OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

Objective To investigate the relationship between serum glucagon-like peptide-1(GLP-1),monocyte chemoattractant protein-1(MCP-1),insulin-like growth factor binding protein-3(IGFBP-3)and glycolipid metabolism,bone metabolism and microvascular complications(MC)in children with type 1 diabe-tes mellitus(T1DM).Methods A total of 211 children with T1DM(T1DM group)admitted to Handan Cen-tral Hospital,Xingtai Traditional Chinese Medicine Hospital,Baoding First Central Hospital and Handan Ma-ternal and Child Health Hospital from January 2021 to February 2023 were selected,patients were divided into MC group(63 cases)and non-MC group(148 cases)according to whether MC was complicated within 1 year,and 108 healthy children who underwent physical examination during the same period were selected as control group.The levels of serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism indexes[fasting plasma glucose(FPG),fasting insulin(FINS),glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)]and bone metabolism indexes[bone specific alkaline phosphatase(BALP),osteocalcin(OST),type I collagen cross-linked C-terminal peptide(CTX)]were detec-ted.The correlation between serum GLP-1,MCP-1,IGFBP-3 and glucose and lipid metabolism,bone metabo-lism in children with T1DM were analyzed by Pearson and Spearman correlation coefficient.Taking MC in children with T1DM as the dependent variable,the influencing factors were determined by multivariate uncon-ditional Logistic regression model,and the predictive value of serum GLP-1,MCP-1 and IGFBP-3 for MC were analyzed by receiver operating characteristic curve.Results The levels of serum GLP-1,FINS,HDL-C,BALP,OST and CTX in the T1DM group were lower than those in the control group,while the levels of MCP-1,IGFBP-3,FPG,HbA1c,HOMA-IR,TG and LDL-C in the T1DM group were higher than those in the control group,the differences were statistically significant(P<0.05).Serum GLP-1 in children with T1DM was negatively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and positively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).MCP-1 and IGFBP-3 were positively correlated with FPG,HbA1c,HOMA-IR,TG and LDL-C,and negatively correlated with FINS,HDL-C,BALP,OST and CTX(P<0.05).Follow-up for 1 year,the incidence of MC in 211 children with T1DM was 29.86%(63/211).Elevated HbA1c,HOMA-IR,LDL-C,MCP-1 and IGFBP-3 were independent risk factors for MC in children with T1DM,and elevated GLP-1 was an independent protective factor(P<0.05).The area under the curve of ser-um GLP-1,MCP-1 and IGFBP-3 combined to predict MC in children with T1DM was 0.919,which was grea-ter than 0.781,0.788 and 0.794 predicted by serum GLP-1,MCP-1 and IGFBP-3 alone(P<0.05).Conclu-sion The decrease of serum GLP-1 level and the increase of MCP-1 and IGFBP-3 levels are related to glyco-lipid metabolism,bone metabolism disorder and MC in children with T1DM,the combined application of ser-um GLP-1,MCP-1 and IGFBP-3 has a good predictive value for MC in children with T1DM.

Objective To systematically evaluate the methodological quality and the measurement attributes of the assessment tools for risk of falls perception in the elderly,therefore to provide evidence-based references for medical staff to select a proper assessment tool.Methods Literature on studies of the assessment tools for risk of falls perception in the elderly was retrieved across databases and websites including Medline,Embase,PubMed,Web of Science,CINAHL,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP and China Biology Medicine(CBM).The retrieval period was from the inception of the databases to 1st June,2024.Two researchers independently screened the retrieved literature and extracted the data.The bias risk list and quality standards of the consensus-based standards for the selection of health measurement instruments(COSMIN)were used to systematically evaluate the attributes of the assessment tools.Results A total of 22 studies were included,covering 21 scales for the risk of falls perception in the elderly.All the scales had certain risks of bias,and none of them reported cross-cultural validity/measurement equivalence and measurement error.The fall risk questionnaire(FRQ)was rated as Class C recommendation due to the high-quality evidences indicated its"inadequate"internal consistency and responsiveness.The remaining scales were rated as Class B recommendation due to their uncertainty in content validity.Conclusion In comparison with the assessment tools for risk of falls perception in the elderly,the self-awareness of falls in elderly scale(SAFE,a primary choice)and the fall risk perception scale for the elderly in community(FRPSE,the secondary choice)are recommended for their comprehensive structure of measurement and relatively complete evaluation of measurement.However,further studies are required to validate the clinical applicability and measurement attributes of the SAFE and FRPSE.

The red doctor culture runs through the development process of China’s red health undertakings. It is a unity of revolutionary culture， health culture， and educational culture， providing rich educational resources for ideological and political education in medical colleges and universities. From the perspective of historical logic， red doctor culture is rooted in the traditional medical ethics thought of “medicine is the art of benevolence” in ancient China， as well as has evolved alongside the century-long development of the health and well-being undertakings led by the Communist Party of China. From the perspective of theoretical logic， red doctor culture is closely related to Xi Jinping Thought on Culture， the principle of the dialectical relationship between social existence and social consciousness， and the theory of cultural leadership. From the perspective of practical logic， it is necessary to clarify the practical path from three aspects， namely accurately grasping the Marxist theoretical foundation of the red doctor culture and highlighting its orientation of the ideological and political education of medical students； making effective use of existing resources of red doctor culture to improve the content of ideological and political education and consolidate the foundation of red doctor literacy； optimizing the construction of teaching teams for ideological and political theory courses in medical colleges and universities. From the perspective of value orientation， the red doctor culture is conducive to cultivating the professional ethics spirit of medical students， meeting the teaching needs of ideological and political theory courses in medical colleges and universities， and assisting the construction of the healthy China initiative.

Objective:To investigate the clinical data, drug resistance and treatment prognosis of Cryptococcus neoformans isolated from patients with acquired immunodeficiency syndrome(AIDS) in a hospital in Shanghai. Methods:The clinical data of AIDS patients with Cryptococcus neoformans infection in Shanghai Public Health Clinical Center from January 2014 to December 2023, and the drug sensitivity to 5 antifungal drugs in vitro, treatment and prognosis were retrospectively analyzed. Results:From January 2014 to December 2023, there were 295 AIDS patients with Cryptococcus neoformans infection in our hospital, with 255 males and 40 females. CD4 + T lymphocyte counts ≤100 cells/μl were detected in 251 patients. A total of 384 strains of Cryptococcus neoformans were isolated from the 295 patients, with the highest detection rate in cerebrospinal fluid samples (65.9%, 253/384), followed by blood samples (29.4%, 113/384). The sensitivity of 384 strains of Cryptococcus neoformans to 5-fluorocytosine was the highest (98.5%, 379/384), followed by fluconazole (95.6%, 367/384) and amphotericin B (95.3%, 366/384). After treatment against cryptococcal infection, 252 patients (86.0%, 252/293) were discharged and 20 patients (6.8%, 20/293) died. The other 2 cases were not treated for cryptococcal infection. Conclusions:As Cryptococcus neoformans is an important pathogen of AIDS patients, clinicians should actively carry out laboratory examination of Cryptococcus and rational drug use according to the results of drug sensitivity test, while alert to the occurrence of drug resistance.

Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

Objective:The aim of this study is to analyse the clinical characteristics of Special clinical types of lung cancer nodules with "small tumors and big metastases" .Methods:From Jan. 2019 to Nov. 2024, patients with stage T1 solid lung cancer who were pathologically confirmed in the First Affiliated Hospital of Chongqing Medical University were prospectively collected and divided into lung cancer nodule with metastasis group (study group) and stage Ia lung cancer group (control group). The differences in clinical, imaging, pathological and molecular features between the two groups were compared, and the differences in the distribution of metastases in the study group and in patients with or without bone metastasis were analyzed.Results:A total of 827 patients with an average age of 62.65±11.01 years were included, including 425 in the study group and 402 in the control group. The proportion of males, number of smokers, nodule size and EGFR mutation rate in the study group were significantly higher than those in the control group (all P<0.05). Stage IV patients accounted for 63.76% in the study group, among which bone metastasis patients accounted for the highest proportion (51.66%), and alkaline phosphatase, calcium and phosphorus were significantly increased. Conclusions:Patients with smoking, male and solid lung cancer nodules are more likely to have "small tumor and large metastasis", and bone metastasis is the most common distant metastatic site. The increase of alkaline phosphatase, calcium and phosphorus is helpful for early identification of bone metastases.

The translation of genetic findings from genome-wide association studies into actionable therapeutics persists as a critical challenge in Alzheimer's disease (AD) research. Here, we present PI4AD, a computational medicine framework that integrates multi-omics data, systems biology, and artificial neural networks for therapeutic discovery. This framework leverages multi-omic and network evidence to deliver three core functionalities: clinical target prioritisation; self-organising prioritisation map construction, distinguishing AD-specific targets from those linked to neuropsychiatric disorders; and pathway crosstalk-informed therapeutic discovery. PI4AD successfully recovers clinically validated targets like APP and ESR1, confirming its prioritisation efficacy. Its artificial neural network component identifies disease-specific molecular signatures, while pathway crosstalk analysis reveals critical nodal genes (e.g., HRAS and MAPK1), drug repurposing candidates, and clinically relevant network modules. By validating targets, elucidating disease-specific therapeutic potentials, and exploring crosstalk mechanisms, PI4AD bridges genetic insights with pathway-level biology, establishing a systems genetics foundation for rational therapeutic development. Importantly, its emphasis on Ras-centred pathways-implicated in synaptic dysfunction and neuroinflammation-provides a strategy to disrupt AD progression, complementing conventional amyloid/tau-focused paradigms, with the future potential to redefine treatment strategies in conjunction with mRNA therapeutics and thereby advance translational medicine in neurodegeneration.

Primary aldosteronism(PA) is the most common endocrine cause of secondary hypertension and is characterized by hypertension, hypokalemia, suppressed renin, and inappropriately elevated aldosterone. Increasing evidence indicates disturbances in calcium homeostasis among patients with PA. The calcium-regulatory system encompasses calcium and phosphate, parathyroid hormone(PTH), and vitamin D. Patients with PA frequently exhibit hypocalcemia, hypophosphatemia, elevated PTH, and reduced vitamin D levels. Clarifying the contribution of calcium dysregulation to PA pathogenesis is clinically relevant for mitigating target-organ damage. This review summarizes: (1) the role of aberrant calcium signaling in the development of PA; (2) characteristic features of calcium homeostasis in PA; and (3) the interactions between the renin-angiotensin-aldosterone system(RAAS) and calcium-regulatory pathways. Overall, abnormalities in calcium signaling appear integral to the pathogenesis of PA, and disrupted calcium homeostasis may aggravate target-organ injury in affected patients.