Objective:To evaluate the utility of pulse oximetry-derived parameters—specifically, the pulse oximetry plethysmographic waveform area under the curve (POP AUC) and the peripheral perfusion index (PPI)—in assessing disease severity and predicting prognosis in patients with sepsis. Methods:In this prospective descriptive study, 68 patients with sepsis were categorized based on illness severity into septic shock and non-shock groups, and by 28-day outcome into survival and non-survival groups. POP AUC, PPI, and lactate (Lac) levels were recorded at 0, 24, 48, 72, and 96 hours after admission. APACHEⅡ and SOFA scores were calculated within the first 24 hours. The prognostic value of these parameters was evaluated. Results:Significant differences were observed between the septic shock and non-shock groups in POP AUC, PPI, Lac (all P < 0.05 except at 96 h), APACHEⅡ, and SOFA scores (all P < 0.05). These differences were most pronounced at admission: POP AUC0 (2475.1 ± 899.0) vs. (4260.3 ± 1028.5), PPI 0 (0.78 ± 0.74) vs. (3.13 ± 2.18), Lac 0 (4.95 ± 4.32) vs. (2.07 ± 1.55), APACHE Ⅱ (16.78 ± 5.59) vs. 11.82 ± 4.89), and SOFA (8.89 ± 3.25) vs. (5.06 ± 2.60). Optimal prognostic cut-off values were 2741.43 for POP AUC, 0.97 for PPI, 2.05 for Lac, 12.5 for APACHEⅡ, and 5.5 for SOFA. ROC curve analysis showed that at 24 hours, POP AUC and PPI had significantly larger AUC values than Lac ( P < 0.05), while no significant differences were found among other parameters. Significant differences between non-survivors and survivors were also found in POP AUC, PPI (at 0, 24, and 48 h), APACHE II, and SOFA (all P < 0.05). No significant differences were observed in PPI (72 h and 96 h) or Lac between the two outcome groups. Conclusions:POP AUC and PPI, as derived from pulse oximetry, are non-inferior to Lac, SOFA, and APACHEⅡ scores in evaluating disease severity and predicting 28-day mortality in sepsis patients. These parameters show promise as practical and non-invasive tools for clinical assessment in sepsis.

Objective:To investigate the related factors of cognitive impairment in middle-aged and old-aged patients with type 2 diabetes mellitus(T2DM).Methods:A total of 970 patients with T2DM(585 middle-aged group and 385 old-aged group)were selected from residents of a large community in Beijing from September to December 2018.The Mini-Mental State Examination(MMSE)was used to assess the cognitive func-tion.Multivariate logistic regression was used to analyze the related factors.Results:The detection rates of cognitive impairment were 12.0％and 13.5％in middle-aged and old-aged patients with T2DM,respectively.Among mid-dle-aged patients with T2DM,work(OR=0.22,95％CI:0.03-0.77)and education at the junior college or un-dergraduate level and above(OR=0.18,95％CI:0.04-0.55)were protective factors for cognitive impair-ment.Myocardial infarction(OR=4.13,95％CI:1.26-13.63)was a risk factor for cognitive impairment.Among old-aged patients with T2DM,drinking tea 1-2 times a week(OR=0.11,95％CI:0.01-0.58)and education at the junior college or undergraduate level and above(OR=0.19,95％CI:0.05-0.54)were protective factors for cognitive impairment.Stroke(OR=3.64,95％CI:1.55-8.39)and good sleep self-assessment(OR=2.75,95％CI:1.13-7.35)were risk factors for cognitive impairment.Conclusion:Cognitive impairment in middle-aged pa-tients with T2DM is related to work,education level and myocardial infarction,and cognitive impairment in old-aged patients with T2DM is related to lifestyle,education level and stroke.

Head and neck tumors are mainly classified into lesions originating from the oral cavity, pharynx, larynx, paranasal sinuses, and salivary glands. Squamous cell carcinoma remains the most common histopathological subtype. The in-depth exploration of genetics and epigenetics can contribute to elucidating the molecular mechanisms of development, progression and metastasis in head and neck squamous cell carcinoma (HNSCC), screening prognostic related biomarkers, which provide new directions and opportunities for targeted therapy. This paper summarizes the primary genetic and epigenetic characteristics of HNSCC and discusses the correlation of key molecules with the prognosis of patients.

Objective:To explore the short-term clinical effects of deep cervical lymph node-venous anastomosis in the treatment of Alzheimer’s disease (AD).Methods:A prospective exploratory study was conducted on the treatment of AD patients using the cervical deep lymph node-venous anastomosis technique in Scar and Wound Treatment Department, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, from September to October 2024. The patients underwent high-frequency ultrasound to locate deep cervical lymph nodes and the external jugular vein. Under general anesthesia, bilateral deep cervical lymph node-venous anastomoses were performed. Indocyanine green (ICG) lymphography was conducted via subcutaneous injection behind the ear to visualize lymph nodes in levels Ⅱ and Ⅲ. After making a skin incision along the posterior margin of the sternocleidomastoid muscle, the external jugular vein, internal jugular veins, and associated lymph nodes were exposed. Adjacent veins were selected for anastomosis of lymph node. Using microsurgical techniques, end-to-side or end-to-end anastomosis was completed for lymph nodes in levels Ⅱ and Ⅲ. Preoperative assessments included the mini-mental state examination (MMSE, a higher score indicates better cognitive function), Alzheimer’s disease assessment scale-cognitive subscale (ADAS-Cog, a higher score indicates greater impairment of cognitive function), Alzheimer’s disease cooperative study scale for activities of daily living (ADCS-ADL, a higher score indicates better ability to perform daily activity), and neuropsychiatric inventory (NPI, a higher score indicates more severe behavioral and emotional symptom). Postoperative follow-up included the same scales to observe changes in cognitive function, activities of daily living, and emotional communication.Results:Four patients (1 male, 3 females, aged 58-79 years) with AD were included. All were diagnosed based on cerebrospinal fluid biomarkers. All patients successfully underwent bilateral deep cervical lymph node-venous anastomoses. On average, 4.3 (2-7 per person) anastomoses were performed per patient. Surgical procedures lasted an average of 6.5 h (5.5-8.5 h) with minimal blood loss (less than 50 ml). Patients resumed normal activity within 6 hours postoperatively and were discharged after an average of 4.1 d (3.5-5.0 d). Postoperative complications included one case each of aspiration pneumonia, lower limb venous thrombosis, and transient delirium, all of whom resolved without long-term effects. Clinical symptoms, including memory decline, mood swings, and anxiety, showed varying degrees of improvement. Patients reported enhanced quality of life, emotional stability, and social engagement, confirming the procedure’s safety and potential cognitive benefits. At one month postoperatively, the MMSE scores of the four patients increased by an average of 0.8 points compared to preoperative levels. Additionally, the two patients who completed the ADAS-Cog assessments showed a decrease in their scores (reduced by 1.0 points and 11.3 points, respectively, compared to preoperative scores), indicating a certain degree of improvement in cognitive function during this period. The ADCS-ADL and NPI scores of four patients varied significantly, without showing any clear pattern.Conclusion:Lymphovenous anastomosis of the deep cervical lymph node-venous anastomosis may provide a new surgical intervention approach for AD, but further large-scale studies and long-term follow-up are needed to validate its safety and effectiveness.

With the widespread application of nuclear technology,the prevention and treatment of radiation damage have become significant issues in the fields of public health and medicine.This article reviews the adverse drug reactions and their monitoring for radioprotective drugs,and discusses their post-marketing re-evaluation in terms of safety,efficacy,economics,and quality standards.Research indicates that while there is a wide variety of radioprotective drugs,safety concerns are prevalent.Future efforts should focus on strengthening the monitoring and management of adverse drug reactions,optimizing drug safety,and exploring the potential of combined drug applications through multidisciplinary collaboration to enhance anti-radiation efficacy.

Radiation prevention and treatment drugs are a rapidly developing field.Radiation prevention and treatment drugs can be roughly divided into four categories:chemical synthetic drugs,biological products,natural plant extracts and traditional Chinese medicine compounds,which are widely used in medical,scientific research and other fields.This paper reviews the classification of radiation prevention and treatment drugs,which can be roughly divided into four categories:chemical synthetic drugs,biological products,natural plant extracts and traditional Chinese medicine compounds.At the same time,its mechanism of action and clinical application are elaborated in detail,and the risk assessment is carried out from the aspects of effectiveness,safety and drug interaction.Finally,the risk reduction strategies are summarized from the aspects of clinical medication specification and monitoring,continuous drug safety research,improvement of emergency reserve and support capacity and construction of full-cycle regulatory system,so as to provide reference for the rational application and further research of radiation prevention and treatment drugs.

Objective To explore the levels of Kruppel like factor 5(KLF5)and Dickkopf related protein 1(DKK1)in the serum of patients with primary liver cancer and analyze their diagnostic value.Methods A to-tal of 98 patients with primary liver cancer diagnosed in the hospital from March 2021 to March 2024 were in-cluded as the experimental group,and they were divided into early group(40 cases)and late group(58 cases)according to the severity of the disease.Meantime,101 patients with benign liver disease admitted to the hos-pital during the same period time were selected as the control group,and 100 healthy individuals who under-went the physical examination during the same period were selected as the healthy group.Serum samples were obtained from the groups and general clinical data were collected and organized.Enzyme linked immunosor-bent assay was applied to detect the levels of KLF5 and DKK1,and the differences and changes in serum KLF5 and DKK1 levels among the groups were analyzed.Multivariate Logistic regression was applied to ana-lyze the influencing factors of occurrence of primary liver cancer.Receiver operating characteristic curve was used to analyze the efficacy of serum KLF5 and DKK1 levels in the diagnosis of primary liver cancer.Results The levels of alpha fetoprotein(AFP),carcinoembryonic antigen(CEA),KLF5 and DKK1 in the ex-perimental group were significantly higher than those in control group and healthy group(P＜0.05).The lev-els of serum KLF5 and DKK1 were obviously different in patients with primary liver cancer with or without lymph node metastasis(P＜0.05).The levels of serum KLF5 and DKK1 in late group were higher than those in early group(P＜0.05).AFP,CEA,KLF5 and DKK1 levels were independent risk factors for primary liver cancer(P＜0.05).The area under the curve of the combined diagnosis of serum KLF5 and serum DKK1 was 0.928,with specificity of 93.10％,which was better than that of the individual diagnosis(Z combination-DKK1=2.186,Z combination-KLF5=3.386,P=0.029,P=0.001).Conclusion The levels of KLF5 and DKK1 in the serum of patients with primary liver cancer are obviously elevated and change with changes in the condition of dis-ease.The combined detection of KLF5 and DKK1 is of great significance for the diagnosis of primary liver cancer.

Helicobacter pylori(Hp)is a major pathogen that causes peptic ulcer,mucosa-associated tissue lymphoma and gastric cancer.Adhesion colonization is a prerequisite for the pathogenesis of Hp.After infec-tion,Hp first uses urease to neutralize gastric acid,and then it adapts to the environment through motility and chemotactic swimming of flagella.Finally,Hp adheres to gastric epithelial cells through outer membrane pro-teins.Some outer membrane proteins have the biological effect of transporting virulence factors,mediating in-flammation and assisting Hp to produce pathological changes on human body.This paper reviews the mecha-nism of main colonization factors of Hp.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.