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世界核心医学期刊文摘（妇产科学分册） 2005年第4期1卷 59-60页

作者： mcCaw-Binns A.m. Ashley D.E. KnightL.P. 高雪莲

Objective: To determine whether changes in primary and secondary care service delivery could prevent antenatal eclampsia. method: One intervention (St. catherine) and two control (St Ann, manchester) parishes were chosen. The health system in St. catherine was restructured. Primary antenatal clinics had clear instructions for referring patients to a highrisk antenatal clinic or to hospital. Guidelines were provided to highrisk clinics and the antenatal ward for appropriate treatment of hypertension and preeclampsia when induction of labor should occur. Antenatal eclampsia incidence was monitored before and during the intervention and compared with control parishes (no intervention). Each eclampsia case was investigated to identify inadequacies in the system. Results: The process resulted in better identification of women at risk. Antenatal eclampsia incidence dropped dramatically as care improved. Compared with control areas, by completion of the study, the rate was significantly lower than at the start: OR 0.19 (95%CI: 0.13-0. 27; Pmissions for hypertensive disorders declined significantly, and the number of bed days halved. Conclusion: Reorganization of maternal care can have major public health benefits and cost savings; however, women need to be alerted to recognise and act upon signs of impending eclampsia.

关键词：医疗保健服务临床处理产前门诊医疗开支医疗服务系统高危状态痫病医疗干预血压异常凯瑟琳

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Biomarkers of aging

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Science China(Life Sciences) 2023年第5期66卷 893-1066页

作者： Aging Biomarker Consortium Hainan Bao Jiani Cao mengting Chen min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi ma Kehang mao Jiawei Nie Xinhua Qiao Xinpei Sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-Sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai ma Xinran ma Zhiyong mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren moshi Song Zhou Songyang Yi Eve Sun Yu Sun mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu Aging Biomarker Consortium(ABC) Beijing 100101China CAS Key Laboratory of Genomic and Precision medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China Department of Dermatology Xiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Aging Biology Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China Clinic Center of Human Gene Research Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Clinical Research Center of metabolic and Cardiovascular Disease Huazhong University of Science and TechnologyWuhan 430022China Hubei Key Laboratory of metabolic Abnormalities and Vascular Aging Huazhong University of Science and TechnologyWuhan 430022China Stem Cell Translational Research Center Tongji HospitalTongji University School of MedicineShanghai 200065China Department of Nuclear medicine Daping HospitalThird Military Medical UniversityChongqing 400042China CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Shanghai Key Laboratory of maternal Fetal medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China The Department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Key Laboratory of Regenerative medicine of ministry of Education Institute of Ageing and Regenerative MedicineJ

Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological *** a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly *** immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this ***,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory *** fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.

关键词： aging senescence biomarker clock

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FungalTraits:a user-friendly traits database of fungi and fungus-like stramenopiles

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Fungal Diversity 2020年第2期107卷 I0001-I0016页

作者： Sergei Põlme Kessy Abarenkov RHenrik Nilsson Björn D.Lindahl Karina Engelbrecht Clemmensen Havard Kauserud Nhu Nguyen Rasmus Kjøller Scott T.Bates Petr Baldrian Tobias Guldberg Frøslev Kristjan Adojaan Alfredo Vizzini Ave Suija Donald Pfister Hans-Otto Baral Helle Järv Hugo madrid Jenni Nordén Jian-Kui Liu Julia Pawlowska Kadri Põldmaa Kadri Pärtel Kadri Runnel Karen Hansen Karl-Henrik Larsson Kevin David Hyde marcelo Sandoval-Denis matthew E.Smith merje Toome-Heller Nalin N.Wijayawardene Nelson menolli Jr Nicole K.Reynolds Rein Drenkhan Sajeewa S.N.maharachchikumbura Tatiana B.Gibertoni Thomas Læssøe William Davis Yuri Tokarev Adriana Corrales Adriene mayra Soares Ahto Agan Alexandre Reis machado Andrés Argüelles-moyao Andrew Detheridge Angelina de meiras-Ottoni Annemieke Verbeken Arun Kumar Dutta Bao-Kai Cui C.K.Pradeep César marín Daniel Stanton Daniyal Gohar Dhanushka N.Wanasinghe Eveli Otsing Farzad Aslani Gareth W.Griffith Thorsten H.Lumbsch Hans-Peter Grossart Hossein masigol Ina Timling Inga Hiiesalu Jane Oja John Y.Kupagme József Geml Julieta Alvarez-manjarrez Kai Ilves Kaire Loit Kalev Adamson Kazuhide Nara Kati Küngas Keilor Rojas-Jimenez Krišs Bitenieks Laszlo Irinyi LászlóGNagy Liina Soonvald Li-Wei Zhou Lysett Wagner m.catherine Aime maarjaÖpik maría Isabel mujica martin metsoja martin Ryberg martti Vasar masao murata matthew PNelsen michelle Cleary milan C.Samarakoon mingkwan Doilom mohammad Bahram Niloufar Hagh-Doust Olesya Dulya Peter Johnston Petr Kohout Qian Chen Qing Tian Rajasree Nandi Rasekh Amiri Rekhani Hansika Perera Renata dos Santos Chikowski Renato L.mendes-Alvarenga Roberto Garibay-Orijel Robin Gielen Rungtiwa Phookamsak Ruvishika S.Jayawardena Saleh Rahimlou Samantha C.Karunarathna Saowaluck Tibpromma Shawn P.Brown Siim-Kaarel Sepp Sunil mundra Zhu-Hua Luo Tanay Bose Tanel Vahter Tarquin Netherway Teng Yang Tom may Torda Varga Wei Li Victor Rafael matos Coimbra Virton Rodrigo Targino de Oliveira Vitor Xavier de Lima Vladimir S.mikryukov Yongzhong Lu Yosuke matsuda Yumiko miyamoto Urm Institute of Ecology and Earth Sciences University of Tartu14A Ravila50411 TartuEstonia Natural History museum University of Tartu46 Vanemuise Str51003 TartuEstonia Gothenburg Global Biodiversity Centre Box 46140530 GothenburgSweden Department of Biological and Environmental Sciences University of GothenburgGothenburgSweden Department of Soil and Environment Swedish University of Agricultural SciencesBox 701475007 UppsalaSweden Department of Forest mycology and Plant Pathology Swedish University of Agricultural SciencesBox 702675007 UppsalaSweden Section for Genetics and Evolutionary Biology(EvoGene) Department of BiosciencesUniversity of OsloP.O.Box 1066BlindernNO-0316 OsloNorway University of Hawaiʻi at mānoa 3190 Maile WaySt.John 102HonoluluHIUSA Department of Biology University of CopenhagenUniversitetsparken 152100 CopenhagenØDenmark Purdue University Northwest WestvilleIN 46391USA Institute of microbiology Czech Academy of SciencesVidenska 108314220 Praha 4Czech Republic GLOBE Institute University of CopenhagenØster Farimagsgade 5KH7.2.321353 CopenhagenDenmark Dipartimento di Scienze della Vita e Biologia dei Sistemi Universitàdi TorinoViale Mattioli 2510125 TorinoItaly Department of Organismic and Evolutionary Biology and Farlow Library and Herbarium Harvard University22 Divinity AveCambridgeMA 02138USA Blaihofstr.42 72074 TübingenGermany SYNLAB Estonia Veerenni 53aTallinn 11313Estonia Escuela de Tecnología médica Universidad Santo TomásLos Carreras 753OsornoChile Centro de Genómica y Bioinformática Universidad MayorCamino La Pirámide 5750HuechurabaSantiagoChile Norwegian Institute for Nature Research(NINA) Sognsveien 680855 OsloNorway School of Life Science and Technology University of Electronic Science and Technology of ChinaChengdu 611731People’s Republic of China Evolutionary Biology Faculty of BiologyBiological and Chemical Research CentreUniversity of Warsawul.Zwirki i Wigury 10102-089 WarsawPoland Department of Botany Swedish Museum of

The cryptic lifestyle of most fungi necessitates molecular identification of the guild in environmental *** the past decades,rapid development and affordability of molecular tools have tremendously improved insights of the fungal diversity in all ecosystems and ***,in spite of the progress of molecular methods,knowledge about functional properties of the fungal taxa is vague and interpretation of environmental studies in an ecologically meaningful manner remains *** order to facilitate functional assignments and ecological interpretation of environmental studies we introduce a user friendly traits and character database FungalTraits operating at genus and species hypothesis *** the information from previous efforts such as FUNGuild and FunFun together with involvement of expert knowledge,we reannotated 10,210 and 151 fungal and Stramenopila genera,*** resulted in a stand-alone spreadsheet dataset covering 17 lifestyle related traits of fungal and Stramenopila genera,designed for rapid functional assignments of environmental *** order to assign the trait states to fungal species hypotheses,the scientific community of experts manually categorised and assigned available trait information to 697,413 fungal ITS *** the basis of those sequences we were able to summarise trait and host information into 92,623 fungal species hypotheses at 1%dissimilarity threshold.

关键词： Fungal traits Trophic modes Function Guild Bioinformatics High-throughput sequencing Community ecology

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心肌性能指数与心脏磁共振显像在评价大动脉转位患者系统性右室功能的比较

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世界核心医学期刊文摘（心脏病学分册） 2005年第4期1卷 48-48页

作者： Salehian O. Schwerzmann m. merchant N. J. Therrien 刘豫 Sir m.B. Davis Jewish Gen. Hospital 3755 Cote Ste. Catherine Montreal Que. H3T 1E2 Canada Dr.

Background -Assessment of systemic right ventricular (RV)-function is a key point in the follow-up of patients with transposition of the great arteries (TG A). Current echocardiographic assessment of RV function is at best an estimate, and cardiac magnetic resonance (CmR) is considered the gold standard. However, t his technique is expensive, has limited availability, and requires significant e xpertise to acquire and interpret the images. The myocardial performance index ( mPI)-has recently been studied for assessment of pulmonary RV function and show s promise as a simple yet powerful tool for assessing patients with RV dysfuncti on of various origins. We set out to compare mPI and CmR assessment of systemic RV function in patients with TGA. methods and Results -Data from patients with TGA (11 with congenitally corrected TGA, 18 with surgically corrected TGA) who h ad CmR within 6 months of their echocardiogram were reviewed. The average system ic RV ejection fraction (RVEF)byCmR was 39.4±11.4%, and the systemic RVmPI for this group was 0.56±0.21. There was a strong negative correlation between the systemic RVmPI and systemic RVEF by CmR (r=-0.82, Pmic RVEF c an be estimated from this formula: RVEF=65%-(45.2XmPI). Conclusions -mPI can be used in patients with systemic RVs to assess global function andtoestimatean EF with good accuracy.

关键词：磁共振显像大动脉转位右室功能性能指数金指标射血分数超声评价负相关

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