1.Study on the correlation between the cognitive disorder and P300 in patients with acute brain infarction
Cuiying ZHAN ; Guifang ZHANG ; Bingxia SHI
Chinese Journal of Rehabilitation Theory and Practice 2001;7(1):19-20
Objective To study the cognitive disorder in acute brain infarction. MethodCognition was meaured by P300 Peak Latency and The MMSE Scale for 32 patients with acute brain infarction. Results There are significant difference in P300 Peak Latency and The MMSE Scale scores between the patients and controls. ConclusionP300 Peak Latency could indicate the cognitive disorder in patients with acute brain infarction.
2.CT initial diagnosis value of nasopharyngeal fibroangioma
Zhaojin ZHANG ; Cuiying ZHU ; Yonghong ZHAN ; Dechang PENG
China Modern Doctor 2014;(29):60-62
Objective To explore the diagnostic value of multi-slice spiral CT in clinical stage of nasopharyngeal fi-broangioma. Methods The clinical data and imaging findings of CT in 40 patients with nasopharyngeal fibroangioma confirmed by operation and pathologic examination were retrospectively analyzed. The size, shape, density, boundary, strengthen and the changes of the adjacent structure of the mass were observed and analyzed. Results According to Radkowski classification, 3 cases were evaluated as stageⅠa, 9 cases were evaluated as stage Ⅰb, 8 cases were eval-uated as stage IIa, 10 cases were evaluated as stage IIb, 5 cases were evaluated as stage IIc, 3 cases were evaluated as stageⅢa and 2 cases were evaluated as stageⅢb. Most corrosive location were in nasopharynx, pterygopalatine fos-sa, sphenoid sinus, maxillary sinus, eye socket and followed occurred in fratemporal fossa, and few corrosive location were in sclerotin of pars buccalis, cavernous sinus and basis cranii. The tumor showed uniform and slightly lower den-sity but obviously strengthening after administration of Gd-DTPA. Conclusion Multi-slice spiral CT has important clinical value for the clinical stage diagnosis, preoperative localization, evaluating the postoperative extent and the prognosis of the nasopharyngeal fibroangioma.
3.Variations and health risk of polycyclic aromatic hydrocarbons in ambient PM2.5 in industrial and residential areas in Fuzhou City
Shaokai LIN ; Kai WANG ; Xiaohai ZHAN ; Cuiying LU ; Zaisheng LIN
Journal of Environmental and Occupational Medicine 2022;39(11):1277-1283
Background PM2.5 pollution has become a widely concerned environmental health problem. Polycyclic aromatic hydrocarbons(PAHs) are the main harmful components of PM2.5, and their sources and carcinogenic risk deserve attention. Objective To analyze the source apportionment of PAHs in ambient PM2.5 in Fuzhou, and to evaluate the potential carcinogenic risk through inhalation due to exposure to PAHs. Methods In this study, two sampling sites were set up in Cangshan (industrial area) and Taijiang (commercial and residential area) districts in Fuzhou City. PM2.5 was collected from 10th to 16th of each month from 2017 to 2020 by membrane filtration method. The concentrations of ambient PM2.5 were measured by weighing, and the concentrations of 16 PAHs, including naphthalene(NAP), acenaphthylene(ACY), acenaphthene(ACE), fluorene(FLU), phenanthrene(PHE), anthracene(ANT), fluoranthene(FLT), pyrene(PYR), benzo[a]anthracene(BaA), chrysene(CHR), benzo[b]fluoranthene(BbF), benzo[k]fluoranthene(BkF), benzo[a]pyrene(BaP), indeno[1,2,3-cd]pyrene(IcdP), dibenzo[a,h]anthracene(DahA), and benzo[g,h,i]perylene(BghiP), were determined by ultra-high performance liquid chromatography coupled with diode array detector and fluorescence detector. The concentrations of PM2.5 and PAHs were compared in the two districts and the concentrations of PAHs were also compared in different seasons. The diagnostic ratio [FLT/(FLT+PYR), IcdP/(IcdP+BghiP), BaA/(BaA+CHR), and BaP/BghiP] method and positive matrix factorization (PMF) analysis were used to determine the sources of PAHs in PM2.5 in Fuzhou. The excess carcinogenic risk (ECR) model was used to assess the potential health risk of inhalation exposure to PAHs. Results During 2017–2020, the M (P25, P75) concentration of ambient PM2.5 in Cangshan and Taijiang districts of Fuzhou were 35.0 (25.0, 47.5) and 34.0 (25.5, 46.0) μg·m−3 respectively, and the percentages of PM2.5 exceeding the national standard in Cangshan and Taijiang were 2.68% and 4.17%, respectively, without significant differences (P>0.05). The M (P25, P75) concentrations of ΣPAHs in Cangshan was 5.03 (3.07, 7.67) ng·m−3, higher than that in Taijiang, 3.20 (2.05, 5.59) ng·m−3 (P<0.05). The M (P25, P75) concentrations of PAHs monomers except ACY, FLU, and ACE in Cangshan were higher than those in Taijiang (P<0.05). The concentrations of ΣPAHs in PM2.5 in four seasons in Cangshan were higher than those in Taijiang (P<0.05). In both districts, the concentration of ΣPAHs in winter was higher than those in spring, summer, and autumn (P<0.05). According to the diagnostic ratio method, the median ratios of FLT/(FLT+PYR) in the two districts ranged from 0.4 to 0.5, and those of IcdP/(IcdP+BghiP), BaA/(BaA+CHR), and BaP/BghiP were from 0.2 to 0.5, from 0.2 to 0.35, and less than 0.6, respectively. The results of PMF analysis showed the proportions of four factors in Cangshan were 37.9%, 13.2%, 24.0%, and 24.9%, respectively. The major load contributors to factor 1 included FLT, PHE, and PYR; to factor 2, FLU, ACY, and ACE; to factor 3, DahA; to factor 4, BghiP, IcdP, and BaP. The proportions of four factors in Taijiang were 23.6%, 19.3%, 22.0%, and 35.1%, respectively. The main load contributor to factor 1 was DahA; to factor 2, BghiP; to factor 3, FLT, PHE, and PYR; to factor 4, IcdP, BaP, BbF, BkF, CHR, and BaA. The benzo[a]pyrene equivalences (BEQ) in Cangshan and Taijiang districts were 1.87 ng·m−3 and 1.61 ng·m−3, respectively. The excess carcinogenic risks of PAHs through inhalation exposure was 3.83×10−6 and 3.30×10−6, respectively. Conclusion The complex sources of PAHs in ambient PM2.5 include dust, vehicle emissions, industrial emissions in Fuzhou, and are different in selected two districts. The level of PAHs in ambient PM2.5 may pose a potential carcinogenic risk to local population.