1.Optimal assisted reproductive strategies for infertile patients with congenital adrenal hyperplasia associated with CYP17A1 gene mutations: a systematic review
Zhijin HOU ; Yang LIU ; Xiaoling YANG ; Dongya LI ; Yushi MENG
Chinese Journal of Reproduction and Contraception 2025;45(8):826-832
Objective:To comprehensively evaluate treatment outcomes and assisted reproductive approaches in infertility patients with CYP17A1-deficient congenital adrenal hyperplasia [including 17α-hydroxylase/17,20-lyase deficiency (17-OHD) and isolated 17,20-lyase deficiency (IDL)]. Methods:In this study, PubMed, Embase, Web of Science, Ovid, CNKI, Wanfang Data base, and the Chinese Biomedical Literature Database were systematically searched. The data extracted included basic patient information, treatment plans, and pregnancy outcomes, which were then analyzed descriptively.Results:Totally 19 articles were included, covering 23 cases of successful live births. Among the 23 patients with successful live births, there were 19 patients with 17-OHD, including 17 cases became pregnant through in vitro fertilization and embryo transfer (IVF-ET), 1 case through natural pregnancy, and 1 case through oocyte donation pregnancy; there were 4 cases with IDL, including 2 cases through natural pregnancy and 2 cases through IVF-ET pregnancy. Conclusion:IVF-ET is the preferred fertility treatment option for patients with partial form of 17-OHD. For IDL patients who have natural ovulation, natural pregnancy can be attempted. Glucocorticoids play a crucial role in improving pregnancy outcomes, but their use needs to be individualized.
2.Distribution of allergen components of dust mite in children with airway allergic diseases
Huijie HUANG ; Li XIANG ; Nannan JIANG ; Mian WEI ; Xiaoling HOU
Chinese Journal of General Practitioners 2025;24(5):581-586
Objective:To analyze the distribution of allergen components of dust mite in children with airway allergic diseases.Methods:This was a cross-sectional study. The clinical data of children with dust mite-induced allergic asthma (AA) complicated with allergic rhinitis (AR) or allergic rhinitis who were treated in Department of Allergy,Beijing Children′s Hospital from January 2019 to October 2022 were retrospectively analyzed. The spedific IgE (sIgE) levels to Der p1,Der p2,Der p5,Der p7,Der p10,Der p21,Der p23 and Der f1,Der f2 were detected by protein chip method. The distribution of dust mite sensitized components and the sIgE levels in children with different airway allergic diseases and different ages were compared.Results:Among 138 children with airway allergic diseases,there were 97 boys and 41 girls,age (6.86±2.61) years old,and there were 106 cases of AA combined AR (AAAR group) and 32 cases of AR alone (AR group). The sensitization rates of Der p2 was the highest (75.4%,104/138),followed by Der f2 (74.6%,103/138),Der f1 (73.9%,102/138),Der p1 (71.7%,99/138),Der p21 (19.6%,27/138),Der p5 (16.7%,23/138),Der p23 (14.5%,20/138),Der p7 (11.6%,16/138) and Der p10 (2.9%,4/138). The co-sensitization rate of Der p1,Der p2,Der f1 and Der f2 was the highest (31.2%,43/138). There was no significant difference in sensitization rate of dust mites components between AAAR group and AR group(all P>0.05). AAAR group had higher levels of sIgE to Der p23 than AR group [0.1 (0,0.1) IU/ml vs. 0 (0,0.1) IU/ml,Z=-2.819, P=0.005]. There were no significant differences in the positive rate of dust mite components and sIgE levels between children aged≤6 and>6 years old with airway allergic diseases(all P>0.05). Conclusions:Der p1,Der p2,Der f1 and Der f2 are the major components of dust mites sensitizing airway allergic diseases in children. Der p1,Der p2,Der f1 and Der f2 are the main co-sensitizing components in children with dust mite-induced airway allergic diseases. Compared with AR,the sIgE level to Der p23 in children with AAAR is higher.
3.Construction of a diagnostic prediction model for childhood allergic asthma based on the detection results of specific IgE for airborne allergens
Chunyi YUE ; Li XIANG ; Xiaoling HOU ; Huijie HUANG
Chinese Journal of Preventive Medicine 2025;59(5):658-666
Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.
4.Optimal assisted reproductive strategies for infertile patients with congenital adrenal hyperplasia associated with CYP17A1 gene mutations: a systematic review
Zhijin HOU ; Yang LIU ; Xiaoling YANG ; Dongya LI ; Yushi MENG
Chinese Journal of Reproduction and Contraception 2025;45(8):826-832
Objective:To comprehensively evaluate treatment outcomes and assisted reproductive approaches in infertility patients with CYP17A1-deficient congenital adrenal hyperplasia [including 17α-hydroxylase/17,20-lyase deficiency (17-OHD) and isolated 17,20-lyase deficiency (IDL)]. Methods:In this study, PubMed, Embase, Web of Science, Ovid, CNKI, Wanfang Data base, and the Chinese Biomedical Literature Database were systematically searched. The data extracted included basic patient information, treatment plans, and pregnancy outcomes, which were then analyzed descriptively.Results:Totally 19 articles were included, covering 23 cases of successful live births. Among the 23 patients with successful live births, there were 19 patients with 17-OHD, including 17 cases became pregnant through in vitro fertilization and embryo transfer (IVF-ET), 1 case through natural pregnancy, and 1 case through oocyte donation pregnancy; there were 4 cases with IDL, including 2 cases through natural pregnancy and 2 cases through IVF-ET pregnancy. Conclusion:IVF-ET is the preferred fertility treatment option for patients with partial form of 17-OHD. For IDL patients who have natural ovulation, natural pregnancy can be attempted. Glucocorticoids play a crucial role in improving pregnancy outcomes, but their use needs to be individualized.
5.Distribution of allergen components of dust mite in children with airway allergic diseases
Huijie HUANG ; Li XIANG ; Nannan JIANG ; Mian WEI ; Xiaoling HOU
Chinese Journal of General Practitioners 2025;24(5):581-586
Objective:To analyze the distribution of allergen components of dust mite in children with airway allergic diseases.Methods:This was a cross-sectional study. The clinical data of children with dust mite-induced allergic asthma (AA) complicated with allergic rhinitis (AR) or allergic rhinitis who were treated in Department of Allergy,Beijing Children′s Hospital from January 2019 to October 2022 were retrospectively analyzed. The spedific IgE (sIgE) levels to Der p1,Der p2,Der p5,Der p7,Der p10,Der p21,Der p23 and Der f1,Der f2 were detected by protein chip method. The distribution of dust mite sensitized components and the sIgE levels in children with different airway allergic diseases and different ages were compared.Results:Among 138 children with airway allergic diseases,there were 97 boys and 41 girls,age (6.86±2.61) years old,and there were 106 cases of AA combined AR (AAAR group) and 32 cases of AR alone (AR group). The sensitization rates of Der p2 was the highest (75.4%,104/138),followed by Der f2 (74.6%,103/138),Der f1 (73.9%,102/138),Der p1 (71.7%,99/138),Der p21 (19.6%,27/138),Der p5 (16.7%,23/138),Der p23 (14.5%,20/138),Der p7 (11.6%,16/138) and Der p10 (2.9%,4/138). The co-sensitization rate of Der p1,Der p2,Der f1 and Der f2 was the highest (31.2%,43/138). There was no significant difference in sensitization rate of dust mites components between AAAR group and AR group(all P>0.05). AAAR group had higher levels of sIgE to Der p23 than AR group [0.1 (0,0.1) IU/ml vs. 0 (0,0.1) IU/ml,Z=-2.819, P=0.005]. There were no significant differences in the positive rate of dust mite components and sIgE levels between children aged≤6 and>6 years old with airway allergic diseases(all P>0.05). Conclusions:Der p1,Der p2,Der f1 and Der f2 are the major components of dust mites sensitizing airway allergic diseases in children. Der p1,Der p2,Der f1 and Der f2 are the main co-sensitizing components in children with dust mite-induced airway allergic diseases. Compared with AR,the sIgE level to Der p23 in children with AAAR is higher.
6.Construction of a diagnostic prediction model for childhood allergic asthma based on the detection results of specific IgE for airborne allergens
Chunyi YUE ; Li XIANG ; Xiaoling HOU ; Huijie HUANG
Chinese Journal of Preventive Medicine 2025;59(5):658-666
Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.
7.Application of digital technology in the repair of functional and aesthetic defects in patients with acid erosion and severe attrition:a case report
Weiwei HOU ; Xuhong ZHENG ; Xiaoling CHEN ; Weiliang CAI ; Chaoyang WANG ; Zhiwei SU ; Juan ZHAO
West China Journal of Stomatology 2024;42(1):111-120
Noncarious lesions,a multifactorial condition encompassing tooth attrition,abrasion,and erosion,have a surge in prevalence and required increased attention in clinical practice.These nonbacterial-associated tooth de-fects can compromise aesthetics,phonetics,and mastica-tory functions.When providing full-arch fixed occlusal rehabilitation for such cases,the treatment strategy should extend beyond by restoring dentition morphology and aesthetics.This report details a complex case of erosive dental wear addressed through a fully digital,full-arch fixed occlusal rehabilitation.A 4D virtual patient was created using multiple digital data sources,including intraoral scanning,3D facial scanning,digital facebow registration,and mandibular movement tracing.With a comprehensive understanding of the masticatory system,various types of microinvasive prostheses were customized for each tooth,including labial ve-neers,buccal-occlusal veneers,occlusal veneers,overlays,inlays,and full crowns,were customized for each tooth.The reported digital workflow offered a predictable diagnostic and treatment strategy,which was facilitated by virtual visual-ization and comprehensive quality control throughout the process.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Effects of perioperative goal-directed fluid therapy on hemodynamics, postoperative recovery and complications in elderly patients with gastric cancer radical surgery complicated by hypertension
Juan CHEN ; Xiaoling LI ; Shaofei CHENG ; Junde HOU ; Yongxue CHEN ; Fei LI
Journal of Clinical Medicine in Practice 2024;28(15):105-109
Objective To investigate the effects of perioperative goal-directed fluid therapy (GDFT) on hemodynamics, postoperative recovery, and complications in elderly patientswith gastric cancer radical surgery complicated by hypertension. Methods A total of 88 elderly patients with gastric cancer radical surgery complicated by hypertension were enrolled and randomly divided into treatment group and control group, with 44 patients in each group. The treatment group received GDFT during the perioperative period, while the control group received conventional fluid therapy. The mean arterial pressure, heart rate, and central venous oxygen saturation (ScvO2) at different time points, as well as postoperative exhaust time, postoperative hospital stay, and postoperative complication rates were compared between the two groups. Results The time effects (
10.Control stability analysis of long-term standardized treatment and management for children aged under 6 years with asthma
Li ZHAO ; Li XIANG ; Huijie HUANG ; Xiaoling HOU
International Journal of Pediatrics 2023;50(3):210-215
Objective:To evaluate the outcome and stability of control statuses in children under 6 years old with bronchial asthma(abbreviated asthma)who were received long-term standardized treatment and management, and to analyze the factors affecting the control stability.Methods:Using the case registration study, a total of 173 asthmatic children under 6 years old were selected from January 2014 to December 2020 in the department of allergy of Beijing Children′s Hospital.All the patients were received asthma long-term standardized treatment and management for 1 year to 2 years.Control statuses were evaluated at 1 year and 2 years follow up visits respectively.According to the changes of stage evaluations of control statuses, the control stabilities were decided, and patients were divided into stable control group and unstable control group.The parameters of exacerbation, repeated respiratory tract infection, pneumonia, concomitant diseases, allergen sensitization, pulmonary function, initial treatment level, delivery mode, feeding method and family history of allergic diseases were compared between the two groups at 1 year and 2 years respectively.Results:Of the 173 patients included, 17.9%(31/173)were younger than 3 years old and 82.1%(142/173)were 3 to 5 years old.After treatment and management for 1 year and 2 years, the proportions of asthma control levels assessed as good control were 51.6%(16/31)and 70.0%(21/30)respectively in the patients younger than 3 years old, and they were 74.6%(106/142)and 76.7%(79/103)respectively in the patients aged 3 to 5 years old.At 1 year and 2 years of treatment and management, the proportions of stable control and unstable control in 173 patients were 28.9%(50/173), 71.1%(123/173)and 26.3%(35/133), 73.7%(98/133), respectively.Asthma control stability status assessment and analysis showed that in the stable control group than that in the unstable control group, at 1 year and 2 years follow up visits, the percentages of exacerbations were lower(28.0% and 54.3% vs 64.2% and 72.4%), and the differences were statistically significant( χ2=18.768 and 3.889, all P<0.05).At 1 year follow up visits, the egg sensitization rate was higher(53.1% vs 32.9%), and the difference was statistically significant( χ2=3.921, P<0.05); the initial treatment level was higher, and the proportions of level 2, 3, 4 initial treatment were(4.0%, 22.0% and 74.0% vs 20.3%, 34.1% and 45.5%), and the difference was statistically significant( Z=-3.608, P<0.05).At 2 years follow up visits, the egg and milk sensitization rates were higher(61.9% and 42.9% vs 26.2% and 18.0%), and the differences were statistically significant( χ2=8.698 and 5.220, all P<0.05).There were no significant differences on the distributions in repeated respiratory tract infection, pneumonia, concomitant diseases, pulmonary function, delivery mode, feeding method and family history of allergic diseases. Conclusion:Stable asthma control is more likely to be achieved in children aged under 6 years with asthma who are manifesting no asthma exacerbation, presenting food sensitization and using the initial treatment at a high level.


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