1.HbA1c comparison and diagnostic efficacy analysis of multi center different glycosylated hemoglobin detection systems.
Ping LI ; Ying WU ; Yan XIE ; Feng CHEN ; Shao qiang CHEN ; Yun Hao LI ; Qing Qing LU ; Jing LI ; Yong Wei LI ; Dong Xu PEI ; Ya Jun CHEN ; Hui CHEN ; Yan LI ; Wei WANG ; Hai WANG ; He Tao YU ; Zhu BA ; De CHENG ; Le Ping NING ; Chang Liang LUO ; Xiao Song QIN ; Jin ZHANG ; Ning WU ; Hui Jun XIE ; Jina Hua PAN ; Jian SHUI ; Jian WANG ; Jun Ping YANG ; Xing Hui LIU ; Feng Xia XU ; Lei YANG ; Li Yi HU ; Qun ZHANG ; Biao LI ; Qing Lin LIU ; Man ZHANG ; Shou Jun SHEN ; Min Min JIANG ; Yong WU ; Jin Wei HU ; Shuang Quan LIU ; Da Yong GU ; Xiao Bing XIE
Chinese Journal of Preventive Medicine 2023;57(7):1047-1058
Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R2 of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy
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Child
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Humans
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Female
;
Glycated Hemoglobin
;
Cohort Studies
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Diabetes Mellitus/diagnosis*
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Sensitivity and Specificity
;
ROC Curve
2.Correlation between HDL-C and red cell distribution width in patients with coronary heart disease
Jin CHANG ; Li-Jun LIU ; Chun-De ZHANG ; Shou-Kai LI ; Bao-Ju YAO
Chinese Journal of cardiovascular Rehabilitation Medicine 2023;32(6):580-584
Objective:To study correlation between high density lipoprotein-cholesterol(HDL-C)and red cell dis-tribution width(RDW)in patients with coronary heart disease(CHD).Methods:According to coronary stenotic severity,a total of 151 patients undergoing coronary CT angiography in our hospital were divided into CHD group(n=72)and non-CHD group(n=79).General clinical data were compared between two groups.Correlation be-tween HDL-C and RDW,influencing factors of CHD and diagnostic value of HDL-C and RDW for CHD were analyzed.Results:Compared with non-CHD group,there were significant rise in percentage of diabetes mellitus,age,serum triglyceride(TG)level and RDW,and significant reduction in serum HDL-C level in CHD group(P<0.05 or<0.01).Pearson correlation analysis indicated that serum HDL-C level was significant inversely correla-ted with RDW(r=-0.373,P=0.001),and there was a significant negative correlation between two indexes in CHD group and non-CHD group(r=-0.415,-0.243,P=0.001,0.031).Multivariate Logistic regression a-nalysis indicated that TG and RDW were independent risk factors for CHD(OR= 1.794,1.588,P=0.030,0.020),and HDL-C was its independent protective factor(OR=0.212,P=0.036).ROC curve indicated that AUC of combined detection of HDL-C and RDW diagnosing CHD was 0.674,its sensitivity was 58.33%and spe-cificity was 70.89%.Conclusion:RDW possesses certain diagnostic value for patients with coronary heart disease.
3.3- to 24-month Follow-up on COVID-19 with Pulmonary Tuberculosis Survivors after Discharge: Results from a Prospective, Multicenter Study
Ya Jing WANG ; Yu Xing ZONG ; Hui Gui WU ; Lin Yuan QI ; Zhen Hui LI ; Yu Xin JI ; Lin TONG ; Lei ZHANG ; Bo Ming YANG ; Ye Pu YANG ; Ke Ji LI ; Rong Fu XIAO ; Song Lin ZHANG ; Hong Yun HU ; De Hong LIU ; Fang Shou XU ; Sheng SUN ; Wei WU ; Ya MAO ; Qing Min LI ; Hua Hao HOU ; Yuan Zhao GONG ; Yang GUO ; Wen Li JIAO ; Jin QIN ; Yi Ding WANG ; Fang WANG ; Li GUAN ; Gang LIN ; Yan MA ; Ping Yan WANG ; Nan Nan SHI
Biomedical and Environmental Sciences 2022;35(12):1091-1099
Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9%) were men. Among them, nearly two-thirds (62.5%) of the survivors were moderate, three (9.4%) were severe, and more than half (59.4%) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6% at 3 months to 15.8% at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1%) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.
4.Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
Yan MA ; Dong Shan ZHU ; Ren Bo CHEN ; Nan Nan SHI ; Si Hong LIU ; Yi Pin FAN ; Gui Hui WU ; Pu Ye YANG ; Jiang Feng BAI ; Hong CHEN ; Li Ying CHEN ; Qiao FENG ; Tuan Mao GUO ; Yong HOU ; Gui Fen HU ; Xiao Mei HU ; Yun Hong HU ; Jin HUANG ; Qiu Hua HUANG ; Shao Zhen HUANG ; Liang JI ; Hai Hao JIN ; Xiao LEI ; Chun Yan LI ; Min Qing LI ; Qun Tang LI ; Xian Yong LI ; Hong De LIU ; Jin Ping LIU ; Zhang LIU ; Yu Ting MA ; Ya MAO ; Liu Fen MO ; Hui NA ; Jing Wei WANG ; Fang Li SONG ; Sheng SUN ; Dong Ting WANG ; Ming Xuan WANG ; Xiao Yan WANG ; Yin Zhen WANG ; Yu Dong WANG ; Wei WU ; Lan Ping WU ; Yan Hua XIAO ; Hai Jun XIE ; Hong Ming XU ; Shou Fang XU ; Rui Xia XUE ; Chun YANG ; Kai Jun YANG ; Sheng Li YUAN ; Gong Qi ZHANG ; Jin Bo ZHANG ; Lin Song ZHANG ; Shu Sen ZHAO ; Wan Ying ZHAO ; Kai ZHENG ; Ying Chun ZHOU ; Jun Teng ZHU ; Tian Qing ZHU ; Hua Min ZHANG ; Yan Ping WANG ; Yong Yan WANG
Biomedical and Environmental Sciences 2020;33(12):893-905
Objective:
Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.
Methods:
A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio (
Results:
Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks.
Conclusion
Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult
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Aged
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COVID-19/virology*
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China/epidemiology*
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Comorbidity
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Female
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Humans
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Male
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Middle Aged
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Retrospective Studies
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Severity of Illness Index
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Treatment Outcome
5.Epidemiological Characteristics and Spatio-temporal Patterns of Foodborne Diseases in Jinan, Northern China.
Li YANG ; Yan Bin SUN ; Qing ZHONG ; De Shui DUAN ; Shou Qin LIU ; Ying ZHANG
Biomedical and Environmental Sciences 2019;32(4):309-313
Adult
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China
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epidemiology
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Female
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Foodborne Diseases
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epidemiology
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Humans
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Male
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Sentinel Surveillance
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Young Adult
6.Ecology suitability study of Lomatogonium rotatum in Inner Mongolia.
Zhen-hua LI ; Ai-hua ZHANG ; Xiao-hua YUN ; Chun-hong ZHANG ; Shou-dong ZHU ; De-zhi ZOU ; Ya-qiong BI ; Min-hui LI
China Journal of Chinese Materia Medica 2015;40(5):778-784
The distribution information of Lomatogonium rotatum. was collected by interview investigation and field survey, and 55 related environmental factors were collected, the habitat suitability study was conducted based on geographic information system (GIS) and maximum entropy model. The AUCs of ROC curve were both above 0.99, indicating that the predictive results with the maximum model were highly precise. The results showed that 13 major environmental factors have obvious influence on ecology suitability distributions of L. rotatum, including month average temperature of February et al., the suitable distribution areas are mainly concentrated in the east-central of Inner Mongolia, including Hexigten banner, Duolun county, Zhenglan banner et al., The zoning results basically coincide with the genuine producing areas, and further afford new suitable distribution areas, which can provide reference for L. rotatum's wild nursery and the siting of introduction and cultivation.
China
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Ecosystem
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Environment
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Gentianaceae
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growth & development
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Geographic Information Systems
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Rain
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Temperature
7.Isochamaejasmin induces apoptosis in leukemia cells through inhibiting Bcl-2 family proteins.
Shou-De ZHANG ; Lei SHAN ; Wei LI ; Hong-Lin LI ; Wei-Dong ZHANG
Chinese Journal of Natural Medicines (English Ed.) 2015;13(9):660-666
The biflavonoid isochamaejasmin is mainly distributed in the root of Stellera chamaejasme L. (Thymelaeaceae) that is used in traditional Chinese medicine (TCM) to treat tumors, tuberculosis, and psoriasis. Herein, isochamaejasmin was found to show similar bioactivity against Bcl-2 family proteins to the reference Bcl-2 ligand (-)-gossypol through 3D similarity search. It selectively bound to Bcl-xl and Mcl-1 with Ki values being 1.93 ± 0.13 μmol·L(-1) and 9.98 ± 0.21 μmol·L(-1), respectively. In addition, isochamaejasmin showed slight growth inhibitory activity against HL-60 with IC50 value being 50.40 ± 1.21 μmol·L(-1) and moderate growth inhibitory activity against K562 cells with IC50 value being 24.51 ± 1.62 μmol·L(-1). Furthermore, isochamaejasmin induced apoptosis of K562 cells by increasing the intracellular expression levels of proteins of the cleavage of caspase-9, caspase-3, and PARP which involved in the Bcl-2-induced apoptosis pathway. These results indicated that isochamaejasmin induces apoptosis in leukemia cells by inhibiting the activity of Bcl-2 family proteins, providing evidence for further studying the underlying anti-cancer mechanism of S. chamaejasme L.
Antineoplastic Agents, Phytogenic
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pharmacology
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therapeutic use
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Apoptosis
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drug effects
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Biflavonoids
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pharmacology
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therapeutic use
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Caspase 3
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metabolism
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Caspase 9
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metabolism
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Gossypol
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pharmacology
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HL-60 Cells
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Humans
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Inhibitory Concentration 50
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K562 Cells
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Leukemia
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drug therapy
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metabolism
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Myeloid Cell Leukemia Sequence 1 Protein
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metabolism
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Phytotherapy
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Plant Extracts
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pharmacology
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therapeutic use
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Poly(ADP-ribose) Polymerases
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metabolism
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Proto-Oncogene Proteins c-bcl-2
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antagonists & inhibitors
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metabolism
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Signal Transduction
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Thymelaeaceae
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chemistry
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bcl-2-Associated X Protein
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metabolism
8.Influence of the included angle between anterior aspects of S2 and S1 vertebral bodies on pelvic inlet imaging in mid-line sagittal plane.
Hong-ming CAI ; Shu-tu GAO ; Chuan-de CHENG ; Xue-jian WU ; Wu-chao WANG ; Jin-cheng TANG ; Shou-ya CHANG ; Wei-feng DUAN ; Chuan ZHANG
China Journal of Orthopaedics and Traumatology 2014;27(8):645-649
OBJECTIVETo analyze the influence of included angle between the anterior aspects of S2 and S vertebral bodies on pelvic inlet imaging in the pelvic midline sagittal plane.
METHODSTotally 58 axial pelvic CT scans were chosen as study objects including 43 males and 15 females,with an average age of 40.7 years old (ranged,18 to 68 years old). The angles between the anterior aspects of S2 and S1, vertebral bodies and the horizontal plane on midline sagittal CT reconstruction were measured to simulate the optimal S2 and S1 inlet angles. The included angle between the anterior aspects of S2 and S1 vertebral bodies was calculated by subtrocting the S1,inlet angle from the S2 inlet angle defined as a base number. Then, the impact of the calculated included angles on the pelvic inlet imaging was analyzed. Results:The S2 inlet angles averaged (30.5±6.5) degrees; the S inlet angles averaged (25.7±5.9) degrees. The difference between them was significant (t=3.35, P=0.001). Ten patients had zero angle between the anterior aspects of S2 and S1 vertebral bodies; 14 patients had negative angle, averaged-(8.9±8.1) degrees; 34 patients had positive angle,averaged (11.8+6.4) degrees.
CONCLUSIONThe difference of included angle between the anterior aspects of S2 and S1 vertebral bodies leads to the difference between S1 inlet view and S2 inlet view in most cases, complicating the pelvic inlet imaging,and affecting the reliability of the application of pelvic inlet view. Utilizing the angles measured on the preoperative midlihe sagittal CT reconstruction to obatin the patient-customized S1 and S2 inlet views could accurately guide the S1 and S2 iliosacral screw insertion.
Adolescent ; Adult ; Aged ; Animals ; Bone Screws ; Female ; Fracture Fixation, Internal ; methods ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Pelvis ; anatomy & histology ; injuries ; Spine ; anatomy & histology ; Tomography, X-Ray Computed ; Young Adult
9.In vitro transdermal behavior of effective constituents in Chonghe gel.
Yan-Ming WANG ; Ya-Jing WANG ; De-Qin ZHANG ; Shou-Ying DU ; Shi-Zhen SUN
China Journal of Chinese Materia Medica 2013;38(16):2618-2622
Chonghe gel originated from the Chinese ancient prescription, can be used for the treatment of diabetic foot. This experiment was to study the transdermal absorbability of paeoniflorin and osthole in Chonghe gel . Franz diffusing cells method was adopted for the in vitro model of rat belly skins. Paeoniflorin and osthole in the receiving liquid, skins and gel were determined by HPLC. The receiving liquid were screened, and Chonghe gel and Chonghe ointment were compared by transdermal absorbability. Result showed that ethanol-normal saline (2: 8) solution was the appropriate receiving liquid. The penetration rates of paeoniflorin and osthole were 78.07, 7.08 microg x cm(-2) x h(-1). respectively. In 24 h, the accumulated penetration rates were (31.51 +/- 1.33)%, (12.38 +/- 1.28)%, respectively. The retention rates of paeoniflorin and osthole in skin were (0.92 +/- 0.45)%, (4.81 +/- 1.03) %, respectively. The retention of osthole in skins was a drug reservoir. Transdermal behavior of effective constituents in Chonghe gel was more efficient than that in ointment. In vitro, the transdermal behavior of paeoniflorin in Chonghe gel was close to a Weibull process, while the behavior of osthole was close to Higuchi process.
Animals
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Chemistry, Pharmaceutical
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Drugs, Chinese Herbal
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chemistry
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metabolism
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Ethanol
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chemistry
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Gels
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Male
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Rats
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Rats, Wistar
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Skin
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metabolism
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Skin Absorption
10.Effects of systolic blood pressure and low density lipoprotein on carotid plaques.
Tao YAO ; Wen LI ; Xiao-Hui ZHANG ; Jing SUN ; De-Sheng WANG ; Yong-Meng ZHAO ; Zhang-Feng WANG ; Xing-Quan ZHAO ; Shou-Ling WU
Chinese Journal of Preventive Medicine 2012;46(12):1074-1078
OBJECTIVETo explore the different effects of systolic blood pressure (SBP) and low density lipoprotein on carotid plaques (LDL-C).
METHODSA total of 101 510 serving and retired workers of a company who participated in the health examination in 2006-2009, 5852 participants were selected as study subjects by stratified random sampling according to the age and sex ratio. These subjects took their health examination in 2010-2011 including the carotid ultrasound. Finally, 5361 eligible participants with complete data were included in the analysis. The detection and weighted rates of carotid plaques were calculated for four groups: normal SBP and LDL-C group (3524 subjects), normal SBP and high LDL-C group (356 subjects), elevated SBP and normal LDL-C group (1308 subjects) and elevated SBP and high LDL-C group (173 subjects). The effects of different baseline SBP and LDL-C on detection rates of the carotid artery plaques were analyzed by logistic regression.
RESULTSThe detection rate of carotid plaques in normal SBP and LDL-C group, normal SBP and high LDL-C group, elevated SBP and normal LDL-C group, elevated SBP and high LDL-C group was 33.7% (1186/3524), 41.3% (147/356), 64.8% (847/1308), 68.8% (119/173) (χ(2) = 425.75, P < 0.05) and the weighted detection rate was 36.0%, 42.0%, 64.5% and 68.3% respectively. For men, the detection rate was 44.2% (877/1985), 51.1% (97/190), 70.6% (657/930), 71.3% (82/115) (χ(2) = 194.02, P < 0.05) and the weighted detection rate was 31.2%, 36.1%, 49.8% and 50.3% respectively. For women, the detection rate was 20.1% (309/1539), 30.1% (50/166), 50.3% (190/378), 63.8% (37/58) (χ(2) = 180.17, P < 0.05) and the weighted detection rate was 30.9%, 46.3%, 70.3%, and 88.1% respectively. After adjusted for other risk factors, the OR (95%CI) value was 1.37 (1.05 - 1.78), 2.05 (1.74 - 2.43) and 2.12 (1.45 - 3.12) for normal SBP and high LDL-C group, elevated SBP and normal LDL-C group and elevated SBP and high LDL-C group respectively compared with normal SBP and LDL-C group.
CONCLUSIONElevated SBP and high LDL-C were risk factors of the carotid artery plaques. Compared with high LDL-C, elevated SBP may add a higher risk for carotid plaques.
Adult ; Aged ; Blood Pressure ; Carotid Stenosis ; blood ; epidemiology ; physiopathology ; Cholesterol, LDL ; blood ; Dyslipidemias ; Female ; Humans ; Male ; Middle Aged ; Risk Factors ; Systole

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