Background: Chronic kidney disease (CKD) is an important comorbidity in Coronavirus Disease 2019 (COVID-19) patients considering its high prevalence. We aimed to figure out the relationship between CKD and COVID-19 mortality in this study.

Materials And Methods: In total, 116 CKD patients (estimated glomerular filtration rate [eGFR] lower than 60 mL/min/1.73 m) and 147 control subjects confirmed with COVID-19 were studied. Data regarding demographics, sign and symptoms, laboratory findings, and chest computed tomography were collected. Association between CKD and in-hospital mortality were analyzed using logistic regression models adjusted for confounders.

Results: Mortality rate was significantly higher in CKD than non-CKD (30.17 vs 4.76, < 0.001) COVID-19 patients. Multivariate logistic regression showed that CKD was significantly correlated with in-hospital mortality in the total sample (Odds ratio (OR) = 8.64, confidence interval (CI): 3.67-20.35) and gender subgroups (females: OR = 4.77, CI: 1.38-16.40, males: OR = 13.43, CI: 3.85-46.87) ( < 0.05) of COVID-19 patients in the crude model. Whereas, the correlation did not remain significant in the fully adjusted model in the total sample (OR = 1.70, CI: 0.35-8.19) and gender subgroups (females: OR = 1.07 CI: 0.06-19.82, males: OR = 0.87, CI: 0.07-10.33) ( > 0.05) of COVID-19 patients.

Conclusion: This study suggested an independent association between CKD and in-hospital mortality in COVID-19 patients. Therefore, more intensive surveillance of COVID-19 patients with CKD is to be warranted.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086659PMC
http://dx.doi.org/10.4103/abr.abr_352_21DOI Listing

Publication Analysis

Top Keywords

covid-19 patients
20
in-hospital mortality
16
covid-19
9
chronic kidney
8
kidney disease
8
coronavirus disease
8
disease 2019
8
2019 covid-19
8
ckd
8
association ckd
8

Similar Publications

The pathogenic potential of airborne particles carrying the SARS-CoV-2 viral genome was examined by considering the size distribution of airborne particles at given distances from the respiratory zone of an infected patient after coughing or sneezing with a focus on time, temperature, and relative humidity. The results show an association between the size distribution of airborne particles, particularly PM and PM, and the presence of viral genome in different stations affected by the distance from the respiratory zone and the passage of time. The correlation with time was strong with all the dependent factors except PM.

View Article and Find Full Text PDF

Objectives: To investigate the prevalence of pulmonary embolism (PE) in children admitted to critical care diagnosed with COVID-19 infection.

Design: Retrospective database study.

Setting: Data reported to the Virtual Pediatric Systems, 2018-2021.

View Article and Find Full Text PDF

Background: Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients with Coronavirus Disease 2019 (COVID-19) who are at risk for progression to severe disease due to the presence of one or more risk factors. Millions of treatment courses have been prescribed in the United States alone. Paxlovid was highly effective at preventing hospitalization and death in clinical trials.

View Article and Find Full Text PDF

The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.

View Article and Find Full Text PDF

Dogs can discriminate between people infected with SARS-CoV-2 from those uninfected, although their results vary depending on the settings in which they are exposed to infected individuals or samples of urine, sweat or saliva. This variability likely depends on the viral load of infected people, which may be closely associated with physiological changes in infected patients. Determining this viral load is challenging, and a practical approach is to use the cycle threshold (Ct) value of a RT-qPCR test.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!