In recent years,the Ross procedure has been increasingly applied in the treatment of aortic valve disease in children and young patients.However,right ventricular outflow tract(RVOT)reconstruction in this procedure often relies on allogeneic or artificial materials,which may lead to complications such as calcification and valve dysfunction.This article reports a case of protective Ross procedure using completely autologous tissue to construct a right ventricular-pulmonary artery(RV-PA)conduit.The patient was an 11-year-old male who presented with severe aortic stenosis combined with regurgitation.During the operation,his dilated ascending aortic wall and fresh pericardium were used to construct an autologous valved conduit for RV-PA reconstruction.This innovative technique achieves RV-PA reconstruction without allogeneic tissue,provides a new technical approach for the Ross procedure.Short-term results are satisfactory and the medium-and long-term outcomes require further follow-up verification.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

The observation of eye expression is an important aspect of traditional Chinese medicine diagnosis.Traditional Chinese medicine proposes the original proposition that"the eyes are the messenger of the heart",suggesting that eye expression reflects the external manifestation of mental consciousness and cognitive activities.Research has shown that eye expression can directly reflect brain function and cognitive abilities,serving as a biological marker for pathological changes in brain structure and playing an important role in early diagnosis of mental disorders.In recent years,scholars have paid increasing attention to eye tracking technology as an objective tool for measuring eye expression.This paper outlines the theoretical basis of using traditional Chinese medicine's observation of eye expression for diagnosing mental disorders,and analyzes the current application status of eye tracking technology in diagnosing conditions such as depression,schizophrenia,and autism spectrum disorder.It is hoped that this review will provide insights for future research on applying objective methods to traditional Chinese medicine diagnosis through observing eye expressions.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Objective:To explore baseline clinical and imaging characteristics of children with neonatal arterial ischaemic stroke based on their long-term motor function prognoses.Methods:A retrospective cohort study was conducted. Clinical data, including magnetic resonance imaging (MRI) and electroencephalogram (EEG) findings, were collected from 31 neonates diagnosed with ischemic stroke admitted to the Department of Neonataology, Maternal and Child Health Hospital of Hubei Province between January 2015 and December 2019. Unified follow-up was conducted between May and July 2024. Long-term motor function outcomes were assessed using the modified Rankin scale(mRS) and categorized into two groups: the good motor function group (mRS score 0-1) and the motor impairment group (mRS score≥2).Baseline clinical and imaging data were summarized for all children, and differences between the two groups were analyzed using the Mann-Whitney U test and Fisher′s exact test. Results:A total of 31 neonates (21 males, 10 females) with an admission age of 1-19 days, all diagnosed within 28 days of birth, were included. At follow-up, 4-8 years after disease onset, 26 neonates (84%) showed good motor function, while 5 (16%) had motor impairments. Compared to the good motor function group, the motor impairment group had higher proportions of females (4/5 vs. 23% (6/26)), main middle cerebral artery (MCA) infarction (4/5 vs. 19% (5/26)), basal ganglia involvement (4/5 vs. 27% (7/26)), corticospinal tract involvement (posterior limb of internal capsule (PLIC) 5/5 vs. 38% (10/26) and cerebral peduncles 5/5 vs. 31% (8/26)) shown by MRI images, and meconium-stained amniotic fluid (4/5 vs. 15% (4/26))(all P<0.05).No significant differences were observed in gestational age, birth weight, abnormalities in muscle tone or primitive reflexes at admission or discharge, or abnormal EEG findings (all P>0.05). Conclusions:Neonatal arterial ischemic stroke commonly manifests as seizures, which are generally controllable, with a relatively stable clinical course and a low incidence of long-term motor impairment. Children with long-term motor impairments are more likely to have main MCA infarction, basal ganglia and corticospinal tract involvement (PLIC and cerebral peduncles), as well as meconium-stained amniotic fluid. This condition is also more commonly observed in females.

In recent years,the Ross procedure has been increasingly applied in the treatment of aortic valve disease in children and young patients.However,right ventricular outflow tract(RVOT)reconstruction in this procedure often relies on allogeneic or artificial materials,which may lead to complications such as calcification and valve dysfunction.This article reports a case of protective Ross procedure using completely autologous tissue to construct a right ventricular-pulmonary artery(RV-PA)conduit.The patient was an 11-year-old male who presented with severe aortic stenosis combined with regurgitation.During the operation,his dilated ascending aortic wall and fresh pericardium were used to construct an autologous valved conduit for RV-PA reconstruction.This innovative technique achieves RV-PA reconstruction without allogeneic tissue,provides a new technical approach for the Ross procedure.Short-term results are satisfactory and the medium-and long-term outcomes require further follow-up verification.

The observation of eye expression is an important aspect of traditional Chinese medicine diagnosis.Traditional Chinese medicine proposes the original proposition that"the eyes are the messenger of the heart",suggesting that eye expression reflects the external manifestation of mental consciousness and cognitive activities.Research has shown that eye expression can directly reflect brain function and cognitive abilities,serving as a biological marker for pathological changes in brain structure and playing an important role in early diagnosis of mental disorders.In recent years,scholars have paid increasing attention to eye tracking technology as an objective tool for measuring eye expression.This paper outlines the theoretical basis of using traditional Chinese medicine's observation of eye expression for diagnosing mental disorders,and analyzes the current application status of eye tracking technology in diagnosing conditions such as depression,schizophrenia,and autism spectrum disorder.It is hoped that this review will provide insights for future research on applying objective methods to traditional Chinese medicine diagnosis through observing eye expressions.

Objective:To explore baseline clinical and imaging characteristics of children with neonatal arterial ischaemic stroke based on their long-term motor function prognoses.Methods:A retrospective cohort study was conducted. Clinical data, including magnetic resonance imaging (MRI) and electroencephalogram (EEG) findings, were collected from 31 neonates diagnosed with ischemic stroke admitted to the Department of Neonataology, Maternal and Child Health Hospital of Hubei Province between January 2015 and December 2019. Unified follow-up was conducted between May and July 2024. Long-term motor function outcomes were assessed using the modified Rankin scale(mRS) and categorized into two groups: the good motor function group (mRS score 0-1) and the motor impairment group (mRS score≥2).Baseline clinical and imaging data were summarized for all children, and differences between the two groups were analyzed using the Mann-Whitney U test and Fisher′s exact test. Results:A total of 31 neonates (21 males, 10 females) with an admission age of 1-19 days, all diagnosed within 28 days of birth, were included. At follow-up, 4-8 years after disease onset, 26 neonates (84%) showed good motor function, while 5 (16%) had motor impairments. Compared to the good motor function group, the motor impairment group had higher proportions of females (4/5 vs. 23% (6/26)), main middle cerebral artery (MCA) infarction (4/5 vs. 19% (5/26)), basal ganglia involvement (4/5 vs. 27% (7/26)), corticospinal tract involvement (posterior limb of internal capsule (PLIC) 5/5 vs. 38% (10/26) and cerebral peduncles 5/5 vs. 31% (8/26)) shown by MRI images, and meconium-stained amniotic fluid (4/5 vs. 15% (4/26))(all P<0.05).No significant differences were observed in gestational age, birth weight, abnormalities in muscle tone or primitive reflexes at admission or discharge, or abnormal EEG findings (all P>0.05). Conclusions:Neonatal arterial ischemic stroke commonly manifests as seizures, which are generally controllable, with a relatively stable clinical course and a low incidence of long-term motor impairment. Children with long-term motor impairments are more likely to have main MCA infarction, basal ganglia and corticospinal tract involvement (PLIC and cerebral peduncles), as well as meconium-stained amniotic fluid. This condition is also more commonly observed in females.

Objective:To explore the microbiological and disease distribution characteristics of multidrug-resistant bacteria in patients hospitalized in a critical care rehabilitation ward, and to analyze the risk factors leading to multidrug-resistant bacterial infections.Methods:Microbiology screening data describing 679 patients admitted to a critical care rehabilitation ward were retrospectively analyzed to divide the subjects into a multidrug-resistant group (positive for multidrug-resistant bacterial infections, n=166) and a non-multidrug-resistant group (negative for multidrug-resistant bacterial infections, n=513). The risk factors were then analyzed using logistic regression. Results:Among 369 strains of multidrug-resistant bacteria observed, 329 were gram-negative bacteria (89.2%), mainly Pseudomonas aeruginosa, Klebsiella pneumoniae and Escherichia coli. They were distributed in sputum (56.9%) and mid-epidemic urine (28.2%) specimens. Patients whose primary disease was hemorrhagic or ischemic cerebrovascular disease accounted for 40.96% and 23.49% of the multidrug-resistant bacterial infections, respectively. Logistic regression analysis showed that albumin level, dependence on mechanical ventilation, central venous cannulation, or an indwelling urinary catheter or cystostomy tube were significant independent predictors of such infections.Conclusion:The multidrug-resistant bacterial infections of patients admitted to the critically ill rehabilitation unit are mainly caused by gram-negative bacteria. Their occurrence is closely related to low albumin levels and mechanical ventilation, as well as to bearing an indwelling central venous catheter, a urinary catheter or a cystostomy catheter.

Sepsis is a syndrome of systemic inflammatory response in which the body′s response to infection is dysregulated, and is characterized by persistent infection, excessive inflammation and immunosuppression, etc. It often leads to organ dysfunction and can be life threatening, and also a common complication after trauma. The pathogenesis of post-traumatic sepsis is still unclear at present due to the complexity of its etiology, progression and prognosis. Multi-omics technology is a method to combine two or more single omics for comprehensive analysis, which can reveal the interaction network among the disease-associated molecules from multiple perspectives and aspects and is of great significance for the analysis of the pathogenesis of post-traumatic sepsis. To this end, the authors reviewed the research progress on the role of multi-omics technology in elucidating the pathogenesis of post-traumatic sepsis from the perspectives of genomics, transcriptomics, proteomics, metabolomics, single-cell transcriptomics and combination of multi-omics technologies, etc so as to provide a reference for the researches on post-traumatic sepsis.