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Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients

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 radiologi...

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Autores principales: Du, Xingguo, Li, Hua, Dong, Liping, Li, Xiaojie, Tian, Ming, Dong, Junwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252511/
https://www.ncbi.nlm.nih.gov/pubmed/32462378
http://dx.doi.org/10.1007/s10157-020-01904-w
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author Du, Xingguo
Li, Hua
Dong, Liping
Li, Xiaojie
Tian, Ming
Dong, Junwu
author_facet Du, Xingguo
Li, Hua
Dong, Liping
Li, Xiaojie
Tian, Ming
Dong, Junwu
author_sort Du, Xingguo
collection PubMed
description 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(9)/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.
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spelling pubmed-72525112020-05-28 Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients Du, Xingguo Li, Hua Dong, Liping Li, Xiaojie Tian, Ming Dong, Junwu Clin Exp Nephrol Original Article 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(9)/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. Springer Singapore 2020-05-27 2020 /pmc/articles/PMC7252511/ /pubmed/32462378 http://dx.doi.org/10.1007/s10157-020-01904-w Text en © Japanese Society of Nephrology 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Du, Xingguo
Li, Hua
Dong, Liping
Li, Xiaojie
Tian, Ming
Dong, Junwu
Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title_full Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title_fullStr Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title_full_unstemmed Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title_short Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients
title_sort clinical features of hemodialysis patients with covid-19: a single-center retrospective study on 32 patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252511/
https://www.ncbi.nlm.nih.gov/pubmed/32462378
http://dx.doi.org/10.1007/s10157-020-01904-w
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