2019 novel coronavirus disease in hemodialysis (HD) patients: Report from one HD center in Wuhan, China
Ma, Y.; Diao, B.; Lv, X.; Zhu, J.; Liang, W.; Liu, L.; Bu, W.; Cheng, H.; Zhang, S.; Shi, M.; Ding, G.; Shen, B.; Wang, H.
Show abstract
ImportanceThe outbreak of highly contagious COVID-19 has posed a serious threat to human health, especially for those with underlying diseases. However, Impacts of COVID-19 epidemic on HD center and HD patients have not been reported. ObjectiveTo summery an outbreak of COVID-19 epidemic in HD center. Design, Setting, and ParticipantsWe reviewed the epidemic course from the first laboratory-confirmed case of COVID-19 infection on January 14 to the control of the epidemic on March 12 in the HD center of Renmin Hospital of Wuhan University. Total 230 HD patients and 33 medical staff were included in this study ExposuresCOVID-19. Main Outcomes and MeasuresEpidemiological, clinical, laboratory, and radiological characteristics and outcomes data were collected and analyzed. 19 COVID-19 HD patients, 19 non-COVID-19 HD patients and 19 healthy volunteers were enrolled for further study about the effect of SARS-CoV-2 infection on host immune responses. Results42 out of 230 HD patients (18.26%) and 4 out of 33 medical staffs (12.12%) were diagnosed with COVID-19 from the outbreak to March 12, 2020. 13 HD patients (5.65%), including 10 COVID-19 diagnosed, died during the epidemic. Only 2 deaths of the COVID-19 HD patients were associated with pneumonia/lung failure. Except 3 patients were admitted to ICU for severe condition (8.11%), including 2 dead, most COVID-19 diagnosed patients presented mild or none-respiratory symptoms. Multiple lymphocyte populations in HD patients were significantly decreased. HD patients with COVID-19 even displayed more remarkable reduction of serum inflammatory cytokines than other COVID-19 patients. Conclusions and RelevanceHD patients are the highly susceptible population and HD centers are high risk area during the outbreak of COVID-19 epidemic. HD Patients with COVID-19 are mostly clinical mild and unlikely progress to severe pneumonia due to the impaired cellular immune function and incapability of mounting cytokines storm. More attention should be paid to prevent cardiovascular events, which may be the collateral impacts of COVID-19 epidemic on HD patients.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Survival analysis of hospital length of stay of novel coronavirus (COVID-19) pneumonia patients in Sichuan, China 93%
- Prevalence and determinants of poor glycemic control among diabetic chronic kidney disease patients on maintenance hemodialysis in Tanzania 93%
- Epidemiological, clinical, and laboratory findings for patients of different age groups with confirmed coronavirus disease 2019 (COVID-19) in a hospital in Saudi Arabia 93%
Similar papers in this journal
- Estimation of novel coronavirus (covid-19) reproduction number and case fatality rate: a systematic review and meta-analysis 91%
- The serological diversity of serum IgG/IgA/IgM against the SARS-CoV-2 nucleoprotein, spike, and receptor-binding domain and neutralizing antibodies in patients with COVID-19 in Japan 91%
- Surveillance of seasonal respiratory viruses among Chilean patients during the COVID-19 pandemic 88%
Similar papers in this journal
- Upregulation of ARHGAP9 is correlated with poor prognosis and immune infiltration in clear cell renal cell carcinoma 92%
- The Impact of Coronavirus Disease 2019 (COVID-19) on Liver Injury in China: A Systematic Review and Meta-analysis 91%
- Relationship between Serum Leptin, Lipid Metabolism, HbA1c, and Renal Function in Individuals with Type 2 Diabetes Mellitus and Obesity and in Individuals with Type 2 Diabetes Mellitus without Obesity 90%
Similar papers in this journal
- Longitudinal Cluster Analysis Of Hemodialysis Patients With COVID-19 In The Pre-Vaccination Era 87%
- Spherocytosis-related L1340P mutation in ankyrin affects its interactions with spectrin 86%
- Single-cell transcriptome profiling simulation reveals the impact of sequencing parameters and algorithms on clustering 85%
Similar papers in this journal
- Evaluation of triage checklist for mild COVID-19 outpatients in predicting subsequent emergency department visits and hospitalization during isolation period 91%
- Laboratory diagnostic of acute kidney injury and its progression: risk of underdiagnosis in female and elderly patients 90%
- Screening for Right Ventricular Dysfunction in the Emergency Department Using a Smartphone ECG Analysis Application: An External Validation Study with Acute Pulmonary Embolism Patients 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.