Objective To explore the correction of beam trajectories in the presence of fringe fields in magnetic resonance imaging-guided proton therapy and dose changes in the body before and after correction.Methods The open-source treatment planning software matRad was used to design plans for brain tumor,liver tumor,and prostate cancer cases,and simulation studies were conducted in the Monte Carlo simulation toolkit TOPAS to calculate proton dose distribution.A proton beam trajectory correction model suitable for three-dimensional magnetic fields was established,and a beam trajectory correction algorithm was developed.The deflection of the proton Bragg peak in the presence of fringe fields was analyzed.Furthermore,3 treatment plans were simulated and dose correction was carried out when the fringe field existed.Gamma analysis method is used to evaluate the correction effect;and the dose changes in the target area and organs-at-risk after correction were quantitatively analyzed.Results The perturbation of the magnetic field would cause lateral deflection of the proton beam trajectory,and the presence of fringe fields would significantly increase this effect,which increased with the increasing of beam energy.When the fringe field existed,the treatment plans for brain tumor,liver tumor,and prostate cancer were corrected.Under the 3%/3 mm criterion,the gamma passing rates for target area were 94.844%,92.054%,and 97.863%,respectively,and after correction,the total dose in the body was increased by 2.8%,2.5%,and 1.5%,respectively.The increased dose was mainly contributed by incident protons.Conclusion In magnetic resonance imaging-guided proton therapy,the effects of fringe fields should be considered.The increase in incident proton beam energy after correction will lead to an increase in the total dose in the body.Since the beam trajectory still has curvature,the dose changes differently in different organs-at-risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Abstract: Objective To investigate the efficacy of capreomycin adjuvant therapy for multidrug-resistant pulmonary tuberculosis (MDR-TB) and its effect on quality of life and immune function. Methods Eighty-eight elderly pulmonary tuberculosis patients admitted to Affiliated Hospital of Hebei University from October 2019 to October 2020 were selected and divided into two groups according to the random number table method. The control group (n=44) used 4-6Am-Mfx（Lfx）-Pto-Cfz-Z-Hhigh-dose-E/5 Mfx（Lfx）-Cfz-Z-E, the research group (n=44) used capreomycin on the basis of the control group. The 6-Minute Walk Test (6MWT) measured value/predicted value and quality of life [36-Item Short Form Health Survey Questionnaire (SF-36)] scores, safety evaluation results, chest CT cavity and lesion absorption rate and sputum culture turned negative were compared between the two groups, and the serum procalcitonin (PCT) expression levels and immune function were detected before and after treatment. Results The 6MWT measured value/predicted value of the research group and control group before the treatment were (0.48±0.11) and (0.64±0.13), which were significantly higher than corresponding (0.51±0.12) and (0.58±0.14) after treatment (t=6.23, 2.520, P<0.05), the measured/expected value of 6MWT increased in both groups after treatment. Compared with the same group before treatment, the SF-36 scores for each dimension increased in both groups after treatment (P<0.01). The expression levels of serum PCT in the research group and control group before the treatment were (0.37±0.09) ng/mL and (0.12±0.03) ng/mL versus (0.36±0.11) ng/mL and (0.21±0.06) ng/mL after treatment (t=17.480, 7.940, P<0.01). Compared with the same group before treatment, serum PCT expression levels decreased in both groups after treatment. Compared with the same group before treatment, CD3+, CD4+ and CD4+/CD8+ were elevated in both groups after treatment (P<0.05 or P<0.01); after treatment, CD3+, CD4+, and CD4+/CD8+ were significantly higher in research group compared to the control group (t=4.21, 8.02, 2.04, P<0.05). The absorption rate of chest CT cavity and lesions and negative rate of sputum culture in the research group were 88.64% (39/44) and 81.82% (36/44), which were significantly higher than corresponding 63.64% (28/44) and 61.36% (27/44) in the control group (P<0.05). Conclusions　Capreomycin can improve the quality of life of MDR-TB patients, extend the 6-minute walking distance, and regulate serum PCT expression levels and immune function, to promote the absorption of chest CT cavity and lesions, and sputum culture to turn negative, and the security is acceptable.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

Objective:To explore the relation of plasma Elabela with 3-month prognoses in large vessel occlusion-acute ischemic stroke (LVO-AIS) patients accepted endovascular thrombectomy (EVT).Methods:A prospective study was performed; 94 LVO-AIS patients aceepted EVT in Department of Neurology, Anhui Provincal Hospital, Anhui Medical University from August 2020 to August 2022 were selected. Plasma Elabela was detected before EVT, and 24 and 72 h after EVT. Modified Rankin scale (mRS) was used to evaluate the prognoses of the patients 3 months after EVT; differences in clinical data and plasma Elabela level between the good prognosis group and poor prognosis group were compared. Independent influencing factors for prognoses of LVO-AIS patients 3 months after EVT were analyzed by multivariate Logistic regression. Receiver operating characteristic (ROC) curve was used to analyze the efficacy of Elabela in predicting prognoses of patients with LVO-AIS 3 months after EVT.Results:Compared with the poor prognosis group, the good prognosis group had significantly lower percentages of patients with stroke history and diabetes, and lower NIHSS scores at admission ( P<0.05). Elabela level in the good prognosis group was significantly higher than that in the poor prognosis group 72 h after EVT ( P<0.05). Multivariate Logistic regression analysis showed that stroke history ( OR=0.148, P=0.037, 95% CI: 0.025-0.889), diabetes mellitus ( OR=0.148, P=0.037, 95% CI: 0.025-0.889), hypertension history ( OR=3.488, P=0.024, 95% CI: 1.177-10.339), and Elabela level 72 h after EVT ( OR=1.064, P=0.005, 95% CI: 1.019-1.111) were independent influencing factors for prognoses of LVO-AIS patients 3 months after EVT. ROC curve showed that area under ROC curve of plasma Elabela level 72 h after EVT in predicting prognosies of LVO-AIS patients 3 months after surgery was 0.718 ( P<0.001, 95% CI: 0.614-0.822). Conclusion:Plasma Elabela level 72 h after EVT may be a potential prognostic biomarker for LVO-AIS patients after EVT.

Objective: To evaluate the efficacy of surgical treatment of papillary thyroid carcinoma (PTC) involving larynx and trachea. Methods: A total of 1 436 cases of thyroid malignant tumors were admitted to the Department of Otolaryngology, Qilu Hospital of Shandong University from 2004 to 2019, including 110 cases of PTC involving larynx and trachea, and of which 105 cases with complete follow-up data were retrospectively analyzed. There were 42 males and 63 females, with a male/female ratio of 1∶1.5, aged from 28 to 81 years. All lesions involved trachea, including 11 cases involving both trachea and larynx. Of those 83 cases underwent laryngeal and airway wall tumor excision, and 22 cases underwent radical tumor excision plus laryngeal and trachea repair. Extubation rate was analyzed and the postoperative survival curve of patients was analyzed by Kaplan-Meier method. Results: Among 105 cases, 16 cases underwent tracheotomy and 12 cases were successfully extubated. The overall 3- 5- and 10-year survival rates were 100.0%, 86.4% and 72.5%, and the disease-free survival rates were 93.1%, 81.6% and 57.7%, respectively. There was significant difference in survival curve between the two groups (χ²=4.21, P=0.040). The 5-year and 10-year survival rates were 94.6% and 77.3% in laryngeal and tracheal tumor exclusion group, and 85.7% and 51.4% in the radical tumor resection group. There was no significant difference in the survival curves between the two groups (χ²=3.50, P=0.061). Conclusion: PTC patients with laryngeal and tracheal involvement can achieve long survival and good quality of life through reasonable surgical treatment.
Female ; Humans ; Larynx/surgery* ; Male ; Neoplasm Invasiveness ; Quality of Life ; Retrospective Studies ; Thyroid Cancer, Papillary/surgery* ; Thyroid Neoplasms/pathology* ; Trachea/surgery*

OBJECTIVE: To analyze the experience of diagnosis and treatment of a case of brodifacoum poisoning. METHODS: The clinical data of a case of unexplained brodifacoum poisoning was retrospectively analyzed. RESULTS: The patient went to the doctor for unexplained bleeding. The bleeding symptoms included nasal o blood ozing, blood in saliva and skin ecchymosis. Blood anticoagulative rodenticide test showed positive with brodifacoum. The results of coagulative function tests showed that the indexes of partial prothrombin time, prothrombin time and fibrinogen were increased. The patient was diagnosed as brodifacoum poisoning based on the clinical symptoms and laboratory test results. The combined use of 40 mg/d of vitamin K_1 and frozen plasma improved the clotting time and quickly alleviated the bleeding symptoms of the patient. However, the patient′s bleeding symptoms recurred when vitamin K_1 was discontinued. The patient was hospitalized for 62 days and then discharged. With follow-up one month after discharge, the patient showed no bleeding symptoms, but brodifacoum could still be detected in the blood. CONCLUSION: The symptoms of brodifacoum poisoning may relapse and the treatment course is long. Vitamin K_1 could be used as the first-choice medicine for the treatment of brodifacoum poisoning, but its usage needs to be optimized.

To analyze the clinincal application characteristics of Xiyanping Injection in real world. The data of the patients came from the hospital information systerm(HIS) of 29 tertiary hospitals in China from 2006 to 2016. It included three parts about basic information, Western medicine diagnosis information, and doctor advice information. The exploration was conducted for the characteristics of the patients and disease distribution as well as the therapeutic regimen. Apriori algorithm was adopted to establish the models, and Clementing 12.0 was used for a correlation analysis of the comprehensive therapeutic regimen of Xiyanping Injection. There were 194 873 cases in the study. The male to female ratio was 1.44∶1. The median age was 4 years old. The median daily dosage was 200 mg. 46.68% of the patients were administered with 250-500 mg, and 33.07% were 50-100 mg one day. 47.08% of the patients were administered for 4-7 d, and 32.65% of the patients were 1-3 d. In the doctor advice information, the most frequently types of Western medicine, traditional Chinese medicine were mucilagin, heat-clearing agent. Second generation cephalosporins, third generation cephalosporins, compound penicillin were the most common types of antibiotic. Interferon, nucleoside and nucleotide, human immunoglobulin were the most common types of antiviral drug. The mining association rules results were analyzed, finding the application of Xiyanping Injection in severe infectious diseases. To improve respiratory symptoms, Xiyanping Injection treaments were Budesonide + Ipratropium Bromide + Ambroxol. To severe pulmonary infection, the treaments were Dopamine + Ambroxine. To severe hand, foot and mouth disease, the treatments were Namefen + Mannitol. To pulmonary heart failure, the treatments were Dobutamine + Heparin. Based on the results of the real world HIS, we could provide clinical application the idea, and a reference for further excavation of the applicable diseases of Xiyanping Injection.
Child, Preschool ; China ; Drugs, Chinese Herbal ; therapeutic use ; Female ; Humans ; Injections ; Male ; Medicine, Chinese Traditional ; Respiratory Tract Infections ; drug therapy

Objective Constructing physiological-psycho-social three dimensional aging index system, and scale to provide a basis for evaluating the effects of human aging and anti-aging measures. Methods Evaluation, modification and determination of the second and third level indexed by Delphi and principal component analysis and other methods. The weight of each index was weighted by the analytic hierarchy process, and the reliability and validity were calculated on the basis of the preliminary scale. A large sample of empirical studied to determine the aging of different age groups standardized score distribution table. The best model for judging functional age was sought, based on a variety of biostatistical models. Results The aging scale was constructed by three levels, the first level included 3 indicators, the second level had 10 indicators, the third level included 51 indicators, and adopted by expert certification the national society. 3 184 valid questionnaires were obtained through epidemiological investigation, the average total score of aging was (46.93±11.07) points, and the scores of aging were positively correlated with age(r=0.785, P<0.001). The average scores of aging in each dimension were different and the difference was statistically significant (all P<0.001), and each dimension had significant difference with age. The growth model (R2=0.635) was selected, the curve of the relationship between the score of aging and age was fitted. Conclusions The three-dimensional human aging scale was scientific, feasible, and has good reliability and validity. The empirical results show that the comprehensive score of aging increase with age, and show certain characteristics and laws on the curve.