Objective To evaluate the predictive value of different machine learning models constructed in a multicenter environment for potential organ donors and verify their clinical application feasibility. Methods The study included 2 000 inpatients admitted to five domestic tertiary hospitals from January 2020 to December 2023, who met the criteria for potential organ donation assessment. They were randomly divided into a training set and an internal validation set (7∶3). Another 300 similar patients admitted to the First Affiliated Hospital of Harbin Medical University from January 2024 to April 2025 were included as an external validation set. The area under the curve (AUC), sensitivity, specificity, accuracy and F1-score of three models were compared, and the consistency of the potential organ donor determination process was tested. Multivariate logistic regression analysis was used to identify predictive factors of potential organ donors. Decision curve analysis (DCA) was employed to verify the resource efficiency of each model, and the threshold interval and intervention balance point were assessed. Results Apart from age, there were no significant differences in other basic characteristics among the centers (all P>0.05). The consistency of the potential organ donor determination process among researchers in each center was good [all 95% confidence interval (CI) lower limits >0]. In the internal validation set, the XGBoost model had the best predictive performance (AUC=0.92, 95% CI 0.89-0.94) and the best calibration (P=0.441, Brier score 0.099). In the external validation set, the XGBoost model also had the best predictive performance (AUC=0.91, 95% CI 0.88-0.94), outperforming logistic regression and random forest models. Multivariate logistic regression showed that mechanical ventilation had the greatest impact (odds ratio=2.06, 95% CI 1.54-2.76, P<0.001). DCA indicated that the XGBoost model had the highest net benefit in the threshold interval of 0.2-0.6. The “treat all” strategy only had a slight advantage at extremely low thresholds. The recommended threshold interval, which balances intervention costs and clinical benefits, considers ≥50% positive predictive value (PPV) and ≤50 referrals per 100 high-risk patients. Conclusions The XGBoost model established in a multicenter environment is accurate and well-calibrated in predicting potential organ donors. Combined with DCA, it may effectively guide the timing of clinical interventions and resource allocation, providing new ideas for the assessment and management of organ donation after brain death.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To investigate the effect of intradialytic cerebral blood flow (CBF) fluctuation on cognitive decline in middle-aged and elderly maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. MHD patients aged ≥50 years from Beijing Shijitan Hospital were enrolled from January 2023 to June 2023. Middle cerebral artery mean flow velocity (MFV) was serially monitored via transcranial Doppler (TCD) during dialysis sessions. Cognitive function was assessed at baseline and after 12-month follow-up using standardized neuropsychological tests: montreal cognitive assessment (MoCA), auditory verbal learning test (AVLT 5), complex figure test (CFT), trail making test-B (TMT-B), Stroop color and word test (SCWT), and symbol digit modalities test (SDMT). ΔMFV was calculated as pre-to-post dialysis MFV difference. Multivariable linear regression was used to analyze the association of ΔMFV and cognition.Results:A total of 121 MHD patients were recruited with an age of (63.63±8.44) years. There were 97 males (80.2%), and the dialysis vintage was (55.08±54.73) months. Significant intradialytic MFV reductions were observed ( P<0.05). At 12 months, cognitive decline manifested in global cognition (MoCA), memory (CFT-memory), executive function (TMT-B, SCWT-C, SCWT-T), attention (SDMT), visuospatial ability (CFT-copy)(all P<0.05). Multivariable linear regression analysis revealed ΔMFV independently predicted declines in: MoCA ( B=0.066, 95% CI 0.018-0.113, P=0.007), AVLT5 ( B=0.050, 95% CI 0.004-0.097, P=0.035), TMT-B ( B=-1.955, 95% CI -3.453--0.457, P=0.011), SCWT-C ( B=0.298, 95% CI 0.112-0.484, P=0.002), SCWT-T ( B=-1.371, 95% CI -2.303--0.439, P=0.004). Conclusions:Hemodialysis induces acute CBF reductions detectable by TCD. Cumulative intradialytic CBF fluctuations may accelerate cognitive deterioration in middle-aged and elderly MHD populations, particularly affecting memory and executive domains.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To investigate the effect of intradialytic cerebral blood flow (CBF) fluctuation on cognitive decline in middle-aged and elderly maintenance hemodialysis (MHD) patients.Methods:It was a prospective cohort study. MHD patients aged ≥50 years from Beijing Shijitan Hospital were enrolled from January 2023 to June 2023. Middle cerebral artery mean flow velocity (MFV) was serially monitored via transcranial Doppler (TCD) during dialysis sessions. Cognitive function was assessed at baseline and after 12-month follow-up using standardized neuropsychological tests: montreal cognitive assessment (MoCA), auditory verbal learning test (AVLT 5), complex figure test (CFT), trail making test-B (TMT-B), Stroop color and word test (SCWT), and symbol digit modalities test (SDMT). ΔMFV was calculated as pre-to-post dialysis MFV difference. Multivariable linear regression was used to analyze the association of ΔMFV and cognition.Results:A total of 121 MHD patients were recruited with an age of (63.63±8.44) years. There were 97 males (80.2%), and the dialysis vintage was (55.08±54.73) months. Significant intradialytic MFV reductions were observed ( P<0.05). At 12 months, cognitive decline manifested in global cognition (MoCA), memory (CFT-memory), executive function (TMT-B, SCWT-C, SCWT-T), attention (SDMT), visuospatial ability (CFT-copy)(all P<0.05). Multivariable linear regression analysis revealed ΔMFV independently predicted declines in: MoCA ( B=0.066, 95% CI 0.018-0.113, P=0.007), AVLT5 ( B=0.050, 95% CI 0.004-0.097, P=0.035), TMT-B ( B=-1.955, 95% CI -3.453--0.457, P=0.011), SCWT-C ( B=0.298, 95% CI 0.112-0.484, P=0.002), SCWT-T ( B=-1.371, 95% CI -2.303--0.439, P=0.004). Conclusions:Hemodialysis induces acute CBF reductions detectable by TCD. Cumulative intradialytic CBF fluctuations may accelerate cognitive deterioration in middle-aged and elderly MHD populations, particularly affecting memory and executive domains.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Objective To explore the relationship between geriatric nutritional risk index(GNRI)and adverse outcomes in elderly patients undergoing maintenance hemodialysis(MHD).Methods A prospective cohort trial was conducted on 337 MHD patients aged ≥60 years in hemodialysis centers of 11 hospitals in Beijing from April to June 2017.Their baseline data were collected,and they were divided into non-malnutrition(GNRI≥98,226 cases),mild malnutrition(92≤GNRI＜98,81 cases),and major malnutrition groups(GNRI＜92,30 cases).All of them were followed up until June 2018.The endpoint events were all-cause mortality and cardiovascular disease(CVD)mortality.Kaplan-Meier survival analysis was used to compare the cumulative survival rate among the 3 groups.Multivariate Cox regression model was employed to analyze the relationship of GNRI with all-cause and CVD mortality.Results The mild and major malnutrition groups had significantly lower BMI,serum albumin level and GNRI(P＜0.01).During the median follow-up of 52(4.4-52.0)weeks,56(16.6％)patients died of all-cause death and 25(44.6％)of CVD death.Kaplan-Meier survival curve showed significant differences in all-cause mortality(x2=30.484,P＜0.01)and CVD mortality(x2=22.398,P＜0.01)in the 3 groups.Multivariate Cox regression analysis indicated that,as a continuous variable,elevated GNRI was a protective factor for all-cause mortality(HR=0.910,95％CI:0.870-0.952,P=0.000)and CVD mortality(HR=0.895,95％CI:0.852-0.940,P=0.000),and as a categorical variable,mild and major malnutri-tion were independently correlated with all-cause and CVD mortality(P＜0.05).Conclusion GNRI is an independent risk factor for all-cause and CVD mortality in elderly MHD patients.Mo-nitoring the nutritional status using GNRI can predict the risk of adverse prognosis.

Objective To explore the correlations between image quality of prospective and retrospective electrocardiogram(ECG)-gated CT coronary angiogram and radiation dose in patients with different heart rates.Methods A total of 135 patients undergoing 256-slice spiral CT coronary angiography were enrolled in the study.Among them,66 cases received prospective ECG-gated scanning(prospective ECG-gated group)and further divided into two subgroups with heart rate≤80 beats/min(prospective ECG-gated+low heart rate subgroup,n=39)and>80 beats/min(prospective ECG-gated+high heart rate subgroup,n=27).The other 69 cases underwent retrospective ECG-gated scanning(retrospective ECG-gated group),including 45 cases with heart rate≤80 beats/min(retrospective ECG-gated+low heart rate subgroup)and 24 with heart rate>80 beats/min(retrospective ECG-gated+high heart rate subgroup).The baseline data,image quality[mean CT value,image noise,signal-to-noise ratio(SNR),subjective image quality score]and radiation dos[CT volume dose index(CTDIvol),dose length product(DLP),effective dose(ED)]were compared among 4 subgroups.The correlations of image quality with heart rate and radiation dose in prospective and retrospective ECG-gated groups were analyzed.Results The heart rates in prospective and retrospective ECG-gated+low heart rate subgroups were lower than those in prospective and retrospective ECG-gated+high heart rate subgroups(P<0.05).When comparing the mean CT value,image noise,SNR and subjective image quality score among 4 subgroups,no statistically significant differences were observed(P>0.05).The CTDIvol,DLP and ED in prospective ECG-gated+low heart rate subgroup were significantly lower than those in the other 3 subgroups(P<0.05),and the indicators in prospective ECG-gated+high heart rate subgroup were lower than those in retrospective ECG-gated group(including low and high heart rate subgroups)(P<0.05).Pearson correlation coefficient analysis revealed that the mean CT value,image noise,SNR,subjective image quality score had no significant correlation with heart rate,CTDIvol,DLP and ED in prospective and retrospective ECG-gated groups(P>0.05).Conclusion The subjective and objective image quality of 256-slice spiral CT coronary angiography is not correlated with radiation dose.Prospective ECG-gated scanning can reduce the radiation dose and ensure the image quality as compared with retrospective ECG-gated scanning.This holds true for eligible patients with high heart rate,and the former can effectively reduce radiation exposure.Therefore,prospective ECG-gated scanning is worthy to be promoted in clinic.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.