The impact of charlson comorbidity index on mortality from SARS-CoV-2 virus infection and A novel COVID-19 mortality index: CoLACD

被引:36
作者
Varol, Yelda [1 ]
Hakoglu, Burcin [1 ]
Cirak, Ali Kadri [1 ]
Polat, Gulru [1 ]
Komurcuoglu, Berna [1 ]
Akkol, Berrin [1 ]
Atasoy, Cagri [1 ]
Bayramic, Eda [1 ]
Balci, Gunseli [1 ]
Ataman, Sena [1 ]
Ermin, Sinem [1 ]
Yalniz, Enver [1 ]
机构
[1] Univ Hlth Sci, Suat Seren Chest Dis & Surg Educ & Training Hosp, Izmir, Turkey
关键词
D O I
10.1111/ijcp.13858
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective The aim of this study is to find out the potential risk factors including charlson comorbidity index (CCI) score associated with death in COVID-19 patients hospitalised because of pneumonia and try to find a novel COVID-19 mortality score for daily use. Methods All patients diagnosed as confirmed or probable COVID-19 pneumonia whom hospitalised in our Chest Diseases Education and Research Hospital between March 11, 2020 and May 15, 2020 were enrolled. The optimal cut-off values, sensitivity and specificity values and odds ratios to be used in mortality prediction of the novel scoring system created from these parameters were calculated by ROC analysis according to the area under the curve and Youden index. Results Over 383 patients (n: 33 deceased, n: 350 survivors) univariate and multivariate regression analysis showed that CCI and lymphocyte ratio were prognostic factors for COVID-19-related mortality. Using this analysis, a novel scoring model CoLACD (CoVID-19 Lymphocyte ratio, Age, CCI score, Dyspnoea) was established. The cut-off value of this scoring system, which determines the mortality risk in patients, was 2.5 points with 82% sensitivity and 73% specificity (AUC = 0.802, 95% CI 0.777-0.886, P < .001). The risk of mortality was 11.8 times higher in patients with a CoLACD mortality score higher than 2.5 points than patients with a score lower than 2.5 (OR = 11.8 95% CI 4.7-29.3 P < .001). Conclusion This study showed that by using the CoLACD mortality score, clinicians may achieve a prediction of mortality in COVID-19 patients hospitalised for pneumonia.
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页数:7
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共 22 条
[1]   The Best Use of the Charlson Comorbidity Index With Electronic Health Care Database to Predict Mortality [J].
Bannay, Aurelie ;
Chaignot, Christophe ;
Blotiere, Pierre-Olivier ;
Basson, Mickael ;
Weill, Alain ;
Ricordeau, Philippe ;
Alla, Francois .
MEDICAL CARE, 2016, 54 (02) :188-194
[2]   Short term outcome and risk factors for adverse clinical outcomes in adults with severe acute respiratory syndrome (SARS) [J].
Chan, JWM ;
Ng, CK ;
Chan, YH ;
Mok, TYW ;
Lee, S ;
Chu, SYY ;
Law, WL ;
Lee, MP ;
Li, PCK .
THORAX, 2003, 58 (08) :686-689
[3]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[4]   Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study [J].
Chen, Nanshan ;
Zhou, Min ;
Dong, Xuan ;
Qu, Jieming ;
Gong, Fengyun ;
Han, Yang ;
Qiu, Yang ;
Wang, Jingli ;
Liu, Ying ;
Wei, Yuan ;
Xia, Jia'an ;
Yu, Ting ;
Zhang, Xinxin ;
Zhang, Li .
LANCET, 2020, 395 (10223) :507-513
[5]   Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study [J].
Du, Rong-Hui ;
Liang, Li-Rong ;
Yang, Cheng-Qing ;
Wang, Wen ;
Cao, Tan-Ze ;
Li, Ming ;
Guo, Guang-Yun ;
Du, Juan ;
Zheng, Chun-Lan ;
Zhu, Qi ;
Hu, Ming ;
Li, Xu-Yan ;
Peng, Peng ;
Shi, Huan-Zhong .
EUROPEAN RESPIRATORY JOURNAL, 2020, 55 (05)
[6]   The Effects of Viral Infection on Lymphocyte Metabolism: A New Perspective on Disease Characterization [J].
Dymond, Thomas .
VIRAL IMMUNOLOGY, 2018, 31 (04) :278-281
[7]   A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China [J].
Gong, Jiao ;
Ou, Jingyi ;
Qiu, Xueping ;
Jie, Yusheng ;
Chen, Yaqiong ;
Yuan, Lianxiong ;
Cao, Jing ;
Tan, Mingkai ;
Xu, Wenxiong ;
Zheng, Fang ;
Shi, Yaling ;
Hu, Bo .
CLINICAL INFECTIOUS DISEASES, 2020, 71 (15) :833-840
[8]   Clinical Features Predicting Mortality Risk in Patients With Viral Pneumonia: The MuLBSTA Score [J].
Guo, Lingxi ;
Wei, Dong ;
Zhang, Xinxin ;
Wu, Yurong ;
Li, Qingyun ;
Zhou, Min ;
Qu, Jieming .
FRONTIERS IN MICROBIOLOGY, 2019, 10
[9]   A modified test for small-study effects in meta-analyses of controlled trials with binary endpoints [J].
Harbord, Roger M. ;
Egger, Matthias ;
Sterne, Jonathan A. C. .
STATISTICS IN MEDICINE, 2006, 25 (20) :3443-3457
[10]   Prevalence and severity of corona virus disease 2019 (COVID-19): A systematic review and meta -analysis [J].
Hu, Yong ;
Sun, Jiazhong ;
Dai, Zhe ;
Deng, Haohua ;
Li, Xin ;
Huang, Qi ;
Wu, Yuwen ;
Sun, Li ;
Xu, Yancheng .
JOURNAL OF CLINICAL VIROLOGY, 2020, 127