所有抽象信息,确定ASD病例状态。病例定义基于《精神疾病诊断与统计手册》第五版中描述的ASD标准。结果:2016年,在所有11个地点,8岁儿童的ASD患病率为18.5 / 1000(1 / 54),男孩的患病率是女孩的4.3倍。ASD患病率因地区而异,从13.1(科罗拉多州)到31.4(新泽西州)不等。非西班牙裔白人(白人)、非西班牙裔黑人(黑人)和亚洲/太平洋岛民儿童的患病率估计大致相同(分别为18.5、18.3和17.9),但西班牙裔儿童的患病率较低(15.4)。在有智力或认知功能数据的自闭症儿童中,33%被归类为智力残疾(智商≤70);这一比例在女孩中高于男孩(39%比32%),在黑人和西班牙裔儿童中高于白人儿童(分别为47%,36%和27%)[更正]。患有自闭症的黑人儿童在36个月前接受首次评估的可能性低于患有自闭症的白人儿童(40%对45%)。已知最早ASD诊断的总体中位年龄(51个月)在性别、种族和民族群体中相似;然而,IQ≤70的黑人儿童比IQ≤70的白人儿童在ASD诊断时的中位年龄晚(48个月对42个月)。解释:自2014年以来,不同地点的ASD患病率差异很大,高于之前的估计。虽然8岁黑人儿童和白人儿童的ASD患病率没有总体差异,但黑人儿童在ASD的早期评估和诊断方面仍然存在差异。西班牙裔儿童也比白人或黑人儿童更少被确诊为自闭症谱系障碍。公共卫生行动:这些发现强调了跨社区和不同社会人口群体评估和检测自闭症谱系障碍的差异。需要继续努力,尽早和公平地识别自闭症谱系障碍,并及时登记服务。
{"title":"Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016.","authors":"Matthew J Maenner,&nbsp;Kelly A Shaw,&nbsp;Jon Baio,&nbsp;Anita Washington,&nbsp;Mary Patrick,&nbsp;Monica DiRienzo,&nbsp;Deborah L Christensen,&nbsp;Lisa D Wiggins,&nbsp;Sydney Pettygrove,&nbsp;Jennifer G Andrews,&nbsp;Maya Lopez,&nbsp;Allison Hudson,&nbsp;Thaer Baroud,&nbsp;Yvette Schwenk,&nbsp;Tiffany White,&nbsp;Cordelia Robinson Rosenberg,&nbsp;Li-Ching Lee,&nbsp;Rebecca A Harrington,&nbsp;Margaret Huston,&nbsp;Amy Hewitt,&nbsp;Amy Esler,&nbsp;Jennifer Hall-Lande,&nbsp;Jenny N Poynter,&nbsp;Libby Hallas-Muchow,&nbsp;John N Constantino,&nbsp;Robert T Fitzgerald,&nbsp;Walter Zahorodny,&nbsp;Josephine Shenouda,&nbsp;Julie L Daniels,&nbsp;Zachary Warren,&nbsp;Alison Vehorn,&nbsp;Angelica Salinas,&nbsp;Maureen S Durkin,&nbsp;Patricia M Dietz","doi":"10.15585/mmwr.ss6904a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6904a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2016.</p><p><strong>Description of system: </strong>The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years whose parents or guardians live in 11 ADDM Network sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). Surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by medical and educational service providers in the community. In the second phase, experienced clinicians who systematically review all abstracted information determine ASD case status. The case definition is based on ASD criteria described in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.</p><p><strong>Results: </strong>For 2016, across all 11 sites, ASD prevalence was 18.5 per 1,000 (one in 54) children aged 8 years, and ASD was 4.3 times as prevalent among boys as among girls. ASD prevalence varied by site, ranging from 13.1 (Colorado) to 31.4 (New Jersey). Prevalence estimates were approximately identical for non-Hispanic white (white), non-Hispanic black (black), and Asian/Pacific Islander children (18.5, 18.3, and 17.9, respectively) but lower for Hispanic children (15.4). Among children with ASD for whom data on intellectual or cognitive functioning were available, 33% were classified as having intellectual disability (intelligence quotient [IQ] ≤70); this percentage was higher among girls than boys (39% versus 32%) and among black and Hispanic than white children (47%, 36%, and 27%, respectively) [corrected]. Black children with ASD were less likely to have a first evaluation by age 36 months than were white children with ASD (40% versus 45%). The overall median age at earliest known ASD diagnosis (51 months) was similar by sex and racial and ethnic groups; however, black children with IQ ≤70 had a later median age at ASD diagnosis than white children with IQ ≤70 (48 months versus 42 months).</p><p><strong>Interpretation: </strong>The prevalence of ASD varied considerably across sites and was higher than previous estimates since 2014. Although no overall difference in ASD prevalence between black and white children aged 8 years was observed, the disparities for black children persisted in early evaluation and diagnosis of ASD. Hispanic children also continue to be identified as having ASD less frequently than white or black children.</p><p><strong>Public health action: </strong>These findings highlight the variability in the evaluation and detection of ASD across communities and between sociodemographic groups. Continued efforts are needed for early and equitable identification of ASD and timely enrollment in services.</p>","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 4","pages":"1-12"},"PeriodicalIF":24.9,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119644/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37772201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2540
Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016. 4岁儿童自闭症谱系障碍的早期识别——早期自闭症与发育障碍监测网络,美国,2016。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-03-27 DOI: 10.15585/mmwr.ss6903a1
Kelly A Shaw, Matthew J Maenner, Jon Baio, Anita Washington, Deborah L Christensen, Lisa D Wiggins, Sydney Pettygrove, Jennifer G Andrews, Tiffany White, Cordelia Robinson Rosenberg, John N Constantino, Robert T Fitzgerald, Walter Zahorodny, Josephine Shenouda, Julie L Daniels, Angelica Salinas, Maureen S Durkin, Patricia M Dietz
<p><strong>Problem/condition: </strong>Autism spectrum disorder (ASD).</p><p><strong>Period covered: </strong>2016.</p><p><strong>Description of system: </strong>The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network, a subset of the overall ADDM Network, is an active surveillance program that estimates ASD prevalence and monitors early identification of ASD among children aged 4 years. Children included in surveillance year 2016 were born in 2012 and had a parent or guardian who lived in the surveillance area in Arizona, Colorado, Missouri, New Jersey, North Carolina, or Wisconsin, at any time during 2016. Children were identified from records of community sources including general pediatric health clinics, special education programs, and early intervention programs. Data from comprehensive evaluations performed by community professionals were abstracted and reviewed by trained clinicians using a standardized ASD surveillance case definition with criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).</p><p><strong>Results: </strong>In 2016, the overall ASD prevalence was 15.6 per 1,000 (one in 64) children aged 4 years for Early ADDM Network sites. Prevalence varied from 8.8 per 1,000 in Missouri to 25.3 per 1,000 in New Jersey. At every site, prevalence was higher among boys than among girls, with an overall male-to-female prevalence ratio of 3.5 (95% confidence interval [CI] = 3.1-4.1). Prevalence of ASD between non-Hispanic white (white) and non-Hispanic black (black) children was similar at each site (overall prevalence ratio: 0.9; 95% CI = 0.8-1.1). The prevalence of ASD using DSM-5 criteria was lower than the prevalence using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria at one of four sites that used criteria from both editions. Among sites where ≥60% of children aged 4 years had information about intellectual disability (intelligence quotient ≤70 or examiner's statement of intellectual disability documented in an evaluation), 53% of children with ASD had co-occurring intellectual disability. Of all children aged 4 years with ASD, 84% had a first evaluation at age ≤36 months and 71% of children who met the surveillance case definition had a previous ASD diagnosis from a community provider. Median age at first evaluation and diagnosis for this age group was 26 months and 33 months, respectively. Cumulative incidence of autism diagnoses received by age 48 months was higher for children aged 4 years than for those aged 8 years identified in Early ADDM Network surveillance areas in 2016.</p><p><strong>Interpretation: </strong>In 2016, the overall prevalence of ASD in the Early ADDM Network using DSM-5 criteria (15.6 per 1,000 children aged 4 years) was higher than the 2014 estimate using DSM-5 criteria (14.1 per 1,000). Children born in 2012 had a higher cumulative incidence of ASD diagnoses by age 48 months compared w
问题/状况:自闭症谱系障碍(ASD)。涵盖时间:2016年。系统描述:早期自闭症和发育障碍监测(Early ADDM)网络是整个ADDM网络的一个子集,是一个主动监测项目,用于估计4岁儿童中ASD的患病率并监测ASD的早期识别。2016年监测年度纳入的儿童为2012年出生的儿童,其父母或监护人在2016年的任何时间居住在亚利桑那州、科罗拉多州、密苏里州、新泽西州、北卡罗来纳州或威斯康星州的监测区域。这些儿童是从社区来源的记录中确定的,包括普通儿科健康诊所、特殊教育项目和早期干预项目。从社区专业人员进行的综合评估中提取数据,并由训练有素的临床医生使用标准化的ASD监测病例定义,根据精神障碍诊断与统计手册第五版(DSM-5)的标准进行审查。结果:2016年,早期ADDM网络站点的4岁儿童ASD总体患病率为15.6 / 1000(1 / 64)。患病率从密苏里州的8.8‰到新泽西州的25.3‰不等。在每个站点,男孩的患病率高于女孩,总体男女患病率为3.5(95%可信区间[CI] = 3.1-4.1)。非西班牙裔白人(white)和非西班牙裔黑人(black)儿童之间的ASD患病率在每个地点相似(总患病率:0.9;95% ci = 0.8-1.1)。使用DSM-5标准的ASD患病率低于使用《精神疾病诊断与统计手册》第四版文本修订(DSM-IV-TR)标准的患病率,其中四个站点使用了两个版本的标准。在≥60%的4岁儿童存在智力残疾信息(智商≤70或评估中记录的审查员智力残疾陈述)的站点中,53%的ASD儿童同时存在智力残疾。在所有4岁ASD儿童中,84%在≤36个月时进行了第一次评估,71%符合监测病例定义的儿童以前曾从社区提供者处诊断过ASD。该年龄组首次评估和诊断的中位年龄分别为26个月和33个月。2016年,在早期ADDM网络监测区域中,4岁儿童在48个月前接受自闭症诊断的累积发病率高于8岁儿童。解释:2016年,使用DSM-5标准的早期ADDM网络中ASD的总体患病率(每1000名4岁儿童15.6名)高于2014年使用DSM-5标准的估计值(每1000名14.1名)。与2008年出生的儿童相比,2012年出生的儿童在48个月时ASD诊断的累积发病率更高,这表明年龄较小的儿童更早发现ASD。白人和黑人儿童在自闭症患病率上的差异已经缩小。与2014年相比,同时发生的智力残疾的患病率更高,这表明智力残疾儿童的确诊年龄仍然更小。与2014年相比,2016年有更多的36个月大的儿童接受了评估,这与“健康人2020”目标是一致的。自2014年以来,ASD最早诊断的中位年龄没有太大变化。公共卫生行动:更多的4岁自闭症儿童在36个月大时接受评估,在48个月大时得到诊断,但在早期识别方面仍有改进的余地。一旦发现发展问题,社区提供者及时对儿童进行评估可能会导致更早的ASD诊断,更早地接受循证干预,并改善发展结果。
{"title":"Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Six Sites, United States, 2016.","authors":"Kelly A Shaw,&nbsp;Matthew J Maenner,&nbsp;Jon Baio,&nbsp;Anita Washington,&nbsp;Deborah L Christensen,&nbsp;Lisa D Wiggins,&nbsp;Sydney Pettygrove,&nbsp;Jennifer G Andrews,&nbsp;Tiffany White,&nbsp;Cordelia Robinson Rosenberg,&nbsp;John N Constantino,&nbsp;Robert T Fitzgerald,&nbsp;Walter Zahorodny,&nbsp;Josephine Shenouda,&nbsp;Julie L Daniels,&nbsp;Angelica Salinas,&nbsp;Maureen S Durkin,&nbsp;Patricia M Dietz","doi":"10.15585/mmwr.ss6903a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6903a1","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Problem/condition: &lt;/strong&gt;Autism spectrum disorder (ASD).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Period covered: &lt;/strong&gt;2016.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Description of system: &lt;/strong&gt;The Early Autism and Developmental Disabilities Monitoring (Early ADDM) Network, a subset of the overall ADDM Network, is an active surveillance program that estimates ASD prevalence and monitors early identification of ASD among children aged 4 years. Children included in surveillance year 2016 were born in 2012 and had a parent or guardian who lived in the surveillance area in Arizona, Colorado, Missouri, New Jersey, North Carolina, or Wisconsin, at any time during 2016. Children were identified from records of community sources including general pediatric health clinics, special education programs, and early intervention programs. Data from comprehensive evaluations performed by community professionals were abstracted and reviewed by trained clinicians using a standardized ASD surveillance case definition with criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In 2016, the overall ASD prevalence was 15.6 per 1,000 (one in 64) children aged 4 years for Early ADDM Network sites. Prevalence varied from 8.8 per 1,000 in Missouri to 25.3 per 1,000 in New Jersey. At every site, prevalence was higher among boys than among girls, with an overall male-to-female prevalence ratio of 3.5 (95% confidence interval [CI] = 3.1-4.1). Prevalence of ASD between non-Hispanic white (white) and non-Hispanic black (black) children was similar at each site (overall prevalence ratio: 0.9; 95% CI = 0.8-1.1). The prevalence of ASD using DSM-5 criteria was lower than the prevalence using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria at one of four sites that used criteria from both editions. Among sites where ≥60% of children aged 4 years had information about intellectual disability (intelligence quotient ≤70 or examiner's statement of intellectual disability documented in an evaluation), 53% of children with ASD had co-occurring intellectual disability. Of all children aged 4 years with ASD, 84% had a first evaluation at age ≤36 months and 71% of children who met the surveillance case definition had a previous ASD diagnosis from a community provider. Median age at first evaluation and diagnosis for this age group was 26 months and 33 months, respectively. Cumulative incidence of autism diagnoses received by age 48 months was higher for children aged 4 years than for those aged 8 years identified in Early ADDM Network surveillance areas in 2016.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Interpretation: &lt;/strong&gt;In 2016, the overall prevalence of ASD in the Early ADDM Network using DSM-5 criteria (15.6 per 1,000 children aged 4 years) was higher than the 2014 estimate using DSM-5 criteria (14.1 per 1,000). Children born in 2012 had a higher cumulative incidence of ASD diagnoses by age 48 months compared w","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 3","pages":"1-11"},"PeriodicalIF":24.9,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7119643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37773267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 149
National Toxic Substances Incidents Program - Nine States, 2010-2014. 国家有毒物质事故计划-九个州,2010-2014。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-03-20 DOI: 10.15585/mmwr.ss6902a1
Natalia Melnikova, Jennifer Wu, Patricia Ruiz, Maureen F Orr
<p><strong>Problem/condition: </strong>Every year in the United States, thousands of toxic substance incidents harm workers, first responders, and the public with the potential for catastrophic consequences. Surveillance data enable public health and safety professionals to understand the patterns and causes of these incidents, which can improve prevention efforts and preparation for future incidents.</p><p><strong>Period covered: </strong>2010-2014.</p><p><strong>Description of system: </strong>In 2010, the Agency for Toxic Substances and Disease Registry (ATSDR) initiated the National Toxic Substance Incidents Program (NTSIP), and it was retired in 2014. Nine state health departments participated in NTSIP surveillance: California, Louisiana, North Carolina, New York, Missouri, Oregon, Tennessee, Utah, and Wisconsin. The states conducted surveillance on acute toxic substance incidents, defined as an uncontrolled or illegal acute (lasting <72 hours) release of any toxic substance including chemical, biologic, radiologic, and medical materials. Surveillance focused on associated morbidity and mortality and public health actions. This report presents an overview of NTSIP and summarizes incidents and injuries from the nine participating states during 2010-2014.</p><p><strong>Results: </strong>During 2010-2014, participating state health departments reported 22,342 incidents, of which 13,529 (60.6%) met the case definition for acute toxic substance incidents, and included 6,635 injuries among 5,134 injured persons, of whom 190 died. A trend analysis of the three states participating the entire time showed a decrease in the number of incidents with injuries. NTSIP incidents were 1.8 times more likely and injured persons were 10 times more likely to be associated with fixed facilities than transportation. Natural gas, carbon monoxide, ammonia, and chemicals used in illegal methamphetamine production were the most frequent substances in fixed-facility incidents. Sodium and potassium hydroxide, hydrochloric acid, natural gas, and sulfuric acid were the most frequent substances in transportation-related incidents. Carbon monoxide was the most frequent substance in incidents with a large number of injured persons, and chemicals used in illegal methamphetamine production were the most frequent substance in incidents involving decontamination. Incidents most frequently occurred during normal business days (Monday through Friday) and hours (6:00 a.m.-5:59 p.m.) and warmer months (March-August). The transportation and warehousing industry sector had the largest number of incidents (4,476); however, most injured persons were injured in their private residences (1,141) or in the industry sectors of manufacturing (668), educational services (606), and real estate rental and leasing (425). The most frequently injured persons were members of the public (43.6%), including students. Injured first responders, particularly police, frequently were not wearing any chemic
问题/状况:每年在美国,成千上万的有毒物质事故伤害了工人、急救人员和公众,并可能造成灾难性的后果。监测数据使公共卫生和安全专业人员能够了解这些事件的模式和原因,从而可以改进预防工作并为未来事件做好准备。涵盖期间:2010-2014年。系统描述:2010年,有毒物质和疾病登记处(ATSDR)启动了国家有毒物质事件计划(NTSIP),并于2014年退役。9个州的卫生部门参与了NTSIP监测:加利福尼亚州、路易斯安那州、北卡罗来纳州、纽约州、密苏里州、俄勒冈州、田纳西州、犹他州和威斯康星州。各州对急性有毒物质事件进行了监测,将其定义为不受控制或非法的急性事件(持续结果:2010-2014年期间,参与的州卫生部门报告了22,342起事件,其中13,529起(60.6%)符合急性有毒物质事件的病例定义,其中5,134名受伤者中有6,635人受伤,其中190人死亡。对这三个州全程参与的趋势分析显示,伤害事件的数量有所减少。与交通工具相比,与固定设施相关的事故发生率是交通工具相关事故的1.8倍,受伤人员是交通工具相关事故的10倍。天然气、一氧化碳、氨和用于非法生产甲基苯丙胺的化学品是固定设施事故中最常见的物质。氢氧化钠和氢氧化钾、盐酸、天然气和硫酸是交通事故中最常见的物质。一氧化碳是造成大量受伤人员的事件中最常见的物质,非法生产甲基苯丙胺所使用的化学品是涉及净化的事件中最常见的物质。事故最常发生在正常工作日(周一至周五)和工作时间(上午6:00至下午5:59)以及温暖的月份(3月至8月)。运输和仓储业部门的事故数量最多(4,476起);但是,大部分伤者是在私人住宅(1141人)或制造业(668人)、教育服务业(606人)、房地产租赁(425人)等行业受伤。最常受伤的是市民(43.6%),包括学生。受伤的急救人员,特别是警察,经常没有佩戴任何化学防护设备。呼吸系统问题(23.9%)是受伤人员中最常见的报告症状,在一项相关发现中,挥发是受伤人员事件中最常见的释放类型。解释:工业和交通事故频繁发生,并有可能造成灾难性后果。然而,在其他环境中也经常发生接触有毒物质的情况。用于非法生产甲基苯丙胺的一氧化碳、天然气和化学品通常存在于人们居住、工作、上学和娱乐的地方,是造成影响公众的事件的主要原因。活跃的NTSIP州监测项目似乎确实改善了发病率和/或死亡率,但这些项目已经结束。公共卫生行动:可从网站下载存档的NTSIP公共使用数据以供分析。网站上也有许多出版物和报告来帮助了解化学品的风险。此外,司法管辖区可能会选择以类似于NTSIP州所做的方式收集自己的监控数据。化学品事件监测数据可用于公共卫生和安全从业人员、工人代表、应急规划人员、备灾协调员、行业和应急响应人员,以防备和预防化学品事件和伤害。正如美国化学品安全委员会所指出的,需要采取更多的行动来防止大型工业事故。虽然预防这类事件可能不属于公共卫生领域,但描述其对公共卫生的影响并为此做好准备属于公共卫生领域。NTSIP的另一个重要发现是,工业事故只是问题的一部分。例如,很多人在私人住宅或车辆(22.2%)和教育设施(11.8%)受伤。公共卫生专业人员必须足智多谋地针对预防和准备工作,以保护弱势群体在他们可能经常呆在的地方(例如,学校、日托所、养老院、娱乐场所、监狱、监狱和医院)。在美国,减少化学事故和伤害的威胁需要与包括工业和劳工、响应团体、政策制定者、学术界和公民倡导团体在内的各种利益相关者共同努力。
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引用次数: 4
Opioid Prescribing Behaviors - Prescription Behavior Surveillance System, 11 States, 2010-2016. 阿片类药物处方行为-处方行为监测系统,11个州,2010-2016。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2020-01-31 DOI: 10.15585/mmwr.ss6901a1
Gail K Strickler, Peter W Kreiner, John F Halpin, Erin Doyle, Leonard J Paulozzi

Problem/condition: In 2017, a total of 70,237 persons in the United States died from a drug overdose, and 67.8% of these deaths involved an opioid. Historically, the opioid overdose epidemic in the United States has been closely associated with a parallel increase in opioid prescribing and with widespread misuse of these medications. National and state policy makers have introduced multiple measures to attempt to assess and control the opioid overdose epidemic since 2010, including improvements in surveillance systems.

Period covered: 2010-2016 DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) was created in 2011. Its goal was to track rates of prescribing of controlled substances and possible misuse of such drugs using data from selected state prescription drug monitoring programs (PDMP). PBSS data measure prescribing behaviors for prescription opioids using multiple measures calculated from PDMP data including 1) opioid prescribing, 2) average daily opioid dosage, 3) proportion of patients with daily opioid dosages ≥90 morphine milligram equivalents, 4) overlapping opioid prescriptions, 5) overlapping opioid and benzodiazepine prescriptions, and 6) multiple-provider episodes. For this analysis, PBSS data were available for 2010-2016 from 11 states representing approximately 38.0% of the U.S.

Population: Average quarterly percent changes (AQPC) in the rates of opioid prescribing and possible opioid misuse measures were calculated for each state.

Results and interpretation: Opioid prescribing rates declined in all 11 states during 2010-2016 (range: 14.9% to 33.0%). Daily dosage declined least (AQPC: -0.4%) in Idaho and Maine, and most (AQPC: -1.6%) in Florida. The percentage of patients with high daily dosage had AQPCs ranging from -0.4% in Idaho to -2.3% in Louisiana. Multiple-provider episode rates declined by at least 62% in the seven states with available data. Variations in trends across the 11 states might reflect differences in state policies and possible differential effects of similar policies.

Public health actions: Use of PDMP data from individual states enables a more detailed examination of trends in opioid prescribing behaviors and indicators of possible misuse than is feasible with national commercially available prescription data. Comparison of opioid prescribing trends among states can be used to monitor the temporal association of national or state policy interventions and might help public health policymakers recognize changes in the use or possible misuse of controlled prescription drugs over time and allow for prompt intervention through amended or new opioid-related policies.

问题/状况:2017年,美国共有70,237人死于药物过量,其中67.8%的死亡与阿片类药物有关。从历史上看,美国的阿片类药物过量流行与阿片类药物处方的平行增加和这些药物的广泛滥用密切相关。自2010年以来,国家和州决策者采取了多种措施,试图评估和控制阿片类药物过量的流行,包括改进监测系统。系统描述:处方行为监测系统(PBSS)于2011年创建。它的目标是利用选定的州处方药监测项目(PDMP)的数据,跟踪管制药物的处方率和可能滥用此类药物的情况。PBSS数据使用PDMP数据计算的多个指标衡量处方阿片类药物的处方行为,包括1)阿片类药物处方,2)阿片类药物平均每日剂量,3)阿片类药物每日剂量≥90吗啡毫克当量的患者比例,4)阿片类药物处方重叠,5)阿片类药物和苯二氮卓类药物处方重叠,6)多提供者事件。在这项分析中,PBSS数据来自2010-2016年11个州,约占美国人口的38.0%:计算每个州阿片类药物处方率和可能的阿片类药物滥用措施的平均季度百分比变化(AQPC)。结果和解释:2010-2016年,所有11个州的阿片类药物处方率都有所下降(范围:14.9%至33.0%)。爱达荷州和缅因州的日剂量降幅最小(AQPC: -0.4%),佛罗里达州降幅最大(AQPC: -1.6%)。高日剂量患者AQPCs百分比从爱达荷州的-0.4%到路易斯安那州的-2.3%不等。在七个有数据可查的州,多家医院的发生率至少下降了62%。11个州趋势的变化可能反映了各州政策的差异,以及类似政策可能产生的不同效果。公共卫生行动:与使用国家可获得的商业处方数据相比,使用来自各州的PDMP数据能够更详细地审查阿片类药物处方行为的趋势和可能的滥用指标。对各州阿片类药物处方趋势的比较可用于监测国家或州政策干预措施的时间相关性,并可能有助于公共卫生政策制定者认识到受管制处方药使用或可能滥用的变化,并允许通过修订或新的阿片类药物相关政策进行及时干预。
{"title":"Opioid Prescribing Behaviors - Prescription Behavior Surveillance System, 11 States, 2010-2016.","authors":"Gail K Strickler,&nbsp;Peter W Kreiner,&nbsp;John F Halpin,&nbsp;Erin Doyle,&nbsp;Leonard J Paulozzi","doi":"10.15585/mmwr.ss6901a1","DOIUrl":"https://doi.org/10.15585/mmwr.ss6901a1","url":null,"abstract":"<p><strong>Problem/condition: </strong>In 2017, a total of 70,237 persons in the United States died from a drug overdose, and 67.8% of these deaths involved an opioid. Historically, the opioid overdose epidemic in the United States has been closely associated with a parallel increase in opioid prescribing and with widespread misuse of these medications. National and state policy makers have introduced multiple measures to attempt to assess and control the opioid overdose epidemic since 2010, including improvements in surveillance systems.</p><p><strong>Period covered: </strong>2010-2016 DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) was created in 2011. Its goal was to track rates of prescribing of controlled substances and possible misuse of such drugs using data from selected state prescription drug monitoring programs (PDMP). PBSS data measure prescribing behaviors for prescription opioids using multiple measures calculated from PDMP data including 1) opioid prescribing, 2) average daily opioid dosage, 3) proportion of patients with daily opioid dosages ≥90 morphine milligram equivalents, 4) overlapping opioid prescriptions, 5) overlapping opioid and benzodiazepine prescriptions, and 6) multiple-provider episodes. For this analysis, PBSS data were available for 2010-2016 from 11 states representing approximately 38.0% of the U.S.</p><p><strong>Population: </strong>Average quarterly percent changes (AQPC) in the rates of opioid prescribing and possible opioid misuse measures were calculated for each state.</p><p><strong>Results and interpretation: </strong>Opioid prescribing rates declined in all 11 states during 2010-2016 (range: 14.9% to 33.0%). Daily dosage declined least (AQPC: -0.4%) in Idaho and Maine, and most (AQPC: -1.6%) in Florida. The percentage of patients with high daily dosage had AQPCs ranging from -0.4% in Idaho to -2.3% in Louisiana. Multiple-provider episode rates declined by at least 62% in the seven states with available data. Variations in trends across the 11 states might reflect differences in state policies and possible differential effects of similar policies.</p><p><strong>Public health actions: </strong>Use of PDMP data from individual states enables a more detailed examination of trends in opioid prescribing behaviors and indicators of possible misuse than is feasible with national commercially available prescription data. Comparison of opioid prescribing trends among states can be used to monitor the temporal association of national or state policy interventions and might help public health policymakers recognize changes in the use or possible misuse of controlled prescription drugs over time and allow for prompt intervention through amended or new opioid-related policies.</p>","PeriodicalId":48549,"journal":{"name":"Mmwr Surveillance Summaries","volume":"69 1","pages":"1-14"},"PeriodicalIF":24.9,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7011442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37594191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 56
Population-Based Active Surveillance for Culture-Confirmed Candidemia — Four Sites, United States, 2012–2016 以人群为基础的主动监测培养确认念珠菌-四个地点,美国,2012-2016
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2019-09-27 DOI: 10.15585/mmwr.ss6808a1
Mitsuru Toda, Sabrina R. Williams, Elizabeth L Berkow, M. Farley, L. Harrison, Lindsay Bonner, Kaytlynn Marceaux, R. Hollick, Alexia Y. Zhang, W. Schaffner, S. Lockhart, Brendan R. Jackson, S. Vallabhaneni
Problem/Condition Candidemia is a bloodstream infection (BSI) caused by yeasts in the genus Candida. Candidemia is one of the most common health care–associated BSIs in the United States, with all-cause in-hospital mortality of up to 30%. Period Covered 2012–2016. Description of System CDC’s Emerging Infections Program (EIP), a collaboration among CDC, state health departments, and academic partners that was established in 1995, was used to conduct active, population-based laboratory surveillance for candidemia in 22 counties in four states (Georgia, Maryland, Oregon, and Tennessee) with a combined population of approximately 8 million persons. Laboratories serving the catchment areas were recruited to report candidemia cases to the local EIP program staff. A case was defined as a blood culture that was positive for a Candida species collected from a surveillance area resident during 2012–2016. Isolates were sent to CDC for species confirmation and antifungal susceptibility testing. Any subsequent blood cultures with Candida within 30 days of the initial positive culture in the same patient were considered part of the same case. Trained surveillance officers collected clinical information from the medical chart for all cases, and isolates were sent to CDC for species confirmation and antifungal susceptibility testing. Results Across all sites and surveillance years (2012–2016), 3,492 cases of candidemia were identified. The crude candidemia incidence averaged across sites and years during 2012–2016 was 8.7 per 100,000 population; important differences in incidence were found by site, age group, sex, and race. The crude annual incidence was the highest in Maryland (14.1 per 100,000 population) and lowest in Oregon (4.0 per 100,000 population). The crude annual incidence of candidemia was highest among adults aged ≥65 years (25.5 per 100,000 population) followed by infants aged <1 year (15.8). The crude annual incidence was higher among males (9.4) than among females (8.0) and was approximately 2 times greater among blacks than among nonblacks (13.7 versus 5.8). Ninety-six percent of cases occurred in patients who were hospitalized at the time of or during the week after having a positive culture. One third of cases occurred in patients who had undergone a surgical procedure in the 90 days before the candidemia diagnosis, 77% occurred in patients who had received systemic antibiotics in the 14 days before the diagnosis, and 73% occurred in patients who had had a central venous catheter (CVC) in place within 2 days before the diagnosis. Ten percent were in patients who had used injection drugs in the past 12 months. The median time from admission to candidemia diagnosis was 5 days (interquartile range [IQR]: 0–16 days). Among 2,662 cases that were treated in adults aged >18 years, 34% were treated with fluconazole alone, 30% with echinocandins alone, and 34% with both. The all-cause, in-hospital case-fatality ratio was 25% for any time after admissi
念珠菌病是念珠菌属酵母菌引起的血液感染(BSI)。念珠菌是美国最常见的与医疗保健相关的脑残症之一,其全因住院死亡率高达30%。期间涵盖2012-2016年。CDC的新发感染项目(EIP)是CDC、州卫生部门和学术合作伙伴于1995年建立的一项合作项目,用于在四个州(乔治亚州、马里兰州、俄勒冈州和田纳西州)的22个县开展积极的、以人群为基础的念珠菌实验室监测,总人口约为800万人。招募服务于集水区的实验室向当地EIP项目工作人员报告念珠菌病例。病例定义为2012-2016年监测区居民采集的念珠菌血培养呈阳性。分离株送CDC进行菌种鉴定和药敏试验。在同一患者的初始阳性培养后30天内,任何随后的念珠菌血培养都被认为是同一病例的一部分。训练有素的监测人员从所有病例的病历中收集临床信息,并将分离株送到疾病预防控制中心进行物种确认和抗真菌药敏试验。结果在所有监测点和监测年份(2012-2016年)中,共发现3492例念珠菌。2012-2016年各地点和年份的粗念珠菌平均发病率为8.7 / 10万人;不同地点、年龄组、性别和种族在发病率上存在重要差异。年粗发病率最高的是马里兰州(14.1 / 10万人),最低的是俄勒冈州(4.0 / 10万人)。念珠菌的粗年发病率在≥65岁的成年人中最高(25.5 / 10万人),其次是18岁的婴儿,34%单独使用氟康唑,30%单独使用棘白菌素,34%同时使用两者。入院后任何时间的全因住院病死率为25%;念珠菌培养阳性后48小时内全因住院病死率为8%。白色念珠菌占39%,其次是光秃念珠菌(28%)和假丝酵母菌(15%)。总体而言,7%的分离株对氟康唑耐药,1.6%的分离株对棘白菌素耐药,5年监测期间耐药趋势不明显。在美国的四个地区,每年约有10万人中有9人患有培养阳性念珠菌。最年轻和最年长的人、男性和黑人的念珠菌发病率最高。在监测项目中发现的念珠菌患者有许多典型的念珠菌危险因素,包括近期手术、广谱抗生素暴露和CVC的存在。然而,有注射用药史(IDU)的患者中出现念珠菌病的比例出人意料地高(10%),这表明IDU已成为念珠菌病的常见危险因素。与念珠菌有关的死亡率仍然很高,四分之一的病例在住院期间死亡。对念珠菌的积极监测提供了关于疾病发病率和死亡率以及高危人群的重要信息。2017年,监测范围扩大到9个站点,这将提高对念珠菌发病率的地理变异性以及相关临床和人口特征的了解。这种监测将有助于监测发病率趋势,跟踪耐药性的出现和物种分布,监测潜在条件和易感因素的变化,评估抗真菌治疗的趋势和结果,并有助于开展预防工作。IDU已成为念珠菌病的重要危险因素,需要采取干预措施预防这一人群的侵袭性真菌感染。监测数据显示,大约三分之二的念珠菌病例是由白色念珠菌以外的物种引起的,白色念珠菌通常比白色念珠菌具有更大的抗真菌耐药性,而氟康唑耐药性的存在支持了2016年临床指南的建议,即在大多数患者中,将氟康唑转为棘白菌素作为念珠菌的初始治疗。
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引用次数: 102
Surveillance for Coccidioidomycosis — United States, 2011–2017 球虫真菌病监测-美国,2011-2017
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2019-09-20 DOI: 10.15585/mmwr.ss6807a1
Kaitlin Benedict, O. McCotter, Shane Brady, K. Komatsu, Gail L. Sondermeyer Cooksey, Alyssa Nguyen, Seemalata Jain, D. Vugia, Brendan R. Jackson
Problem/Condition Coccidioidomycosis (Valley fever) is an infection caused by the environmental fungus Coccidioides spp., which typically causes respiratory illness but also can lead to disseminated disease. This fungus typically lives in soils in warm, arid regions, including the southwestern United States. Reporting Period 2011–2017. Description of System Coccidioidomycosis has been nationally notifiable since 1995 and is reportable in 26 states and the District of Columbia (DC), where laboratories and physicians notify local and state public health departments about possible coccidioidomycosis cases. Health department staff determine which cases qualify as confirmed cases according to the definition established by Council of State and Territorial Epidemiologists and voluntarily submit basic case information to CDC through the National Notifiable Diseases Surveillance System. Results During 2011–2017, a total of 95,371 coccidioidomycosis cases from 26 states and DC were reported to CDC. The number of cases decreased from 2011 (22,634 cases) to 2014 (8,232 cases) and subsequently increased to 14,364 cases in 2017; >95% of cases were reported from Arizona and California. Reported incidence in Arizona decreased from 261 per 100,000 persons in 2011 to 101 in 2017, whereas California incidence increased from 15.7 to 18.2, and other state incidence rates stayed relatively constant. Patient demographic characteristics were largely consistent with previous years, with an overall predominance among males and among adults aged >60 years in Arizona and adults aged 40–59 years in California. Interpretation Coccidioidomycosis remains an important national public health problem with a well-established geographic focus. The reasons for the changing trends in reported cases are unclear but might include environmental factors (e.g., temperature and precipitation), surveillance artifacts, land use changes, and changes in the population at risk for the infection. Public Health Action Health care providers should consider a diagnosis of coccidioidomycosis in patients who live or work in or have traveled to areas with known geographic risk for Coccidioides and be aware that those areas might be broader than previously recognized. Coccidioidomycosis surveillance provides important information about the epidemiology of the disease but is incomplete both in terms of geographic coverage and data availability. Expanding surveillance to additional states could help identify emerging areas that pose a risk for locally acquired infections. In Arizona and California, where most cases occur, collecting systematic enhanced data, such as more detailed patient characteristics and disease severity, could help clarify the reasons behind the recent changes in incidence and identify additional opportunities for focused prevention and educational efforts.
球虫病(谷热)是一种由环境真菌球虫引起的感染,通常会引起呼吸系统疾病,但也会导致播散性疾病。这种真菌通常生活在温暖干旱地区的土壤中,包括美国西南部。报告期2011-2017。自1995年以来,球孢子菌病已在全国范围内报告,并在26个州和哥伦比亚特区(DC)报告,实验室和医生向当地和州公共卫生部门通报可能的球孢子菌病病例。卫生部门工作人员根据州和地区流行病学家委员会制定的定义确定哪些病例符合确诊病例,并通过国家法定疾病监测系统自愿向疾病预防控制中心提交病例基本信息。结果2011-2017年,美国26个州和DC共向CDC报告球孢子菌病95,371例。从2011年(22634例)减少到2014年(8232例),2017年增加到14364例;>95%的病例报告来自亚利桑那州和加利福尼亚州。亚利桑那州报告的发病率从2011年的每10万人261人下降到2017年的101人,而加利福尼亚州的发病率从15.7人上升到18.2人,其他州的发病率保持相对稳定。患者人口学特征与前几年基本一致,总体上以男性和亚利桑那州60岁以上的成年人以及加利福尼亚州40-59岁的成年人为主。球孢子菌病仍然是一个重要的国家公共卫生问题,具有明确的地理焦点。报告病例变化趋势的原因尚不清楚,但可能包括环境因素(如温度和降水)、监测伪影、土地利用变化以及感染风险人群的变化。公共卫生行动卫生保健提供者应考虑在已知球虫地理风险地区生活或工作或旅行的患者诊断球虫菌病,并意识到这些地区可能比以前认识到的更广泛。球孢子菌病监测提供了有关该疾病流行病学的重要信息,但在地理覆盖和数据可得性方面都不完整。将监测范围扩大到更多的州,可以帮助确定对本地获得性感染构成风险的新兴地区。在大多数病例发生的亚利桑那州和加利福尼亚州,收集系统的增强数据,例如更详细的患者特征和疾病严重程度,可以帮助澄清最近发病率变化背后的原因,并确定重点预防和教育工作的额外机会。
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引用次数: 36
Babesiosis Surveillance - United States, 2011-2015. 巴贝斯虫病监测-美国,2011-2015。
IF 24.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2019-05-31 DOI: 10.15585/mmwr.ss6806a1
Elizabeth B Gray, Barbara L Herwaldt
<p><strong>Problem/condition: </strong>Babesiosis is caused by parasites of the genus Babesia, which are transmitted in nature by the bite of an infected tick. Babesiosis can be life threatening, particularly for persons who are asplenic, immunocompromised, or elderly.</p><p><strong>Period covered: </strong>2011-2015.</p><p><strong>Description of system: </strong>CDC has conducted surveillance for babesiosis in the United States since January 2011, when babesiosis became a nationally notifiable condition. Health departments in states in which babesiosis is reportable voluntarily notify CDC of cases through the National Notifiable Diseases Surveillance System (NNDSS) and submit supplemental case information by using a babesiosis-specific case report form (CRF). As of 2015, babesiosis was a reportable condition in 33 states compared with 22 states in 2011.</p><p><strong>Results: </strong>For the 2011-2015 surveillance period, CDC was notified of 7,612 cases of babesiosis (6,277 confirmed [82.5%] and 1,335 probable [17.5%]). Case counts varied from year to year (1,126 cases for 2011, 909 for 2012, 1,761 for 2013, 1,742 for 2014, and 2,074 for 2015). Cases were reported among residents of 27 states. However, 7,194 cases (94.5%) occurred among residents of seven states with well-documented foci of tickborne transmission (i.e., Connecticut, Massachusetts, Minnesota, New Jersey, New York, Rhode Island, and Wisconsin). Maine (152 cases) and New Hampshire (149 cases) were the only other states that reported >100 cases for the 5-year period, and both states also reported increasing numbers of cases over time. The median age of the 7,173 patients with available information was 63 years (range: <1-99 years; interquartile range: 51-73 years); 4,156 (57.9%) were aged ≥60 years, and 15 (<1%) were aged <1 year. The proportion of patients with symptom onset during June-August was >70% for each of the 5 surveillance years. Approximately half (3,004 of 6,404 [46.9%]) of the patients with available data were hospitalized at least overnight. Hospitalization rates ranged from 16.0% among patients aged 10-19 years (16 of 100) to 72.6% among those aged ≥80 years (552 of 760). Hospitalizations were reported significantly more often among patients who were asplenic than among patients who were not (106 of 126 [84.1%] versus 643 of 1,396 [46.1%]). Fifty-one cases of babesiosis among recipients of blood transfusions were classified by the reporting health department as transfusion associated. The median intervals from the earliest date associated with each case of babesiosis to the initial report via NNDSS and submission of supplemental CRF data to CDC were approximately 3 months and 1 year, respectively.</p><p><strong>Interpretation: </strong>For the first 5 years of babesiosis surveillance, the reported cases occurred most frequently during June-August in the Northeast and upper Midwest. Maine and New Hampshire reported increasing numbers of cases over time, which suggest
问题/情况:巴贝斯虫病是由巴贝斯虫属的寄生虫引起的,这种寄生虫在自然界中通过受感染蜱虫的叮咬传播。巴贝斯虫病可危及生命,特别是对无脾、免疫功能低下或老年人。涵盖时间:2011-2015年。系统描述:自2011年1月巴贝斯虫病成为全国须报告的疾病以来,CDC在美国开展了巴贝斯虫病监测。有巴贝虫病报告的州的卫生部门通过国家法定疾病监测系统(NNDSS)自愿向疾病预防控制中心通报病例,并使用巴贝虫病特定病例报告表格(CRF)提交补充病例信息。截至2015年,巴贝斯虫病是33个州的报告疾病,而2011年为22个州。结果:2011-2015年监测期间,CDC共报告巴贝斯虫病7612例,其中确诊病例6277例(82.5%),疑似病例1335例(17.5%)。每年的病例数有所不同(2011年为1126例,2012年为909例,2013年为1761例,2014年为1742例,2015年为2074例)。在27个州的居民中报告了病例。然而,7194例(94.5%)病例发生在有充分记录的蜱传疫源地的7个州(即康涅狄格州、马萨诸塞州、明尼苏达州、新泽西州、纽约州、罗德岛州和威斯康星州)的居民中。缅因州(152例)和新罕布什尔州(149例)是5年期间报告病例数超过100例的唯一两个州,这两个州报告的病例数也随着时间的推移而增加。可获得信息的7173例患者的中位年龄为63岁(范围:5个监测年中的每一年为70%)。在可获得数据的6404例患者中,约有一半(3004例[46.9%])至少住院过夜。住院率从10-19岁患者的16.0%(16 / 100)到≥80岁患者的72.6%(552 / 760)不等。无脾患者的住院率明显高于无脾患者(126例中有106例[84.1%]对1396例中有643例[46.1%])。在接受输血者中,51例巴贝斯虫病被报告的卫生部门归类为输血相关。从与每个巴贝斯虫病病例相关的最早日期到通过NNDSS提交初始报告和向CDC提交补充CRF数据的中位数间隔分别约为3个月和1年。解释:在巴贝斯虫病监测的前5年,报告病例最常发生在6 - 8月的东北部和中西部北部。随着时间的推移,缅因州和新罕布什尔州报告的病例数量不断增加,这表明传播焦点可能正在扩大。住院治疗很常见,尤其是脾功能不佳或老年人。公共卫生行动:居住或前往巴贝斯虫病流行地区的人应避开蜱虫出没的地区,在皮肤和衣服上涂抹驱虫剂,在户外后对蜱虫进行全身检查,并尽快用细尖镊子去除附着的蜱虫。预防措施对有严重巴贝斯虫病风险的人尤其重要。报告病例数量和地理范围的增加需要进行调查,以确定促成因素(例如,蜱虫密度或检测或监测方法的变化)。完整和及时提交风险因素数据有助于评估巴贝虫寄生虫的地理范围和传播途径。疾控中心正在努力允许以电子方式提交CRF数据;电子提交有望提高数据的及时性、统一性和完整性。
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引用次数: 74
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Mmwr Surveillance Summaries
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