OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

OBJECTIVE:Based on different algorithms of machine learning,the prediction model of lumbar disc herniation has become a trend and hot spot in the development of precision medicine.However,there is limited evidence on the reporting quality and methodological quality of prediction models of lumbar disc herniation outcomes using machine learning.This article is aimed to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation by comprehensively analyzing the report quality and risk of bias of previous studies that developed and validated prognosis prediction models based on machine learning through a comprehensive literature search,in order to explore the performance of machine learning algorithms in predicting the prognosis of lumbar disc herniation.METHODS:The databases of CNKI,WanFang,VIP,SinOMED,PubMed,Web of Science,Embase,and The Cochrane Library were searched by computer.Studies on the use of machine learning to develop(and/or validate)prognostic prediction models for lumbar disc herniation were collected from the inception of the database to December 31,2023.Two researchers independently screened the literature,extracted data,and assessed the risk of bias of the included studies.The reporting quality and risk of bias of the included studies were assessed by the Multivariable Transparent Reporting of Predictive Models(TRIPOD)statement and the Predictive Model Risk of Bias Assessment Tool(PROBAST).The results of the evaluation were analyzed using descriptive statistics and visual charts.RESULTS:(1)A total of 23 articles were included,and the TRIPOD compliance of each study ranged from 11％to 87％,with a median compliance of 54％.The quality of reporting of titles,detailed descriptions of treatment measures,blinding of predictors,handling of missing data,details of risk stratification,specific procedures for enrollment,model interpretation,and model performance was mostly poor,with TRIPOD adherence rates ranging from 4％to 35％.(2)Of all included studies,61％had a high risk of bias and 39％had an unclear overall risk of bias.The area under the curve,accuracy,sensitivity and specificity were used to evaluate the performance of the model.The areas under the curve of 20 models were reported,ranging from 0.561 to 0.999.Three models reported the accuracy of the model,ranging from 82.07％to 89.65％.(3)Among all included studies,the statistical analysis domain was most often assessed as having a high risk of bias,mainly due to the small number of valid samples,the selection of predictors based on univariate analysis and the lack of calibration and discrimination assessment of the model in the study.CONCLUSION:These results indicate that machine learning can achieve good predictive ability in the development and validation of prognostic models for lumbar disc herniation.The commonly used algorithms include regression algorithm,support vector machine,decision tree,random forest,artificial neural network,naive Bayes and other algorithms.Reasonable algorithms combined with clinical practice can improve the accuracy of prognosis prediction of lumbar disc herniation.However,the reporting and methodological quality of prognosis prediction models based on machine learning are poor,the prediction performance of different models varies greatly,and the generalization and extrapolation of research models are unclear.There is an urgent need to improve the design,implementation and reporting of such studies.To promote the application of machine learning in the clinical practice of lumbar disc herniation prediction models,it is necessary to comprehensively consider various predictors related to the prognosis of the disease before modeling,and strictly follow the relevant standards of PROBAST tool during modeling.

Objective:To investigate the possible mechanism of treadmill exercise(TR)in improving cognitive function of rats with chronic unpredictable mild stress(CUMS)by detecting pathological changes and the expression of sigma-1 receptor(SIR),endoplasmic reticulum stress-related proteins in hippocampus.Methods:30 SD rats were ran-domly allocated into control group(n=10),CUMS group(n=10)and CUMS exercise group(CUMS+TR,n=10).Subsequently,depressive model was established in rats of CUMS group and CUMS+TR group,meanwhile,CUMS+TR group rats were subjected to 4 weeks of moderate intensity treadmill exercise(20 m/min).After the CUMS and tread-mill exercise,the eight-arm radial maze test(RAM)was carried out to evaluate the learning-memory functions.Subse-quently,the pathological changes of neurons in the hippocampus of rats were measured by HE staining,the protein expression of the GRP78,IRE1,XBP1,CHOP,caspase-3 and SIR in the hippocampus were measured by Western blot.Results:Compared with the control group,the time of finishing the eight-arm radial maze prolonged and the num-ber of total memory errors increased(P＜0.05)in the RAM of the CUMS group rats.The morphology and structure of neurons in the hippocampus of CUMS group rats showed obvious pathological changes,the protein expression levels of GRP78,IRE1,XBP1,CHOP and caspase-3 significantly increased and SIR protein expression decreased(P＜0.05)in hippocampus in the CUMS group compared with the control group rats.4-week treadmill exercise significantly im-prove the learning and memory ability and pathological changes of neurons in hippocampus of CUMS+TR group rats.Compared with CUMS group rats,the protein expression levels of GRP78,IRE1,XBP1,CHOP and caspase-3 signifi-cantly decreased,the SIR expression in hippocampus significantly increased in the CUMS+TR group rats(P＜0.05).Conclusion:Treadmill exercise can improve cognitive impairment in CUMS rats,and its mechanism may be related to the up-regulation of SIR expression and the inhibition of ERS-mediated apoptosis pathway in hippocampus.

Objective:To investigate the staging of cardiovascular-kidney-metabolic (CKM) syndrome before onset, and to analyze its impact on short-term prognosis in patients with acute myocardial infarction (AMI).Methods:The clinical data of 2 993 patients with AMI from January 2017 to December 2023 in Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The basic information, baseline data, in-hospital data, cardiac-related examination results, CKM syndrome staging and in-hospital outcomes were recorded.Results:Among the 2 993 patients with AMI, the CKM syndrome stage 0 was in 23 cases (0.77%), stage 1 in 35 cases (1.17%), stage 2 in 2 015 cases (67.32%), stage 3 to 4 in 920 cases (30.74%). The male proportion, high density lipoprotein-cholesterol (HDL-C) and neutrophil-to-lymphocyte ratio in patients with CKM syndrome stage 0 and 1 were significantly higher than those in patients with CKM syndrome stage 2 and 3 to 4, the hypertension proportion, diabetes proportion, chronic kidney disease proportion, triglyceride (TG), glycated hemoglobin (HbA 1c) and creatinine were significantly lower than those in patients with CKM syndrome 2 stage 3 to 4, and there were statistical differences ( P<0.05); the body mass index (BMI) and non-ST-elevation myocardial infarction (NSTEMI) proportion in patients with CKM syndrome stage 0 were significantly lower than those in patients with CKM syndrome stage 1, 2 and 3 to 4, and there were statistical differences ( P<0.05); the cerebrovascular diseases proportion, Killip stage ≥3 proportion, N-terminal pro-brain natriuretic peptide (NT-proBNP) and left main coronary artery lesions proportion in patients with CKM syndrome stage 0, 1 and 2 were significantly lower than those in patients with CKM syndrome stage 3 to 4, and there were statistical differences ( P<0.05); the global registry of acute coronary events score (GRACE score) in patients with CKM syndrome stage 0 was significantly lower than that in patients with CKM syndrome stage 3 to 4, and there was statistical difference ( P<0.05). Although there were statistical differences in low density lipoprotein-cholesterol (LDL-C) and number of blood vessels involved among the four groups ( P<0.05), but pairwise comparisons showed no statistically significant differences ( P>0.05). There were no statistical differences in age, smoking history, hyperlipidemia, high-sensitivity C-reactive protein, uric acid, cardiac troponin I (cTnI) peak, left ventricular ejection fraction and left ventricular end-diastolic diameter among the four groups ( P>0.05). The incidence of in-hospital major adverse coronary events (MACE) was 10.76% (322/2 993). Among them, the incidence of MACE, all-cause mortality and longer length of stay in patients with CKM syndrome stage 0, 1 and 2 were significantly lower than those in patients with CKM syndrome stage 3 to 4: 4.35% (1/23), 8.57% (3/35) and 8.59% (173/2 015) vs. 15.76% (145/920), 0, 2.86% (1/35) and 2.38% (48/2 015) vs. 4.78% (44/920), (8.17 ± 3.87), (8.15 ± 5.32) and (8.89 ± 6.42) d vs. (9.81 ± 9.29) d, and there were statistical differences ( P<0.05); the incidences of acute kidney injury and atrial fibrillation in patients with CKM syndrome stage 0 and 1 were significantly lower than those in patients with CKM syndrome stage 2 and 3 to 4: 8.70% (2/23) and 8.57% (3/35) vs. 24.17% (487/2 015) and 34.35% (316/920), 0 and 0 vs. 3.52% (71/2 015) and 10.00% (92/920), and there were statistical differences ( P<0.05); there were no statistical differences in the incidences of ventricular tachycardia/ventricular fibrillation, cardiac arrest, mechanical complications and mechanical circulatory support among the four groups ( P>0.05). Conclusions:The severity of CKM syndrome is closely related to the occurrence of AMI. CKM patients with higher CKM stages have more severe AMI and poorer in-hospital prognosis. CKM syndrome staging can serve as a potential prognostic indicator for AMI patients.

Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.

Objective To investigate the clinical application of ceftazidime/avibactam(CAZ/AVI)in lung trans-plant recipients with pulmonary infection caused by carbapenem-resistant Gram-negative bacilli(CRGNB),and ana-lyze the factors affecting the prognosis.Methods Lung transplant recipients who had CRGNB pulmonary infection and were treated with CAZ/AVI were included in the analysis.Based on 14-day clinical response,14-day microbial response,and 30-day survival status,the recipients were divided into a clinical response group and a clinical failure group,a microbial response group and a microbial failure group,as well as a survival group and a death group,re-spectively.Univariate analysis was conducted on various data from the two groups.Factors affecting therapeutic ef-ficacy and survival were included in a binary logistic regression model.Independent risk factors for CAZ/AVI anti-infective efficacy and all-cause mortality outcomes were analyzed.Results A total of 43 recipients were included.After 14-day anti-infective treatment,32 recipients(74.42％)achieved clinical response,and 30 recipients(69.77％)achieved microbial response.34 recipients(79.07％)survived 30 days after CAZ/AVI treatment.The Charlson comorbidity index(CCI),proportion of renal dysfunction,and incidence of shock in recipients in the clini-cal response group were all lower than those in the clinical failure group(P＜0.05),while the serum albumin(ALB)level was higher(P＜0.05).The incidence of shock in recipients in the microbial response group was lower than that in the microbial failure group(P＜0.05).CCI,proportion of renal dysfunction,and incidence of shock in recipients in the survival group were all lower than those in the death group(all P＜0.05),while ALB level was higher during treatment period(P＜0.05).Multivariate analysis of 14-day clinical response and 30-day survival showed that higher CCI was an independent risk factor affecting 14-day clinical response of recipients(OR=2.22,95％CI:1.07-4.63),while lower ALB levels(OR=0.72,95％CI:0.54-0.98)and higher CCI(OR=5.27,95％CI:1.18-23.58)were independent risk factors for 30-day all-cause mortality in recipients with pulmonary in-fection after lung transplant.Conclusion CAZ/AVI may be an effective drug for treating pulmonary infection caused by CRGNB in lung transplant recipients.Higher CCI is an independent risk factor for 14-day clinical failure in recipients after CAZ/AVI treatment.Lower ALB level and higher CCI are independent risk factors for increased 30-day mortality in recipients.

Objective:To investigate altered neurovascular coupling in patients with depression(DEP)using resting-state functional magnetic resonance imaging(MRI)and arterial spin labeling perfusion MRI,as well as its association with depressive symptoms.Methods:Neuropsychological assessment and multimodal MRI scans were performed for 25 DEP patients and 35 healthy controls(HCs).Arterial spin labeling perfusion MRI was used to calculate cerebral blood flow(CBF),and functional MRI was used to calculate regional homogeneity(ReHo).The Pearson correlation coefficient between CBF and ReHo was calculated to obtain neurovascular cou-pling.Results:At the whole-brain level,CBF-ReHo coupling was reduced in DEP patients compared with HCs.At the brain region level,CBF-ReHo coupling was reduced in 26 brain regions in DEP patients,which were mainly located in the visual network,the default network,and the auditory network.The correlation analysis showed that the coupling values of the left suboccipital gyrus,the left angular gyrus,and the left thalamus were negatively correlated with Hamilton Depression Scale score.Conclusion:There is a sig-nificant reduction in neurovascular coupling in DEP patients,which is correlated with the severity of DEP.

Objective:To investigate the staging of cardiovascular-kidney-metabolic (CKM) syndrome before onset, and to analyze its impact on short-term prognosis in patients with acute myocardial infarction (AMI).Methods:The clinical data of 2 993 patients with AMI from January 2017 to December 2023 in Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The basic information, baseline data, in-hospital data, cardiac-related examination results, CKM syndrome staging and in-hospital outcomes were recorded.Results:Among the 2 993 patients with AMI, the CKM syndrome stage 0 was in 23 cases (0.77%), stage 1 in 35 cases (1.17%), stage 2 in 2 015 cases (67.32%), stage 3 to 4 in 920 cases (30.74%). The male proportion, high density lipoprotein-cholesterol (HDL-C) and neutrophil-to-lymphocyte ratio in patients with CKM syndrome stage 0 and 1 were significantly higher than those in patients with CKM syndrome stage 2 and 3 to 4, the hypertension proportion, diabetes proportion, chronic kidney disease proportion, triglyceride (TG), glycated hemoglobin (HbA 1c) and creatinine were significantly lower than those in patients with CKM syndrome 2 stage 3 to 4, and there were statistical differences ( P<0.05); the body mass index (BMI) and non-ST-elevation myocardial infarction (NSTEMI) proportion in patients with CKM syndrome stage 0 were significantly lower than those in patients with CKM syndrome stage 1, 2 and 3 to 4, and there were statistical differences ( P<0.05); the cerebrovascular diseases proportion, Killip stage ≥3 proportion, N-terminal pro-brain natriuretic peptide (NT-proBNP) and left main coronary artery lesions proportion in patients with CKM syndrome stage 0, 1 and 2 were significantly lower than those in patients with CKM syndrome stage 3 to 4, and there were statistical differences ( P<0.05); the global registry of acute coronary events score (GRACE score) in patients with CKM syndrome stage 0 was significantly lower than that in patients with CKM syndrome stage 3 to 4, and there was statistical difference ( P<0.05). Although there were statistical differences in low density lipoprotein-cholesterol (LDL-C) and number of blood vessels involved among the four groups ( P<0.05), but pairwise comparisons showed no statistically significant differences ( P>0.05). There were no statistical differences in age, smoking history, hyperlipidemia, high-sensitivity C-reactive protein, uric acid, cardiac troponin I (cTnI) peak, left ventricular ejection fraction and left ventricular end-diastolic diameter among the four groups ( P>0.05). The incidence of in-hospital major adverse coronary events (MACE) was 10.76% (322/2 993). Among them, the incidence of MACE, all-cause mortality and longer length of stay in patients with CKM syndrome stage 0, 1 and 2 were significantly lower than those in patients with CKM syndrome stage 3 to 4: 4.35% (1/23), 8.57% (3/35) and 8.59% (173/2 015) vs. 15.76% (145/920), 0, 2.86% (1/35) and 2.38% (48/2 015) vs. 4.78% (44/920), (8.17 ± 3.87), (8.15 ± 5.32) and (8.89 ± 6.42) d vs. (9.81 ± 9.29) d, and there were statistical differences ( P<0.05); the incidences of acute kidney injury and atrial fibrillation in patients with CKM syndrome stage 0 and 1 were significantly lower than those in patients with CKM syndrome stage 2 and 3 to 4: 8.70% (2/23) and 8.57% (3/35) vs. 24.17% (487/2 015) and 34.35% (316/920), 0 and 0 vs. 3.52% (71/2 015) and 10.00% (92/920), and there were statistical differences ( P<0.05); there were no statistical differences in the incidences of ventricular tachycardia/ventricular fibrillation, cardiac arrest, mechanical complications and mechanical circulatory support among the four groups ( P>0.05). Conclusions:The severity of CKM syndrome is closely related to the occurrence of AMI. CKM patients with higher CKM stages have more severe AMI and poorer in-hospital prognosis. CKM syndrome staging can serve as a potential prognostic indicator for AMI patients.

Objective To explore the effects of Shuanglu Tongnao Formula on neuroinflammation in ischemic stroke (IS) rats via the P2X purinoceptor 7 receptor (P2X7R)/NLR family pyrin domain-containing 3 (NLRP3) pathway. Methods The rats were divided into five groups: the IS group, control group, Shuanglu Tongnao Formula group, P2X7R inhibitor brilliant blue G (BBG) group, and Shuanglu Tongnao Formula combined with P2X7R activator adenosine triphosphate (ATP) group, with 18 rats in each group. Except for the control group, rats in all other groups were used to construct an IS model using the suture method. After successful modeling, the drug was given once a day for 2 weeks. Neurological function scores and cerebral infarction volume ratios were measured in rats. Pathological examination of the ischemic penumbra brain tissue was performed. Immunofluorescence staining was used to quantify the proportions of microglia co-expressing both inducible nitric oxide synthase (iNOS) and ionized calcium-binding adapter molecule 1 (Iba1), as well as arginase 1 (Arg1) and Iba1, in the ischemic penumbra brain tissue. ELISA was used to detect tumor necrosis factor-alpha (TNF-α), transforming growth factor-beta (TGF-β), interleukin 6 (IL-6) and IL-10 in the ischemic penumbra brain tissue. Western blotting was used to measure P2X7R, NLRP3, and IL-1β proteins in the ischemic penumbra brain tissue. Results Compared with the control group, the IS group showed disordered neuronal arrangement, nuclear condensation, and obvious infiltration of inflammatory cells in the ischemic penumbra; significantly elevated neurological function scores, cerebral infarction volume ratios, proportions of microglia co-expressing iNOS and Iba1, and levels of TNF-α, IL-6, and P2X7R, NLRP3, IL-1β proteins; along with reduced proportions of microglia co-expressing Arg1 and Iba1 and levels of TGF-β and IL-10. Compared with the IS group, the Zhuang medicine Shuanglu Tongnao Formula and BBG groups demonstrated alleviated brain tissue damage; reduced neurological function scores, cerebral infarction volume ratios, proportions of microglia co-expressing iNOS and Iba1, and levels of TNF-α, IL-6, and P2X7R, NLRP3, IL-1β proteins; along with increased proportions of microglia co-expressing Arg1 and Iba1 and levels of TGF-β and IL-10. ATP reversed the effects of Zhuang medicine Shuanglu Tongnao Formula on microglial polarization and neuroinflammation in IS rats. Conclusion Zhuang medicine Shuanglu Tongnao Formula may promote the transformation of microglia from M1 type to M2 type by inhibiting the P2X7R/NLRP3 pathway, thereby improving neuroinflammation in IS rats.
Animals ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism* ; Receptors, Purinergic P2X7/metabolism* ; Male ; Drugs, Chinese Herbal/pharmacology* ; Rats ; Ischemic Stroke/pathology* ; Rats, Sprague-Dawley ; Disease Models, Animal ; Signal Transduction/drug effects* ; Neuroinflammatory Diseases/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Nitric Oxide Synthase Type II/metabolism* ; Interleukin-10/metabolism* ; Brain Ischemia/drug therapy* ; Microglia/metabolism*

Objective:To summarize the characteristics and treatment strategies of tissue expander infections in auricular reconstruction using tissue expansion, providing references for the prevention and treatment of expander infections.Methods:A retrospective analysis was conducted on the data of patients who underwent auricular reconstruction using tissue expansion from January 2018 to January 2024 in the Plastic Surgery Hospital of Chinese Academy of Medical Sciences. Patients meeting the inclusion criteria were included in the study. The causes of expander infections were summarized. Infections were categorized based on time periods (perioperative, inflation period, skin expansion period) and severity (mild, severe). The management and healing outcomes of different types of expander infections were recorded and their incidence rates were calculated. Descriptive statistical method were employed for analysis.Results:A total of 39 patients were included, with 25 males (64.1%) and 14 females (35.9%). The age was (8.2 ±1.9) years (range 5-13 years). Regarding infection causes, folliculitis of the expanded flap was noted in 9 cases (23.1%), inflation procedures in 10 cases (25.6%), insect bites in 2 cases (5.1%), and no obvious cause in 18 cases (46.2%). Perioperative infections occurred in 3 cases (7.7%), inflation period infections in 30 cases (76.9%), and skin expansion period infections in 6 cases (15.4%). Mild infections were present in 21 cases (53.8%) and severe infections in 18 cases (46.2%). After successful treatment of expander infections, 34 patients (87.2%) completed the second stage of reconstruction, while the remaining 5 cases(12.8%) had the expander removed and received ear reconstruction six months later.Conclusion:Infections of expanders during auricular reconstruction using tissue expansion are more common during the inflation period. Early management of potential causes of expander infections can reduce the risk of infection.