ABSTRACT
Objectives:To observe the detection rate of coronary artery disease (CAD) by coronary computer tomography angiography (CCTA) in young patients with suspected CAD, and to explore the imaging features and related risk factors of CAD. Methods:Data from 2 099 patients aged≤45 years who underwent CCTA in our hospital due to suspected CAD were retrospectively obtained. The risk factors of CAD in this patient cohort were analyzed, detection rate and imaging features of CAD among≤20, 21~30, 31~40 and 41~45 years subgroups were compared. Presence or absence of coronary plaque, plaque nature and stenosis degree were recorded. Results:CAD was detected in 229(10.9%) out of 2 099 patients. Incidence of male gender, smoking, dyslipidemia, hypertension, diabetes mellitus, and family history of CAD was significantly higher in CAD group than in non-CAD group (P＜0.05~0.001). Detection rate of CAD significantly increased in proportion with increase of age (F=11.4,P＜0.001) and was 3.1%, 6.2%, 9.7% and 12.9%, respectively in the ≤ 20,21-30,31-40 and 41-45 years groups. The proportion of single-vessel disease (72.5%) was significant higher than the multiple lesion (27.5%) in CAD patients (P＜0.001). There were 183 (56.7%) non-calcified plaques including 39(12.1%) low-attenuation plaques and 54(16.7%) mixed plaques, 86(26.6%) calcified plaques including 72(22.3%) spotty calcified plaques in the 323 diseased vessels. Severe stenosis was found in 158(49.0%) vessels. Conclusions:The prevalence of CAD was 10.9% in this young patient cohort with suspected CAD and imaging features were characterized as single-vessel disease and non-calcified plaques. CCTA should be recommended to young patients with suspected CAD, especially in 30-45-year-old male patients with following risk factors:smoking, hypertension, hyperlipidemia, diabetes mellitus and family history of CAD.
ABSTRACT
Objective To assess pre-marital sex behavior and its relationship with gender and experience of migration among 16-24 years-old out-of-school youths in rural Hainan province,China.Methods 160 eligible youths from each of the 2 townships in County A and 80 from each of the 6 townships in County B were recruited,under equal proportion on gender,age distribution and experience of migration.An interviewer-administered,standardized questionnaire was used.Results 760 eligible participants (with each gender of 380) were interviewed.There were no significant differences in the proportions of reporting as sexually active (56.8％ and 57.9％ ) or having premarital sex (54.5％ and 50.0％ ) between male and female youths.However,among those sexually active participants,the average age at first sexual intercourse was (18.2± 1.9 years or 19.2 ± 1.8 years,P＜0.01 ),the average age of first-time leaving hometown for work (18.0 ± 2.3 years or 16.5 ± 1.9 years P＜0.01 ) and the percentage of having first sexual intercourse before 1 8 years old (59.3％ vs.35.5％,P＜0.01) were different between males and females.31.2％ of the male youths reported that their sexual debut happened before they left their hometown for work and 45.9％ of the sex debut appeared within 1 year after they left hometown.However,78.5％ of the sexually active female youths reported their sexual debut happened 1 year after leaving their hometown.Data from the multivariate analysis showed that being away from hometown for more than 3 months and having more friends who presumably had presumably pre-marital sex experiences were more likely to report pre-marital sex behavior.Older men were more likely to report pre-marital sex behavior than the younger ones.Married women were more likely to report pre-marital sex behavior than the unmarried ones.Through multivariate analysis on unmarried men,data showed that those having had experience on migration and at older age were associated with experiencing premarital sex.Conclusion Gender difference was identified on the pattern of migration and its relationship with premarital sex among out-of-school rural youths in Hainan province.When prevention program is developed for rural youth,these differences should be taken into account.
ABSTRACT
<p><b>OBJECTIVE</b>To evaluate the value and limitations of multislice spiral CT in diagnosing coronary artery stenoses.</p><p><b>METHODS</b>A total of 65 patients with known or suspected coronary artery disease were examined by multislice spiral CT (retrospectively ECG-gating; 0.5 s rotation; one-sector reconstruction algorithm; intravenous contrast agent) and the results were compared with quantitative coronary angiography.</p><p><b>RESULTS</b>In the 889 coronary artery segments of 65 patients, 795 could be evaluated by CT (89.4%), 148 out of 167 coronary artery segments with significant stenoses (> or = 50% reduction of vessel diameter) were correctly detected by CT, 597 out of 628 coronary artery segments with normal or mild stenosis (< 50% reduction of vessel diameter) were correctly detected by CT. These values correspond to a sensitivity of 88.6%, specificity of 95.1%, positive predictive value of 82.7%, and negative predictive value of 96.9% for the detection of significant coronary artery stenosis by CT. Adding the 23 coronary artery segments with significant stenosis which could not be judged by CT, the sensitivity of CT for diagnosing coronary stenosis was 77.9%. In the 795 evaluable coronary artery segments, 78 out of 86 coronary artery segments with high-grade stenosis (> or = 75% reduction of vessel diameter) were correctly detected by CT, 692 of 709 coronary artery segments with normal or mild stenosed (< 75% reduction of vessel diameter) were correctly detected by CT. These values correspond to a sensitivity of 90.7%, specificity of 97.6%, positive predictive value of 82.1%, and negative predictive value of 98.9% for the detection of high-grade coronary artery segments stenosis by CT. Adding 13 coronary artery segments with high-grade stenosis which could not be judged by CT, the sensitivity was 78.8%.</p><p><b>CONCLUSION</b>Multislice spiral CT permits the visualization of significant coronary artery stenosis with high accuracy in case of sufficient image quality.</p>