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Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study.
Clin Interv Aging. 2020; 15:2095-2107.CI

Abstract

Objective

Severe or critical patients with coronavirus disease 2019 (COVID-19) are at increased risk for developing acute kidney injury (AKI). However, the rate of AKI in patients of different severities and independent predictive factors associated with AKI are not well understood.

Patients and Methods

We enrolled 107 severely or critically ill elderly patients with COVID-19 who were admitted to the intensive care unit (ICU) in Wuhan, China. AKI was defined according to the 2012 KDIGO criteria. We explored the association between AKI and in-hospital mortality using logistic regression. A predictive nomogram was formulated to predict the AKI development of patients with COVID-19 based on multivariate logistic regression.

Results

A total of 107 elderly patients were enrolled during the study period. The mean age was 70 (64-78) years, and 69 (64.5%) were men. For the 107 patients, the degree of severity of COVID-19 was categorized as 37 patients with the severe type (34.6%) and 70 patients with the critical type (65.4%). Overall, 48 of the 107 patients (44.9%) developed AKI during their hospitalization, while AKI occurred in 7 (18.9%) out of the 37 severe patients and 41 (44.9%) out of the 70 critical patients. Of the AKI patients, 35.4% (17/48) required continuous renal replacement therapy, including 14.3% of AKI patients in severe cases and 39.0% of AKI patients in critical cases. Kaplan-Meier analysis demonstrated that patients with AKI had a significantly higher risk for in-hospital mortality than severely and critically ill patients without AKI. Multivariate logistic regression analysis showed that AKI (OR = 33.74; 95% CI = 3.34-341.29; P = 0.003), septic shock (OR = 15.58; 95% CI = 2.08-116.78; P = 0.008), invasive mechanical ventilation (OR = 18.44; 95% CI = 2.35-144.69; P = 0.006), and oxygenation index (OR = 0.99; 95% CI = 0.98-1.000; P = 0.014) were independent risk factors for in-hospital mortality. A nomogram was established based on the multivariate analysis results. The C-index for the developed AKI model was 0.935 (95% CI, 0.892-0.978); when 10-fold cross validation was used to validate the model, the corrected C-index was 0.825.

Conclusion

AKI is common among COVID-19 patients admitted to the ICU and is recognized as a marker of disease severity. The proposed nomogram accurately predicted AKI development in ICU patients with COVID-19 based on individual characteristics. Therefore, the strategy for kidney protection against severe or critical pneumonia is appropriate.

Authors+Show Affiliations

Department of Critical Care Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, People's Republic of China.Institution of Hospital Management, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing 100853, People's Republic of China.Department of Cardiology, Xijing Hospital, Xi'an 710032, People's Republic of China. Department of Infectious Diseases, Huo Shen Shan Hospital, Wuhan, People's Republic of China.Department of Critical Care Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, People's Republic of China.Department of Critical Care Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, People's Republic of China.Department of Cardiology, Xijing Hospital, Xi'an 710032, People's Republic of China.Department of Critical Care Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing 100853, People's Republic of China.Department of Cardiology, Xijing Hospital, Xi'an 710032, People's Republic of China. Department of Infectious Diseases, Huo Shen Shan Hospital, Wuhan, People's Republic of China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33204075

Citation

Li, Qinglin, et al. "Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients With COVID-19 in the ICU: a Single-Center Study." Clinical Interventions in Aging, vol. 15, 2020, pp. 2095-2107.
Li Q, Zhang T, Li F, et al. Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study. Clin Interv Aging. 2020;15:2095-2107.
Li, Q., Zhang, T., Li, F., Mao, Z., Kang, H., Tao, L., Zhou, F., & Cai, Y. (2020). Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study. Clinical Interventions in Aging, 15, 2095-2107. https://doi.org/10.2147/CIA.S273720
Li Q, et al. Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients With COVID-19 in the ICU: a Single-Center Study. Clin Interv Aging. 2020;15:2095-2107. PubMed PMID: 33204075.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Acute Kidney Injury Can Predict In-Hospital Mortality in Elderly Patients with COVID-19 in the ICU: A Single-Center Study. AU - Li,Qinglin, AU - Zhang,Tianyi, AU - Li,Fei, AU - Mao,Zhi, AU - Kang,Hongjun, AU - Tao,Ling, AU - Zhou,Feihu, AU - Cai,Yue, Y1 - 2020/11/09/ PY - 2020/07/28/received PY - 2020/09/20/accepted PY - 2020/11/18/entrez PY - 2020/11/19/pubmed PY - 2020/11/24/medline KW - acute kidney injury KW - coronavirus disease 2019 KW - diagnosis KW - in-hospital mortality KW - nomogram SP - 2095 EP - 2107 JF - Clinical interventions in aging JO - Clin Interv Aging VL - 15 N2 - Objective: Severe or critical patients with coronavirus disease 2019 (COVID-19) are at increased risk for developing acute kidney injury (AKI). However, the rate of AKI in patients of different severities and independent predictive factors associated with AKI are not well understood. Patients and Methods: We enrolled 107 severely or critically ill elderly patients with COVID-19 who were admitted to the intensive care unit (ICU) in Wuhan, China. AKI was defined according to the 2012 KDIGO criteria. We explored the association between AKI and in-hospital mortality using logistic regression. A predictive nomogram was formulated to predict the AKI development of patients with COVID-19 based on multivariate logistic regression. Results: A total of 107 elderly patients were enrolled during the study period. The mean age was 70 (64-78) years, and 69 (64.5%) were men. For the 107 patients, the degree of severity of COVID-19 was categorized as 37 patients with the severe type (34.6%) and 70 patients with the critical type (65.4%). Overall, 48 of the 107 patients (44.9%) developed AKI during their hospitalization, while AKI occurred in 7 (18.9%) out of the 37 severe patients and 41 (44.9%) out of the 70 critical patients. Of the AKI patients, 35.4% (17/48) required continuous renal replacement therapy, including 14.3% of AKI patients in severe cases and 39.0% of AKI patients in critical cases. Kaplan-Meier analysis demonstrated that patients with AKI had a significantly higher risk for in-hospital mortality than severely and critically ill patients without AKI. Multivariate logistic regression analysis showed that AKI (OR = 33.74; 95% CI = 3.34-341.29; P = 0.003), septic shock (OR = 15.58; 95% CI = 2.08-116.78; P = 0.008), invasive mechanical ventilation (OR = 18.44; 95% CI = 2.35-144.69; P = 0.006), and oxygenation index (OR = 0.99; 95% CI = 0.98-1.000; P = 0.014) were independent risk factors for in-hospital mortality. A nomogram was established based on the multivariate analysis results. The C-index for the developed AKI model was 0.935 (95% CI, 0.892-0.978); when 10-fold cross validation was used to validate the model, the corrected C-index was 0.825. Conclusion: AKI is common among COVID-19 patients admitted to the ICU and is recognized as a marker of disease severity. The proposed nomogram accurately predicted AKI development in ICU patients with COVID-19 based on individual characteristics. Therefore, the strategy for kidney protection against severe or critical pneumonia is appropriate. SN - 1178-1998 UR - https://www.unboundmedicine.com/medline/citation/33204075/Acute_Kidney_Injury_Can_Predict_In_Hospital_Mortality_in_Elderly_Patients_with_COVID_19_in_the_ICU:_A_Single_Center_Study_ L2 - https://dx.doi.org/10.2147/CIA.S273720 DB - PRIME DP - Unbound Medicine ER -