In recent years, prone mechanical ventilation has been widely used to improve oxygenation dysfunction in critically ill patients. During prone mechanical ventilation, the patient's face is compressed for a long time, and due to the difficulty in changing, facial pressure injuries and ocular complications are common and severe. These complications increase patient discomfort, reduce their tolerance and compliance with prone ventilation, and even cause tracheal tube displacement or dislodgement, leading to significant clinical challenges. In order to change this situation, the medical staff of the department of critical care medicine of the Second People's Hospital of Hengshui and the department of critical care medicine of Harrison International Peace Hospital had developed an adjustable facial support pad for prone ventilation, and obtained a National Utility Model Patent of China (ZL 2022 2 3295294.4). The device is composed of a facial support platform, a supporting telescopic foot frame and so on. There are front, back, left and right adjustable tracks below the support cushion platform, which can be adjusted to the best state suitable for the patient's face shape, which can alleviate the facial pressure injuries and ocular complications caused by the different sizes of each patient's face, improve the patient's comfort, and reduce the incidence of facial pressure injury and the occurrence of ocular complications of the patient. The height of the platform is adjusted by the telescopic feet, and there is a hook assembly below, which can be fixed by the clamp of the ventilator tubing, so as to prevent the ventilator tubing from pulling the endotracheal intubation due to the gravity of condensation, resulting in the displacement or even prolapse of the tracheal intubation, and reducing the occurrence of adverse events of tracheal intubation. It is worth promoting in the clinic.
Humans ; Respiration, Artificial/methods* ; Prone Position ; Equipment Design ; Face

Objective This study aims to evaluate the therapeutic efficacy of Compound Fufangteng Mixture(CFM)on myocardial fibrosis(MF)and explore its action targets and mechanisms through a combination of animal pharmacodynamics,cell biology,and network pharmacology approaches.Methods Thirty-five male C57BL/6J mice were divided into the normal group,model group,CFM low-dose(0.72 g/kg)group,CFM high-dose(1.44 g/kg)group,and sacubitril valsartan sodium group(20 mg/kg)based on random number table,with 7 mice in each group.Except for the normal group,the mice in the other groups were subcutaneously injected with isoproterenol(20 mg/kg)at multiple points once daily for 21 consecutive days to establish the MF model.The CFM groups were pre-administered by gavage 3 days before modeling,the sacubitril valsartan sodium group was administered starting from the day of modeling,and the normal group and model group were given an equal volume of distilled water.The active ingredients in CFM were analyzed using ultra-performance liquid chromatography(UPLC).On days 7,14,and 21 of modeling,the left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),left ventricular end-diastolic diameter(LVIDd),and left ventricular end-systolic diameter(LVIDs)of mice were detected by ultrasound.The degree of myocardial fibrosis in mice was assessed by Masson staining.The levels of transforming growth factor-β1(TGF-β1),α-smooth muscle actin(α-SMA),type I collagen(COL I),and type Ⅲcollagen(COL Ⅲ)in the myocardial tissue of mice were detected by enzyme-linked immunosorbent assay(ELISA).The average fluorescence intensity of α-SMA in myocardial tissue was detected by immunofluorescence.In addition,by integrating Cellular Thermal Shift Assay(CETSA),QE proteomic analysis,and network pharmacology techniques,we systematically explored the potential core targets and mechanisms of action by which CFM improves MF,and validated these findings using western blotting analysis.Results Main eight chemical components were identified from CFM.Compared with the normal group,the model group exhibited a decrease in LVEF and LVFS,an increase in LVIDd and LVIDs,a higher heart weight to tibia length ratio,and an increased collagen volume fraction(P<0.05),along with aggravated MF.Concurrently,the myocardial tissue showed elevated levels of TGF-β1,α-SMA,COL I,and COL Ⅲ(P<0.05),with enhanced α-SMA fluorescence signal intensity.In comparison to the model group,all groups of CFM and the sacubitril valsartan sodium group demonstrated an increase in LVEF and LVFS,and a decrease in LVIDd,LVIDs,and the heart weight to tibia length ratio(P<0.05).Simultaneously,the collagen volume fraction decreased,and the levels of TGF-β1,α-SMA,COL I,and COL Ⅲ in myocardial tissue were down-regulated(P<0.05).The degree of MF was reduced,and the fluorescence signal intensity of α-SMA expression was weakened.Furthermore,the combined analysis of CETSA,QE proteomics,and network pharmacology revealed that heat shock protein A family member 8(HSPA8)may be a potential core target for CFM in ameliorating MF.CETSA-western blotting analysis further confirmed that CFM could enhance the thermal stability of HSPA8 protein and down-regulate the relative expression level of HSPA8 protein in mouse myocardial tissue(P<0.05).Conclusion CFM can ameliorate isoproterenol-induced cardiac dysfunction in mice,reduce collagen deposition,and reverse the pathological progression of MF.The underlying mechanism may be associated with the regulation of HSPA8.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

OBJECTIVE: To observe the effects of acupoint catgut embedding (ACE) on gut microbiota and fecal short-chain fatty acids (SCFAs) levels in patients with Parkinson's disease (PD) with constipation. METHODS: A total of 80 PD patients with constipation were randomly divided into an observation group and a control group, 40 cases in each group. Additionally, 40 healthy individuals were recruited as a healthy control group. The control group received conventional Western medical treatment for PD combined with polyethylene glycol (PEG), once daily for eight weeks. The observation group received additional ACE treatment at bilateral Tianshu (ST25), Zusanli (ST36), and Shangjuxu (ST37), once every two weeks for eight weeks. The healthy control group received no intervention. The spontaneous bowel movements (SBMs) per week and patient assessment of constipation quality of life (PAC-QOL) scores were assessed at baseline and after treatment in the two groups. Fecal samples were collected at the end of treatment for the observation and the control groups and at baseline for the healthy control group. Gut microbiota composition and diversity were analyzed using 16S rRNA method, and SCFA levels were measured using high-performance liquid chromatography (HPLC). RESULTS: Compared before treatment, the observation group showed a significant increase in SBMs (P<0.01), and PAC-QOL scores including physical discomfort, psychosocial discomfort, worry and concern, and total score were significantly reduced (P<0.01) after treatment; the control group also showed a reduction in PAC-QOL total score after treatment (P<0.01). After treatment, the observation group had significantly more SBMs (P<0.01), and lower PAC-QOL physical discomfort, psychosocial discomfort, worry and concern scores, and total score (P<0.01), and higher PAC-QOL satisfaction score (P<0.01) than the control group. Compared with the healthy control group, the control group showed decreased Chao1 and Ace indices (P<0.01). Compared with the healthy control group, the relative abundance of Prevotella and Roseburia was increased (P<0.05), while that of Enterobacter and Ruminococcus torques (six species in total) was decreased (P<0.05) in the control group. Compared with the control group, the observation group had increased relative abundance of Dialister, Parabacteroides, and Ruminococcus torques (P<0.05), and decreased relative abundance of Prevotella and Eubacterium ruminantium (P<0.05). Compared with the healthy control group, the control group had increased fecal SCFA levels (P<0.05); compared with the control group, the observation group had reduced fecal SCFA levels (P<0.05). Compared with the healthy control group, acetic acid, propionic acid, and butyric acid levels were elevated in the control group (P<0.05); compared with the control group, acetic acid, propionic acid, and butyric acid levels were decreased in the observation group (P<0.05). CONCLUSION ACE could increase spontaneous bowel movements and improve the quality of life in PD patients with constipation, which may be related to the regulation of gut microbiota composition and SCFA levels.
Humans ; Constipation/metabolism* ; Male ; Gastrointestinal Microbiome ; Acupuncture Points ; Female ; Middle Aged ; Parkinson Disease/complications* ; Aged ; Fatty Acids, Volatile/metabolism* ; Catgut ; Feces/microbiology* ; Acupuncture Therapy ; Quality of Life ; Adult

Objective:To explore the current status and latent profiles of home care needs among caregivers of post-stroke dysphagia (PSD) patients, providing evidence for precision nursing interventions.Methods:Caregivers of PSD patients hospitalized at Shanghai Baoshan Hospital of Integrated Traditional Chinese and Western Medicine were selected as the study subjects through convenience sampling from December 2022 to December 2023. A cross-sectional survey was conducted through General Information Questionnaire for PSD Patients and Caregivers, Caregiver Competence Questionnaire for Dysphagia Patients, Zarit Caregiver Burden Interview, and Home Care Needs Scale for Primary Caregivers of Stroke Patients. Latent categories of home care needs among PSD patients' caregivers were identified through latent profile analysis. Influencing factors of latent categories were explored based on univariate analysis and multivariable logistic regression.Results:A total of 168 questionnaires were distributed, with 162 valid questionnaires recovered, yielding an effective response rate of 96.42%. Among the 162 patients, 82 were male and 80 were female, with an age of 78(68, 84) years.Among the 162 caregivers, 51 were male and 111 were female, with an age of 60(52, 68) years. The score of home care needs for primary caregivers was (89.89 ± 15.75) points. Based on the level of home care needs, caregivers were divided into four latent categories: skilled type-low demand, balanced type-medium demand, unfamiliar type-high demand, skilled type - high demand, accounting for 32.1%(52/162), 40.1%(65/162), 8.7%(14/162), and 19.1%(31/162), respectively. Whether the patient had pneumonia, caregiver gender, and caregiver education level were found as influencing factors for home care needs through multivariate Logistic regression analysis ( OR values were 0.10 to 13.88, all P<0.05). Conclusions:The home care needs of caregivers for PSD patients are at a moderate-to-high level and exhibit heterogeneity. Clinical nursing staff should implement targeted interventions to promote the recovery of PSD patients based on caregivers' categorical characteristics

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

OBJECTIVE To explore the risk factors for postoperative surgical site infection(SSI)in the neurosur-gery department patients undergoing craniocerebral surgeries and establish Nomogram prediction model and verify it.METHODS A total of 1 265 patients who underwent craniocerebral surgeries in neurosurgery department of the First Hospital of Quanzhou City from Jan.2021 to Dec.2022 were recruited as the research subjects.The risk factors for the postoperative SSI were explored by logistic regression model.The Nomogram prediction model was established based on the independent risk factors that were screened by logistic regression analysis,and the model was verified.RESULTS Among 1 265 patients who underwent the craniocerebral surgeries,68 had SSI,with the infection rate of 5.38％.Diabetes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days were the independent risk factors for the postoperative SSI in the patients undergoing craniocerebral surgeries(P＜0.05).The area under the receiver operating characteristic(ROC)curve(AUC)of the established Nomogram pre-diction model was 0.842 in the training group,0.863 in the verification group.the calibration curves were drawn,the goodness of fit of the established Nomogram risk prediction model was assessed by means of Hosmer-Leme-show test;the predicted probability of SSI was highly consistent with the actual probability of infection,with the modeling group(P=0.851),the validation group(P=0.893).CONCLUSIONS The postoperative SSI in the neurosurgery department patients undergoing craniocerebral surgeries is closely associated with the diabe-tes mellitus,NNIS score no less than 2 points,NRS2002 score no less than 3 points,operation duration no less than 4.33 hours and drainage tube indwelling time more than 3 days.The established Nomogram prediction model has high prediction capability and can accurately assess the risk of SSI in the patients.

From the natural-philosophical model of medicine in ancient Greece to the modern bio-psycho-social par-adigm,the evolution of medical models has always been shaped by philosophy.In classical antiquity,medicine and philosophy were closely intertwined;the natural-philosophical model,exemplified by Hippocrates,emphasized the human body as an integrated whole.During the Renaissance,the rise of experimental science challenged traditional philosophical systems and pushed medicine toward empirical investigation.In the late twentieth century,the bio-psycho-social model emerged to address the limitations of the purely biomedical approach.In the twenty-first centu-ry,the advent of artificial intelligence is driving a new transformation in medicine and continually prompting reflec-tion on the future direction of medical models and their underlying philosophical significance.

Objective This study aims to evaluate the therapeutic efficacy of Compound Fufangteng Mixture(CFM)on myocardial fibrosis(MF)and explore its action targets and mechanisms through a combination of animal pharmacodynamics,cell biology,and network pharmacology approaches.Methods Thirty-five male C57BL/6J mice were divided into the normal group,model group,CFM low-dose(0.72 g/kg)group,CFM high-dose(1.44 g/kg)group,and sacubitril valsartan sodium group(20 mg/kg)based on random number table,with 7 mice in each group.Except for the normal group,the mice in the other groups were subcutaneously injected with isoproterenol(20 mg/kg)at multiple points once daily for 21 consecutive days to establish the MF model.The CFM groups were pre-administered by gavage 3 days before modeling,the sacubitril valsartan sodium group was administered starting from the day of modeling,and the normal group and model group were given an equal volume of distilled water.The active ingredients in CFM were analyzed using ultra-performance liquid chromatography(UPLC).On days 7,14,and 21 of modeling,the left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),left ventricular end-diastolic diameter(LVIDd),and left ventricular end-systolic diameter(LVIDs)of mice were detected by ultrasound.The degree of myocardial fibrosis in mice was assessed by Masson staining.The levels of transforming growth factor-β1(TGF-β1),α-smooth muscle actin(α-SMA),type I collagen(COL I),and type Ⅲcollagen(COL Ⅲ)in the myocardial tissue of mice were detected by enzyme-linked immunosorbent assay(ELISA).The average fluorescence intensity of α-SMA in myocardial tissue was detected by immunofluorescence.In addition,by integrating Cellular Thermal Shift Assay(CETSA),QE proteomic analysis,and network pharmacology techniques,we systematically explored the potential core targets and mechanisms of action by which CFM improves MF,and validated these findings using western blotting analysis.Results Main eight chemical components were identified from CFM.Compared with the normal group,the model group exhibited a decrease in LVEF and LVFS,an increase in LVIDd and LVIDs,a higher heart weight to tibia length ratio,and an increased collagen volume fraction(P<0.05),along with aggravated MF.Concurrently,the myocardial tissue showed elevated levels of TGF-β1,α-SMA,COL I,and COL Ⅲ(P<0.05),with enhanced α-SMA fluorescence signal intensity.In comparison to the model group,all groups of CFM and the sacubitril valsartan sodium group demonstrated an increase in LVEF and LVFS,and a decrease in LVIDd,LVIDs,and the heart weight to tibia length ratio(P<0.05).Simultaneously,the collagen volume fraction decreased,and the levels of TGF-β1,α-SMA,COL I,and COL Ⅲ in myocardial tissue were down-regulated(P<0.05).The degree of MF was reduced,and the fluorescence signal intensity of α-SMA expression was weakened.Furthermore,the combined analysis of CETSA,QE proteomics,and network pharmacology revealed that heat shock protein A family member 8(HSPA8)may be a potential core target for CFM in ameliorating MF.CETSA-western blotting analysis further confirmed that CFM could enhance the thermal stability of HSPA8 protein and down-regulate the relative expression level of HSPA8 protein in mouse myocardial tissue(P<0.05).Conclusion CFM can ameliorate isoproterenol-induced cardiac dysfunction in mice,reduce collagen deposition,and reverse the pathological progression of MF.The underlying mechanism may be associated with the regulation of HSPA8.