Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database.
Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database.
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DOI：
10.1038/s41598-021-85813-2
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发表时间：
2021-03-18
影响因子：
4.6
通讯作者：
Lee HJ
中科院分区：
文献类型：
--
作者：
Cho SI;Yoon S;Lee HJ
我们的目的是调查合并症负担对冠状病毒病（COVID-19）患者死亡率的影响。我们分析了韩国全国健康保险索赔中的 COVID-19 数据。从数据库中提取了有关 COVID-19 患者的人口特征、合并症和死亡率记录的数据。根据这些患者的合并症计算死亡率的比值比，并调整或不调整年龄和性别。使用受试者工作特征 (ROC) 曲线分析研究原始查尔森合并症指数 (CCI) 和年龄调整 CCI (ACCI) 对这些患者死亡率的预测价值。 7590 名患者中，227 名（3.0%）死亡。调整年龄和性别后，高血压、糖尿病、充血性心力衰竭、痴呆、慢性肺病、肝病、肾病和癌症是死亡的重要危险因素。 ROC 曲线分析表明，ACCI 阈值 > 3.5 是预测死亡率的最佳分界点（ROC 下面积 0.92；95% 置信区间 0.91–0.94）。我们的研究揭示了 COVID-19 患者死亡的多种危险因素。在我们的结果中，ACCI 对死亡率的高预测能力可以支持老年和合并症在 COVID-19 严重程度中的重要性。
We aimed to investigate the impact of comorbidity burden on mortality in patients with coronavirus disease (COVID-19). We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in these patients with and without adjustment for age and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age-adjusted CCI (ACCI) for mortality in these patients were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7590 patients, 227 (3.0%) had died. After age and sex adjustment, hypertension, diabetes mellitus, congestive heart failure, dementia, chronic pulmonary disease, liver disease, renal disease, and cancer were significant risk factors for mortality. The ROC curve analysis showed that an ACCI threshold > 3.5 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% confidence interval 0.91–0.94). Our study revealed multiple risk factors for mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results can support the importance of old age and comorbidities in the severity of COVID-19.
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影响因子：
64.5
作者：
López-Otín C;Blasco MA;Partridge L;Serrano M;Kroemer G
通讯作者：
Kroemer G
DOI：
10.3390/ijerph17113984
发表时间：
2020-06-01
影响因子：
--
作者：
Choi, Hemin;Cho, Wonhyuk;Hur, Joon-Young
通讯作者：
Hur, Joon-Young
影响因子：
168.9
作者：
Huang, Chaolin;Wang, Yeming;Cao, Bin
通讯作者：
Cao, Bin
DOI：
10.3961/jpmph.2010.43.1.42
发表时间：
2010-01-01
期刊：
Journal of preventive medicine and public health = Yebang Uihakhoe chi
影响因子：
--
作者：
Kim, Kyoung Hoon
通讯作者：
Kim, Kyoung Hoon
影响因子：
7.2
作者：
Collins, Gary S.;Reitsma, Johannes B.;Moons, Karel G. M.
通讯作者：
Moons, Karel G. M.