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10.1007/s10157-020-01904-w

http://scihub22266oqcxt.onion/10.1007/s10157-020-01904-w
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suck abstract from ncbi


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pmid32462378      Clin+Exp+Nephrol 2020 ; 24 (9): 829-835
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  • Clinical features of hemodialysis patients with COVID-19: a single-center retrospective study on 32 patients #MMPMID32462378
  • Du X; Li H; Dong L; Li X; Tian M; Dong J
  • Clin Exp Nephrol 2020[Sep]; 24 (9): 829-835 PMID32462378show ga
  • 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 x 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.
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |China/epidemiology[MESH]
  • |Coronavirus Infections/blood/complications/diagnostic imaging/*epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Kidney Failure, Chronic/*complications[MESH]
  • |Lymphocyte Count[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/blood/complications/diagnostic imaging/*epidemiology[MESH]
  • |Radiography, Thoracic[MESH]
  • |Retrospective Studies[MESH]


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