1.Correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population
Dianhua DU ; Chunwei WU ; Lan MO ; Xuelin ZHANG ; Wen WU ; Yiping WANG ; Xian WU ; Bo WANG ; Shaohui FENG
Chinese Journal of Health Management 2025;19(4):286-291
Objective:To analyze the correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population.Methods:It was a cross-sectional analysis that employed a simple random sampling method to select 3 496 individuals who underwent healthy physical examinations and cerebrovascular function tests at the Physical Examination Center of the Affiliated Hospital of Guizhou Medical University from January to December 2022. The general information, physical examination data, biochemical examination results, human component analyses, and cerebrovascular function integral data were collected. Based on cerebrovascular function scores, the participants were divided into high-risk group (0-24 points, 70 cases), medium-risk group (25-49 points, 317 cases), low-risk group (50-74 points, 787 cases), and normal group (≥75 points, 2 322 cases). Spearman correlation analysis and receiver operating characteristic (ROC) curve analyses were utilized to assess the correlation and predictive value of obesity measurement indicators and cerebrovascular function integrals.Results:Among the 3 496 subjects included in the analysis, 2 018 were male and 1 478 were female, with an average age of (46.4±7.9) years. The age, systolic blood pressure, diastolic blood pressure, body mass index, waist-to-hip ratio, body fat ratio, body fat content, visceral fat area, fasting blood glucose, total cholesterol, low-density lipoprotein, homocysteine all exhibited an increasing trend as the cerebrovascular function integral value decreased (all P<0.05). The skeletal muscle content in the low-risk group was significantly higher than those in the high-risk group, medium-risk group, and normal group [45.00 (36.80, 50.60) vs 44.10 (36.98, 50.45), 44.50 (37.80, 50.20), and 42.75 (36.30, 48.60) kg, respectively] ( P<0.05). The triglyceride level in the medium-risk group was higher when compared to those in the high-risk group, low-risk group, and normal group[1.87 (1.29, 2.70) vs 1.71 (1.24, 2.80), 1.75 (1.18, 2.70), and 1.43 (1.00, 2.14) mmol/L] ( P<0.05). The high-density lipoprotein level in the normal group was higher than the high-risk group, medium-risk group, and low-risk group[1.26 (1.05, 1.51) vs 1.16 (0.94, 1.36), 1.15 (0.99, 1.39), and 1.16 (0.97, 1.39) mmol/L, respectively] ( P<0.05). The increases in systolic blood pressure, diastolic blood pressure, body mass index, and body fat content were all moderately negatively correlated with the cerebrovascular function score ( rs=-0.347, -0.335, -0.370, and -0.340, respectively, all P<0.05). The increase in age ( OR=1.012, 95% CI: 1.002-1.022), systolic blood pressure ( OR=1.027, 95% CI: 1.017-1.036), diastolic blood pressure ( OR=1.028, 95% CI: 1.014-1.042), body mass index ( OR=1.157, 95% CI: 1.083-1.237), body fat rate ( OR=1.021, 95% CI: 1.007-1.035), and fasting blood glucose ( OR=1.072, 95% CI: 1.020-1.127) were all positively correlated with the decrease of the cerebrovascular function score; conversely, the increase in skeletal muscle content ( OR=0.967, 95% CI: 0.951-0.982) was negatively correlated with the decrease in cerebrovascular function score (all P<0.05). The area under the curve for the combined prediction of cerebrovascular function integral value by age, systolic blood pressure, diastolic blood pressure, body mass index, body fat rate, skeletal muscle content, and fasting blood glucose was 0.754. Conclusions:As the body mass index and body fat content increase and the skeletal muscle content decreases in the healthy physical examination population, the likelihood of abnormal cerebrovascular function integral values rises; the combination of age, systolic blood pressure, diastolic blood pressure, body mass index, body fat percentage, skeletal muscle content, and fasting blood glucose indicators can predict the increased risk of cerebrovascular function integral values.
2.Correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population
Dianhua DU ; Chunwei WU ; Lan MO ; Xuelin ZHANG ; Wen WU ; Yiping WANG ; Xian WU ; Bo WANG ; Shaohui FENG
Chinese Journal of Health Management 2025;19(4):286-291
Objective:To analyze the correlation and predictive value of obesity measurement indicators and cerebrovascular function scores in healthy physical examination population.Methods:It was a cross-sectional analysis that employed a simple random sampling method to select 3 496 individuals who underwent healthy physical examinations and cerebrovascular function tests at the Physical Examination Center of the Affiliated Hospital of Guizhou Medical University from January to December 2022. The general information, physical examination data, biochemical examination results, human component analyses, and cerebrovascular function integral data were collected. Based on cerebrovascular function scores, the participants were divided into high-risk group (0-24 points, 70 cases), medium-risk group (25-49 points, 317 cases), low-risk group (50-74 points, 787 cases), and normal group (≥75 points, 2 322 cases). Spearman correlation analysis and receiver operating characteristic (ROC) curve analyses were utilized to assess the correlation and predictive value of obesity measurement indicators and cerebrovascular function integrals.Results:Among the 3 496 subjects included in the analysis, 2 018 were male and 1 478 were female, with an average age of (46.4±7.9) years. The age, systolic blood pressure, diastolic blood pressure, body mass index, waist-to-hip ratio, body fat ratio, body fat content, visceral fat area, fasting blood glucose, total cholesterol, low-density lipoprotein, homocysteine all exhibited an increasing trend as the cerebrovascular function integral value decreased (all P<0.05). The skeletal muscle content in the low-risk group was significantly higher than those in the high-risk group, medium-risk group, and normal group [45.00 (36.80, 50.60) vs 44.10 (36.98, 50.45), 44.50 (37.80, 50.20), and 42.75 (36.30, 48.60) kg, respectively] ( P<0.05). The triglyceride level in the medium-risk group was higher when compared to those in the high-risk group, low-risk group, and normal group[1.87 (1.29, 2.70) vs 1.71 (1.24, 2.80), 1.75 (1.18, 2.70), and 1.43 (1.00, 2.14) mmol/L] ( P<0.05). The high-density lipoprotein level in the normal group was higher than the high-risk group, medium-risk group, and low-risk group[1.26 (1.05, 1.51) vs 1.16 (0.94, 1.36), 1.15 (0.99, 1.39), and 1.16 (0.97, 1.39) mmol/L, respectively] ( P<0.05). The increases in systolic blood pressure, diastolic blood pressure, body mass index, and body fat content were all moderately negatively correlated with the cerebrovascular function score ( rs=-0.347, -0.335, -0.370, and -0.340, respectively, all P<0.05). The increase in age ( OR=1.012, 95% CI: 1.002-1.022), systolic blood pressure ( OR=1.027, 95% CI: 1.017-1.036), diastolic blood pressure ( OR=1.028, 95% CI: 1.014-1.042), body mass index ( OR=1.157, 95% CI: 1.083-1.237), body fat rate ( OR=1.021, 95% CI: 1.007-1.035), and fasting blood glucose ( OR=1.072, 95% CI: 1.020-1.127) were all positively correlated with the decrease of the cerebrovascular function score; conversely, the increase in skeletal muscle content ( OR=0.967, 95% CI: 0.951-0.982) was negatively correlated with the decrease in cerebrovascular function score (all P<0.05). The area under the curve for the combined prediction of cerebrovascular function integral value by age, systolic blood pressure, diastolic blood pressure, body mass index, body fat rate, skeletal muscle content, and fasting blood glucose was 0.754. Conclusions:As the body mass index and body fat content increase and the skeletal muscle content decreases in the healthy physical examination population, the likelihood of abnormal cerebrovascular function integral values rises; the combination of age, systolic blood pressure, diastolic blood pressure, body mass index, body fat percentage, skeletal muscle content, and fasting blood glucose indicators can predict the increased risk of cerebrovascular function integral values.
3.Reference value of lumbar spine bone mineral density and regional differences based on quantitative CT examination in healthy adult female in China
Ying JIN ; Kaiping ZHAO ; Jian QU ; Xia DU ; Yongli LI ; Shuang CHEN ; Yan WU ; Chunwei WU ; Guobin HONG ; Yong LU ; Yuqin ZHANG ; Xiao MA ; Jing LU ; Xigang XIAO ; Xiangyang GONG ; Zehong YANG ; Wei CHEN ; Miaomiao AN ; Ziyun WANG ; Siping NIE ; Lü YINGRU ; Jianbo GAO ; Shaolin LI ; Yuehua LI ; Qiang ZENG ; Xiaoguang CHENG ; Limei RAN
Chinese Journal of Health Management 2022;16(9):610-615
Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.
5.Diagnosis and treatment of gallstone ileus
Qingyu LIANG ; Peng DU ; Jiaming XIE ; Haorong WU ; Chunwei GU ; Fengyun ZHONG
Chinese Journal of Digestive Surgery 2014;13(8):660-661
Gallstone ileus is a rare mechanical ileus,which was caused by discharge of giant gall bladder stone to the intestine.Understanding the causes of ileus is the key factor for treatment,and surgical treatment is the treatment of choice.An old patient with gallstone ileus was admitted to the Second Affiliated Hospital of Soochow University in April 2013.Preoperative X ray detection and computed tomography showed gallbladder wall thickening,formation of a sinus tract between the gall bladder and the duodenum,and intestinal ileus in the left iliac region (the diameter of the stone was about 4 cm).The patient received medical treatment for 3 days and then exploratory laparotomy + lithotomy.Gall bladder stones were not detected during the operation,so the gall bladder was preserved.The patient was followed up till December 2013,the sinus tract was disappeared under B sonography,and the cholecystitis was cured.
6.In vitro effects of tacrolimus on platelet function.
Chunwei DU ; Xiujuan WANG ; Lili ZHAO ; Kesheng DAI
Chinese Journal of Hematology 2014;35(10):905-908
OBJECTIVETo investigate the in vitro effects of immune inhibitor tacrolimus on platelet function.
METHODSFresh venous blood was collected from healthy volunteers at ages of 18-25 years old, who are not taking antiplatelet drugs within two weeks. The platelets were isolated from the blood and incubated with different concentrations of tacrolimus (0.06, 0.6, 6, 60, 120, 240 μmol/L) at 37 °C for 2 hours, and then the changes of mitochondrial membrane potential and P-selection of platelets were detected by flow cytometry, the expression of apoptosis related protein by Western Blot, and the change of the platelet aggregation function by platelet aggregation analyzer.
RESULTSTacrolimus at concentration of 0.06 μmol/L could promote collagen induced platelet aggregation, inhibit thrombin induced platelet aggregation, have no effect on ristocetin and vWF induced platelet aggregation function. Tacrolimus at concentration of 120 μmol/L and 240 μmol/L could reduce the platelet mitochondrial membrane potential and induce the expression of apoptosis protein caspase-3.
CONCLUSIONIn vitro experimental results showed that high concentration of tacrolimus could lead to platelet apoptosis. But the current therapeutic dose of tacrolimus at 0.06 μmol/L (which is equivalent to 50 ng/ml blood concentration) could have different effects on platelet aggregation function according to different stimulating agents.
Adolescent ; Adult ; Blood Coagulation Tests ; Blood Platelets ; drug effects ; Caspase 3 ; Humans ; In Vitro Techniques ; Platelet Aggregation ; Tacrolimus ; pharmacology ; Thrombin ; Young Adult
7.Analysis of risk factors and body composition in elderly patients with type 2 diabetes complicated nonalcoholic fatty liver disease
Pengju LIU ; Fang MA ; Huiping LOU ; Chunwei DU ; Xin TAO
Chinese Journal of Geriatrics 2010;29(2):111-114
Objective To investigate the probable risk factors for type 2 diabetic patients complicated nonalcoholic fatty liver disease (NFLD)in elderly, through comparing the body composition, serum lipid profile, incidences of abdominal obesity and metabolic syndrome (MS) between elderly type 2 diabetic patients with and without NFLD. Methods The enrolled elderly type 2 diabetic patients were divided into NFLD group (n=83) and non-NFLD group (n=85). Their clinical data including body composition, serum lipid profile, incidences of abdominal obesity and MS were analyzed retrospectively and compared. Results Compared with non-NFLD group, the BMI [(26.9±2.5) kg/m~2 vs. (24.1±2.5) kg/m~2, P=0.000], waist-hip ratios (WHR) ((0.92±0.07) vs. (0.87±0.06), P=0.000], total body fat percentage [(29.6%±6.6%) vs. (25.3%±5.5%),P=0.000], abdominal fat [(11.0±2.5) kg vs. (8.7±2.3) kg, P=0.000], visceral fat [(3.0±0.7) kg vs. (2.3±0.6)kg, P=0.000], visceral fat area [(97.6±22.2) cm~2 vs. (75.5±21.1) cm~2,P=0. 000], serum triglyceride [(1.98±0.94) mmol/L vs. (1.22±0.61) mmol/L, P=0.000]were all increased, while serum HDL [(1.23±0.32) mmol/L vs. (1.40±0.37) mmol/L, P=0.002]was decreased in NFLD group. The incidences of over-body fat (68.7% vs. 36.5%, P=0. 000),dyslipidemia (47.0% vs. 21.2%, P=0. 000), abdominal obesity (69.9% vs. 43.5%, P=0.001) and MS (49.4% vs. 9.6%, P=0.000) were obviously increased. But there were no statistical differences in serum TC [(4.93±0.94) mmol/L vs. (4. 73±1.07) mmol/L, P=0.219]and LDL [(3.23±0.80) mmol/L vs. (3. 07±0.89) mmol/L, P=0. 229]between the two groups. Logistic regression showed that high BMI (β=1.268, P=0.000, OR=3.56), over-total body fat percentage (β=0.902, P=0.023, OR=2.47)and the existence of MS (β=1. 664, P=0. 000, OR=5.28) were related to elderly type 2 diabetic patients complicated NFLD. Conclusions The high BMI, over-total body fat percentage are related to elderly type 2 diabetic patients complicated NFLD, and NFLD is probably one of components of metabolic syndrome.

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