Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

Objective To analyze the distribution status of the end digits of standardized blood pressure measurement recordings in the clinic and the effectiveness of standardized blood pressure measurement for community hypertension screening. Methods The first visit blood pressure measurement data from the Community Health Service Center in Jing'an District, Shanghai from June 2023 to May 2024 were collected and analyzed. According to different measurement methods, the data were divided into two groups: standardized blood pressure measurement and conventional blood pressure measurement. SPSS 19.0 software was used for data analysis. The differences in the distribution balance of the end digits of blood pressure values and the detection rate of blood pressure elevation between the two different groups were analyzed. Results The frequency range of the end digits of blood pressure recorded values in the standardized pressure measurement group was 9.42% to 10.83%, and the detection rate of elevated blood pressure was 24.89%. The conventional pressure measurement group had a preference of the end digit ^"0^", and the detection rate of elevated blood pressure was only 2.12%. The results of multiple logistic regression analysis showed that gender, age, season, and different blood pressure measurement modes were all influencing factors for the detection rate of elevated blood pressure. Conclusion The standardized blood pressure measurement mode in the clinic is suitable for community hypertension screening and pressure measurement, with higher data quality than the conventional pressure measurement mode.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Quality control (QC) of biospecimens from oral and maxillofacial tumors patients constitutes a critical foundation for the prevention, diagnosis, treatment, and precision medicine research of these diseases. Biospecimen quality directly governs the discovery and validation of disease biomarkers, the elucidation of pathogenesis, and the efficacy of clinical translation. QC spans the entire biospecimen lifecycle—encompassing collection, processing, storage, transportation, and utilization. Its primary objectives are to ensure sample integrity, reliability, traceability, and consistency, thereby guaranteeing the robustness of research data; the accuracy of molecular subtyping, biomarker identification, and treatment response prediction; and the precision of clinical decision-making. However, current QC frameworks for these biospecimens remain underdeveloped. Drawing on domestic and international technical standards, regulatory guidelines, and recent research advances, this paper elaborates on the importance of implementing a QC management system throughout the biospecimen lifecycle. It focuses on QC methodologies tailored to diverse biospecimen types, examining how standardized sampling procedures, regulated preprocessing workflows, and optimized long-term storage conditions influence sample quality. We aim to provide concrete guidance and a transferable paradigm for establishing standardized QC protocols and an informatics-enabled traceability system specific to oral and maxillofacial tumors. Such efforts are intended to enhance the research value and clinical utility of these biospecimens, furnishing reliable sample resources and technical support for the development of precision diagnostics and therapeutics. Furthermore, we advocate for a dual-track “QC plus Ethics” management framework within biobanks. This approach would reinforce ethical and legal safeguards, establishing a robust barrier to support safe scientific innovation and clinical translation.

Objective To explore the nutritional status in elderly patients with type 2 diabetes mellitus (T2DM) and analyze its relationship with the risk of sarcopenia. Methods A retrospective analysis was conducted on 312 elderly patients with T2DM admitted to the 904th Hospital of the Joint Logistics Support Force of the People&#39;s Liberation Army between January 2023 and December 2025. Based on the presence or absence of sarcopenia, the patients were classified into a sarcopenia group (121 cases) and a non-sarcopenia group (191 cases). The nutritional status and related factors were compared between the two groups. Binary logistic regression analysis was adopted to analyze the correlation and influencing factors. Results The incidence rate of sarcopenia among elderly patients with T2DM was 38.78%. Compared with the non-sarcopenia group, the sarcopenia group had older age and higher proportions of patients with daily activity dependence, coronary heart disease, and gastrointestinal diseases. Conversely, the proportions of patients exercising ≥4 times per week and those paying attention to nutritional knowledge were lower in the sarcopenia group than those in the non-sarcopenia group (P<0.05). The body mass index (BMI), calf circumference (CC), body weight, albumin (ALB), hemoglobin (Hb), and MNA-SF score in the sarcopenia group were lower compared with those in the non-sarcopenia group (P<0.05). After logistic regression analysis, it was found that low BMI, exercising ≥4 times per week, dependence on daily activity, and low ALB and Hb were independent factors influencing sarcopenia in elderly patients with T2DM (P<0.05). Conclusion The incidence rate of sarcopenia is relatively high in elderly patients with T2DM. Low BMI, low ALB, low Hb, reduced weekly exercise frequency, and daily activity dependence are independent related factors. It is necessary to pay clinical attention to nutritional assessment and intervention.

This paper systematically summarizes the practical experience of the 2025 Dingri earthquake emergency medical rescue in Tibet. It analyzes the requirements for earthquake medical rescue under conditions of high-altitude hypoxia, low temperature, and low air pressure. The paper provides a detailed discussion on the strategic layout of earthquake medical rescue at the national level, local government level, and through social participation. It covers the construction of rescue organizational systems, technical systems, material support systems, and information systems. The importance of building rescue teams is emphasized. In high-altitude and cold conditions, rapid response, scientific decision-making, and multi-party collaboration are identified as key elements to enhance rescue efficiency. By optimizing rescue organizational structures, strengthening the development of new equipment, and promoting telemedicine technologies, the precision and effectiveness of medical rescue can be significantly improved, providing important references for future similar disaster rescues.

Endovascular interventional therapy is currently the main treatment for acute ischemic stroke，but some patients still have not achieved neurological function independence. Analysis of the predictive value of various factors for postoperative neurological function changes can provide more reference for selecting appropriate patient groups and treatment plans.

Objective To analyze etiology and DNA genotypes of human adenovirus (HAdV) in 5566 children with acute lower respiratory infection (ALRI). Methods A total of 5 566 children with ALRI admitted to the hospital were between October 2023 and October 2024, and their nasopharyngeal aspirates were collected. HAdV and the other etiology were detected by real-time fluorescent quantitative polymerase chain reaction (qPCR). The viruses isolation in HAdV positive samples was performed, and DNA genotypes of the isolated viruses were detected by PCR amplification. The clinical characteristics of children with ALRI-HAdV and different DNA genotypes were analyzed. Results Among the 5 566 children with ALRI, positive rate of HAdV was 27.56% (1534/5566). The positive rate was the highest in those with age of 3-6 years (57.51%). There was HAdV infection throughout the year, and the incidence was the highest in summer (41.39%). Among 1534 children with HAdV positive, there were 976 cases with pneumonia and 558 cases with bronchitis. The common clinical manifestations were fever, cough, dry and sore throat, and common complications were respiratory failure and myocardial injury. There were 1201 children with successful classifications, proportions of HAV-B, HAV-C and HAV-E were 53.04%, 42.96% and 4.00%, respectively. The detection rate of HAV-B3 in subgroup B was the highest (34.05%), followed by HaV-C1 in subgroup C (19.48%). There was no difference in distribution of HAdV classifications among children with different genders and age (P>0.05). However, there were differences in distribution of HAdV classifications among admission children in different seasons (P<0.05). Among 1201 children, there were 457 cases with single HAdV infection and 744 cases with mixed infection, and incidence of mixed infection (Mycoplasma pneumoniae infection + influenza virus infection) was higher. Conclusions The incidence of HAdV infection is the highest in ALRI children with age of 3-6 years, and the onset is mainly in summer. The main infection type is Mycoplasma pneumoniae infection + influenza virus infection, main manifestations include fever, cough, dry throat and sore throat, and main genotypes of HAdV infection include HAdV-B3 and HAdV-C1.

Objective To investigate the relationship between Helicobacter pylori (Hp) infection and disease severity and pathological type of intestinal polyps in inpatients. Methods The data of 303 inpatients with intestinal polyps in the hospital from August 2022 to February 2025 were collected and analyzed. The clinical characteristics of patients were analyzed, and the influencing factors of pathological types of polyps were explored. Results Among the 303 inpatients with intestinal polyps, there were 135 Hp positive cases and 168 Hp negative cases. The number of polyps, maximum polyp diameter, number of ileocecus/ascending colon/transverse colon polyps, number of descending colon/sigmoid colon/rectal polyps and adenomatous polyps in the Hp-positive group were higher than those in the Hp-negative group (P<0.05). Multivariate logistic regression analysis indicated that age [OR (95%CI)=1.03 (1.01-1.05)] and positive Hp[OR (95%CI)=2.61 (1.62-4.20)] were independent risk factors of occurrence of adenomatous polyps (P<0.05). ROC curve results revealed that the AUCs of age, positive HP and combination in the diagnosis of adenomatous polyps were 0.574, 0.608 and 0.646, and the 95%CI values were 0.509-0.638, 0.545-0.672 and 0.584-0.708 respectively. The efficiency of combination of the two indexes was higher than that of single diagnosis. Conclusion Hp infection is associated with disease severity in inpatients with intestinal polyps, and it may be involved in the occurrence and development of adenomatous polyps.

Objective To analyze the clinical characteristics and high risk factors of prognosis in patients with chronic heart failure and renal insufficiency. Methods A total of 499 patients with chronic heart failure and renal insufficiency from September 2022 to September 2024 were selected. The clinical data of patients were collected, and the clinical characteristics were analyzed. After 3 months of follow-up, the patients were divided into survival group and death group according to the prognosis status. Univariate analysis, and multivariate logistic regression analysis were adopted to analyze the risk factors affecting the prognosis of patients. Results According to different ejection fraction values, patients were classified into HFrEF group (n=164), HFmrEF group (n=103) and HFpEF group (n=232). The age in HFpEF group was the lowest (P<0.05). The cardiac function grading was the highest in HFrEF group, and the systolic blood pressure was lower while the diastolic blood pressure was higher than that in the other two groups (P<0.05), and there were no differences in cardiac function, systolic blood pressure and diastolic blood pressure between HFmrEF group and HFpEF group (P>0.05). The levels of Hb and ALB in HFpEF group were higher than those in HFrEF group (P<0.05), and no differences were observed between HFmrEF group and the other two groups (P>0.05). HFrEF group had the lowest total cholesterol and Scr, and the highest serum uric acid, eGFR, BNP and cTnI (P<0.05). The level of hs-CRP in HFmrEF group was the lowest. The LVEDD was lower in HFpEF group than that in the other two groups (P<0.05). The levels of serum uric acid, Scr and hs-CRP in death group were higher while the eGFR was lower compared to survival group (P<0.05). After logistic analysis, it was found that elevated levels of serum uric acid and hs-CRP and decreased eGFR were risk factors for poor prognosis (P<0.05). Conclusion Patients with chronic heart failure and renal insufficiency are mainly HFpEF. Elevated serum uric acid and hs-CRP and decreased eGFR are the high risk factors for poor prognosis.