Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

Objective To evaluate the clinical outcome of posterior cruciate ligament(PCL)recon-struction using ligament augmentation and reconstruction system(LARS)artificial ligament,and ana-lyze factors affecting the prognosis.Methods A total of 45 patients(31 males and 14 females,with an average age of 38.0±12.8 years)underwent PCL reconstruction using LARS artificial ligament in China-Japan Friendship Hospital in years from 2018 to 2021 were analyzed retrospectively.Their aver-age time from injury to surgery of 2.8±4.2 months.They were followed up for no less than 1 year about the stability of knee,Lysholm score and Tegner score,as well as the patient's satisfaction.Moreover,the effect of patient's age,time from injury to surgery,and complications of other ligament injuries of the knee on the final outcomes were analyzed.Results For all the 45 patients,the mean follow-up time was 35.0±14.1 months,with their satisfaction rate of 91.1%.There were 31 cases of 3° instability and 14 cases of 2° instability before surgery,which improved significantly as only 4 cas-es were of 2° instability,22 cases of 1° instability at the final follow-up(χ2=77.56,P<0.000).More-over,the average Lysholm and Tegner scores increased significantly from 37.2±15.2 and 0.9±0.9,to 85.3±12.7 and 4.4±1.3,respectively(t=16.34,P<0.000;t=15.72,P<0.000).What's more,the age of over 40 years had effect on the prognosis,while the time from injury to surgery and the com-plicated ligament injuries of the knee did not.Conclusion Using LARS artificial ligament as graft for PCL reconstruction can achieve satisfactory clinical results on the short-term.

Objective To evaluate the clinical outcome of posterior cruciate ligament(PCL)recon-struction using ligament augmentation and reconstruction system(LARS)artificial ligament,and ana-lyze factors affecting the prognosis.Methods A total of 45 patients(31 males and 14 females,with an average age of 38.0±12.8 years)underwent PCL reconstruction using LARS artificial ligament in China-Japan Friendship Hospital in years from 2018 to 2021 were analyzed retrospectively.Their aver-age time from injury to surgery of 2.8±4.2 months.They were followed up for no less than 1 year about the stability of knee,Lysholm score and Tegner score,as well as the patient's satisfaction.Moreover,the effect of patient's age,time from injury to surgery,and complications of other ligament injuries of the knee on the final outcomes were analyzed.Results For all the 45 patients,the mean follow-up time was 35.0±14.1 months,with their satisfaction rate of 91.1%.There were 31 cases of 3° instability and 14 cases of 2° instability before surgery,which improved significantly as only 4 cas-es were of 2° instability,22 cases of 1° instability at the final follow-up(χ2=77.56,P<0.000).More-over,the average Lysholm and Tegner scores increased significantly from 37.2±15.2 and 0.9±0.9,to 85.3±12.7 and 4.4±1.3,respectively(t=16.34,P<0.000;t=15.72,P<0.000).What's more,the age of over 40 years had effect on the prognosis,while the time from injury to surgery and the com-plicated ligament injuries of the knee did not.Conclusion Using LARS artificial ligament as graft for PCL reconstruction can achieve satisfactory clinical results on the short-term.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network properties among patients with mild cognitive impairment (MCI) exhibiting different cognitive outcomes and normal controls (NCs), and to further evaluate the predictive value of these imaging indicators for cognitive deterioration in MCI patients.Methods:A total of 43 NCs, 65 stable MCI (sMCI), and 26 progressive MCI (pMCI) patients enrolled in the Alzheimer′s Disease Neuroimaging Initiative (ADNI) database between December 2012 and May 2016 were included in this study. Baseline demographic information and T 1-weighted magnetic resonance imaging scans were collected. Hippocampal subfield volumes were extracted using freesurfer software, and structural covariance networks of hippocampal subfields were constructed. Multivariate analysis of covariance was used to compare hippocampal subfield volumes among the 3 groups. A general linear model was applied to examine group differences in hippocampal subfield structural covariance network properties. Least absolute shrinkage and selection operator (LASSO)-Logistic regression was employed to identify imaging predictors associated with conversion to Alzheimer′s disease (AD), based on which structural, network-based, and combined predictive models were constructed. Model discrimination was evaluated using the area under the curve (AUC); internal validation was performed using Bootstrap resampling; model calibration was assessed with the Hosmer-Lemeshow test; and clinical utility was evaluated through decision curve analysis. Results:Significant differences in hippocampal subfield volumes (mm3) were observed among the 3 groups (all P<0.05, Bonferroni-corrected). Specifically, left parasubiculum (65.58±13.30, 61.96±17.56, 49.56±11.82, F=9.900), right parasubiculum (65.92±15.21, 59.45±16.65, 47.69±15.48, F=11.612), left presubiculum (277.09±39.85, 258.15±44.86, 224.05±45.05, F=14.513), right presubiculum (262.85±40.43, 247.41±43.27, 209.97±46.11, F=14.500), left subiculum (399.66±32.19, 374.25±55.83, 306.12±51.62, F=32.923), right subiculum (417.93±48.92, 376.59±51.01, 316.82±70.22, F=28.764), left cornu ammonis 1 (CA1) (592.10±83.87, 561.96±94.72, 490.06±86.89, F=13.352), right CA1 (632.15±100.09, 601.24±88.88, 531.05±110.29, F=10.579), left CA3 (191.58±30.08, 180.47±34.66, 155.08±37.82, F=12.182), right CA3 (210.42±28.92, 203.84±34.80, 176.69±41.47, F=9.597), left CA4 (224.61±28.94, 210.49±35.04, 183.98±36.89, F=16.521), right CA4 (238.49±28.14, 227.43±30.65, 200.23±42.74, F=13.702), left granule cell-molecular layer-dentate gyrus (GC-ML-DG) (259.96±36.76, 239.42±41.17, 207.61±41.84, F=19.831), right GC-ML-DG (273.98±35.12, 258.79±36.82, 227.81±49.07, F=14.204), left molecular layer (505.62±66.16, 468.58±75.17, 402.68±75.47, F=22.293), right molecular layer (527.39±72.39, 493.14±70.39, 423.81±88.09, F=19.588), left hippocampal amygdala transition area (HATA) (54.91±9.99, 49.52±9.93, 43.27±9.59, F=13.571), right HATA (58.43±9.83, 54.55±10.80, 47.12±12.54, F=10.037), left fimbria (69.94±25.04, 56.63±23.74, 40.58±19.83, F=14.846), right fimbria (68.61±26.24, 53.95±23.16, 45.25±17.04, F=10.424), left hippocampal tail (488.37±83.44, 463.54±80.33, 393.83±77.73, F=13.570), and right hippocampal tail (519.78±80.22, 498.84±81.68, 419.75±93.29, F=14.339) all showed significant group differences. Significant group differences were also observed in small-worldness metric γ (0.51±0.10, 0.51±0.08, 0.62±0.14, F=9.317), small-worldness metric λ (0.39±0.02, 0.39±0.02, 0.43±0.04, F=9.925), global efficiency (0.19±0.01, 0.20±0.01, 0.18±0.01, F=3.189), local efficiency (0.26±0.02, 0.26±0.01, 0.27±0.01, F=3.068), clustering coefficient (0.23±0.01, 0.23±0.01, 0.24±0.02, F=4.274), and characteristic path length (0.73±0.06, 0.72±0.06, 0.76±0.07, F=4.477) of the hippocampal subfield structural covariance network (all P<0.05). Specifically, the pMCI group exhibited higher γ ( t=3.773, P<0.001), λ ( t=4.060, P<0.001), local efficiency ( t=2.445, P=0.047), and clustering coefficient ( t=2.849, P=0.015) than the NCs group, and higher γ ( t=4.074, P<0.001), λ ( t=4.068, P<0.001), and characteristic path length ( t=2.986, P=0.010) but lower global efficiency ( t=-2.444, P=0.047) than the sMCI group. The AUC of the structural, network, and combined models based on LASSO-Logistic regression was 0.837, 0.861, and 0.899, respectively. After internal validation, the corrected AUC was 0.835, 0.855, and 0.889, respectively. All models demonstrated good calibration ( P>0.05), and decision curve analysis indicated favorable clinical net benefit across models. Conclusions:Both sMCI and pMCI patients exhibit widespread hippocampal subfield atrophy and altered global properties of hippocampal subfield structural covariance networks compared to NCs. The models constructed based on hippocampal subfield volumes and structural covariance networks show strong potential for predicting cognitive decline in MCI patients.

OBJECTIVE To investigate the intervention effect and potential mechanism of breviscapine on hepatic fibrosis （HF） in rats based on the transforming growth factor-β（1 TGF-β1）/Smad2/extracellular signal-regulated protein kinase 1（ERK1） and Kelch-like epichlorohydrin-associated protein 1（Keap1）/nuclear factor-erythroid 2-related factor 2（Nrf2）/heme oxygenase-1（HO-1） pathways. METHODS Totally 60 rats were randomly divided into normal control group， model group， breviscapine low-dose， medium-dose and high-dose groups （5.4， 10.8， 21.6 mg/kg）， and colchicine group （positive control， 0.45 mg/kg）， with 10 rats in each group， half male and half female. Except for the normal control group， HF model of the other groups was induced by carbon tetrachloride. Subsequently， each drug group was given corresponding medicine by gavage once a day for 28 days. The liver appearance of rats in each group was observed and their liver coefficients were calculated. The levels of alanineaminotransferase （ALT） and aspartate aminotransferase （AST）in serum， those of ALT， AST， superoxide dismutase （SOD），malondialdehyde （MDA） and glutathione peroxidase （GSH- Px） in liver tissue were detected. The liver tissue inflammatory and fibrotic changes were observed. The protein and mRNA expressions of TGF-β1， Smad2， ERK1， Nrf2， Keap1 and HO-in liver tissue were detected. RESULTS Compared with the normal control group， the model group showed large areas of white nodular lesions in the liver， obvious inflammatory cell infiltration and collagen fiber deposition. The body weight， the levels of SOD and GSH-Px in liver tissue， the protein and mRNA expressions of Nrf2 and HO-1 were significantly lowered in the model group （P＜0.05）； the liver coefficient， the percentage of Masson staining positive area， ALT and AST levels of serum and liver tissue， MDA level of liver tissue， the protein and mRNA expressions of TGF-β1， Smad2， ERK1 and Keap1 were significantly increased （P＜0.05）. Compared with the model group， the liver lesions of rats in each drug group were improved， and the above quantitative indexes were generally reversed （P＜0.05）. CONCLUSIONS Breviscapine has a good intervention effect on HF rats， which may be related to inhibiting TGF-β1/Smad2/ERK1 pathway for anti-fibrosis and regulating Keap1/Nrf2/HO-1 pathway to inhibit oxidative stress.

Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment of physiological information. Therefore, performing a quality assessment before extracting physiological information is crucial. This paper proposed a new PPG signal quality assessment by fusing multi-class features with multi-scale series information to address the problems of traditional machine learning methods with low accuracy and deep learning methods requiring a large number of samples for training. The multi-class features were extracted to reduce the dependence on the number of samples, and the multi-scale series information was extracted by a multi-scale convolutional neural network and bidirectional long short-term memory to improve the accuracy. The proposed method obtained the highest accuracy of 94.21%. It showed the best performance in all sensitivity, specificity, precision, and F1-score metrics, compared with 6 quality assessment methods on 14 700 samples from 7 experiments. This paper provides a new method for quality assessment in small samples of PPG signals and quality information mining, which is expected to be used for accurate extraction and monitoring of clinical and daily PPG physiological information.
Photoplethysmography ; Machine Learning ; Neural Networks, Computer

Objective:To investigate the effects of lengths of intramedullary nails on the treatment efficacy of osteoporotic unstable intertrochanteric fracture.Methods:Retrospectively analyzed were the data of patients with osteoporotic unstable intertrochanteric fracture who had been admitted to Department of Orthopedics, China-Japan Friendship Hospital from January 2017 to December 2019. According to the lengths of intramedullary nails, the patients were divided into 2 groups. In the short nail group of 135 cases, there were 38 males and 97 females with an age of (82.2 ± 7.7) years and an intramedullary nail with a length of 170 mm was used. In the long nail group of 32 cases, there were 8 males and 24 females with an age of (81.5±7.1) years and an intramedullary nail longer than 300 mm was used. The amount of intraoperative hemoglobin drop value, operation time, Harris hip score at 6 months after surgery, incidence of complications and mortality were compared between the 2 groups.Results:There was no significant difference in the preoperative general data between the 2 groups, indicating comparability between groups ( P>0.05). There were no significant differences between the 2 groups in intraoperative hemoglobin drop value [(19.8±2.2) g/L versus (20.0±2.1) g/L], Harris hip score (72.0±3.0 versus 71.2±3.6), incidence of complications [3.0% (4/135) versus 6.2 (2/32)] or mortality [14.3% (19/135) versus 15.6% (5/32)] ( P>0.05). The long nail group needed significantly longer operation time than the short nail group [(84.6±5.6) min versus (92.0±7.2) min] ( P<0.05). Conclusions:In the treatment of osteoporotic unstable intertrochanteric fracture, short and long intramedullary nails show no significant difference in hemoglobin drop value, functional score, complications or mortality, indicating they can both lead to safe and reliable curative efficacy. However, long nails need longer operation time.

Objective:To analyze the influence of comprehensive rehabilitation on postoperative functions in the elderly patients with femoral intertrochanteric fracture.Methods:From June 2015 to June 2019, 144 elderly patients were treated at Department of Orthopedics, China-Japan Friendship Hospital for femoral intertrochanteric fractures by internal fixation with proximal femoral nail anti-rotation (PFNA). Of them, 65 received comprehensive rehabilitation, including intervention measures for details, prevention and management of comorbidities and complications and active exercise of the injured limb, while 79 conventional rehabilitation. In the comprehensive rehabilitation group, there were 22 males and 43 females with an age of (76.6±6.7) years, and 18 cases of type 31-A1, 35 cases of type 31-A2 and 12 cases of type 31-A3 by the AO type. In the control group, there were 23 males and 56 females with an age of (75.2±7.0) years, and 25 cases of type 31-A1, 39 cases of type 31-A2 and 15 cases of type 31-A3 by the AO type. The 2 groups were compared in terms of visual analog scale (VAS), Harris hip score, Barthel index, postoperative ambulation time and complications at 6 months after operation.Results:The 2 groups were comparable because there was no significant difference between them in the preoperative or intraoperative general data ( P>0.05). The comprehensive rehabilitation group had a significantly lower VAS score (1.5±1.0), a significantly higher Harris hip score(83.9±5.4), a significantly higher Barthel index (81.6±5.4), significantly shorter postoperative ambulation time [(2.6±1.0) d], and a significantly lower incidence of complications [4.6% (3/65)] than the control group did [1.9±1.2, 80.2±7.9, 78.2±7.9, (3.2±1.4) d, 16.5%(13/79), respectively] (all P< 0.05). Conclusion:For elderly patients with femoral intertrochanteric fracture, comprehensive rehabilitation can significantly reduce complications, promote functional recovery of the hip, and speed up recovery of capabilities of daily living compared with conventional rehabilitation.

Objective:To explore the incidence and morphology of the posterolateral fracture fragment affecting the fibular notch in posterior pilon fracture.Methods:A retrospective analysis was conducted of the CT and clinical data of the 31 patients with posterior pilon fracture who had been treated at Department of Orthopaedic, China-Japan Friendship Hospital from May 2013 to May 2018. They were 17 men and 14 women, aged from 20 to 68 years (average, 42 years). The injury affected the left side in 13 cases and the right side in 18 ones. The incidence of the posterolateral fracture fragments affecting the fibular notch was counted. The morphologic indexes of the fragments were measured like axial angle of their fracture line, fragment area, fragment height, and sagittal angle of their fracture line.Results:A posterolateral fracture fragment affecting the fibular notch was found in all the 31 posterior pilon fractures, giving an incidence of 100% in the posterior pilon fracture. The fracture line of the fragments tended to be in the coronal plane. The axial angle of the fracture line was 20.25°±9.48°; the ratio of the fragment area to the distal tibial articular area was 15.78%±6.75%; the fragment height was 36.59 mm ± 10.70 mm; the sagittal angle of the fracture line was 18.37°±5.45°.Conclusions:A posterolateral fracture fragment affecting the fibular notch can be found in all the posterior pilon fractures. It does not affect a large articular area and its fracture line is usually located in the coronal plane. These data may help choose appropriate surgical approach and internal fixation.

Objective:To investigate the effect of smoking on autophagy in alveolar macrophages (AMs) of silicosis patients.Methods:In December 2019, a random sampling method was used to select 42 male patients with silicosis (19 cases of stage II and 23 cases of stage III) who were treated with large volume whole lung lavage from August to December 2017 in the Beidaihe sanatorium. According to the different smoking index of the study subjects (smoking index=smoking cigarette consumptions per day×years of smoking) , we divided them into high (Smoking index>400) , medium (200≤smoking index≤400) , low (smoking index <200) and non-smoking group. The levels of autophagy related proteins LC3, Beclin1, p62 and apoptosis related protein Cleaved Caspase-3 were detected by Western blot. The effects of smoking on autophagy activity of AMs in silicosis were analyzed.Results:The ratio of autophagy related protein LC3 II/LC3 I, the expression of Beclin1, p62, and apoptosis related protein Cleaved Caspase-3 in the high smoking group were significantly higher than that of the middle, low smoking group and the non-smoking group ( P<0.05) . Conclusion:Smoking can aggravate the dysfunction of autophagic degradation in silicosis patients' AMs, which may accelerate the progress of silicosis through increasing apoptosis in AMs.