伊利诺伊大学医院和诊所SARS-CoV-2急性后后遗症：利用人工提取电子健康记录检查长期COVID对服务不足人群的影响

American journal of medicine open Pub Date : 2025-03-01 DOI:10.1016/j.ajmo.2025.100095

John Musachia, Jon Radosta, Dirin Ukwade, Shahrukh Rizvi, Romani Wahba

{"title":"伊利诺伊大学医院和诊所SARS-CoV-2急性后后遗症：利用人工提取电子健康记录检查长期COVID对服务不足人群的影响","authors":"John Musachia, Jon Radosta, Dirin Ukwade, Shahrukh Rizvi, Romani Wahba","doi":"10.1016/j.ajmo.2025.100095","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Although there has been a steady decrease in morbidity and mortality from the SARS-CoV-2 virus since the 2020-2021 period, thousands of Americans are still infected with the virus daily. Some proportion of these infected individuals will go on to develop postacute sequelae from SARS-CoV-2 (PASC, or Long COVID), manifesting symptoms 4 weeks or more after recovery from COVID-19. PASC and its underlying pathophysiology are still poorly described and understood. Although hundreds of peer-reviewed, published investigations on Long COVID exist, few have focused on underserved urban patient populations. Most of the published research has involved reviews of diagnostic codes from electronic health records, or responses to questionnaires.</div></div><div><h3>Methods</h3><div>We sought to review Long COVID in an underserved population in Chicago, and to go beyond electronic health record reviews of diagnostic codes, utilizing in-depth chart reviews, gleaned via manual extraction, focusing on notations of care providers. We investigated which specific preexisting conditions, if any, might be associated with specific Long COVID symptomatology's, and if any preexisting conditions predicted Long COVID. Study participants included 204 Long COVID patients, 98 COVID-19–positive patients, and 104 healthy (no history of COVID-19 infection) patients from an inner-city health system caring for underserved communities, whose records were reviewed via manual data extraction from electronic health records, focusing on provider notes in patient charts.</div></div><div><h3>Results</h3><div>Our Long COVID symptom frequencies were distinct compared to frequencies from other reviews that did not focus on underserved populations and done with medical records when only diagnostic codes are utilized. Preexisting medical conditions did not predict similar Long COVID symptomologies, save for the significant association between preexisting cough/dyspnea/pulmonary conditions and preexisting migraine/headache and their analogous Long COVID symptoms.</div></div><div><h3>Conclusions</h3><div>The odds of having Long COVID increased comparatively in subjects hospitalized with COVID-19, subjects with BMI >30, and female subjects.</div></div>","PeriodicalId":72168,"journal":{"name":"American journal of medicine open","volume":"13 ","pages":"Article 100095"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Postacute Sequelae From SARS-CoV-2 at the University of Illinois Hospital and Clinics: An Examination of the Effects of Long COVID in an Underserved Population Utilizing Manual Extraction of Electronic Health Records\",\"authors\":\"John Musachia, Jon Radosta, Dirin Ukwade, Shahrukh Rizvi, Romani Wahba\",\"doi\":\"10.1016/j.ajmo.2025.100095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Although there has been a steady decrease in morbidity and mortality from the SARS-CoV-2 virus since the 2020-2021 period, thousands of Americans are still infected with the virus daily. Some proportion of these infected individuals will go on to develop postacute sequelae from SARS-CoV-2 (PASC, or Long COVID), manifesting symptoms 4 weeks or more after recovery from COVID-19. PASC and its underlying pathophysiology are still poorly described and understood. Although hundreds of peer-reviewed, published investigations on Long COVID exist, few have focused on underserved urban patient populations. Most of the published research has involved reviews of diagnostic codes from electronic health records, or responses to questionnaires.</div></div><div><h3>Methods</h3><div>We sought to review Long COVID in an underserved population in Chicago, and to go beyond electronic health record reviews of diagnostic codes, utilizing in-depth chart reviews, gleaned via manual extraction, focusing on notations of care providers. We investigated which specific preexisting conditions, if any, might be associated with specific Long COVID symptomatology's, and if any preexisting conditions predicted Long COVID. Study participants included 204 Long COVID patients, 98 COVID-19–positive patients, and 104 healthy (no history of COVID-19 infection) patients from an inner-city health system caring for underserved communities, whose records were reviewed via manual data extraction from electronic health records, focusing on provider notes in patient charts.</div></div><div><h3>Results</h3><div>Our Long COVID symptom frequencies were distinct compared to frequencies from other reviews that did not focus on underserved populations and done with medical records when only diagnostic codes are utilized. Preexisting medical conditions did not predict similar Long COVID symptomologies, save for the significant association between preexisting cough/dyspnea/pulmonary conditions and preexisting migraine/headache and their analogous Long COVID symptoms.</div></div><div><h3>Conclusions</h3><div>The odds of having Long COVID increased comparatively in subjects hospitalized with COVID-19, subjects with BMI >30, and female subjects.</div></div>\",\"PeriodicalId\":72168,\"journal\":{\"name\":\"American journal of medicine open\",\"volume\":\"13 \",\"pages\":\"Article 100095\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of medicine open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667036425000093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of medicine open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667036425000093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

尽管自2020-2021年期间以来，SARS-CoV-2病毒的发病率和死亡率一直在稳步下降，但每天仍有成千上万的美国人感染该病毒。这些感染者中的一部分将继续发展为SARS-CoV-2 （PASC，或长COVID）的急性后后遗症，在COVID-19恢复后4周或更长时间内出现症状。PASC及其潜在的病理生理仍然缺乏描述和理解。尽管有数百项同行评议的、已发表的关于Long COVID的调查，但很少有人关注服务不足的城市患者群体。大多数已发表的研究都涉及对电子健康记录中的诊断代码的审查，或对调查问卷的回应。方法：我们试图在芝加哥服务不足的人群中审查长COVID，并超越诊断代码的电子健康记录审查，利用通过人工提取收集的深入图表审查，重点关注护理提供者的符号。我们调查了哪些特定的既往病史（如果有的话）可能与特定的长冠状病毒症状相关，以及是否有任何既往病史可以预测长冠状病毒。研究参与者包括204名长COVID患者，98名COVID-19阳性患者和104名健康（无COVID-19感染史）患者，这些患者来自服务不足社区的市中心卫生系统，通过从电子健康记录中手动提取数据来审查其记录，重点关注患者图表中的提供者笔记。结果：与其他没有关注服务不足人群、只使用诊断代码时使用医疗记录的综述相比，我们的Long COVID症状频率明显不同。除了先前存在的咳嗽/呼吸困难/肺部疾病与先前存在的偏头痛/头痛及其类似的长期COVID症状之间存在显著关联外，先前存在的医疗状况不能预测类似的长期COVID症状。结论新冠肺炎住院患者、BMI≥30的患者和女性患者发生长冠肺炎的几率相对较高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Postacute Sequelae From SARS-CoV-2 at the University of Illinois Hospital and Clinics: An Examination of the Effects of Long COVID in an Underserved Population Utilizing Manual Extraction of Electronic Health Records

Background

Although there has been a steady decrease in morbidity and mortality from the SARS-CoV-2 virus since the 2020-2021 period, thousands of Americans are still infected with the virus daily. Some proportion of these infected individuals will go on to develop postacute sequelae from SARS-CoV-2 (PASC, or Long COVID), manifesting symptoms 4 weeks or more after recovery from COVID-19. PASC and its underlying pathophysiology are still poorly described and understood. Although hundreds of peer-reviewed, published investigations on Long COVID exist, few have focused on underserved urban patient populations. Most of the published research has involved reviews of diagnostic codes from electronic health records, or responses to questionnaires.

Methods

We sought to review Long COVID in an underserved population in Chicago, and to go beyond electronic health record reviews of diagnostic codes, utilizing in-depth chart reviews, gleaned via manual extraction, focusing on notations of care providers. We investigated which specific preexisting conditions, if any, might be associated with specific Long COVID symptomatology's, and if any preexisting conditions predicted Long COVID. Study participants included 204 Long COVID patients, 98 COVID-19–positive patients, and 104 healthy (no history of COVID-19 infection) patients from an inner-city health system caring for underserved communities, whose records were reviewed via manual data extraction from electronic health records, focusing on provider notes in patient charts.

Results

Our Long COVID symptom frequencies were distinct compared to frequencies from other reviews that did not focus on underserved populations and done with medical records when only diagnostic codes are utilized. Preexisting medical conditions did not predict similar Long COVID symptomologies, save for the significant association between preexisting cough/dyspnea/pulmonary conditions and preexisting migraine/headache and their analogous Long COVID symptoms.

Conclusions

The odds of having Long COVID increased comparatively in subjects hospitalized with COVID-19, subjects with BMI >30, and female subjects.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

American journal of medicine open Medicine and Dentistry (General)

自引率

0.00%

发文量

审稿时长

47 days