Objective To explore the potential cross-sectional categories of health promotion behaviors in patients after PCI and analyze their influencing factors,so as to provide a reference for formulating targeted interventions to improve health promotion behaviors in patients after PCI.Methods A total of 242 patients who underwent PCI surgery in the Department of Cardiovascular Medicine of a tertiary hospital in Sichuan Province from February to May 2024 were selected by convenience sampling method.The general information questionnaire,the health promotion lifestyle scale,the health literacy scale for patients with chronic diseases,and the perceived social support scale were used to conduct the survey.The potential profile analysis of health promotion behaviors in patients after PCI was carried out,and the influencing factors were explored by univariate analysis and multiple logistic regression analysis.Results A total of 230 patients after PCI completed the study.The results of potential profile analysis showed that the health promotion behaviors of patients after PCI could be divided into three potential profiles:"low health promotion-poor behavior group"(n=71,30.9%),"medium health promotion behavior group"(n=53,23.0%),and"high health promotion-positive behavior group"(n=106,46.1%).Logistic regression analysis showed that medical payment methods,the number of chronic diseases,whether they had received chronic disease-related knowledge guidance,health literacy,and social support were the influencing factors of the potential profile of health promotion behaviors of patients after PCI(all P<0.05).Conclusion The health promotion behaviors of patients after PCI have obvious categorical characteristics.Nursing staff should formulate personalized intervention strategies according to the characteristics and influencing factors of each category,improve the health literacy and comprehension of social support of patients after PCI,and then improve their health promotion behaviors.

Objective:To explore the impact of body constitutional metabolic phenotype on the outcomes of hypertensive intracerebral hemorrhage (HICH) patients one year after onset.Methods:This study retrospectively studied the clinical data of 467 HICH patients admitted to the First People's Hospital of Lianyungang City from May 2021 to May 2023. Based on telephone follow-up after one year, the patients were categorized into two groups: a good outcome group (287 cases) and a poor outcome group (180 cases). According to the patients' body mass index (BMI) and metabolic status, the population was divided into six phenotypes: metabolically healthy with normal weight (MH-NW), metabolically healthy with overweight (MH-OW), metabolically healthy obesity (MHO), metabolically unhealthy normal weight (MU-NW), metabolically unhealthy with overweight (MU-OW), and metabolically unhealthy with obesity (MUO). The baseline data of the two groups were compared between two groups. The influencing factors of adverse outcomes in patients with HICH one year after onset were analyzed. Quantitative data that conforms to normal distribution were represented by xˉ±s, and independent sample t-test was used for comparison between two groups; The measurement data of skewed distribution was represented by M ( Q1, Q3), and Mann Whitney U test was used for comparison between the two groups; Count data was presented as an example (%), and comparison between groups was conducted using the χ2 test. Multivariate logistic regression analysis was used to analyze the influencing factors of poor prognosis in HICH patients one year after onset. Results:BMI, high density lipoprotein cholesterol(HDL-C) levels and baseline Glasgow coma score(GCS) score in the poor outcome group were lower than those in the good outcome group [23.8 (22.4, 26.1) kg/m 2 vs. 25.0 (22.5, 27.4) kg/m 2, Z=-2.31, P=0.021; 1.1 (1.0,1.4) mmol/L vs. 1.3 (1.0,1.6) mmol/L, Z=-4.18, P<0.001; 14 (13,15) score vs. 10 (7,13) score, Z=-10.20, P<0.001]. The incidence of hemorrhage into the ventricle, cerebral hernia, pulmonary infection and hydrocephalus [43.3%(78/180) vs. 23.7% (68/287). 5.6%(10/180) vs. 0.7% (2/287), 48.9%(88/180) vs. 6.6% (19/287), 5.0%(9/180) vs. 1.4% (4/287), χ2=19.86, P<0.001, χ2=10.43, P<0.001, χ2=111.90, P<0.001, χ2=5.32, P=0.021], proportion of surgical removal of hematoma [41.1%(74/180) vs. 19.5% (56/287), χ2=25.69, P<0.001], systolic blood pressure [158 (141,173) mmHg vs. 152 (138,169) mmHg, Z=-2.18, P=0.029] and fasting blood glucose [6.9 (5.7,8.2) mmol/L vs. 6.3 (5.4,7.8) mmol/L, Z=-2.08, P=0.038] were higher than those in good outcome group. The metabolic phenotypes in the poor conversion group were as follows: 41 cases (22.8%) of MH-NW, 23 cases (12.8%) of MH-OW, 9 cases (5.0%) of MHO, 54 cases (30.0%) of MU-NW, 33 cases (18.3%) of MU-OW, and 20 cases (11.1%) of MUO. Conversely, the metabolic phenotypes in the good conversion group were as follows: 67 cases (23.3%) of MH-NW, 77 cases (26.8%) of MH-OW, 31 cases (10.8%) of MHO, 40 cases (13.9%) of MU-NW, 46 cases (16.0%) of MU-OW, and 26 cases (9.1%) of MUO. Regarding metabolic types, the poor conversion group comprised 73 healthy cases (40.6%) and 107 unhealthy cases (59.4%), whereas the good conversion group had 177 healthy cases (61.7%) and 110 unhealthy cases (38.3%). In terms of body mass, the poor conversion group included 94 cases (52.2%) of normal weight, 57 cases (31.7%) of overweight, and 29 cases (16.1%) of obesity. Conversely, the good conversion group had 108 cases (37.6%) of normal weight, 122 cases (42.5%) of overweight, and 57 cases (19.9%) of obesity.There were statistically significant differences in the composition ratios of physical metabolic phenotype, metabolic type, and xBMI type between the two groups of patients ( χ2=29.56, P<0.001, χ2=19.83, P<0.001, χ2=9.68, P=0.008). Multivariate Logistic regression analysis showed that after adjusting for other risk factors related to the prognosis of HICH, HDL-C ( OR=0.30, 95% CI: 0.12-0.75, P=0.010), admission GCS score ( OR=0.71, 95% CI:0.64-0.79, P<0.001), MH-OW ( OR=0.38, 95% CI: 0.17-0.82, P=0.013) and MHO ( OR=0.30, 95% CI:0.09-0.99, P=0.048) were all protective factors for adverse outcomes in patients with HICH 1 year after the onset of the disease, and hemorrhage into the ventricle ( OR=2.46, 95% CI:1.41-4.32, P=0.002) and pulmonary infection ( OR=9.13, 95% CI: 4.78- 17.44, P<0.001) were risk factors for adverse outcomes. Conclusions:MH-OW and MHO are beneficial to the prognosis of HICH patients 1 year after the onset of HICH. The secondary prevention of HICH patients should pay attention to the BMI level and comprehensive metabolic status of the patients.

Pancreaticoduodenectomy (PD) stands as one of the most challenging landmark procedures in general surgery. Postoperative pancreatic fistula (POPF), a common complication following PD, predisposes patients to secondary pathologies and remains difficult to avoid. Reducing its incidence and mitigating its impact have become focal points in pancreatic surgical research. This article comprehensively reviews domestic and international literature to systematically analyze key factors influencing POPF across three phases: preoperative, intraoperative, and postoperative management. By gaining deeper insights into the pathogenesis of POPF, this review aims to enhance clinical understanding among healthcare professionals, facilitate the implementation of preventive strategies, and offer novel perspectives for minimizing postoperative fistula risks.

COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans ; Aortic Valve Stenosis/complications* ; Aged ; Hypertension, Pulmonary/mortality* ; Male ; Female ; Transcatheter Aortic Valve Replacement ; Aged, 80 and over ; Risk Assessment/methods* ; Proportional Hazards Models ; Kaplan-Meier Estimate ; Retrospective Studies

Melanoma is characterized by high malignancy, ranking the third among skin malignancies, and is associated with lack of specific treatment options and poor prognosis. Therefore, the development of effective therapies for melanoma is imperative. A critical challenge in addressing subcutaneous disease lies in overcoming the skin barrier. In this study, we engineered a microneedle (MN) system that integrates chemotherapy, photothermal therapy (PTT), and targeted therapy to enhance anti-tumor efficacy while effectively penetrating the skin barrier. In vitro studies have demonstrated that the MN drug delivery system (DDS) can effectively penetrate the stratum corneum of the skin, deliver therapeutics to subcutaneous tumor sites, and establish a drug reservoir at these locations to exert anti-tumor effects. Cellular experiments indicated that the engineered PTT chemotherapy-targeted MNs can be internalized by tumor cells, exhibiting enhanced cytotoxicity against them. In vivo pharmacological investigations revealed that the combination of PTT and chemotherapy delivered via this MN DDS produced synergistic anti-tumor effects, achieving a tumor inhibition rate of up to 98.15%. This in situ DDS minimizes involvement with other organs, significantly reducing chemotherapy-related side effects. In summary, the PTT chemotherapy-targeted MNs developed in this study demonstrate promising application potential by enhancing anti-tumor efficacy while minimizing adverse effects.

Diabetic cataract, a prevalent ocular complication of diabetes mellitus, arises from a complex interplay of pathological mechanisms, with oxidative stress and glycation stress playing central roles. Autophagy, a critical cellular self-protection mechanism, sustains intracellular homeostasis by selectively degrading damaged organelles and misfolded proteins, thereby counteracting the detrimental effects of oxidative and glycation stress under hyperglycemic conditions. Emerging evidence indicates a synergistic interaction between glycation stress and oxidative stress, which may exacerbate autophagic dysfunction and accelerate the onset and progression of diabetic cataract. However, the precise molecular mechanisms underlying this relationship remain incompletely understood. This review systematically examines the regulatory role of autophagy inthe pathogenesis of diabetic cataract, with a particular focus on how autophagic impairment influences disease progression under the combined effects of glycation and oxidative stress. By elucidating these mechanisms, the paper aims to provide novel insights into molecular diagnostic approaches and targeted therapeutic strategies for diabetic cataract.

Objective To explore the potential cross-sectional categories of health promotion behaviors in patients after PCI and analyze their influencing factors,so as to provide a reference for formulating targeted interventions to improve health promotion behaviors in patients after PCI.Methods A total of 242 patients who underwent PCI surgery in the Department of Cardiovascular Medicine of a tertiary hospital in Sichuan Province from February to May 2024 were selected by convenience sampling method.The general information questionnaire,the health promotion lifestyle scale,the health literacy scale for patients with chronic diseases,and the perceived social support scale were used to conduct the survey.The potential profile analysis of health promotion behaviors in patients after PCI was carried out,and the influencing factors were explored by univariate analysis and multiple logistic regression analysis.Results A total of 230 patients after PCI completed the study.The results of potential profile analysis showed that the health promotion behaviors of patients after PCI could be divided into three potential profiles:"low health promotion-poor behavior group"(n=71,30.9%),"medium health promotion behavior group"(n=53,23.0%),and"high health promotion-positive behavior group"(n=106,46.1%).Logistic regression analysis showed that medical payment methods,the number of chronic diseases,whether they had received chronic disease-related knowledge guidance,health literacy,and social support were the influencing factors of the potential profile of health promotion behaviors of patients after PCI(all P<0.05).Conclusion The health promotion behaviors of patients after PCI have obvious categorical characteristics.Nursing staff should formulate personalized intervention strategies according to the characteristics and influencing factors of each category,improve the health literacy and comprehension of social support of patients after PCI,and then improve their health promotion behaviors.

Objective:To explore the impact of body constitutional metabolic phenotype on the outcomes of hypertensive intracerebral hemorrhage (HICH) patients one year after onset.Methods:This study retrospectively studied the clinical data of 467 HICH patients admitted to the First People's Hospital of Lianyungang City from May 2021 to May 2023. Based on telephone follow-up after one year, the patients were categorized into two groups: a good outcome group (287 cases) and a poor outcome group (180 cases). According to the patients' body mass index (BMI) and metabolic status, the population was divided into six phenotypes: metabolically healthy with normal weight (MH-NW), metabolically healthy with overweight (MH-OW), metabolically healthy obesity (MHO), metabolically unhealthy normal weight (MU-NW), metabolically unhealthy with overweight (MU-OW), and metabolically unhealthy with obesity (MUO). The baseline data of the two groups were compared between two groups. The influencing factors of adverse outcomes in patients with HICH one year after onset were analyzed. Quantitative data that conforms to normal distribution were represented by xˉ±s, and independent sample t-test was used for comparison between two groups; The measurement data of skewed distribution was represented by M ( Q1, Q3), and Mann Whitney U test was used for comparison between the two groups; Count data was presented as an example (%), and comparison between groups was conducted using the χ2 test. Multivariate logistic regression analysis was used to analyze the influencing factors of poor prognosis in HICH patients one year after onset. Results:BMI, high density lipoprotein cholesterol(HDL-C) levels and baseline Glasgow coma score(GCS) score in the poor outcome group were lower than those in the good outcome group [23.8 (22.4, 26.1) kg/m 2 vs. 25.0 (22.5, 27.4) kg/m 2, Z=-2.31, P=0.021; 1.1 (1.0,1.4) mmol/L vs. 1.3 (1.0,1.6) mmol/L, Z=-4.18, P<0.001; 14 (13,15) score vs. 10 (7,13) score, Z=-10.20, P<0.001]. The incidence of hemorrhage into the ventricle, cerebral hernia, pulmonary infection and hydrocephalus [43.3%(78/180) vs. 23.7% (68/287). 5.6%(10/180) vs. 0.7% (2/287), 48.9%(88/180) vs. 6.6% (19/287), 5.0%(9/180) vs. 1.4% (4/287), χ2=19.86, P<0.001, χ2=10.43, P<0.001, χ2=111.90, P<0.001, χ2=5.32, P=0.021], proportion of surgical removal of hematoma [41.1%(74/180) vs. 19.5% (56/287), χ2=25.69, P<0.001], systolic blood pressure [158 (141,173) mmHg vs. 152 (138,169) mmHg, Z=-2.18, P=0.029] and fasting blood glucose [6.9 (5.7,8.2) mmol/L vs. 6.3 (5.4,7.8) mmol/L, Z=-2.08, P=0.038] were higher than those in good outcome group. The metabolic phenotypes in the poor conversion group were as follows: 41 cases (22.8%) of MH-NW, 23 cases (12.8%) of MH-OW, 9 cases (5.0%) of MHO, 54 cases (30.0%) of MU-NW, 33 cases (18.3%) of MU-OW, and 20 cases (11.1%) of MUO. Conversely, the metabolic phenotypes in the good conversion group were as follows: 67 cases (23.3%) of MH-NW, 77 cases (26.8%) of MH-OW, 31 cases (10.8%) of MHO, 40 cases (13.9%) of MU-NW, 46 cases (16.0%) of MU-OW, and 26 cases (9.1%) of MUO. Regarding metabolic types, the poor conversion group comprised 73 healthy cases (40.6%) and 107 unhealthy cases (59.4%), whereas the good conversion group had 177 healthy cases (61.7%) and 110 unhealthy cases (38.3%). In terms of body mass, the poor conversion group included 94 cases (52.2%) of normal weight, 57 cases (31.7%) of overweight, and 29 cases (16.1%) of obesity. Conversely, the good conversion group had 108 cases (37.6%) of normal weight, 122 cases (42.5%) of overweight, and 57 cases (19.9%) of obesity.There were statistically significant differences in the composition ratios of physical metabolic phenotype, metabolic type, and xBMI type between the two groups of patients ( χ2=29.56, P<0.001, χ2=19.83, P<0.001, χ2=9.68, P=0.008). Multivariate Logistic regression analysis showed that after adjusting for other risk factors related to the prognosis of HICH, HDL-C ( OR=0.30, 95% CI: 0.12-0.75, P=0.010), admission GCS score ( OR=0.71, 95% CI:0.64-0.79, P<0.001), MH-OW ( OR=0.38, 95% CI: 0.17-0.82, P=0.013) and MHO ( OR=0.30, 95% CI:0.09-0.99, P=0.048) were all protective factors for adverse outcomes in patients with HICH 1 year after the onset of the disease, and hemorrhage into the ventricle ( OR=2.46, 95% CI:1.41-4.32, P=0.002) and pulmonary infection ( OR=9.13, 95% CI: 4.78- 17.44, P<0.001) were risk factors for adverse outcomes. Conclusions:MH-OW and MHO are beneficial to the prognosis of HICH patients 1 year after the onset of HICH. The secondary prevention of HICH patients should pay attention to the BMI level and comprehensive metabolic status of the patients.

Pancreaticoduodenectomy (PD) stands as one of the most challenging landmark procedures in general surgery. Postoperative pancreatic fistula (POPF), a common complication following PD, predisposes patients to secondary pathologies and remains difficult to avoid. Reducing its incidence and mitigating its impact have become focal points in pancreatic surgical research. This article comprehensively reviews domestic and international literature to systematically analyze key factors influencing POPF across three phases: preoperative, intraoperative, and postoperative management. By gaining deeper insights into the pathogenesis of POPF, this review aims to enhance clinical understanding among healthcare professionals, facilitate the implementation of preventive strategies, and offer novel perspectives for minimizing postoperative fistula risks.

Objective:To investigate the correlation between overweight or obesity defined by body mass index (BMI) and functional outcome in patients with hypertensive intracerebral hemorrhage (HICH).Methods:Patients with HICH admitted to the Department of Neurosurgery, the First People's Hospital of Lianyungang from October 2020 to February 2022 were included retrospectively. According to BMI, they were divided into underweight or normal group (<24 kg/m 2) and overweight or obese group (≥24 kg/m 2). At one year after onset, the functional outcome were evaluated using the modified Rankin Scale. 0-2 was defined as good outcome, while >2 were defined as poor outcome. Cox proportional hazards regression model was used to analyze the correlation between BMI and the outcome of patients. Results:A total of 394 patients with HICH were enrolled, including 263 males (66.8%), aged 60.2±12.0 years. At one year after onset, 145 patients (36.8%) had poor outcome and 54 (13.7%) died. Compared with the underweight or normal group, the overweight or obese group had a higher proportion of previous type 2 diabetes history, as well as higher baseline diastolic blood pressure, low-density lipoprotein cholesterol and liver enzyme levels, better early outcome after discharge, and lower mortality at 1 year (all P<0.05). Multivariate analysis showed that the overweight or obese group had significantly better functional outcome compared to the underweight or normal group (hazard ratio 0.598, 95% confidence interval 0.419-0.854; P=0.005), but there was no statistically significant difference in all-cause mortality risk (hazard ratio 1.201, 95% confidence interval, 0.462-3.126; P=0.707). Conclusion:The overweight or obese patients with HICH have significantly better functional outcome at one year after onset, indicating that the obesity paradox also exists in patients with HICH.