1.Risk factors for bronchopulmonary dysplasia in twin preterm infants:a multicenter study
Yu-Wei FAN ; Yi-Jia ZHANG ; He-Mei WEN ; Hong YAN ; Wei SHEN ; Yue-Qin DING ; Yun-Feng LONG ; Zhi-Gang ZHANG ; Gui-Fang LI ; Hong JIANG ; Hong-Ping RAO ; Jian-Wu QIU ; Xian WEI ; Ya-Yu ZHANG ; Ji-Bin ZENG ; Chang-Liang ZHAO ; Wei-Peng XU ; Fan WANG ; Li YUAN ; Xiu-Fang YANG ; Wei LI ; Ni-Yang LIN ; Qian CHEN ; Chang-Shun XIA ; Xin-Qi ZHONG ; Qi-Liang CUI
Chinese Journal of Contemporary Pediatrics 2024;26(6):611-618
Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.
2.Development of nanographene oxide as clinical drug carrier in cancer therapy
Chun-Lian ZHONG ; Chang-Jian FANG ; Gui-Yu ZHOU ; Hui-Ling ZHU ; Tang ZHENG ; Wan-Jing ZHUANG ; Jian LIU ; Yu-Sheng LU
Chinese Pharmacological Bulletin 2024;40(8):1413-1418
Immunotherapy is an important breakthrough in canc-er treatment.Unfortunately,low drug concentration in tumor sites almost ineffectively initiates immune responses and thereby severely limits immune therapy applications in clinics.Nanoma-terials are well-recognized drug delivery system in cancer thera-py.Nanographene oxide(NGO)have shown immense perti-nence for anti-cancer drug delivery owing to their ultra-high sur-face area,chemical stability,good biocompatibility and excel-lent photosensitivity.In addition,functionalized modifications on the surface of NGO increase tumor targeting and minimize cy-totoxicity.This study focuses on reviewing the literature and up-dates on NGO in drug delivery and discussing the possibilities and challenges of NGO in cancer synergetic therapy.
3.To compare the efficacy and incidence of severe hematological adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia.
Xiao Shuai ZHANG ; Bing Cheng LIU ; Xin DU ; Yan Li ZHANG ; Na XU ; Xiao Li LIU ; Wei Ming LI ; Hai LIN ; Rong LIANG ; Chun Yan CHEN ; Jian HUANG ; Yun Fan YANG ; Huan Ling ZHU ; Ling PAN ; Xiao Dong WANG ; Gui Hui LI ; Zhuo Gang LIU ; Yan Qing ZHANG ; Zhen Fang LIU ; Jian Da HU ; Chun Shui LIU ; Fei LI ; Wei YANG ; Li MENG ; Yan Qiu HAN ; Li E LIN ; Zhen Yu ZHAO ; Chuan Qing TU ; Cai Feng ZHENG ; Yan Liang BAI ; Ze Ping ZHOU ; Su Ning CHEN ; Hui Ying QIU ; Li Jie YANG ; Xiu Li SUN ; Hui SUN ; Li ZHOU ; Ze Lin LIU ; Dan Yu WANG ; Jian Xin GUO ; Li Ping PANG ; Qing Shu ZENG ; Xiao Hui SUO ; Wei Hua ZHANG ; Yuan Jun ZHENG ; Qian JIANG
Chinese Journal of Hematology 2023;44(9):728-736
Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult
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Humans
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Adolescent
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Imatinib Mesylate/adverse effects*
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Incidence
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Antineoplastic Agents/adverse effects*
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Retrospective Studies
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Pyrimidines/adverse effects*
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Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy*
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Treatment Outcome
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Benzamides/adverse effects*
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Leukemia, Myeloid, Chronic-Phase/drug therapy*
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Aminopyridines/therapeutic use*
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Protein Kinase Inhibitors/therapeutic use*
4.Cord blood transplantation with thiotepa containing myeloablative conditioning in a case of pediatric primary myelofibrosis.
Xin Yu LI ; Ke HUANG ; Hong Gui XU ; Le SHEN ; Li Ping ZHAN ; Zheng Zhou WU ; Xiao Jun WU ; Qian Wen HUANG ; Wen Qing HUANG ; Bing CHENG ; Jian Pei FANG
Chinese Journal of Pediatrics 2022;60(5):471-473
5. Protective effects of proanthocyanidins from Rubus amabilis Focke on pancreatic tissues of diabetic mice
Jian FANG ; Jin-Zhi TONG ; Yu-Fan YANG ; Jian-Hui ZHANG ; Tian-Tian ZHU ; Jiao-Jiao SHANG ; Min SUN ; Gui-Xing ZHU ; Li TONG
Chinese Pharmacological Bulletin 2021;37(9):1219-1224
Aim To study the protective effect of proanthocyanidins extracted from Rubus amabilis Focke (RPC) on the pancreatic tissues of diabetic mice and the underlying mechanism. Methods C57BL/6 male mice were given a high-sugar and high-fat diet combined with an intraperitoneal injection of STZ to establish the diabetic model. The mice whose FBG were higher than 16. 7 mmol · L
6.Effect of glucose metabolism disorders on the short-term prognosis in neonates with asphyxia: a multicenter study in Hubei Province, China.
Chun-Hua LIU ; Hui WANG ; Si-Cong PENG ; Wen-Xiang WANG ; Rong JIAO ; Sha PAN ; Tian-Jiao ZHU ; Xiao-Ying LUAN ; Xiao-Fang ZHU ; Su-Ying WU ; De-Guo WEI ; Bing-Feng FU ; Rui-Hong YAN ; Shu-Jie YANG ; Ya-Hui LUO ; Gui-Ping LI ; Min YANG ; De-Zhao JIA ; Chuang GAO ; Xiong-Fei XIAO ; Li XIONG ; Jie SUN ; Jia-Peng XIAO ; Bo-Wen LI ; Yan-Ni LI ; Lian-Hong ZHANG ; Tian-Guo LI ; Min CHENG ; Jian-Xin XIA ; Shi-Wen XIA
Chinese Journal of Contemporary Pediatrics 2021;23(12):1208-1213
OBJECTIVES:
To study the effect of glucose metabolism disorders on the short-term prognosis in neonates with asphyxia.
METHODS:
A retrospective analysis was performed on the medical data of the neonates with asphyxia who were admitted to 52 hospitals in Hubei Province of China from January to December, 2018 and had blood glucose data within 12 hours after birth. Their blood glucose data at 1, 2, 6, and 12 hours after birth (with an allowable time error of 0.5 hour) were recorded. According to the presence or absence of brain injury and/or death during hospitalization, the neonates were divided into a poor prognosis group with 693 neonates and a good prognosis group with 779 neonates. The two groups were compared in the incidence of glucose metabolism disorders within 12 hours after birth and short-term prognosis.
RESULTS:
Compared with the good prognosis group, the poor prognosis group had a significantly higher proportion of neonates from secondary hospitals (48.5% vs 42.6%,
CONCLUSIONS
Recurrent hyperglycemia in neonates with asphyxia may suggest poor short-term prognosis, and it is necessary to strengthen the early monitoring and management of the nervous system in such neonates.
Asphyxia
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Asphyxia Neonatorum/epidemiology*
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Humans
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Hyperglycemia
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Infant, Newborn
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Prognosis
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Retrospective Studies
7.Prevalence, Risk Factors, and Psychological Effects of Primary Nocturnal Enuresis in Chinese Young Adults
Hui Jie HU ; Zhen Wei ZHANG ; Yu LIANG ; Yan Yan LUO ; Qi Feng DOU ; Cui Ping SONG ; Hui Min ZHANG ; Ying ZHAO ; Guang Run TIAN ; Ke ZHANG ; Qiu Fang MAO ; Jing Gui SONG ; Soren RITTIG ; Jian Guo WEN
International Neurourology Journal 2021;25(1):84-92
Purpose:
This study aimed to investigate the prevalence, risk factors, and effects of primary nocturnal enuresis (PNE) on physical and mental health in young adults in mainland China.
Methods:
An anonymous questionnaire was used to collect information including the sociodemographic characteristics, history of PNE, family history, daytime voiding symptoms, Pittsburgh Sleep Quality Index (PSQI) scores, Self-Esteem Scale (SES), and Self-Rating Depression Scale (SDS). A total of 22,500 university students from 23 provinces and 368 cities in mainland China were included.
Results:
In total, 21,082 questionnaires were collected, and 20,345 of them qualified for statistical analysis. The PNE prevalence was 1.17%, and the distribution of monosymptomatic nocturnal enuresis (MNE) and nonmonosymptomatic nocturnal enuresis (NMNE) was 66.1% and 33.9%, respectively. In total, 28% of respondents with PNE reported bedwetting daily, 31.6% between 1 and 7 times weekly, and 40.4% between 1 and 4 times monthly; 80% of PNE cases had no history of treatment. The prevalence of PNE in patients with a family history, frequency, urgency, urinary incontinence, and recurrent urinary tract infections was significantly higher than in those without these conditions (P<0.001). PNE was significantly correlated with the PSQI total score (sleep quality) (P=0.011). The SES score was lower and the SDS was higher (P<0.001) in the PNE group than in those without PNE.
Conclusions
In mainland China, the PNE prevalence among young adults was found to be high, and PNE had significant effects on physical and mental health. Risk factors included a family history, daytime voiding symptoms, and lack of treatment.
8.Risk factors of extramedullary relapse after allogeneic hematopoietic stem cell transplantation in patients with myeloid leukemia
Yingling ZU ; Jian ZHOU ; Yanli ZHANG ; Yuewen FU ; Baijun FANG ; Fengkuan YU ; Huifang ZHAO ; Ruirui GUI ; Yanyan LIU ; Zhen LI ; Xudong WEI ; Yongping SONG
Chinese Journal of Internal Medicine 2021;60(1):41-44
Objective:To evaluate risk factors and available treatments of extramedullary relapse (EMR) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with myeloid leukemia.Methods:A total of 280 patients were retrospectively analyzed from January 2008 to December 2018 in Affiliated Cancer Hospital of Zhengzhou University. Clinical data were collected including disease patterns, pre-transplantation status, chromosome karyotype, conditioning regimen, types of donor, extramedullary disease before transplantation and graft-versus-host disease (GVHD). The log-rank test and Cox proportional hazard model were uesd for univariate analysis and multivariate analysis, respectively.Results:Twenty patients developed EMR (7.14%). The median time of EMR was 7.5 (1-123) months after allo-HSCT. The mortality of EMR was 80% (16/20). Univariate analysis identified disease patterns, second complete remission (CR2) or progressive disease before transplantation, extramedullary disease, abnormal karyotype and conditioning regimen without total body radiation as significant factors correlated to EMR ( P<0.05). Multi-variable analysis revealed that CR2 or progressive disease ( RR=3.468,95% CI 2.189-7.786), abnormal karyotype ( RR=1.494,95% CI 1.020-2.189) and extramedullary disease before transplantation ( RR=8.627,95% CI 3.921-18.452) were independent risk factors of EMR. Conclusions:The clinical outcome of EMR after allo-HSCT is poor.It is crucial to comprehensively assess and identify EMR as early as possible.
9.Prevalence, Risk Factors, and Psychological Effects of Primary Nocturnal Enuresis in Chinese Young Adults
Hui Jie HU ; Zhen Wei ZHANG ; Yu LIANG ; Yan Yan LUO ; Qi Feng DOU ; Cui Ping SONG ; Hui Min ZHANG ; Ying ZHAO ; Guang Run TIAN ; Ke ZHANG ; Qiu Fang MAO ; Jing Gui SONG ; Soren RITTIG ; Jian Guo WEN
International Neurourology Journal 2021;25(1):84-92
Purpose:
This study aimed to investigate the prevalence, risk factors, and effects of primary nocturnal enuresis (PNE) on physical and mental health in young adults in mainland China.
Methods:
An anonymous questionnaire was used to collect information including the sociodemographic characteristics, history of PNE, family history, daytime voiding symptoms, Pittsburgh Sleep Quality Index (PSQI) scores, Self-Esteem Scale (SES), and Self-Rating Depression Scale (SDS). A total of 22,500 university students from 23 provinces and 368 cities in mainland China were included.
Results:
In total, 21,082 questionnaires were collected, and 20,345 of them qualified for statistical analysis. The PNE prevalence was 1.17%, and the distribution of monosymptomatic nocturnal enuresis (MNE) and nonmonosymptomatic nocturnal enuresis (NMNE) was 66.1% and 33.9%, respectively. In total, 28% of respondents with PNE reported bedwetting daily, 31.6% between 1 and 7 times weekly, and 40.4% between 1 and 4 times monthly; 80% of PNE cases had no history of treatment. The prevalence of PNE in patients with a family history, frequency, urgency, urinary incontinence, and recurrent urinary tract infections was significantly higher than in those without these conditions (P<0.001). PNE was significantly correlated with the PSQI total score (sleep quality) (P=0.011). The SES score was lower and the SDS was higher (P<0.001) in the PNE group than in those without PNE.
Conclusions
In mainland China, the PNE prevalence among young adults was found to be high, and PNE had significant effects on physical and mental health. Risk factors included a family history, daytime voiding symptoms, and lack of treatment.
10.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
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Breast/diagnostic imaging*
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Breast Neoplasms/diagnostic imaging*
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China
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Deep Learning
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Humans
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ROC Curve
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Sensitivity and Specificity

Result Analysis
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