Utility of Age-adjusted Charlson Comorbidity Index as a Predictor of Need for Invasive Mechanical Ventilation, Length of Hospital Stay, and Survival in COVID-19 Patients

被引:13
作者
Shanbhag, Vishal [1 ]
Arjun, N. R. [1 ]
Chaudhuri, Souvik [1 ]
Pandey, Akhilesh K. [2 ]
机构
[1] Manipal Acad Higher Educ, Kasturba Med Coll, Dept Crit Care Med, Manipal, Karnataka, India
[2] Kasturba Med Coll & Hosp, Dept Community Med, Manipal, Karnataka, India
关键词
Age-adjusted Charlson comorbidity index; Coronavirus disease 2019; Invasive mechanical ventilation; Length of hospital stay; Mortality; Remdesivir; MORBIDITY;
D O I
10.5005/jp-journals-10071-23946
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: Multiple parameters may be used to prognosticate coronavirus disease 2019 (COVID-19) patients, which are often expensivelaboratory or radiological investigations. We evaluated the utility of age-adjusted Charlson comorbidity index (CCI) as a predictor of outcomein COVID-19 patients treated with remdesivir. Materials and methods: This was a single-center, retrospective study on 126 COVID-19 patients treated with remdesivir. The age-adjusted CCI, length of hospital stay (LOS), need for invasive mechanical ventilation (IMV), and survival were recorded. Results: The mean and standard deviation (SD) of age-adjusted CCI were 3.37 and 2.186, respectively. Eighty-six patients (70.5%) had ageadjusted CCI <= 4, and 36 (29.5%) had age-adjusted CCI >4. Among patients with age-adjusted CCI <= 4, 20 (23.3%) required IMV, whereas in thosewith age-adjusted CCI >4, 19 (52.8%) required IMV (p <0.05, Pearson's chi-square test). In those with age-adjusted CCI <= 4, the mortality was18.6%, whereas it was 41.7% in patients with age-adjusted CCI >4 (p <0.05, Pearson's chi-square test). The receiver operating curve (ROC) ofage-adjusted CCI for predicting the mortality had an area under the curve (AUC) of 0.709, p = 0.001, and sensitivity 68%, specificity 62%, and95% confidence interval (CI) [0.608, 0.810], for a cutoff score >4. The ROC for age-adjusted CCI for predicting the need for IMV had an AUC of0.696, p = 0.001, and sensitivity 67%, specificity 63%, and 95% CI [0.594, 0.797], for a cutoff score >4. ROC for age-adjusted CCI as a predictorof prolonged LOS (>= 14 days) was insignificant. Conclusion: In COVID-19 patients, the age-adjusted CCI is an independent predictor of the need for IMV (score >4) and mortality (score >4) but is not useful to predict LOS (CTRI/2020/11/029266).
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页码:987 / 991
页数:5
相关论文
共 25 条
[11]   C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis [J].
Huang, Ian ;
Pranata, Raymond ;
Lim, Michael Anthonius ;
Oehadian, Amaylia ;
Alisjahbana, Bachti .
THERAPEUTIC ADVANCES IN RESPIRATORY DISEASE, 2020, 14
[12]   Age and Multimorbidity Predict Death Among COVID-19 Patients Results of the SARS-RAS Study of the Italian Society of Hypertension [J].
Iaccarino, Guido ;
Grassi, Guido ;
Borghi, Claudio ;
Ferri, Claudio ;
Salvetti, Massimo ;
Volpe, Massimo .
HYPERTENSION, 2020, 76 (02) :366-372
[13]   Investigation of the freely available easy-to-use software 'EZR' for medical statistics [J].
Kanda, Y. .
BONE MARROW TRANSPLANTATION, 2013, 48 (03) :452-458
[14]  
Kim DH, 2020, MEDRXIV, V2020, DOI [10.1101/ 2020.10.26.20220244, DOI 10.1101/2020.10.26.20220244]
[15]   Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis [J].
Kuswardhani, R. A. Tuty ;
Henrina, Joshua ;
Pranata, Raymond ;
Lim, Michael Anthonius ;
Lawrensia, Sherly ;
Suastika, Ketut .
DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS, 2020, 14 (06) :2103-2109
[16]   Validity of Charlson Comorbidity Index in patients hospitalised with acute coronary syndrome. Insights from the nationwide AMIS Plus registry 2002-2012 [J].
Radovanovic, Dragana ;
Seifert, Burkhardt ;
Urban, Philip ;
Eberli, Franz R. ;
Rickli, Hans ;
Bertel, Osmund ;
Puhan, Milo A. ;
Erne, Paul .
HEART, 2014, 100 (04) :288-294
[17]   COVID-19 length of hospital stay: a systematic review and data synthesis [J].
Rees, Eleanor M. ;
Nightingale, Emily S. ;
Jafari, Yalda ;
Waterlow, Naomi R. ;
Clifford, Samuel ;
Pearson, Carl A. B. ;
Jombart, Thibaut ;
Procter, Simon R. ;
Knight, Gwenan M. .
BMC MEDICINE, 2020, 18 (01)
[18]   Scoring systems for predicting mortality for severe patients with COVID-19 [J].
Shang, Yufeng ;
Liu, Tao ;
Wei, Yongchang ;
Li, Jingfeng ;
Shao, Liang ;
Liu, Minghui ;
Zhang, Yongxi ;
Zhao, Zhigang ;
Xu, Haibo ;
Peng, Zhiyong ;
Wang, Xinghuan ;
Zhou, Fuling .
ECLINICALMEDICINE, 2020, 24
[19]  
Simpson Kevin J, 2020, Methodist Debakey Cardiovasc J, V16, P181, DOI 10.14797/mdcj-16-2-181
[20]   COVID-19 case fatality risk by age and gender in a high testing setting in Latin America: Chile, March-August 2020 [J].
Undurraga, Eduardo A. ;
Chowell, Gerardo ;
Mizumoto, Kenji .
INFECTIOUS DISEASES OF POVERTY, 2021, 10 (01)