OBJECTIVE To investigate the ameliorative effect of Pinelliae Rhizoma Praeparatum Cum Alumine and its effective components on inflammatory response in mice with acute lung injury(ALI).METHODS A mice model of acute lung injury induced by lipopolysaccharide(LPS)was used as the in vivo animal model.The levels of inflammatory factors TNF-α,IL-6,and IL-1β,the total protein concentration,the number of inflammatory cells in bronchoalveolar lavage fluid,the ratio of lung wet weight to dry weight,and the pathological damage of lung tissues were taken as the evaluation indexes.RAW264.7 macrophages induced by LPS were used as the in vitro experimental model,with the mRNA levels of intracellular inflammatory factors TNF-α,IL-1β,and IL-6 as indicators,systematic solvent extraction and silica gel column chromatography were used to separate and screen the effective parts and components of Pinelliae Rhizoma Praeparatum Cum Alumine for treating acute lung injury.The component composition of the effective fractions was analyzed by mass spectrometry,the content of cyclic dipeptide components in the effective fraction was determined,and the anti-in-flammatory activity of cyclic dipeptides was verified in vitro.RESULTS The ethyl acetate extraction fraction obtained by extracting the supernatant of water extraction and ethanol precipitation of Pinelliae Rhizoma Praeparatum Cum Alumine(referred to as the ethyl acetate fraction for short)significantly improved the inflammatory response in mice with acute lung injury and significantly reduced the mRNA levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.The Fr.1 fraction isolated from the ethyl acetate frac-tion by silica gel column chromatography had anti-inflammatory effects in vitro.Mass spectrometry determined the content of two main cyclic dipeptide components,cyclo-(Pro-Phe)and cyclo-(Pro-Val),in the Fr.1 fraction.After mixing these two cyclic dipeptide components in the molar ratio in the Fr.1 fraction and administering them in vitro,the results showed that the combination of these two cyclic dipeptide components could significantly inhibit the mRNA expression levels of TNF-α,IL-1β,and IL-6 in RAW264.7 cells induced by LPS.CONCLUSION Cyclic dipeptide component is one of the main material basis categories for the anti-inflammatory effect of Pinelliae Rhizoma Praeparatum Cum Alumine.

The development of malignant tumors is influenced by multiple factors,including genetics,environment,lifestyle,and pathogen infection.Viral infection plays a significant role in tumor development and progression.This article integrates the common pathways of seven oncogenic viruses(HPV,EBV,HBV,HCV,KSHV,HTLV-1,and HIV)based on the theory of cancer toxin pathomechanism.The findings reveal that cancer toxin formation is influenced by both internal factors(healthy qi deficiency,viscus dysfunction,and qi,blood,and body fluid stagnation)and external factors(viral infection,environmental factors,and the six exogenous pathogens),driving tumor development,metastasis,and recurrence.Viral infection not only provides the material foundation for cancer toxin but also accelerates its maturation and spread through chronic inflammation and immune imbalance,forming a complex pathogen-esis of"viral toxicity-endogenous cancer toxin",which translates into a three-stage strategy of"prevention,treatment,and post-recovery prevention".This article systematically discusses the pathogenesis of major cancer toxins and their associated tumors.Inte-grating the cancer toxin theory,the article explores preventive and therapeutic strategies for virus-associated malignancies,providing a theoretical basis and practical reference for the integrated prevention and treatment of tumors using traditional Chinese and Western medicine.

Objective:To analyze the risk factors and prognosis of pyogenic liver abscess (PLA) complicated with myocardial injury.Methods:A retrospective selection was made of 108 PLA patients treated in Beijing Friendship Hospital from January 2016 to June 2022 as the research subjects. Patients were divided into the myocardial injury group and non-myocardial injury group according to the occurrence of myocardial injury. Baseline characteristics, laboratory test data, imaging and etiological examination results, echocardiographic indicators, and prognosis were compared between the two groups. A logistic regression model was used to identify the risk factors for PLA complicated with myocardial injury.Results:Among the 108 PLA patients, 24 cases (22.2%) were complicated with myocardial injury. The age of the myocardial injury group was (71±13)years, which was significantly higher than that of the non-myocardial injury group [(59±14)years, P<0.05]. The levels of neutrophil ratio, C-reactive protein (CRP), procalcitonin (PCT), aspartate transaminase (AST), and D-dimer in the myocardial injury group were significantly higher than those in the non-myocardial injury group, while the levels of platelet count (PLT) and albumin (ALB) were significantly lower, with statistically significant differences (all P<0.05). In terms of blood culture, the positive detection rate in the myocardial injury group was as high as 54.2%(13/24), among which the detection rate of Klebsiella pneumoniae was 41.7%(10/24); the positive rate of blood culture in the non-myocardial injury group was only 17.9%(15/84), and the detection rate of Klebsiella pneumoniae was 14.3%(12/84), with statistically significant differences (all P<0.05). The left ventricular ejection fraction in the myocardial injury group was lower than that in the non-myocardial injury group, and the brain natriuretic peptide (BNP) level, the incidence of left ventricular diastolic dysfunction, the proportion of transfer to emergency intensive care unit (EICU), shock, and death were significantly higher than those in the non-myocardial injury group (all P<0.05). Logistic regression analysis showed that age was an independent risk factor for myocardial injury in PLA patients ( P<0.05), and for each 1-year increase in age, the risk of myocardial injury increased by 11.9%. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of age for myocardial injury, with an area under the curve (AUC) of 0.729( P<0.05), and the cut-off value calculated by Youden index was 64.5 years. Conclusions:Age is an independent risk factor for myocardial injury in PLA patients. PLA patients complicated with myocardial injury have poor cardiac function, higher incidence of transfer to EICU, shock, and death, and poor prognosis.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To analyze the correlation between mental health status and metabolic syndrome (MetS) in health checkup people.Methods:It was a cross-sectional study, 2 920 participants who received health checkup in the Health Examination Center of Peking University Third Hospital from January 2019 to December 2023 were selected using cluster sampling method. Their general information, physical examination, biochemical indicators, body composition, and self-evaluation scores on the Symptom Checklist-90 (SCL-90) were collected. According to the inclusion and exclusion criteria, a total of 2 813 study subjects were included, and divided into the MetS group and the non-MetS group based on whether they had MetS. The differences in general demographic information, body composition, blood biochemistry, and SCL-90 scores between the two groups were compared. Binary Logistic regression analysis was used to explore the correlation between mental health status and MetS.Results:Of the 2 813 subjects included, 1 576 were males (56.0%) and 1 237 were females (44.0%), with an average age of (41.7±11.0) years, the MetS group had 586 cases (20.8%) and the non-MetS group had 2 227 cases (79.2%). The MetS group had higher levels of age, body mass index, waist circumference, systolic blood pressure, diastolic blood pressure, total cholesterol, triglycerides, low density lipoprotein cholesterol (LDL-C), fasting blood glucose, glycosylated hemoglobin (HbA 1c), free thyroxine(FT4), total triiodothyronine (TT3), free triiodothyronine (FT3), waist-to-hip ratio, visceral fat area, body fat percentage, uric acid/creatinine, homocysteine (Hcy), aspartate aminotransferases (AST), and alanine transaminase (ALT) levels, as well as higher scores for somatization, hostility, paranoia, and other factor compared to the non-MetS group (all P<0.05), while high density lipoprotein cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) levels were lower than those in the non-MetS group (all P<0.05). The proportion of male, and the positive rates of SCL-90, somatization, interpersonal sensitivity, hostility, paranoia and other factor in the MetS group were higher than those in the non-MetS group (all P<0.05). Multifactorial analysis showed that individuals with a positive SCL-90 assessment had a 1.34 times higher risk of MetS than those with a negative assessment ( OR=1.34, 95% CI: 1.06-1.68; P=0.014). Among them, individuals with positive somatization ( OR=2.02, 95% CI: 1.25-3.28; P=0.004) and hostility ( OR=1.61, 95% CI: 1.02-2.56; P=0.042) had increased risk of MetS. Conclusion:Poor mental health status increases the risk of MetS.

Objective:To investigate the plasma level of interleukin(IL)-37 and assess its regulatory effects on monocyte activity in type 1 diabetes mellitus(T1DM) patients.Methods:This prospective study included 57 T1DM patients and 21 healthy controls who were continuously enrolled from December 2022 to January 2024 at Xinxiang Central Hospital. Plasma and peripheral blood mononuclear cells were isolated. IL-37 and soluble interleukin 1 receptor 8(IL-1R8) levels were measured by enzyme-linked immunosorbent assay(ELISA). Levels of IL-37 receptor subunits in monocytes were analyzed via flow cytometry. Purified monocytes were stimulated with recombinant IL-37 and co-cultured with a human pancreatic β-cell line to assess cytotoxicity, measured by target cell death and cytokine levels. Additionally, monocytes were co-cultured with autologous CD4 + T cells to evaluate antigen presentation by measuring interferon-γ(IFN-γ) and IL-17A secretion. Results:Plasma IL-37 level and IL-37 receptor subunit expression in monocytes were significantly lower in T1DM patients compared to controls(both P<0.001). However, there was no significant difference in soluble IL-1R8 levels between the groups( P=0.457). Monocytes from T1DM patients exhibited increased cytotoxicity, as indicated by higher target cell death and elevated levels of granzyme A, granzyme B, granzyme H, IL-1β, IL-6, and tumor necrosis factor-α( P<0.05). Additionally, monocyte-induced secretion of IFN-γ and IL-17A by CD4 + T cells was elevated in T1DM patients(all P<0.05). Stimulation of T1DM monocytes with recombinant IL-37 reduced target cell death and decreased granzyme B secretion compared to unstimulated monocytes(both P<0.05). However, IL-37 stimulation had no significant effect on other cytokine levels or monocyte-induced IFN-γ and IL-17A secretion( P>0.05). Conclusions:Monocytes exhibit enhanced cytotoxicity and antigen-presenting capacity in T1DM patients. IL-37 reduces monocyte cytotoxicity by inhibiting granzyme B secretion, but does not affect antigen presenting function in T1DM.

Objective To investigate the clinical value of serum leucine-rich α-2-glycoprotein 1(LRG1),uncoupling protein 2(UCP2)and sestrin2 in evaluating the cognitive status and prognosis of patients with acute ischemic stroke(AIS).Methods A total of 164 AIS patients who were treated and hospitalized in the Department of Neurology of our hospital from April 2020 to May 2023 were selected as the study subjects.According to the Chinese version of the Montreal cognitive assessment scale(MoCA),the patients were divided into cognitive impairment group and non-cognitive impairment group.The levels of serum LRG1,UCP2 and Sestrin2 were compared between the two groups.Pearson correlation analysis was used to test the correlation between serum LRG1,UCP2 and Sestrin2 and MoCA score.After discharge,the patients were followed up for 3 months.The mRS was used to divide the patients into poor prognosis group and good prognosis group.The data and serum levels of LRG1,UCP2 and Sestrin2 were compared between the two groups.Multivariate Logistic regression analysis was used to explore the prognostic factors of AIS patients.ROC curve was constructed to evaluate the predictive efficacy of serum LRG1,UCP2 and Sestrin2 alone and in combination on cognitive status and prognosis of AIS patients.Results There were 115 cases in the non-cognitive impairment group and 49 cases in the cognitive impairment group.The serum levels of LRG1 and UCP2 in the non-cognitive impairment group were significantly higher than those in the cognitive impairment group,while the Sestrin2 level was significantly lower than that in the cognitive impairment group(all P＜0.05).Serum LRG1 and UCP2 levels were positively correlated with MoCA score,while Sestrin2 level was negatively correlated with MoCA score(all P＜0.05).The area under the curve(AUC)of serum LRG1,UCP2 and Sestrin2 in cognitive status of AIS patients was 0.723,0.689 and 0.789,respectively,while the AUC of the combined detection of the three reached 0.892,and the 95％CI of the AUC of all indicators did not contain 0.5(all P＜0.05).There were 134 cases in the good prognosis group and 30 cases in the poor prognosis group.The NIHSS score,mRS score and Sestrin2 level in the good prognosis group were significantly lower than those in the poor prognosis group,while the MoCA score,LRG1 and UCP2 levels were significantly higher than those in the poor prognosis group(all P＜0.05).The increase of NIHSS score(OR=1.419),mRS score(OR=1.153)and serum Sestrin2 level(OR=1.462)were risk factors affecting the prognosis of AIS patients,while the increase of MoCA score(OR=0.657),serum LRG1 level(OR=0.756)and UCP2 level(OR=0.733)were protective factors affecting the prognosis of AIS patients(all P＜0.05).From the AUC value,the combination of the three(0.899)was significantly higher than Sestrin2(0.755),LRG1(0.730)and UCP2(0.712).The combination of sensitivity,specificity and Youden index was also significantly higher than other single indicators(all P＜0.05).Conclusion The combined detection of serum LRG1,UCP2 and Sestrin2 shows higher efficiency than single detection in the evaluation of cognitive status and prognosis of AIS patients,and its AUC,sensitivity,specificity and other indicators are better,providing more accurate and reliable evaluation basis for clinical practice.

OBJECTIVE To investigate the inhibitory effect mechanism of Anzheng Kangliu Decoction against colorectal cancer by suppressing glycolysis through regulation of the phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR)signaling pathway.METHODS Human colorectal cancer SW620 cells were treated with Anzheng Kangliu De-coction,and cell proliferation and migration abilities were assessed.Forty-two BALB/c nude mice were randomly divided into a blank control group,model group,5-fluorouracil(5-FU)group(0.025 g·kg-1),Anzheng Kangliu Decoction low-dose group(7.67 g·kg-1),medium-dose group(15.34 g·kg-1),and high-dose group(30.68 g·kg-1).The inhibitory effect of Anzheng Kan-gliu Decoction on subcutaneous xenograft tumors was evaluated by observing body weight,tumor volume,tumor mass,HE staining,im-munohistochemical staining of Ki67 and other indicators.High-throughput transcriptome sequencing was performed to identify differen-tially expressed genes and pathways in tumor tissues between the model group and the Anzheng Kangliu Decoction medium-dose group,elucidating the potential mechanism of Anzheng Kangliu Decoction against colorectal cancer.Glucose and lactate assay kits were used to measure glucose consumption and lactate production in SW620 cells and tumor tissues after Anzheng Kangliu Decoction intervention.Western blot was employed to detect the expression levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR,hexokinase 2(HK2),and lactate dehydrogenase A(LDHA)in SW620 cells and tumor tissues following Anzheng Kangliu Decoction treatment.RE-SULTS In vitro cell experiments demonstrated that,compared with the blank control group,Anzheng Kangliu Decoction intervention significantly inhibited the proliferation and migration of SW620 cells(P<0.01),reduced glucose consumption and lactate production(P<0.05,P<0.01),and downregulated the protein expression levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR,HK2,and LDHA(P<0.05,P<0.01).In vivo animal experiments revealed that,compared with the model group,Anzheng Kangliu Decoction suppressed the growth of subcutaneous xenograft tumors in nude mice(P<0.01),increased tumor tissue necrosis,decreased glucose consumption and lactate production in tumor tissues(P<0.05,P<0.01),and reduced the protein expression levels of p-PI3K/PI3K,p-Akt/Akt,p-mTOR/mTOR,HK2,and LDHA(P<0.05,P<0.01).CONCLUSION Anzheng Kangliu Decoction exerts an in-hibitory effect on colorectal cancer,and its mechanism may be associated with the suppression of glycolysis through regulation of the PI3K/Akt/mTOR signaling pathway.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.