Automatic rehabilitation assessment method of upper limb motor function based on posture and distribution force.

The clinical rehabilitation assessment methods for hemiplegic upper limb motor function are often subjective, time-consuming, and non-uniform. This study proposes an automatic rehabilitation assessment method for upper limb motor function based on posture and distributed force measurements. Azure Kinect combined with MediaPipe was used to detect upper limb and hand movements, and the array distributed flexible thin film pressure sensor was employed to measure the distributed force of hand. This allowed for the automated measurement of 30 items within the Fugl-Meyer scale. Feature information was extracted separately from the affected and healthy sides, the feature ratios or deviation were then fed into a single/multiple fuzzy logic assessment model to determine the assessment score of each item. Finally, the total score of the hemiplegic upper limb motor function assessment was derived. Experiments were performed to evaluate the motor function of the subjects' upper extremities. Bland-Altman plots of physician and system scores showed good agreement. The results of the automated assessment system were highly correlated with the clinical Fugl-Meyer total score (r = 0.99, p < 0.001). The experimental results state that this system can automatically assess the motor function of the affected upper limb by measuring the posture and force distribution.

Improved spatial-temporal graph convolutional networks for upper limb rehabilitation assessment based on precise posture measurement.

After regular rehabilitation training, paralysis sequelae can be significantly reduced in patients with limb movement disorders caused by stroke. Rehabilitation assessment is the basis for the formulation of rehabilitation training programs and the objective standard for evaluating the effectiveness of training. However, the quantitative rehabilitation assessment is still in the experimental stage and has not been put into clinical practice. In this work, we propose improved spatial-temporal graph convolutional networks based on precise posture measurement for upper limb rehabilitation assessment. Two Azure Kinect are used to enlarge the angle range of the visual field. The rigid body model of the upper limb with multiple degrees of freedom is established. And the inverse kinematics is optimized based on the hybrid particle swarm optimization algorithm. The self-attention mechanism map is calculated to analyze the role of each upper limb joint in rehabilitation assessment, to improve the spatial-temporal graph convolution neural network model. Long short-term memory is built to explore the sequence dependence in spatial-temporal feature vectors. An exercise protocol for detecting the distal reachable workspace and proximal self-care ability of the upper limb is designed, and a virtual environment is built. The experimental results indicate that the proposed posture measurement method can reduce position jumps caused by occlusion, improve measurement accuracy and stability, and increase Signal Noise Ratio. By comparing with other models, our rehabilitation assessment model achieved the lowest mean absolute deviation, root mean square error, and mean absolute percentage error. The proposed method can effectively quantitatively evaluate the upper limb motor function of stroke patients.

Predictors of extubation outcomes among extremely and very preterm infants: a retrospective cohort study

Abstract Objective: To explore the clinical or sociodemographic predictors for both successful and failed extubation among Chinese extremely and very preterm infants Methods: A retrospective cohort study was carried out among extremely and very preterm infants born at less than 32 weeks of gestational age (GA). Results: Compared with the infants who experienced extubation failure, the successful infants had higher birth weight (OR 0.997; CI 0.996-0.998), higher GA (OR 0.582; 95% CI 0.499-0.678), a caesarean section delivery (OR 0.598; 95% CI 0.380-0.939), a higher five-minute Apgar score (OR 0.501; 95% CI 0.257-0.977), and a higher pH prior to extubation (OR 0.008; 95% CI 0.001-0.058). Failed extubation was associated with older mothers (OR 1.055; 95% CI 1.013-1.099), infants intubated in the delivery room (OR 2.820; 95% CI 1.742-4.563), a higher fraction of inspired oxygen (FiO2) prior to extubation (OR 5.246; 95% CI 2.540-10.835), higher partial pressure of carbon dioxide (PCO2) prior to extubation (OR 7.820; 95% CI 3.725-16.420), and higher amounts of lactic acid (OR 1.478;95% CI1.063-2.056). Conclusions: Higher GA, higher pre-extubation pH, lower pre-extubation FiO2 and PCO, and lower age at extubation are significant predictors of successful extubation among extremely and very preterm infants.

Predictors of extubation outcomes among extremely and very preterm infants: a retrospective cohort study.

OBJECTIVE: To explore the clinical or sociodemographic predictors for both successful and failed extubation among Chinese extremely and very preterm infants METHODS: A retrospective cohort study was carried out among extremely and very preterm infants born at less than 32 weeks of gestational age (GA). RESULTS: Compared with the infants who experienced extubation failure, the successful infants had higher birth weight (OR 0.997; CI 0.996-0.998), higher GA (OR 0.582; 95% CI 0.499-0.678), a caesarean section delivery (OR 0.598; 95% CI 0.380-0.939), a higher five-minute Apgar score (OR 0.501; 95% CI 0.257-0.977), and a higher pH prior to extubation (OR 0.008; 95% CI 0.001-0.058). Failed extubation was associated with older mothers (OR 1.055; 95% CI 1.013-1.099), infants intubated in the delivery room (OR 2.820; 95% CI 1.742-4.563), a higher fraction of inspired oxygen (FiO2) prior to extubation (OR 5.246; 95% CI 2.540-10.835), higher partial pressure of carbon dioxide (PCO2) prior to extubation (OR 7.820; 95% CI 3.725-16.420), and higher amounts of lactic acid (OR 1.478;95% CI 1.063-2.056). CONCLUSIONS: Higher GA, higher pre-extubation pH, lower pre-extubation FiO2 and PCO, and lower age at extubation are significant predictors of successful extubation among extremely and very preterm infants.

Meta-analysis of neurocognitive rehabilitation for cognitive dysfunction among pediatric cancer survivors.

Cancer and its treatment significantly affect the cognitive functioning of pediatric cancer survivors. This meta-analysis aimed to examine the effects of neurocognitive rehabilitation interventions on the cognitive functioning and intellectual performance of pediatric cancer survivors. Four databases were searched until December 15, 2021. RevMan 5.4 was used to analyze the effects of neurocognitive rehabilitation interventions on the cognitive functioning of pediatric cancer survivors. Ten eligible randomized controlled trials were initially identified, and nine of these were included in the meta-analysis. For the working memory outcome, the pooled effect results favored study interventions and had statistical significance at postintervention assessment (Z = 2.24, P = 0.03). For the attention outcome, there were significant statistical differences at postintervention and 3/6-month follow-up assessment (Z = 2.72, P = 0.007 and Z = 10.45, P < 0.001, respectively). For the executive functioning outcome, there were significant statistical differences at postintervention and 3/6-month follow-up assessment (Z = 2.90, P = 0.004 and Z = 14.75, P < 0.001, respectively). For the academic/intellectual performance secondary outcome, the pooled overall effects of study interventions on the academic/intellectual outcome were positive at postintervention and follow-up assessment (Ps < 0.001). No studies reported any adverse events related to neurocognitive and educational interventions. This meta-analysis found that neurocognitive rehabilitation interventions improve the working memory, attention, and executive functioning of pediatric cancer survivors at postintervention and short-term follow-up. Neurocognitive rehabilitation also has positive effects on the academic/intellectual performance of this study population during a vulnerable period in their development.

Management and implementation strategies of pre-screening triage in children during coronavirus disease 2019 pandemic in Guangzhou, China.

BACKGROUND: Emerging infectious diseases are a constant threat to the public's health and health care systems around the world. Coronavirus disease 2019 (COVID-2019), which was defined by the World Health Organization as pandemic, has rapidly emerged as a global health threat. Outbreak evolution and prevention of international implications require substantial flexibility of frontline health care facilities in their response. AIM: To explore the effect of the implementation and management strategy of pre-screening triage in children during COVID-19. METHODS: The standardized triage screening procedures included a standardized triage screening questionnaire, setup of pre-screening triage station, multi-point temperature monitoring, extensive screenings, and two-way protection. In order to ensure the implementation of the pre-screening triage, the prevention and control management strategies included training, emergency exercise, and staff protection. Statistical analysis was performed on the data from all the children hospitalized from January 20, 2020 to March 20, 2020 at solstice during the pandemic period. Data were obtained from questionnaires and electronic medical record systems. RESULTS: A total of 17561 children, including 2652 who met the criteria for screening, 192 suspected cases, and two confirmed cases without omission, were screened from January 20, 2020 to March 20, 2020 at solstice during the pandemic period. There was zero transmission of the infection to any medical staff. CONCLUSION: The effective strategies for pre-screening triage have an essential role in the prevention and control of hospital infection.

Characteristics of Nosocomial Infections in Children Screened for SARS-CoV-2 Infection in China.

BACKGROUND This study summarizes the characteristics of children screened for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and reports the case of 1 child who was diagnosed with SARS-CoV-2 infection in Guangzhou Women and Children's Medical Center and the cases of his family members. MATERIAL AND METHODS The medical records of 159 children who were admitted to our hospital from January 23 to March 20, 2020, were retrospectively analyzed. Samples from pharyngeal or/and anal swabs were subjected to reverse-transcription polymerase chain reaction (RT-PCR) testing for SARS-CoV-2 within 12 h of patient admission; a second RT-PCR test was done 24 h after the first test. RESULTS Of the 159 patients, 151 patients had epidemiological histories, 14 patients had cluster onset, and 8 patients had no epidemiological history but had symptoms similar to coronavirus disease 2019 (COVID-19). The most common symptom was fever (n=125), followed by respiratory and gastrointestinal symptoms. A 7-year-old boy in a cluster family from Wuhan was confirmed with asymptomatic SARS-CoV-2 infection with ground-glass opacity shadows on his lung computed tomography scan, and his swab RT-PCR test had not turned negative until day 19 of his hospitalization. In patients who did not test positive for SARS-CoV-2, influenza, respiratory syncytial virus, and adenovirus were observed. A total of 158 patients recovered, were discharged, and experienced no abnormalities during follow-up. CONCLUSIONS For SARS-CoV-2 nosocomial infections, taking a "standard prevention & contact isolation & droplet isolation & air isolation" strategy can prevent infection effectively. Children with clustered disease need close monitoring.

Circulating "LncPPARδ" From Monocytes as a Novel Biomarker for Coronary Artery Diseases.

To investigate long noncoding RNA NONHSAT112178 (LncPPARδ) as a biomarker for coronary artery disease (CAD) in peripheral blood monocyte cells, RT-qPCR was performed to validate the microarray results, receiver operating characteristic curve was applied to study the potential of LncPPARδ as a biomarker. Diagnostic models from LncPPARδ alone or combination of risk factors were constructed by Fisher criteria. The expression of genes neighboring the LncPPARδ gene was examined with RT-qPCR in THP-1 cell line treated with LncPPARδ siRNA. Using a diagnostic model by Fisher criteria, the consideration of risk factors increased the optimal sensitivity from 70.00% to 82.00% and decreased the specificity from 94.00% to 78.00%. The consideration of risk factors also increased area under the receiver operating characteristic curve from 0.727 to 0.785 (P = 0.001), from 0.712 to 0.768 (P = 0.01), and from 0.769 to 0.835 (P = 0.07), in the original, training, and test sets, respectively. Finally, we found that the expression of peroxisome proliferator-activated receptor δ (PPARδ), Adipose Differentiation-Related Protein (ADRP), and Angiopoietin-like 4 (ANGPTL4) were affected by LncPPARδ silencing.Our present study indicated that LncPPARδ, especially combined with risk factors, can be a good biomarker for CAD. LncPPARδ regulates the expression of neighboring protein-coding genes, PPARδ and its direct target genes ADRP and ANGPTL4.