1.Clinical features and sepsis-related factors in 159 patients with necrotizing soft tissue infection.
Hongmin LUO ; Xiaoyan WANG ; Xu MU ; Zeyang YAO ; Chuanwei SUN ; Lianghua MA ; Shaoyi ZHENG ; Huining BIAN ; Wen LAI
Chinese Critical Care Medicine 2025;37(9):817-821
OBJECTIVE:
To explore the clinical features of patients with necrotizing soft tissue infection (NSTI) and the related factors for sepsis, so as to provide a basis for early intervention and improvement of patients' prognosis.
METHODS:
A retrospective case series study was conducted to analyze the clinical data of NSTI patients admitted to the department of burns and wound repair surgery of Guangdong Provincial People's Hospital from October 2021 to December 2024. Demographic information, underlying diseases, infection characteristics, laboratory test results and etiological findings at admission, treatment status, occurrence of complications (including sepsis) and prognosis were collected. Univariate and multivariate Logistic regression analyses were used to identify the associated factors for sepsis in NSTI patients. Receiver operator characteristic curves (ROC curves) were plotted to evaluate the predictive value of individual and combined factors for sepsis.
RESULTS:
A total of 159 NSTI patients were enrolled, mainly middle-aged and elderly males. Most patients had comorbidities, including diabetes mellitus (110 cases, 69.2%) and hypertension (67 cases, 42.1%). The main infection site was the lower extremities (104 cases, 65.4%). Common symptoms included redness (96 cases, 60.4%), swelling (129 cases, 81.1%), local heat (60 cases, 37.7%), pain (100 cases, 62.9%), and skin ulceration or necrosis (9 cases, 5.7%). Imaging findings included soft tissue swelling (66 cases, 57.9%), gas accumulation (41 cases, 36.0%), and abnormal signal/density shadows (50 cases, 43.9%). Staphylococcus aureus was the main pathogenic bacterium [12.0% (31/259)], and drug-resistant Escherichia coli had the highest detection rate among drug-resistant bacteria [35.1% (13/37)]. Regarding debridement and repair, most patients (80 cases, 50.3%) underwent debridement ≥ 72 hours after admission, while only 10.1% (16 cases) received debridement within 6 hours. Most patients underwent multiple debridements, with 2 times of debridements being the most common (68 cases, 42.8%), and the maximum times of debridements reached 6. The largest number of patients received secondary suture (44 cases, 27.7%). In terms of complications, sepsis was the most common (66 cases, 41.51%), followed by acute kidney injury, respiratory failure requiring mechanical ventilation, and multiple organ dysfunction syndrome (MODS), while disseminated intravascular coagulation (DIC) was the least common. During the follow-up period, 9 patients (5.66%) were readmitted within 90 days, and 11 patients died, with a mortality rate of 6.92%. Univariate analysis showed that diabetes, coronary heart disease, gout, body temperature, heart rate, C-reactive protein, platelet count, total bilirubin, albumin, creatinine, out-of-hospital treatment, and out-of-hospital use of antimicrobial agents were significantly associated with sepsis in NSTI patients (all P < 0.05). Multivariate Logistic regression analysis showed that coronary heart disease [odds ratio (OR) = 30.085, 95% confidence interval (95%CI) was 2.105-956.935], C-reactive protein (OR = 1.026, 95%CI was 1.009-1.054), and total bilirubin (OR = 1.436, 95%CI was 1.188-1.948) were independent associated factors for sepsis in NSTI patients (all P < 0.05). ROC curve analysis revealed that the combination of the three predictors yielded the highest AUC for predicting sepsis in NSTI patients compared to any individual predictor [area under the curve (AUC) = 0.799 (95%CI was 0.721-0.878)].
CONCLUSIONS
The clinical features of NSTI patients show certain regularity. Coronary heart disease, C-reactive protein, and total bilirubin are independent associated factors for sepsis in NSTI patients.
Humans
;
Retrospective Studies
;
Male
;
Sepsis
;
Soft Tissue Infections/microbiology*
;
Female
;
Middle Aged
;
Aged
;
Adult
;
Prognosis
;
Risk Factors
;
Necrosis
;
Logistic Models
;
Fasciitis, Necrotizing
2.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
3.Predictive value of dual-energy CT quantitative parameters in determining breast cancer molecular subtypes and EGFR expression
Bing SUN ; Yinshi ZHENG ; Kunpeng FENG ; Mu YUAN ; Hongmei CHEN ; Wenqi HUANG
Chinese Journal of Endocrine Surgery 2025;19(2):213-217
Objective:To explore the predictive potential of dual-energy CT (DECT) quantitative parameters in identifying breast cancer molecular subtypes and the expression of the epidermal growth factor receptor (EGFR) .Methods:A cohort of 97 breast cancer patients, treated between Jun. 2022 and Jun. 2024 were selected. The study compared DECT parameters-such as iodine concentration (IC) , normalized iodine concentration (NIC) , spectral curve slope (λ HU) , and effective atomic number (Z eff) in both arterial and venous phases across different molecular subtypes. A multiclass logistic regression model was employed to assess the parameters' value in predicting molecular subtypes, while a binary logistic regression model was used to evaluate their predictive value for EGFR expression. Results:Multiple Logistic regression analysis showed that after adjusting for confounder age and family history, IC ( OR=1.72, 2.78, 3.05) , NIC ( OR=2.52, 1.94, 2.93) , λ HU ( OR=2.08, 2.54, 3.17) and Z eff ( OR=2.03, 2.30, 2.37) at arterial stage were independently correlated with the molecular subtypes of breast cancer ( P<0.05) . Binary logistic regression analysis, adjusted for tumor size and lymph node metastasis, identified arterial phase IC ( OR=3.45) , NIC ( OR=2.73) , λ HU ( OR=2.59) , and Z eff ( OR=1.76) as independent risk factors for EGFR-positive breast cancer ( P<0.05) . Conclusion:DECT quantitative parameters, particularly arterial phase IC, NIC, λ HU, and Zeff, offer valuable insights into the molecular subtyping of breast cancer and EGFR expression, thereby assisting in the development of personalized treatment strategies.
4.Predictive value of dual-energy CT quantitative parameters in determining breast cancer molecular subtypes and EGFR expression
Bing SUN ; Yinshi ZHENG ; Kunpeng FENG ; Mu YUAN ; Hongmei CHEN ; Wenqi HUANG
Chinese Journal of Endocrine Surgery 2025;19(2):213-217
Objective:To explore the predictive potential of dual-energy CT (DECT) quantitative parameters in identifying breast cancer molecular subtypes and the expression of the epidermal growth factor receptor (EGFR) .Methods:A cohort of 97 breast cancer patients, treated between Jun. 2022 and Jun. 2024 were selected. The study compared DECT parameters-such as iodine concentration (IC) , normalized iodine concentration (NIC) , spectral curve slope (λ HU) , and effective atomic number (Z eff) in both arterial and venous phases across different molecular subtypes. A multiclass logistic regression model was employed to assess the parameters' value in predicting molecular subtypes, while a binary logistic regression model was used to evaluate their predictive value for EGFR expression. Results:Multiple Logistic regression analysis showed that after adjusting for confounder age and family history, IC ( OR=1.72, 2.78, 3.05) , NIC ( OR=2.52, 1.94, 2.93) , λ HU ( OR=2.08, 2.54, 3.17) and Z eff ( OR=2.03, 2.30, 2.37) at arterial stage were independently correlated with the molecular subtypes of breast cancer ( P<0.05) . Binary logistic regression analysis, adjusted for tumor size and lymph node metastasis, identified arterial phase IC ( OR=3.45) , NIC ( OR=2.73) , λ HU ( OR=2.59) , and Z eff ( OR=1.76) as independent risk factors for EGFR-positive breast cancer ( P<0.05) . Conclusion:DECT quantitative parameters, particularly arterial phase IC, NIC, λ HU, and Zeff, offer valuable insights into the molecular subtyping of breast cancer and EGFR expression, thereby assisting in the development of personalized treatment strategies.
5.Network analysis of perceived social support,depressive and anxiety symptoms in rural-to-urban migrated and rural residents
Sifang NIU ; Xingmeng NIU ; Shuzhang HU ; Yu SUN ; Yi ZHENG ; Yueqin HUANG ; Fuqin MU ; Yan LIU
Chinese Mental Health Journal 2025;39(3):251-258
Objective:To explore relationships and differences of perceived social support and depression-anx-iety symptoms between rural-to-urban migrated residents and rural residents.Methods:A total of 5 958 rural-to-ur-ban migrated residents and 4 720 rural residents were recruited.The Patient Health Questionnaire-9,Generalized Anxiety Disorder-7,and Perceived Social Support Scale were used to assess symptoms of depression,anxiety,and social support,respectively.Network estimation,centrality and predictability measurement,accuracy and stability verification,and network comparison were conducted based on R 4.2.0 to compare the network structure differ-ences between the two groups of residents.Results:In rural-to-urban migrated residents,"lack of energy"in depres-sive symptoms and"inability to control worry"in anxiety symptoms were the nodes with the highest expected influ-ence(EI).In rural residents,"low self-evaluation"in depressive symptoms and"difficulty relaxing"in anxiety symptoms were the nodes with the highest EI.The highest node of perceived social support EI for both groups was"support from relatives/leaders."The bridge nodes were the same for rural-to-urban migrated residents and rural residents,with"be down in spirits"being the nodes with the highest bridge expected influence.The results of net-work comparison test showed that the overall network structure of rural-to-urban migrated residents and rural resi-dents was statistically different(P<0.05).Conclusion:There are correlation and difference among depressive symptoms,anxiety symptoms,and perceived social support in rural-to-urban migrated and rural residents.
6.Development and validation of a nomogram prediction model of suicidal ideation in community residents
Yan QIN ; Sifang NIU ; Xingmeng NIU ; Yangziye GUO ; Yu SUN ; Yi ZHENG ; Fuqin MU ; Zhaorui LIU ; Yueqin HUANG ; Yan LIU
Chinese Mental Health Journal 2025;39(3):244-250
Objective:To explore the risk factors of suicidal ideation in community residents in Shandong province,China,and to establish a prediction model and a nomogram for the risk of suicidal ideation.Methods:To-tally 11 087 community residents in Jining City,Zoucheng City,and Weifang City,Shandong Province,were recrui-ted as the study subjects.The general information questionnaire,Composite International Diagnostic Interview-3.0,General Anxiety Disorder-7,were used to collect demographic information,mental health status,family information,and lifestyle using a computer-assisted interview system to conduct face-to-face interview.LASSO regression and binary logistic regression analyses were used to develop a nomogram model of the risk of suicidal ideation.Results:Young people,female,smoking,non-new town residents,no physical exercise,difficulty approaching people,anxiety symptoms and depression were effective predictors of suicidal ideation.The area under the curve(AUC)of the training set(AUC)was 0.89(95%CI:0.85-0.93)and AUC of the validation set(AUC)was 0.83(95%CI:0.75-0.92).Conclusion:The nomogram prediction model constructed in this study on suicidal ideation in com-munity residents has a high degree of differentiation and accuracy.It could be used to screen people at high risk of suicide and provide intervention to suicidal ideation in community residents.
7.Network analysis of perceived social support,depressive and anxiety symptoms in rural-to-urban migrated and rural residents
Sifang NIU ; Xingmeng NIU ; Shuzhang HU ; Yu SUN ; Yi ZHENG ; Yueqin HUANG ; Fuqin MU ; Yan LIU
Chinese Mental Health Journal 2025;39(3):251-258
Objective:To explore relationships and differences of perceived social support and depression-anx-iety symptoms between rural-to-urban migrated residents and rural residents.Methods:A total of 5 958 rural-to-ur-ban migrated residents and 4 720 rural residents were recruited.The Patient Health Questionnaire-9,Generalized Anxiety Disorder-7,and Perceived Social Support Scale were used to assess symptoms of depression,anxiety,and social support,respectively.Network estimation,centrality and predictability measurement,accuracy and stability verification,and network comparison were conducted based on R 4.2.0 to compare the network structure differ-ences between the two groups of residents.Results:In rural-to-urban migrated residents,"lack of energy"in depres-sive symptoms and"inability to control worry"in anxiety symptoms were the nodes with the highest expected influ-ence(EI).In rural residents,"low self-evaluation"in depressive symptoms and"difficulty relaxing"in anxiety symptoms were the nodes with the highest EI.The highest node of perceived social support EI for both groups was"support from relatives/leaders."The bridge nodes were the same for rural-to-urban migrated residents and rural residents,with"be down in spirits"being the nodes with the highest bridge expected influence.The results of net-work comparison test showed that the overall network structure of rural-to-urban migrated residents and rural resi-dents was statistically different(P<0.05).Conclusion:There are correlation and difference among depressive symptoms,anxiety symptoms,and perceived social support in rural-to-urban migrated and rural residents.
8.Development and validation of a nomogram prediction model of suicidal ideation in community residents
Yan QIN ; Sifang NIU ; Xingmeng NIU ; Yangziye GUO ; Yu SUN ; Yi ZHENG ; Fuqin MU ; Zhaorui LIU ; Yueqin HUANG ; Yan LIU
Chinese Mental Health Journal 2025;39(3):244-250
Objective:To explore the risk factors of suicidal ideation in community residents in Shandong province,China,and to establish a prediction model and a nomogram for the risk of suicidal ideation.Methods:To-tally 11 087 community residents in Jining City,Zoucheng City,and Weifang City,Shandong Province,were recrui-ted as the study subjects.The general information questionnaire,Composite International Diagnostic Interview-3.0,General Anxiety Disorder-7,were used to collect demographic information,mental health status,family information,and lifestyle using a computer-assisted interview system to conduct face-to-face interview.LASSO regression and binary logistic regression analyses were used to develop a nomogram model of the risk of suicidal ideation.Results:Young people,female,smoking,non-new town residents,no physical exercise,difficulty approaching people,anxiety symptoms and depression were effective predictors of suicidal ideation.The area under the curve(AUC)of the training set(AUC)was 0.89(95%CI:0.85-0.93)and AUC of the validation set(AUC)was 0.83(95%CI:0.75-0.92).Conclusion:The nomogram prediction model constructed in this study on suicidal ideation in com-munity residents has a high degree of differentiation and accuracy.It could be used to screen people at high risk of suicide and provide intervention to suicidal ideation in community residents.
9.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
10.A multicenter study on effect of delayed chemotherapy on prognosis of Burkitt lymphoma in children
Li SONG ; Ling JIN ; Yonghong ZHANG ; Xiaomei YANG ; Yanlong DUAN ; Mincui ZHENG ; Xiaowen ZHAI ; Ying LIU ; Wei LIU ; Ansheng LIU ; Xiaojun YUAN ; Yunpeng DAI ; Leping ZHANG ; Jian WANG ; Lirong SUN ; Rong LIU ; Baoxi ZHANG ; Lian JIANG ; Huixia WEI ; Kailan CHEN ; Runming JIN ; Xige WANG ; Haixia ZHOU ; Hongmei WANG ; Shushuan ZHUANG ; Chunju ZHOU ; Zifen GAO ; Xiao MU ; Kaihui ZHANG ; Fu LI
Chinese Journal of Pediatrics 2024;62(10):941-948
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.

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