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Published on: October 2, 2020
Clinical characteristics of deceased hemodialysis patients affected by COVID-19
Yonglong Min1,2, Li Cheng1,2, Can Tu1,2
1Department of Nephrology, Wuhan NO.1 Hospital, 215# Zhongshan Avenue, Wuhan, 430022, China.
Insights
Hemodialysis patients are at high risk for severe Coronavirus Disease 2019 (COVID-19). Poor nutritional status and metabolic imbalance are associated with increased mortality in these patients.
Area of Science:
- Nephrology
- Infectious Diseases
- Public Health
Background:
- Coronavirus Disease 2019 (COVID-19) is a global health emergency.
- Patients with comorbidities, including those on dialysis, face severe disease.
- Wuhan, China, was the epicenter of the initial outbreak.
Purpose of the Study:
- To investigate the epidemiological and clinical characteristics of COVID-19 in hemodialysis patients.
- To compare outcomes between surviving and deceased COVID-19 patients undergoing hemodialysis.
- To identify risk factors associated with mortality in this vulnerable population.
Main Methods:
- Retrospective review of the COVID-19 epidemic in a hemodialysis center in Wuhan.
- Comparison of epidemiological and clinical features between survivors and non-survivors.
- Analysis of presenting symptoms, laboratory values, and chest CT findings.
Main Results:
- Prevalence of COVID-19 among 627 hemodialysis patients was 11.8% (74 cases).
- The most common symptoms were cough, fatigue, fever, and dyspnea; 22.4% were asymptomatic.
- Mortality rate was 19% (14 deaths), with cough being more frequent in non-survivors. Surviving patients had better nutritional and metabolic markers.
- Chest CT scans were universally positive, often showing bilateral lesions.
Conclusions:
- Hemodialysis patients represent a high-risk group for severe and fatal COVID-19.
- While traditional factors like age and gender were not significantly associated with survival, poor nutritional status and metabolic imbalance correlated with increased mortality.
- This study highlights the need for targeted preventive and therapeutic strategies for COVID-19 in hemodialysis patients.
Background:
The recent outbreak of Coronavirus Disease 2019 (COVID-19) is a public health emergency of international concern. In China, Wuhan, Hubei Province was the epicenter. The disease is more severe in patients with high comorbidities and dialysis patients fall into this category.
Methods:
In this report, we reviewed the whole course of the epidemic emerged in the HD center of Wuhan NO.1 Hospital by 28 February 2020. We compared the differences on the epidemiological characteristics and clinical features between patients surviving from COVID-19 and patients who died.
Result:
In this hospital, at time of the present report, 627 patients were on chronic hemodialysis and the prevalence of affected cases was 11.8% (74/627).The median age of the COVID-19-positive patients was 63 years (range 31-88), with an almost even gender distribution (females accounted for 54.4%).The most frequent presenting symptom was cough (41.9%), followed by fatigue (24.2%), fever (17.2%) and dyspnea (14.8%); 22.4% of the cases were and asymptomatic. Fourteen of the 74 patients died (19%), as for presenting symptoms, cough was more frequent in patients who died (P < 0.05). Surviving patients had higher levels of phosphate and albumin, and lower levels of C-reactive protein (CRP). Chest CT scan was positive in all cases, including in asymptomatic ones, and revealed in about three fourths of the cases bilateral (76.2%) lesions; in each lung lesions were multiple in about half of the cases of the cases (52.3%). After diagnosis, median time to death was 7 days in the 14 patients who died, with a range between 4 and 18 days.
Conclusion:
This preliminary, single Center study identifies hemodialysis patients as a population at high risk of severe, and deadly COVID-19 infection. While classic baseline clinical conditions, including age, kidney disease and gender, are not significantly associated with survival in COVID-19 infected hemodialysis, our study also suggests a significant association between risk of and death, poor nutritional status and less than optimal metabolic balance.
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