Child ; Humans ; Granulomatous Disease, Chronic/complications* ; Pneumonia

Objective:To analyze the clinical characteristics of eosinophilic lung diseases(ELD) in children to enhance pediatricians′ understanding of ELD.Methods:In this retrospective cross-sectional study, a total of 149 children with ELD were recruited from Beijing Children′s Hospital, Capital Medical University between April 1, 2007 and March 31, 2022.Chi-square test, Fisher′s exact test, Mann-Whitney U test and Kruskal-Wallis test were used to analyze data and conclude clinical characteristics.Spearman correlation was used to analyze the correlation between eosinophils in peripheral blood and bronchoalveolar lavage fluid.Chi-square test and Kappa consistency test were used to compare the differences and consistency in diagnostic results between bronchoalveolar lavage fluid or lung biopsy and eosinophil elevation with chest imaging abnormalities. Results:(1)The isolated lung involvement was mostly caused by allergic bronchopulmonary aspergillosis(9 patients), and other system involvement by idiopathic hypereosinophilic syndrome(89 patients).(2)The main respiratory manifestations included coughing(90 cases, 60.4%) and expectoration(41 cases, 27.5%), while 23.5%(35 cases) of patients had no respiratory symptoms; 50.3% had digestive system involvement, and 40.9% had skin involvement.These were the two most commonly affected organs.(3)Spearman correlation was performed between eosinophils in peripheral blood and bronchoalveolar lavage fluid( r=0.3, P<0.05).Chi-square test was performed to compare ELD diagnosed by bronchoalveolar lavage fluid or lung biopsy with peripheral blood eosinophilia accompanied by abnormal chest imaging( P<0.05).Kappa consistency test(Kappa<0.2) showed poor consistency between the two diagnostic methods. Conclusions:ELD are present in children, and multiple etiologies may be pathogenic.Among children with ELD, the isolated lung involvement is mainly caused by allergic bronchopulmonary aspergillosis.The digestive system and skin are the most commonly affected organs, except for lungs.The correlation between eosinophil levels in peripheral blood and bronchoalveolar lavage fluid is poor.

Objective:To investigate and summarize pediatric patients with severe Mycoplasma pneumoniae pneumonia (MPP) presenting with varied clinical and chest imaging features in order to guide the individualized treatment. Methods:This was a retrospective cohort study. Medical records of clinical, imaging and laboratory data of 505 patients with MPP who were admitted to the Department Ⅱ of Respirology Center, Beijing Children′s Hospital, Capital Medical University from January 2016 to October 2023 and met the enrollment criteria were included. They were divided into severe group and non-severe group according to whether lower airway obliterans was developed. The clinical and chest imaging features of the two groups were analyzed. Those severe cases with single lobe ≥2/3 consolidation (lobar consolidation) were further divided into subtype lung-necrosis and subtype non-lung-necrosis based on whether lung necrosis was developed. Comparison on the clinical manifestations, bronchoscopic findings, whole blood C-reactive protein (CRP) and other inflammatory indicators between the two subtypes was performed. Comparisons between two groups were achieved using independent-sample t-test, nonparametric test or chi-square test. Univariate receiver operating characteristic (ROC) curve analyses were performed on the indicators such as CRP of the two subtypes. Results:Of the 505 cases, 254 were male and 251 were female. The age of the onset was (8.2±2.9) years. There were 233 severe cases, among whom 206 were with lobar consolidation and 27 with diffuse bronchiolitis. The other 272 belonged to non-severe cases, with patchy, cloudy infiltrations or single lobe <2/3 uneven consolidation or localized bronchiolitis. Of the 206 cases (88.4%) severe cases with lobar consolidation, 88 harbored subtype lung-necrosis and 118 harbored subtype non-lung-necrosis. All 206 cases (100.0%) presented with persistent high fever, among whom 203 cases (98.5%) presented with inflammatory secretion obstruction and plastic bronchitis under bronchoscopy. Of those 88 cases with subtype lung-necrosis, there were 42 cases (47.7%) with dyspnea and 39 cases (44.3%) with moderate to massive amount of pleural effusion. There were 35 cases (39.8%) diagnosed with lung embolism during the disease course, of which other 34 cases (38.6%) were highly suspected. Extensive airway mucosal necrosis was observed in 46 cases (52.3%), and the level of their whole blood CRP was significantly higher than that of subtype non-lung-necrosis (131.5 (91.0, 180.0) vs. 25.5 (12.0, 43.1) mg/L, U=334.00, P<0.001). They were regarded as subtype "lung consolidation-atelectasis-necrosis". Of those 118 cases with subtype non-lung-necrosis, 27 cases (22.9%) presented with dyspnea and none were with moderate to massive amount of pleural effusion. Sixty-five cases (55.1%) presented with plastic bronchitis and localized airway mucosal necrosis was observed in 32 cases (27.1%). They were deemed as subtype "lung consolidation-atelectasis". ROC curve analyses revealed that whole blood CRP of 67.5 mg/L on the 6-10 th day of disease course exhibited a sensitivity of 0.96, a specificity of 0.89, and an area under the curve of 0.97 for distinguishing between these two subtypes among those with lobar consolidation. Conclusions:Pediatric patients with severe MPP present with lobar consolidation or diffuse bronchiolitis on chest imaging. Those with lobar consolidation harbor 2 subtypes as "lung consolidation-atelectasis-necrosis" and "lung consolidation-atelectasis". Whole blood CRP of 67.5 mg/L can be applied as an early discriminating indicator to discriminate between these two subtypes.

Objective:To gain a deeper understanding of the comorbidity status of elderly patients with coronary heart disease and the effect of comorbidity on their hospitalization costs.Methods:Using the convenient sampling method, a total of 8 334 elderly hospitalized patients diagnosed with coronary heart disease in Beijing Hospital from January 2018 to December 2021 were selected as the research objects. General Inforamtion Questionnaire and Charson comorbidity index (CCI) were used to investigate the comorbidity of patients.Results:Among the 8 334 elderly patients with coronary heart disease included, 88.18% (7 349/8 334) had comorbidity, and there was a statistically significant difference in hospital costs among patients with different CCI scores ( P<0.01). Elderly patients with coronary heart disease with comorbidity had higher hospital costs. The results of the binomial logistic regression analysis showed that comorbidities increased the hospitalization costs of elderly coronary heart disease patients in both the unadjusted model and the gradually adjusted model for age, gender, occupation, education level, admission department, admission status, admission year, admission mode length of stay and disease classification ( P<0.05) . Conclusions:The comorbidity in elderly patients with coronary heart disease is serious, which is an important factor affecting hospitalization costs. In medical practice, it is necessary to strengthen the comprehensive management of elderly patients with coronary heart disease, pay attention to the influencing factors of hospitalization costs, optimize prevention and treatment strategies, control the occurrence and progression of comorbidities among patients, deepen the reform of medical insurance payment methods such as grouping payments based on disease diagnosis, so as to accurately reduce hospitalization costs and promote the sustainable and healthy development of the medical and health system.

The dual-core system is an innovative concept in the development of narrative therapy in China,that is,the client has the inner state of the original model and the developmental model at the same time.This paper constructs the concept of a dual-core system,which relocates the relationship between problems and resources,em-phasizes the experience of problems,and assists counselors in locating the"nearest development area"of clients.It makes the client's problems and healing both opposed and unified,forming a dynamic,binary self-identity system that ultimately empowers the client's life.

Objective To explore the risk factors of aspiration during hospitalization in patients with ischemic stroke (IS) and establish a predictive model. Methods Based on the case-control design, clinical materials of 316 IS patients treated in the Department of Neurology of Suzhou Ninth Hospital Affiliated to Soochow University from March 2022 to October 2023 were retrospectively collected. According to incidence of aspiration during hospitalization, the patients were divided into case group with 89 cases (aspiration occurred during hospitalization) and control group with 227 cases (no aspiration occurred during hospitalization). Univariate and multivariate Logistic regression analyses were performed in both groups to screen out the risk factors of aspiration during hospitalization in IS patients. R software was used to extract 70 % of the data from the two groups as the training set (establishing a Nomogram model), and the remaining 30 % data was used as test set. Value of predictive model was evaluated by area under the curve (AUC) of the receiver operating characteristic (ROC) curve, calibration curve, and decision curve. Results There were significant differences in the terms of age, the National Institutes of Health Stroke Scale (NIHSS) score, number of lesions, homocysteine (Hcy) level, spontaneous cough, and grading of Wada drinking water test between the case group and the control group (P < 0.05). Multivariate Logistic analysis showed that large age (OR=2.201, 95 %CI, 1.254 to 3.865), high NIHSS score (OR=4.816, 95 %CI, 1.652 to 14.041), multiple lesions (OR=2.649, 95 %CI, 1.249 to 5.613), high level of Hcy (OR=1.501, 95 %CI, 1.044 to 2.158), weakened or absent spontaneous cough (OR=3.384, 95 %CI, 1.639 to 6.987), and high grading of Wada drinking water test (OR=2.878, 95 %CI, 1.422 to 5.783) were the risk factors of aspiration during hospitalization in IS patients (P < 0.05). In the training set, the AUC of the Nomogram model for predicting aspiration during hospitalization in IS patients was 0.872 (95 %CI, 0.827 to 0.919), and was 0.859 (95 %CI, 0.807 to 0.904) in the test set. The calibration curve analysis showed that P value was 0.869 in the training set and 0.898 in the test set. The decision curve analysis for both the training set and test set showed that the Nomogram model was of good clinical applicability. Conclusion The risk of aspiration during hospitalization in IS patients is related to large age, high NIHSS score, multiple lesions, high level of Hcy, weakened or absent spontaneous cough, and high grading of Wada drinking water test. The Nomogram predictive model established on these factors can effectively evaluate the risk of aspiration during hospitalization in IS patients.

Objective:To explore any effect of on the limb and cardiopulmonary functioning of stroke survivors of combining new Bobath technique with cardiopulmonary rehabilitation.Methods:A total of 160 stroke survivors with limb disorders were randomly divided into an observation group and a control group, each of 80. Both groups were given routine rehabilitation and the new version of Bobath training, but the observation group was additionally provided with 12 weeks of cardiopulmonary rehabilitation. Before and after the treatment the limb functioning of both groups was evaluated along with their ability in the activities of daily living and the recovery of damaged nerve function, using the simplified Fugl-Meyer (FMA) motor function scoring, the modified Barthel index (MBI) and the Chinese stroke scale (CSS). Peak oxygen uptake (VO 2peak), peak metabolic equivalent (METpeak), peak heart rate (HRpeak) and anaerobic thresholds (ATs) were documented. Results:After the treatment the average FMA, MBI and CSS scores and cardiopulmonary indexes had improved significantly in both groups. All were then significantly better in the observation group than in the control group.Conclusions:Combining the new Bobath technique with cardiopulmonary rehabilitation can significantly improve the limb and cardiopulmonary functioning of stroke survivors, as well as their skill in the activities of daily living and the recovery of the damaged nerve functionality. This combination is therefore worthy of clinical promotion and application.

Background Steel workers are exposed to occupational hazardous factors such as dust, noise, and heat, and often work in shifts, making them prone to sleep disorders. Objective To explore potential influencing factors of sleep disorders among workers in a steel enterprise in Gansu Province, and provide a basis for reducing the risk of sleep disorders among them. Methods From January to March 2022, a self-made questionnaire combined with the Pittsburgh Sleep Quality Index (PSQI) were used to investigate the employees of a steel enterprise in Gansu Province. According to their PSQI scores, they were divided into a normal sleep group and a sleep disorder group. The general demographic variables of the two groups were balanced by 1∶1 propensity score matching (PSM). Multiple logistic regression was used to analyze the contributing factors of sleep disorders. Restricted cubic spline (RCS) model was used to analyze potential dose-response relationship between weekly working hours and sleep disorders. Results The prevalence of sleep disorders in the steel workers was 48.06% (6029/12544). After PSM, 5847 pairs were successfully matched, and the distributions of matched variables were well balanced between the two groups. The results of multiple logistic regression showed that hypertension (OR=1.39, 95%CI: 1.24, 1.56), diabetes mellitus (OR=1.34, 95%CI: 1.07, 1.66), three-shift system (OR=1.26, 95%CI: 1.12, 1.41), dust exposure (OR=1.14, 95%CI: 1.01, 1.29), noise exposure (OR=1.23, 95%CI: 1.09, 1.39), heat exposure (OR=1.16, 95%CI: 1.04, 1.29), and work injury (OR=1.22, 95%CI: 1.02, 1.46) increased the risk of sleep disorders. Compared with workers with < 10 years of service, those with 10-20 years (OR=1.31, 95%CI: 1.19, 1.44), 20-30 years (OR=1.34, 95%CI: 1.19, 1.52), and ≥30 years of service (OR=1.35, 95%CI: 1.19, 1.53) had a higher risk of sleep disorders. Compared with non-exercise workers, the risk of developing sleep disorders was lower in workers with occasional exercise (OR=0.61, 95%CI: 0.56, 0.66) and regular exercise (OR=0.55, 95%CI: 0.49, 0.62). The RCS model showed that the weekly working hours and sleep disorders in the steel workers showed a nonlinear dose-response relationship (P<0.05 for overall trend, P<0.05 for nonlinear test). The relationship between weekly working hours and sleep disorders showed a "U" shaped distribution, with a significant increase in the risk of sleep disorders when the weekly working hours exceeded 49 h. Conclusion The non-occupational influencing factors of sleep disorders of employees in the steel enterprise include hypertension, diabetes, physical exercise, and occupational influencing factors include length of service, weekly working hours, shifts, dust exposure, noise exposure, heat exposure, and work injuries. It is recommended to consider both occupational and non-occupational factors to formulate appropriate sleep disorder prevention and control measures for steel employees to reduce the risk of sleep disorders.

Objective:To explore the value of radiomics model based on intratumoral and peritumoral early dynamic contrast-enhanced (DCE) MRI for identifying benign and malignant in breast imaging reporting and data system (BI-RADS) 4 tumors.Methods:A total of 191 patients diagnosed with BI-RADS 4 breast tumors by breast MRI examination with clear pathological diagnosis from January 2016 to December 2020 in the First Affiliated Hospital of Bengbu Medical College were analyzed retrospectively, including 77 benign and 114 malignant cases, aged 23-68 (46±10) years. The one-slice image with the largest area of the lesion of the second stage DCE-MRI images was selected to outline the region of interest, and automatically conformal extrapolated by 5 mm to extract the intra-tumoral and peritumoral radiomics features. The included cases were randomly divided into training and testing cohorts in the ratio of 8∶2. The statistical and machine learning methods were used for feature dimensionality reduction and selection of optimal radiomics features, and logistic regression was used as the classifier to establish the intratumoral, peritumoral, and intratumoral combined with peritumoral radiomics models. The independent risk factors that could predict the benignity and malignancy of breast tumors were retained as clinical-radiological characteristics by univariate and multivariate logistic regression to establish a clinical-radiological model. Finally, the intratumoral and peritumoral radiomics features were combined with clinical-radiological features to develop a combined model of the three. The receiver operating curve was used to analyze the predictive performance of each model and calculate the area under the curve (AUC),the AUC was compared by DeLong test. The stability of the three-component combined diagnostic model was tested by 10-fold cross-validation, and the model was visualized by plotting nomogram and calibration curves.Results:In the training cohort, the AUC of the three-component combined model for identifying benign and malignant BI-RADS 4 breast tumors was significantly higher than that of the intratumoral radiomics model ( Z=3.38, P<0.001), the peritumoral radiomics model ( Z=4.01, P<0.001), the intratumoral combined with peritumoral radiomics model ( Z=3.11, P=0.002), and the clinical-radiological model ( Z=3.24, P=0.001). And the AUC, sensitivity, specificity, accuracy, and F1-score of the three-component combined model were 0.932, 91.2%, 86.9%, 87.0% and 0.89, respectively. In the testing cohort, the three-component combined model also had the highest AUC value (0.875), and diagnostic sensitivity, specificity, accuracy and malignancy F1-score were 95.7%, 62.5%, 76.9%, and 0.89, respectively. The AUC calculated by 10-fold cross-validation was 0.90 (0.85-0.92), and the predicted curve of the three-component combined model in the calibration curve was in good agreement with the ideal curve. Conclusion:The three-component combined diagnostic model based on the intratumoral and peritumoral radiomics features and clinical-radiological features of early DCE-MRI has good performance and stability for identifying the benign and malignant in BI-RADS 4 breast tumors, and it can provide guidance for clinical decision non-invasively.

Chromosome microarray analysis (CMA) has become the first-tier testing for chromosomal abnormalities and copy number variations (CNV). This review described the clinical validation of CMA, the development and updating of technical standards and guidelines and their diagnostic impacts. The main focuses were on the development and updating of expert consensus, practice resources, and a series of technical standards and guidelines through systematic review of case series with CMA application in the literature. Expert consensus and practice resource supported the use of CMA as the first-tier testing for detecting chromosomal abnormalities and CNV in developmental and intellectual disabilities, multiple congenital anomalies and autism. The standards and guidelines have been applied to pre- and postnatal testing for constitutional CNV and tumor testing for acquired CNV. CMA has significantly improved the diagnostic yields but still needs to overcome its technical limitations and face challenges of new technologies. Guiding and governing CMA through expert consensus, practice resource, standards and guidelines in the United States has provided effective and safe diagnostic services to patients and their families, reliable diagnosis on related genetic diseases for clinical database and basic research, and references for clinical translation of new technologies.
Child ; Chromosome Aberrations ; Chromosomes ; DNA Copy Number Variations ; Developmental Disabilities/genetics* ; Humans ; Intellectual Disability/genetics* ; Microarray Analysis ; United States