Clinical outcomes of dialysis patients with COVID-19 in the initial phase of the COVID-19 outbreak in Wuhan, China.

PURPOSE: Since the end of 2019, dialysis patients have been at risk of coronavirus disease 2019 (COVID-19) as well as other potential complications. Hence, we sought to describe the clinical characteristics of dialysis patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: We reviewed clinical outcomes, which consisted of clinical data extracted from the medical records of 695 registered dialysis patients at the Dialysis Center of Central Hospital of Wuhan from January 13th, 2020, to February 29th, 2020, and performed statistical analysis. According to the results, there were 447, 227 and 21 hemodialysis (HD), peritoneal dialysis (PD) and combined HD and PD (HD&PD) cases, respectively. RESULTS: During the outbreak of COVID-19, 36 dialysis patients were infected by SARS-CoV-2. Among those 36 patients, 32 (7.2%) were on HD, and 4 (1.8%) were on PD. When comparing SARS-CoV-2 infection between HD and PD, the relative risk was 4.07 (RR = 4.07, 95% CI 1.46-11.35). We noted a median age of 66 years during the observation period, and the number of male patients was 23 (63.9%). There were 15 fatal cases tested positive for SARS-CoV-2 (13 cases on HD and 2 cases on PD). By comparing mortality in the same period of 2018, 2019 and 2020, the all-cause mortality of hemodialysis patients was significantly higher in 2020 (4.89%) than in either 2018 (2.55%) or 2019 (1.97%). There was no significant difference in mortality from all causes excluding COVID-19, during the same period among the 3-year period. However, during the COVID-19 outbreak, the mortality from all causes excluding COVID-19 was 2.73%, which was slightly higher than that from COVID-19 (2.16%). CONCLUSIONS: Although COVID-19 seriously threatens the health of people with uremia, deaths from all causes excluding COVID-19 during the epidemic cannot be ignored.

Clinical Features and Risk Factors of ICU Admission for COVID-19 Patients with Diabetes.

INTRODUCTION: Previous studies of coronavirus disease 2019 (COVID-19) have focused on the general population. However, diabetes (DM) as one of the most common comorbidities is rarely studied in detail. This study is aimed at describing clinical characteristics and determining risk factors of ICU admission for COVID-19 patients with DM. METHODS: Data were extracted from 288 adult patients with laboratory-confirmed COVID-19 from Guangzhou Eighth People's Hospital. Demographic characteristics, laboratory results, radiographic findings, complications, and treatments were collected and compared between DM and non-DM groups. Binary logistic regression was used to identify the risk factors associated with ICU admission for COVID-19 patients with DM or non-DM. RESULTS: COVID-19 patients with DM showed as older ages, higher levels of C-reactive protein (CRP), myoglobin, alanine transaminase (ALT), and aspartate transaminase (AST). They were also more prone to transfer to the intensive care unit (ICU) for treatment. Multiple regression analysis showed that the following were the independent risk factors for COVID-19 patients with DM that received ICU admission: each 1-year increase in age (odds ratio (OR), 1.07; 95% CI, 1.02-1.13; P = 0.007), respiratory rate over 24 times per minute (OR, 5.22; 95% CI, 2.26-16.58; P = 0.016), HbA1c greater than 7% (OR, 4.58; 95% CI, 1.82-10.55; P = 0.012), and AST higher than 40 U/L (OR, 2.96; 95% CI, 1.58-8.85; P = 0.022). In addition, each 1-year increase in age (OR, 1.05; 95% CI, 1.01-1.10; P = 0.006), diarrhea (OR, 4.62; 95% CI, 2.01-9.36; P = 0.022), respiratory rate over 24 times per minute (OR, 5.13; 95% CI, 1.18-16.82; P = 0.035), CRP greater than 10 mg/L (OR, 5.19; 95% CI, 1.37-13.25, P = 0.009), and TnI higher than 0.03 µg/L (OR, 6.48; 95% CI, 1.17-21.38; P = 0.036) were risk factors for ICU admission of COVID-19 patients with non-DM. CONCLUSIONS: The older age, respiratory rate over 24 times per minute, HbA1c greater than 7%, and AST higher than 40 U/L were risk factors of ICU admission for COVID-19 patients with diabetes. Investigating and monitoring these factors could assist in the risk stratification of COVID-19 patients with DM at an early stage.

Epidemiological analysis of 67 local COVID-19 clusters in Sichuan Province, China.

BACKGROUND: This study was intended to investigate the epidemiological characteristics of COVID-19 clusters and the severity distribution of clinical symptoms of involved cases in Sichuan Province, so as to provide information support for the development and adjustment of strategies for the prevention and control of local clusters. METHODS: The epidemiological characteristics of 67 local clusters of COVID-19 cases in Sichuan Province reported as of March 17, 2020 were described and analyzed. Information about all COVID-19 clusters and involved cases was acquired from the China Information System for Disease Control and Prevention and analyzed with the epidemiological investigation results taken into account. RESULTS: The clusters were temporally and regionally concentrated. Clusters caused by imported cases from other provinces accounted for 73.13%; familial clusters accounted for 68.66%; the average attack rate was 8.54%, and the average secondary attack rate was 6.11%; the median incubation period was 8.5 d; a total of 28 cases met the criteria for incubation period determination, and in the 28 cases, the incubation period was > 14 d in 21.43% (6/28). a total of 226 confirmed cases were reported in the 67 clusters. Ten cases were exposed before the confirmed cases they contacted with developed clinical symptoms, and the possibility of exposure to other infection sources was ruled out; two clusters were caused by asymptomatic carriers; confirmed cases mainly presented with fever, respiratory and systemic symptoms; a gradual decline in the severity of clinical symptoms was noted with the increase of the case generation. CONCLUSIONS: Population movement and gathering restrictions and strict close contact management measures will significantly contribute to the identification and control of cases. Transmission during the incubation period and asymptomatic infections have been noted. Studies on the pathogenicity and transmissibility in these populations and on COVID-19 antibody levels and protective effects in healthy people and cases are required.