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Clin Exp Nephrol Clinical Features of Hemodialysis Patients With COVID-19: A Single-Center Retrospective Study on 32 Patients

tetano

Editor, Senior Moderator
Clin Exp Nephrol


. 2020 May 27.
doi: 10.1007/s10157-020-01904-w. Online ahead of print.
Clinical Features of Hemodialysis Patients With COVID-19: A Single-Center Retrospective Study on 32 Patients


Xingguo Du[SUP] 1 [/SUP], Hua Li[SUP] 1 [/SUP], Liping Dong[SUP] 1 [/SUP], Xiaojie Li[SUP] 1 [/SUP], Ming Tian[SUP] 2 [/SUP], Junwu Dong[SUP] 3 [/SUP]



Affiliations

Abstract

Objective: We retrospectively analyzed the data of 32 hemodialysis patients with COVID-19 to clarify the epidemiological characteristics of this special population.
Method: The data of 32 hemodialysis patients with COVID-19, including epidemiological, demographic, clinical, laboratory, and radiological, were collected from the Blood Purification Department of Wuhan Fourth Hospital from February 3 to 16, 2020.
Results: Of the 32 patients, 23 were male, and the median age was 58 years; the median dialysis vintage was 33 months. Two groups were divided according to the patient's primary renal disease: group 1 (16 patients with diabetic nephropathy), group 2 (12 patients with primary glomerulonephritis, 2 with obstructive kidney disease, 1 with hypertensive renal damage, and 1 with polycystic kidney). No significant differences were observed between the two groups in epidemiological characteristics, blood cell counts, and radiological performance. Hemodialysis patients are susceptible to COVID-19 at all ages, and patients with diabetes may be a high-risk population (50%). Common symptoms included fever (15 cases), cough (21 cases), and fatigue (7 cases). The blood lymphocyte count decreased in 84.6% of the patients (median: 0.765 ? 10[SUP]9[/SUP]/L). Chest CT revealed ground-glass-like lesions in 18 cases, unilateral lung patchiness in 7 cases, bilateral lung patchiness in 7 cases, and pleural effusion in 2 cases.
Conclusion: Only 46.875% of the hemodialysis patients with COVID-19 had fever in the early stage; and diabetics may be the most susceptible population. A decrease in blood lymphocyte count and ground-glass opacity on chest CT scan is beneficial in identifying the high-risk population.

Keywords: Blood routine test; Chest CT scan; Clinical features; Coronavirus disease 2019; Hemodialysis.
 
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