To analyze the application value of artificial intelligence (AI)-based classification in the categorization of medical adverse events.

Malignant tumors represent a major global public health challenge,necessitating urgent innovation in diagnostic and therapeutic strategies.Lactate,a key metabolic product of tumor cell glycolysis,functions not merely as an energy metabolite but also as a signaling molecule to regulate malignant progression.Lactate mediates intercellular metabolite distribution through monocarboxylate transporter(MCT)-driven lactate shuttling and regulates epigenetics via histone lactylation.This integration establishes interconnected networks of energy,amino acid,and lipid metabolism that enhance tumor metabolic plasticity.In immune regulation,lactate induces a shift of T cells toward immunosuppressive phenotypes,impedes CD8+T cell memory differentiation,and attenuates cytotoxicity.Simultaneously,lactate not only reduces the immune efficacy of natural killer(NK)cells but also triggers apoptosis by inducing mitochondrial dysfunction,creating an immune-privileged niche for metastatic sites.Furthermore,elevated lactate levels activate multiple signaling pathways to recruit macrophages and drive their polarization toward the M2 phenotype,fostering an immunosuppressive microenvironment.Current therapeutic strategies target key aspects of lactate metabolism.Inhibiting lactate synthesis reduces lactate accumulation in tumor microenvironment(TME),countering the tumor's metabolic advantage and diminishing its role in driving metabolic reprogramming.Additionally,promoting the decomposition of lactate represents a promising new direction.Novel agents employing bioenzymes or biomimetic catalytic systems enhance local lactate clearance,alleviating the immunosuppressive effects of the acidic TME.This review comprehensively outlined the lactate-mediated regulatory network,aiming to provide systematic research directions and translational insights for developing more effective anti-tumor therapies.

OBJECTIVE: To investigate the predictive value of oxygenation index (PaO₂/FiO₂) at intensive care unit (ICU) admission on 30-day mortality in patients with sepsis. METHODS: A retrospective study was conducted. Patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to October 2023 were enrolled. The demographic information, comorbidities, sites of infection, vital signs and laboratory test indicators at the time of admission to the ICU, disease severity scores within 24 hours of admission to the ICU, treatment process and prognostic indicators were collected. According to the PaO₂/FiO₂ at ICU admission, patients were divided into Q1 group (PaO₂/FiO₂ of 4.1-16.4 cmHg, 1 cmHg ≈ 1.33 kPa), Q2 group (PaO₂/FiO₂ of 16.5-22.6 cmHg), Q3 group (PaO₂/FiO₂ of 22.7-32.9 cmHg), and Q4 group (PaO₂/FiO₂ of 33.0-94.8 cmHg). Differences in the indicators across the four groups were compared. Multifactorial Cox regression analysis was used to assess the relationship between PaO₂/FiO₂ and 30-day mortality of patients with sepsis. The predictive value of PaO₂/FiO₂, sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) on 30-day prognosis of patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 1 711 patients with sepsis were enrolled, including 428 patients in Q1 group, 424 patients in Q2 group, 425 patients in Q3 group, and 434 patients in Q4 group. 622 patients died at 30-day, the overall 30-day mortality was 36.35%. There were statistically significant differences in age, body mass index (BMI), history of smoking, history of alcohol consumption, admission heart rate, respiratory rate, APACHE II score, SOFA score, Glasgow coma score (GCS), site of infection, Combined chronic obstructive pulmonary disease (COPD), blood lactic acid (Lac), prothrombin time (PT), albumin (Alb), total bilirubin (TBil), pH, proportion of mechanical ventilation, duration of mechanical ventilation, proportion of vasoactive medication used, and maximal concentration, length of ICU stay, hospital stay, incidence of acute kidney injury, in-hospital mortality, 30-day mortality among the four groups. Multivariate Cox regression analysis showed that after adjusting for confounding factors, for every 1 cmHg increase in PaO₂/FiO₂ at ICU admission, the 30-day mortality risk decreased by 2% [hazard ratio (HR) = 0.98, 95% confidence interval (95%CI) was 0.98-0.99, P < 0.001]. The 30-day mortality risk in the Q4 group was reduced compared with the Q1 group by 41% (HR = 0.59, 95%CI was 0.46-0.76, P < 0.001). The fitted curve showed that a curvilinear relationship between PaO₂/FiO₂ and 30-day mortality after adjustment for confounders. In the inflection point analysis, for every 1 cmHg increase in PaO₂/FiO₂ at PaO₂/FiO₂ < 28.55 cmHg, the risk of 30-day death in sepsis patients was reduced by 5% (HR = 0.95, 95%CI was 0.94-0.97, P < 0.001); when PaO₂/FiO₂ ≥ 28.55 cmHg, there was no statistically significant association between PaO2/FiO2 and the increase in the risk of 30-day death in sepsis (HR = 1.01, 95%CI was 0.99-1.02, P = 0.512). ROC curve analysis showed that the area under the curve (AUC) for the prediction of 30-day mortality by admission PaO₂/FiO₂ in ICU sepsis patients was 0.650, which was lower than the predictive ability of the SOFA score (AUC = 0.698) and APACHE II score (AUC = 0.723). CONCLUSION In patients with sepsis, PaO₂/FiO₂ at ICU admission is strongly associated with 30-day mortality risk, alerting healthcare professionals to pay attention to patients with low PaO₂/FiO₂ for timely interventions.
Humans ; Sepsis/mortality* ; Intensive Care Units ; Retrospective Studies ; Prognosis ; Hospital Mortality ; Oxygen ; Male ; Predictive Value of Tests ; Female ; Middle Aged ; Aged

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.

OBJECTIVE To investigate the current status and causes of occupational exposures to needlestick inju-ries among healthcare workers who perform minimally invasive acupunctures of traditional Chinese medicine(TCM)so as to propose treatment countermeasures.METHODS A total of 95 cases who were involved in the oc-cupational exposures to needlestick injuries due to minimally invasive acupunctures and were treated in hospital in-fection management department of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from Jan.2020 to Dec.2024 were retrospectively investigated,and the risk factors for the occupational exposures were statistically analyzed.RESULTS The cases of operation-induced needlestick injuries accounted for 16.35％(95/581)among the total cases of occupational exposures due to the operation of minimally invasive acupunctures of TCM,standardized and advanced training doctors as well as interns were dominant among the occupational ex-posure cases.There were 69(72.63％)cases of acupuncture needle injuries,34(35.79％)of whom had the needlestick injuries during the process of withdrawal of needles.The result of data analysis showed that there were significant differences in age,occupation,working years,distribution of departments,autoimmunity,type of needlestick injury,link of stick injuries and treatment of occupational exposure with emergent screening(all P＜0.05).CONCLUSIONS The incidence of needlestick injuries is high among the health care workers who per-form the minimally invasive acupunctures of TCM,which should be attached great attention to.It is of great sig-nificance to standardize and modify the use procedure,use portable sharp boxes,intensify the safe operation skills for the health care workers with less experience,strengthen the teaching,focus on the autoimmunity,vaccinate in a timely manner,and effectively treat the occupational exposures so as to reduce the incidence of occupational ex-posures and the risk of infections.

Objective To explore the application value of ultrasound combined with elastography in grading inflammation in patients with chronic liver disease at S2 stage of liver fibrosis.Methods Totally 51 patients who were hospitalized at Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from Jan.2022 to Mar.2024 and underwent liver biopsy with pathological results indicating a stage of S2 liver fibrosis in chronic liver disease were enrolled.All patients underwent ultrasound-guided liver biopsy to obtain the stage of pathological liver fibrosis(S1 to S4)and the grade of liver inflammation(G0 to G4).In addition,all the patients were examined by ultrasound combined with elastography;and shear wave velocity(Vs),acoustic attenuation coefficient(ATT),liver fibrosis index(LFI),fibrosis-related index(F index),and inflammatory activity index(A index)were obtained.The correlation between ultrasound combined with elastography parameters and pathological inflammation grading was analyzed.Results According to the pathological inflammation grading,there were 15 cases in group G1,28 cases in group G2,and 8 cases in group G3.There were significant differences in F index,A index,Vs and ATT among the 3 groups(all P＜0.05).Among them,F index,A index and Vs in group G1 were significantly lower than those in group G3(P=0.007,0.006,0.040),while ATT was significantly higher than that in group G3(P=0.005);and there was no significant difference in LFI among the 3 groups(P=0.373).Vs,ATT,F index and A index were correlated with pathological inflammation grade(r=0.404,-0.417,0.379,0.383;P=0.003,0.002,0.006,0.006).The mean plot showed that with the increase of pathological inflammation grade,the age of patients showed a linear upward trend,ATT showed a linear downward trend,and A index showed a linear upward trend.Vs was positively correlated with alanine transaminase(ALT),aspartate transaminase(AST),alkaline phosphatase(ALP),γ-glutamyltransferase(GGT),total bilirubin,and direct bilirubin(DBil)(all P＜0.05).ATT was negatively correlated with ALT,AST,GGT,and DBil(all P＜0.05);and both F index and A index were positively correlated with ALT,AST,ALP,GGT,and DBil(all P＜0.05).Conclusion Ultrasound combined with elastography can be used to evaluate the degree of inflammation in patients with chronic liver disease at S2 stage of liver fibrosis.

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.

Malignant tumors represent a major global public health challenge,necessitating urgent innovation in diagnostic and therapeutic strategies.Lactate,a key metabolic product of tumor cell glycolysis,functions not merely as an energy metabolite but also as a signaling molecule to regulate malignant progression.Lactate mediates intercellular metabolite distribution through monocarboxylate transporter(MCT)-driven lactate shuttling and regulates epigenetics via histone lactylation.This integration establishes interconnected networks of energy,amino acid,and lipid metabolism that enhance tumor metabolic plasticity.In immune regulation,lactate induces a shift of T cells toward immunosuppressive phenotypes,impedes CD8+T cell memory differentiation,and attenuates cytotoxicity.Simultaneously,lactate not only reduces the immune efficacy of natural killer(NK)cells but also triggers apoptosis by inducing mitochondrial dysfunction,creating an immune-privileged niche for metastatic sites.Furthermore,elevated lactate levels activate multiple signaling pathways to recruit macrophages and drive their polarization toward the M2 phenotype,fostering an immunosuppressive microenvironment.Current therapeutic strategies target key aspects of lactate metabolism.Inhibiting lactate synthesis reduces lactate accumulation in tumor microenvironment(TME),countering the tumor's metabolic advantage and diminishing its role in driving metabolic reprogramming.Additionally,promoting the decomposition of lactate represents a promising new direction.Novel agents employing bioenzymes or biomimetic catalytic systems enhance local lactate clearance,alleviating the immunosuppressive effects of the acidic TME.This review comprehensively outlined the lactate-mediated regulatory network,aiming to provide systematic research directions and translational insights for developing more effective anti-tumor therapies.

OBJECTIVE To investigate the current status and causes of occupational exposures to needlestick inju-ries among healthcare workers who perform minimally invasive acupunctures of traditional Chinese medicine(TCM)so as to propose treatment countermeasures.METHODS A total of 95 cases who were involved in the oc-cupational exposures to needlestick injuries due to minimally invasive acupunctures and were treated in hospital in-fection management department of Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine from Jan.2020 to Dec.2024 were retrospectively investigated,and the risk factors for the occupational exposures were statistically analyzed.RESULTS The cases of operation-induced needlestick injuries accounted for 16.35％(95/581)among the total cases of occupational exposures due to the operation of minimally invasive acupunctures of TCM,standardized and advanced training doctors as well as interns were dominant among the occupational ex-posure cases.There were 69(72.63％)cases of acupuncture needle injuries,34(35.79％)of whom had the needlestick injuries during the process of withdrawal of needles.The result of data analysis showed that there were significant differences in age,occupation,working years,distribution of departments,autoimmunity,type of needlestick injury,link of stick injuries and treatment of occupational exposure with emergent screening(all P＜0.05).CONCLUSIONS The incidence of needlestick injuries is high among the health care workers who per-form the minimally invasive acupunctures of TCM,which should be attached great attention to.It is of great sig-nificance to standardize and modify the use procedure,use portable sharp boxes,intensify the safe operation skills for the health care workers with less experience,strengthen the teaching,focus on the autoimmunity,vaccinate in a timely manner,and effectively treat the occupational exposures so as to reduce the incidence of occupational ex-posures and the risk of infections.

In recent years,growth hormone and insulin-like growth factors have become key regulators of bone metabolism and remodeling,crucial for maintaining healthy bone mass throughout life.Studies have shown that adult growth hormone deficiency leads to alterations in bone remodeling,significantly affecting bone microarchitecture and increasing fracture risk.Although recombinant human growth hormone replacement therapy can mitigate these adverse effects,improving bone density,and reduce fracture risk,its effectiveness in treating osteoporosis,especially in adults with established growth hormone deficiency,seems limited.Bisphosphonates inhibit bone resorption by targeting farnesyl pyrophosphate synthase in osteoclasts,and clinical trials have confirmed their efficacy in improving osteoporosis.Therefore,for adult growth hormone deficiency patients with osteoporosis,the use of bisphosphonates alongside growth hormone replacement therapy is recommended.