{"title":"新冠肺炎严重程度与居住在高铅水平地区之间的关联。","authors":"Vanessa Foxworth, Larry Kage, Kimberly Barber","doi":"10.51894/001c.35880","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This 2021 retrospective study explored the association between patients that resided in high lead-exposed areas and Covid-19 severity.</p><p><strong>Methods: </strong>Adults that resided within a metropolitan area hospitalized with Covid-19 at a community hospital between January 2020 and November 2020 were included in the study. Data including patient's age, sex, length of stay, and co-morbid conditions were extracted from the hospital electronic health record. The patients were classified according to severity of disease based on a Covid Severity Index (qCSI) score, using patient's vitals upon admission. Patient locations were classified per EPA mapping for lead exposure from water pipes.</p><p><strong>Results: </strong>The qCSI score was significantly higher in the high exposure group, with a mean of 4.6 (SD = 4.4), than the low exposure group, which had a mean of 2.1 (SD = 3.2) (p = 0.004). The median risk stratification levels differed significantly (p = 0.006). Length of stay was also significantly greater in the high exposure group, mean 11.4 (SD 10.7), then in the low exposure group, mean 6.2 (SD = 7.2) (p = 0.01).</p><p><strong>Conclusion: </strong>This study demonstrated an association between Covid-19 severity and patients that have had high lead level exposure. Further research is needed to explore this possible association, such as studies involving larger datasets.</p>","PeriodicalId":74853,"journal":{"name":"Spartan medical research journal","volume":"7 2","pages":"35880"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448653/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association Between Covid-19 Severity And Residing In High Lead Level Locations.\",\"authors\":\"Vanessa Foxworth, Larry Kage, Kimberly Barber\",\"doi\":\"10.51894/001c.35880\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>This 2021 retrospective study explored the association between patients that resided in high lead-exposed areas and Covid-19 severity.</p><p><strong>Methods: </strong>Adults that resided within a metropolitan area hospitalized with Covid-19 at a community hospital between January 2020 and November 2020 were included in the study. Data including patient's age, sex, length of stay, and co-morbid conditions were extracted from the hospital electronic health record. The patients were classified according to severity of disease based on a Covid Severity Index (qCSI) score, using patient's vitals upon admission. Patient locations were classified per EPA mapping for lead exposure from water pipes.</p><p><strong>Results: </strong>The qCSI score was significantly higher in the high exposure group, with a mean of 4.6 (SD = 4.4), than the low exposure group, which had a mean of 2.1 (SD = 3.2) (p = 0.004). The median risk stratification levels differed significantly (p = 0.006). Length of stay was also significantly greater in the high exposure group, mean 11.4 (SD 10.7), then in the low exposure group, mean 6.2 (SD = 7.2) (p = 0.01).</p><p><strong>Conclusion: </strong>This study demonstrated an association between Covid-19 severity and patients that have had high lead level exposure. Further research is needed to explore this possible association, such as studies involving larger datasets.</p>\",\"PeriodicalId\":74853,\"journal\":{\"name\":\"Spartan medical research journal\",\"volume\":\"7 2\",\"pages\":\"35880\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448653/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spartan medical research journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51894/001c.35880\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spartan medical research journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51894/001c.35880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Association Between Covid-19 Severity And Residing In High Lead Level Locations.
Introduction: This 2021 retrospective study explored the association between patients that resided in high lead-exposed areas and Covid-19 severity.
Methods: Adults that resided within a metropolitan area hospitalized with Covid-19 at a community hospital between January 2020 and November 2020 were included in the study. Data including patient's age, sex, length of stay, and co-morbid conditions were extracted from the hospital electronic health record. The patients were classified according to severity of disease based on a Covid Severity Index (qCSI) score, using patient's vitals upon admission. Patient locations were classified per EPA mapping for lead exposure from water pipes.
Results: The qCSI score was significantly higher in the high exposure group, with a mean of 4.6 (SD = 4.4), than the low exposure group, which had a mean of 2.1 (SD = 3.2) (p = 0.004). The median risk stratification levels differed significantly (p = 0.006). Length of stay was also significantly greater in the high exposure group, mean 11.4 (SD 10.7), then in the low exposure group, mean 6.2 (SD = 7.2) (p = 0.01).
Conclusion: This study demonstrated an association between Covid-19 severity and patients that have had high lead level exposure. Further research is needed to explore this possible association, such as studies involving larger datasets.