1.Effect of enriched environment combined with acupuncture at head points on behavior in rats with autism spectrum disorder
Zichen MU ; Qiang TANG ; Yunqiu SHI ; Yan WANG ; Shuwei ZHU ; Ya'nan ZHUANG ; Danshuang XU ; Hongyu LI ; Baolong LI ; Chunyan ZHANG ; Mengke YUAN
Chinese Journal of Rehabilitation Theory and Practice 2024;30(2):176-182
ObjectiveTo observe the effect of enriched environment (EE) combined with acupuncture at head point (HA) on behavior in rats with autism spectrum disorder. MethodsHealthy female Wistar rats were given peritoneal injection of sodium valproate at 12.5 days of gestation. Twenty-four male offspring rats were randomly selected and then randomly divided into model group (n = 6), EE group (n = 6), HA group (n = 6) and EE combined with HA group (the combined group, n = 6). Six male offspring rats born from female mice injected with the same amount of saline intraperitoneally were as control group. After four weeks of treatment, all the five groups were tested with three-chamber test and marble burying test, and the sociability index, the social novelty index and the number of buried marbles were recorded. The levels of interleukin (IL)-1β and IL-6 in peripheral blood were determined by enzyme-linked immunosorbent assay (ELISA). ResultsAfter treatment, compared with the model group, the sociability index and the social novelty index improved (P < 0.05), the number of buried marbles reduced (P < 0.05), and the levels of IL-6 and IL-1β in peripheral blood decreased in EE group, HA group and the combined group (P < 0.05); while the combined group was the best (P < 0.01). ConclusionBoth EE or acupuncture at HA could improve behavioral symptoms, and reduce the expression of inflammatory factors in rats with autism spectrum disorder. The combination of the two methods showed the best result.
2.Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models.
Qian Wei CHEN ; Xue Zan HUANG ; Yu DING ; Feng Ren ZHU ; Jia WANG ; Yuan Jie ZOU ; Yuan Zhen DU ; Ya Jun ZHANG ; Zi Wen HUI ; Feng Lin ZHU ; Min MU
Biomedical and Environmental Sciences 2024;37(1):108-111
3.Application of serum tumor specific protein 70 for prognostic stratification in acute myeloid leukemia
Yiling HUANG ; Fei JIN ; Lixia ZHANG ; Yuan MU ; Fengyun LU ; Wenying XIA ; Qiong ZHU ; Shuxian YANG ; Jian XU ; Shiyang PAN
Chinese Journal of Preventive Medicine 2024;58(10):1541-1547
Objective:To assess the value of serum tumor specific protein 70 (SP70) for prognostic stratification in acute myeloid leukemia (AML).Methods:A cohort study design was adopted. 129 newly diagnosed AML patients from September 2022 to January 2024 at the Hematology Department of the First Affiliated Hospital of Nanjing Medical University were included, as well as a control group consisted of 120 healthy individuals and 7 cases with benign hematologic diseases during the same period (total 127 cases). Clinical data were collected from Electronic Medical Records. According to the 2023 edition of the Chinese Leukemia Diagnosis and Treatment Guidelines, AML patients with good or moderate prognosis were categorized as low-to-intermediate risk, while those with poor prognosis were high-risk group. Univariate and multivariate logistic regression analyses were used to identify variables significantly associated with AML prognostic risk. ROC analysis was used to evaluate diagnostic performance. A nomogram for predicting patient prognostic risk was constructed by R 4.0.2 software, and the internal validation was performed using bootstrapping.Results:Among 129 AML patients, there were 71 males (55.0%) and 58 females (45.0%), with 42 (32.6%) classified as high-risk and 87 (67.4%) as low-intermediate risk. The high-risk group had a significantly higher median age [62 (48, 67) years] compared to the low-intermediate risk group [50 (35, 63) years, Z=-2.381, P=0.017], and a significantly higher proportion of males (30 patients, 71.4%) compared to the low-intermediate risk group (41 patients, 47.1%, χ 2=6.760, P=0.009). Multivariate logistic regression analysis indicated that serum SP70 ( OR=2.54, 95% CI: 1.68-3.84, P<0.001), hemoglobin (HB) ( OR=0.96, 95% CI: 0.93-0.99, P<0.05), and bone marrow blast (BM blast) ( OR=1.07, 95% CI: 1.02-1.13, P<0.05) were independent risk factors for high-risk prognosis in AML patients. ROC analysis showed that the area under the curve (AUC) for SP70 predicting high-risk patients was 0.908 (cut-off value of 5.74 ng/ml, 95% CI: 0.845-0.952, sensitivity 90.5%, specificity 82.8%). The combined model of serum SP70, HB, and BM blasts had an AUC of 0.931 (95% CI: 0.890-0.973); C-index=0.925 (95% CI: 0.876-0.963),with no statistically significant difference compared to serum SP70 alone ( Z=1.693, P>0.05). Conclusion:Serum SP70 may be a promising non-invasive molecular biomarker for prognostic stratification in AML.
4.Application of serum tumor specific protein 70 for prognostic stratification in acute myeloid leukemia
Yiling HUANG ; Fei JIN ; Lixia ZHANG ; Yuan MU ; Fengyun LU ; Wenying XIA ; Qiong ZHU ; Shuxian YANG ; Jian XU ; Shiyang PAN
Chinese Journal of Preventive Medicine 2024;58(10):1541-1547
Objective:To assess the value of serum tumor specific protein 70 (SP70) for prognostic stratification in acute myeloid leukemia (AML).Methods:A cohort study design was adopted. 129 newly diagnosed AML patients from September 2022 to January 2024 at the Hematology Department of the First Affiliated Hospital of Nanjing Medical University were included, as well as a control group consisted of 120 healthy individuals and 7 cases with benign hematologic diseases during the same period (total 127 cases). Clinical data were collected from Electronic Medical Records. According to the 2023 edition of the Chinese Leukemia Diagnosis and Treatment Guidelines, AML patients with good or moderate prognosis were categorized as low-to-intermediate risk, while those with poor prognosis were high-risk group. Univariate and multivariate logistic regression analyses were used to identify variables significantly associated with AML prognostic risk. ROC analysis was used to evaluate diagnostic performance. A nomogram for predicting patient prognostic risk was constructed by R 4.0.2 software, and the internal validation was performed using bootstrapping.Results:Among 129 AML patients, there were 71 males (55.0%) and 58 females (45.0%), with 42 (32.6%) classified as high-risk and 87 (67.4%) as low-intermediate risk. The high-risk group had a significantly higher median age [62 (48, 67) years] compared to the low-intermediate risk group [50 (35, 63) years, Z=-2.381, P=0.017], and a significantly higher proportion of males (30 patients, 71.4%) compared to the low-intermediate risk group (41 patients, 47.1%, χ 2=6.760, P=0.009). Multivariate logistic regression analysis indicated that serum SP70 ( OR=2.54, 95% CI: 1.68-3.84, P<0.001), hemoglobin (HB) ( OR=0.96, 95% CI: 0.93-0.99, P<0.05), and bone marrow blast (BM blast) ( OR=1.07, 95% CI: 1.02-1.13, P<0.05) were independent risk factors for high-risk prognosis in AML patients. ROC analysis showed that the area under the curve (AUC) for SP70 predicting high-risk patients was 0.908 (cut-off value of 5.74 ng/ml, 95% CI: 0.845-0.952, sensitivity 90.5%, specificity 82.8%). The combined model of serum SP70, HB, and BM blasts had an AUC of 0.931 (95% CI: 0.890-0.973); C-index=0.925 (95% CI: 0.876-0.963),with no statistically significant difference compared to serum SP70 alone ( Z=1.693, P>0.05). Conclusion:Serum SP70 may be a promising non-invasive molecular biomarker for prognostic stratification in AML.
5.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
6.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
7.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
8.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
9.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.
10.Practices on"Center-Multidisciplinary Team"Structure for Rare Disease Management in General Hospitals
Yu ZHUANG ; Yuan ZHONG ; Xinxia WU ; Xuedong XU ; Rong MU ; Xiaohui ZHU ; Rong LI ; Wei FU
Chinese Hospital Management 2024;44(9):37-40
Objectives It was a preliminary exploration on rare disease management of comprehensive hospital based on the"Center-Multidisciplinary Team"structure.Methods By applying interrupted time series analysis,the characteristics and related medical service of rare disease patients discharged from sample hospitals from 2021 to 2023 were measured.Results The results showed that the hospital served 19 825 rare disease patients from 2021 to 2023.The proportion of patients whose main diagnosis were rare diseases was approximately 27%.The interrupted time series technique indicated that the expected proportion of rare disease patients increased instantly by 1.89 thousand points.The capability to diagnose has significantly improved,with a growing trend on volume of bioinformatics analysis services for rare diseases patients.Conclusion The rare disease management based on the"Center-Team"structure can increase the attention of medical staff to rare diseases,strengthen the diagnostic capacity of rare diseases,and make patient management more continuous and disciplinary co-operation more efficient without significantly increasing the input burden on hospitals.

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