Association of the Intermountain Risk Score with major adverse health events in patients positive for COVID-19: an observational evaluation of a US cohort.

Association of the Intermountain Risk Score with major adverse health events in patients positive for COVID-19: an observational evaluation of a US cohort.
复制标题

DOI:
10.1136/bmjopen-2021-053864
复制
发表时间:
2022-03-24
期刊:
影响因子:
2.9
通讯作者:
Anderson JL
Anderson JL
中科院分区:
医学3区
文献类型:
--
作者:
Horne BD;Bledsoe JR;Muhlestein JB;May HT;Peltan ID;Webb BJ;Carlquist JF;Bennett ST;Rea S;Bair TL;Grissom CK;Knight S;Ronnow BS;Le VT;Stenehjem E;Woller SC;Knowlton KU;Anderson JL

文献摘要

参考文献

被引文献

相似文献

山间风险评分(IMRS),由已发表的性别特异性加权参数的全血细胞计数(CBC)和基本代谢谱(BMP),是一个有效的预测死亡率。我们假设,根据大流行前CBC和BMP计算的IMRS可预测COVID-19的结局,并且使用COVID-19诊断时检测的实验室结果的IMRS也具有预测性。前瞻性观察性队列研究。初级、二级、紧急和紧急护理,以及犹他州和邻近美国各州部分地区的驾车通过测试地点。2020年3月3日至11月2日进行了SARS-CoV-2病毒RNA检测。评估年龄≥18岁的患者是否在2019年测量CBC和BMP,并在2020年检测出COVID-19阳性。主要结局是住院或死亡的复合终点,次要结局分别是住院和死亡。在3883例患者中,8.2%住院,1.6%死亡。低、轻度、中度和高风险IMRS受试者的复合终点发生率分别为3.5%(52/1502)、8.6%(108/1256)、15.5%(152/979)和28.1%(41/146)。与低危组相比,轻危组、中危组和高危组受试者的HR分别为2.33(95%CI 1.67 ~ 3.24)、4.01(95%CI 2.93 ~ 5.50)和8.34(95%CI 5.54 ~ 12.57)。年龄<60岁的受试者中、高风险与低风险的HR分别为3.06(95% CI 2.01 - 4.65)和7.38(95% CI 3.14 - 17.34);年龄≥60岁的受试者的HR分别为1.95(95% CI 0.99 - 3.86)和3.40(95% CI 1.63 - 7.07)。在多变量分析中,IMRS具有独立预测性,并显示可捕获合并症的实质性风险变化。IMRS是一种使用非常基本的实验室结果的简单风险评分,可预测COVID-19的住院和死亡率。这包括识别年轻人的风险的重要能力,很少诊断出合并症,并预测SARS-CoV-2感染前的风险。
The Intermountain Risk Score (IMRS), composed using published sex-specific weightings of parameters in the complete blood count (CBC) and basic metabolic profile (BMP), is a validated predictor of mortality. We hypothesised that IMRS calculated from prepandemic CBC and BMP predicts COVID-19 outcomes and that IMRS using laboratory results tested at COVID-19 diagnosis is also predictive. Prospective observational cohort study. Primary, secondary, urgent and emergent care, and drive-through testing locations across Utah and in sections of adjacent US states. Viral RNA testing for SARS-CoV-2 was conducted from 3 March to 2 November 2020. Patients aged ≥18 years were evaluated if they had CBC and BMP measured in 2019 and tested positive for COVID-19 in 2020. The primary outcome was a composite of hospitalisation or mortality, with secondary outcomes being hospitalisation and mortality separately. Among 3883 patients, 8.2% were hospitalised and 1.6% died. Subjects with low, mild, moderate and high-risk IMRS had the composite endpoint in 3.5% (52/1502), 8.6% (108/1256), 15.5% (152/979) and 28.1% (41/146) of patients, respectively. Compared with low-risk, subjects in mild-risk, moderate-risk and high-risk groups had HR=2.33 (95% CI 1.67 to 3.24), HR=4.01 (95% CI 2.93 to 5.50) and HR=8.34 (95% CI 5.54 to 12.57), respectively. Subjects aged <60 years had HR=3.06 (95% CI 2.01 to 4.65) and HR=7.38 (95% CI 3.14 to 17.34) for moderate and high risks versus low risk, respectively; those ≥60 years had HR=1.95 (95% CI 0.99 to 3.86) and HR=3.40 (95% CI 1.63 to 7.07). In multivariable analyses, IMRS was independently predictive and was shown to capture substantial risk variation of comorbidities. IMRS, a simple risk score using very basic laboratory results, predicted COVID-19 hospitalisation and mortality. This included important abilities to identify risk in younger adults with few diagnosed comorbidities and to predict risk prior to SARS-CoV-2 infection.
DOI: 10.1093/eurjhf/hfq115
发表时间: 2010-11-01
影响因子: 18.2
作者:
Horne, Benjamin D.;May, Heidi T.;Anderson, Jeffrey L.
通讯作者: Anderson, Jeffrey L.
DOI: 10.1080/1354750x.2020.1841296
发表时间: 2020-11-03
期刊: BIOMARKERS
影响因子: 2.6
作者:
Jamal, Mohammad H.;Doi, Suhail A.;Al-Sabah, Salman
通讯作者: Al-Sabah, Salman
DOI: 10.2147/copd.s254437
发表时间: 2020-01-01
影响因子: 2.8
作者:
Horne, Benjamin D.;Hegewald, Matthew J.;Blagev, Denitza P.
通讯作者: Blagev, Denitza P.
DOI: 10.1016/j.annepidem.2020.08.005
发表时间: 2020-12-01
影响因子: 5.6
作者:
Manuel Parra-Bracamonte, Gaspar;Lopez-Villalobos, Nicolas;Parra-Bracamonte, Francisco E.
通讯作者: Parra-Bracamonte, Francisco E.
DOI: 10.1590/1413-81232020259.23642020
发表时间: 2020-09-01
期刊: Ciência & Saúde Coletiva
影响因子: --
作者:
Silva, Gulnar Azevedo e;Jardim, Beatriz Cordeiro;Santos, Cleber Vinicius Brito dos
通讯作者: Santos, Cleber Vinicius Brito dos