Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

Objective To explore the peak moment characteristics of lower limb joints,as well as the contribution rate and compensation mechanism of lower limb joints when older adults with a history of falls cross obstacles at different paces.Methods Thirty healthy older adults and 30 eldely fallers were recruited.The Qualisys infrared high-speed motion capture system and the Kistler three-dimensional force platform were used to collect the biomechanical data of the older adults when they crossed an obstacle with a height of 15％of their height at three walking speeds(1.05,1.41,1.74 m/s).The data were then modeled and analyzed using Visual 3D software.Results As walking speed increased,the peak knee extension moment,peak ankle plantar flexion moment,and double peak value of hip flexion moment in healthy group all increased significantly(P＜0.05).Compared with healthy group,the double peak values of hip flexion moment in faller group were significantly smaller than those in healthy group(P＜0.05).During walking at moderate speed,the contribution rate of the left hip joint in faller group was significantly higher than that of healthy group(P=0.025),while the contribution rate of the ankle joint was significantly lower(P=0.044).The margin of stability in the anterior-posterior direction at the moment of ground contact of the stance leg and the stride leg increased with walking speed(P=0.007,P=0.002).Conclusions Compared with healthy older adults,the elderly fallers have lower peak torque,peak ground reaction force,and dynamic stability in the anterior-posterior direction.As the walking speed increases,the mechanical parameters and the margin of stability of older adults increase significantly,and walking stability is improved.Compared with healthy older adults,elderly fallers usually rely more on the contribution of hip joint movements and reduce the involvement of ankle joints.It is recommended to incorporate fast walking exercises into the daily fall prevention exercise program for older adults,with combination of coordinated training of the hip,knee,and ankle joints.

Objective To explore the peak moment characteristics of lower limb joints,as well as the contribution rate and compensation mechanism of lower limb joints when older adults with a history of falls cross obstacles at different paces.Methods Thirty healthy older adults and 30 eldely fallers were recruited.The Qualisys infrared high-speed motion capture system and the Kistler three-dimensional force platform were used to collect the biomechanical data of the older adults when they crossed an obstacle with a height of 15％of their height at three walking speeds(1.05,1.41,1.74 m/s).The data were then modeled and analyzed using Visual 3D software.Results As walking speed increased,the peak knee extension moment,peak ankle plantar flexion moment,and double peak value of hip flexion moment in healthy group all increased significantly(P＜0.05).Compared with healthy group,the double peak values of hip flexion moment in faller group were significantly smaller than those in healthy group(P＜0.05).During walking at moderate speed,the contribution rate of the left hip joint in faller group was significantly higher than that of healthy group(P=0.025),while the contribution rate of the ankle joint was significantly lower(P=0.044).The margin of stability in the anterior-posterior direction at the moment of ground contact of the stance leg and the stride leg increased with walking speed(P=0.007,P=0.002).Conclusions Compared with healthy older adults,the elderly fallers have lower peak torque,peak ground reaction force,and dynamic stability in the anterior-posterior direction.As the walking speed increases,the mechanical parameters and the margin of stability of older adults increase significantly,and walking stability is improved.Compared with healthy older adults,elderly fallers usually rely more on the contribution of hip joint movements and reduce the involvement of ankle joints.It is recommended to incorporate fast walking exercises into the daily fall prevention exercise program for older adults,with combination of coordinated training of the hip,knee,and ankle joints.

Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

Objective:To investigate the risk factors associated with mortality in patients with severe traumatic liver injury (TLI) and to establish and validate an early prediction model for mortality.Methods:A retrospective cohort study was conducted to analyze the clinical data of 273 patients with severe TLI admitted to the ICU from the medical information mart for the intensive care-IV (MIMIC-IV) database. The cohort consisted of 176 males and 97 females, with age ranging from 18 to 83 years [35.6 years(25.7,57.5)years]. The patients were divided into two groups based on in-hospital mortality: the survival group (253 patients, 92.7%) and the death group (20 patients, 7.3%). The two groups were compared with regards to gender, age, cause and type of injury, treatment method, massive blood transfusion, comorbidities as well as vital signs and laboratory tests measured within 24 hours of ICU admission. Univariate analysis was used to screen for risk factors associated with mortality in severe TLI patients. Independent risk factors for mortality were determined using multivariate Logistic regression analysis. Lasso regression was used to screen for predictors of mortality, and a nomogram prognostic model was then established through a multivariate Logistic regression analysis. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the discrimination of the model, while the Hosmer-Lemeshow goodness-of-fit test and calibration curve were used to evaluate the calibration of the model. The model′s clinical applicability was evaluated through decision curve analysis (DCA). Internal validation was performed by the 200 Bootstrap samples, and external validation was performed by using 163 patients with severe TLI from the emergency ICU collaborative research database (eICU-CRD). Finally, the predictive efficacy of the nomogram model was compared to other trauma or severity scores.Results:Univariate analysis showed that the age, cause of injury, massive blood transfusion, chronic liver disease and laboratory tests measured within 24 hours of ICU admission, including temperature, systolic blood pressure, diastolic blood pressure, mean arterial pressure, shock index, platelets, red blood cell distribution width (RDW), mean red blood cell hemoglobin concentration (MCHC), blood glucose, blood urea nitrogen, creatinine, anion gap, bicarbonate, prothrombin time (PT), activated partial thromboplastin time (APTT) and international normalized ratio (INR) were associated with the mortality of severe TLI patients ( P<0.05 or 0.01). Multivariate Logistic regression analysis revealed that age ( OR=1.08, 95% CI 1.03, 1.12, P<0.01), body temperature <36 ℃ ( OR=8.00, 95% CI 2.17, 29.53, P<0.01), shock index ( OR=9.59, 95% CI 1.76, 52.18, P<0.01) and anion gap ( OR=1.32, 95% CI 1.15, 1.53, P<0.01) were significantly associated with mortality in severe TLI patients. Lasso regression analysis selected 7 predictors, including age, body temperature<36 ℃, shock index, anion gap, chronic liver disease, creatinine and APTT. Based on these 7 predictors, a nomogram prediction model was developed. The AUC of the nomogram for predicting mortality was 0.96 (95% CI 0.94, 0.99), and the Hosmer-Lemeshow goodness-of-fit test indicated a good fit ( P>0.05). The calibration curve demonstrated excellent consistency between the predicted and actual probabilities, and DCA demonstrated that the model had good clinical net benefit at all risk threshold probability ranges. Internal validation confirmed the stability of the model ( AUC=0.96, 95% CI 0.92, 0.98), and external validation demonstrated good generalization ability ( AUC=0.95, 95% CI 0.91, 0.98). Moreover, the nomogram exhibited superior predictive efficacy compared with injury severity score (ISS), revised trauma score (RTS), trauma injury severity score (TRISS), sequential organ failure score (SOFA), acute physiological score III (APS III), Logistic organ dysfunction score (LODS), Oxford acute severity of illness score (OASIS) and simplified acute physiological score II (SAPS II). Conclusions:Age, body temperature <36 ℃, shock index and anion gap are independent risk factors for mortality in severe TLI patients. A nomogram prognosis model based on 7 predictors, namely age, body temperature <36 ℃, shock index, anion gap, chronic liver disease, creatinine and APTT exhibits good predictive efficacy and robustness, and is contributive to accurately assess the risk of mortality in severe TLI patients at an early stage.

Objective:To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and central lymph node metastasis (CLNM) in patients with cN0 papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of PTMC patients confirmed by surgery and pathology in the 81 st Military Hospital of People′s Liberation Army from 2016 to 2019 were collected, and the relationship between preoperative NLR, PLR levels and postoperative PTMC CLNM were analyzed. Logistic regression analysis was used for multivariate analysis. Receiver operating characteristic (ROC) curve was used to determine the cutoff value of NLR and PLR. The interaction relative excess risk was used to analyze the relationship between NLR, PLR and CLNM. Results:Among 220 patients with cN0 stage PTMC, 92 were CLNM. The ROC curve showed that when the cutoff value of NLR was 2.5 and the cutoff value of PLR was 175, the highest Youden index was 0.318 and 0.264, respectively. NLR and PLR were both related to CLNM ( P<0.05). The tumor long diameter, multifocality, NLR≥2.5 and PLR≥175 were independent impact factors of CLNM ( P<0.05). The results of the interaction showed that the relative excess risk of the interaction was 5.531 (95% CI: 0.160, 10.901, P=0.016), the attribution ratio was 0.512 (95% CI: 0.230, 0.794, P=0.009), and the synergy index was 2.294 (95% CI: 1.492, 4.579, P=0.022), suggested that NLR and PLR had an interactive effect, and these two synergistically promoted CLNM. Conclusions:NLR and PLR are independent risk factors for cN0 stage PTMC CLNM. When NLR≥2.5 and PLR≥175, preventive central lymph node dissection should be routinely performed.

Objective:To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and central lymph node metastasis (CLNM) in patients with cN0 papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of PTMC patients confirmed by surgery and pathology in the 81 st Military Hospital of People′s Liberation Army from 2016 to 2019 were collected, and the relationship between preoperative NLR, PLR levels and postoperative PTMC CLNM were analyzed. Logistic regression analysis was used for multivariate analysis. Receiver operating characteristic (ROC) curve was used to determine the cutoff value of NLR and PLR. The interaction relative excess risk was used to analyze the relationship between NLR, PLR and CLNM. Results:Among 220 patients with cN0 stage PTMC, 92 were CLNM. The ROC curve showed that when the cutoff value of NLR was 2.5 and the cutoff value of PLR was 175, the highest Youden index was 0.318 and 0.264, respectively. NLR and PLR were both related to CLNM ( P<0.05). The tumor long diameter, multifocality, NLR≥2.5 and PLR≥175 were independent impact factors of CLNM ( P<0.05). The results of the interaction showed that the relative excess risk of the interaction was 5.531 (95% CI: 0.160, 10.901, P=0.016), the attribution ratio was 0.512 (95% CI: 0.230, 0.794, P=0.009), and the synergy index was 2.294 (95% CI: 1.492, 4.579, P=0.022), suggested that NLR and PLR had an interactive effect, and these two synergistically promoted CLNM. Conclusions:NLR and PLR are independent risk factors for cN0 stage PTMC CLNM. When NLR≥2.5 and PLR≥175, preventive central lymph node dissection should be routinely performed.

Objective To understand the incidence and risk factors of warfarin related hemorrhagic events during anticoagulation therapy with warfarin in patients with cirrhosis and portal vein thrombosis (PVT)after transjugular intrahepatic portosystemic shunt (TIPS). Methods The patients with liver cirrhosis who were treated with warfarin after TIPS due to portal hypertension were followed up from January 2012 in Xijing Hospital of Digestive Diseases,Air Force Military Medical University. The data of medical records and follow-up records up to the end of December 2015 in patients undergoing TIPS were collected and retrospectively analyzed. Cumulative incidence of hemorrhagic events related to warfarin treatment was calculated by Kaplan-Meier method. The patients were divided into warfarin-related bleeding group (bleeding group ) and non warfarin-related bleeding group (non-bleeding group ). The risk factors of hemorrhagic events related to warfarin treatment were analyzed using Cox regression model and the hazard ratio (HR)and the 95% confidence interval (CI)were calculated. Results A total of 179 patients were enrolled,including 117 males and 62 females with ages of 25-79 years and average age of (52 ± 12)years;the bleeding group comprised 47 patients (26.3%)and the non-bleeding group comprised 132 patients (73.7%). The follow-up time after discharge ranged 1-74 months and the average time was (28 ± 21) months. The average portal pressure gradient dropped from (25.4 ± 5.2)to (8.7 ± 3.7)mmHg before and after TIPS (P＜0.001). The median dose of oral warfarin in patients in the bleeding group was 2.5 (ranged from 2.5 to 3.75)mg and the median INR was 3.12 (ranged from 2.04 to 9.41);the median dose of oral warfarin in patients in the non-bleeding group was 1.8 (ranged from 0.63 to 2.5)mg and the median INR was 1.85 (ranged from 1.5 to 3.38). Fifty eight cases of hemorrhagic events occurred in 47 patients in the bleeding group,including 24 cases of gingival bleeding,16 cases of epistaxis,8 cases of cutaneous purpura, 4 cases of conjunctival hemorrhage,2 cases of hemorrhage of digestive tract,2 cases of intracranial hemorrhage,1 cases of hematuria,and 1 cases of menorrhagia. Nine of the 47 patients in the bleeding group had bleeding from multiple sites. The results of Kaplan-Meier analysis showed that the 1-,2-,3-,4-,5-and 6-year cumulative incidences of hemorrhagic events related to warfarin treatment after operation were 19%,23%,24%,30%,41%,and 45%,respectively. Warfarin was stopped in 11 patients and given at reduced doses in 36 patients among the 47 patients in the bleeding group. After that,43 patients'hemorrhagic symptoms disappeared and 3 patients' symptoms relieved,and then warfarin treatments were continued,except that 1 patient with a long history of hypertension died of intracranial hemorrhage. Multiple Cox regression analysis showed that the baseline serum creatinine level ＞115 μmol/L was an independent risk factor for hemorrhagic events related to warfarin treatment (HR＝1.82,95%CI:1.01-3.28,P＝0.045). Conclusions It is relatively safe for patients with liver cirrhosis and PVT receiving warfarin anticoagulation therapy after TIPS. Elevated serum creatinine is an independent risk factor for hemorrhagic events related to warfarin treatment.

Objective To understand the incidence and risk factors of warfarin related hemorrhagic events during anticoagulation therapy with warfarin in patients with cirrhosis and portal vein thrombosis (PVT)after transjugular intrahepatic portosystemic shunt (TIPS). Methods The patients with liver cirrhosis who were treated with warfarin after TIPS due to portal hypertension were followed up from January 2012 in Xijing Hospital of Digestive Diseases,Air Force Military Medical University. The data of medical records and follow-up records up to the end of December 2015 in patients undergoing TIPS were collected and retrospectively analyzed. Cumulative incidence of hemorrhagic events related to warfarin treatment was calculated by Kaplan-Meier method. The patients were divided into warfarin-related bleeding group (bleeding group ) and non warfarin-related bleeding group (non-bleeding group ). The risk factors of hemorrhagic events related to warfarin treatment were analyzed using Cox regression model and the hazard ratio (HR)and the 95% confidence interval (CI)were calculated. Results A total of 179 patients were enrolled,including 117 males and 62 females with ages of 25-79 years and average age of (52 ± 12)years;the bleeding group comprised 47 patients (26.3%)and the non-bleeding group comprised 132 patients (73.7%). The follow-up time after discharge ranged 1-74 months and the average time was (28 ± 21) months. The average portal pressure gradient dropped from (25.4 ± 5.2)to (8.7 ± 3.7)mmHg before and after TIPS (P＜0.001). The median dose of oral warfarin in patients in the bleeding group was 2.5 (ranged from 2.5 to 3.75)mg and the median INR was 3.12 (ranged from 2.04 to 9.41);the median dose of oral warfarin in patients in the non-bleeding group was 1.8 (ranged from 0.63 to 2.5)mg and the median INR was 1.85 (ranged from 1.5 to 3.38). Fifty eight cases of hemorrhagic events occurred in 47 patients in the bleeding group,including 24 cases of gingival bleeding,16 cases of epistaxis,8 cases of cutaneous purpura, 4 cases of conjunctival hemorrhage,2 cases of hemorrhage of digestive tract,2 cases of intracranial hemorrhage,1 cases of hematuria,and 1 cases of menorrhagia. Nine of the 47 patients in the bleeding group had bleeding from multiple sites. The results of Kaplan-Meier analysis showed that the 1-,2-,3-,4-,5-and 6-year cumulative incidences of hemorrhagic events related to warfarin treatment after operation were 19%,23%,24%,30%,41%,and 45%,respectively. Warfarin was stopped in 11 patients and given at reduced doses in 36 patients among the 47 patients in the bleeding group. After that,43 patients'hemorrhagic symptoms disappeared and 3 patients' symptoms relieved,and then warfarin treatments were continued,except that 1 patient with a long history of hypertension died of intracranial hemorrhage. Multiple Cox regression analysis showed that the baseline serum creatinine level ＞115 μmol/L was an independent risk factor for hemorrhagic events related to warfarin treatment (HR＝1.82,95%CI:1.01-3.28,P＝0.045). Conclusions It is relatively safe for patients with liver cirrhosis and PVT receiving warfarin anticoagulation therapy after TIPS. Elevated serum creatinine is an independent risk factor for hemorrhagic events related to warfarin treatment.