BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Objective:To construct a risk assessment model based on hesitant probabilistic fuzzy set(HPFS)and to explore its application value in the risk control and management of safe operation of anesthesia equipment.Methods:Taking the whole life cycle safety and management safety as the important risk assessment dimensions,the risk index system of safe operation of anesthesia equipment was constructed,HPFS and hierarchical-superior-inferior solution distance method were used to realize the quantitative analysis of risks,and the safety self-inspection and risk control treatment strategies were formulated.A total of 150 surgical patients and 16 anesthesia equipment used in surgery used in the operation were selected from July 2020 to June 2023 in Tongzhou District Maternal and Child Health Hospital,and into control group and observation group according to different management modes of anesthetic equipment,with 75 cases in each group.The 10 anesthesia machines used during the surgical treatment of the control group adopted the conventional risk control mode,and the 12 anesthesia machines used in the observation group(including 6 in the control group and the 6 newly added ones)adopted the risk assessment control mode.The incidence of perioperative anesthesia equipment-related risk events,the awareness rate of anesthesia medical staff about potential safety risks,and the failure rate of anesthesia equipment were compared between the two groups.Results:The number of perioperative risk events of improper operation of anesthesia equipment,unreasonable dosage of anesthesia,associated infection and missing records in the observation group were 4 cases(5.3%),0 cases(0%),1 case(1.3%)and 1 case(1.3%),respectively,which was lower than that in the control group,the difference was statistically significant(x2=4.478,4.110,6.857,4.754;P<0.05).The average scores of theoretical knowledge of safety management,safe use,management awareness and fault judgment ability of medical staff operating anesthesia equipment in the observation group were(96.27±3.93)points,(94.31±2.69)points,(91.82±1.94)points and(84.97±4.36)points,respectively,which were higher than those in the control group,the difference was statistically significant(t=5.176,5.322,5.541,5.942;P<0.05).The total number of equipment operation setting,anesthetic gas path,anesthesia depth monitoring,threshold alarm and other faults in the two groups were 90,37,25,316 and 125,respectively,and the failure incidence rates in the observation group were 30%(27/90),35%(13/37),28%(7/25),22%(69/316)and 39%(49/125),respectively,which were lower than those in the control group,the difference was statistically significant(x2=28.800,6.541,9.680,200.532,11.664;P<0.05). Conclusion:The risk assessment model based on HPFS can reduce the incidence of risk events related to anesthesia equipment,enhance the awareness of safety risk control of anesthesia medical staff,and improve the quality of clinical operation of anesthesia equipment.

Objective:To explore the effectiveness of 18F-deuterated-Florbetapir (D3FSP) PET/CT imaging in detecting β-amyloid (Aβ) deposition in the brain and its correlation with plasma biomarkers. Methods:A retrospective analysis was conducted on 79 patients (32 males, 47 females; age(66±7)years) who underwent 18F-D3FSP PET/CT imaging from June 2022 to November 2023 at the First Affiliated Hospital, Guangzhou Medical University, as a part of the Greater Bay Area Healthy Aging Brain Longitudinal Cohort Study (GHABS). Based on the Alzheimer′s Disease Neuroimaging Initiative cohort standard protocol, patients were categorized into cognitively unimpaired (CU) group, mild cognitive impairment (MCI) group, and Alzheimer′s disease (AD) group. Brain regions were segmented using the AW workstation and the SUV ratio (SUVR) was calculated with the cerebellum as the reference region. One-way analysis of variance, Bonferroni correction and Pearson correlation analysis were used to analyze data. The ROC curve analysis was used to analyze the cut-off value and the diagnostic efficacy of SUVR. Results:There were 48, 15 and 16 cases in CU, MCI and AD groups respectively. During the transition from CU to MCI and then to AD, there was a rising trend in SUVR ( F values: 11.15-22.38, all P<0.001) across the whole brain and various brain regions (bilateral frontal lobes, bilateral anterior cingulate gyrus, bilateral precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes). SUVRs of the right anterior cingulate gyrus and bilateral precuneus were different between the CU and MCI groups (all P<0.017), and those of bilateral frontal lobes, right precuneus, bilateral parietal lobes, bilateral lateral temporal lobes, and bilateral occipital lobes were different between the MCI and AD groups (all P<0.017). SUVRs of brain regions were negatively correlated with cognitive scale scores ( r values: from -0.57 to -0.37, all P<0.001), and were positively correlated with plasma phosphorylated tau181 (p-tau181, r values: 0.50-0.61, all P<0.001). The ROC curve analysis suggested that the cut-off value of SUVR in the precuneus for distinguishing CU from AD was 1.20, with the AUC, sensitivity, specificity and accuracy of 0.85, 12/16, 91.7%(44/48)and 87.5%(56/64), respectively. Conclusion:18F-D3FSP PET/CT imaging has good clinical application value in assessing the deposition sites and the extent of Aβ in the brain, which is related to clinical cognition and plasma p-tau181 level.

Objective To discuss the efficacy and safety of transarterial chemoembolization(TACE)and hepatic arterial infusion chemotherapy(HAIC)combined with tyrosine kinase inhibitors(TKI)and immune checkpoint inhibitors(ICI)for advanced hepatocellular carcinoma(HCC).Methods A total of 101 patients with unresectable HCC,who were admitted to the Affiliated Cancer Hospital of Harbin Medical University of China between January 2021 and October 2022 to receive treatment,were enrolled in this study.Of the 101 patients,50 received TACE+TKI+ICI therapy(TACE+TKI+ICI group)and 51 received HAIC+TKI+ICI therapy(HAIC+TKI+ICI group).The overall survival(OS)and the progression-free survival(PFS)were compared between the two groups,and the adverse events were analyzed to assess the safety of the therapeutic scheme.Results The median PFS in the TACE+TKI+ICI group was 12.0 months,which in the HAIC+TKI+ICI group was 11.0 months(P=0.030).The median OS was not achieved in the TACE+TKI+ICI group,which in the HAIC+TKI+ICI group was 14.6 months(P=0.005).The most common adverse effects in the TACE+TKI+ICI group were the elevation of total bilirubin(46.0％)and hepatic function injury(26.0％),which in the HAIC+TKI+ICI group were the decrease of albumin level(62.7％),fatigue(39.2％),and gastrointestinal reactions(31.4％).Conclusion For the treatment of advanced HCC,the therapeutic scheme of TACE+TKI+ICI has a better long-term survival benefits and the therapeutic scheme of HAIC+TKI+ICI can better maintain the liver function reserve of the patients.Neither therapeutic scheme shows any unexpected toxicity,and both therapeutic schemes have high clinical safety.(J Intervent Radiol,2024,33:543-548)

Nuclear receptor corepressor (NCoR1) interacts with various nuclear receptors and regulates the anabolism and catabolism of lipids. An imbalance in lipid/energy homeostasis is also an important factor in obesity and metabolic syndrome development. In this study, we found that the deletion of NCoR1 in intestinal epithelial cells (IECs) mainly activated the nuclear receptor PPARα and attenuated metabolic syndrome by stimulating thermogenesis. The increase in brown adipose tissue thermogenesis was mediated by gut-derived tricarboxylic acid cycle intermediate succinate, whose production was significantly enhanced by PPARα activation in the fed state. Additionally, NCoR1 deletion derepressed intestinal LXR, increased cholesterol excretion, and impaired duodenal lipid absorption by decreasing bile acid hydrophobicity, thereby reversing the possible negative effects of intestinal PPARα activation. Therefore, the simultaneous regulatory effect of intestinal NCoR1 on both lipid intake and energy expenditure strongly suggests that it is a promising target for developing metabolic syndrome treatment.

To explore the technical process and the therapeutic effect of using sequential surgical guide with independent intellectual property rights assisting immediate implantation and restoration of the full arch, with the support from the periodontal splint for mobile supporting teeth, patients with severe periodontitis who planned to undergo immediate full arch implantation were recruited from August 2019 to December 2020 at the Department of Prosthodontics, Department of Periodontology, Department of Implantology and First Clinical Division, Peking University School and Hospital of Stomatology. Through the procedure of collecting preoperative maxillofacial data, making systematic diagnostic design, making periodontal splints fixation, producing surgical guide, and carrying out guided surgery for full arch immediate implantation, eight cases were included. By registering the postoperative cone-beam CT (CBCT) with the preoperative data, the difference between the actual three-dimensional position of the implants and the virtual design was observed, and the accuracy of the implant placement position guided by the sequential guide was statistically analyzed using SPSS 25.0 software. Analysis indicators include coronal and apical global displacement, coronal horizontal and vertical displacement, apical horizontal and vertical displacement, and angular deviation. Results revealed that the 8 patients [2 males and 6 females, aged (49.0±9.3) years (38-65 years)] of recruited cases included 7 cases of maxilla and 1 cases of mandible. A total of 48 implants, of which 44 implants were placed upright and 4 were placed tilted, 16 implants in the anterior region and 32 implants in the posterior region. No guide plate fracture or damage to important anatomical structures were reported. The overall displacement at the coronal point [(0.83±0.48) mm] and the global displacement at the apical point [(1.36±0.57) mm] were within the clinically acceptable safety range, and the horizontal displacement and vertical displacement at the coronal point, horizontal displacement and vertical displacement at the apical point, and the angle deviation of implants axial have no statistic significant difference in the anterior and posterior region ( P>0.05). Periodontal splints combined with sequential surgical guides to assist patients with severe periodontitis for immediate full arch implantation and immediate restoration can expand the indications of guide assisted implant surgery. It meets the safety requirements in clinical applications.

OBJECTIVE: To investigate the status of anxiety and depression in patients requiring emergency treatment during the epidemic of COVID-19 to identify the patients with acute psychological stress disorder. METHODS: During the COVID-19 epidemic, the medical staff divided the patients visiting the emergency department into suspected group, fever group and control group through interview of the patients at triage. Self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were distributed to each patient, and a trained medical staff was responsible for assisting the patient to complete the scales. RESULTS: A total of 557 sets of scales were distributed, including 211 in suspected COVID-19 case group, 167 in fever group and 179 in the control group. A total of 516 scales were retrieved, including 197 in suspected case group, 151 in fever group and 168 in control group. In the 3 groups, the incidence rates of anxiety and depression were 57.87% and 58.88%, 48.34% and 43.71%, and 18.31% and 18.99%, respectively, and the rates were significantly higher in suspected group and fever group than in the control group ( < 0.01), and significantly higher in suspected group than in fever group ( < 0.05). The standardized anxiety and depression scale scores in suspected case group, fever group and control group were 57.38±16.25 and 42.58±14.27, 51.23±15.29 and 38.32±15.39, and 32.58±17.8 and 12.25±12.94, respectively. Compared with the control group, both suspected case group and fever group had significantly higher standard scores for anxiety and depression ( < 0.01), and suspected case group had significantly higher standardized scores than fever group ( < 0.01). CONCLUSIONS Among the patients visiting the emergency treatment, the patients with suspected COVID-19 and common fever are more likely to develop anxiety and depressive symptoms.
Anxiety ; epidemiology ; Betacoronavirus ; Coronavirus Infections ; epidemiology ; psychology ; Depression ; epidemiology ; Emergency Service, Hospital ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; psychology

Objective To explore the value of thromboelastography (TEG) in patients with multiple trauma in emergency department. Methods The clinical data of 302 patients with multiple trauma hospitalized in the emergency department of Gansu Provincial People's Hospital from August 2015 to December 2018 were retrospectively analyzed. The general clinical data of the patients were collected. The patients were divided into three groups according to injury severity score (ISS): mild injury group (ISS ≤ 16), serious injury group (ISS 17-25), and severe injury group (ISS > 25). The results of vital signs, routine coagulation test, blood routine, blood biochemistry, and arterial blood gas analysis were recorded, and the National early warning score (NEWS) was calculated. TEG parameters were analyzed. Pearson correlation analysis and linear regression analysis were used to analyze the correlation between TEG indicators and NEWS score. Receiver operator characteristic (ROC) curve was plotted to analyze the diagnostic efficacy of TEG indicators for disseminated intravascular coagulation (DIC) in patients with severe injury. Results 299 patients were enrolled in the final analysis, including 92 patients in the mild injury group, 109 in the serious injury group and 98 in the severe injury group. With the increase in trauma severity, the NEWS score and TEG indicators including coagulation reaction time (R value) and blood clot generation time (K value) were gradually increased [NEWS score in mild, serious, and severe injury group was 3.46±0.89, 5.85±0.62, 9.75±1.76, R value (minutes) was 5.8±2.8, 7.8±2.6, 11.7±3.0, and K value (minutes) was 2.4±1.0, 4.2±1.4, 5.5±2.9, respectively], and blood clot generation rate (α angle), maximum width value (MA value) and coagulation index (CI) were gradually decreased [α angle (°) in mild, serious, and severe injury group was 66.9±13.5, 55.7±22.9, 46.8±26.3, MA value (mm) was 51.8±9.7, 48.1±17.0, 38.5±15.2, and CI was 2.0±3.6, -2.8±3.5, -6.7±2.9, respectively], the differences were statistically significant among the groups (all P < 0.05). Pearson correlation analysis showed that the NEWS score was positively correlated with R and K values (r value was 0.463,0.588, respectively, both P < 0.01), and it was negatively correlated with α angle, MA value and CI (r value was -0.622, -0.689, -0.902, respectively, all P < 0.01). Linear correlation analysis showed that for every 1 minute increase in R value, NEWS score increased by 0.882 [95% confidence interval (95%CI) = 0.691 to 1.073]; for every 1 minute increase in K value, NEWS score increased by 0.484 (95%CI = 0.408 to 0.559); for every 1°increase in α angle, NEWS score decreased by 2.910 (95%CI = -3.325 to -2.494); for every 1 mm increase in MA value, NEWS score decreased by 2.223 (95%CI = -2.488 to -1.958); for every 1 increase in CI, NEWS score decreased by 1.292 (95%CI =-1.362 to -1.221). The R and K values in DIC patients (n = 37) of the severe injury group were significantly higher than those in non-DIC patients [n = 61; R value (minutes): 15.8±5.6 vs. 9.8±2.6, K value (minutes): 7.6±3.1 vs. 4.3±2.2], and α angle, MA value and CI were significantly lowered [α angle (°): 48.7±19.8 vs. 59.6±26.2, MA value (mm):37.5±19.2 vs. 49.2±18.6, CI: -8.5±3.4 vs. -5.2±3.1], the differences were statistically significant between the two groups (all P < 0.05). ROC curve analysis showed that the area under ROC curve (AUC) of the R and K values for predicting DIC was 0.999 and 0.958, respectively. When the optimal cut-off value of R value was 12.3 minutes, the sensitivity and specificity were 97.5% and 100%; when the optimal cut-off value of K value was 5.7 minutes, the sensitivity and specificity were 92.5% and 82.0%. The AUC of α angle, MA value and CI were 0.084, 0.060 and 0.114, which had no predictive value. Conclusions TEG indicators have clinical value on predicting the severity of illness in patients with multiple trauma. The changes in R and K values are effective indicators to judge the risk of DIC in patients with severe multiple trauma.

Objective To establish a cell model mimicking Alzheimer's disease (AD) by knocking down SORL1 gene and compare the viability, apoptosis, and expressions of tumor necrosis factor-α( TNF-α) and interleukin-1β(IL-1β) in this model with a traditional Alzheimer's disease cell model. Methods A traditional cell model of AD was established by inducing N2a cells with Aβ25-35, and the optimal Aβ25-35 concentration was determined by assessing the cell viability changes. Another cell model of AD was established by transfecting N2a cells with SORL1-shRNA lentiviral vector, and SORL1 expression in the transfected cells were detected using Western blotting and qRT-PCR. With wild-type N2a cells without any treatment and cells transfected with a scramble shRNA as the control groups, the two cell models were examined for cell viability with MTT assay, cell apoptosis with flow cytometry, and TNF-αand IL-1βlevels in the culture supernatant with ELISA. Results The two cell models of AD showed obviously decreased viability and increased cell apoptosis compared with the untreated control cells or cells transfected with a scramble shRNA (P<0.05); no significant difference was found in the cell viability and apoptosis rate between the two AD cell models or between the two control groups (P>0.05). Significantly increased expressions of TNF-αand IL-1βwere observed in both of the two cell models compared with their respective control groups (P<0.05) without significant differences between the two cell models or between the two control groups (P>0.05). Conclusion A new AD cell model similar to Aβ25-35-induced AD model can be established by SORL1 knockdown in N2a cells.

Objective To establish a cell model mimicking Alzheimer's disease (AD) by knocking down SORL1 gene and compare the viability, apoptosis, and expressions of tumor necrosis factor-α( TNF-α) and interleukin-1β(IL-1β) in this model with a traditional Alzheimer's disease cell model. Methods A traditional cell model of AD was established by inducing N2a cells with Aβ25-35, and the optimal Aβ25-35 concentration was determined by assessing the cell viability changes. Another cell model of AD was established by transfecting N2a cells with SORL1-shRNA lentiviral vector, and SORL1 expression in the transfected cells were detected using Western blotting and qRT-PCR. With wild-type N2a cells without any treatment and cells transfected with a scramble shRNA as the control groups, the two cell models were examined for cell viability with MTT assay, cell apoptosis with flow cytometry, and TNF-αand IL-1βlevels in the culture supernatant with ELISA. Results The two cell models of AD showed obviously decreased viability and increased cell apoptosis compared with the untreated control cells or cells transfected with a scramble shRNA (P<0.05); no significant difference was found in the cell viability and apoptosis rate between the two AD cell models or between the two control groups (P>0.05). Significantly increased expressions of TNF-αand IL-1βwere observed in both of the two cell models compared with their respective control groups (P<0.05) without significant differences between the two cell models or between the two control groups (P>0.05). Conclusion A new AD cell model similar to Aβ25-35-induced AD model can be established by SORL1 knockdown in N2a cells.