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Objective: To investigate the efficacy and safety of tocilizumab in the treatment of critically ill children with acute necrotizing encephalopathy (ANE). Methods: It is a retrospective cohort study. The children with ANE admitted to the pediatric intensive care unit of 4 Chinese tertiary hospitals from December 2022 to November 2023 were divided into conventional treatment group and tocilizumab group, and the comparison between groups was performed by using Mann - Whitney U test or Chi-square test. Results: Among 21 cases of severe ANE, there were 11 males with the onset age of 65 (27, 113) months. The duration from onset to PICU admission was 2 (1, 2) days. There were 13 cases of ultra-high fever (greater than 40 ℃), including 18 cases of convulsions, and 19 cases with a GCS score of less than 8 points. The causative agent was novel coronavirus Omicron in 7 cases and influenza A in 14 cases. All cases had central respiratory failure requiring mechanical ventilation. Of the 21 cases, 18 were shock, 15 were coagulopathy, 10 were kidney injury and 13 were liver dysfunction. Of these hospitalized patients, 8 children with ANE were treated with tocilizumab. Eight cases received continuous blood purification (CBP) treatment, 5 of them were combined with plasmapheresis. Serum cytokine levels were elevated in 21 children with ANE, including (interleukin, IL)-6 and IL-8 (61 (22, 1 513) and 68 (5, 296) ng/L). There were 14 cases (67%) deaths, including 11 cases in the conventional treatment group and 3 cases in the tocilizumab group. There was no significant difference in the mortality rate between the two groups ( P =0.056). Tocilizumab-related rash or other adverse events were not observed. Conclusions: The motality of critically ill ANE patients was high. The combination of Tocilizumab with conventional treatment did not reduce the motality of severe ANE patients, and no adverse reactions of tocilizumab were observed.

BACKGROUND : Following the short-term outbreak of coronavirus disease 2019 (COVID-19) in December 2022 in China, clinical data on kidney transplant recipients (KTRs) with COVID-19 are lacking. METHODS : We conducted a single-center retrospective study to describe the clinical features, complications, and mortality rates of hospitalized KTRs infected with COVID-19 between Dec. 16, 2022 and Jan. 31, 2023. The patients were followed up until Mar. 31, 2023. RESULTS : A total of 324 KTRs with COVID-19 were included. The median age was 49 years. The median time between the onset of symptoms and admission was 13 d. Molnupiravir, azvudine, and nirmatrelvir/ritonavir were administered to 67 (20.7%), 11 (3.4%), and 148 (45.7%) patients, respectively. Twenty-nine (9.0%) patients were treated with more than one antiviral agent. Forty-eight (14.8%) patients were treated with tocilizumab and 53 (16.4%) patients received baricitinib therapy. The acute kidney injury (AKI) occurred in 81 (25.0%) patients and 39 (12.0%) patients were admitted to intensive care units. Fungal infections were observed in 55 (17.0%) patients. Fifty (15.4%) patients lost their graft. The 28-d mortality rate of patients was 9.0% and 42 (13.0%) patients died by the end of follow-up. Multivariate Cox regression analysis identified that cerebrovascular disease, AKI incidence, interleukin (IL)‍-6 level of >6.8 pg/mL, daily dose of corticosteroids of >50 mg, and fungal infection were all associated with an increased risk of death for hospitalized patients. CONCLUSIONS : Our findings demonstrate that hospitalized KTRs with COVID-19 are at high risk of mortality. The administration of immunomodulators or the late application of antiviral drugs does not improve patient survival, while higher doses of corticosteroids may increase the death risk.

Objective: To investigate the clinical characteristics of 130 children with severe SARS-CoV-2 infection in Yunnan province after the relaxation of non-pharmaceutical interventions, and analyze the risk factors for mortality. Methods: This study is a retrospective case summary that analyzed the demographic data, underlying diseases, clinical diagnoses, disease outcomes, and laboratory results of 130 children with severe COVID-19 infections admitted to nine top-tier hospitals in Yunnan Province from December 2022 to March 2023. According to the prognosis, the patients were divided into survival group and death group. The clinical and laboratory data between the two groups were compared, and the risk factors of death were evaluated. The χ 2 test and Mann-Whitney U test were employed to compare between groups, while Spearman correlation test and multiple Logistic regression were used to analyze the risk factors for death. The predictive value of independent risk factors was evaluated by receiver operating characteristic curve. Results: The 130 severe patients included 80 males and 50 females with an onset age of 28.0 (4.5, 79.5) months. There were 97 cases in the survival group and 33 cases in the death group with no significant differences in gender and age between the two groups ( P >0.05). Twenty-five cases (19.2%) out of the 130 patients had underlying diseases, and the number with underlying diseases was significantly higher in death group than in survival group (36.4% (12/33) vs . 13.4%(13/97), χ 2 =8.36, P =0.004). The vaccination rate in the survival group was significantly higher than that in the death group (86.1% (31/36) vs . 7/17, χ 2 =9.38, P =0.002). A total of 42 cases (32.3%) of the 130 patients were detected to be infected with other pathogens, but there was no significant difference in the incidence of co-infection between the death group and the survival group (39.3%(13/33) vs . 29.9% (29/97), χ 2 =1.02, P >0.05). Among the 130 cases, severe respiratory cases were the most common 66 cases (50.8%), followed by neurological severe illnesses 34 cases (26.2%) and circulatory severe 13 cases (10%). Compared to the survival group, patients in the death group had a significantly higher levels of neutrophil, ferritin, procalcitonin, alanine aminotransferase, lactate dehydrogenase, creatine kinase isoenzyme, B-type natriuretic peptide, interleukin-6 and 10 (6.7 (4.0, 14.0) vs . 3.0 (1.6, 7.0)×10 9 /L, 479 (298, 594) vs. 268 (124, 424) μg/L, 4.8 (1.7, 10.6) vs . 2.0 (1.1, 3.1) μg/L, 66 (20, 258) vs. 23 (15, 49) U/L, 464 (311, 815) vs. 304 (252, 388) g/L, 71(52, 110) vs. 24(15, 48) U/L, 484 (160, 804) vs. 154 (26, 440) ng/L, 43 (23, 102) vs. 19 (13, 27) ng/L, 216 (114, 318) vs. 86 (45, 128) ng/L, Z =-4.21, -3.67, -3.76, -3.31, -3.75, -5.74, -3.55, -4.65, -5.86, all P <0.05). The correlated indexes were performed by multivariate Logistic regression and the results showed that vaccination was a protective factor from death in severe cases ( OR =0.01, 95% CI 0-0.97, P =0.049) while pediatric sequential organ failure assessment (PSOFA) ( OR =3.31, 95% CI 1.47-7.47, P =0.004), neutrophil-to-lymphocyte ratio (NLR) ( OR =1.56, 95% CI 1.05-2.32, P =0.029) and D dimer ( OR =1.49, 95% CI 1.00-1.02, P =0.033) were independent risk factors for death (all P <0.05). The area under the curve of the three independent risk factors for predicting death were 0.86 (95% CI 0.79-0.94), 0.89 (95% CI 0.84-0.95) and 0.87 (95% CI 0.80-0.94), all P <0.001, and the cut-off values were 4.50, 3.66 and 4.69 mg/L, respectively. Conclusions: Severe SARS-CoV-2 infection can occur in children of all ages, primarily affecting the respiratory system, but can also infect the nervous system, circulatory system or other systems. Children who died had more severe inflammation, tissue damage and coagulation disorders. The elevations of PSOFA, NLR and D dimer were independent risk factors for death in severe children.

Objective: To describe the epidemiological characteristics and clinical features of patients with fatal coronavirus disease (COVID-19), in order to provide evidence for clinical diagnosis and treatment. Methods: In this retrospective study, we analyzed data on 141 fatal cases of confirmed COVID-19 that occurred among patients in Jinyintan Hospital in Wuhan, China, from January 20 to March 6, 2020. We analyzed their epidemiological characteristics, clinical and radiological features, laboratory results, and treatment. Results: Of the 141 patients (49 females, 92 males), the median age was 77 years (range: 24-92 years). The most likely source of exposure included the Huanan seafood market ( n= 3, 2%), family members ( n= 6, 4%), and hospital-acquired infection ( n= 8, 6%). The remaining 116 patients (72%) had no known source of exposure. Of the patients, 101 (72%) had chronic diseases. The most common comorbidities were hypertension, diabetes and coronary heart disease. The most common clinical manifestations were fever ( n= 121, 85%), dry cough ( n= 77, 54%), shortness of breath ( n= 23, 16%), and chest pain ( n= 15, 10%). Less common clinical manifestations included fatigue ( n= 7, 4%), headache ( n= 3, 2%), disorders of consciousness ( n= 2, 1%), diarrhea ( n= 2, 1%) and lumbago ( n= 1, 0.7%). In terms of laboratory tests, the absolute value of lymphocytes in most patients was reduced ( n= 132, 94%), but C-reactive protein ( n= 141, 100%), procalcitonin( n= 121, 89%), serum amyloid ( n= 140, 99%) were significantly increased. The most common findings on imaging of the lungs were bilateral multiple mottling and ground-glass opacity ( n= 101, 72%), mainly in the lower lobes ( n= 15, 10%), with lesions being more common on the right. Other imaging findings included diffuse consolidation ( n= 4, 3%), ground-glass opacity and consolidation ( n= 20, 14%), and pneumothorax ( n= 1, 0.7%). All patients were treated with antibiotics and antiviral drugs. Other treatments included immunoglobulin ( n= 49, 35%), corticosteroids ( n= 45, 32%), continuous renal replacement therapy ( n= 24, 17%), and extracorporeal membrane oxygenation ( n= 12, 9%). All patients were treated with oxygen therapy. The mode of administration included invasive mechanical ventilation ( n= 61, 43%), noninvasive mechanical ventilation ( n= 65, 46%), and nasal catheter oxygen inhalation ( n= 15, 11%). The direct causes of death were acute respiratory distress syndrome ( n= 90, 64%), multiple organ failure ( n= 24, 17%), sudden cardiac arrest ( n= 11, 8%), viral myocarditis ( n= 8, 5%), acute myocardial infarction ( n= 4, 3%), cerebrovascular accident ( n= 3, 2%), and acute gastrointestinal bleeding ( n= 1, 0.7%). Conclusions: Risk factors for death due to COVID-19 included older age, male sex, and the presence of comorbidities. The most common direct causes of death were acute respiratory distress syndrome, multiple organ failure, sudden cardiac arrest, and viral myocarditis.

Objective: To describe the COVID-19 epidemic and its characteristics in Heilongjiang province, and provide evidence for the further prevention and control of COVID-19 in the province. Methods: The information of COVID-19 cases and clusters were collected from national notifiable disease report system and management information system for reporting public health emergencies of China CDC. The Software's of Excel 2010 and SPSS 23.0 were applied for data cleaning and statistical analysis on the population, time and area distributions of COVID-19 cases. Results: On January 22, 2020, the first confirmed case of COVID-19 was reported in Heilongjiang. By March 11, 2020, a total of 482 cases domestic case of COVID-19, The incidence rate was 1.28/100 000, the mortality rate was 2.70% (13/482) in 13 municipalities in Heilongjiang. There were 81 clusters of COVID-19, The number of confirmed cases accounted for 79.25% (382/482) of the total confirmed cases and 12 cases of deaths. The family clusters accounted for 86.42% (70/81). Compared with the sporadic cases, the mortality rate, proportion of elderly cases aged 60 or above and severe or critical cases of clinical classification were all higher in the clusters especially the family clusters, but the differences were not significant ( P >0.05). There were 34 clusters involving more than 5 confirmed cases accounted for 41.98% (34/81) of the total clusters, the involved cases accounted for 68.31% (261/382) of the total cases of clusters. There were significant differences in age distribution of the cases among the case clusters with different case numbers. In the clusters involving 6-9 cases, the proportion of cases aged 65 years or above was more (26.53%, 39/147). Conclusions: The incidence rate of COVID-19 was relatively high and the early epidemic was serious in Heilongjiang, The number of cases was large in clusters especially family clusters.

Objective: To analyzes epidemiological characteristics of COVID-19 and provide evidence for adjustment for COVID-19 prevention and control strategies. Methods: The data of COVID-19 cases in Wuchang district reported as of 19 March, 2020 were obtained from National Notifiable Disease Report System of Chinese Disease Prevention and Control Information System. The software's of Excel 2010, SPSSS 22.0, Arc GIS10.2 and Joinpoint regression program 4.8.0.0 were used for statistical analysis. Results: A total of 7547 COVID-19 cases had been reported as of 19 March, 2020 in Wuchang district, including 5 448 confirmed cases (72.19 % ), 2009 clinical diagnosed cases (26.62 % ) and 90 asymptomatic cases case (1.19 % ). The age of the cases was (56.65±16.25) years and age ranged from 2 days to 105 years among confirmed cases, 2634 were males (48.35 % ) and 2814 were females (51.65 % ), 2 492 were retirees (45.74 % ). A total of 545 health workers were infected with SARS-CoV-2 (7.22 % of all cases) including 365 confirmed cases and 5 cases have died. A total of 430 cases of death were reported with case fatality rate of 7.89 % (430/5 448), case fatality rate of males (10.9 % , 266/2 634) was higher than that of females (5.82 % , 164/2 814). The first phase of epidemic peak was from January 24 to January 26, the second phase of epidemic peak was from February 1 to February 5 and there was no one of new confirmed case in one day for the first time on March 18. The first four Streets with the highest incidence rates of confirmed cases were Huanghelou Street (1 043.77/100 000), Ziyang Street (627.97/100 000), Yangyuan Street (503.67/100 000) and Shuiguohu Street (486.02/100 000). Compared with females, aged ≤50 years and mild cases of clinical classification respectively, males ( RR =0.690, 95 %CI : 0.322-1.478), aged >50 years ( RR =11.745, 95 %CI : 6.878-20.058), severe cases ( RR =2.317, 95 %CI : 1.789-3.000) and critical cases of clinical classification ( RR =10.794, 95 %CI : 7.997-14.569), and gender time-dependent covariate ( RR =1.392, 95 %CI : 1.053-1.840) were major influencing factors of prognosis of COVID-19 confirmed cases. Conclusions: The gender, ages and occupation of distribution were wide among COVID-19 cases in Wuchang district. Males, aged >50 years, severe cases and critical cases of clinical classification were influencing factors of prognosis of COVID-19 confirmed cases. The standardized management of discharged cases, asymptomatic infected cases and close contact persons were main measures to reduce incidence rates of COVID-19 cases.

Objective: To analyze the characteristics of COVID-19 case spectrum and spread intensity in different provinces in China except Hubei province. Methods: The daily incidence data and case information of COVID-19 were collected from the official websites of provincial and municipal health commissions. The morbidity rate, severity rate, case-fatality rate, and spread ratio of COVID-19 were calculated. Results: As of 20 March, 2020, a total of 12 941 cases of COVID-19 had been conformed, including 116 deaths, and the average morbidity rate, severity rate and case-fatality rate were 0.97/100 000, 13.5 % and 0.90 % , respectively. The morbidity rates in Zhejiang (2.12/100 000), Jiangxi (2.01/100 000) and Beijing (1.93/100 000) ranked top three. The characteristics of COVID-19 case spectrum varied from province to province. The first three provinces (autonomous region, municipality) with high severity rates were Tianjin (45.6 % ), Xinjiang (35.5 % ) and Heilongjiang (29.5 % ). The case-fatality rate was highest in Xinjiang (3.95 % ), followed by Hainan (3.57 % ) and Heilongjiang (2.70 % ). The average spread ratio was 0.98 and the spread intensity varied from province to province. Tibet had the lowest spread ratio (0), followed by Qinghai (0.20) and Guangdong (0.23). Conclusion: The intervention measures were effective in preventing the spread of COVID-19 and improved treatment effect in China. However, there were significant differences among different regions in severity, case-fatality rate and spread ratio.