Descriptor: "Elective Surgical Procedures/statistics & numerical data" - Searchworks@Jio Institute Digital Library Search Results

14 results on '"Elective Surgical Procedures/statistics & numerical data"'

1. Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

Author: Lorna Sumption, Rosalind M. John, Samantha M. Garay, and R. M. Pearson
Subjects: Biopsychosocial model, Psychological intervention, Overweight, Models, Biopsychosocial, Body Mass Index, Overweight/complications, Alcohol Drinking/adverse effects, Cohort Studies, 0302 clinical medicine, Pregnancy, Risk Factors, Surveys and Questionnaires, Prevalence, 030212 general & internal medicine, Wales/epidemiology, education.field_of_study, 030219 obstetrics & reproductive medicine, Depression, United Kingdom/epidemiology, Obstetrics and Gynecology, Cesarean Section/statistics & numerical data, Gestational Weight Gain, Depression/complications, Elective Surgical Procedures, Cohort, Income, Female, Thinness/complications, medicine.symptom, Research Article, Adult, medicine.medical_specialty, Alcohol Drinking, Population, Reproductive medicine, lcsh:Gynecology and obstetrics, 03 medical and health sciences, Thinness, Pregnancy Complications/epidemiology, medicine, Humans, education, Elective Surgical Procedures/statistics & numerical data, lcsh:RG1-991, Wales, business.industry, Cesarean Section, medicine.disease, United Kingdom, Pregnancy Complications, business, Weight gain, Demography
Abstract: Background Gestational weight gain (GWG) can have implications for the health of both mother and child. However, the contributing factors remain unclear. Despite the advantages of using a biopsychosocial approach, this approach has not been applied to study GWG in the UK. This study aimed to investigate the risk factors of excessive GWG in a UK population, employing a biopsychosocial model. Methods This study utilised data from the longitudinal Grown in Wales (GiW) cohort, which recruited women in late pregnancy in South Wales. Specifically, data was collected from midwife recorded notes and an extensive questionnaire completed prior to an elective caesarean section (ELCS) delivery. GWG was categorised according to Institute of Medicine (IOM) guidelines. The analysis was undertaken for 275 participants. Results In this population 56.0% of women had excessive GWG. Increased prenatal depression symptoms (Exp(B)=1.10, p=.019) and an overweight (Exp(B)=4.16, pp=.010) pre-pregnancy BMI, consuming alcohol in pregnancy (Exp(B)=.37, p=.005) and an income of less than £18,000 (Exp(B)=.24, p=.043) and £25–43,000 (Exp(B)=.25, p=.002) were associated with excessive GWG. Conclusion GWG is complex and influenced by a range of biopsychosocial factors, with the high prevalence of excessive weight gain in this population a cause for concern. Women in the UK may benefit from a revised approach toward GWG within the National Health Service (NHS), such as tracking weight gain throughout pregnancy. Additionally, this research provides evidence for potential targets for future interventions, and potentially at-risk populations to target, to improve GWG outcomes.
Published: 2021

2. Cancellations of Elective Surgeries on the Day of the Operation in a Portuguese Hospital: One Year Overview

Author: Joaquim Ferreira and Paulo Boto
Subjects: Agendamento e Marcações, Eficiência Organizacional, Portugal, Procedimentos Cirúrgicos Electivos/estatística & dados numéricos, Revisão da Utilização, Salas Cirúrgicas/organização e administração, Operating Rooms, lcsh:Medicine, Efficiency, Organizational, revisão da utilização, salas cirúrgicas/organização e administração, Appointments and Schedules, Hospital Administration, Humans, eficiência organizacional, health care economics and organizations, Clinical Governance, Elective Surgical Procedures/statistics & numerical data, Health Quality, Operating Rooms/organization & administration, Utilization Review, Aged, Retrospective Studies, agendamento e marcações, Aged, 80 and over, lcsh:R5-920, lcsh:R, Middle Aged, Hospitals, Elective Surgical Procedures, Female, procedimentos cirúrgicos electivos/estatística & dados numéricos, lcsh:Medicine (General), human activities
Abstract: Cancellations of elective operations on the day of the surgery reflect the efficiency and quality within organisations, and have a significant clinical, social and economic impact, not only for the patient and their families, but also for healthcare institutions. This study assesses the extent of these cancellations in one public Portuguese hospital, through case quantification and identification of the causes, origin, as well as its predictability according to the sociodemographic variables of the patient and interventions used to decrease it.Non-experimental descriptive quantitative methodology - longitudinal and retrospective - of operation cancellation cases on the day of the surgery, from the 1st of January to the 31st of December 2018.The rate of cancellations of elective surgeries on the same day of the operation was 2.9% with variations among different surgical specialties; cancelled operations are more frequent in female patients, in patients aged between 50 and 80 years old, physical status classified as II or III according to the American Society of Anesthesiology, and without anaesthetic pre assessment or preoperative consultations; the three most relevant causes for cancellations are: lack of operative time, scarcity of beds and/or medical equipment, and changes in health status; most of which can be avoided and are the responsibility of the institution.Different reasons for cancellation of elective operations reflect a variety of upstream and downstream processes causing cancellation of surgeries and whose origin/imputability is related to both the institution and patients.The rate of cancellations of elective surgeries on the same day of the operation is relatively low, but the causes are often preventable, thus justifying the generalization of cancellation reduction strategies.Introdução: Os cancelamentos de cirurgias eletivas que ocorrem no próprio dia da cirurgia acarretam importantes consequências clínicas, sociais e económicas, individuais e familiares, mas também institucionais, e refletem processos de eficiência e qualidade das organizações. Este estudo pretende avaliar a dimensão dos cancelamentos no dia da cirurgia numa instituição do Serviço Nacional de Saúde, quantificando-os, identificando as causas, origem e previsibilidade, na relação com variáveis sociodemográficas e intervenções dedicadas à sua redução.Material e Métodos: Metodologia quantitativa descritiva, de abordagem não experimental, longitudinal e de dimensão temporal retrospetiva, relativa aos episódios com cancelamentos cirúrgicos no dia da cirurgia, decorridos no período compreendido entre 1 de janeiro e 31 de dezembro de 2018.Resultados: A taxa de cancelamento no próprio dia foi de 2,9%, variando entre as especialidades cirúrgicas, maioritariamente em doentes do sexo feminino, na faixa etária dos 50 aos 80 anos, com estado físico II ou III, segundo a American Society of Anestesiology, e sem consulta pré-anestésica ou pré-operatória prévias; as três causas de cancelamentos mais evidentes são: a falta de tempo operatório, a falta de camas e/ou materiais e a alteração do estado de saúde, a maioria das quais evitáveis e imputáveis à instituição.Discussão: Os múltiplos motivos de cancelamento refletem uma variedade de processos a montante e a jusante, que culminam no cancelamento cirúrgico, e cuja a origem/imputabilidade se dispersa entre a instituição e o próprio doente.Conclusão: A taxa de cancelamento de cirurgias eletivas no próprio dia da operação é relativamente baixa, mas as causas são frequentemente evitáveis, justificando a generalização de estratégias de redução dos cancelamentos.
Published: 2021

3. Cancellations of elective surgeries on the day of the operation in a Portuguese hospitalone year overview

Author: Ferreira, Joaquim, Boto, Paulo, and Escola Nacional de Saúde Pública (ENSP)
Subjects: Medicine(all), Appointments and Schedules, Hospital Administration, Portugal, Health Quality, Utilization Review, Operating Rooms/organization & administration, Clinical Governance, Efficiency, Organizational, Elective Surgical Procedures/statistics & numerical data, human activities, health care economics and organizations
Abstract: Introduction: Cancellations of elective operations on the day of the surgery reflect the efficiency and quality within organisations, and have a significant clinical, social and economic impact, not only for the patient and their families, but also for healthcare institutions. This study assesses the extent of these cancellations in one public Portuguese hospital, through case quantification and identification of the causes, origin, as well as its predictability according to the sociodemographic variables of the patient and interventions used to decrease it. Material and Methods: Non-experimental descriptive quantitative methodology – longitudinal and retrospective – of operation cancellation cases on the day of the surgery, from the 1st of January to the 31st of December 2018. Results: The rate of cancellations of elective surgeries on the same day of the operation was 2.9% with variations among different surgical specialties; cancelled operations are more frequent in female patients, in patients aged between 50 and 80 years old, physical status classified as II or III according to the American Society of Anesthesiology, and without anaesthetic pre assessment or preoperative consultations; the three most relevant causes for cancellations are: lack of operative time, scarcity of beds and/or medical equipment, and changes in health status; most of which can be avoided and are the responsibility of the institution. Discussion: Different reasons for cancellation of elective operations reflect a variety of upstream and downstream processes causing cancellation of surgeries and whose origin/imputability is related to both the institution and patients. Conclusion: The rate of cancellations of elective surgeries on the same day of the operation is relatively low, but the causes are often preventable, thus justifying the generalization of cancellation reduction strategies. publishersversion published
Published: 2021

4. Emergency Abdominal Laparoscopic Surgery During the Coronavirus Disease 2019 Pandemic: Experience in a Private Center in Peru

Author: Luis Alcides García Barrionuevo, Victor Martinez Nole, Fiorella Palomino Escalante, Yahaira Tatiana Carpio Colmenares, Carlos Roncalla Saenz, Giuliano Borda-Luque, Miguel Roberto Li Valencia, Percy Mansilla Doria, and Daniel Cárdenas Ruiz de Castilla
Subjects: Laparoscopic surgery, Male, Conservative management, medicine.medical_treatment, laparoscopy, Comorbidity, 0302 clinical medicine, Laparoscopy/*statistics & numerical data, Pandemic, Peru, emergency surgery, Laparoscopy, Child, Aged, 80 and over, medicine.diagnostic_test, Incidence, Middle Aged, Emergencies, COVID-19/*epidemiology, Elective Surgical Procedures, 030220 oncology & carcinogenesis, Child, Preschool, Pandemics, purl.org/pe-repo/ocde/ford#3.02.11 [https], 030211 gastroenterology & hepatology, Female, Emergency Service, Hospital, Adult, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Adolescent, Digestive System Diseases, Emergency Service, Hospital/*statistics & numerical data, Digestive System Diseases/epidemiology/*surgery, 03 medical and health sciences, Young Adult, Disease severity, Emergency surgery, medicine, Humans, Elective Surgical Procedures/statistics & numerical data, Aged, Retrospective Studies, National health, business.industry, SARS-CoV-2, General surgery, COVID-19, Surgery, business, Peru/epidemiology
Abstract: Background: During the Health Emergency due to coronavirus disease 2019 (COVID-19) in Peru, elective surgeries were suspended and only emergency surgeries were allowed. Conservative management was considered as an alternative and laparoscopic surgery was indicated following safety recommendations. Surgically operated patients were at higher risk of becoming infected with COVID-19 due to hospital exposure, being more susceptible to complications. Methods: Retrospective cohort-type analytical study that includes patients who were admitted to a private center due to an emergency and who underwent laparoscopic gastrointestinal surgery during the National Health Emergency (group exposed to the COVID-19 pandemic) from March 11, 2020 to June 8, 2020 and were compared with those patients operated between March 11, 2019 and June 8, 2019 (group not exposed to the COVID-19 pandemic). Results: A total of 104 patients were identified, 59 patients operated during the COVID-19 pandemic. All were operated by laparoscopy, both groups with a similar degree of disease severity. There was no mortality or surgical reintervention. No surgeon at the institution was infected with the virus during the study period. Conclusions: The degree of severity of abdominal surgical pathologies in this time of pandemic has not increased compared with the previous year. Likewise, the laparoscopic approach to emergency surgery was safe and effective during the pandemic.
Published: 2020

5. Elective surgery cancellations due to the COVID-19 pandemic:global predictive modelling to inform surgical recovery plans

Author: Vohra, Akbar
Subjects: Adult, Models, Statistical, Infection Control/methods, Health Policy, Health Care Rationing/statistics & numerical data, Health Services Accessibility/statistics & numerical data, Humans, Bayes Theorem, Elective Surgical Procedures/statistics & numerical data, Global Health, Pandemics, health care economics and organizations, COVID-19/epidemiology
Abstract: Background: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19. Methods: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian Î²-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations. Results: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90Â·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72Â·3 per cent. Globally, 81Â·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37Â·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25Â·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption. Conclusion: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.
Published: 2020

6. Elective surgery cancellations due to the COVID-19 pandemic:global predictive modelling to inform surgical recovery plans

Author: Christiansen, Ida Cecilie, Granum, Simon Nørgaard, and Rasmussen, Bodil Steen
Subjects: Adult, Models, Statistical, Infection Control/methods, Health Policy, Health Care Rationing/statistics & numerical data, Health Services Accessibility/statistics & numerical data, Humans, Bayes Theorem, Elective Surgical Procedures/statistics & numerical data, Global Health, Pandemics, COVID-19/epidemiology
Abstract: BACKGROUND: The COVID-19 pandemic has disrupted routine hospital services globally. This study estimated the total number of adult elective operations that would be cancelled worldwide during the 12 weeks of peak disruption due to COVID-19.METHODS: A global expert response study was conducted to elicit projections for the proportion of elective surgery that would be cancelled or postponed during the 12 weeks of peak disruption. A Bayesian β-regression model was used to estimate 12-week cancellation rates for 190 countries. Elective surgical case-mix data, stratified by specialty and indication (surgery for cancer versus benign disease), were determined. This case mix was applied to country-level surgical volumes. The 12-week cancellation rates were then applied to these figures to calculate the total number of cancelled operations.RESULTS: The best estimate was that 28 404 603 operations would be cancelled or postponed during the peak 12 weeks of disruption due to COVID-19 (2 367 050 operations per week). Most would be operations for benign disease (90·2 per cent, 25 638 922 of 28 404 603). The overall 12-week cancellation rate would be 72·3 per cent. Globally, 81·7 per cent of operations for benign conditions (25 638 922 of 31 378 062), 37·7 per cent of cancer operations (2 324 070 of 6 162 311) and 25·4 per cent of elective caesarean sections (441 611 of 1 735 483) would be cancelled or postponed. If countries increased their normal surgical volume by 20 per cent after the pandemic, it would take a median of 45 weeks to clear the backlog of operations resulting from COVID-19 disruption.CONCLUSION: A very large number of operations will be cancelled or postponed owing to disruption caused by COVID-19. Governments should mitigate against this major burden on patients by developing recovery plans and implementing strategies to restore surgical activity safely.
Published: 2020

7. Critical care admission following elective surgery was not associated with survival benefit

Author: Kahan, Brennan C., Desponia, Koulenti, Kostoula, Arvaniti, Vanessa, Beavis, Douglas, Campbell, Matthew, Chan, Rui, Moreno, Pearse, Rupert M., Scott, Beattie, Pierre-Alain, Clavien, Nicolas, Demartines, Lee, A Fleisher, Mike, Grocott, James, Haddow, Andreas, Hoeft, Peter, Holt, Naomi, Pritchard, Andrew, Rhodes, Duminda, Wijeysundera, Matt, Wilson, Tahania, Ahmed, Kirsty, Everingham, Russell, Hewson, Marta, Januszewska, Rupert, M Pearse, Mandeep-Kaur, Phull, Richard, Halliwell, Mark, Shulman, Paul, Myles, Werner, Schmid, Michael, Hiesmayr, Patrick, Wouters, Stefan de Hert, Suzana, Lobo, Xiangming, Fang, Lars, Rasmussen, Emmanuel, Futier, Matthieu, Biais, Aurélien, Venara, Karem, Slim, Michael, Sander, Despoina, Koulenti, Mathew, Chan, Atul, Kulkarni, Susilo, Chandra, Aida, Tantri, Emad, Geddoa, Muntadhar, Abbas, Giorgio Della Rocca, Datin, Sivasakthi, Marzida, Mansor, Pastor, Luna, Arthur, Bouwman, Wolfgang, Buhre, Tim, Short, Tunde, Osinaike, Ricardo, Matos, Ioana, Grigoras, Mikhail, Kirov, Denis, Protsenko, Bruce, Biccard, Cesar, Aldecoa, Michelle, Chew, Christoph, Hofer, Martin, Hubner, James, Ditai, Tamas, Szakmany, Lee, Fleisher, Marissa, Ferguson, Michael, Macmahon, Ritchie, Cherian, Helen, Currow, Kathirgamanathan, Kanathiban, David, Gillespie, Edward, Pathmanathan, Katherine, Phillips, Jenifer, Reynolds, Joanne, Rowley, Jeanene, Douglas, Ross, Kerridge, Sameer, Garg, Michael, Bennett, Megha, Jain, David, Alcock, Nico, Terblanche, Rochelle, Cotter, Kate, Leslie, Marcelle, Stewart, Nicolette, Zingerle, Antony, Clyde, Oliver, Hambidge, Adam, Rehak, Sharon, Cotterell, Wilson Binh Quan Huynh, Timothy, Mcculloch, Erez, Ben-Menachem, Thomas, Egan, Jennifer, Cope, Paul, Fellinger, Simone, Haselberger, Caroline, Holaubek, Paul, Lichtenegger, Florian, Scherz, Franz, Hoffer, Veronika, Cakova, Andreas, Eichwalder, Norbert, Fischbach, Reinhold, Klug, Elisabeth, Schneider, Martin, Vesely, Reinhart, Wickenhauser, Karl Gernot Grubmueller, Marion, Leitgeb, Friedrich, Lang, Nancy, Toro, Marlene, Bauer, Friedrich, Laengle, Thomas, Mayrhofer, Christian, Buerkle, Karin, Forstner, Reinhard, Germann, Harald, Rinoesl, Elke, Schindler, Ernst, Trampitsch, Gerhard, Fritsch, Christian, Szabo, Jawad, Bidgoli, Hans, Verdoodt, Patrice, Forget, David, Kahn, Fernande, Lois, Mona, Momeni, Caroline, Prégardien, Audrey, Pospiech, Arnaud, Steyaert, Laurent, Veevaete, Dirk De Kegel, Karen De Jongh, Luc, Foubert, Carine, Smitz, Marcel, Vercauteren, Jan, Poelaert, Veerle Van Mossevelde, Jacques, Abeloos, Stefaan, Bouchez, Marc, Coppens, Luc De Baerdemaeker, Isabel, Deblaere, Ann De Bruyne, Stefan De Hert, Kristine, Fonck, Bjorn, Heyse, Tom, Jacobs, Koen, Lapage, Anneliese, Moerman, Martine, Neckebroek, Aliaksandra, Parashchanka, Nathalie, Roels, Nancy Van Den Eynde, Michael, Vandenheuvel, Jurgen Van Limmen, Ann, Vanluchene, Caroline, Vanpeteghem, Piet, Wyffels, Christel, Huygens, Punitha, Vandenbempt, Marc Van de Velde, Dimitri, Dylst, Bruno, Janssen, Evelien, Schreurs, Fábia Berganton Aleixo, Keulle, Candido, Hugo Dias Batista, Mario, Guimarães, Jaqueline, Guizeline, João, Hoffmann, Suzana, M Lobo, Francisco Ricardo Lobo, Vinícius, Nascimento, Katia, Nishiyama, Lucas, Pazetto, Daniela, Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela Dos Santos, Jaquelline, Jardim, Joao, Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg, Cardoso, Daniela, Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro, Réa-Neto, Fernando, Dias, Pedro, Azambuja, Marcos Freitas Knibel, Antonio, Martins, William, Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana, Caser, Marcio, Machado, Crisitiano, Aguzzoli, Sérgio, Baldisserotto, Fernanda Beck Tabajara, Fernanda, Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais, Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina, Hartmann, Marta, Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline, Azevedo, Juliana, Garcia, Marcel, Lopes, Bernardo, Maia, Paula, Maselli, Ralph, Melo, Weslley, Mendes, Matheus, Neves, Jacqueline, Ney, Claudio, Piras, Christopher, Applewhaite, Adrienne, Carr, Lorraine, Chow, Kaylene, Duttchen, Julena, Foglia, Michael, Greene, Ashley, Hinther, Kendra, Houston, Thomas Jared McCormick, Jennifer, Mikhayel, Sam, Montasser, Alex, Ragan, Andrew, Suen, Adrianna, Woolsey, Hai Chuan Yu, Duane, Funk, Stephen, Kowalski, Regina, Legaspi, Heather, Mcdonald, Faisal, Siddiqui, Jeremy, Pridham, Bernadette, Rowe, Sonia, Sampson, Barton, Thiessen, Geoff, Zbitnew, Andre, Bernard, Ronald, George, Philip, Jones, Rita, Moor, Naveed, Siddiqui, Alexandra, Wolfer, Diem, Tran, Denyse, Winch, Gary, Dobson, Thomas, Mccormick, Osama, Montasser, Richard, Hall, Leyla, Baghirzada, Si Yuan Dai, Gregory, Hare, Esther, Lee, Uma, Shastri, Albert, Tsui, Anmol, Yagnik, Danielle, Alvares, Stephen, Choi, Heather, Dwyer, Kathrina, Flores, Colin, Mccartney, Priya, Somascanthan, Carroll, Jo, Janneth, Pazmino-Canizares, Noam, Ami, Vincent, Chan, Anahi, Perlas, Ruth, Argue, Katie, Lavis, Kelly, Mayson, Ying, Cao, Hong, Gao, Tingju, Hu, Jie, Lv, Jian, Yang, Yang, Yang, Zhong, Yi, Jing, Zhou, Xiaohua, Zou, Miao, He, Xiaoying, Li, Dihuan, Luo, Haiying, Wang, Tian, Yu, Liyong, Chen, Lijun, Wang, Yunfei, Cai, Zhongming, Cao, Yanling, Li, Jiaxin, Lian, Haiyun, Sun, Sheng, Wang, Zhipeng, Wang, Kenru, Wang, Zhu, Yi, Xindan, Du, Hao, Fan, Yunbin, Fu, Lixia, Huang, Yanming, Huang, Haifang, Hwan, Hong, Luo, Pi-Sheng, Qu, Fan, Tao, Zhen, Wang, Guoxiang, Wang, Shun, Wang, Yan, Zhang, Xiaolin, Zhang, Chao, Chen, Weixing, Wang, Zhengyuan, Liu, Lihua, Fan, Jing, Tang, Yijun, Chen, Yongjie, Chen, Yangyang, Han, Changshun, Huang, Guojin, Liang, Jing, Shen, Jun, Wang, Qiuhong, Yang, Jungang, Zhen, Haidong, Zhou, Junping, Chen, Zhang, Chen, Xiaoyu, Li, Meng, Bo, Haiwang, Ye, Xiaoyan, Zhang, Yanbing, Bi, Jianqiao, Cao, Fengying, Guo, Hong, Lin, Yang, Liu, Meng, Lv, Pengcai, Shi, Xiumei, Song, Chuanyu, Sun, Yongtao, Sun, Yuelan, Wang, Shenhui, Wang, Min, Zhang, Rong, Chen, Jiabao, Hou, Yan, Leng, Qing-Tao, Meng, Qian, Li, Zi-Ying, Shen, Zhong-Yuan, Xia, Rui, Xue, Yuan, Zhang, Zhao, Bo, Xian-Jin, Zhou, Qiang, Chen, Huinan, Guo, Yongqing, Guo, Yuehong, Qi, Zhi, Wang, Jianfeng, Wei, Weiwei, Zhang, Lina, Zheng, Bao, Qi, Yaqiu, Chen, Yijiao, Chen, Yue, Fei, Nianqiang, Hu, Xuming, Hu, Min, Lei, Xiaoqin, Li, Xiaocui, Lv, Fangfang, Miao, Lingling, Ouyang, Qian, Lu, Conyu, Shen, Sun, Yu, Yuting, Wang, Dong, Wang, Chao, Wu, Liyuan, Xu, Jiaqi, Yuan, Lina, Zhang, Huan, Zhang, Yapping, Zhang, Jinning, Zhao, Chong, Zhao, Lei, Zhao, Tianzhao, Zheng, Dachun, Zhou, Haiyan, Zhou, Zhou, Ce, Kaizhi, Lu, Ting, Zhao, Changlin, He, Hong, Chen, Shasha, Chen, Baoli, Cheng, Jie, He, Lin, Jin, Caixia, Li, Hui, Li, Yuanming, Pan, Yugang, Shi, Xiao Hong Wen, Shuijing, Wu, Guohao, Xie, Kai, Zhang, Bing, Zhao, Xianfu, Lu, Feifei, Chen, Qisheng, Liang, Xuewu, Lin, Yunzhi, Ling, Gang, Liu, Jing, Tao, Yang, Lu, Jialong, Zhou, Fumei, Chen, Yunlin, Feng, Benchao, Hou, Jiamei, Lin, Mei, Liu, Foquan, Luo, Xiaoyun, Shi, Yingfen, Xiong, Lin, Xu, Shuangjia, Yang, Qin, Zhang, Huaigen, Zhang, Weihong, Zhao, Weilu, Zhao, Yun, Bai, Linbi, Chen, Sijia, Chen, Qinxue, Dai, Wujun, Geng, Kunyuan, Han, Xin, He, Luping, Huang, Binbin, Ji, Danyun, Jia, Shenhui, Jin, Qianjun, Li, Dongdong, Liang, Shan, Luo, Lulu, Lwang, Yunchang, Mo, Yuanyuan, Pan, Xinyu, Qi, Meizi, Qian, Jinling, Qin, Yelong, Ren, Yiyi, Shi, Junlu, Wang, Junkai, Wang, Leilei, Wang, Junjie, Xie, Yixiu, Yan, Yurui, Yao, Mingxiao, Zhang, Jiashi, Zhao, Xiuxiu, Zhuang, Yanqiu, Ai, Fang, Du, Long, He, Ledan, Huang, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Li, Meng, Su, Yazhuo, Yuan, Enman, Zhang, Jie, Zhang, Shuna, Zhao, Zhenrong, Ji, Ling, Pei, Wang, Li, Chen, Chen, Beibei, Dong, Jing, Li, Ziqiang, Miao, Hongying, Mu, Chao, Qin, Lin, Su, Zhiting, Wen, Keliang, Xie, Yonghao, Yu, Fang, Yuan, Xianwen, Hu, Zhang, Ye, Wangpin, Xiao, Zhipeng, Zhu, Qingqing, Dai, Kaiwen, Fu, Rong, Hu, Xiaolan, Hu, Song, Huang, Yaqi, Li, Yingping, Liang, Shuchun, Yu, Zheng, Guo, Yan, Jing, Tang, Na, Jie, Wu, Dajiang, Yuan, Ruilin, Zhang, Xiaoying, Zhao, Yuhong, Li, Hui-Ping, Bai, Chun-Xiao, Liu, Fei-Fei, Liu, Wei, Ren, Xiu-Li, Wang, Guan-Jie, Xu, Na, Hu, Bo, Li, Yangwen, Ou, Yongzhong, Tang, Shanglong, Yao, Shihai, Zhang, Cui-Cui, Kong, Bei, Liu, Tianlong, Wang, Wei, Xiao, Bo, Lu, Yanfei, Xia, Jiali, Zhou, Fang, Cai, Pushan, Chen, Shuangfei, Hu, Hongfa, Wang, Qiong, Xu, Liu, Hu, Liang, Jing, Bin, Li, Qiang, Liu, Yuejiang, Liu, Xinjian, Lu, Zhen Dan Peng, Xiaodong, Qiu, Quan, Ren, Youliang, Tong, Jin, Wang, Yazhou, Wen, Qiong, Wu, Jiangyan, Xia, Jue, Xie, Xiapei, Xiong, Shixia, Xu, Tianqin, Yang, Hui, Ye, Ning, Yin, Jing, Yuan, Qiuting, Zeng, Baoling, Zhang, Kang, Zheng, Jing, Cang, Shiyu, Chen, Fan, Yu, Shuying, Fu, Xiaodong, Ge, Baolei, Guo, Wenhui, Huang, Linghui, Jiang, Xinmei, Jiang, Liu, Yi, Yan, Pan, Yun, Ren, Shan, Qi, Jiaxing, Wang, Fei, Wang, Chi, Wu, Xiaoguang, Zhang, Ida Cecilie Christiansen, Simon Nørgaard Granum, Bodil Steen Rasmussen, Morten, Daugaard, Rajiv, Gambhir, Guðný Erla Steingrímsdóttir, Peter, Jensen-Gadegaard, Karsten Skovgaard Olsen, Hanna, Siegel, Katrine Zwicky Eskildsen, Mona Ring Gätke, Ida, Wibrandt, Simon Bisgaard Heintzelmann, Kai Henrik Wiborg Lange, Rune Sarauw Lundsgaard, Louise, Amstrup-Hansen, Claus, Hovendal, Michael, Larsen, Mette, Lenstrup, Tina, Kobborg, Jens Rolighed Larsen, Anette Barbre Pedersen, Søren Hübertz Smith, Rebecca Monett Oestervig, Arash, Afshari, Cheme, Andersen, Kim, Ekelund, Erik Lilja Secher, Birgitte, Brandsborg, Helene, Beloeil, Sigismond, Lasocki, Alexandre, Ouattara, Marlene, Sineus, Serge, Molliex, Marie Lim Legouge, Florent, Wallet, Antoine, Tesniere, Christophe, Gaudin, Paul, Lehur, Emma, Forsans, Stéphane de 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Anmol, Alvares, Danielle, Choi, Stephen, Dwyer, Heather, Flores, Kathrina, McCartney, Colin, Somascanthan, Priya, Carroll, Jo, Pazmino-Canizares, Janneth, Ami, Noam, Chan, Vincent, Perlas, Anahi, Argue, Ruth, Lavis, Katie, Mayson, Kelly, Cao, Ying, Gao, Hong, Hu, Tingju, Lv, Jie, Yang, Jian, Yang, Yang, Zhong, Yi, Zhou, Jing, Zou, Xiaohua, He, Miao, Li, Xiaoying, Luo, Dihuan, Wang, Haiying, Yu, Tian, Chen, Liyong, Wang, Lijun, Cai, Yunfei, Cao, Zhongming, Li, Yanling, Lian, Jiaxin, Sun, Haiyun, Wang, Sheng, Wang, Zhipeng, Wang, Kenru, Zhu, Yi, Du, Xindan, Fan, Hao, Fu, Yunbin, Huang, Lixia, Huang, Yanming, Hwan, Haifang, Luo, Hong, Qu, Pi-Sheng, Tao, Fan, Wang, Zhen, Wang, Guoxiang, Wang, Shun, Zhang, Yan, Zhang, Xiaolin, Chen, Chao, Wang, Weixing, Liu, Zhengyuan, Fan, Lihua, Tang, Jing, Chen, Yijun, Chen, Yongjie, Han, Yangyang, Huang, Changshun, Liang, Guojin, Shen, Jing, Wang, Jun, Yang, Qiuhong, Zhen, Jungang, Zhou, Haidong, Chen, Junping, Chen, Zhang, Li, Xiaoyu, Meng, Bo, Ye, Haiwang, Zhang, Xiaoyan, Bi, Yanbing, Cao, Jianqiao, Guo, Fengying, Lin, Hong, Liu, Yang, Lv, Meng, Shi, Pengcai, Song, Xiumei, Sun, Chuanyu, Sun, Yongtao, Wang, Yuelan, Wang, Shenhui, Zhang, Min, Chen, Rong, Hou, Jiabao, Leng, Yan, Meng, Qing-tao, Qian, Li, Shen, Zi-ying, Xia, Zhong-yuan, Xue, Rui, Zhang, Yuan, Zhao, Bo, Zhou, Xian-jin, Chen, Qiang, Guo, Huinan, Guo, Yongqing, Qi, Yuehong, Wang, Zhi, Wei, Jianfeng, Zhang, Weiwei, Zheng, Lina, Bao, Qi, Chen, Yaqiu, Chen, Yijiao, Fei, Yue, Hu, Nianqiang, Hu, Xuming, Lei, Min, Li, Xiaoqin, Lv, Xiaocui, Miao, Fangfang, Ouyang, Lingling, Qian, Lu, Shen, Conyu, Sun, Yu, Wang, Yuting, Wang, Dong, Wu, Chao, Xu, Liyuan, Yuan, Jiaqi, Zhang, Lina, Zhang, Huan, Zhang, Yapping, Zhao, Jinning, Zhao, Chong, Zhao, Lei, Zheng, Tianzhao, Zhou, Dachun, Zhou, Haiyan, Zhou, Ce, Lu, Kaizhi, Zhao, Ting, He, Changlin, Chen, Hong, Chen, Shasha, Cheng, Baoli, He, Jie, Jin, Lin, Li, Caixia, Li, Hui, Pan, Yuanming, Shi, Yugang, Wen, Xiao Hong, Wu, Shuijing, Xie, Guohao, Zhang, Kai, Zhao, Bing, Lu, Xianfu, Chen, Feifei, Liang, Qisheng, Lin, Xuewu, Ling, Yunzhi, Liu, Gang, Tao, Jing, Yang, Lu, Zhou, Jialong, Chen, Fumei, Feng, Yunlin, Hou, Benchao, Lin, Jiamei, Liu, Mei, Luo, Foquan, Shi, Xiaoyun, Xiong, Yingfen, Xu, Lin, Yang, Shuangjia, Zhang, Qin, Zhang, Huaigen, Zhao, Weihong, Zhao, Weilu, Bai, Yun, Chen, Linbi, Chen, Sijia, Dai, Qinxue, Geng, Wujun, Han, Kunyuan, He, Xin, Huang, Luping, Ji, Binbin, Jia, Danyun, Jin, Shenhui, Li, Qianjun, Liang, Dongdong, Luo, Shan, Lwang, Lulu, Mo, Yunchang, Pan, Yuanyuan, Qi, Xinyu, Qian, Meizi, Qin, Jinling, Ren, Yelong, Shi, Yiyi, Wang, Junlu, Wang, Junkai, Wang, Leilei, Xie, Junjie, Yan, Yixiu, Yao, Yurui, Zhang, Mingxiao, Zhao, Jiashi, Zhuang, Xiuxiu, Ai, Yanqiu, Du, Fang, He, Long, Huang, Ledan, Li, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Meng, Su, Yuan, Yazhuo, Zhang, Enman, Zhang, Jie, Zhao, Shuna, Ji, Zhenrong, Pei, Ling, Wang, Li, Chen, Chen, Dong, Beibei, Li, Jing, Miao, Ziqiang, Mu, Hongying, Qin, Chao, Su, Lin, Wen, Zhiting, Xie, Keliang, Yu, Yonghao, Yuan, Fang, Hu, Xianwen, Zhang, Ye, Xiao, Wangpin, Zhu, Zhipeng, Dai, Qingqing, Fu, Kaiwen, Hu, Rong, Hu, Xiaolan, Huang, Song, Li, Yaqi, Liang, Yingping, Yu, Shuchun, Guo, Zheng, Jing, Yan, Tang, Na, Wu, Jie, Yuan, Dajiang, Zhang, Ruilin, Zhao, Xiaoying, Li, Yuhong, Bai, Hui-Ping, Liu, Chun-Xiao, Liu, Fei-Fei, Ren, Wei, Wang, Xiu-Li, Xu, Guan-Jie, Hu, Na, Li, Bo, Ou, Yangwen, Tang, Yongzhong, Yao, Shanglong, Zhang, Shihai, Kong, Cui-Cui, Liu, Bei, Wang, Tianlong, Xiao, Wei, Lu, Bo, Xia, Yanfei, Zhou, Jiali, Cai, Fang, Chen, Pushan, Hu, Shuangfei, Wang, Hongfa, Xu, Qiong, Hu, Liu, Jing, Liang, Li, Bin, Liu, Qiang, Liu, Yuejiang, Lu, Xinjian, Peng, Zhen Dan, Qiu, Xiaodong, Ren, Quan, Tong, Youliang, Wang, Jin, Wen, Yazhou, Wu, Qiong, Xia, Jiangyan, Xie, Jue, Xiong, Xiapei, Xu, Shixia, Yang, Tianqin, Ye, Hui, Yin, Ning, Yuan, Jing, Zeng, Qiuting, Zhang, Baoling, Zheng, Kang, Cang, Jing, Chen, Shiyu, Fan, Yu, Fu, Shuying, Ge, Xiaodong, Guo, Baolei, Huang, Wenhui, Jiang, Linghui, Jiang, Xinmei, Liu, Yi, Pan, Yan, Ren, Yun, Shan, Qi, Wang, Jiaxing, Wang, Fei, Wu, Chi, Zhang, Xiaoguang, Christiansen, Ida Cecilie, Granum, Simon Nørgaard, Rasmussen, Bodil Steen, Daugaard, Morten, Gambhir, Rajiv, Steingrímsdóttir, Guðný Erla, Jensen-Gadegaard, Peter, Olsen, Karsten Skovgaard, Siegel, Hanna, Zwicky Eskildsen, Katrine, Gätke, Mona Ring, Wibrandt, Ida, Heintzelmann, Simon Bisgaard, Lange, Kai Henrik Wiborg, Lundsgaard, Rune Sarauw, Amstrup-Hansen, Louise, Hovendal, Clau, Larsen, Michael, Lenstrup, Mette, Kobborg, Tina, Larsen, Jens Rolighed, Pedersen, Anette Barbre, Smith, Søren Hübertz, Oestervig, Rebecca Monett, Afshari, Arash, Andersen, Cheme, Ekelund, Kim, Secher, Erik Lilja, Brandsborg, Birgitte, Beloeil, Helene, Lasocki, Sigismond, Ouattara, Alexandre, Sineus, Marlene, Molliex, Serge, Legouge, Marie Lim, Wallet, Florent, Tesniere, Antoine, Gaudin, Christophe, Lehur, Paul, Forsans, Emma, de 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Despina, Fiorentza, Klara, Frantzeskos, Georgio, Geromarkaki, Elisavet, Kafkalaki, Kalliopi, Kalogridaki, Marina, Karydi, Konstyllia, Kokkini, Sofia, Kougentakis, Georgio, Lefaki, Tatiana, Lilitsis, Emmanouhl, Makatounaki, Aikaterini, Malliotakis, Polychroni, Michelakis, Dimostheni, Neonaki, Maria, Nyktari, Vasileia, Palikyra, Iliana, Papadakis, Eleftherio, Papaioannou, Alexandra, Sfakianakis, Konstantino, Sgouraki, Maria, Souvatzis, Xenia, Spartinou, Anastasia, Stefanidou, Nefeli, Syrogianni, Paulina, Tsagkaraki, Georgia, Arnaoutoglou, Elena, Arnaoutoglou, Christina, Bali, Christina, Bouris, Vasilio, Doumos, Rodamantho, Gkini, Konstantia-Paraskevi, Kapaktsi, Clio, Koulouras, Vasilio, Lena, Arian, Lepida, Dimitra, Michos, Evangelo, Papadopoulos, Dimitrio, Paschopoulos, Mina, Rompou, Vaia Aliki, Siouti, Ioanna, Tsampalas, Stavro, Ververidou, Ourania, Zilis, Georgio, Charlalampidoy, Alexandra, Christodoulidis, Gregory, Flossos, Andrea, Stamoulis, Konstantino, Tsang, Man Shing Caleb, Tsang, Man Shing, Lai, Man Ling, Yip, Chi Pang, Chan, Hey Man Heyman, Law, Bassanio, Li, Wing Sze, Chu, Hiu Man, Koo, Emily Gar Yee, Lam, Chi Cheong Joe, Cheng, Ka Ho, Lam, Tracy, Chu, Susanna, Lam, Wing Yan, Wong, Kin Wai Kevin, Kwok, Dily, Hung, Ching Yue Janice, Chan, Wai Kit Jacky, LamWong, Wing, Chung, Chun Kwong Eric, Ma, Shu Kai, Kaushik, Shuchi, Shah, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Ar, Praburaj, Muthuchellappan, Radhakrishnan, Agarwal, Vandana, Divatia, Jigeeshu, Mishra, Sanghamitra, Nimje, Ganesh, Pande, Swati, Savarkar, Sukhada, Shrivastava, Aditi, Thomas, Martin, Yegnaram, Shashikant, Hidayatullah, Rahmat, Puar, Nasman, Niman, Sumara, Indra, Imai, Hamzah, Zulkarnain, Yuliana, Annika, Abidin, Ucu Nurhadiat, Dursin, Ade Nurkacan, Kurnia, Andri, Susanti, Ade, Handayani, Dini, Aribawa, Mahaalit Alit, Arya, Aryabiantara, Senapathi, Tjokorda Gde Agung, Utara, Utara Hartawan, Wid, Widnyana Made, Wima, Semarawima, Wir, Wiryana Made, Jehosua, Brillyan, Kaunang, Jonathan, 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Woon, Yuan Liang, Abd Hadi, Husni Zaeem, Ahmad Azam, Ummi Azmira, Alias, Abdul Hafiz, Kesut, Saiful Aizar, Lee, Jun May, Ooi, Dar Vin, Sulaiman, Hetty Ayuni, Tengku Lih, Tengku Alini, Veerakumaran, Jeyaganesh, Rojas, Eder, Resendiz, Gerardo Esteban Alvarez, Zapata, Darcy Danitza Mari, Aguilar López, Julio Cesar Jesú, Flores, Armando Adolfo Alvarez, Amador, Juan Carlosc Bravo, Avila, Erendira Jocelin Dominguez, Aquino, Laura Patricia González, Rodriguez, Ricardo Lopez, Landa, Mariana Torre, Urias, Emma, Hollmann, Marku, Hulst, Abraham, Kirzner, Osne, Preckel, Benedikt, Koopman-van Gemert, Ankie, Buise, Marc, Tolenaar, Noortje, Weber, Eric, de Fretes, Jennifer, Houweling, Peter, Ormskerk, Patricia, Van Bommel, Jasper, Lance, Marcu, Smit-Fun, Valerie, van Zundert, Tom, Baas, Peter, de Boer, Hans Donald, Sprakel, Joost, Elferink-Vonk, Renske, Noordzij, Peter, van Zeggeren, Laura, Brand, Bastiaan, spanjersberg, Rob, ten Bokkel-Andela, Janneke, Numan, Janneke, van Klei, Wilton, van Zaane, 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Sarki, Adamu Muhammad, Adekola, Oyebola, Akanmu, Olanrewaju, Durodola, Akanmu, Olukoju, Olusegun, Raji, Victor, Olajumoke, Tokunbo, Oyebamiji, Emmanuel, Adenekan, Anthony, Adetoye, Adenekan, Faponle, Folayemi, Olateju, Simeon, Owojuyigbe, Afolabi, Talabi, Ademola, Adenike, Odewabi, Adewale, Badru, Collins, Nwokoro, Ezekiel, Emmanuel, Fatungase, Oluwabunmi Motunrayo, Grace, Anuforo, Sola, Sotannde, Stella, Ogunmuyiwa, Ademola, Adeyinka, Adeolu, Augustine A., Adigun, Tinuolac, Akinwale, Mukaila, Fasina, Oluyemi, Gbolahan, Olalere, Idowu, Olusola, Olonisakin, Rotimi Peter, Osinaike, Babatunde Babasola, Asudo, Felicia, Mshelia, Danladi, Abdur-Rahman, Lukman, Agodirin, Olayide, Bello, Jibril, Bolaji, Benjamin, Oyedepo, Olanrewaju Olubukola, Ezike, Humphrey, Iloabachie, Ikechukwu, Okonkwo, Ikemefuna, Onuora, Elia, Onyeka, Tonia, Ugwu, Innocent, Umeh, Friday, Alagbe-Briggs, Olubusola, Dodiyi-Manuel, Amabra, Echem, Richard, Obasuyi, Bright, Onajin-Obembe, Bisola, Bandeira, Maria Expedito, Martins, Alda, Tomé, Miguel, Martins Costa, Ana Cristina Miranda, Krystopchuk, Andriy, Branco, Teresa, Esteves, Simao, Melo, Marco António, Monte, Júlia, Rua, Fernando, Martins, Isabel, Pinho-Oliveira, Vítor Miguel, Rodrigues, Carla Maria, Cabral, Raquel, Marques, Sofia, Rêgo, Sara, Teixeira Jesus, Joana Sofia, Conceição Marques, Maria, Romao, Cristina, Dias, Sandra, Santos, Ana Margarida, Alves, Maria Joao, Salta, Cristina, Cruz, Salome, Duarte, Célia, Furtado Paiva, António Armando, do Nascimento Cabral, Tiago, Fariae Maia, Dionisio, Correia da Silva, Rui Freitas Mendonça, Langner, Anuschka, Oliveira Resendes, Hernâni, da Conceição Soares, Maria, Abrunhosa, Alexandra, Faria, Filomena, Miranda, Lina, Pereira, Helena, Serra, Sofia, Ionescu, Daniela, Margarit, Simona, Mitre, Calin, Vasian, Horatiu, Manga, Gratiela, Stefan, Andreea, Tomescu, Dana, Filipescu, Daniela, Paunescu, Marilena-Alina, Stefan, Mihai, Stoica, Radu, Gavril, Laura, Pătrăşcanu, Emilia, Ristescu, Irina, Rusu, Daniel, Diaconescu, Ciresica, Iosep, Gabriel Florin, Pulbere, Dorin, Ursu, Irina, Balanescu, Andreea, Grintescu, Ioana, Mirea, Liliana, Rentea, Irina, Vartic, Mihaela, Lupu, Mary-Nicoleta, Stanescu, Dorin, Streanga, Lavinea, Antal, Oana, Hagau, Natalia, Patras, Dumitru, Petrisor, Cristina, Tosa, Flaviu, Tranca, Sebastian, Copotoiu, Sanda Maria, Ungureanu, Liviu Lucian, Harsan, Cristian Remu, Papurica, Mariu, Cernea, Daniela Denisa, Dragoescu, Nicoleta Alice, Aflori, Laura, Vaida, Carmen, Ciobotaru, Oana Roxana, Aignatoaie, Mariana, Carp, Cristina Paula, Cobzaru, Isabelle, Mardare, Oana, Purcarin, Bianca, Tutunaru, Valentin, Ionita, Victor, Arustei, Mirela, Codita, Anisoara, Busuioc, Mihai, Chilinciuc, Ion, Ciobanu, Cristina, Belciu, Ioana, Tincu, Eugen, Blaj, Mihaela, Grosu, Ramona-Mihaela, Sandu, Gigel, Bruma, Dana, Corneci, Dan, Dutu, Madalina, Krepil, Adriana, Copaciu, Elena, Dumitrascu, Clementina Oana, Jemna, Ramona, Mihaescu, Florentina, Petre, Raluca, Tudor, Cristina, Ursache, Elena, Kulikov, Alexander, Lubnin, Andrey, Grigoryev, Evgeny, Pugachev, Stanislav, Tolmasov, Alexander, Hussain, Ayyaz, Ilyina, Yana, Roshchina, Anna, Iurin, Aleksandr, Chazova, Elena, Dunay, Artem, Karelov, Alexey, Khvedelidze, Irina, Voldaeva, Olga, Belskiy, Vladislav, Dzhamullaev, Parvin, Grishkowez, Elena, Kretov, Vladimir, Levin, Valeriy, Molkov, Aleksandr, Puzanov, Sergey, Samoilenko, Aleksandr, Tchekulaev, Aleksandr, Tulupova, Valentina, Utkin, Ivan, Allorto, Nikki Leigh, Bishop, David Gray, Builu, Pierre Monji, Cairns, Carel, Dasrath, Ashish, de Wet, Jacque, den Hoedt, Marielle, Grey, Ben, Hayes, Morgan Philip, Küsel, Belinda Senta, Shangase, Nomcebo, Wise, Robert, Cacala, Sharon, Farina, Zane, Govindasamy, Vishendran, Kruse, Carl-Heinz, Lee, Carolyn, Marais, Leonard, Naidoo, Thinagrin Dhasarthun, Rajah, Chantal, Rodseth, Reitze Nil, Ryan, Lisa, von Rhaden, Richard, Adam, Suwayba, Alphonsus, Christella, Ameer, Yusuf, Anderson, Frank, Basanth, Sujith, Bechan, Sudha, Bhula, Chettan, Biccard, Bruce M., Biyase, Thuli, Buccimazza, Ine, Cardosa, Jorge, Chen, Jame, Daya, Bhavika, Drummond, Leanne, Elabib, Ali, Goad, Ehab Helmy Abdel, Goga, Ismail E., Goga, Riaz, Harrichandparsad, R., Hodgson, Richard E., Jordaan, J., Kalafatis, Nicky, Kampik, Christian, Landers, At, Loots, Emil, Madansein, Rajhmum, Madaree, Anil, Madiba, Thandinkosi E., Manzini, Vukani T., Mbuyisa, Mbali, Moodley, Rajan, Msomi, Mduduzi, Mukama, Innocent, Naidoo, Desigan, Naidoo, Rubeshan, Naidu, Tesuven K., Ntloko, Sindiswa, Padayachee, Eneshia, Padayachee, Lucelle, Phaff, Martijn, Pillay, Bala, Pillay, Desigan, Pillay, Lutchmee, Ramnarain, Anupa, Ramphal, Suren R., Ryan, Paul, Saloojee, Ahmed, Sebitloane, Motshedisi, Sigcu, Noluyolo, Taylor, Jenna L., Torborg, Alexandra, Visser, Linda, Anderson, Philip, Conradie, Alae, de Swardt, Mathew, de Villiers, Martin, Eikman, Johan, Liebenberg, Riaan, Mouton, Johan, Paton, Abbey, van der Merwe, Louwrence, Wilscott-Davids, Candice, Barrett, Wendy Joan, Bester, Marlet, de Beer, Johan, Geldenhuys, Jacque, Gouws, Hanni, Potgieter, Jan-Hendrik, Strydom, Magdel, Wilberforce-Turton, Edwin, Chetty, Rubendraj R., Chirkut, Subash, Cronje, Larissa, de Vasconcellos, Kim, Dube, Nokukhanya Z., Sibusiso Gama, N., Green, Garyth M., Green-Thompson, Randolph, Kinoo, Suman Mewa, Kistnasami, Prenolin, Maharaj, Kapil, Moodley, Manogaran S., Mothae, Sibongile J., Naidoo, Ruvashni, Aslam, M., Noorbhai, F., Rughubar, Vivesh, Reddy, Jenendhiran, Singh, Avesh, Skinner, David L., Smith, Murray J., Singh, Bhagwan, Misra, Ravi, Naidoo, Maheshwar, Ramdharee, Pireshin, Selibea, Yvonne, Sewpersad, Selina, Sham, Shailendra, Wessels, Joseph D., Africander, Cucu, Bejia, Tarek, Blakemore, Stephen P., Botes, Marisa, Bunwarie, Bimalshakth, Hernandez, Carlos B., Jeeraz, Mohammud A., Legutko, Dagmara A., Lopez, Acela G., De Meyer, Jenine N., Muzenda, Tanaka, Naidoo, Noel, Patel, Maryam, Pentela, Rao, Junge, Marina, Mansoor, Naj, Rademan, Lana, Scislowski, Pawel, Seedat, Ismail, van den Berg, Bianca, van der Merwe, Doreen, van Wyk, Steyn, Govender, Komalan, Naicker, Darshan, Ramjee, Rajesh, Saley, Mueen, Kuhn, Warren Paul, Matos-Puig, Roel, Moolla, Zaheer, Lisi, Alberto, Perez, Gisela, Valle Beltran, Anna, Lozano, Angel, Delgado Navarro, Carlo, Duca, Alejandro, Pastor Martinez, Ernesto, Ferrando, Carlo, Fuentes, Isabel, García-Pérez, Maria Luisa, Gracia, Estefania, Izquierdo Palomares, Ana, Katime, Antonio, Miñana, Amanda, Incertis, Raul, Romero, Esther, Romero Garcia, Carolina Soledad, Rubio, Concepcion, Socorro Artiles, Tania, Soro, Marina, Valls, Paola, Laguarda, Gisela Alaman, Benavent, Pau, Cuenca, Vicente Chisbert, Cueva, Andreu, Lafuente, Matilde, Parra, Asuncion Marque, Rodrigo, Alejandra Romero, Sanchez-Morcillo, Silvia, Tormo, Sergi, Redondo, Francisco Javier, De Andres, Jose, Gómez Diago, Lorena, Hernández Cádiz, Maria José, Manuel, Granell Gil, Peris, Raquel, Saiz, Cristina, Tatay, Jose, Tebar Soto, Maria Teresa, Brunete, Tamara, Cancho, David, Delgado García, David R., Zamudio, Diana, Garcia Del Valle, Santiago, Luz Serrano, M., Alonso, Eduardo, Anillo, Victor, Maseda, Emilio, Salgado, Patricia, Suarez, Lui, Suarez-de-la-Rica, Alejandro, Villagrán, María José, Alonso, José Ignacio, Cabezuelo, Estefania, Garcia-Saiz, Irene, Lopez del Moral, Olga, Martín, Silvia, Perez Gonzalez, Alba, Tovar Doncel, Sherezade, Vera, Martin Agüero, Ávila Sánchez, Francisco José, Castaño, Beatriz, Castaño Moreira, Beatriz, Flores Risco, Sahely, Paz Martín, Daniel, Pérez Martín, Fernando, Poza, Paloma, Ruiz, Adela, Serna Martínez, Wilson Fabio, Vicente, Bárbara Vázquez, Dominguez, Saul Velaz, Fernández, Salvador, Munoz-López, Alfonso, Bernat, Maria Jose, Mas, Arantxa, Planas, Kenneth, Jawad, Monir, Saeed, Yousif, Hedin, Annika, Levander, Helena, Holmström, Sandra, Lönn, David, Zoerner, Frank, Åkring, Irene, Widmark, Carl, Zettergren, Jan, Liljequist, Victor Aspelund, Nystrom, Lena, Odeberg-Wernerman, Suzanne, Oldner, Ander, Reje, Patrik, Lyckner, Sara, Sperber, Jesper, Adolfsson, Anne, Klarin, Bengt, Ögren, Katrin, Barras, Jean-Pierre, Bührer, Thoma, Despotidis, Vasileio, Helmy, Naeder, Holliger, Stephan, Raptis, Dimitri Aristotle, Schmid, Roger, Meyer, Antoine, Jaquet, Yve, Kessler, Ulf, Muradbegovic, Mirza, Nahum, Solange R., Rotunno, Teresa, Schiltz, Bori, Voruz, Françoi, Worreth, Marc, Christoforidis, Dimitri, Popeskou, Sotirios Georgio, Furrer, Marku, Prevost, Gian Andrea, Stocker, Andrea, Lang, Klau, Breitenstein, Stefan, Ganter, Michael T., Geisen, Martin, Soll, Christopher, Korkmaz, Michelle, Lubach, Iri, Schmitz, Michael, Meyer zu Schwabedissen, Moritz, Zingg, Ur, Hillermann, Thoma, Wildi, Stefan, Pinto, Bernardo Bollen, Walder, Bernhard, Hübner, Martin, Mariotti, Giustina, Slankamenac, Ksenija, Namuyuga, Mirioce, Kyomugisha, Edward, Kituuka, Olivia, Wesonga Shikanda, Anne, Kakembo, Nasser, Otim Tom, Charle, Webombesa, Antonina, Bua, Emmanuel, Ssettabi, Eden Michael, Epodoi, Joseph, Kabagenyi, Fiona, Kirya, Fred, Dempsey, Ged, Seasman, Colette, Basit Nawaz Khan, Raja, Kurasz, Claire, Macgregor, Mark, Shawki, Burhan, Hariharan, Vimal, Chau, Simon, Ellis, Kate, Butt, Georgina, Chicken, Dennis-Wayne, Christmas, Natasha, Allen, Samantha, Daniel, Gayatri Daniel, Dempster, Angie, Kemp, Juliette, Matthews, Lewi, Mcglone, Philip, Tambellini, Joanne, Trodd, Dawn, Freitas, Katie, Garg, Atul, Karpate, Shilpaja, Kulkarni, Aditi, O’Hara, Chloe, Troko, Jtroko, Angus, Kirsty, Bradley, Jacqueline, Brennan, Emma, Brooks, Carolyn, Brown, Janette, Brown, Gemma, Finch, Amanda, Gratrix, Karen, Hesketh, Sue, Hill, Gillian, Jeffs, Carol, Morgan, Maureen, Pemberton, Chri, Slawson, Nicola, Spickett, Helen, Swarbrick, Gemma, Thomas, Megan, Van Duyvenvoorde, Greta, Brennan, Andrew, Briscoe, Richard, Cooper, Sarah, Lawton, Tom, Northey, Martin, Senaratne, Rashmi, Stanworth, Helen, Burrows, Lorna, Cain, Helen, Craven, Rachael, Davies, Keith, Jonas, Attila, Pachucki, Marcin, Walkden, Graham, Davies, Helen, Gudaca, 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Amir, Shekar, Priya, Harden, Catherine, Hollands, Heidi, King, Angela, March, Linda, Minto, Gary, Patrick, Abigail, Waugh, Darren, Kumara, Paramesh, Simeson, Karen, Yarwood, Jamie, Browning, Julie, Hatton, Jonathan, Julian, Howe, Mitra, Atideb, Newton, Maria, Pernu, Pawan, Wilson, Alison, Commey, Thelma, Foot, Helen, Glover, Lyn, Gupta, Ajay, Lancaster, Nicola, Levin, Jill, Mackenzie, Felicity, Mestanza, Claire, Nofal, Emma, Pout, Lauren, Varden, Rosanna, Wild, Jonathan, Jones, Stephanie, Moreton, Sarah, Pulletz, Mark, Davies, Charlotte, Martin, Matthew, Thomas, Sian, Burns, Karen, McArthur, Carol, Patel, Panna, Lau, Gary, Rich, Natalie, Davis, Fiona, Lyons, Rachel, Port, Beth, Prout, Rachel, Smith, Christopher, Adelaja, Yemi, Bennett, Victoria, Bidd, Heena, Dumitrescu, Alexandra, Murphy, Jacqui Fox, Keen, Abigail, Mguni, Nhlanhla, Ong, Cheng, Adams, George, Boshier, Pier, Brown, Richard, Butryn, Izabella, Chatterjee, Jayanta, Freethy, Alexander, Lockwood, Geoffrey, Tsakok, Maria, Tsiligiannis, Sophia, Peat, William, Stephenson, Lorraine, Bradburn, Mike, Pick, Sara, Cunha, Pedro, Olagbaiye, Olufemi, Tayeh, Salim, Abernethy, Caroline, Balasubramaniam, Madhu, Bennett, Rachael, Bolton, David, Martinson, Victoria, Naylor, Charde, Bell, Stephanie, Heather, Blaylock, Kushakovsky, Vlad, Alcock, Liam, Alexander, Hazel, Anderson, Colette, Baker, Paul, Brookes, Morag, Cawthorn, Louise, Cirstea, Emanuel, Colling, Kerry, Coulter, Ian, Das, Suparna, Haigh, Kathryn, Hamdan, Alhafidz, Hugill, Keith, Kottam, Lucksy, Lisseter, Emily, Mawdsley, Matthew, McGivern, Julie, Padala, Krishnaveni, Phelps, Victoria, kumar, Vineshykaa Ramesh, Stewart, Kirsten, Towse, Kayley, Tregonning, Julie, Vahedi, Ali, Walker, Alycon, Baines, Duncan, Bilolikar, Anjali, Chande, Shiv, Copley, Edward, Dunk, Nigel, Kulkarni, Raghavendra, Kumar, Pawan, Metodiev, Yavor, Ncomanzi, Dumisani, Raithatha, Bhavesh, Raymode, Parizade, Szafranski, Jan, Twohey, Linda, Watt, Philip, Weatherall, Lucie, Weatherill, J., Whitman, Zoe, Wighton, Elinor, Abayasinghe, Chamika, Chan, Alexander, Darwish, Sharif, Gill, Jame, Glasgow, Emma, Hadfield, Daniel, Harris, Clair, Kochhar, Arun, Mellis, Clare, Pool, Andrew, Riozzi, Paul, Selman, Andrew, Smith, Emma-Jane, Vele, Liana, Gercek, Yuksel, Guy, Kramer, Holden, Dougla, Watson, Nichola, Whysall, Karen, Andreou, Prematie, Hales, Dawn, Thompson, Jonathan, Bowrey, Sarah, McDonald, Shara, Gilmore, Jemma, Hills, Vicky, Kelly, Chan, Kelly, Sinead, Lloyd, Geraint, Abbott, Tom, Gall, Lewi, Torrance, Hew, Vivian, Mark, Berntsen, Emer, Nolan, Tracey, Turner, Angu, Vohra, Akbar, Brown, Andrew, Clark, Richard, Coughlan, Elaine, Daniel, Conway, Patvardhan, Chinmay, Pearson, Rachel, Predeep, Sheba, Saad, Hesham, Shanmugam, Mohanakrishnan, Varley, Simon, Wylie, Katharine, Cooper, Lucy, Makowski, Arystarch, Misztal, Beata, Moldovan, Eliza, Pegg, Claire, Donovan, Andrew, Foot, Jayne, Large, Simon, Claxton, Andrew, Netke, Bhagyashree, Armstrong, Richard, Calderwood, Claire, Kwok, Andy, Mohr, Otto, Oyeniyi, Peter, Patnaik, Lisa, Post, Benjamin, Ali, Sarah, Arshad, Homa, Baker, Gerard, Brenner, Laura, Brincat, Maximilian, Brunswicker, Annemarie, Cox, Hannah, Cozar, Octavian Ionut, Durst, Alexander, Fengas, Lior, Flatt, Jim, Glister, Georgina, Narwani, Vishal, Photi, Evangelo, Rankin, Adeline, Rosbergen, Melissa, Tan, Mark, Beaton, Ceri, Horn, Rachel, Hunt, Jane, Rousseau, Guy, Stancombe, Lucia, Absar, Mohammed, Allsop, Joanne, Drinkwater, Zoe, Hodgkiss, Tracey, Smith, Kirsty, Brown, Jamie, Alexander-Sefre, Farhad, Campey, Lorraine, Dudgeon, Lucy, Hall, Kathryn, Hitchcock, Rachael, James, Lynne, Smith, Kate, Winstone, Ulrika, Ahmad, Norfaizan, Bauchmuller, Kri, Harrison, Jonathan, Jeffery, Holly, Miller, Duncan, Pinder, Angela, Pothuneedi, Sailaja, Rosser, Jonathan, Sanghera, Sumayer, Swift, Diane, Walker, Rachel, Bester, Delia, Cavanagh, Sarah, Cripps, Heather, Daniel, Harvey, Lynch, Julie, Paton, Alison, Pyke, Shirley, Scholefield, John, Whitworth, Helen, 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Graham, Datson, Amanda, Fouracres, Anna, Graterol, Juan, Graves, Lynne, Hong, Bosun, Ishimaru, Alexander, Karthikeyan, Arvind, King, Helen, Lawson, Tom, Lee, Gregory, Lyons, Saoirse, Macalister Hall, Andrew, Mathoulin, Sophie, Mcintyre, Eilidh, Mclaughlin, Danny, Mulcahy, Kathleen, Ratcliffe, Anna, Robbins, Jame, Sung, Weilin, Tayo, Adeoluwa, Trembath, Lisa, Venugopal, Suneetha, Walker, Robert, Wigmore, Geoffrey, Boereboom, Catherine, Downes, Charlotte, Humphries, Ryan, Melbourne, Susan, Smith, Coral, Tou, Samson, Ullah, Shafa, Batchelor, Nick, Boxall, Leigh, Broomby, Rupert, Deen, Tariq, Hellewell, Alistair, Helliwell, Laurence, Hutchings, Melanie, Hutchins, David, Keenan, Samantha, Mackie, Donna, Donna, Alison, Smith, France, Stone, Lucy, Thorpe, Kevin, Wassall, Richard, Woodgate, Andrew, Baillie, Shelley, Campbell, Tara, James, Sarah, King, Chri, Marques de Araujo, Daniela, Martin, Daniel, Morkane, Clare, Neely, Julia, Rajendram, Rajkumar, Burton, Megan, James, Kathryn, Keevil, Edward, Minik, Orsolya, Morgan, Jenna, Musgrave, Anna, Rajanna, Harish, Roberts, Tracey, Adamson, Michael, Jumbe, Sandra, Kendall, Jennie, Muthuswamy, Mohan Babu, Anderson, Charlotte, Cruikshanks, Andrew, Wrench, Ian, Zeidan, Lisa, Ardern, Diane, Harris, Benjamin, Hellstrom, Johanna, Martin, Jane, Thomas, Richard, Varsani, Nimu, Wrey Brown, Caroline, Docherty, Philip, Gillies, Michael, McGregor, Euan, Usher, Helen, Craig, Jayne, Smith, Andrew, Ahmad, Tahania, Bodger, Phoebe, Creary, Thai, Fowler, Alexander, Hewson, Ru, Ijuo, Eke, Jones, Timothy, Kantsedikas, Ilya, Lahiri, Sumitra, McLean, Aaron Lawson, Niebrzegowska, Edyta, Phull, Mandeep, Wang, Difei, Wickboldt, Nadine, Baldwin, Jacqueline, Doyle, Donna, Mcmullan, Sean, Oladapo, Michelle, Owen, Thoma, Williams, Alexandra, Daniel, Hull, Gregory, Peter, Husain, Tauqeer, Kirk-Bayley, Justin, Mathers, Edward, Montague, Laura, White, Stuart, Avis, Joanne, Cook, Tim, Dali-Kemmery, Lola, Kerslake, Ian, Lambourne, Victoria, Pearson, Annabel, 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Knaggs, Alison, Markar, Sheraz, Perera, Anisha, Scott, Alasdair, Shida, Asako, Sirha, Ravneet, Wright, Sally, Frost, Victoria, Gray, Catherine, MacGregor, Mark, Andrews, Emma, Arrandale, Lindsay, Barrett, Stephen, Cifra, Elna, Cooper, Mariese, Dragnea, Drago, Elna, Cifra, Maclean, Jennifer, Meier, Sonja, Milliken, Donald, Munns, Christopher, Ratanshi, Nadir, Salvana, Abegail, Watson, Anthony, Ali, Hani, Campbell, Gill, Critchley, Rebecca, Hicks, Catherine, Liddle, Alison, Pass, Marc, Ritchie, Charlotte, Thomas, Charlotte, Too, Lingxi, Welsh, Sarah, Gill, Talvinder, Johnson, Joanne, Reed, Joanne, Davis, Edward, Papadopoullos, Sam, Attwood, Clare, Biffen, Andrew, Boulton, Kerenza, Gray, Sophie, Hay, David, Mills, Sarah, Montgomery, Jane, Riddell, Rory, Simpson, Jame, Bhardwaj, Neeraj, Paul, Elaine, Uwubamwen, Nosakhare, Alexander, Maini, Arrich, Jame, Arumugam, Swarna, Blackwood, Dougla, Boggiano, Victoria, Brown, Robyn, Lam Chan, Yik, Chatterjee, Devnandan, Chhabra, Ashok, Christian, Rachel, Costelloe, Hannah, Coxwell Matthewman, Madeline, Dalton, Emma, Darko, Julia, Davari, Maria, Dave, Tejal, Deacon, Matthew, Deepak, Shantal, Edmond, Holly, Ellis, Jessica, El-Sayed, Ahmed, Eneje, Philip, English, Rose, Ewe, Renee, Foers, William, Franklin, John, Gallego, Laura, Garrett, Emily, Goldberg, Olivia, Goss, Harry, Greaves, Rosanna, Harris, Rudy, Hennings, Charle, Jones, Eleanor, Kamali, Nelson, Kokkinos, Naomi, Lewis, Cary, Lignos, Leda, Malgapo, Evaleen Victoria, Malik, Rizwana, Milne, Andrew, Mulligan, John-Patrick, Nicklin, Philippa, Palipane, Natasha, Parsons, Thoma, Piper, Rebecca, Prakash, Rohan, Ramesh, Byron, Rasip, Sarah, Reading, Jacob, Rela, Mariam, Reyes, Anna, Robert, Stephen, Rooms, Martin, Shah, Karishma, Simons, Henry, Solanki, Shalil, Spowart, Emma, Stevens, Amy, Thomas, Christopher, Waggett, Helena, Yassaee, Arrash, Kennedy, Anthony, Scott, Sara, Somanath, Sameer, Berg, Andrew, Hernandez, Miguel, Nanda, Rajesh, Tank, Ghanshyambhai, Wilson, Natalie, 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Boulton, K., Gray, S., Hay, D., Mills, S., Montgomery, J., Riddell, R., Simpson, J., Bhardwaj, N., Paul, E., Uwubamwen, N., Alexander, M., Arrich, J., Arumugam, S., Blackwood, D., Boggiano, V., Lam Chan, Y., Chatterjee, D., Chhabra, A., Christian, R., Costelloe, H., Coxwell Matthewman, M., Dalton, E., Darko, J., Davari, M., Dave, T., Deacon, M., Deepak, S., Edmond, H., Ellis, J., El-Sayed, A., Eneje, P., English, R., Ewe, R., Foers, W., Franklin, J., Gallego, L., Garrett, E., Goldberg, O., Goss, H., Greaves, R., Harris, R., Hennings, C., Jones, E., Kamali, N., Kokkinos, N., Lewis, C., Lignos, L., Malgapo, E.V., Malik, R., Milne, A., Mulligan, J.P., Nicklin, P., Palipane, N., Parsons, T., Piper, R., Prakash, R., Ramesh, B., Rasip, S., Reading, J., Rela, M., Reyes, A., Robert, S., Rooms, M., Shah, K., Simons, H., Solanki, S., Spowart, E., Stevens, A., Waggett, H., Yassaee, A., Kennedy, A., Scott, S., Somanath, S., Berg, A., Hernandez, M., Nanda, R., Tank, G., Wilson, N., Wilson, D., Al-Soudaine, Y., Baldwin, M., Cornish, J., Davies, Z., Davies, L., Edwards, M., Frewer, N., Gallard, S., Glasbey, J., Harries, R., Hopkins, L., Kim, T., Koompirochana, V., Lawson, S., Lewis, M., Makzal, Z., Scourfield, S., Ahmad, Y., Bates, S., Blackwell, C., Bryant, H., Coulter, S., Cruickshank, R., Daniel, S., Daubeny, T., Golder, K., Hawkins, L., Helen, B., Hinxman, H., Levett, D., Skinner, B., Walsgrove, J., Dickson, J., Constantin, K., Karen, M., O'Brien, P., O'Donohoe, L., Payne, H., Sundayi, S., Walker, E., Brooke, J., Cardy, J., Humphreys, S., Kessack, L., Kubitzek, C., Kumar, S., Cotterill, D., Hodzovic, E., Hosdurga, G., Miles, E., Saunders, G., Campbell, M., Chan, P., Jemmett, K., Raj, A., Naik, A., Ramamoorthy, R., Shah, N., Sylvan, A., Blyth, K., Burtenshaw, A., Freeman, D., Johnson, E., Lo, P., Martin, T., Plunkett, E., Wollaston, J., Allison, J., Carroll, C., Craw, N., Craw, S., Pitt-Kerby, T., Rowland-Axe, R., Spurdle, K., McDonald, A., Simon, D., Sinha, V., Banner-Goodspeed, V., Boone, M., Campbell, K., Lu, F., Scannell, J., Sobol, J., Balajonda, N., Clemmons, K., Conde, C., Funk, B., Hopkins, T., Olaleye, O., Omer, O., Pender, M., Porto, A., Waweru, P., Yeh, E., Bodansky, D., Evans, A., Kleopoulos, S., Maril, R., Mathney, E., Sanchez, A., Tinuoye, E., Bateman, B., Eng, K., Jiang, N., Ladha, K., Needleman, J., Chen, L.L., Lane, R., Robinowitz, D., Ghushe, N., Irshad, M., Patel, S., Takemoto, S., Wallace, A., Mazzeffi, M., Rock, P., Wallace, K., Zhu, X., Chua, P., Mattera, M., Sharar, R., Thilen, S., Treggiari, M., Morgan, A., Sofjan, I., Subramaniam, K., Avidan, M., Maybrier, H., Muench, M., and Wildes, T.
Subjects: Male, HSJ UCI, Critical Care and Intensive Care Medicine, law.invention, Perioperative Care/methods, 0302 clinical medicine, Surgical procedures, 030202 anesthesiology, law, Critical care/utilisation, Postoperative care/methods, Postoperative care/statistics and numerical data, Surgical procedures, operative/mortality, statistics and numerical data, Prospective Studies, Postoperative Period, Postoperative care/methods, education.field_of_study, Postoperative care/method, Elective Surgical Procedures/mortality, fluid output, Middle Aged, fluid administration, Intensive care unit, Hospitalization, Length of Stay/statistics & numerical data, operative/mortality, Intensive Care Units/statistics & numerical data, outcome, Female, Elective Surgical Procedure, Human, Adult, medicine.medical_specialty, Logistic Model, Postoperative care/statistics and numerical data, Critical care/utilisation, Population, Intensive Care Unit, Elective Surgical Procedures/statistics & numerical data, Hospitalization/statistics & numerical data, Humans, Logistic Models, Surgical procedures, operative/mortality, Postoperative care, methods, Perioperative Care, NO, 03 medical and health sciences, Anesthesiology, Intensive care, medicine, Elective surgery, Intensive care medicine, education, business.industry, 030208 emergency & critical care medicine, Perioperative, Length of Stay, Clinical trial, Prospective Studie, septic shock, business
Abstract: PURPOSE: As global initiatives increase patient access to surgical treatments, there is a need to define optimal levels of perioperative care. Our aim was to describe the relationship between the provision and use of critical care resources and postoperative mortality. METHODS: Planned analysis of data collected during an international 7-day cohort study of adults undergoing elective in-patient surgery. We used risk-adjusted mixed-effects logistic regression models to evaluate the association between admission to critical care immediately after surgery and in-hospital mortality. We evaluated hospital-level associations between mortality and critical care admission immediately after surgery, critical care admission to treat life-threatening complications, and hospital provision of critical care beds. We evaluated the effect of national income using interaction tests. RESULTS: 44,814 patients from 474 hospitals in 27 countries were available for analysis. Death was more frequent amongst patients admitted directly to critical care after surgery (critical care: 103/4317 patients [2%], standard ward: 99/39,566 patients [0.3%]; adjusted OR 3.01 [2.10-5.21]; p < 0.001). This association may differ with national income (high income countries OR 2.50 vs. low and middle income countries OR 4.68; p = 0.07). At hospital level, there was no association between mortality and critical care admission directly after surgery (p = 0.26), critical care admission to treat complications (p = 0.33), or provision of critical care beds (p = 0.70). Findings of the hospital-level analyses were not affected by national income status. A sensitivity analysis including only high-risk patients yielded similar findings. CONCLUSIONS: We did not identify any survival benefit from critical care admission following surgery. info:eu-repo/semantics/publishedVersion
Published: 2017

8. Risk factors and between-hospital variation of caesarean section in Denmark:a cohort study

Author: Wehberg, Sonja, Guldberg, Rikke, Gradel, Kim Oren, Kesmodel, Ulrik Schiøler, Munk, Lis, Andersson, Charlotte Brix, Jølving, Line Riis, Nielsen, Jan, Nørgård, Bente Mertz, Wehberg, Sonja, Guldberg, Rikke, Gradel, Kim Oren, Kesmodel, Ulrik Schiøler, Munk, Lis, Andersson, Charlotte Brix, Jølving, Line Riis, Nielsen, Jan, and Nørgård, Bente Mertz
Abstract: OBJECTIVES: The aim of this study was to estimate the effects of risk factors on elective and emergency caesarean section (CS) and to estimate the between-hospital variation of risk-adjusted CS proportions.DESIGN: Historical registry-based cohort study.SETTINGS AND PARTICIPANTS: The study was based on all singleton deliveries in hospital units in Denmark from January 2009 to December 2012. A total of 226 612 births by 198 590 mothers in 29 maternity units were included.PRIMARY AND SECONDARY OUTCOME MEASURES: We estimated (1) OR of elective and emergency CS adjusted for several risk factors, for example, body mass index, parity, age and size of maternity unit and (2) risk-adjusted proportions of elective and emergency CS to evaluate between-hospital variation.RESULTS: The CS proportion was stable at 20%-21%, but showed wide variation between units, even in adjusted models. Large units performed significantly more elective CSs than smaller units, and the risk of emergency CS was significantly reduced compared with smaller units. Many of the included risk factors were found to influence the risk of CS. The most important risk factors were breech presentation and previous CS. Four units performed more CSs and one unit fewer CSs than expected.CONCLUSION: The main risk factors for elective CS were breech presentation and previous CS; for emergency CS they were breech presentation and cephalopelvic disproportion. The proportions of CS were stable during the study period. We found variation in risk-adjusted CS between hospitals in Denmark. Although exhaustive models were applied, the results indicated the presence of systematic variation between hospital units, which was unexpected in a small, well-regulated country such as Denmark.
Published: 2018

9. Laparotomy in women with severe acute maternal morbidity : secondary analysis of a nationwide cohort study

Author: Tom Witteveen, Jos van Roosmalen, Joost J. Zwart, Thomas van den Akker, Kitty W. M. Bloemenkamp, Athanasios F. Kallianidis, and Athena Institute
Subjects: Emergencies/epidemiology, medicine.medical_treatment, 0302 clinical medicine, Pregnancy, Laparotomy, Severe acute maternal morbidity, Laparotomy/methods, Childbirth, 030212 general & internal medicine, Non-U.S. Gov't, reproductive and urinary physiology, Netherlands, education.field_of_study, 030219 obstetrics & reproductive medicine, Obstetrics, Incidence (epidemiology), Incidence, Research Support, Non-U.S. Gov't, Obstetrics and Gynecology, Elective Surgical Procedures, Cesarean Section/methods, Cohort studies, Gestation, Female, Research Article, Cohort study, Postnatal Care, Maternal mortality, Adult, medicine.medical_specialty, Population, Postnatal Care/methods, Netherlands/epidemiology, Research Support, lcsh:Gynecology and obstetrics, Risk Assessment, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Natural Childbirth/methods, medicine, Journal Article, Humans, Natural Childbirth, education, Elective Surgical Procedures/statistics & numerical data, lcsh:RG1-991, Cesarean Section, business.industry, medicine.disease, High-risk pregnancy, Relative risk, Case-Control Studies, Obstetric surgical procedures, Emergencies, Cesarean section, business
Abstract: Background: Although pregnancy-related laparotomy is a major intervention, literature is limited to small case-control or single center studies. We aimed to identify national incidence rates for postpartum laparotomy related to severe acute maternal morbidity (SAMM) in a high-income country and test the hypothesis that risk of postpartum laparotomy differs by mode of birth. Methods: In a population-based cohort study in all 98 hospitals with a maternity unit in the Netherlands, pregnant women with SAMM according to specified disease and management criteria were included from 01/08/2004 to 01/08/2006. We calculated the incidence of postpartum laparotomy after vaginal and cesarean births. Laparotomies were analyzed in relation to mode of birth using all births in the country as reference. Relative risks (RR) were calculated for laparotomy following emergency and planned cesarean section compared to vaginal birth, excluding laparotomies following births before 24 weeks' gestation and hysterectomies performed during cesarean section. Results: The incidence of postpartum laparotomy in women with SAMM in the Netherlands was 6.0 per 10,000 births. Incidence was 30.1 and 1.8 per 10,000 following cesarean and vaginal birth respectively. Compared to vaginal birth, RR of laparotomy after cesarean birth was 16.7 (95% confidence interval [95% CI] 12.2-22.6). RR was 21.8 (95% CI 15.8-30.2) for emergency and 10.5 (95% CI 7.1-15.6) for planned cesarean section. Conclusions: Risk of laparotomy, although small, was considerably elevated in women who gave birth by cesarean section. This should be considered in counseling and clinical decision making.
Published: 2018

10. Risk factors and between-hospital variation of caesarean section in Denmark:a cohort study

Author: Sonja Wehberg, Bente Mertz Nørgård, Line Riis Jølving, Charlotte Brix Andersson, Kim Oren Gradel, Lis Munk, Ulrik Schiøler Kesmodel, Rikke Guldberg, and Jan Nielsen
Subjects: Multivariate analysis, Emergencies/epidemiology, Breech Presentation/epidemiology, medicine.medical_treatment, Denmark, Cohort Studies, 0302 clinical medicine, Breech presentation, Pregnancy, Risk Factors, Epidemiology, Obstetrics and Gynaecology, Medicine, 030212 general & internal medicine, Registries, 030219 obstetrics & reproductive medicine, obstetrics, Obstetrics, Cesarean Section/statistics & numerical data, General Medicine, Hospitals/statistics & numerical data, Hospitals, Parity, Elective Surgical Procedures, Female, epidemiology, Elective Surgical Procedure, Cohort study, Adult, medicine.medical_specialty, Adolescent, quality in health care, 03 medical and health sciences, Young Adult, Humans, Caesarean section, Elective Surgical Procedures/statistics & numerical data, Breech Presentation, business.industry, Cesarean Section, Cephalopelvic disproportion, Research, medicine.disease, Denmark/epidemiology, Logistic Models, Multivariate Analysis, Emergencies, business, Body mass index
Abstract: ObjectivesThe aim of this study was to estimate the effects of risk factors on elective and emergency caesarean section (CS) and to estimate the between-hospital variation of risk-adjusted CS proportions.DesignHistorical registry-based cohort study.Settings and participantsThe study was based on all singleton deliveries in hospital units in Denmark from January 2009 to December 2012. A total of 226 612 births by 198 590 mothers in 29 maternity units were included.Primary and secondary outcome measuresWe estimated (1) OR of elective and emergency CS adjusted for several risk factors, for example, body mass index, parity, age and size of maternity unit and (2) risk-adjusted proportions of elective and emergency CS to evaluate between-hospital variation.ResultsThe CS proportion was stable at 20%–21%, but showed wide variation between units, even in adjusted models. Large units performed significantly more elective CSs than smaller units, and the risk of emergency CS was significantly reduced compared with smaller units. Many of the included risk factors were found to influence the risk of CS. The most important risk factors were breech presentation and previous CS. Four units performed more CSs and one unit fewer CSs than expected.ConclusionThe main risk factors for elective CS were breech presentation and previous CS; for emergency CS they were breech presentation and cephalopelvic disproportion. The proportions of CS were stable during the study period. We found variation in risk-adjusted CS between hospitals in Denmark. Although exhaustive models were applied, the results indicated the presence of systematic variation between hospital units, which was unexpected in a small, well-regulated country such as Denmark.
Published: 2018

11. Maternal outcomes at 3months after planned caesarean section versus planned vaginal birth for twin pregnancies in the Twin Birth Study: a randomised controlled trial

Author: Jodie Dodd, Iracema Calderon, Jose Guilherme Cecatti, Johanna Sanchez, Leanne Bricker, K.S. Joseph, Eileen Hutton, CARLOTA RODO, Danielly Santana, Corine Verhoeven, Elena Carreras, Annemarie Lawrence, Kim Hinshaw, Monika Laubach, Fernanda Surita, Jim Thornton, Midwifery Science, Obstetrie & Gynaecologie, MUMC+: MA Medische Staf Obstetrie Gynaecologie (9), RS: GROW - Developmental Biology, RS: GROW - R4 - Reproductive and Perinatal Medicine, and Obstetrics
Subjects: Male, Postpartum depression, Breast Feeding/psychology, medicine.medical_treatment, Breastfeeding, Urinary incontinence, 0302 clinical medicine, Pregnancy, Urinary Incontinence/epidemiology, Medicine, Prospective Studies, 030212 general & internal medicine, Maternal Behavior, Fatigue, Delivery, Obstetric/psychology, education.field_of_study, 030219 obstetrics & reproductive medicine, Maternal Behavior/psychology, Obstetrics, maternal outcomes, Postpartum Period, Pregnancy Outcome, Obstetrics and Gynecology, twin pregnancy, Fatigue/epidemiology, Mother-Child Relations, 3. Good health, Breast Feeding, Elective Surgical Procedures, Patient Satisfaction, postpartum depression, Female, Cesarean Section/psychology, medicine.symptom, Adult, medicine.medical_specialty, Sexual Behavior, Population, Puerperal Disorders/epidemiology, Depression, Postpartum, 03 medical and health sciences, incontinence, Humans, Caesarean section, Elective Surgical Procedures/statistics & numerical data, education, Depression, Postpartum/epidemiology, Cesarean Section, business.industry, Infant, Newborn, Puerperal Disorders, Delivery, Obstetric, medicine.disease, Urinary Incontinence, Edinburgh Postnatal Depression Scale, Sexual Behavior/psychology, Pregnancy, Twin, business, Breast feeding, Postpartum period, Follow-Up Studies
Abstract: To compare outcomes at 3 months post partum for women randomised to give birth by planned caesarean section (CS) or by planned vaginal birth (VB) in the Twin Birth Study (TBS).We invited women in the TBS to complete a 3-month follow-up questionnaire.Two thousand and eight hundred and four women from 25 countries.Two thousand and five hundred and seventy women (92% response rate).Women randomised between 13 December 2003 and 4 April 2011 in the TBS completed a questionnaire and outcomes were compared using an intention-to-treat approach.Breastfeeding, quality of life, depression, fatigue and urinary incontinence.We found no clinically important differences between groups in any outcome. In the planned CS versus planned VB groups, breastfeeding at any time after birth was reported by 84.4% versus 86.4% (P = 0.13); the mean physical and mental Short Form (36) Health Survey (SF-36) quality of life scores were 51.8 versus 51.6 (P = 0.65) and 46.7 versus 46.0 (P = 0.09), respectively; the mean Multidimensional Assessment of Fatigue score was 20.3 versus 20.8 (P = 0.14); the frequency of probable depression on the Edinburgh Postnatal Depression Scale was 14.0% versus 14.8% (P = 0.57); the rate of problematic urinary incontinence was 5.5% versus 6.4% (P = 0.31); and the mean Incontinence Impact Questionnaire-7 score was 20.5 versus 20.4 (P = 0.99). Partner relationships, including painful intercourse, were similar between the groups.For women with twin pregnancies randomised to planned CS compared with planned VB, outcomes at 3 months post partum did not differ. The mode of birth was not associated with problematic urinary incontinence or urinary incontinence that affected the quality of life. Contrary to previous studies, breastfeeding at 3 months was not increased with planned VB.Planned mode of birth for twins doesn't affect maternal depression, wellbeing, incontinence or breastfeeding.? 2015 The Authors. BJOG An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd on behalf of Royal College of Obstetricians and Gynaecologists.
Published: 2015

12. Primary ventral or groin hernia in pregnancy:a cohort study of 20,714 women

Author: Oma, E, Bay-Nielsen, M, Jensen, K K, Jorgensen, L N, Pinborg, A, Bisgaard, T, Oma, E, Bay-Nielsen, M, Jensen, K K, Jorgensen, L N, Pinborg, A, and Bisgaard, T
Abstract: BACKGROUND: Prevalence, management, and risk of emergency operation for primary ventral or groin hernia in pregnancy are unknown. The objective of this study was to estimate the prevalences of primary ventral or groin hernia in pregnancy and the potential risks for elective and emergency repair.METHODS: This single-institutional retrospective study included all pregnant women attending one or more prenatal consultations at Hvidovre Hospital, Denmark, during a 3-year period. Patients' medical records were electronically retrieved. A free-text search algorithm and subsequent manual review was conducted to identify patients registered with a primary ventral or groin hernia in pregnancy. Follow-up was conducted by review of medical record notes within the Capital Region of Denmark supplemented with structured telephone interviews on indication.RESULTS: In total, 20,714 pregnant women were included in the study cohort. Seventeen (0.08%) and 25 (0.12%) women were registered with a primary ventral and groin hernia, respectively. None underwent elective or emergency repair in pregnancy, and all had uncomplicated childbirth. In 10 women, the groin bulge disappeared spontaneously after delivery. During postpartum follow-up of median 4.4 years (range 0.2-6.0 years), five (0.02%) and four (0.02%) underwent elective primary ventral and groin hernia repair, respectively.CONCLUSION: Primary ventral or groin hernia seems rare in pregnancy, and the incidence of emergency repair is extremely low. Watchful waiting strategy is recommended during pregnancy in women suspected for a primary ventral or groin hernia.
Published: 2017

13. Potential avoidability of planned cesarean sections in a French national database

Author: Sophie Alexander, Béatrice Blondel, Camille Le Ray, Bénédicte Coulm, and Michel Boulvain
Subjects: Adult, Pediatrics, medicine.medical_specialty, Databases, Factual, Pregnancy, medicine, Humans, Breech Presentation, Elective Surgical Procedures/statistics & numerical data, ddc:618, Cesarean Section, business.industry, Obstetrics and Gynecology, Cesarean Section/statistics & numerical data, General Medicine, medicine.disease, Cross-Sectional Studies, Elective Surgical Procedures, Obstetric history, Female, National database, France, Medical emergency, business, Maternal Age
Abstract: To study the frequency and determinants of potentially avoidable planned cesarean sections, with a classification based on their indications, maternal obstetric history, and information about the current pregnancy.Cross-sectional population-based study.All maternity units in France (n = 535).A total of 14,681 women from the 2010 French National Perinatal Survey, a routine survey of a representative sample of births.Planned cesareans were classified in two groups: potentially avoidable and unavoidable. The classification was based on the French national guidelines and used data from medical records. We used logistic regression analyses to compare characteristics of the mothers with potentially avoidable cesareans with those of women who had a trial of labor. Analyses were performed separately in primiparas and multiparas.Rate of potentially avoidable planned cesarean sections.The overall planned cesarean rate was 10.9%; 28% of these cesareans were found to be potentially avoidable. Breech presentation and history of one previous cesarean accounted for 83% of them. Determinants of potential avoidability were maternal age35 years, intensive surveillance during pregnancy, and private status of the unit [adjusted odds ratio (OR) 1.9, 95% CI 1.2-3.2 among primiparas; adjusted OR 2.5, 95% CI 1.5-4.3 among multiparas]. Obesity was also a significant determinant but only among multiparas (adjusted OR 2.7, 95% CI 1.9-3.8). No association was found with maternal social characteristics.Our results suggest a high proportion of potentially avoidable cesareans and highlight the associated obstetric situations. They can help to target policies aimed at reducing cesarean rates.
Published: 2014

14. [Cancellations of Elective Surgeries on the Day of the Operation in a Portuguese Hospital: One Year Overview].

Author: Ferreira J and Boto P
Subjects: Aged, Aged, 80 and over, Efficiency, Organizational, Female, Hospital Administration, Hospitals, Humans, Middle Aged, Portugal, Retrospective Studies, Utilization Review, Appointments and Schedules, Elective Surgical Procedures statistics & numerical data, Operating Rooms organization & administration
Abstract: Introduction: Cancellations of elective operations on the day of the surgery reflect the efficiency and quality within organisations, and have a significant clinical, social and economic impact, not only for the patient and their families, but also for healthcare institutions. This study assesses the extent of these cancellations in one public Portuguese hospital, through case quantification and identification of the causes, origin, as well as its predictability according to the sociodemographic variables of the patient and interventions used to decrease it., Material and Methods: Non-experimental descriptive quantitative methodology - longitudinal and retrospective - of operation cancellation cases on the day of the surgery, from the 1st of January to the 31st of December 2018., Results: The rate of cancellations of elective surgeries on the same day of the operation was 2.9% with variations among different surgical specialties; cancelled operations are more frequent in female patients, in patients aged between 50 and 80 years old, physical status classified as II or III according to the American Society of Anesthesiology, and without anaesthetic pre assessment or preoperative consultations; the three most relevant causes for cancellations are: lack of operative time, scarcity of beds and/or medical equipment, and changes in health status; most of which can be avoided and are the responsibility of the institution., Discussion: Different reasons for cancellation of elective operations reflect a variety of upstream and downstream processes causing cancellation of surgeries and whose origin/imputability is related to both the institution and patients., Conclusion: The rate of cancellations of elective surgeries on the same day of the operation is relatively low, but the causes are often preventable, thus justifying the generalization of cancellation reduction strategies.
Published: 2021
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14 results on '"Elective Surgical Procedures/statistics & numerical data"'

1. Risk factors for excessive gestational weight gain in a UK population: a biopsychosocial model approach

2. Cancellations of Elective Surgeries on the Day of the Operation in a Portuguese Hospital: One Year Overview

3. Cancellations of elective surgeries on the day of the operation in a Portuguese hospitalone year overview

4. Emergency Abdominal Laparoscopic Surgery During the Coronavirus Disease 2019 Pandemic: Experience in a Private Center in Peru

5. Elective surgery cancellations due to the COVID-19 pandemic:global predictive modelling to inform surgical recovery plans

6. Elective surgery cancellations due to the COVID-19 pandemic:global predictive modelling to inform surgical recovery plans

7. Critical care admission following elective surgery was not associated with survival benefit

8. Risk factors and between-hospital variation of caesarean section in Denmark:a cohort study

9. Laparotomy in women with severe acute maternal morbidity : secondary analysis of a nationwide cohort study

10. Risk factors and between-hospital variation of caesarean section in Denmark:a cohort study

11. Maternal outcomes at 3months after planned caesarean section versus planned vaginal birth for twin pregnancies in the Twin Birth Study: a randomised controlled trial

12. Primary ventral or groin hernia in pregnancy:a cohort study of 20,714 women

13. Potential avoidability of planned cesarean sections in a French national database

14. [Cancellations of Elective Surgeries on the Day of the Operation in a Portuguese Hospital: One Year Overview].

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