球孢子菌病的估计负担。

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Samantha L Williams, Kaitlin Benedict, Brendan R Jackson, Malavika Rajeev, Gail Cooksey, Irene Ruberto, Thomas Williamson, Rebecca H Sunenshine, BreAnne Osborn, Hanna N Oltean, Rebecca R Reik, Michael S Freedman, Andrej Spec, Adrienne Carey, Ilan S Schwartz, Luis Medina-Garcia, Nathan C Bahr, Rasha Kuran, Arash Heidari, George R Thompson, Royce Johnson, John N Galgiani, Tom Chiller, Mitsuru Toda
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引用次数: 0

摘要

重要性:球孢子菌病是一种未被充分认识的真菌感染,可导致严重疾病,并构成相当大的公共卫生负担。病例数可能大大高于全国报告的总数,因为监测没有包括不寻求医疗护理或未确诊或误诊的患者。并非所有州都可报告球孢子菌病,未向公共卫生实体报告的病例也同样被遗漏。需要对球孢子菌病负担进行系统估计,以提高认识并为公共卫生干预和政策提供信息。目的:评估美国症状性球孢子菌病的年负担。设计、环境和参与者:本横断面研究开发了模型,将2019年1月1日至12月31日向国家法定疾病监测系统报告的球孢子菌病病例作为模型输入。来自美国公共卫生监测的乘数因素包括求医行为、漏诊、漏报和住院死亡率。乘数值来源于文献综述和专家意见的结合。区域估计值是根据流行水平分类得出的,分为高(亚利桑那州和加利福尼亚州)、低(内华达州、新墨西哥州、德克萨斯州、犹他州和华盛顿州)或未知(所有其他州和华盛顿特区)。数据采集时间为2022年1月1日至2024年7月1日,分析时间为2022年10月1日至2024年9月1日。接触:向公共卫生监督机构报告的球孢子菌病。主要结果和测量:模型估计了美国全国和地区每年发生的症状性球孢子菌病病例、住院病例和死亡病例。结果:2019年全国共发生273 000例(95%可信区间[CrI], 206 000-36万)有症状的球孢子菌病病例。高流行州负担最重(12.5万例[95% CrI, 94 000- 16.5万]例),其次是未知流行州(10.3万例[95% CrI, 66 000- 15.5万]例)和低流行州(4.6万例[95% CrI, 31 000- 6.5万]例)。在全国范围内,模型估计每年有23 000例住院(95% CrI, 18 -28 000)和900例死亡(95% CrI, 700-1100)与球孢子菌病相关。结论和相关性:在这项横断面研究中,2019年全国症状性球孢子菌病的估计负担比通过国家监测报告的病例数高10至18倍。需要更好的认识,诊断测试实践和报告,以改善患者的结果,并加强我们对球孢子菌病流行病学的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimated Burden of Coccidioidomycosis.

Importance: Coccidioidomycosis is an underrecognized fungal infection that can cause serious illness and constitutes a considerable public health burden. The number of cases is likely substantially higher than the nationally reported total, as surveillance does not capture patients who do not seek medical care or who are undiagnosed or misdiagnosed. Coccidioidomycosis is not reportable in all states, and cases not reported to public health entities are likewise missed. A systematic estimate of coccidioidomycosis burden is needed to raise awareness and inform public health interventions and policy.

Objective: To assess the annual burden of symptomatic coccidioidomycosis in the US.

Design, setting, and participants: This cross-sectional study developed models incorporating coccidioidomycosis cases reported to the National Notifiable Diseases Surveillance System from January 1 to December 31, 2019, as model inputs. Multipliers from US public health surveillance accounted for factors including health care-seeking behavior, underdiagnosis, underreporting, and in-hospital mortality. Multiplier values were sourced from a combination of literature review and expert opinion. Regional estimates were generated using endemicity levels categorized as high (Arizona and California), low (Nevada, New Mexico, Texas, Utah, and Washington), or unknown (all other states and Washington, DC). Data were accrued from January 1, 2022, to July 1, 2024, and analyzed from October 1, 2022, to September 1, 2024.

Exposure: Coccidioidomycosis reported to public health surveillance entities.

Main outcomes and measures: Models estimated annual incident symptomatic coccidioidomycosis cases, hospitalizations, and deaths nationally and regionally in the US.

Results: A nationwide total of 273 000 (95% credible interval [CrI], 206 000-360 000) incident symptomatic coccidioidomycosis cases were estimated in 2019. High-endemic states accounted for the highest burden (125 000 [95% CrI, 94 000-165 000] cases), followed by states of unknown endemicity (103 000 [95% CrI, 66 000-155 000] cases) and low-endemic states (46 000 [95% CrI, 31 000-65 000] cases). Nationally, models estimated 23 000 annual hospitalizations (95% CrI, 18 000-28 000) and 900 annual deaths (95% CrI, 700-1100) associated with coccidioidomycosis.

Conclusions and relevance: In this cross-sectional study, the estimated national burden of symptomatic coccidioidomycosis in 2019 was 10 to 18 times higher than the number of cases reported through national surveillance. Better awareness, diagnostic testing practices, and reporting are needed to improve patient outcomes and enhance our understanding of coccidioidomycosis epidemiology.

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来源期刊
JAMA Network Open
JAMA Network Open Medicine-General Medicine
CiteScore
16.00
自引率
2.90%
发文量
2126
审稿时长
16 weeks
期刊介绍: JAMA Network Open, a member of the esteemed JAMA Network, stands as an international, peer-reviewed, open-access general medical journal.The publication is dedicated to disseminating research across various health disciplines and countries, encompassing clinical care, innovation in health care, health policy, and global health. JAMA Network Open caters to clinicians, investigators, and policymakers, providing a platform for valuable insights and advancements in the medical field. As part of the JAMA Network, a consortium of peer-reviewed general medical and specialty publications, JAMA Network Open contributes to the collective knowledge and understanding within the medical community.
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