OBJECTIVE: To investigate the value of difference between hematocrit (HCT) and albumin (Alb) in predicting the prognosis of patients with sepsis. METHODS: A retrospective study was conducted on the septic patients hospitalized at the First Affiliated Hospital of Guangxi Medical University from January to October in 2024. Clinical data including gender, age, body mass index (BMI), history of hypertension or diabetes, vital signs on admission, and sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score, blood lactic acid (Lac), oxygenation index (PaO₂/FiO₂), hemoglobin (Hb), white blood cell count (WBC), platelet count (PLT), lymphocyte count (LYM), HCT, Alb, difference between HCT and Alb, bilirubin, scrum creatinine (SCr), and fibrinogen (Fib) within 48 hours of admission were collected. The 28-day prognosis of patients was also recorded. Binary multivariate Logistic regression analysis was used to identify risk factors for 28-day death in patients with sepsis. The predictive efficacy of the difference between HCT and Alb on 28-day death was evaluated using the receiver operator characteristic curve (ROC curve). RESULTS: Among 180 enrolled septic patients, 140 survived and 40 died on 28 days. Compared with the survival group, the patients in the death group was significantly older (years old: 64±16 vs. 55±15, P < 0.05), and had higher SOFA score, APACHE II score, and SCr [SOFA score: 6 (4, 9) vs. 3 (2, 5), APACHE II score: 13 (10, 18) vs. 8 (6, 11), SCr (μmol/L): 136 (70, 416) vs. 77 (58, 126), all P < 0.05] as well as lower Hb, PLT, HCT, difference between HCT and Alb, and Fib within 48 hours of admission [Hb (g/L): 90±30 vs. 106±79, PLT (×10⁹/L): 158 (57, 240) vs. 215 (110, 315), HCT: 0.258±0.081 vs. 0.333±0.077, difference between HCT and Alb: -6.52±7.40 vs. 1.07±7.63, Fib (g/L): 3.72±1.57 vs. 4.59±1.55, all P < 0.05]. No significant difference in gender, BMI, history of hypertension or diabetes, vital signs on admission, or other laboratory indicators was found between the two groups. Binary multivariate Logistic regression analysis revealed that age [odds ratio (OR) = 1.040, 95% confidence interval (95%CI) was 1.004-1.078, P = 0.030], APACHE II score (OR = 1.218, 95%CI was 1.038-1.430, P = 0.016), Hb (OR = 1.040, 95%CI was 1.014-1.068, P = 0.003), and difference between HCT and Alb (OR = 0.804, 95%CI was 0.727-0.889, P < 0.001) were independent risk factors for 28-day death of septic patients. ROC curve analysis showed that the area under the ROC curve (AUC) of difference between HCT and Alb for predicting 28-day death of septic patients was 0.764 (95%CI was 0.679-0.849, P < 0.001). A cut-off value of difference between HCT and Alb ≤ -5.35 yielded a sensitivity of 80.7% and specificity of 65.0%. CONCLUSIONS The difference between HCT and Alb at early admission is a valuable predictor of prognosis in septic patients. A difference ≤ -5.35 indicates an increased death risk of septic patients.
Humans ; Prognosis ; Sepsis/blood* ; Retrospective Studies ; Hematocrit ; Serum Albumin/analysis* ; Male ; Female ; Middle Aged ; Aged ; APACHE

Objective:To analyze the prevalence and risk factors of blindness and moderate to severe visual impairment among Han and Kazakh residents aged 50 years and older in Tacheng City, Xinjiang Uygur Autonomous Region.Methods:This study is a cross-sectional survey conducted using cluster random sampling from October 2015 to June 2018 in Emin County, Tacheng City, Xinjiang Uygur Autonomous Region. The study included individuals aged 50 years and older to survey blindness and moderate to severe visual impairment. Ophthalmological examinations combined with questionnaires were conducted to gather basic information. The data collected from the questionnaires included general demographic information and health conditions. The results of the eye examinations were used to diagnose a total of 12 risk factors including cataracts, glaucoma, pterygium, suspected glaucoma, glaucoma, and refractive errors. These risk factors were analyzed in relation to blindness and moderate to severe visual impairment. Univariate analysis was conducted first, followed by logistic regression to identify the significant factors.Results:A total of 2 114 patients were included in the final analysis, among which the prevalence of moderate to severe visual impairment was 18.54% (392/2 114), and the prevalence of blindness was 2.74% (58/2 114). Univariate analysis showed that blindness and moderate to severe visual impairment were associated with age ( χ2 = 32.97, P < 0.05), hypertension ( χ2 = 3.48, P < 0.05), age-related cataract ( χ2 = 17.43, P < 0.05), glaucoma ( χ2 = 3.90, P < 0.05), macular degeneration ( χ2 = 16.04, P < 0.05), diabetes ( χ2 = 3.09, P < 0.05), pterygium ( χ2 = 2.57, P < 0.05), and fundus arteriosclerosis ( χ2 = 2.31, P < 0.05). Multivariate logistic regression analysis indicated that moderate to severe visual impairment was correlated with age (50 to < 60 years: OR = 2.91, 95% CI: 0.44-13.45; 60 to < 70 years: OR = 3.52, 95% CI: 0.73-8.77; 70 to < 80 years: OR = 4.31, 95% CI: 0.85-8.96), ethnicity ( OR = 4.45, 95% CI: 0.56-5.95), sex ( OR = 0.47, 95% CI: 0.34-0.64), age-related cataract ( OR = 1.67, 95% CI: 1.05-2.65), glaucoma ( OR = 2.97, 95% CI: 1.67-5.30), and coronary heart disease ( OR = 2.56, P < 0.05). Blindness was correlated with age (70-79 years: OR = 1.54, 95% CI: 1.12-2.11), sex ( OR = 0.67, 95% CI: 0.34-0.64), glaucoma ( OR = 1.65, 95% CI: 0.42-6.49), diabetes ( OR = 2.05, 95% CI: 1.35-3.09), and coronary heart disease ( OR = 1.92, 95% CI: 1.07-3.43). Among these, age (70-79 years), glaucoma, diabetes, and coronary heart disease were identified as risk factors for blindness, while sex was observed as a protective factor against blindness in this region. Based on univariate and multivariate analyses as well as clinical practice, it was concluded that age (50 to < 60 years: OR = 4.42, 95% CI: 1.31-14.92; 60 to < 70 years: OR = 4.49, 95% CI: 1.70-11.84; 70 to < 80 years: OR = 3.19, 95% CI: 1.29-7.87), age-related cataract ( OR = 1.67, 95% CI: 1.05-2.65), and glaucoma ( OR = 2.97, 95% CI: 1.67-5.30) were identified as significant risk factors for moderate to severe visual impairment. Glaucoma ( OR = 1.65, 95% CI: 0.42-6.49) and diabetes ( OR = 2.05, 95% CI: 1.35-3.09) were identified as the main risk factors for blindness in this region (both P < 0.05). Conclusions:In Tacheng City, Xinjiang Uygur Autonomous Region, the prevalence rates of moderate to severe visual impairment and blindness among Han and Kazakh residents are relatively high. Age-related cataracts and glaucoma are the primary causes, while age and diabetes are the main risk factors.

Objective To investigate the current situation of the ventilator use and management in secondary and tertiary medical institutions in Sichuan Province to provide references for management and training of ventilator users.Methods A questionnaire survey involving in 235 nurses from 13 secondary and tertiary medical institutions in Sichuan Province was conducted in terms of general information of the respondents,pipeline connection and parameter setup of ventilators,cleaning,sterilization and maintenance of ventilators,identification and treatment of ventilator alarms and hospital-acquired infection prevention and control.Results The results showed 20.4％of the respondents were nurses from critical care departments,and 79.6％of the respondents underwent the training for using the ventilator in their department;91.9％of the respondents could conduct ventilator self-testing by connecting the simulated lungs after the ventilator was switched on;66.4％of the respondents indicated that the initial parameters of the ventilator were set by the doctor;60.9％of the respondents proved that the performance monitoring and routine maintenance of the ventilator were carried out by the nurse;63.4％of the respondents showed disposable lines were commonly used in the departments.There were 89.8％of the respondents said the daily sterilization and management of the ventilator were performed by the nurse;46.0％of the respondents expressed the external surface of the ventilator was disinfected mainly with gamma disinfectant wipes;44.7％of the respondents indicated the external surface of the ventilator was sterilized every day;48.5％of the respondents said the internal airway of the ventilator was disinfected;57.0％of the respondents proved the disinfection was conducted after the expiratory flow sensors were used by any patient.There were 74.5％of the respondents that had paid attention to the ventilator waveform,and by the ventilator waveform only 21.3％were correct in determining whether there was secretion or fluid in the circuit and 22.1％in clarifying whether there was air leakage in the circuit.There were 59.1％of the respondents indicated that the closed suction tube was replaced once every 24 h;71.1％of the respondents could perform airbag pressure monitoring by the special pressure gauge.Conclusion Most of the nurses from secondary and tertiary medical institutions in Sichuan Province can use ventilators correctly,who have problems in disinfection specifications,infection prevention and control or recognition of ventilation waveform.It's suggested the training be strengthened to enhance the clinical nursing staffs in ventilator management.[Chinese Medical Equipment Journal,2025,46(3):75-80]

Objective To investigate the current situation of the ventilator use and management in secondary and tertiary medical institutions in Sichuan Province to provide references for management and training of ventilator users.Methods A questionnaire survey involving in 235 nurses from 13 secondary and tertiary medical institutions in Sichuan Province was conducted in terms of general information of the respondents,pipeline connection and parameter setup of ventilators,cleaning,sterilization and maintenance of ventilators,identification and treatment of ventilator alarms and hospital-acquired infection prevention and control.Results The results showed 20.4％of the respondents were nurses from critical care departments,and 79.6％of the respondents underwent the training for using the ventilator in their department;91.9％of the respondents could conduct ventilator self-testing by connecting the simulated lungs after the ventilator was switched on;66.4％of the respondents indicated that the initial parameters of the ventilator were set by the doctor;60.9％of the respondents proved that the performance monitoring and routine maintenance of the ventilator were carried out by the nurse;63.4％of the respondents showed disposable lines were commonly used in the departments.There were 89.8％of the respondents said the daily sterilization and management of the ventilator were performed by the nurse;46.0％of the respondents expressed the external surface of the ventilator was disinfected mainly with gamma disinfectant wipes;44.7％of the respondents indicated the external surface of the ventilator was sterilized every day;48.5％of the respondents said the internal airway of the ventilator was disinfected;57.0％of the respondents proved the disinfection was conducted after the expiratory flow sensors were used by any patient.There were 74.5％of the respondents that had paid attention to the ventilator waveform,and by the ventilator waveform only 21.3％were correct in determining whether there was secretion or fluid in the circuit and 22.1％in clarifying whether there was air leakage in the circuit.There were 59.1％of the respondents indicated that the closed suction tube was replaced once every 24 h;71.1％of the respondents could perform airbag pressure monitoring by the special pressure gauge.Conclusion Most of the nurses from secondary and tertiary medical institutions in Sichuan Province can use ventilators correctly,who have problems in disinfection specifications,infection prevention and control or recognition of ventilation waveform.It's suggested the training be strengthened to enhance the clinical nursing staffs in ventilator management.[Chinese Medical Equipment Journal,2025,46(3):75-80]

Objective:To evaluate the relationship between transverse sinus stenosis (TSS) and cerebral blood flow in normal adults based on four-dimensional flow (4D Flow) MRI.Methods:The study was a cross-sectional study. Totally 81 normal volunteers who underwent magnetic resonance venography (MRV) and 4D Flow MRI were prospectively enrolled at Beijing Friendship Hospital, Capital Medical University from January 2020 to December 2022. Based on MRV evaluation of transverse sinus dysplasia, the volunteers were divided into a dysplasia group (26 cases) and a non-dysplasia group (55 cases); The area of the stenosis and the normal transverse sinus at the distal end were measured. The degree of TSS and the bilateral average transverse sinus stenosis (BA-TSS) were calculated. TSS was determined using TSS levels of 1/3, 1/2, and 2/3 as thresholds, and was divided into three groups: no TSS group, unilateral TSS group, and bilateral TSS group, with 28, 39, and 14 cases, 37, 37, and 7 cases, and 43, 36, and 2 cases, respectively. Based on 4D Flow MRI, the blood flow of the internal carotid artery, vertebral artery, superior sagittal sinus, straight sinus, and transverse sinus distal and proximal ends were measured. The cerebral blood flow (bilateral internal carotid artery blood flow+bilateral vertebral artery blood flow), venous sinus return blood flow 1 (superior sagittal sinus blood flow+straight sinus blood flow), return blood flow 2 (sum of bilateral transverse sinus distal end blood flow), return blood flow 3 (sum of bilateral transverse sinus proximal end blood flow), and the ratio of return blood flow to cerebral blood flow were calculated. Independent sample t-test was used to compare the differences between the group with and without transverse sinus dysplasia; Single factor analysis of variance was used to compare the differences between the TSS free group, unilateral TSS group, and bilateral TSS group. Based on single factor linear regression, the relationships between BA-TSS and blood flow parameters were analyzed.Results:There was no statistically significant difference in various blood flow parameters between the group with and without transverse sinus dysplasia (all P>0.05). When using 1/3, 1/2, and 2/3 as thresholds, there was no statistically significant difference in various blood flow parameters between the non TSS group, unilateral TSS group, and bilateral TSS group (all P>0.05). BA-TSS was linearly positively correlated with cerebral blood flow (β=0.986, 95% CI 0.108-1.865, P=0.028), but not linearly correlated with return blood flow 1, 2, and 3 (all P>0.05). The degree of BA-TSS was linearly negatively correlated with return blood flow 1/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.009) and return blood flow 2/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.018), but not with return blood flow 3/cerebral blood flow ( P=0.076). Conclusion:The BA-TSS degree in normal adults is positively correlated with cerebral blood inflow and negatively correlated with the proportion of venous sinus outflow.

Objective:To analyze the prevalence and risk factors of blindness and moderate to severe visual impairment among Han and Kazakh residents aged 50 years and older in Tacheng City, Xinjiang Uygur Autonomous Region.Methods:This study is a cross-sectional survey conducted using cluster random sampling from October 2015 to June 2018 in Emin County, Tacheng City, Xinjiang Uygur Autonomous Region. The study included individuals aged 50 years and older to survey blindness and moderate to severe visual impairment. Ophthalmological examinations combined with questionnaires were conducted to gather basic information. The data collected from the questionnaires included general demographic information and health conditions. The results of the eye examinations were used to diagnose a total of 12 risk factors including cataracts, glaucoma, pterygium, suspected glaucoma, glaucoma, and refractive errors. These risk factors were analyzed in relation to blindness and moderate to severe visual impairment. Univariate analysis was conducted first, followed by logistic regression to identify the significant factors.Results:A total of 2 114 patients were included in the final analysis, among which the prevalence of moderate to severe visual impairment was 18.54% (392/2 114), and the prevalence of blindness was 2.74% (58/2 114). Univariate analysis showed that blindness and moderate to severe visual impairment were associated with age ( χ2 = 32.97, P < 0.05), hypertension ( χ2 = 3.48, P < 0.05), age-related cataract ( χ2 = 17.43, P < 0.05), glaucoma ( χ2 = 3.90, P < 0.05), macular degeneration ( χ2 = 16.04, P < 0.05), diabetes ( χ2 = 3.09, P < 0.05), pterygium ( χ2 = 2.57, P < 0.05), and fundus arteriosclerosis ( χ2 = 2.31, P < 0.05). Multivariate logistic regression analysis indicated that moderate to severe visual impairment was correlated with age (50 to < 60 years: OR = 2.91, 95% CI: 0.44-13.45; 60 to < 70 years: OR = 3.52, 95% CI: 0.73-8.77; 70 to < 80 years: OR = 4.31, 95% CI: 0.85-8.96), ethnicity ( OR = 4.45, 95% CI: 0.56-5.95), sex ( OR = 0.47, 95% CI: 0.34-0.64), age-related cataract ( OR = 1.67, 95% CI: 1.05-2.65), glaucoma ( OR = 2.97, 95% CI: 1.67-5.30), and coronary heart disease ( OR = 2.56, P < 0.05). Blindness was correlated with age (70-79 years: OR = 1.54, 95% CI: 1.12-2.11), sex ( OR = 0.67, 95% CI: 0.34-0.64), glaucoma ( OR = 1.65, 95% CI: 0.42-6.49), diabetes ( OR = 2.05, 95% CI: 1.35-3.09), and coronary heart disease ( OR = 1.92, 95% CI: 1.07-3.43). Among these, age (70-79 years), glaucoma, diabetes, and coronary heart disease were identified as risk factors for blindness, while sex was observed as a protective factor against blindness in this region. Based on univariate and multivariate analyses as well as clinical practice, it was concluded that age (50 to < 60 years: OR = 4.42, 95% CI: 1.31-14.92; 60 to < 70 years: OR = 4.49, 95% CI: 1.70-11.84; 70 to < 80 years: OR = 3.19, 95% CI: 1.29-7.87), age-related cataract ( OR = 1.67, 95% CI: 1.05-2.65), and glaucoma ( OR = 2.97, 95% CI: 1.67-5.30) were identified as significant risk factors for moderate to severe visual impairment. Glaucoma ( OR = 1.65, 95% CI: 0.42-6.49) and diabetes ( OR = 2.05, 95% CI: 1.35-3.09) were identified as the main risk factors for blindness in this region (both P < 0.05). Conclusions:In Tacheng City, Xinjiang Uygur Autonomous Region, the prevalence rates of moderate to severe visual impairment and blindness among Han and Kazakh residents are relatively high. Age-related cataracts and glaucoma are the primary causes, while age and diabetes are the main risk factors.

Objective:To evaluate the relationship between transverse sinus stenosis (TSS) and cerebral blood flow in normal adults based on four-dimensional flow (4D Flow) MRI.Methods:The study was a cross-sectional study. Totally 81 normal volunteers who underwent magnetic resonance venography (MRV) and 4D Flow MRI were prospectively enrolled at Beijing Friendship Hospital, Capital Medical University from January 2020 to December 2022. Based on MRV evaluation of transverse sinus dysplasia, the volunteers were divided into a dysplasia group (26 cases) and a non-dysplasia group (55 cases); The area of the stenosis and the normal transverse sinus at the distal end were measured. The degree of TSS and the bilateral average transverse sinus stenosis (BA-TSS) were calculated. TSS was determined using TSS levels of 1/3, 1/2, and 2/3 as thresholds, and was divided into three groups: no TSS group, unilateral TSS group, and bilateral TSS group, with 28, 39, and 14 cases, 37, 37, and 7 cases, and 43, 36, and 2 cases, respectively. Based on 4D Flow MRI, the blood flow of the internal carotid artery, vertebral artery, superior sagittal sinus, straight sinus, and transverse sinus distal and proximal ends were measured. The cerebral blood flow (bilateral internal carotid artery blood flow+bilateral vertebral artery blood flow), venous sinus return blood flow 1 (superior sagittal sinus blood flow+straight sinus blood flow), return blood flow 2 (sum of bilateral transverse sinus distal end blood flow), return blood flow 3 (sum of bilateral transverse sinus proximal end blood flow), and the ratio of return blood flow to cerebral blood flow were calculated. Independent sample t-test was used to compare the differences between the group with and without transverse sinus dysplasia; Single factor analysis of variance was used to compare the differences between the TSS free group, unilateral TSS group, and bilateral TSS group. Based on single factor linear regression, the relationships between BA-TSS and blood flow parameters were analyzed.Results:There was no statistically significant difference in various blood flow parameters between the group with and without transverse sinus dysplasia (all P>0.05). When using 1/3, 1/2, and 2/3 as thresholds, there was no statistically significant difference in various blood flow parameters between the non TSS group, unilateral TSS group, and bilateral TSS group (all P>0.05). BA-TSS was linearly positively correlated with cerebral blood flow (β=0.986, 95% CI 0.108-1.865, P=0.028), but not linearly correlated with return blood flow 1, 2, and 3 (all P>0.05). The degree of BA-TSS was linearly negatively correlated with return blood flow 1/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.009) and return blood flow 2/cerebral blood flow (β=-0.001, 95% CI -0.002-0, P=0.018), but not with return blood flow 3/cerebral blood flow ( P=0.076). Conclusion:The BA-TSS degree in normal adults is positively correlated with cerebral blood inflow and negatively correlated with the proportion of venous sinus outflow.

Objective:To compare the quality of sleep and rehabilitation after routine surgery versus day surgery in pediatric patients with snoring.Methods:This was a prospective study.Seventy pediatric patients with snoring, aged 4-6 yr, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, undergoing adenoidectomy and/or tonsillectomy in the Guangzhou Women and Children′s Medical Center from March to June 2023, were divided into routine surgery group (group R) and day surgery group (group D), with 35 cases in each group. A sleep-detecting bracelet was used to monitor the sleep status. The proportion of deep sleep, light sleep and rapid eye movement, sleep continuity score and the maximum and minimum heart rate were recorded on the night before surgery, the first and second night after surgery. Rehabilitation was assessed using Quality of Recovery-15 at 1 day before surgery and 24 and 48 h and 28 days after surgery.Results:Compared with group R, the maximum heart rate at the night before surgery was significantly decreased, the proportion of light sleep on the second night after surgery was increased, the proportion of rapid eye movement sleep on the second night after surgery was decreased, the scores for items on " getting support from hospital doctors and nurses", " feeling comfortable and in control", and " having a feeling of general well-being" and the total score of Quality of Recovery-15 were significantly decreased at 24 and 48 h after operation, and the score for items on " feeling rested" and " have had a good sleep" at 48 h after surgery was decreased in group D ( P<0.05). Conclusions:Pediatric patients with snoring have poor quality of early sleep and rehabilitation after day surgery compared with routine surgery.