Objective: To investigate the status of heat illness, knowledge awareness and adaptive behaviors of heat wave knowledge among food delivery riders, so as to provide a basis for optimizing heat wave response measures for food delivery riders. Methods: In November 2022, food delivery riders from a large food delivery platform in Ningbo City, Zhejiang Province were selected as survey subjects using a cluster sampling method. A self-designed electronic questionnaire was used to select demographic information, work status, lifestyle behaviors and disease history, heat illness status, knowledge awareness and adaptive behaviors of heatwave. Results: A total of 911 questionnaires were distributed, and 830 valid questionnaires were recovered, resulting in a valid response rate of 91.11%. Among the respondents, 796 (95.90%) were male, and 818 (98.55%) worked full-time. The mean age was (27.75±8.00) years. A total of 470 respondents (56.63%) had a work tenure of less than 1 year. The primary working hours were 8-<12 hours, with 504 people accounting for 60.72%. There were 108 cases of heatstroke, with an occurrence rate of 13.01%. And 286 people reported heat-related symptoms, with an occurrence rate of 34.46%. The overall awareness rate of heat wave knowledge was 73.22%, while the awareness rate of heat warning signal classification was relatively low at 9.04%. The heat wave cognition score was (5.86±1.31) points. There were statistically significant differences in heat wave cognition scores among food delivery riders of different ages, educational levels, family annual income, work tenures, and work durations (all P<0.05). Regarding positive adaptive behaviors, the number of riders paying attention to weather forecasts and actively learning about preventive measures was higher (734 people each, accounting for 88.43%). Regarding negative adaptive behaviors, the number of riders who often drank ice-cold beverages was higher (509 people, accounting for 61.33%). The heat wave adaptive behavior score was (6.88±1.77) points. There were statistically significant differences in adaptive behavior scores among riders with different educational levels, family annual income, work tenures, and smoking frequency (all P<0.05). Conclusions The occurrence rates of heatstroke and heat-related symptoms among food delivery riders are relatively high. The knowledge awareness and adaptive behaviors regarding heat wave are at a moderate level. It is suggested to strengthen health education, reinforce risk cognition of heat wave, and promote positive adaptive behaviors among food delivery riders.

Hypertrophic scar is a fibrous hyperplastic disorder that arises from skin injuries. The current therapeutic modalities are constrained by the dense and rigid scar tissue which impedes effective drug delivery. Additionally, insufficient autophagic activity in fibroblasts hinders their apoptosis, leading to excessive matrix deposition. Here, we developed an active microneedle (MN) system to overcome these challenges by integrating micromotor-driven drug delivery with autophagy regulation to remodel the scar microenvironment. Specifically, sodium bicarbonate and citric acid were introduced into the MNs as a built-in engine to generate CO₂ bubbles, thereby enabling enhanced lateral and vertical drug diffusion into dense scar tissue. The system concurrently encapsulated curcumin (Cur), an autophagy activator, and triamcinolone acetonide (TA), synergistically inducing fibroblast apoptosis by upregulating autophagic activity. In vitro studies demonstrated that active MNs achieved efficient drug penetration within isolated scar tissue. The rabbit hypertrophic scar model revealed that TA-Cur MNs significantly reduced the scar elevation index, suppressed collagen I and transforming growth factor-β1 (TGF-β1) expression, and elevated LC3 protein levels. These findings highlight the potential of the active MN system as an efficacious platform for autonomous augmented drug delivery and autophagy-targeted therapy in fibrotic disorder treatments.

Objective:To analyze the 2011-to-2023 baseline data on, and the variations theirin, malignant tumor mortality for the surrounding residents prior to operation of the Jin-Qimen nuclear power plant at Xiangshan county, Zhejiang province, for pursose of providing scientific basis for evaluating the health impacts of nuclear power plant operation.Methods:Data on malignant tumor mortality and population in Xiangshan county from 2011 to 2023 were collected from the Ningzhou Cause of Death Monitoring System and the Ningzhou Public Security Bureau. Crude death rates and standardized rates (China standard population) were calculated. The Joinpoint regression model was used to analyze annual percentage change (APC) and average annual percentage change (AAPC).Results:The average annual malignant tumor mortality from 2011 to 2023 was 212.42 deaths per 100 000 population (age-standardized rate: 133.16 deaths per 100 000 population), with males at 287.41 deaths per 100 000 and females at 135.40 deaths per 100 000 population. The crude mortality exhibited an upward trend (AAPC=1.264%, t=5.07, P<0.05), while the age-standardized rate showed a significant downward trend (AAPC=-2.753%, t=-10.50, P<0.05). Mortality increased with age ( χ2=23 903.91, P<0.05), peaking in the ≥85 age group (1 693.11 per 100 000), and rising trends were observed in males ( χ2=16 982.46, P<0.05) and females ( χ2=7 329.05, P<0.05). Leading causes included lung cancer, liver cancer, gastric cancer, colorectal cancer, and pancreatic cancer. Liver cancer, gastric cancer, and esophageal cancer showed declining trends, whereas prostate cancer increased. Radiation-sensitive tumors (e.g., leukemia, breast cancer, thyroid cancer) displayed no significant trends. Among individuals under the age of 30, leukemia and brain/nervous system cancers predominated; for those aged 30-79, the lung, liver, and gastric cancers were dominant; and for the group aged 80 and above, the lung, gastric, and colorectal cancers were dominant. Malignant tumor mortality increased with distance from the nuclear facility ( χ2=6.90, P<0.05), significantly in males ( χ2=10.42, P<0.05) but not in females ( P>0.05). Leukemia, breast cancer, and thyroid cancer mortality showed no significant trends ( P>0.05). Conclusions:The age-standardized mortality rate for malignant tumors in Xiangshan county demonstrated an overall declining trend, with notable changes in specific cancers. Leukemia, breast cancer, and thyroid cancer mortality remained relatively stable. These baseline findings provide a scientific basis for health impact assessments of nuclear power plants and sustainable nuclear energy development.

Objective: To evaluate the radiation dose, operational standardization, and image quality of computed tomography (CT) Ningbo City Medical Imaging Cloud Platform, so as to provide references for optimizing the quality of CT examinations. Methods: Six CT devices were randomly selected from the Ningbo City Medical Imaging Cloud Platform. Digital Imaging and Communication in Medicine (DICOM) image data from CT examinations of the head, neck, chest, and abdomen in males aged 36 to 60 years were collected from January 2023 to December 2024. The radiation dose levels were evaluated using the volume CT dose index (CTDIvol) and dose length product (DLP). The coefficient of variation (CV) of CTDIvol and scan length were calculated to assess scan stability. Operational standardization was evaluated using the redundancy rate of scan length and protocol matching degree. Imaging quality was assessed using the signal to noise ratio (SNR) and contrast to noise ratio (CNR). Results: A total of 28 897 DICOM images were collected, including 6 730 axial scans of the skull, 2 778 plain scans of the neck, 15 496 plain scans of the chest, and 3 893 plain scans of the abdomen. The typical values of CTDIvol and DLP radiation doses for the head, neck, and chest were all lower than the diagnostic reference levels. The maximum typical values of CTDIvol and DLP for the abdomen were 22.49 mGy and 941.45 mGy·cm, respectively, which were higher than the diagnostic reference levels. The CV values of CTDIvol and scan length ranged from 14.59% to 37.88% and from 8.27% to 44.96%, respectively. The scan stability of head CT was relatively poor, with CV values ranging from 21.74% to 37.88% and from 12.66% to 44.96%, respectively. The redundancy rate of scan length ranged from 6.02% to 74.40%, and the protocol matching degree ranged from 79.80% to 100.00%. The operational standardization of neck CT was relatively poor, with redundancy rates ranging from 45.70% to 74.40% and protocol matching degrees ranging from 79.80% to 95.36%. The mean SNR and mean CNR of the pulmonary arteries in the chest were relatively high, ranging from 15.81 to 17.65 and from 6.33 to 7.41, respectively. Conclusions The radiation doses from abdominal CT examinations on some CT devices exceed the diagnostic reference levels. The scan stability of head CT examinations and the operational standardization of neck CT examinations represent weak points in quality control. It is recommended to carry out targeted quality control training to enhance the overall quality level of CT examinations.

AIM:This study aims to investigate the therapeutic impact of bone marrow mesenchymal stem cell(MSC)-derived exosomes(MSC-Exos)on septic lung injury by targeting Toll-like receptor 4(TLR4)/nuclear factor-κB(NF-κB)signaling pathway.METHODS:MSC-Exos were isolated from bone marrow MSCs using ultracentrifugation.The exosomes were characterized by transmission electron microscopy(TEM),nanoparticle tracking analysis(NTA),and Western blot.A septic lung injury model was established via cecal ligation and puncture(CLP).MSC-Exos were adminis-tered intraperitoneally 3 h after CLP.Blood and lung tissue samples were collected at 6,12,24,and 72 h after CLP.Con-centrations of interleukin-10(IL-10),IL-6,IL-1β,and tumor necrosis factor-α(TNF-α)were measured by ELISA.The lung tissue damage in mice was assessed by HE staining.Expression levels of TLR4 and NF-κB were detected by RT-qP-CR and Western blot.RESULTS:The results of TEM revealed typical round and oval exosome-like structures of MSC-Exos.Western blot showed positive expression of CD63,TSG101 and HSP-70.The results of NTA indicated that the parti-cle size of MSC-Exos was(107.5±16.6)nm.Septic lung injury began to manifest 12 h after CLP and progressively worsened,peaking at 72 h after CLP.At 6 h after CLP,the level of TNF-α was markedly elevated compared to the control group,reaching its peak at 72 h after CLP.At 12 h after CLP,the levels of IL-1β,IL-10,and IL-6 were elevated com-pared to the control group,and they reached their maximum point 72 h post-CLP.The MSC-Exos intervention group ex-hibited significantly reduced lung injury compared to the CLP group,as indicated by the lung pathology scoring.In the MSC-Exos intervention group,concentrations of IL-10,IL-1β,IL-6,and TNF-α peaked at 12 h after CLP,gradually de-clined,and returned to baseline levels by 72 h.TLR4 and NF-κB expression levels were significantly increased at 6 h af-ter CLP in the CLP group,peaking at 72 h.In contrast,MSC-Exos treatment normalized TLR4 and NF-κB expression levels at 72 h after CLP.CONCLUSION:Early intervention with bone marrow MSC-Exos significantly alleviated septic lung injury by reducing the inflammatory cytokine storm,likely through downregulation of the TLR4/NF-κB signaling path-way.

Objective:To analyze the 2011-to-2023 baseline data on, and the variations theirin, malignant tumor mortality for the surrounding residents prior to operation of the Jin-Qimen nuclear power plant at Xiangshan county, Zhejiang province, for pursose of providing scientific basis for evaluating the health impacts of nuclear power plant operation.Methods:Data on malignant tumor mortality and population in Xiangshan county from 2011 to 2023 were collected from the Ningzhou Cause of Death Monitoring System and the Ningzhou Public Security Bureau. Crude death rates and standardized rates (China standard population) were calculated. The Joinpoint regression model was used to analyze annual percentage change (APC) and average annual percentage change (AAPC).Results:The average annual malignant tumor mortality from 2011 to 2023 was 212.42 deaths per 100 000 population (age-standardized rate: 133.16 deaths per 100 000 population), with males at 287.41 deaths per 100 000 and females at 135.40 deaths per 100 000 population. The crude mortality exhibited an upward trend (AAPC=1.264%, t=5.07, P<0.05), while the age-standardized rate showed a significant downward trend (AAPC=-2.753%, t=-10.50, P<0.05). Mortality increased with age ( χ2=23 903.91, P<0.05), peaking in the ≥85 age group (1 693.11 per 100 000), and rising trends were observed in males ( χ2=16 982.46, P<0.05) and females ( χ2=7 329.05, P<0.05). Leading causes included lung cancer, liver cancer, gastric cancer, colorectal cancer, and pancreatic cancer. Liver cancer, gastric cancer, and esophageal cancer showed declining trends, whereas prostate cancer increased. Radiation-sensitive tumors (e.g., leukemia, breast cancer, thyroid cancer) displayed no significant trends. Among individuals under the age of 30, leukemia and brain/nervous system cancers predominated; for those aged 30-79, the lung, liver, and gastric cancers were dominant; and for the group aged 80 and above, the lung, gastric, and colorectal cancers were dominant. Malignant tumor mortality increased with distance from the nuclear facility ( χ2=6.90, P<0.05), significantly in males ( χ2=10.42, P<0.05) but not in females ( P>0.05). Leukemia, breast cancer, and thyroid cancer mortality showed no significant trends ( P>0.05). Conclusions:The age-standardized mortality rate for malignant tumors in Xiangshan county demonstrated an overall declining trend, with notable changes in specific cancers. Leukemia, breast cancer, and thyroid cancer mortality remained relatively stable. These baseline findings provide a scientific basis for health impact assessments of nuclear power plants and sustainable nuclear energy development.

AIM:This study aims to investigate the therapeutic impact of bone marrow mesenchymal stem cell(MSC)-derived exosomes(MSC-Exos)on septic lung injury by targeting Toll-like receptor 4(TLR4)/nuclear factor-κB(NF-κB)signaling pathway.METHODS:MSC-Exos were isolated from bone marrow MSCs using ultracentrifugation.The exosomes were characterized by transmission electron microscopy(TEM),nanoparticle tracking analysis(NTA),and Western blot.A septic lung injury model was established via cecal ligation and puncture(CLP).MSC-Exos were adminis-tered intraperitoneally 3 h after CLP.Blood and lung tissue samples were collected at 6,12,24,and 72 h after CLP.Con-centrations of interleukin-10(IL-10),IL-6,IL-1β,and tumor necrosis factor-α(TNF-α)were measured by ELISA.The lung tissue damage in mice was assessed by HE staining.Expression levels of TLR4 and NF-κB were detected by RT-qP-CR and Western blot.RESULTS:The results of TEM revealed typical round and oval exosome-like structures of MSC-Exos.Western blot showed positive expression of CD63,TSG101 and HSP-70.The results of NTA indicated that the parti-cle size of MSC-Exos was(107.5±16.6)nm.Septic lung injury began to manifest 12 h after CLP and progressively worsened,peaking at 72 h after CLP.At 6 h after CLP,the level of TNF-α was markedly elevated compared to the control group,reaching its peak at 72 h after CLP.At 12 h after CLP,the levels of IL-1β,IL-10,and IL-6 were elevated com-pared to the control group,and they reached their maximum point 72 h post-CLP.The MSC-Exos intervention group ex-hibited significantly reduced lung injury compared to the CLP group,as indicated by the lung pathology scoring.In the MSC-Exos intervention group,concentrations of IL-10,IL-1β,IL-6,and TNF-α peaked at 12 h after CLP,gradually de-clined,and returned to baseline levels by 72 h.TLR4 and NF-κB expression levels were significantly increased at 6 h af-ter CLP in the CLP group,peaking at 72 h.In contrast,MSC-Exos treatment normalized TLR4 and NF-κB expression levels at 72 h after CLP.CONCLUSION:Early intervention with bone marrow MSC-Exos significantly alleviated septic lung injury by reducing the inflammatory cytokine storm,likely through downregulation of the TLR4/NF-κB signaling path-way.

Objective To predict risk factors affecting the prognosis of HIV/AIDS patients with Candida infection, providing clinicians with predictors for early identifying high-risk patients. Methods Clinical data were collected from HIV/AIDS patients with Candida infection admitted to an infectious disease hospital in Guangxi from January 2012 to June 2019. Patients were divided into a death group and a survival group according to their different prognostic outcomes. Cases were randomly selected and matched using propensity score matching (PSM) at a ratio of 1∶3 (death: survival) to construct the model. The data were split into a training set and a testing set at a ratio of 7∶3. Various machine learning models were built, and the optimal model was selected as the final prediction model by comprehensively evaluating the model performance. Finally, the SHAP values were used to interpret the features of the model and analyze the influencing factors of patients' prognostic outcomes. Results A total of 3 098 HIV/AIDS patients with Candida infection were collected. From 2012 to June 2019, the in-hospital mortality rate of HIV/AIDS patients with Candida infection showed a linear and stable downward trend (P=0.043). After applying PSM, data from 1 620 cases were used to construct six different machine learning models, among which the XGBoost model had the best performance (training/testing set, AUC=0.98/0.85, sensitivity=0.93/0.75, specificity=0.93/0.84). Respiratory failure, urea, and LDH levels were thought to be the three major factors affecting the prognostic outcomes of HIV/AIDS patients with Candida infection. Conclusions The XGBoost model showed good predictive performance in predicting prognostic outcomes of HIV/AIDS patients with Candida infection. The model can provide early warning for the identification of high-risk patients and assist clinicians to take personalized treatment measures promptly, which is of great significance for guiding clinical decision-making.

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.

Objective:To summarize the best evidence for the prevention and management of oral mucosal pressure injury (OMPI) in severe neurological patients with tracheal intubation.Methods:The clinical decisions, guidelines, expert consensus, evidence summary, systematic reviews, and clinical practice regarding the prevention and management of OMPI in severe neurological patients with tracheal intubation were searched in domestic and foreign databases, guideline websites, and professional association websites. The search period was from database establishment to May 30, 2023. Four researchers who undergone systematic evidence-based training conducted literature quality evaluation and evidence extraction.Results:A total of 15 articles were included, including three evidence summaries, three systematic reviews, two guidelines, three clinical practices, three expert consensus, and one clinical decision. A total of 27 pieces of best evidence were summarized from six aspects of risk assessment, oral mucosal assessment, oral nursing, tracheal intubation management, nutritional support, and organizational training.Conclusions:The best evidence for the prevention and management of OMPI in severe neurological patients with tracheal intubation summarized provides evidence-based evidence for medical and nursing staff to prevent and manage OMPI in severe neurological patients with tracheal intubation.