In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN) - convolutional block attention module (CBAM) - bidirectional long short-term memory network (BiLSTM) muscle strength prediction model to fully explore the spatial and temporal features of the data and simultaneously suppress useless features, and finally achieve the improvement of the accuracy of the muscle strength prediction model. To verify the effectiveness of the model proposed in this paper, the model in this paper is compared with traditional models such as support vector machine (SVM), random forest (RF), convolutional neural network (CNN), CNN - squeeze excitation network (SENet), MSCNN-CBAM and MSCNN-BiLSTM, and the effect of muscle strength prediction by each model is investigated when the hand force application changes from 40% of the maximum voluntary contraction force (MVC) to 60% of the MVC. The research results show that as the hand force application increases, the effect of the muscle strength prediction model becomes worse. Then the ablation experiment is used to analyze the influence degree of each module on the muscle strength prediction result, and it is found that the CBAM module plays a key role in the model. Therefore, by using the model in this article, the accuracy of muscle strength prediction can be effectively improved, and the characteristics and laws of hand muscle activities can be deeply understood, providing assistance for further exploring the mechanism of hand functions .
Neural Networks, Computer ; Humans ; Hand Strength/physiology* ; Support Vector Machine ; Muscle Strength/physiology* ; Hand/physiology* ; Convolutional Neural Networks

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

OBJECTIVE The non-volatile and volatile chemical components in Yin-Qiao-Qing-Re Tablets were analyzed sepa-rately using ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS)and Gas Chromatography Mass Spectrometry(GC-MS).METHODS The non-volatile components were analyzed using a Waters ACQUITY UPLC BEH C18 column(2.1 mm×100 mm,1.7 μm),with a mobile phase consisting of 0.1％formic acid aqueous solution(A)and acetonitrile(B)for gradient elution,a flow rate of 0.35 mL·min-1,an injection volume of 5 μL,and a column temperature of 30 ℃;the volatile components were analyzed using an Agilent SH-I-5MS column(5％Phenyl Methyl Silox,30 m×250 μm,0.25 μm);the procedure was temperature-programmed,with an injection volume of 1 μL,a split ratio of 10∶1,a flow rate of 1.0 mL·min-1,and an inlet temperature of 200 ℃.RESULTS A total of 134 non-volatile chemical components and 23 volatile components were analyzed and identified from Yin-Qiao-Qing-Re Tablets,among which 49 compounds were confirmed through comparison with reference stand-ards.The non-volatile components mainly include 27 flavonoids,21 organic acids,15 lignans,14 iridoids,12 phenylethanoid glyco-sides,11 saponins,10 alkaloids,5 terpenes,4 amino acids,3 phenylpropanoids,3 nucleosides,3 xanthones,3 phenolic glycosides,2 chromones and 1 carbohydrate.The volatile components mainly include 11 monoterpenes,5 alcohols and phenols,3 alkenes,2 ke-tones,1 ester,and 1 hydrocarbon.CONCLUSION This study rapidly identifies the chemical components of Yin-Qiao-Qing-Re Tablets,laying a preliminary foundation for research on the pharmacodynamic substances of Yin-Qiao-Qing-Re Tablets and the im-provement of quality control standards.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

OBJECTIVE To establish a extraction process of Changyan Heji Ⅱ(CYHJ-Ⅱ)based on UPLC-Q-TOF-MS/MS technology combined with response surface analysis,and to optimize the extraction process.METHODS The chemical components in CYHJ-Ⅱ were qualitatively analyzed by UPLC-Q-TOF-MS/MS technology,and the chemical components with good linear relation-ship in mass spectrometry response were selected as process investigation indicators;the extraction process parameters(water addition amount,extraction time and soaking time)were investigated by Box-Behnken design;the comprehensive score was obtained by princi-pal component analysis(PCA),and the optimal process was determined by the comprehensive score combined with response surface a-nalysis.RESULTS Through qualitative analysis,110 components were inferred and identified from CYHJ-Ⅱ,including 2 organic acids,82 flavonoids,13 terpenoids,and 13 alkaloids.Based on the results of qualitative analysis,48 index components with good lin-ear relationships were derived by UPLC-Q-TOF-MS/MS combined with Masshunter mass spectrometry data analysis software.PCA was performed and the comprehensive score was calculated.Response surface analysis was performed with the comprehensive score as an indicator.The optimal extraction process obtained by combining the response surface prediction results and actual production was:soaking for 45 min,8 times the amount of solvent,2 extractions,each time for 120 min.CONCLUSION This study provides a new idea for the investigation of the extraction process of traditional Chinese medicine compound prescriptions and expands a new method for the development of traditional Chinese medicine compound prescriptions.

Objective The study analyzed and identified the components in Shangketianshao Gel by LC-Q-TOF/MS.Methods The analysis was performed on Agilent Eclipse Plus C18(250 mm×4.6 mm,5 μm)column was applied with methanol and 0.1%formic acid as mobile phase for gradient elution,flow rate was 1 mL·min-1 and column temperature was 30℃.The analytes were determined by positive and negative ion modes with electro-spray ionization source,combined message of standard reference and the literature.Results 103 constituents were identified,all compounds were classified to their medicinal materials derivation.22 compounds from Paeoniae Radix Rubra,33 compounds from Rhei Radix et Rhizoma,20 compounds from Angelicae Dahuricae,23 compounds from Cortex Phellodendr and 14 compounds from Trichosanthes kirilowii Maxim.9 components were jointly owned.Conclusion The study provided a suitable way for Chemical fundamentals and quality control of Shangketianshao Gel and laid a foundation for in depth studies of its pharmacodynamics and the quality control.

Objective:To investigate the metabolic profile of fatty acids in elderly frail patients, and its value as a biomarker of frailty.Methods:Forty-nine older adults were recruited, of whom 19 were non-frail while 15 were in the pre-frail or frail phase.Targeted metabolomics was used to detect the serum levels of fatty acids, concerning 38 short-, medium-and long-chain fatty acids.Results:Metabolomics indicated elevated levels of 9 long-chain fatty acids in the serum of the elderly frail patients, with a 1.056-fold increase in the risk of fatigue for every 1 unit increase in the level of HOMO-γ-linolenic acid( OR=2.056, P=0.016). No metabolic differences were found between the pre-frail and non-frail groups.Three and seven long-chain fatty acids were negatively correlated with the grip strength and gait speed, respectively.The γ-linolenic acid was positively correlated with body mass index(BMI), percent body fat, visceral fat area and other indicators reflecting adipose tissue.However, no correlation was found between skeletal muscle, laboratory indicators or fatty acids.Five metabolic pathways were correlated with frailty, namely fatty acid biosynthesis, fatty acid metabolism, fatty acid elongation in mitochondria, linoleic acid metabolism and α-linolenic acid metabolism. Conclusions:Nine unsaturated fatty acids, including HOMO-γ-linolenic acid and γ-linolenic acid, may be potential biomarkers of frailty in the elderly.However, the value of fatty acid metabolomics for identifying pre-frail elderly people needs to be further investigated.

Background/Aims: Esophagogastric junction outflow obstruction (EGJOO) is characterized by elevated integrated relaxation pressure (IRP) and preserved esophageal peristalsis. The clinical significance of EGJOO is uncertain. This study aim to describe the clinical characteristics of these patients and to find out potential parameters to predict patients’ symptom outcome. Methods: Consecutive patients who received high-resolution manometry examination in our hospital in 2013-2019 and met the diagnostic criteria of EGJOO were retrospectively included. Motility and reflux parameters as well as endoscopy and barium esophagogram results were studied and compared. Patients were also followed up to record their treatment methods and symptom outcomes. Results: A total of 138 EGJOO (accounting for 5.2% of total patients taking high-resolution manometry examination in our hospital) patients were included. Only 2.9% of these patients had persistent dysphagia. A total of 81.8% of EGJOO patients had symptom resolution during follow-up. Patients with persistent dysphagia had significantly higher upright IRP (16.6 [10.3, 19.8] vs 7.8 [3.2, 11.5]; P = 0.026) than those without. Upright IRP can effectively distinguished patients with persistent dysphagia (area under curve: 0.826; P = 0.026) using optimal cut-off value of 9.05 mmHg. Conclusion EGJOO patients with persistent dysphagia and higher upright IRP (median > 9.05 mmHg) needs further evaluation and aggressive management.

Objective:To construct a risk prediction score for the needs of coronary care unit (CCU) care in stable condition acute ST-segment elevation myocardial infarction (STEMI) patients who receive percutaneous coronary intervention (PCI) treatment.Methods:The clinical data of 805 STEMI patients who accepted PCI in the First Hospital of Jilin University from November 2017 to October 2018 were retrospectively analyzed. Among the patients, 654 patients from November 2017 to July 2018 were served as the modeling group, the patients with needs of CCU had 125 cases, and the patients without needs of CCU had 529 cases; 151 patients from August 2018 to October 2018 were served as the validation group, the patients with needs of CCU had 28 cases, and the patients without needs of CCU had 123 cases. Binary Logistic regression analysis was used to establish the risk prediction model and determine the score standards. The critical value was determined according to the best Youden index of receiver operating characteristic (ROC) curve.Results:Among 805 patients with STEMI, 153 cases (19.01%) had the needs of CCU, and the most common reason was pump failure (heart failure and cardiogenic shock, 113 cases). In the modeling group, age (60 to 74 years old, OR = 1.513, 95% CI 0.945 to 2.424, P = 0.085; ≥75 years old, OR = 2.740, 95% CI 1.371 to 5.478, P = 0.004), total ischemic time>4 h ( OR = 1.701, 95% CI 1.022 to 2.831, P = 0.041), admission shock index ≥0.8 ( OR = 1.910, 95% CI 1.178 to 3.099, P = 0.009), multi-vessel disease ( OR = 2.090, 95% CI 1.272 to 3.432, P = 0.004), preoperative diseased vessels thrombolysis in myocardial ischemia (TIMI) blood flow grade 0 ( OR = 2.099, 95% CI 1.313 to 3.353, P = 0.002), acute anterior myocardial infarction ( OR = 3.696, 95% CI 2.347 to 5.819, P<0.001) and previous history of stroke ( OR = 3.927, 95% CI 2.057 to 7.500, P<0.001) were independent risk factors for CCU needs in STEMI patients undergoing PCI. The scoring criteria were as followings: age<60 years old was given 0 score, 60 to 74 years old 1 score, ≥75 years old 2 score; total ischemic time>4 h in 1 score, admission shock index ≥0.8 2 scores, multi-vessel disease 2 scores, preoperative diseased vessels TIMI blood flow grade 0 2 scores, acute anterior myocardial infarction 3 scores, previous history of stroke 3 scores, and the total score was 15 scores. The patients with 0 to 6 scores were low-risk, and the patients with 7 to 15 scores were high-risk. ROC curve analysis result showed that, in modeling group, the area under curve (AUC) of risk prediction score for predicting the needs of CCU in STEMI patients was 0.740 (95% CI 0.692 to 0.788, P = 0.580); in validation group, the AUC of risk prediction score for predicting the needs of CCU in STEMI patients was 0.755 (95% CI 0.658 to 0.853, P = 0.755). Conclusions:A predictive risk score based on seven risk factors such as age, total ischemic time, admission shock index, multi-vessel disease, preoperative diseased vessels TIMI blood flow grade, acute anterior myocardial infarction and previous history of stroke is constructed in order to predict the needs of CCU in STEMI patients with stable condition who receive PCI treatment. It can be used to help doctors to identify high-risk patients before the admission to CCU, thus providing simple and practical clinical tool for rational allocation of limited CCU resources.

Background/Aims: Esophagogastric junction outflow obstruction (EGJOO) is characterized by elevated integrated relaxation pressure (IRP) and preserved esophageal peristalsis. The clinical significance of EGJOO is uncertain. This study aim to describe the clinical characteristics of these patients and to find out potential parameters to predict patients’ symptom outcome. Methods: Consecutive patients who received high-resolution manometry examination in our hospital in 2013-2019 and met the diagnostic criteria of EGJOO were retrospectively included. Motility and reflux parameters as well as endoscopy and barium esophagogram results were studied and compared. Patients were also followed up to record their treatment methods and symptom outcomes. Results: A total of 138 EGJOO (accounting for 5.2% of total patients taking high-resolution manometry examination in our hospital) patients were included. Only 2.9% of these patients had persistent dysphagia. A total of 81.8% of EGJOO patients had symptom resolution during follow-up. Patients with persistent dysphagia had significantly higher upright IRP (16.6 [10.3, 19.8] vs 7.8 [3.2, 11.5]; P = 0.026) than those without. Upright IRP can effectively distinguished patients with persistent dysphagia (area under curve: 0.826; P = 0.026) using optimal cut-off value of 9.05 mmHg. Conclusion EGJOO patients with persistent dysphagia and higher upright IRP (median > 9.05 mmHg) needs further evaluation and aggressive management.