PURPOSE: Early mortality in major trauma has decreased, but MODS remains a leading cause of poor outcomes, driven by trauma-induced cytokine storms that exacerbate injuries and organ damage. METHODS: This prospective cohort study included 79 major trauma patients (ISS >15) treated in the National Center for Trauma Medicine, Peking University People's Hospital, from September 1, 2021, to July 31, 2023. Patients (1) with ISS >15 (according to AIS 2015), (2) aged 15-80 years, (3) admitted within 6 h of injury, (4) having no prior treatment before admission, were included. Exclusion criteria were (1) GCS score <9 or AIS score ≥3 for TBI, (2) confirmed infection, infectious disease, or high infection risk, (3) pregnancy, (4) severe primary diseases affecting survival, (5) recent use of immunosuppressive or cytotoxic drugs within the past 6 months, (6) psychiatric patients, (7) participation in other clinical trials within the past 30 days, (8) patients with incomplete data or missing blood samples. Admission serum inflammatory cytokines and pathophysiological data were analyzed to develop machine learning models predicting MODS within 7 days. LR, DR, RF, SVM, NB, and XGBoost were evaluated based on the area under the AUROC. The SHAP method was used to interpret results. RESULTS: This study enrolled 79 patients with major trauma, and the median (Q₁, Q₃) age was 51 (35, 59) years (52 males, 65.8%). The inflammatory cytokine data were collected for all participants. Among these patients, 35 (44.3%) developed MODS, and 44 (55.7%) did not. Additionally, 2 patients (2.5%) from the MODS group succumbed. The logistic regression model showed strong performance in predicting MODS. Ten key cytokines, IL-18, Eotaxin, MCP-4, IP-10, CXCL12, MIP-3α, MCP-1, IL-1RA, Cystatin C, and MRP8/14 were identified as critical to the trauma-induced cytokine storm and MODS development. Early elevation of these cytokines achieved high predictive accuracy, with an AUROC of 0.887 (95% CI 0.813-0.976). CONCLUSION Trauma-induced cytokine storms are strongly associated with MODS. Early identification of inflammatory cytokine changes enables better prediction and timely interventions to improve outcomes.
Humans ; Prospective Studies ; Middle Aged ; Male ; Female ; Adult ; Aged ; Cytokine Release Syndrome/etiology* ; Adolescent ; Young Adult ; Aged, 80 and over ; Wounds and Injuries/complications* ; Cytokines/blood* ; Multiple Organ Failure/diagnosis* ; Machine Learning

Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95％CI:1.11～9.48),high modified Fisher grade(OR:3.66,95％CI:1.08～12.35),shunt dependence(OR:15.56,95％CI:1.22～198.57),and cerebral vasospasm(OR:22.24,95％CI:3.08～160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95％CI:0.40～0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95％CI:0.935～0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95％CI:0.904～0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.

Objective To assess the value of MSCT in the follow-up of patients with small hepatocelluar carcinoma(sHCC) treated with RFA. Methods Twenty-eight patients with sHCC underwent MSCT scanning 1, 3 and 6 months after RFA. Results One month after RFA, 25 tumors were completely necrotized, among which 19 presented no enhancement on dual-phase contrast CT scans and 6 showed thin ring-shaped enhancement on artery-phase contrast. Three cases with residual tumor manifested as nodular enhancement in margin of lesion. Three and 6 months after RFA, all 25 tumors, which were completely necrotized, became small and presented no enhancement. New tumors were found in the liver in 2 cases six months after RFA. Conclusion RFA is an effective therapeutic method for sHCC, and MSCT dual-phase enhanced scanning is a good way for evaluating the curative effect and follow-up.

Objective To evaluate 18F-FDG hPET/CT in the diagnosis of postoperative recurrence and metastasis of colorectal cancer. Methods GE HAWKEYE coincidence SPECT was carried out in 81 colorectal cancer patients with suspected recurrence or metastasis after intravenous injection of 259 ~ 298 MBq (7-8 mCi) 18F-FDG. The acquired data were reconstructed using iterative algorithm and attenuation-corrected X-ray. The results were compared with the final diagnosis established by histological examination of resected specimens、and clinical follow-up. Results The sensitivity, specificity, positive predictive value (PPV)and negative predictive value(NPV)was 93% (57/61)、80% (16/20)、93% (57/61)、80% (16/20) for 18F-FDG hPET/CT respectively. For conventional CT the sensitivity, specificity, PPV and NPV was 67% (37/55)、73% (19/26)、84% (37/44)、51% (19/37) respectively; 18F-FDG hPET/CT detected 91 recurrent or metastatic lesions whereas only 46 lesions were detected by conventional CT in 65 patients. Conclusions 18 F-FDG hPET/CT has unique value in the diagnosis of recurrence and metastasis in postoperative colorectal cancer patients which was superior to conventional CT. Combined 18 F-FDG coincidence imaging with localizing CT improves the detection and localization of postoperative recurrence and/or metastasis in colorectal cancer patients.