1,865 results on '"Wimo, A"'
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2. On the 2024 Alzheimer’s Association Criteria: Still Not Ready for Clinical Use
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Zhou, Robin Ziyue, Wimo, A., and Winblad, B.
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- 2024
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3. Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care
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Abbadi, Ahmad, Kokoroskos, Emmanouil, Stamets, Matthew, Vetrano, Davide L., Orsini, Nicola, Elmståhl, Sölve, Fagerström, Cecilia, Wimo, Anders, Sköldunger, Anders, Berglund, Johan Sanmartin, Olsson, Christina B., Wachtler, Caroline, Fratiglioni, Laura, and Calderón-Larrañaga, Amaia
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- 2024
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4. Integrating a multimodal lifestyle intervention with medical food in prodromal Alzheimer’s disease: the MIND-ADmini randomized controlled trial
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Thunborg, Charlotta, Wang, Rui, Rosenberg, Anna, Sindi, Shireen, Andersen, Pia, Andrieu, Sandrine, Broersen, Laus M., Coley, Nicola, Couderc, Celine, Duval, Celine Z., Faxen-Irving, Gerd, Hagman, Göran, Hallikainen, Merja, Håkansson, Krister, Kekkonen, Eija, Lehtisalo, Jenni, Levak, Nicholas, Mangialasche, Francesca, Pantel, Johannes, Rydström, Anders, Stigsdotter-Neely, Anna, Wimo, Anders, Ngandu, Tiia, Soininen, Hilkka, Hartmann, Tobias, Solomon, Alina, and Kivipelto, Miia
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- 2024
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5. Validation of the Health Assessment Tool (HAT) based on four aging cohorts from the Swedish National study on Aging and Care
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Ahmad Abbadi, Emmanouil Kokoroskos, Matthew Stamets, Davide L. Vetrano, Nicola Orsini, Sölve Elmståhl, Cecilia Fagerström, Anders Wimo, Anders Sköldunger, Johan Sanmartin Berglund, Christina B. Olsson, Caroline Wachtler, Laura Fratiglioni, and Amaia Calderón-Larrañaga
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Geriatric health assessment ,Frailty ,Aging cohorts ,External validation ,Medicine - Abstract
Abstract Background As global aging accelerates, routinely assessing the functional status and morbidity burden of older patients becomes paramount. The aim of this study is to assess the validity of the comprehensive clinical and functional Health Assessment Tool (HAT) based on four cohorts of older adults (60 + years) from the Swedish National study on Aging and Care (SNAC) spanning urban, suburban, and rural areas. Methods The HAT integrates five health indicators (gait speed, global cognition, number of chronic diseases, and basic and instrumental activities of daily living), providing an individual-level score between 0 and 10. The tool was constructed using nominal response models, first separately for each cohort and then in a harmonized dataset. Outcomes included all-cause mortality over a maximum follow-up of 16 years and unplanned hospital admissions over a maximum of 3 years of follow-up. The predictive capacity was assessed through the area under the curve (AUC) using logistic regressions. For time to death, Cox regressions were performed, and Harrell’s C-indices were reported. Results from the four cohorts were pooled using individual participant data meta-analysis and compared with those from the harmonized dataset. Results The HAT demonstrated high predictive capacity across all cohorts as well as in the harmonized dataset. In the harmonized dataset, the AUC was 0.84 (95% CI 0.81–0.87) for 1-year mortality, 0.81 (95% CI 0.80–0.83) for 3-year mortality, 0.80 (95% CI 0.79–0.82) for 5-year mortality, 0.69 (95% CI 0.67–0.70) for 1-year unplanned admissions, and 0.69 (95% CI 0.68–0.70) for 3-year unplanned admissions. The Harrell’s C for time-to-death throughout 16 years of follow-up was 0.75 (95% CI 0.74–0.75). Conclusions The HAT is a highly predictive, clinically intuitive, and externally valid instrument with potential for better addressing older adults’ health needs and optimizing risk stratification at the population level.
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- 2024
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6. Integrating a multimodal lifestyle intervention with medical food in prodromal Alzheimer’s disease: the MIND-ADmini randomized controlled trial
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Charlotta Thunborg, Rui Wang, Anna Rosenberg, Shireen Sindi, Pia Andersen, Sandrine Andrieu, Laus M. Broersen, Nicola Coley, Celine Couderc, Celine Z. Duval, Gerd Faxen-Irving, Göran Hagman, Merja Hallikainen, Krister Håkansson, Eija Kekkonen, Jenni Lehtisalo, Nicholas Levak, Francesca Mangialasche, Johannes Pantel, Anders Rydström, Anna Stigsdotter-Neely, Anders Wimo, Tiia Ngandu, Hilkka Soininen, Tobias Hartmann, Alina Solomon, and Miia Kivipelto
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Alzheimer’s disease ,Lifestyle intervention ,Multimodal intervention ,Adherence ,Medical food ,Prevention ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) showed cognitive benefits from a multidomain lifestyle intervention in at-risk older people. The LipiDiDiet trial highlighted benefits of medical food in prodromal Alzheimer’s disease (AD). However, the feasibility and impact of multimodal interventions combining lifestyle with medical food in prodromal AD is unclear. Methods MIND-ADmini was a 6-month multinational (Sweden, Finland, Germany, France) proof-of-concept randomized controlled trial (RCT). Participants were 60–85 years old, had prodromal AD (International Working Group-1 criteria), and vascular/lifestyle risk factors. The parallel-group RCT had three arms: multimodal lifestyle intervention (nutritional guidance, exercise, cognitive training, vascular/metabolic risk management and social stimulation); multimodal lifestyle intervention + medical food (Fortasyn Connect); and regular health advice/care (control). Participants were randomized 1:1:1 (computer-generated allocation at each site). Outcome evaluators were blinded to randomization. Primary outcome was feasibility of the multimodal intervention, evaluated by recruitment rate during a 6-month recruitment phase, overall adherence in each intervention arm, and 6-month retention rate. Successful adherence was pre-specified as attending ≥ 40% of sessions/domain in ≥ 2/4 domains (lifestyle intervention), and consuming ≥ 60% of the medical food (lifestyle intervention + medical food). The secondary outcomes included adherence/participation to each intervention component and overall adherence to healthy lifestyle changes, measured using a composite score for healthy lifestyle. Cognitive assessments were included as exploratory outcomes, e.g. Clinical Dementia Rating scale. Results During September 2017-May 2019, 93 individuals were randomized (32 lifestyle intervention, 31 lifestyle + medical food, and 30 control group). Overall recruitment rate was 76.2% (64.8% during the first 6 months). Overall 6-month retention rate was 91.4% (lifestyle intervention 87.5%; lifestyle + medical food 90.3%; control 96.7%). Domain-specific adherence in the lifestyle intervention group was 71.9% to cognitive training, 78.1% exercise, 68.8% nutritional guidance, and 81.3% vascular risk management; and in the lifestyle + medical food group, 90.3% to cognitive training, 87.1% exercise, 80.7% nutritional guidance, 87.1% vascular risk management, and 87.1% medical food. Compared with control, both intervention arms showed healthy diet improvements (βLifestyle×Time = 1.11, P = 0.038; βLifestyle+medical food×Time = 1.43, P = 0.007); the lifestyle + medical food group also showed vascular risk reduction (P = 0.043) and less cognitive-functional decline (P
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- 2024
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7. Estimates of Current Capacity for Diagnosing Alzheimer’s Disease in Sweden and the Need to Expand Specialist Numbers
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Mattke, Soeren, Gustavsson, A., Jacobs, L., Kern, S., Palmqvist, S., Eriksdotter, M., Skoog, I., Winblad, B., Wimo, A., and Jönsson, L.
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- 2024
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8. Amyloid-targeting New Therapies for Alzheimer’s Disease: A Health Economics Perspective
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Jönsson, L. and Wimo, Anders
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- 2023
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9. Health-related quality of life in subjective cognitive decline and mild cognitive impairment: a longitudinal cohort analysis
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Sandar Aye, Vincent Bouteloup, Ashley Tate, Anders Wimo, Ron Handels, Delphine Jean, Bengt Winblad, and Linus Jönsson
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Quality of life ,Health utility ,Subjective cognitive decline ,Mild cognitive impairment ,Alzheimer’s disease ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Health-related quality of life (HR-QoL) is an important outcome for patients and crucial for demonstrating the value of new treatments. Health utility estimates in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) are limited, especially in biomarker-confirmed populations. Besides, little is known about the longitudinal HR-QoL trajectory. This study aims to provide health utility estimates for SCD and MCI and investigate the QoL trajectory along the disease continuum. Methods Longitudinal data from 919 SCD and 1336 MCI patients from the MEMENTO cohort were included. SCD was defined as clinical dementia rating (CDR) = 0, and MCI as CDR = 0.5. HR-QoL was measured using the EQ-5D-3L patient-reported instrument. Linear mixed-effect models (LMM) were used to assess the longitudinal change in HR-QoL and identify predictors of these changes. Results Baseline health utilities were 0.84 ± 0.16 and 0.81 ± 0.18, and visual analogue scale (VAS) were 75.8 ± 14.82 and 70.26 ± 15.77 in SCD and MCI. In amyloid-confirmed cases, health utilities were 0.85 ± 0.14 and 0.86 ± 0.12 in amyloid-negative and amyloid-positive SCD, and 0.83 ± 0.17 and 0.84 ± 0.16 in amyloid-negative and amyloid-positive MCI. LMM revealed an annual decline in health utility of − 0.015 (SE = 0.006) and − 0.09 (SE = 0.04) in moderate and severe dementia (P
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- 2023
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10. Prevention of dementia using mobile phone applications (PRODEMOS): a multinational, randomised, controlled effectiveness–implementation trial
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Witvliet, Patrick, Hoitink, Mart, van de Groep, Bram, Liu, Hongmei, Ge, Siqi, He, Mingyue, Li, Cancan, Jian, Xuening, Jiang, Bin, Sun, Haixin, Ru, Xiaojuan, Sun, Dongling, Lian, Tenghong, Zhang, Weijiao, Zhang, Wenjing, Qi, Jing, Li, Jinghui, Guan, Huiying, Luo, Dongmei, Zhang, Weijia, Yue, Hao, Zheng, Zijing, Zeng, Qiang, Yang, Huangdai, Tang, Yanyan, Tao, Tianqi, Song, Yan, Meng, Xiaosheng, Zhu, Sirui, Jia, Dongmei, Li, Mo, Li, Wenjie, Mu, Haiyan, Jiang, Wenjing, Gao, Wenchao, Hu, Yueqing, Wang, Guohua, Xu, Xizhu, Zhang, Yichun, Li, Dong, Zhang, Xiaoyu, Guo, Xiuhua, Ye, Xiaoyan, Wei, Xi, Moll van Charante, Eric P, Hoevenaar-Blom, Marieke P, Song, Manshu, Andrieu, Sandrine, Barnes, Linda, Birck, Cindy, Brooks, Rachael, Coley, Nicola, Eggink, Esmé, Georges, Jean, Hafdi, Melanie, van Gool, Willem A, Handels, Ron, Hou, Haifeng, Lyu, Jihui, Niu, Yixuan, Song, Libin, Wang, Wenzhi, Wang, Youxin, Wimo, Anders, Yu, Yueyi, Zhang, Jinxia, Zhang, Wei, Brayne, Carol, Wang, Wei, and Richard, Edo
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- 2024
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11. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Ferrari, Alize J, Santomauro, Damian Francesco, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdollahi, Arash, Abdullahi, Auwal, Abegaz, Kedir Hussein, Abeldaño Zuñiga, Roberto Ariel, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Ackerman, Ilana N, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adepoju, Abiola Victor, Adewuyi, Habeeb Omoponle, Afyouni, Shadi, Afzal, Saira, Afzal, Sina, Agodi, Antonella, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Shahzaib, Ahmed, Ali, Ahmed, Luai A, Ahmed, Muktar Beshir, Ajami, Marjan, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Hasan, Syed Mahfuz, Alalalmeh, Samer O, Al-Aly, Ziyad, Albashtawy, Mohammed, Aldridge, Robert W, Alemu, Meseret Desalegn, Alemu, Yihun Mulugeta, Alene, Kefyalew Addis, Al-Gheethi, Adel Ali Saeed, Alharrasi, Maryam, Alhassan, Robert Kaba, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Al-Marwani, Sabah, Almazan, Joseph Uy, Alomari, Mahmoud A, Al-Omari, Basem, Altaany, Zaid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Safwat, Alzoubi, Karem H, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Ansari, Hossein, Antony, Catherine M, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyanwu, Philip Emeka, Arab, Juan Pablo, Arabloo, Jalal, Arafat, Mosab, Araki, Daniel T, Aravkin, Aleksandr Y, Arkew, Mesay, Armocida, Benedetta, Arndt, Michael Benjamin, Arooj, Mahwish, Artamonov, Anton A, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Muhammad, Asika, Marvellous O, Askari, Elaheh, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awotidebe, Adedapo Wasiu, Awuviry-Newton, Kofi, Ayala Quintanilla, Beatriz Paulina, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Babu, Abraham Samuel, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bah, Sulaiman, Bai, Ruhai, Baker, Jennifer L, Bakkannavar, Shankar M, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Bam, Kiran, Banik, Palash Chandra, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Barqawi, Hiba Jawdat, Barrow, Amadou, Barteit, Sandra, Barua, Lingkan, Bashiri Aliabadi, Somaye, Basiru, Afisu, Basu, Sanjay, Basu, Saurav, Bathini, Prapthi Persis, Batra, Kavita, Baune, Bernhard T, Bayileyegn, Nebiyou Simegnew, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bello, Olorunjuwon Omolaja, Beloukas, Apostolos, Bensenor, Isabela M, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Boxe, Christopher, Brady, Oliver J, Bragazzi, Nicola Luigi, Braithwaite, Dejana, Brant, Luisa C, Brauer, Michael, Breitner, Susanne, Brenner, Hermann, Brown, Julie, Brugha, Traolach, Bulamu, Norma B, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Zahid A, Byun, Justin, Caetano dos Santos, Florentino Luciano, Calina, Daniela, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Cao, Chao, Capodici, Angelo, Carr, Sinclair, Carreras, Giulia, Carugno, Andrea, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castañeda-Orjuela, Carlos A, Castelpietra, Giulio, Catapano, Alberico L, Cattaruzza, Maria Sofia, Caye, Arthur, Cegolon, Luca, Cembranel, Francieli, Cenderadewi, Muthia, Cerin, Ester, Chakraborty, Promit Ananyo, Chan, Jeffrey Shi Kai, Chan, Raymond N C, Chandika, Rama Mohan, Chandrasekar, Eeshwar K, Charalampous, Periklis, Chattu, Vijay Kumar, Chatzimavridou-Grigoriadou, Victoria, Chen, Angela W, Chen, An-Tian, Chen, Catherine S, Chen, Haowei, Chen, Nathalie M, Cheng, Esther T W, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Cho, William C S, Choi, Sungchul, Chong, Bryan, Chong, Yuen Yu, Choudhari, Sonali Gajanan, Chowdhury, Rajiv, Christensen, Steffan Wittrup McPhee, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Chung, Eric, Chung, Eunice, Chutiyami, Muhammad, Claassens, Mareli M, Cogen, Rebecca M, Columbus, Alyssa, Conde, Joao, Cortesi, Paolo Angelo, Cousin, Ewerton, Criqui, Michael H, Cruz-Martins, Natália, Dadras, Omid, Dai, Siyu, Dai, Xiaochen, Dai, Zhaoli, Dalaba, Maxwell Ayindenaba, Damiani, Giovanni, Das, Jai K, Das, Saswati, Dashti, Mohsen, Dávila-Cervantes, Claudio Alberto, Davletov, Kairat, De Leo, Diego, Debele, Aklilu Tamire, Debopadhaya, Shayom, DeCleene, Nicole K, Deeba, Farah, Degenhardt, Louisa, Del Bo', Cristian, Delgado-Enciso, Ivan, Demetriades, Andreas K, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Desai, Hardik Dineshbhai, Desai, Rupak, Deuba, Keshab, Dhama, Kuldeep, Dharmaratne, Samath Dhamminda, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Dirac, M Ashworth, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dohare, Sushil, Dominguez, Regina-Mae Villanueva, Dong, Wanyue, Dongarwar, Deepa, D'Oria, Mario, Dorsey, E Ray, Doshmangir, Leila, Dowou, Robert Kokou, Driscoll, Tim Robert, Dsouza, Haneil Larson, Dsouza, Viola, Dube, John, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Eboreime, Ejemai, Ebrahimi, Alireza, Edinur, Hisham Atan, Edvardsson, David, Eikemo, Terje Andreas, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El Sayed, Iman, El Tantawi, Maha, Elbarazi, Iffat, Elemam, Noha Mousaad, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, Elmeligy, Omar Abdelsadek Abdou, ELNahas, Gihan, Elshaer, Mohammed, Elsohaby, Ibrahim, Engelbert Bain, Luchuo, Erkhembayar, Ryenchindorj, Eshrati, Babak, Estep, Kara, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faro, Andre, Farrokhi, Pegah, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Feroze, Abdullah Hamid, Ferreira, Nuno, Ferreira, Paulo H, Fischer, Florian, Flavel, Joanne, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Fukumoto, Takeshi, Furtado, João M, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Galali, Yaseen, Ganbat, Mandukhai, Gandhi, Aravind P, Ganesan, Balasankar, Ganie, Mohd Ashraf, Ganiyani, Mohammad Arfat, Gardner, William M, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gela, Yibeltal Yismaw, Georgescu, Simona Roxana, Getachew Obsa, Abera, Gething, Peter W, Getie, Molla, Ghadiri, Keyghobad, Ghadirian, Fataneh, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghazy, Ramy Mohamed, Gholamrezanezhad, Ali, Ghorbani, Mahsa, Ghotbi, Elena, Gibson, Ruth Margaret, Gill, Tiffany K, Ginindza, Themba G, Girmay, Alem, Glasbey, James C, Göbölös, Laszlo, Godinho, Myron Anthony, Goharinezhad, Salime, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Gona, Philimon N, Gorini, Giuseppe, Goulart, Alessandra C, Grada, Ayman, Grivna, Michal, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Ishita, Gupta, Mohak, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Habibzadeh, Parham, Haddadi, Rasool, Hadi, Najah R, Haep, Nils, Hafezi-Nejad, Nima, Hafiz, Abdul, Hagins, Hailey, Halboub, Esam S, Halimi, Aram, Haller, Sebastian, Halwani, Rabih, Hamilton, Erin B, Hankey, Graeme J, Hannan, Md Abdul, Haque, Md Nuruzzaman, Harapan, Harapan, Haro, Josep Maria, Hartvigsen, Jan, Hasaballah, Ahmed I, Hasan, Ikramul, Hasanian, Mohammad, Hasnain, Md Saquib, Hassan, Amr, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hayat, Khezar, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Golnaz, Helfer, Bartosz, Hemmati, Mehdi, Hendrie, Delia, Henson, Claire A, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsu, Johnathan M, Huang, Junjie, Hugo, Fernando N, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Hwang, Bing-Fang, Iannucci, Vincent C, Ihler, Audrey L, Ikiroma, Adalia I, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iyer, Mahalaxmi, Jaafari, Jalil, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jafarinia, Morteza, Jaggi, Khushleen, Jahankhani, Kasra, Jahanmehr, Nader, Jahrami, Haitham, Jain, Akhil, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jeyakumar, Angeline, Jha, Anil K, Jiang, Heng, Jin, Yinzi, Jonas, Jost B, Joo, Tamas, Joseph, Abel, Joseph, Nitin, Joshua, Charity Ehimwenma, Jozwiak, Jacek Jerzy, Jürisson, Mikk, K, Vaishali, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kalani, Rizwan, Kalankesh, Leila R, Kaliyadan, Feroze, Kalra, Sanjay, Kamenov, Kaloyan, Kamyari, Naser, Kanagasabai, Thanigaivelan, Kandel, Himal, Kanmanthareddy, Arun R, Kanmodi, Kehinde Kazeem, Kantar, Rami S, Karaye, Ibraheem M, Karim, Asima, Karimi, Salah Eddin, Karimi, Yeganeh, Kasraei, Hengameh, Kassel, Molly B, Kauppila, Joonas H, Kawakami, Norito, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Keikavoosi-Arani, Leila, Keller, Cathleen, Kempen, John H, Kerr, Jessica A, Keshtkar, Kamyab, Kesse-Guyot, Emmanuelle, Keykhaei, Mohammad, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Asaad, Khalid, Nauman, Khalilian, Alireza, Khamesipour, Faham, Khan, Asaduzzaman, Khan, Ikramullah, Khan, Maseer, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatami, Fatemeh, Khatatbeh, Moawiah Mohammad, Khater, Amir M, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khorrami, Zahra, Kifle, Zemene Demelash, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M, Kochhar, Sonali, Koh, Hyun Yong, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kulkarni, Vishnutheertha, Kumar, Manasi, Kumar, Nithin, Kumar, Rakesh, Kurmi, Om P, Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Ladan, Muhammad Awwal, Laflamme, Lucie, Lafranconi, Alessandra, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Trang Diep Thanh, Leasher, Janet L, Ledda, Caterina, Lee, Munjae, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Lee, Wei-Chen, Lee, Yo Han, LeGrand, Kate E, Lenzi, Jacopo, Leong, Elvynna, Leung, Janni, Li, Ming-Chieh, Li, Wei, Li, Xiaopan, Li, Yichong, Li, Yongze, Lim, Lee-Ling, Lim, Stephen S, Lindstrom, Megan, Linn, Shai, Liu, Gang, Liu, Runben, Liu, Shiwei, Liu, Wei, Liu, Xiaofeng, Liu, Xuefeng, Llanaj, Erand, Lo, Chun-Han, López-Bueno, Rubén, Loreche, Arianna Maever, Lorenzovici, László, Lozano, Rafael, Lubinda, Jailos, Lucchetti, Giancarlo, Lunevicius, Raimundas, Lusk, Jay B, lv, hengliang, Ma, Zheng Feei, Machairas, Nikolaos, Madureira-Carvalho, Áurea M, Magaña Gómez, Javier A, Maghazachi, Azzam A, Maharjan, Preeti, Mahasha, Phetole Walter, Maheri, Mina, Mahjoub, Soleiman, Mahmoud, Mansour Adam, Mahmoudi, Elham, Majeed, Azeem, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Malta, Deborah Carvalho, Manla, Yosef, Mansour, Ali, Mansouri, Pejman, Mansournia, Mohammad Ali, Mantilla Herrera, Ana M, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Marateb, Hamid Reza, Mardi, Parham, Martinez, Gabriel, Martinez-Piedra, Ramon, Martini, Daniela, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, Marx, Wolfgang, Maryam, Sharmeen, Marzo, Roy Rillera, Mathangasinghe, Yasith, Mathieson, Stephanie, Mathioudakis, Alexander G, Mattumpuram, Jishanth, Maugeri, Andrea, Mayeli, Mahsa, Mazidi, Mohsen, Mazzotti, Antonio, McGrath, John J, 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Ghalibaf, AmirAli, Moradi, Maryam, Moradi, Yousef, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mosser, Jonathan F, Mossialos, Elias, Motappa, Rohith, Mougin, Vincent, Mouodi, Simin, Mrejen, Matías, Msherghi, Ahmed, Mubarik, Sumaira, Mueller, Ulrich Otto, Mulita, Francesk, Munjal, Kavita, Murillo-Zamora, Efrén, Murlimanju, BV, Mustafa, Ghulam, Muthu, Sathish, Muzaffar, Muhammad, Myung, Woojae, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Nair, Sanjeev, Najmuldeen, Hastyar Hama Rashid, Nangia, Vinay, Naqvi, Atta Abbas, Narayana, Aparna Ichalangod, Nargus, Shumaila, Nascimento, Gustavo G, Nashwan, Abdulqadir J, Nasrollahizadeh, Ali, Nasrollahizadeh, Amir, Natto, Zuhair S, Nayak, Biswa Prakash, Nayak, Vinod C, Nduaguba, Sabina Onyinye, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nesbit, Olivia D, Netsere, Henok Biresaw, Ng, Marie, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Nguyen, Dang H, Nguyen, Hien Quang, Niazi, Robina Khan, Nikolouzakis, Taxiarchis Konstantinos, Nikoobar, Ali, Nikoomanesh, Fatemeh, Nikpoor, Amin Reza, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Nomura, Shuhei, Norrving, Bo, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nurrika, Dieta, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Odetokun, Ismail A, O'Donnell, Martin James, Oguntade, Ayodipupo Sikiru, Oguta, James Odhiambo, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olasupo, Omotola O, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar, Hany A, Omer, Goran Latif, Omonisi, Abidemi E Emmanuel, Onie, Sandersan, Onwujekwe, Obinna E, Ordak, Michal, Orish, Verner N, Ortega-Altamirano, Doris V, Ortiz, Alberto, Ortiz-Brizuela, Edgar, Osman, Wael M S, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, P A, Mahesh Padukudru, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Palicz, Tamás, Palladino, Claudia, Pan, Feng, Pandi-Perumal, Seithikurippu R, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantea Stoian, Anca Mihaela, Pardhan, Shahina, Parikh, Romil R, Pashaei, Ava, Pasovic, Maja, Passera, Roberto, Patel, Jay, Patel, Sangram Kishor, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pedersini, Paolo, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Peprah, Prince, Perdigão, João, Pereira, Maria Odete, Perianayagam, Arokiasamy, Perico, Norberto, Pesudovs, Konrad, Petermann-Rocha, Fanny Emily, Petri, William A, Pham, Hoang Tran, Philip, Anil K, Phillips, Michael R, Pigeolet, Manon, Pigott, David M, Pillay, Julian David, Piracha, Zahra Zahid, Pirouzpanah, Saeed, Plass, Dietrich, Plotnikov, Evgenii, Poddighe, Dimitri, Polinder, Suzanne, Postma, Maarten J, Pourtaheri, Naeimeh, Prada, Sergio I, Pradhan, Pranil Man Singh, Prakash, V, Prasad, Manya, Prates, Elton Junio Sady, Priscilla, Tina, Pritchett, Natalie, Puri, Pooja, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Rabiee Rad, Mehrdad, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Raggi, Alberto, Raghav, Pankaja Raghav, Rahim, Md Jillur, Rahman, Md Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Shayan, Rahmanian, Mohammad, Rahmawaty, Setyaningrum, Rajaa, Sathish, Ramadan, Mahmoud Mohammed, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Rana, Kritika, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rane, Amey, Rao, Chythra R, Rao, Kumuda, Rao, Mithun, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Rawaf, David Laith, Rawaf, Salman, Razo, Christian, Reddy, Murali Mohan Rama Krishna, Redwan, Elrashdy Moustafa Mohamed, Reifels, Lennart, Reiner Jr, Robert C, Remuzzi, Giuseppe, Renzaho, Andre M N, Reshmi, Bhageerathy, Reyes, Luis Felipe, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei Hachesu, Peyman, Rezaeian, Mohsen, Rickard, Jennifer, Rodrigues, Célia Fortuna, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rotimi, Kunle, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Nitai, Roy, Priyanka, Rubagotti, Enrico, S N, Chandan, Saad, Aly M A, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeb, Mohammad Reza, Saeed, Umar, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salem, Marwa Rashad, Salem, Mohammed Z Y, Sallam, Malik, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sanna, Francesca, Santos, Itamar S, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Sarikhani, Yaser, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathyanarayan, Anudeep, Satpathy, Maheswar, Sawhney, Monika, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schumacher, Austin E, Schwebel, David C, Schwendicke, Falk, Sedighi, Mansour, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Sethi, Yashendra, Setoguchi, Soko, Seylani, Allen, Shadid, Jamileh, Shafie, Mahan, Shah, Humaira, Shah, Nilay S, Shah, Pritik A, Shahbandi, Ataollah, Shahid, Samiah, Shahid, Wajeehah, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shakeri, Alireza, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Shannawaz, Mohammed, Sharath, Medha, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Saurab, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shayan, Amir Mehdi, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Shetty, Pavanchand H, Shibuya, Kenji, Shifa, Jemal Ebrahim, Shiferaw, Desalegn, Shiferaw, Wondimeneh Shibabaw, Shigematsu, Mika, Shiri, Rahman, Shitaye, Nebiyu Aniley, Shittu, Aminu, Shivakumar, K M, Shivarov, Velizar, Shokati Eshkiki, Zahra, Shool, Sina, Shrestha, Sunil, Shuval, Kerem, Sibhat, Migbar Mekonnen, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Harmanjit, Singh, Jasvinder A, Singh, Mahendra, Singh, Paramdeep, Skou, Søren T, Sleet, David A, Slepak, Erica Leigh N, Solanki, Ranjan, Soliman, Sameh S M, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Stark, Benjamin A, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Subedi, Narayan Subedi, Subramaniyan, Vetriselvan, Suemoto, Claudia Kimie, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sundström, Johan, Swain, Chandan Kumar, Szarpak, Lukasz, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Teramoto, Masayuki, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Thum, Chern Choong Chern, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Tran, Ngoc-Ha, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tyrovolas, Stefanos, Udoh, Arit, Umair, Muhammad, Umakanthan, Srikanth, Umar, Tungki Pratama, Undurraga, Eduardo A, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Van den Eynde, Jef, Varga, Orsolya, Varma, Ravi Prasad, Vart, Priya, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vongpradith, Avina, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Wassie, Emebet Gashaw, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weldemariam, Abrha Hailay, Wells, Katherine M, Wen, Yi Feng, Whisnant, Joanna L, Whiteford, Harvey A, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wimo, Anders, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wong, Yen Jun, Woolf, Anthony D, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Wulf Hanson, Sarah, Xia, Yanjie, Xiao, Hong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Lalit, Yadollahpour, Ali, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yu, Yong, Yusuf, Hadiza, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Leila, Zaki, Nazar, Zaman, Burhan Abdullah, Zamora, Nelson, Zand, Ramin, Zandieh, Ghazal G Z, Zar, Heather J, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Ning, Zhang, Yunquan, Zhao, Hanqing, Zhong, Chenwen, Zhong, Panliang, Zhou, Juexiao, Zhu, Zhaohua, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoladl, Mohammad, Zumla, Alimuddin, Zyoud, Samer H, Vos, Theo, and Murray, Christopher J L
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- 2024
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12. Health-related quality of life in subjective cognitive decline and mild cognitive impairment: a longitudinal cohort analysis
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Aye, Sandar, Bouteloup, Vincent, Tate, Ashley, Wimo, Anders, Handels, Ron, Jean, Delphine, Winblad, Bengt, and Jönsson, Linus
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- 2023
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13. New International Pharmaco-Economic Collaboration on Alzheimer's Disease (IPECAD) Open-Source Model Framework for the Health Technology Assessment of Early Alzheimer’s Disease Treatment: Development and Use Cases
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Handels, Ron, Herring, William L., Grimm, Sabine, Sköldunger, Anders, Winblad, Bengt, Wimo, Anders, and Jönsson, Linus
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- 2024
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14. The Costs of Dementia in Europe: An Updated Review and Meta-analysis
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Jönsson, Linus, Tate, Ashley, Frisell, Oskar, and Wimo, Anders
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- 2023
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15. Precision medicine in neurodegeneration: the IHI-PROMINENT project
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Ashley Tate, Marc Suárez-Calvet, Mats Ekelund, Sven Eriksson, Maria Eriksdotter, Wiesje M. Van Der Flier, Jean Georges, Miia Kivipelto, Milica G. Kramberger, Peter Lindgren, Juan Domingo Gispert López, Jyrki Lötjönen, Sofie Persson, Sandra Pla, Alina Solomon, Lennart Thurfjell, Anders Wimo, Bengt Winblad, Linus Jönsson, and on behalf of the PROMINENT consortium
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Alzheimer’s disease ,dementia ,precision medicine ,biomarkers ,clinical decision support ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Neurodegenerative diseases are one of the most important contributors to morbidity and mortality in the elderly. In Europe, over 14 million people are currently living with dementia, at a cost of over 400 billion EUR annually. Recent advances in diagnostics and approval for new pharmaceutical treatments for Alzheimer’s disease (AD), the most common etiology of dementia, heralds the beginning of precision medicine in this field. However, their implementation will challenge an already over-burdened healthcare systems. There is a need for innovative digital solutions that can drive the related clinical pathways and optimize and personalize care delivery. Public-private partnerships are ideal vehicles to tackle these challenges. Here we describe the Innovative Health Initiative (IHI) public-private partnership project PROMINENT that has been initiated by connecting leading dementia researchers, medical professionals, dementia patients and their care partners with the latest innovative health technologies using a precision medicine based digital platform. The project builds upon the knowledge and already implemented digital tools from several collaborative initiatives that address new models for early detection, diagnosis, and monitoring of AD and other neurodegenerative disorders. The project aims to provide support to improvement efforts to each aspect of the care pathway including diagnosis, prognosis, treatment, and data collection for real world evidence and cost effectiveness studies. Ultimately the PROMINENT project is expected to lead to cost-effective care and improved health outcomes.
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- 2023
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16. The affordability of lecanemab, an amyloid-targeting therapy for Alzheimer's disease: an EADC-EC viewpoint
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Jönsson, Linus, Wimo, Anders, Handels, Ron, Johansson, Gunilla, Boada, Mercè, Engelborghs, Sebastiaan, Frölich, Lutz, Jessen, Frank, Kehoe, Patrick Gavin, Kramberger, Milica, de Mendonςa, Alexandre, Ousset, Pierre Jean, Scarmeas, Nikolaos, Visser, Pieter Jelle, Waldemar, Gunhild, and Winblad, Bengt
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- 2023
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17. Factors Associated with Health-Related Quality of Life in Older Persons Residing in Nursing Homes
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Boström AM, Cederholm T, Faxén-Irving G, Franzén E, Grönstedt H, Seiger, Vikström S, and Wimo A
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quality of life ,eq5d-5l ,sarcopenia ,physical function ,nutritional status ,Medicine (General) ,R5-920 - Abstract
Anne-Marie Boström,1 Tommy Cederholm,2 Gerd Faxén-Irving,3 Erika Franzén,4 Helena Grönstedt,5 Åke Seiger,3 Sofia Vikström,6 Anders Wimo7 1Division of Nursing, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm and R&D Unit, Stockholms Sjukhem, Stockholm, Sweden; 2Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Division of Clinical Geriatrics, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm and Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden; 3Division of Clinical Geriatrics, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Sweden; 4Division of Physiotherapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Medical Unit Occupational Therapy and Physiotherapy, Theme Women’s Health and Allied Health Professionals, Karolinska University Hospital, Stockholm and Stockholms Sjukhem R&D Unit, Stockholm, Sweden; 5Medical Unit Occupational therapy and Physiotherapy, Women´s Health and Allied Health Professionals Theme, Karolinska University Hospital, Stockholm, Sweden; 6Division of Occupational Therapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Sweden; 7Division of Neurogeriatrics, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, SwedenCorrespondence: Anne-Marie Boström, Division of Nursing, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Alfred Nobels allé 23, Huddinge, Stockholm, S 141 83, Sweden, Tel +468524 839 19, Email anne-marie.bostrom@ki.sePurpose: Health-related quality of life (HRQoL) is an important patient-related outcome for the assessment of interventions and treatments in older people. Understanding underlying mechanisms for HRQoL is crucial for improving care, rehabilitation and symptom relief. This study examined the associations between HRQoL and frailty, sarcopenia, dependence of ADL, physical function and nutritional status in older nursing home (NH) residents.Patients and Methods: This is a cross-sectional study employing baseline data from the Older Person’s Exercise and Nutrition (OPEN) study. Residents ≥ 75 years and able to stand up from seated position, residing in eight nursing homes in Sweden, were recruited. The EuroQoL 5-dimension Questionnaire (EQ-5D-5L, 0– 1) was used to assess HRQoL. For exposure, the FRAIL and SARC-F questionnaires, Bergs Balance Scale, Functional Independence Measure (FIM), and Mini Nutritional Assessment-Short Form (MNA-SF) were used, including chair-stand test, walking speed and some biochemical markers. Descriptive and inferential statistics including linear regression models were applied.Results: Data from 113 residents (59% women, mean age 85 years) revealed a mean EQ-5D index of 0.76. After relevant adjustments, factors associated with low HRQoL were sarcopenia (p< 0.001), cognitive function (p< 0.001), dependence in ADL (p=0.002), low plasma-albumin (p=0.002) and impaired nutritional status (p=0.038).Conclusion: This study displays evidence that modifiable conditions like sarcopenia and malnutrition are related to HRQoL in older NH residents. Such findings indicate a potential for physical exercise, including muscle training, and improved nutritional routines, including protein supplementation, to enhance nursing home care. Future studies, in larger NH populations, on exercise and nutrition for effects on HRQoL are needed.Keywords: quality of life, EQ5D-5L, sarcopenia, physical function, nutritional status
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- 2022
18. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Benjamin A, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Subedi, Narayan Subedi, Subramaniyan, Vetriselvan, Suemoto, Claudia Kimie, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sundström, Johan, Swain, Chandan Kumar, Szarpak, Lukasz, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Teramoto, Masayuki, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Thum, Chern Choong Chern, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Tran, Ngoc-Ha, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tyrovolas, Stefanos, Udoh, Arit, Umair, Muhammad, Umakanthan, Srikanth, Umar, Tungki Pratama, Undurraga, Eduardo A, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Van den Eynde, Jef, Varga, Orsolya, Varma, Ravi Prasad, Vart, Priya, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vongpradith, Avina, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Wassie, Emebet Gashaw, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weldemariam, Abrha Hailay, Wells, Katherine M, Wen, Yi Feng, Whisnant, Joanna L, Whiteford, Harvey A, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wimo, Anders, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wong, Yen Jun, Woolf, Anthony D, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Wulf Hanson, Sarah, Xia, Yanjie, Xiao, Hong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Lalit, Yadollahpour, Ali, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yu, Yong, Yusuf, Hadiza, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Leila, Zaki, Nazar, Zaman, Burhan Abdullah, Zamora, Nelson, Zand, Ramin, Zandieh, Ghazal G Z, Zar, Heather J, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Ning, Zhang, Yunquan, Zhao, Hanqing, Zhong, Chenwen, Zhong, Panliang, Zhou, Juexiao, Zhu, Zhaohua, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoladl, Mohammad, Zumla, Alimuddin, Zyoud, Samer H, Vos, Theo, and Murray, Christopher J L
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- 2024
19. CHAPTER 12 MES 56: Souvenirs from the Past
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Ambala Bayang, Wimo, primary
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- 2022
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20. The affordability of lecanemab, an amyloid-targeting therapy for Alzheimer's disease: an EADC-EC viewpoint
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Linus Jönsson, Anders Wimo, Ron Handels, Gunilla Johansson, Mercè Boada, Sebastiaan Engelborghs, Lutz Frölich, Frank Jessen, Patrick Gavin Kehoe, Milica Kramberger, Alexandre de Mendonςa, Pierre Jean Ousset, Nikolaos Scarmeas, Pieter Jelle Visser, Gunhild Waldemar, and Bengt Winblad
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Passive immunotherapy ,Antibodies against amyloid b-peptide ,Prodromal AD ,Mild AD ,Lecanemab ,Pricing ,Public aspects of medicine ,RA1-1270 - Abstract
Summary: Lecanemab, an anti-amyloid antibody with effects on biomarker and clinical endpoints in early Alzheimer's Disease (AD), was granted accelerated approval by the FDA in 2023 and regulatory review in Europe is ongoing. We estimate the population potentially eligible for treatment with lecanemab in the 27 EU countries to 5.4 million individuals. Treatment costs would exceed 133 billion EUR per year if the drug is priced similarly as in the United States, amounting to over half of the total pharmaceutical expenditures in the EU. This pricing would be unsustainable; the ability to pay for high-priced therapies varies substantially across countries. Pricing similarly to what has been announced for the United States may place the drug out of reach for patients in some European countries. Disparities in access to novel amyloid-targeting agents may further deepen the inequalities across Europe in health outcomes. As representatives of the European Alzheimer's Disease Consortium Executive Committee, we call for pricing policies that allow eligible patients across Europe to access important innovations, but also continued investments in research and development. Infrastructure to follow up the usage of new therapies in routine care and new payment models may be needed to address affordability and inequalities in patient access.
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- 2023
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21. Slovenian Memory Clinic Organization with the Introduction of Potential New Alzheimer’s Disease Treatment
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Zupanic, Eva, primary, Emersic, Andreja, additional, Wimo, Anders, additional, Winblad, Bengt, additional, Speh, Andreja, additional, and Kramberger, Milica Gregoric, additional
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- 2024
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22. MES 56
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Bayang, Wimo Ambala, primary
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- 2022
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23. Changes in dementia diagnoses in Sweden during the COVID-19 pandemic
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Axenhus, Michael, Schedin-Weiss, Sophia, Tjernberg, Lars, Wimo, Anders, Eriksdotter, Maria, Bucht, Gustaf, and Winblad, Bengt
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- 2022
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24. Changes in dementia diagnoses in Sweden during the COVID-19 pandemic
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Michael Axenhus, Sophia Schedin-Weiss, Lars Tjernberg, Anders Wimo, Maria Eriksdotter, Gustaf Bucht, and Bengt Winblad
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Alzheimer’s disease ,COVID-19 ,Dementia ,Diagnosis ,Sweden ,Vascular dementia ,Geriatrics ,RC952-954.6 - Abstract
Abstract Introduction The COVID-19 pandemic has caused large disruptions to healthcare systems. Refocus on COVID-19 related care might have contributed to indirect effects on other healthcare areas. Care focused on acute conditions have been negatively affected although research into the effects on chronic and care intensive patient groups such as patients with dementia diseases is lacking. In this study we evaluated dementia diagnosis trends in Sweden during 2015–2020 according to International Classification of Disease version 10 coding of common dementia diseases. Methods Regional and national statistics in the form of International Classification of Disease version 10 coding, COVID-19 incidence, mortality data, and population census data were collected from the National Institute of Health and Welfare. Logistic regression analysis was performed to identify trends of dementia diagnosis during 2015–2020. Correlation test was performed between COVID-19 incidence, mortality rates, and dementia coding. Results Dementia diagnosis incidence has been declining since 2015 and further decline was noted in many regions in Sweden during 2020. As COVID-19 incidence increased, fewer cases of dementia were diagnosed, a decrease that differentially impacted women and those who were advanced in age. Conclusions Dementia diagnosis incidence in Sweden has been on a decline since 2015. The COVID-19 pandemic caused a further larger decline in dementia diagnosis incidence during 2020. COVID-19 incidence, but not mortality, was associated with decrease in dementia diagnosis incidence. There might be a large number of undiagnosed patients with dementia and healthcare reforms should be enacted to address this. Women and elderly are particularly vulnerable groups.
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- 2022
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25. Cost of diagnosing and treating cognitive complaints: One-year cost-evaluation study in a patient cohort from a Slovenian memory clinic
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Županič Eva, Wimo Anders, Winblad Bengt, and Kramberger Milica Gregorič
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cognitive impairments ,dementia ,costs of illness ,kognitivne motnje ,demenca ,ocena stroškov ,Public aspects of medicine ,RA1-1270 - Abstract
Dementias present a global health challenge and give rise to significant economic costs. This study aims to evaluate the economic impact of one-year outpatient healthcare, nursing home, and formal and informal home help costs for all patients referred to the Centre for Cognitive Impairments at the Department of Neurology, Ljubljana University Medical Centre, Slovenia.
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- 2022
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26. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: An economic modelling exercise
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Pedroza, Paola, Miller-Petrie, Molly K, Chen, Carina, Chakrabarti, Suman, Chapin, Abigail, Hay, Simon, Tsakalos, Golsum, Wimo, Anders, and Dieleman, Joseph L
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- 2022
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27. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Nichols, Emma, Steinmetz, Jaimie D, Vollset, Stein Emil, Fukutaki, Kai, Chalek, Julian, Abd-Allah, Foad, Abdoli, Amir, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Akram, Tayyaba Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alipour, Vahid, Almustanyir, Sami, Amu, Hubert, Ansari, Iman, Arabloo, Jalal, Ashraf, Tahira, Astell-Burt, Thomas, Ayano, Getinet, Ayuso-Mateos, Jose L, Baig, Atif Amin, Barnett, Anthony, Barrow, Amadou, Baune, Bernhard T, Béjot, Yannick, Bezabhe, Woldesellassie M Mequanint, Bezabih, Yihienew Mequanint, Bhagavathula, Akshaya Srikanth, Bhaskar, Sonu, Bhattacharyya, Krittika, Bijani, Ali, Biswas, Atanu, Bolla, Srinivasa Rao, Boloor, Archith, Brayne, Carol, Brenner, Hermann, Burkart, Katrin, Burns, Richard A, Cámera, Luis Alberto, Cao, Chao, Carvalho, Felix, Castro-de-Araujo, Luis F S, Catalá-López, Ferrán, Cerin, Ester, Chavan, Prachi P, Cherbuin, Nicolas, Chu, Dinh-Toi, Costa, Vera Marisa, Couto, Rosa A S, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Cruz-Góngora, Vanessa, Dhamnetiya, Deepak, Dias da Silva, Diana, Diaz, Daniel, Douiri, Abdel, Edvardsson, David, Ekholuenetale, Michael, El Sayed, Iman, El-Jaafary, Shaimaa I, Eskandari, Khalil, Eskandarieh, Sharareh, Esmaeilnejad, Saman, Fares, Jawad, Faro, Andre, Farooque, Umar, Feigin, Valery L, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferrara, Pietro, Filip, Irina, Fillit, Howard, Fischer, Florian, Gaidhane, Shilpa, Galluzzo, Lucia, Ghashghaee, Ahmad, Ghith, Nermin, Gialluisi, Alessandro, Gilani, Syed Amir, Glavan, Ionela-Roxana, Gnedovskaya, Elena V, Golechha, Mahaveer, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vivek Kumar, Haider, Mohammad Rifat, Hall, Brian J, Hamidi, Samer, Hanif, Asif, Hankey, Graeme J, Haque, Shafiul, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, M Tasdik, Hassan, Amr, Hay, Simon I, Hayat, Khezar, Hegazy, Mohamed I, Heidari, Golnaz, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Househ, Mowafa, Hussain, Rabia, Hwang, Bing-Fang, Iacoviello, Licia, Iavicoli, Ivo, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irvani, Seyed Sina Naghibi, Iso, Hiroyasu, Iwagami, Masao, Jabbarinejad, Roxana, Jacob, Louis, Jain, Vardhmaan, Jayapal, Sathish Kumar, Jayawardena, Ranil, Jha, Ravi Prakash, Jonas, Jost B, Joseph, Nitin, Kalani, Rizwan, Kandel, Amit, Kandel, Himal, Karch, André, Kasa, Ayele Semachew, Kassie, Gizat M, Keshavarz, Pedram, Khan, Moien AB, Khatib, Mahalaqua Nazli, Khoja, Tawfik Ahmed Muthafer, Khubchandani, Jagdish, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kivimäki, Mika, Koroshetz, Walter J, Koyanagi, Ai, Kumar, G Anil, Kumar, Manasi, Lak, Hassan Mehmood, Leonardi, Matilde, Li, Bingyu, Lim, Stephen S, Liu, Xuefeng, Liu, Yuewei, Logroscino, Giancarlo, Lorkowski, Stefan, Lucchetti, Giancarlo, Lutzky Saute, Ricardo, Magnani, Francesca Giulia, Malik, Ahmad Azam, Massano, João, Mehndiratta, Man Mohan, Menezes, Ritesh G, Meretoja, Atte, Mohajer, Bahram, Mohamed Ibrahim, Norlinah, Mohammad, Yousef, Mohammed, Arif, Mokdad, Ali H, Mondello, Stefania, Moni, Mohammad Ali Ali, Moniruzzaman, Md, Mossie, Tilahun Belete, Nagel, Gabriele, Naveed, Muhammad, Nayak, Vinod C, Neupane Kandel, Sandhya, Nguyen, Trang Huyen, Oancea, Bogdan, Otstavnov, Nikita, Otstavnov, Stanislav S, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pashazadeh Kan, Fatemeh, Pasovic, Maja, Patel, Urvish K, Pathak, Mona, Peres, Mario F P, Perianayagam, Arokiasamy, Peterson, Carrie B, Phillips, Michael R, Pinheiro, Marina, Piradov, Michael A, Pond, Constance Dimity, Potashman, Michele H, Pottoo, Faheem Hyder, Prada, Sergio I, Radfar, Amir, Raggi, Alberto, Rahim, Fakher, Rahman, Mosiur, Ram, Pradhum, Ranasinghe, Priyanga, Rawaf, David Laith, Rawaf, Salman, Rezaei, Nima, Rezapour, Aziz, Robinson, Stephen R, Romoli, Michele, Roshandel, Gholamreza, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sathian, Brijesh, Sattin, Davide, Sawhney, Monika, Saylan, Mete, Schiavolin, Silvia, Seylani, Allen, Sha, Feng, Shaikh, Masood Ali, Shaji, KS, Shannawaz, Mohammed, Shetty, Jeevan K, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Silva, Diego Augusto Santos, Silva, João Pedro, Silva, Renata, Singh, Jasvinder A, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Smith, Amanda E, Soshnikov, Sergey, Spurlock, Emma Elizabeth, Stein, Dan J, Sun, Jing, Tabarés-Seisdedos, Rafael, Thakur, Bhaskar, Timalsina, Binod, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tsegaye, Gebiyaw Wudie, Valadan Tahbaz, Sahel, Valdez, Pascual R, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vu, Giang Thu, Vu, Linh Gia, Wang, Yuan-Pang, Wimo, Anders, Winkler, Andrea Sylvia, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zadey, Siddhesh, Zastrozhin, Mikhail Sergeevich, Zastrozhina, Anasthasia, Zhang, Zhi-Jiang, Murray, Christopher J L, and Vos, Theo
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- 2022
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28. Multimodal Preventive Trial for Alzheimer’s Disease: MIND-ADmini Pilot Trial Study Design and Progress
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Sindi, S., Thunborg, C., Rosenberg, A., Andersen, P., Andrieu, S., Broersen, L. M., Coley, N., Couderc, C., Duval, C. Z., Faxen-Irving, G., Hagman, G., Hallikainen, M., Håkansson, K., Lehtisalo, J., Levak, N., Mangialasche, F., Pantel, J., Kekkonen, E., Rydström, A., Stigsdotter-Neely, A., Wimo, A., Ngandu, T., Soininen, H., Hartmann, T., Solomon, A., and Kivipelto, Miia
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- 2022
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29. Response and Adherence of Nursing Home Residents to a Nutrition/Exercise Intervention
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Karlsson, Emelie S., Grönstedt, Helena K., Faxén-Irving, Gerd, Franzén, Erika, Luiking, Yvette C., Seiger, Åke, Vikström, Sofia, Wimo, Anders, Cederholm, Tommy E., and Boström, Anne-Marie
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- 2021
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30. A validation study of the ICECAP-O in informal carers of people with dementia from eight European Countries
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Perry-Duxbury, Meg, van Exel, Job, Brouwer, Werner, Sköldunger, Anders, Gonçalves-Pereira, Manuel, Irving, Kate, Meyer, Gabriele, Selbæk, Geir, Woods, Bob, Zanetti, Orazio, Verhey, Frans, Wimo, Anders, and Handels, Ron L.H.
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- 2020
31. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NME, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Asika, MO, Askari, E, Astell-Burt, T, Athari, SS, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awotidebe, AW, Awuviry-Newton, K, Ayala Quintanilla, BP, Ayuso-Mateos, JL, Azadnajafabad, S, Azevedo, RMS, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bah, S, Bai, R, Baker, JL, Bakkannavar, SM, Bako, AT, Balakrishnan, S, Bam, K, Banik, PC, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Barqawi, HJ, Barrow, A, Barteit, S, Barua, L, Bashiri Aliabadi, S, Basiru, A, Basu, S, Bathini, PP, Batra, K, Baune, BT, Bayileyegn, NS, Behnam, B, Behnoush, AH, Beiranvand, M, Bejarano Ramirez, DF, Bell, ML, Bello, OO, Beloukas, A, Bensenor, IM, Berezvai, Z, Bernabe, E, Bernstein, RS, Bettencourt, PJG, Bhagavathula, AS, Bhala, N, Bhandari, D, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bitra, VR, Bjørge, T, Bodolica, V, Bodunrin, AO, Bogale, EK, Bonakdar Hashemi, M, Bonny, A, Bora Basara, B, Borhany, H, Boxe, C, Brady, OJ, Bragazzi, NL, Braithwaite, D, Brant, LC, Brauer, M, Breitner, S, Brenner, H, Brown, J, Brugha, T, Bulamu, NB, Buonsenso, D, Burkart, K, Burns, RA, Busse, R, Bustanji, Y, Butt, ZA, Byun, J, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos-Nonato, IR, Cao, C, Capodici, A, Carr, S, Carreras, G, Carugno, A, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catapano, AL, Cattaruzza, MS, Caye, A, Cegolon, L, Cembranel, F, Cenderadewi, M, Cerin, E, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Charalampous, P, Chattu, VK, Chatzimavridou-Grigoriadou, V, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, NM, Cheng, ETW, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Cho, WCS, Choi, S, Chong, B, Chong, YY, Choudhari, SG, Chowdhury, R, Christensen, SWM, Chu, D-T, Chukwu, IS, Chung, E, Chutiyami, M, Claassens, MM, Cogen, RM, Columbus, A, Conde, J, Cortesi, PA, Cousin, E, Criqui, MH, Cruz-Martins, N, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalaba, MA, Damiani, G, Das, JK, Das, S, Dashti, M, Dávila-Cervantes, CA, Davletov, K, De Leo, D, Debele, AT, Debopadhaya, S, DeCleene, NK, Deeba, F, Degenhardt, L, Del Bo', C, Delgado-Enciso, I, Demetriades, AK, Denova-Gutiérrez, E, Dervenis, N, Desai, HD, Desai, R, Deuba, K, Dhama, K, Dharmaratne, SD, Dhingra, S, Dias da Silva, D, Diaz, D, Diaz, LA, Diaz, MJ, Dima, A, Ding, DD, Dirac, MA, Do, THP, do Prado, CB, Dohare, S, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorsey, ER, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Dube, J, Dumith, SC, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dzianach, PA, Dziedzic, AM, Eboreime, E, Ebrahimi, A, Edinur, HA, Edvardsson, D, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, El Tantawi, M, Elbarazi, I, Elemam, NM, ElGohary, GMT, Elhadi, M, Elmeligy, OAA, ELNahas, G, Elshaer, M, Elsohaby, I, Engelbert Bain, L, Erkhembayar, R, Eshrati, B, Estep, K, Fabin, N, Fagbamigbe, AF, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faro, A, Farrokhi, P, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferreira, N, Ferreira, PH, Fischer, F, Flavel, J, Flood, D, Flor, LS, Foigt, NA, Folayan, MO, Force, LM, Fortuna, D, Foschi, M, Franklin, RC, Freitas, A, Fukumoto, T, Furtado, JM, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Galali, Y, Ganbat, M, Gandhi, AP, Ganesan, B, Ganie, MA, Ganiyani, MA, Gardner, WM, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremariam, TBB, Gebremeskel, TG, Gela, YY, Georgescu, SR, Getachew Obsa, A, Gething, PW, Getie, M, Ghadiri, K, Ghadirian, F, Ghailan, KY, Ghajar, A, Ghasemi, M, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghazy, RM, 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Vaithinathan, AG, Van den Eynde, J, Varga, O, Varma, RP, Vart, P, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Violante, FS, Vlassov, V, Vollset, SE, Volovat, SR, Vongpradith, A, Waheed, Y, Wang, C, Wang, F, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Ward, P, Wassie, EG, Weaver, MR, Weerakoon, KG, Weintraub, RG, Weiss, DJ, Weldemariam, AH, Wells, KM, Wen, YF, Whisnant, JL, Whiteford, HA, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wimo, A, Woldegebreal, DH, Wolf, AW, Wong, YJ, Woolf, AD, Wu, C, Wu, F, Wu, X, Wu, Z, Wulf Hanson, S, Xia, Y, Xiao, H, Xu, X, Xu, YY, Yadav, L, Yadollahpour, A, Yaghoubi, S, Yamagishi, K, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Yazdanpanah, MH, Ye, P, Yehualashet, SS, Yesuf, SA, Yezli, S, Yiğit, A, Yiğit, V, Yigzaw, ZA, Yismaw, Y, Yon, DK, Yonemoto, N, Younis, MZ, Yu, C, Yu, Y, Yusuf, H, Zahid, MH, Zakham, F, Zaki, L, Zaki, N, Zaman, BA, Zamora, N, Zand, R, Zandieh, GGZ, Zar, HJ, Zarrintan, A, Zastrozhin, MS, Zhang, H, Zhang, N, Zhang, Y, Zhao, H, Zhong, C, Zhong, P, Zhou, J, Zhu, Z, Ziafati, M, Zielińska, M, Zimsen, SRM, Zoladl, M, Zumla, A, Zyoud, SH, Vos, T, and Murray, CJL
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- 2024
32. Profiles of Met and Unmet Needs in People with Dementia According to Caregivers’ Perspective: Results from a European Multicenter Study
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Janssen, Niels, Handels, Ron L., Köhler, Sebastian, Gonçalves-Pereira, Manuel, Marques, Maria J., Irving, Kate, Hopper, Louise, Bieber, Anja, Orrell, Martin, Selbæk, Geir, Michelet, Mona, Wimo, Anders, Zanetti, Orazio, Portolani, Daniel M., Woods, Bob, Jelley, Hannah, Evers, Silvia M.A.A., and Verhey, Frans R.J.
- Published
- 2020
- Full Text
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33. Costs of diagnosing early Alzheimer's disease in three European memory clinic settings: Results from the precision medicine in Alzheimer's disease project.
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Wimo, Anders, Kirsebom, Bjørn‐Eivind, Timón‐Reina, Santiago, Vromen, Ellen, Selnes, Per, Bon, Jaka, Emersic, Andreja, Kramberger, Milica Gregoric, Speh, Andreja, Visser, Pieter Jelle, Winblad, Bengt, and Fladby, Tormod
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ALZHEIMER'S disease diagnosis , *CEREBROSPINAL fluid examination , *COST effectiveness , *COGNITIVE testing , *RESEARCH funding , *MAGNETIC resonance imaging , *POSITRON emission tomography , *DESCRIPTIVE statistics , *APOLIPOPROTEINS , *EARLY diagnosis , *INDIVIDUALIZED medicine , *CONFIDENCE intervals , *MEDICAL care costs , *BIOMARKERS - Abstract
Objectives: The implementation of disease‐modifying treatments for Alzheimer's Disease (AD) will require cost‐effective diagnostic processes. As part of The Precision Medicine In AD consortium (PMI‐AD) project, the aim is to analyze the baseline costs of diagnosing early AD at memory clinics in Norway, Slovenia, and the Netherlands. Methods: The costs of cognitive testing and a clinical examination, apolipoprotein E, magnetic resonance imaging (MRI), cerebrospinal fluid (CSF), positron emission tomography and blood‐based biomarkers (BBM), which are used in different combinations in the three countries, were analyzed. Standardized unit costs, adjusted for GDP per capita and based on Swedish conditions were applied. The costs were expressed in euros (€) as of 2019. A diagnostic set comprising clinical examination, cognitive testing, MRI and CSF was defined as the gold standard, with MRI mainly used as an exclusion filter. Results: Cost data were available for 994 persons in Norway, 169 in Slovenia and 1015 in the Netherlands. The mean diagnostic costs were 1478 (95% confidence interval 1433–1523) € in Norway, 851 (731–970) € in Slovenia and 1184 (1135–1232) € in the Netherlands. Norway had the highest unit costs but also the greatest use of tests. With a uniform diagnostic test set applied, the diagnostic costs were 1264 (1238–1291) €, in Norway, 843 (771–914) € in Slovenia and 1184 (1156–1213) € in the Netherlands. There were no major cost differences between the final set of diagnoses. Conclusions: The total costs for setting a diagnosis of AD varied somewhat in the three countries, depending on unit costs and use of tests. These costs are relatively low in comparison to the societal costs of AD. Key points: The introduction of blood‐based biomarkers for detecting Alzheimer's Disease (AD) can change the diagnostic process.Given the expected demands for treatment of cognitive disorders such as AD, the costs and capacity of the diagnostic work‐up are of great importance for care funders and planners.Our study incorporating diagnostic costs from three distinct European regions provides valuable inputs for cost‐effectiveness studies. [ABSTRACT FROM AUTHOR]
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- 2024
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34. Global and regional spending on dementia care from 2000–2019 and expected future health spending scenarios from 2020–2050: An economic modelling exercise
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Paola Pedroza Velandia, Molly K Miller-Petrie, Carina Chen, Suman Chakrabarti, Abigail Chapin, Simon Hay, Golsum Tsakalos, Anders Wimo, and Joseph L Dieleman
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Dementia ,Alzheimer's disease ,Health care spending ,Medicine (General) ,R5-920 - Abstract
Summary: Background: The global burden of dementia is increasing. As diagnosis and treatment rates increase and populations grow and age, additional diagnosed cases will present a challenge to healthcare systems globally. Even modelled estimates of the current and future healthcare spending attributable to dementia are valuable for decision makers and advocates to prepare for growing demand. Methods: We modelled healthcare spending attributable to dementia from 2000 to 2019 and expected estimated future spending from 2020 to 2050 under multiple scenarios. Data were from the Global Burden of Diseases 2019 study and from two systematic literature reviews. We used meta-regression to estimate the fraction of dementia spending that is attributable to dementia for those receiving nursing home-based care and for those receiving community-based care. We used spatiotemporal Gaussian process regression to account for data missingness and model diagnosis and treatment rates, nursing home-based care and community-based care rates, and unit costs for the many countries without their own underlying estimates. Projections of future spending estimate a baseline scenario from 2020 to 2050 based on ongoing growth. Alternative scenarios assessed faster growth rates for dementia diagnosis and treatment rates, nursing home-based care, and healthcare costs. All spending is reported in 2019 United States dollars or 2019 purchasing-power parity-adjusted dollars. Findings: Based on observed and modelled inputs, we estimated that global spending on dementia increased by 4.5% (95% uncertainty interval: 3.4–5.4%) annually from 2000 to 2019, reaching $263 billion (95% uncertainty interval [UI] $199– $333) attributable to dementia in 2019. We estimated total healthcare spending on patients with dementia was $594 billion (95% UI $457–$843). Under the baseline scenario, we estimated that attributable dementia spending will reach $1.6 trillion (95% UI $0.9–$2.6) by 2050. We project it will represent 11% (95% UI 6–18%) of all expected health spending, although it could be as high as 17% (95% UI 10–26%) under alternative scenarios. Interpretation: Health systems will experience increases in the burden of dementia in the near future. These modelled direct cost estimates, built from a relatively small set of data and linear time trends, highlight the magnitude of health system resources expected to be used to provide care and ensure sufficient and adequate resources for aging populations and their caretakers. More data are needed to corroborate these important trends.
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- 2022
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35. Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Emma Nichols, Jaimie D Steinmetz, Stein Emil Vollset, Kai Fukutaki, Julian Chalek, Foad Abd-Allah, Amir Abdoli, Ahmed Abualhasan, Eman Abu-Gharbieh, Tayyaba Tayyaba Akram, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Vahid Alipour, Sami Almustanyir, Hubert Amu, Iman Ansari, Jalal Arabloo, Tahira Ashraf, Thomas Astell-Burt, Getinet Ayano, Jose L Ayuso-Mateos, Atif Amin Baig, Anthony Barnett, Amadou Barrow, Bernhard T Baune, Yannick Béjot, Woldesellassie M Mequanint Bezabhe, Yihienew Mequanint Bezabih, Akshaya Srikanth Bhagavathula, Sonu Bhaskar, Krittika Bhattacharyya, Ali Bijani, Atanu Biswas, Srinivasa Rao Bolla, Archith Boloor, Carol Brayne, Hermann Brenner, Katrin Burkart, Richard A Burns, Luis Alberto Cámera, Chao Cao, Felix Carvalho, Luis F S Castro-de-Araujo, Ferrán Catalá-López, Ester Cerin, Prachi P Chavan, Nicolas Cherbuin, Dinh-Toi Chu, Vera Marisa Costa, Rosa A S Couto, Omid Dadras, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Vanessa De la Cruz-Góngora, Deepak Dhamnetiya, Diana Dias da Silva, Daniel Diaz, Abdel Douiri, David Edvardsson, Michael Ekholuenetale, Iman El Sayed, Shaimaa I El-Jaafary, Khalil Eskandari, Sharareh Eskandarieh, Saman Esmaeilnejad, Jawad Fares, Andre Faro, Umar Farooque, Valery L Feigin, Xiaoqi Feng, Seyed-Mohammad Fereshtehnejad, Eduarda Fernandes, Pietro Ferrara, Irina Filip, Howard Fillit, Florian Fischer, Shilpa Gaidhane, Lucia Galluzzo, Ahmad Ghashghaee, Nermin Ghith, Alessandro Gialluisi, Syed Amir Gilani, Ionela-Roxana Glavan, Elena V Gnedovskaya, Mahaveer Golechha, Rajeev Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Mohammad Rifat Haider, Brian J Hall, Samer Hamidi, Asif Hanif, Graeme J Hankey, Shafiul Haque, Risky Kusuma Hartono, Ahmed I Hasaballah, M Tasdik Hasan, Amr Hassan, Simon I Hay, Khezar Hayat, Mohamed I Hegazy, Golnaz Heidari, Reza Heidari-Soureshjani, Claudiu Herteliu, Mowafa Househ, Rabia Hussain, Bing-Fang Hwang, Licia Iacoviello, Ivo Iavicoli, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Seyed Sina Naghibi Irvani, Hiroyasu Iso, Masao Iwagami, Roxana Jabbarinejad, Louis Jacob, Vardhmaan Jain, Sathish Kumar Jayapal, Ranil Jayawardena, Ravi Prakash Jha, Jost B Jonas, Nitin Joseph, Rizwan Kalani, Amit Kandel, Himal Kandel, André Karch, Ayele Semachew Kasa, Gizat M Kassie, Pedram Keshavarz, Moien AB Khan, Mahalaqua Nazli Khatib, Tawfik Ahmed Muthafer Khoja, Jagdish Khubchandani, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Mika Kivimäki, Walter J Koroshetz, Ai Koyanagi, G Anil Kumar, Manasi Kumar, Hassan Mehmood Lak, Matilde Leonardi, Bingyu Li, Stephen S Lim, Xuefeng Liu, Yuewei Liu, Giancarlo Logroscino, Stefan Lorkowski, Giancarlo Lucchetti, Ricardo Lutzky Saute, Francesca Giulia Magnani, Ahmad Azam Malik, João Massano, Man Mohan Mehndiratta, Ritesh G Menezes, Atte Meretoja, Bahram Mohajer, Norlinah Mohamed Ibrahim, Yousef Mohammad, Arif Mohammed, Ali H Mokdad, Stefania Mondello, Mohammad Ali Ali Moni, Md Moniruzzaman, Tilahun Belete Mossie, Gabriele Nagel, Muhammad Naveed, Vinod C Nayak, Sandhya Neupane Kandel, Trang Huyen Nguyen, Bogdan Oancea, Nikita Otstavnov, Stanislav S Otstavnov, Mayowa O Owolabi, Songhomitra Panda-Jonas, Fatemeh Pashazadeh Kan, Maja Pasovic, Urvish K Patel, Mona Pathak, Mario F P Peres, Arokiasamy Perianayagam, Carrie B Peterson, Michael R Phillips, Marina Pinheiro, Michael A Piradov, Constance Dimity Pond, Michele H Potashman, Faheem Hyder Pottoo, Sergio I Prada, Amir Radfar, Alberto Raggi, Fakher Rahim, Mosiur Rahman, Pradhum Ram, Priyanga Ranasinghe, David Laith Rawaf, Salman Rawaf, Nima Rezaei, Aziz Rezapour, Stephen R Robinson, Michele Romoli, Gholamreza Roshandel, Ramesh Sahathevan, Amirhossein Sahebkar, Mohammad Ali Sahraian, Brijesh Sathian, Davide Sattin, Monika Sawhney, Mete Saylan, Silvia Schiavolin, Allen Seylani, Feng Sha, Masood Ali Shaikh, KS Shaji, Mohammed Shannawaz, Jeevan K Shetty, Mika Shigematsu, Jae Il Shin, Rahman Shiri, Diego Augusto Santos Silva, João Pedro Silva, Renata Silva, Jasvinder A Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Amanda E Smith, Sergey Soshnikov, Emma Elizabeth Spurlock, Dan J Stein, Jing Sun, Rafael Tabarés-Seisdedos, Bhaskar Thakur, Binod Timalsina, Marcos Roberto Tovani-Palone, Bach Xuan Tran, Gebiyaw Wudie Tsegaye, Sahel Valadan Tahbaz, Pascual R Valdez, Narayanaswamy Venketasubramanian, Vasily Vlassov, Giang Thu Vu, Linh Gia Vu, Yuan-Pang Wang, Anders Wimo, Andrea Sylvia Winkler, Lalit Yadav, Seyed Hossein Yahyazadeh Jabbari, Kazumasa Yamagishi, Lin Yang, Yuichiro Yano, Naohiro Yonemoto, Chuanhua Yu, Ismaeel Yunusa, Siddhesh Zadey, Mikhail Sergeevich Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Christopher J L Murray, and Theo Vos
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Public aspects of medicine ,RA1-1270 - Abstract
Summary: Background: Given the projected trends in population ageing and population growth, the number of people with dementia is expected to increase. In addition, strong evidence has emerged supporting the importance of potentially modifiable risk factors for dementia. Characterising the distribution and magnitude of anticipated growth is crucial for public health planning and resource prioritisation. This study aimed to improve on previous forecasts of dementia prevalence by producing country-level estimates and incorporating information on selected risk factors. Methods: We forecasted the prevalence of dementia attributable to the three dementia risk factors included in the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 (high body-mass index, high fasting plasma glucose, and smoking) from 2019 to 2050, using relative risks and forecasted risk factor prevalence to predict GBD risk-attributable prevalence in 2050 globally and by world region and country. Using linear regression models with education included as an additional predictor, we then forecasted the prevalence of dementia not attributable to GBD risks. To assess the relative contribution of future trends in GBD risk factors, education, population growth, and population ageing, we did a decomposition analysis. Findings: We estimated that the number of people with dementia would increase from 57·4 (95% uncertainty interval 50·4–65·1) million cases globally in 2019 to 152·8 (130·8–175·9) million cases in 2050. Despite large increases in the projected number of people living with dementia, age-standardised both-sex prevalence remained stable between 2019 and 2050 (global percentage change of 0·1% [–7·5 to 10·8]). We estimated that there were more women with dementia than men with dementia globally in 2019 (female-to-male ratio of 1·69 [1·64–1·73]), and we expect this pattern to continue to 2050 (female-to-male ratio of 1·67 [1·52–1·85]). There was geographical heterogeneity in the projected increases across countries and regions, with the smallest percentage changes in the number of projected dementia cases in high-income Asia Pacific (53% [41–67]) and western Europe (74% [58–90]), and the largest in north Africa and the Middle East (367% [329–403]) and eastern sub-Saharan Africa (357% [323–395]). Projected increases in cases could largely be attributed to population growth and population ageing, although their relative importance varied by world region, with population growth contributing most to the increases in sub-Saharan Africa and population ageing contributing most to the increases in east Asia. Interpretation: Growth in the number of individuals living with dementia underscores the need for public health planning efforts and policy to address the needs of this group. Country-level estimates can be used to inform national planning efforts and decisions. Multifaceted approaches, including scaling up interventions to address modifiable risk factors and investing in research on biological mechanisms, will be key in addressing the expected increases in the number of individuals affected by dementia. Funding: Bill & Melinda Gates Foundation and Gates Ventures.
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- 2022
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36. Attitudes and views on healthy lifestyle interventions for the prevention of dementia and cardiovascular disease among older people with low socioeconomic status: a qualitative study in the Netherlands
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Edo Richard, Wei Wang, Carol Brayne, Wenzhi Wang, Anders Wimo, Manshu Song, Sandrine Andrieu, Nicola Coley, Ron Handels, Eric P Moll van Charante, Marieke P Hoevenaar-blom, Esmé Eggink, Melanie Hafdi, Cindy Birck, Jean Georges, Eric Moll vanCharante, Marieke Hoevenaar-Blom, Patrick Witvliet, Rachael Brooks, Linda Barnes, Jinxia Zhang, and Rick Mast
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Medicine - Published
- 2022
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37. Effect of Sit-to-Stand Exercises Combined With Protein-Rich Oral Supplementation in Older Persons: The Older Person's Exercise and Nutrition Study
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Grönstedt, Helena, Vikström, Sofia, Cederholm, Tommy, Franzén, Erika, Luiking, Yvette C., Seiger, Åke, Wimo, Anders, Faxén-Irving, Gerd, and Boström, Anne-Marie
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- 2020
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38. Do Malnutrition, Sarcopenia and Frailty Overlap in Nursing-Home Residents?
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Faxén-Irving, Gerd, Luiking, Y., Grönstedt, H., Franzén, E., Seiger, Å., Vikström, S., Wimo, A., Boström, A.-M., and Cederholm, T.
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- 2021
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39. Defeating Alzheimer's disease and other dementias: a priority for European science and society
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Winblad, Bengt, Amouyel, Philippe, Andrieu, Sandrine, Ballard, Clive, Brayne, Carol, Brodaty, Henry, Cedazo-Minguez, Angel, Dubois, Bruno, Edvardsson, David, Feldman, Howard, Fratiglioni, Laura, Frisoni, Giovanni B, Gauthier, Serge, Georges, Jean, Graff, Caroline, Iqbal, Khalid, Jessen, Frank, Johansson, Gunilla, Jönsson, Linus, Kivipelto, Miia, Knapp, Martin, Mangialasche, Francesca, Melis, René, Nordberg, Agneta, Rikkert, Marcel Olde, Qiu, Chengxuan, Sakmar, Thomas P, Scheltens, Philip, Schneider, Lon S, Sperling, Reisa, Tjernberg, Lars O, Waldemar, Gunhild, Wimo, Anders, and Zetterberg, Henrik
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Alzheimer Disease ,Biomedical Research ,Dementia ,Europe ,Humans ,Clinical Sciences ,Neurosciences ,Neurology & Neurosurgery - Published
- 2016
40. Cost‐effectiveness of amyloid‐targeting therapies: modelling based on 5724 biomarker positive AD patients in the Swedish Registry of Cognitive Disorders
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Jönsson, Linus, primary, Skillback, Tobias, additional, Kern, Silke, additional, Winblad, Bengt, additional, Blennow, Kaj, additional, Eriksdotter, Maria, additional, Zetterberg, Henrik, additional, and Wimo, Anders, additional
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- 2023
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41. P3 Open-Source Model Framework for Health-Economic Evaluation of Early Treatment in Alzheimer's Disease
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Handels, R., primary, Wimo, A., additional, Skoldunger, A., additional, Tate, A., additional, Winblad, B., additional, Silvertand, D., additional, Nguyen, L., additional, Jönsson, L., additional, Grimm, S., additional, Aye, S., additional, and Herring, W., additional
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- 2023
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42. Predicting Sojourn Times across Dementia Disease Stages, Institutionalization, and Mortality
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Tate, Ashley, primary, Bouteloup, Vincent, additional, van Maurik, Ingrid S., additional, Mank, Arenda, additional, Speh, Andreja, additional, Eriksdotter, Maria, additional, Wimo, Anders, additional, Dufouil, Carole, additional, van der Flier, Wiesje M., additional, and Jönsson, Linus, additional
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- 2023
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43. MSR136 IPECAD Modeling Workshop 2023 Cross Comparison Challenge on Cost-Effectiveness Models in Alzheimer's Disease and Related Dementias
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Handels, R., primary, Herring, W., additional, Kamgar, F., additional, Gustavsson, A., additional, Skoldunger, A., additional, Wimo, A., additional, Tate, A., additional, Winblad, B., additional, Stellick, C.B., additional, Bruck, C., additional, Green, C., additional, de Kok, I., additional, Hlavka, J., additional, Mar, J., additional, Urbich, M., additional, Soto-Gordoa, M., additional, Pemberton-Ross, P., additional, Aye, S., additional, and Jönsson, L., additional
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- 2023
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44. Determinants of time to institutionalisation and related healthcare and societal costs in a community-based cohort of patients with Alzheimer's disease dementia
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Belger, Mark, Haro, Josep Maria, Reed, Catherine, Happich, Michael, Argimon, Josep Maria, Bruno, Giuseppe, Dodel, Richard, Jones, Roy W., Vellas, Bruno, and Wimo, Anders
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- 2019
45. Design and Development of a Mobile Health (mHealth) Platform for Dementia Prevention in the Prevention of Dementia by Mobile Phone Applications (PRODEMOS) Project
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Melanie Hafdi, Esmé Eggink, Marieke P. Hoevenaar-Blom, M. Patrick Witvliet, Sandrine Andrieu, Linda Barnes, Carol Brayne, Rachael Brooks, Nicola Coley, Jean Georges, Abraham van der Groep, Harm van Marwijk, Mark van der Meijden, Libin Song, Manshu Song, Youxin Wang, Wenzhi Wang, Wei Wang, Anders Wimo, Xiaoyan Ye, Eric P. Moll van Charante, and Edo Richard
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mHealth ,dementia ,cardiovascular disease(s) ,prevention ,design concept ,behavioral health ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Background: Mobile health (mHealth) has the potential to bring preventive healthcare within reach of populations with limited access to preventive services, by delivering personalized support at low cost. Although numerous mHealth interventions are available, very few have been developed following an evidence-based rationale or have been tested for efficacy. This article describes the systematic development of a coach-supported mHealth application to improve healthy lifestyles for the prevention of dementia and cardiovascular disease in the United Kingdom (UK) and China.Methods: Development of the Prevention of Dementia by Mobile Phone applications (PRODEMOS) platform built upon the experiences with the Healthy Aging Through Internet Counseling in the Elderly (HATICE) eHealth platform. In the conceptualization phase, experiences from the HATICE trial and needs and wishes of the PRODEMOS target population were assessed through semi-structured interviews and focus group sessions. Initial technical development of the platform was based on these findings and took place in consecutive sprint sessions. Finally, during the evaluation and adaptation phase, functionality and usability of the platform were evaluated during pilot studies in UK and China.Results: The PRODEMOS mHealth platform facilitates self-management of a healthy lifestyle by goal setting, progress monitoring, and educational materials on healthy lifestyles. Participants receive remote coaching through a chat functionality. Based on lessons learned from the HATICE study and end-users, we made the intervention easy-to-use and included features to personalize the intervention. Following the pilot studies, in which in total 77 people used the mobile application for 6 weeks, the application was made more intuitive, and we improved its functionalities.Conclusion: Early involvement of end-users in the development process and during evaluation phases improved acceptability of the mHealth intervention. The actual use and usability of the PRODEMOS intervention will be assessed during the ongoing PRODEMOS randomized controlled trial, taking a dual focus on effectiveness and implementation outcomes.
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- 2021
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46. Cost-effectiveness models for Alzheimer's disease and related dementias
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Handels, R.L.H., Green, C., Gustavsson, A., Herring, W.L., Winblad, B., Wimo, A., Skoldunger, A., Karlsson, A., Anderson, R., Belger, M., Bruck, C., Espinosa, R., Hlavka, J.P., Jutkowitz, E., Lin, P.J., Mendez, M.L., Mar, J., Shewmaker, P., Spackman, E., Tafazzoli, A., Tysinger, B., Jonsson, L., IPECAD, Modeling, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychology 2, and Public Health
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model validation ,COMPLICATIONS ,TRANSPARENCY ,decision-analytic modeling ,economic evaluation ,Epidemiology ,IMPACT ,Health Policy ,MORTALITY ,EDUCATION ,Alzheimer's disease ,VALIDATION ,PREVALENCE ,Psychiatry and Mental health ,Cellular and Molecular Neuroscience ,Developmental Neuroscience ,SDG 3 - Good Health and Well-being ,ECONOMIC EVALUATIONS ,RA0421 Public health. Hygiene. Preventive Medicine ,Cross-comparison ,Dementia ,Neurology (clinical) ,HEALTH ,Geriatrics and Gerontology ,HOOD CHALLENGE - Abstract
INTRODUCTION: The credibility of model-based economic evaluations of Alzheimer's disease (AD) interventions is central to appropriate decision-making in a policy context. We report on the International PharmacoEconomic Collaboration on Alzheimer's Disease (IPECAD) Modeling Workshop Challenge.METHODS: Two common benchmark scenarios, for the hypothetical treatment of AD mild cognitive impairment (MCI) and mild dementia, were developed jointly by 29 participants. Model outcomes were summarized, and cross-comparisons were discussed during a structured workshop.RESULTS: A broad concordance was established among participants. Mean 10-year restricted survival and time in MCI in the control group ranged across 10 MCI models from 6.7 to 9.5 years and 3.4 to 5.6 years, respectively; and across 4 mild dementia models from 5.4 to 7.9 years (survival) and 1.5 to 4.2 years (mild dementia).DISCUSSION: The model comparison increased our understanding of methods, data used, and disease progression. We established a collaboration framework to assess cost-effectiveness outcomes, an important step toward transparent and credible AD models.
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- 2023
47. Assessing cost-effectiveness of early intervention in Alzheimer's disease: An open-source modeling framework
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Green, Colin, Handels, Ron, Gustavsson, Anders, Wimo, Anders, Winblad, Bengt, Sköldunger, Anders, and Jönsson, Linus
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- 2019
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48. Using an Integrated Clinical and Functional Assessment Tool to Describe the Use of Social and Medical Care in an Urban Community-Dwelling Swedish Older Population
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Santoni, Giola, Meinow, Bettina, Wimo, Anders, Marengoni, Alessandra, Fratiglioni, Laura, and Calderón-Larrañaga, Amaia
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- 2019
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49. The MOPEAD project: Advancing patient engagement for the detection of “hidden” undiagnosed cases of Alzheimer's disease in the community
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Rodríguez-Gómez, Octavio, Rodrigo, Adrián, Iradier, Fátima, Santos-Santos, Miguel A., Hundemer, Hans, Ciudin, Andreea, Sannemann, Lena, Zwan, Marissa, Glaysher, Bridget, Wimo, Anders, Bonn, Jaka, Johansson, Gunilla, Rodriguez, Isabel, Alegret, Montse, Gove, Dianne, Pinó, Susana, Trigueros, Paloma, Kivipelto, Miia, Mathews, Brandy, Ciudad, Antonio, Ferreira, Daniel, Bintener, Christophe, Gurruchaga, Miren, Westman, Eric, Belger, Mark, Valero, Sergi, Maguire, Peggy, Krivec, David, Kramberger, Milica, Simó, Rafael, Garro, Inmaculada Pérez, Visser, Pieter Jelle, Dumas, Annette, Georges, Jean, Jessen, Frank, Winblad, Bengt, Shering, Craig, Stewart, Neil, Campo, Laura, and Boada, Mercè
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- 2019
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50. Prevention of dementia using mobile phone applications (PRODEMOS): protocol for an international randomised controlled trial
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Edo Richard, Dong Li, Hongmei Liu, Carol Brayne, Wenzhi Wang, Anders Wimo, Manshu Song, Youxin Wang, Harm Van Marwijk, Elizabeth Ford, Sandrine Andrieu, Nicola Coley, Ron Handels, Jihui Lyu, Eric P Moll van Charante, Willem A Van gool, Marieke P Hoevenaar-blom, Qiang Zeng, Esmé Eggink, Melanie Hafdi, Linda E Barnes, Cindy Birck, Rachael L Brooks, Jean Georges, Abraham van der Groep, Haifeng Hou, Mark van der Meijden, Yixuan Niu, Shanu Sadhwani, Xiaoyan Ye, and Yueyi Yu
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Medicine - Abstract
Introduction Profiles of high risk for future dementia are well understood and are likely to concern mostly those in low-income and middle-income countries and people at greater disadvantage in high-income countries. Approximately 30%–40% of dementia cases have been estimated to be attributed to modifiable risk factors, including hypertension, smoking and sedentary lifestyle. Tailored interventions targeting these risk factors can potentially prevent or delay the onset of dementia. Mobile health (mHealth) improves accessibility of such prevention strategies in hard-to-reach populations while at the same time tailoring such approaches. In the current study, we will investigate the effectiveness and implementation of a coach-supported mHealth intervention, targeting dementia risk factors, to reduce dementia risk.Methods and analysis The prevention of dementia using mobile phone applications (PRODEMOS) randomised controlled trial will follow an effectiveness–implementation hybrid design, taking place in the UK and China. People are eligible if they are 55–75 years old, of low socioeconomic status (UK) or from the general population (China); have ≥2 dementia risk factors; and own a smartphone. 2400 participants will be randomised to either a coach-supported, interactive mHealth platform, facilitating self-management of dementia risk factors, or a static control platform. The intervention and follow-up period will be 18 months. The primary effectiveness outcome is change in the previously validated Cardiovascular Risk Factors, Ageing and Incidence of Dementia dementia risk score. The main secondary outcomes include improvement of individual risk factors and cost-effectiveness. Implementation outcomes include acceptability, adoption, feasibility and sustainability of the intervention.Ethics and dissemination The PRODEMOS trial is sponsored in the UK by the University of Cambridge and is granted ethical approval by the London—Brighton and Sussex Research Ethics Committee (reference: 20/LO/01440). In China, the trial is approved by the medical ethics committees of Capital Medical University, Beijing Tiantan Hospital, Beijing Geriatric Hospital, Chinese People’s Liberation Army General Hospital, Taishan Medical University and Xuanwu Hospital. Results will be published in a peer-reviewed journal.Trial registration number ISRCTN15986016.
- Published
- 2021
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