Objective To investigate the association of sleep disorders with the development and progression of nonalcoholic fatty liver disease(NAFLD).Methods A total of 1 868 participants from the health examination cohort and fatty liver cohort of Beijing Friendship Hospital from June 2022 to June 2023 were enrolled as subjects.Related data were collected from all subjects,including age,sex,education level,chronic medical history,and biochemical parameters,and all subjects completed Pittsburgh Sleep Quality Index(PSQI)scale independently.According to the diagnostic criteria,the subjects were divided into non-NAFLD group with 1 122 subjects and NAFLD group with 746 subjects,and according to the stage of progression,the patients in the NAFLD group were further divided into simple fatty liver group(SFL group with 624 subjects)and nonalcoholic steatohepatitis(NASH)group with 122 subjects.A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between three groups.The chi-square test was used for comparison of categorical data between the three groups.The binary Logistic regression analysis was used to investigate the association between sleep factors and NAFLD,and the multinomial Logistic regression analysis was used to investigate the association between sleep factors and the different stages of NAFLD;two multivariate models were constructed for adjustment of potential confounding factors,i.e.,an age-sex adjustment model and a multivariate adjustment model,and the multivariate adjustment model adjusted the factors of age,sex,education level,smoking,diabetes,hypertension,body mass index(BMI),triglyceride(TG),and high-density lipoprotein cholesterol(HDL-C).Results There were significant differences in age,sex,BMI,education level,smoking,diabetes,hypertension,alanine aminotransferase,TG,and HDL-C between the non-NAFLD,SFL,and NASH groups(all P<0.05).There were also significant differences between the three groups in the total score of PSQI scale and the proportion of subjects with a score of 0—3 points for the 7 sleep components(all P<0.05).The multivariate adjustment model showed no significant association between sleep disorders and SFL,while long sleep latency(odds ratio[OR]=4.04,95%confidence interval[CI]:2.33—7.03,P<0.001),short sleep duration(OR=3.53,95%CI:1.83—6.82,P<0.001),and severe sleep disorders(OR=2.96,95%CI:1.48—5.93,P=0.002)were closely associated with the risk of NASH.Conclusion Overall sleep condition and its components of sleep disorders are not significantly associated with the simple fatty liver;however,long sleep latency,short sleep duration,and severe sleep disorders can increase the risk of NASH,which should be taken seriously in clinical practice.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.