Objective:To summarize domestic and foreign transitional readiness assessment tools for adolescents with chronic diseases and analyze the current status of their application in the clinic, so as to provide references for healthcare professionals to select appropriate tools.Methods:China National Knowledge Infrastructure, Wanfang Data, VIP and China Biomedical Literature Database, PubMed, Web of Science, Embase, Medline, CINAHL, Cochrane Library and scholar.google.com were searched for literature related to the assessment tools of transition readiness in adolescents with chronic illnesses from inception to March 29, 2024. Two researchers independently screened the literature and extracted the data.Results:A total of 491 articles were initially retrieved and 24 were included, involving a total of 8 transitional readiness assessment tools for adolescents with chronic diseases, including the Transition Readiness Assessment questionnaire, the University of North Carolina TRxANSITION Scale, Am I ON TRAC for adult care? Questionnaire, Transition Questionnaire, Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire, Good 2 Go Questionnaire, State Assessment Questionnaire for Transition, and Self-assessment Scale of Transition Readiness for Adolescents. The Transition Readiness Assessment questionnaire and Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire have good reliability and validity, comprehensive evaluation, wide applicability, simple use, and are suitable for clinical use.Conclusions:The quality of existing tools for assessing transitional readiness of adolescents with chronic diseases is mixed. The Transition Readiness Assessment questionnaire and Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire are more appropriate options in the clinic, but they still need to be improved. Future studies need to continue to introduce tools to assess transitional readiness for chronic diseases in adolescents and develop localized assessment tools.

Objective To systematically evaluate the assessment tools of adolescent chronic disease patients'transition readiness to adults at home and abroad,and to provide references for medical personnel to choose appropriate tools.Methods CNKI,Wan Fang Data,CBM,PubMed,Web of Science,Embase and Cochrane were searched for literature related to the assessment tools of transition readiness in adolescents with chronic illnesses to adulthood from inception to August,2024.Literature screening and data extraction of the tools were extracted independently by 2 researchers.At the same time,the criteria for the selection of health measurement tools based on consensus(COSMIN)systematic evaluation guidelines were used to evaluate the inclusion assessment tools,and recommendations were finally formed.Results A total of 29 articles were included,involving 9 universal and 5 specific assessment tools of adolescent chronic illnesses transition readiness.The Transition Readiness Assessment Questionnaire has satisfactory content validity and internal consistency,and it is recommended as Grade A.The Grade C included the Am I ON TRAC for adult care?Questionnaire and the State Assessment Questionnaire for Transition,Epilepsy-specific Transition Readiness Assessment Questionnaire and the Readiness for Adult Care in Rheumatology,while the others are recommended as Grade B.Conclusion There are a variety of tools to assess the transition readiness of adolescents with chronic diseases to adults,and there are few tools suitable for adolescents with chronic diseases in China,with few specific tools.After comprehensive consideration,the Transition Readiness Assessment Questionnaire can be recommended temporarily.

Objective:To summarize domestic and foreign transitional readiness assessment tools for adolescents with chronic diseases and analyze the current status of their application in the clinic, so as to provide references for healthcare professionals to select appropriate tools.Methods:China National Knowledge Infrastructure, Wanfang Data, VIP and China Biomedical Literature Database, PubMed, Web of Science, Embase, Medline, CINAHL, Cochrane Library and scholar.google.com were searched for literature related to the assessment tools of transition readiness in adolescents with chronic illnesses from inception to March 29, 2024. Two researchers independently screened the literature and extracted the data.Results:A total of 491 articles were initially retrieved and 24 were included, involving a total of 8 transitional readiness assessment tools for adolescents with chronic diseases, including the Transition Readiness Assessment questionnaire, the University of North Carolina TRxANSITION Scale, Am I ON TRAC for adult care? Questionnaire, Transition Questionnaire, Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire, Good 2 Go Questionnaire, State Assessment Questionnaire for Transition, and Self-assessment Scale of Transition Readiness for Adolescents. The Transition Readiness Assessment questionnaire and Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire have good reliability and validity, comprehensive evaluation, wide applicability, simple use, and are suitable for clinical use.Conclusions:The quality of existing tools for assessing transitional readiness of adolescents with chronic diseases is mixed. The Transition Readiness Assessment questionnaire and Self-Management and Transition to Adulthood with Rx=Treatment Questionnaire are more appropriate options in the clinic, but they still need to be improved. Future studies need to continue to introduce tools to assess transitional readiness for chronic diseases in adolescents and develop localized assessment tools.

Objective To investigate the pathogenesis of high-altitude cerebral edema(HACE)and develop new therapeutic strategies.Methods Male Sprague-Dawley(SD)rats of 6 weeks old were selected and placed in a hypobaric chamber.The rats were exposed to the high-altitude environment of 7000 m above sea level for 3 days for HACE modeling.Whether the HACE model was successfully established in the rats was evaluated by measuring brain water content,the degree of disruption to the blood-brain barrier(BBB),and brain tissue Nissl staining.The experimental animals were divided into four groups,with 28 rats in each group.The blank control group was exposed to a normobaric and normoxic environment simulating the conditions at 500 m above sea level for 3 d.The other groups,including a model group(the HACE group),a bumetanide group(the positive control group),and a XH-6003 treatment group,were placed at an altitude of 7 000 m above sea level and were injected with normal saline,bumetanide,and XH-6003,a new type of Na-K-2C1 cotransporter 1(NKCC1)inhibitor,via the tail vein,respectively,twice daily for 3 d.The experimental animals were taken out of the hypobaric chamber for testing after 3 d.The primary outcome measures included brain water content,BBB permeability,changes in brain tissue morphology,and the expression levels of aquaporin-4(AQP4)and NKCC1.The secondary outcome measures included behavioral changes,apoptosis,and oxidative stress markers.Results The HACE rat model was successfully established.The model group exhibited increased brain water content(P＜0.0001),BBB disruption(P＜0.0001),impairment in learning skills and memory(P＜0.001),and anxiety/depression-like behaviors(P＜0.01).qPCR results showed significantly increased expression of NKCC1 and AQP4 in the brain tissue of the model group(P＜0.01).Pathology examination revealed neuronal and glial cell damage in the hippocampus of the model group(P＜0.01).Treatment with XH-6003,the NKCC1 inhibitor,reversed brain water content,BBB disruption,and neuronal and glial cell damage to a certain degree(P＜0.05),decreased the expression of NKCC1 and AQP4 in the brain tissue(P＜0.01),and inhibited apoptosis-related proteins.Among the oxidative stress indices,only glutathione(GSH)showed improvement(P＜0.001).Rats treated with XH-6003 showed functional improvement only in the time spent exploring novel objects,while other behavioral outcomes remained unchanged.Conclusion HACE is associated with the activation of the NKCC1/AQP4 pathway.Inhibition of this pathway alleviates brain edema,BBB disruption,and neuronal and glial cell damage.These findings suggest that XH-6003 holds potential as a therapeutic strategy for HACE at the cellular and molecular levels,but its effects in improving HACE-related behavioral disorders warrant further investigation.

Objective:To address large-scale nonlinear programming challenges in optimizing prognosis-guided intensity-modulated radiation therapy (IMRT) plans, to propose gradient-enhanced random contrastive interaction particle swarm optimization (GradRCIPSO). This gradient-enhanced swarm intelligence algorithm aims to enable global optimization of prognostic treatment plans in clinically efficient scenarios.Methods:The core concept of GradRCIPSO lied in achieving rapid global convergence by allowing particles to learn both swarm interaction and gradient information. Specifically, the interaction information was obtained from elite individuals in the swarm, enabling the particles to efficiently search the entire solution space, whereas the gradient information represents the direction of the steepest descent, enabling the particles to quickly explore the current neighborhood. To assess the effectiveness of the methodology, the IMRT plans for 10 cases of non-small cell lung cancer (NSCLC) were selected in this study. They were compared with the GradRCIPSO-generated prognosis-guided IMRT plans. Moreover, the interior-point method, sequential quadratic programming, active set, gradient descent method, and random contrastive interaction particle swarm optimization (RCIPSO) were employed as optimization engines and compared with GradRCIPSO in terms of optimization efficiency and accuracy.Results:GradRCIPSO successfully generated clinically viable prognosis-guided IMRT plans with comparable dosimetric statistics to original plans, while significantly reducing predicted total radiotherapy risk from 1.22(0.84, 1.51) to 0.93(0.80, 1.29) ( z=2.81, P<0.01). It demonstrated superior accuracy over the above four gradient-based method ( z=2.80-2.81, P<0.01) and achieved threefold acceleration versus RCIPSO while maintaining equivalent solution quality( P>0.05). Conclusions:The proposed GradRCIPSO demonstrates high feasibility and performance in optimizing prognosis-guided IMRT plans, laying the technical foundation for the broad clinical application of prognosis-guided IMRT plans for lung cancer.

Objective To systematically evaluate the assessment tools of adolescent chronic disease patients'transition readiness to adults at home and abroad,and to provide references for medical personnel to choose appropriate tools.Methods CNKI,Wan Fang Data,CBM,PubMed,Web of Science,Embase and Cochrane were searched for literature related to the assessment tools of transition readiness in adolescents with chronic illnesses to adulthood from inception to August,2024.Literature screening and data extraction of the tools were extracted independently by 2 researchers.At the same time,the criteria for the selection of health measurement tools based on consensus(COSMIN)systematic evaluation guidelines were used to evaluate the inclusion assessment tools,and recommendations were finally formed.Results A total of 29 articles were included,involving 9 universal and 5 specific assessment tools of adolescent chronic illnesses transition readiness.The Transition Readiness Assessment Questionnaire has satisfactory content validity and internal consistency,and it is recommended as Grade A.The Grade C included the Am I ON TRAC for adult care?Questionnaire and the State Assessment Questionnaire for Transition,Epilepsy-specific Transition Readiness Assessment Questionnaire and the Readiness for Adult Care in Rheumatology,while the others are recommended as Grade B.Conclusion There are a variety of tools to assess the transition readiness of adolescents with chronic diseases to adults,and there are few tools suitable for adolescents with chronic diseases in China,with few specific tools.After comprehensive consideration,the Transition Readiness Assessment Questionnaire can be recommended temporarily.

Objective:To address large-scale nonlinear programming challenges in optimizing prognosis-guided intensity-modulated radiation therapy (IMRT) plans, to propose gradient-enhanced random contrastive interaction particle swarm optimization (GradRCIPSO). This gradient-enhanced swarm intelligence algorithm aims to enable global optimization of prognostic treatment plans in clinically efficient scenarios.Methods:The core concept of GradRCIPSO lied in achieving rapid global convergence by allowing particles to learn both swarm interaction and gradient information. Specifically, the interaction information was obtained from elite individuals in the swarm, enabling the particles to efficiently search the entire solution space, whereas the gradient information represents the direction of the steepest descent, enabling the particles to quickly explore the current neighborhood. To assess the effectiveness of the methodology, the IMRT plans for 10 cases of non-small cell lung cancer (NSCLC) were selected in this study. They were compared with the GradRCIPSO-generated prognosis-guided IMRT plans. Moreover, the interior-point method, sequential quadratic programming, active set, gradient descent method, and random contrastive interaction particle swarm optimization (RCIPSO) were employed as optimization engines and compared with GradRCIPSO in terms of optimization efficiency and accuracy.Results:GradRCIPSO successfully generated clinically viable prognosis-guided IMRT plans with comparable dosimetric statistics to original plans, while significantly reducing predicted total radiotherapy risk from 1.22(0.84, 1.51) to 0.93(0.80, 1.29) ( z=2.81, P<0.01). It demonstrated superior accuracy over the above four gradient-based method ( z=2.80-2.81, P<0.01) and achieved threefold acceleration versus RCIPSO while maintaining equivalent solution quality( P>0.05). Conclusions:The proposed GradRCIPSO demonstrates high feasibility and performance in optimizing prognosis-guided IMRT plans, laying the technical foundation for the broad clinical application of prognosis-guided IMRT plans for lung cancer.

OBJECTIVES: To propose a new method for optimizing radiotherapy planning for lung cancer by incorporating prognostic models that take into account individual patient information and assess the feasibility of treatment planning optimization directly guided by minimizing the predicted prognostic risk. METHODS: A mixed fluence map optimization objective was constructed, incorporating the outcome-based objective and the physical dose constraints. The outcome-based objective function was constructed as an equally weighted summation of prognostic prediction models for local control failure, radiation-induced cardiac toxicity, and radiation pneumonitis considering clinical risk factors. These models were derived using Cox regression analysis or Logistic regression. The primary goal was to minimize the outcome-based objective with the physical dose constraints recommended by the clinical guidelines. The efficacy of the proposed method for optimizing treatment plans was tested in 15 cases of non-small cell lung cancer in comparison with the conventional dose-based optimization method (clinical plan), and the dosimetric indicators and predicted prognostic outcomes were compared between different plans. RESULTS: In terms of the dosemetric indicators, D_95% of the planning target volume obtained using the proposed method was basically consistent with that of the clinical plan (100.33% vs 102.57%, P=0.056), and the average dose of the heart and lungs was significantly decreased from 9.83 Gy and 9.50 Gy to 7.02 Gy (t=4.537, P<0.05) and 8.40 Gy (t=4.104, P<0.05), respectively. The predicted probability of local control failure was similar between the proposed plan and the clinical plan (60.05% vs 59.66%), while the probability of radiation-induced cardiac toxicity was reduced by 1.41% in the proposed plan. CONCLUSIONS The proposed optimization method based on a mixed objective function of outcome prediction and physical dose provides effective protection against normal tissue exposure to improve the outcomes of lung cancer patients following radiotherapy.
Humans ; Lung Neoplasms/radiotherapy* ; Radiotherapy Planning, Computer-Assisted/methods* ; Prognosis ; Radiotherapy, Intensity-Modulated/methods* ; Carcinoma, Non-Small-Cell Lung/radiotherapy* ; Radiotherapy Dosage ; Female ; Male ; Middle Aged

Objective:To know the current situation of kinesiophobia in patients after cardiac surgery under cardiopulmonary bypass, and to clarify its influencing factors, so as to provide reference for developing intervention strategies to improve kinesiophobia level.Methods:This was a cross-sectional study. From February 2022 to September 2022, the patients after cardiac valve surgery under cardiopulmonary bypass in the Second Affiliated Hospital Zhejiang University School of Medicine were investigated by convenience sampling methods. The survey was conducted using the General Information Questionnaire, The Tampa Scale for Kinesiophobia Heart, Exercise Self-Efficacy Scale, Pain Catastrophizing Scale, and Adaptation, Partnership, Growth, Affection and Resolve(APGAR) as research tools, and the influencing factors were analyzed using univariate and binary Logistic regression analysis.Results:A total of 219 patients were included, of which 97 patients (44.3%) had kinesiophobia. The results of binary Logistic regression analysis showed that monthly family income level, first time out of bed after operation, fear of falling, the family APGAR, and pain catastrophizing were significant influencing factors of kinesiophobia in patients after heart valve surgery under cardiopulmonary bypass (all P<0.05). Conclusions:The prevalence of kinesiophobia is high among patients after heart valve surgery under cardiopulmonary bypass. Clinicians should pay attention to patients with low monthly family income level, late first time out of bed after surgery, and fear of falling, as well as strengthen communication with patients and families, focus on the management of acute postoperative pain. In order to reduce or avoid the occurrence of kinesiophobia and enable patients to benefit from early ambulation.

Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.