Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area.

Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area.
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DOI:
10.1503/cmaj.202795
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发表时间:
2021-03-22
期刊:
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne
影响因子:
--
通讯作者:
Razak F
Razak F
中科院分区:
其他
文献类型:
--
作者:
Verma AA;Hora T;Jung HY;Fralick M;Malecki SL;Lapointe-Shaw L;Weinerman A;Tang T;Kwan JL;Liu JJ;Rawal S;Chan TCY;Cheung AM;Rosella LC;Ghassemi M;Herridge M;Mamdani M;Razak F

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加拿大因 2019 年冠状病毒病 (COVID-19) 入院的患者特征、临床护理、资源使用和结果尚未得到充分描述。我们描述了 2019 年 11 月 1 日至 2020 年 6 月 30 日期间在多伦多和安大略省密西沙加的 7 家医院从住院医疗服务和内外科重症监护病房 (ICU) 出院的所有患有 COVID-19 或流感的成年人。我们使用多变量回归模型比较患者的结果,控制患者的社会人口因素和合并症水平。我们验证了 7 个外部开发的风险评分的准确性,以预测 COVID-19 患者的死亡率。共有 1027 例因 COVID-19 入院(中位年龄 65 岁,59.1% 男性),783 例因流感入院(中位年龄 68 岁,50.8% 男性)。 50 岁以下的患者占所有因 COVID-19 入院的患者的 21.2%,占 ICU 入院患者的 24.0%。与流感相比,COVID-19患者的院内死亡率(未经调整的19.9% vs. 6.1%,调整后的相对风险[RR] 3.46,95%置信区间[CI] 2.56–4.68)、ICU使用率(未经调整的26.4% vs. 18.0%,调整后的RR 1.50,95% CI 1.25–1.80)显着更高住院时间(未经调整的中位数 8.7 天 vs. 4.8 天,调整后的比率 1.45,95% CI 1.25-1.69)。 30 天再入院率没有显着差异(未调整 9.3% vs. 9.6%,调整后 RR 0.98,95% CI 0.70–1.39)。用于预测院内死亡率的基于三点的风险评分显示出良好的区分度(受试者工作特征曲线下面积 [AUC] 范围为 0.72 至 0.81)和校准。在第一波大流行期间,与流感相比,因 COVID-19 入院的死亡率、ICU 使用率和住院时间显着增加。简单的风险评分可以非常准确地预测 COVID-19 患者的院内死亡率。
Patient characteristics, clinical care, resource use and outcomes associated with admission to hospital for coronavirus disease 2019 (COVID-19) in Canada are not well described. We described all adults with COVID-19 or influenza discharged from inpatient medical services and medical–surgical intensive care units (ICUs) between Nov. 1, 2019, and June 30, 2020, at 7 hospitals in Toronto and Mississauga, Ontario. We compared patient outcomes using multivariable regression models, controlling for patient sociodemographic factors and comorbidity level. We validated the accuracy of 7 externally developed risk scores to predict mortality among patients with COVID-19. There were 1027 hospital admissions with COVID-19 (median age 65 yr, 59.1% male) and 783 with influenza (median age 68 yr, 50.8% male). Patients younger than 50 years accounted for 21.2% of all admissions for COVID-19 and 24.0% of ICU admissions. Compared with influenza, patients with COVID-19 had significantly greater in-hospital mortality (unadjusted 19.9% v. 6.1%, adjusted relative risk [RR] 3.46, 95% confidence interval [CI] 2.56–4.68), ICU use (unadjusted 26.4% v. 18.0%, adjusted RR 1.50, 95% CI 1.25–1.80) and hospital length of stay (unadjusted median 8.7 d v. 4.8 d, adjusted rate ratio 1.45, 95% CI 1.25–1.69). Thirty-day readmission was not significantly different (unadjusted 9.3% v. 9.6%, adjusted RR 0.98, 95% CI 0.70–1.39). Three points-based risk scores for predicting in-hospital mortality showed good discrimination (area under the receiver operating characteristic curve [AUC] ranging from 0.72 to 0.81) and calibration. During the first wave of the pandemic, admission to hospital for COVID-19 was associated with significantly greater mortality, ICU use and hospital length of stay than influenza. Simple risk scores can predict in-hospital mortality in patients with COVID-19 with good accuracy.
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