Yuewei Ling

All Publications

• MSTI-GNN: A multi-scale spatiotemporal interactive graph neural network method for precise hydropower unit status prediction RENEWABLE ENERGY Yi, T., Guo, J., Meng, Y., Ling, Y., Ke, Y., Guo, Z. 2026; 256

  View details for DOI 10.1016/j.renene.2025.123969

  View details for Web of Science ID 001531791400001

• Leveraging plasma concentrations to optimize extracorporeal treatment in acute diquat poisoning: a multi-center retrospective cohort study. Clinical toxicology (Philadelphia, Pa.) Ling, Y., Mao, Z., Zhou, C., Li, J., Liu, W., Zhang, H., Jiang, L., Nie, S., Zhao, H., Wu, C., Chen, J., Chen, Y., Bai, G., Xu, J., Geng, P., Xu, C., Huang, J., Chen, F., Zhang, J., Sun, H. 2025: 1-12

  Abstract

  Diquat poisoning is common in Asia and the optimal enhanced elimination strategy is unknown. This study aimed to evaluate the clinical value of plasma diquat concentrations in guiding personalized extracorporeal treatment regimens for patients with acute diquat poisoning.This multi-center retrospective cohort study included 163 patients with acute diquat poisoning admitted between February 2022 and July 2023. Patients were divided into three groups based on plasma diquat concentrations measured upon presentation to the emergency department: low (<100 μg/L), medium (100-1,000 μg/L), and high (≥1,000 μg/L). The evaluated extracorporeal treatment regimens included hemoperfusion alone and a combination of hemoperfusion with continuous veno-venous hemodiafiltration. Kaplan-Meier survival curves were used to estimate cumulative survival probabilities, with survival probabilities compared using log-rank tests.All 66 patients survived in the low concentration group, regardless of the extracorporeal treatment used. In the medium and high concentration groups, five patients who refused extracorporeal treatment died, whereas 92 patients who received extracorporeal treatment had a case fatality rate of 48.9%. In the high concentration group, patients receiving hemoperfusion combined with continuous veno-venous hemodiafiltration had a case fatality rate of 76.7% and better survival probabilities, compared to hemoperfusion-only patients, which had no survivors. Additionally, among those treated with a combination of hemoperfusion and continuous veno-venous hemodiafiltration, the time interval from the end of hemoperfusion session to the initiation of continuous veno-venous hemodiafiltration was, on average, shorter for survivors than deaths (3.7 h versus 4.7 h).This retrospective observational study of diquat poisoned patients highlights the potential for personalized extracorporeal treatment regimens using an initial plasma diquat concentration. Future randomized trials are warranted to evaluate the optimal use of extracorporeal treatments.Obtaining plasma diquat concentrations may be of great value for guiding extracorporeal treatment regimens to improve prognosis in patients with acute diquat poisoning.

  View details for DOI 10.1080/15563650.2025.2591798

  View details for PubMedID 41355765

• Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023 LANCET Hay, S. I., Ong, K., Santomauro, D. F., Bhoomadevi, A., Aalipour, M., Aalruz, H., Ababneh, H. S., Abaraogu, U. O., Abate, B., Abbafati, C., Abbas, N., Abbasifard, M., Abbasi-Kangevari, M., Abd ElHafeez, S., Abdalla, A., Abdalla, M., Abdallah, E. M., Abdeeq, B., Razeq, N., Abdelgalil, A., Abdel-Hameed, R., Abdelmasseh, M., Abdelnabi, M., Abdel-Rahman, W. M., Abd-Elsalam, S., Abdi, S., Abdollahi, M., Abdoun, M., Abdous, A., Aziz, J., Abdulah, D., Abdulkader, R., Abdullahi, A., Abdullahi, A., Abdul-Rahman, T., Abdykerimova, K., Getahun, H., Abedi, A., Abedi, A., Abejew, A., Zuniga, R., Abhilash, E. S., Al Abid, S., Abidi, S., Abie, A., Abiodun, O., Abiodun, O., Aboagye, R., Abohashem, S., Abolhassani, H., Abonie, U., Abourashed, N. M., Abouzid, M., Abramov, D., Abreu, L., Abtahi, D., Abu Farha, R., Abuadas, F. A., Abubakar, A., Abubakar, B., Abu-Gharbieh, E., Abuhammad, S., Abuhelwa, A. Y., Abukhadijah, H. J., Abu-Rmeileh, N. M. E., Aburuz, S., Abushanab, D., Achar, R., Acharya, A., Acharya, A., Ackerman, I. N., Acuna, J., Adal, O., Adams, L. C., Adamu, L., Adane, M., Addisu, Z., Addo, I., Adeagbo, O., Adebisi, T., Adedeji, I., Adedia, D., Adedokun, K., Adedoyin, R., Adegbile, O. E., Adegboye, O. A., Adegoke, N. A., Adeleke, O., Adesina, I., Adesina, M., Adewuyi, H., Adeyeoluwa, T., Adeyomoye, O., Adhikari, K., Adhikary, R., Adiga, U., Adnan, M., Adnani, Q., Adoma, P., Adzigbli, L., Adzrago, D., Affinito, G., Afifi, A. M., Afolabi, A., Afolabi, R., Afzal, S., Agafari, G., Agampodi, S., Ageru, T., Aggarwal, N., Aghaalikhani, M., Aghajanian, S., Aghamir, S., Sobrinho, C., Agrawal, A., Agyemang-Duah, W., Ahadi, M., Ahinkorah, B., Ahmad, A., Ahmad, D., Ahmad, F., Ahmad, K., Ahmad, K., Ahmad, M. M., Ahmad, N., Ahmad, R., Ahmad, S., Ahmad, T., Ahmad, W., Ahmadi, N., Ahmadzade, A., Ahmadzade, M., Ahmed, A., Ahmed, A., Ahmed, A., Ahmed, G., Ahmed, H., Ahmed, J., Ahmed, L. A., Ahmed, M., Ahmed, M., Ahmed, M., Ahmed, M., Ahmed, O., Ahmed, S., Ahmed, S., Aimagambetova, G., Jabbar, A. A. J., Ajala, D., Ajami, M., Ajose, A., Akbarialiabad, H., Akbarifard, S., Akeju, O., Akhigbe, R., Akinkuotu, O., Akinosoglou, K., Akkaif, M., Akkala, S., Akosile, W., Akram, H., Akrami, A. E., Akyea, R., Al Amiry, A., Al Awaidy, S., Al Hasan, S., Al Omari, O., Al Qadire, M., Al Ta'ani, O., Al Taie, W. A. M., Al Thaher, Y., Al Zaabi, O., Al Zoubi, M., Al-Abbadi, M., Al-Ajlouni, Y., Alalwan, T. A., Al-Aly, Z., Alam, K., Alam, M., Alam, M., Alam, M., Al-Amer, R., Alamrew, A., Alansari, A., Alanzi, T. M., Al-Ashwal, F. Y., Al-Asmar, R., Alavi, S., Albashtawy, M., Al-Dalakta, A., Aldawsari, K. A., Aldhaleei, W. A., Aldossary, M. S., Aldridge, R. W., Alebshehy, R., Aleidi, S. M., Alemayehu, B., Alemayehu, T., Alemnew, F., Alemu, M., Al-Eyadhy, A., Alfalki, A. M., Algahtani, F. D., Algammal, A. M., Algethami, M., Al-Gheethi, A., Al-Habbal, K., Alhabib, K. F., Alhaji, N., Al-Hajj, S., Alhalaiqa, F., Al-Hanawi, M., Ibrahim, A., Alhumaidi, A., Alhumaydhi, F. A., Alhuwail, D., Ali, A., Ali, H., Ali, I., Ali, M., Ali, M., Ali, M., Ali, R., Ali, S., Ali, S., Ali, S., Ali, W., Al-Ibraheem, A., Alicandro, G., Al-Iede, M., Alif, S., Alipour, M., Al-Jabi, S. W., Aljasir, M. A., Aljofan, M., Al-Jumaily, A., Aljunid, S., Alkhatib, A., Alkhatib, M. H., Alkhawam, M., Allahbakhshian, A., Allemailem, K. S., Allouh, M. Z., Almagharbeh, W., Almahmeed, W., Al-Marwani, S., Almasri, N. A., Almazan, J., Al-Mekhlafi, H. M., Almidani, O., Almobayed, A., Alnawafleh, K., Alniss, H., Sukumar, M., Alomari, M. A., Alosta, M. R., Alqahtani, J. S., Alqahtani, S. A., Alqudimat, M. R., Al-Qudimat, A., Alrawashdeh, A., Alrimawi, I., Alrousan, S., Al-Sabah, S., Alsabri, M. A., Alshahrani, N. Z., Alshehri, M., Altaany, Z., Altaf, A., Al-Tammemi, A. B., Al-Tawfiq, J. A., Althobiani, M. A., Altirkawi, K. A., Alvarez-Galvez, J., Carneiro, V., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Alwafi, H., Al-Wardat, M., Al-Worafi, Y., Aly, H., Alyahya, M., AlZahmi, A., Alzahrani, H., Alzoubi, K. H., Al-Zubayer, M., Amaechi, U., Amafah, E., Amafah, J., Mohammadi, M., Amani-Beni, R., Amegah, A., Amer, F., Amidi, B., Amin, A., Amin, T., Amindarolzarbi, A., Amini, S., Amini-Salehi, E., Aminu, N., Aminzare, M., Amiri, S., Amlag, J. O., Amugsi, D. A., Amzat, J., Anagnostakis, F., Ananda, R. A., Ancuceanu, R., Anderlini, D., Anderson, D. B., Anderson, J. A., Androudi, S., Anenberg, S. C., Ang, S., Angus, C., Nguyen Hoang Anh, Ankomah, S., Annadurai, K., Anoushiravani, A., Ansari, I., Ansari, S., Ansari, U., Anteneh, R., Anto, J. M., Antony, C. M., Antriyandarti, E., Anuoluwa, B., Anwar, S., Anwar, S., Anwer, R., Anwer, S., Anyasodor, A., Apostol, G., Arab, J., Arabi, H., Arabloo, J., Arafat, M., Aravkin, A. Y., Areda, D., de la Torre, J., Ariffin, H., Armocida, B., Arnlov, J., Arockiaraj, J., Arooj, M., Artamonov, A. A., Artanti, K., Aruleba, R., Arumuganainar, D., Aryntayeva, N., Anar, M., Asaduzzaman, M., Asdaq, S., Asefa, S., Asemu, M., Asgary, S., Asghari-Jafarabadi, M., Ashbaugh, C., Ashraf, S., Ashraf, T., Ashrafi, M., Ashrafizadeh, M., Asiamah-Asare, B., Aslam, M., Aslani, S., Asri, Y., Assembekov, B., Astell-Burt, T., Ataei, M., Athari, M., Athari, S., Atout, M., Atre, S. R., Atreya, A., Atta, J., Atwan, Z. A., Aumoldaeva, Z., Ausloos, M., Avan, A., Avelar, N., Awan, S., Awosile, B. B., Awotidebe, A., Ayana, L. A., Ayatizadeh, S., Ayinde, O. O., Ayipo, Y., Ayyoubzadeh, S., Azadi, D., Azadnajafabad, S., Azarboo, A., Azargoonjahromi, A., Azhar, M., Azimi, F., Aziz, M., Aziz, S., Azizan, A., Azzam, A. Y., Azzolino, D., Babandi, Z., Babiker, R., Babu, G., Bacha, I., Badar, M., Badiye, A. D., Badran, A., Bae, Y., Bagga, A., Baghdadi, S., Bagheri, N., Bagheri, S., Baghizadeh, E., Baghizadeh, F., Baghizadeh, S., Baghlaf, K. K., Bahmanziari, N., Bahrami, M., Bahreini, R., Bai, R., Baig, A., Baigi, V., Bakkannavar, S. M., Bako, A. T., Balakrishnan, S., Balcha, W., Balkis, M., Balmori-de-la-Miyar, J., Hasankhani, M., Baltatu, O., Bamashmous, S., Banach, M., Banakar, M., Banik, P., Banik, R., Barati, S., Barengo, N. C., Barker-Collo, S., Barqawi, H., Beltran, I., Barrow, A., Barteit, S., Barua, L., Abu Bashar, M. D., Basharat, Z., Bashir, S., Basile, G., Baskaran, P., Basri, R., Bassat, Q., Bastan, M., Basu, S., Basu, S., Batra, K., Baune, B. T., Bayat, M., Tork, M., Bayih, M., Bayisa, F., Bayleyegn, N., Beaney, T., Bedi, N., Beeraka, N. M., Behera, P., Behjati, J., Behnam, B., Behnoush, A., Bekele, B. K., Belayneh, A., Belayneh, M., Belete, A., Bilgin, G., Belingheri, M., Bello, M., Bello, O., Belo, L., Beloukas, A., Bendak, S., Bendardaf, R., Benjet, C., Bennett, D. A., Bensenor, I. M., Tune, S., Benzian, H., Berezvai, Z., Bergami, M., Berhie, A., Berihun, A., Bermudez, A. C., Bernabe, E., Bernstein, R. S., Bettencourt, P. J. G., Bhadoria, A., Bhagavathula, A., Bhala, N., Bhandari, J., Bhangdia, K., Bharadwaj, R., Bhaskar, S., Bhat, A., Bhat, A., Bhat, V., Bhattacharjee, P., Bhattacharjee, S., Bhatti, G., Bhatti, J., Bhatti, M., Bhatti, R., Bhuyan, S. S., Biadgilign, S., Bievel-Radulescu, R., Bilgin, C., Bilgin, C., Biroudian, S., Bisignano, C., Biswas, A., Biswas, B., Biswas, R., Bitar, A., Bitew, M., Bizzozero-Peroni, B., Bjertness, E., Blyth, F. M., Bodhare, T., Bodolica, V., Bodur, M., Bohn, L., Bokota, R., Bolarinwa, O., Bolla, S., Bolourinejad, P., Bonny, A., Boppana, S., Basara, B., Bordbar, S., Borhany, H., Carvajal, A., Bouaoud, S., Boufous, S., Bourne, R. R. A., Boxe, C., Bozic, M. M., Brahmaiah, J., Braithwaite, D., Breitborde, N. J. K., Brenner, H., Brewer, E. D., Britton, G., Brown, J., Browne, A. J., Brugha, T., Buchweitz, C., Bugiardini, R., Bui, L., Bulamu, N. B., Bunare, T., Buonsenso, D., Burhan, A., Burkart, K., Burns, R. A., Busch, F., Busse, R., Bustanji, Y., Butt, Z. A., Buxbaum, C., Sanjay, C. J., Cagney, J., Cai, T., Cairns, R., Barsbay, M., Calina, D., Camera, L., Campos, L., Campos-Nonato, I., Cao, F., Cao, Y., Capodici, A., Cardenas, R., Carr, S., Carreras, G., Carrero, J., Carter, A., Carugno, A., Carvalho, A. F., Carvalho-e-Silva, A., Castaldelli-Maia, J., Castaneda-Orjuela, C. A., Castelpietra, G., Catapano, A. L., Cattaruzza, M., Caye, A., Cederroth, C. R., Cegolon, L., Cembranel, F., Cenderadewi, M., Cercy, K. M., Cerin, E., Cerrai, S., Cevik, M., Shivamadhu, M., Chakraborty, C., Chakraborty, P., Chakraborty, S., Chandan, J., Chandika, R., Chandradasa, M., Chandrasekar, E. K., Chang, J., Chattu, V., Chatzimavridou-Grigoriadou, V., Chau, L., Chaudhuri, S., Chaurasia, A., Chemeda, G., Chen, A., Chen, C. S., Chen, G., Chen, H., Chen, H., Chen, H., Chen, J., Chen, M., Chen, S., Chen, S., Chen, X., Chen, Y., Cheng, H., Cheung, K., Chew, N. W. S., Chi, G., Chien, J., Chimed-Ochir, O., Ching, P. R., Chirinos-Caceres, J., Chisari, C. G., Cho, W. C. S., Chong, B., Chong, Y., Chou, H., Chowdhury, E., Chowdhury, M., Christensen, H., Christensen, S., Chu, D., Chukwu, I., Chung, E., Chung, E., Chung, S., Chung, S., Chutiyami, M., Cicero, A., Ciobanu, L. G., Cogen, R. M., Cohen, A. J., Columbus, A., Conde, J., Congly, S. E., Conrad, N., Conti, S., Corda, M., Corlateanu, A., Cortese, S., Cortesi, P., Cosma, C., Cousin, E., Cowart, E., Criqui, M. H., Crist, A., Cruz, J. A., Cruz-Martins, N., Cui, X., Culbreth, G. T., Dababo, N., Dabbagh, A., Dadras, O., Dahiru, T., Dai, X., Dai, Z., Dalakoti, M., Dalal, K., Dalla Costa, G., Damiani, G., D'Amico, E., Damtew, Y., Daniel, R., D'Anna, L., Danpanichkul, P., Darcho, S., Dardas, L., Darouei, B., Soltani, R., Dastiridou, A., Davey, G., Davila-Cervantes, C., Weaver, N., Davletov, D., Davletov, K., Davoudi, E., De la Hoz, F., de Luca, K., DeCleene, N. K., Dee, E., Deegan, O., Deekonda, S., Deen, A., Degenhardt, L., Dehesh, P., Deitesfeld, L., Dejenie, T., Delbari, P., Delsoz, M., Demeke, D., Demetriades, A. K., Demsie, D., Denova-Gutierrez, E., Derese, T., Dergaa, I., Derseh, H., Dervisevic, E., Desta, A., Devanbu, V., Devarakonda, P., Dewan, S., Dhali, A., Dhama, K., Dhamija, R. K., Dhane, A. S., Dhania, N. K., Dhimal, M., Dhimal, M., Dhingra, S., Dhungel, B., Di Pumpo, M., da Silva, D., Diaz, D., Diaz, L., Didehvar, K., Dillard, L. K., Dima, A., Ding, X., Dinkayehu, T., Huyen Phuc Do, Thao Huynh Phuong Do, Dokova, K., Dolecek, C., Dominguez, R., Dondi, F., D'Oria, M., Dorostkar, F., Doshi, O., Dourado, P., Dowou, R., Dresse, M., Driscoll, T., Dsouza, A., Dsouza, V., Du, J., Dube, J., Dumbili, E. W., Dumith, S. C., Dunne, J., Duraes, A., Duraisamy, S., Durojaiye, O., Dutta, A., Dziedzic, A., E'mar, A., Ebohon, O., Eboreime, E., Ebraheim, L., Ebrahimi, A., Ebrahimi, M., Ebrahimi, S., Ed-Dra, A., Edelduok, E., Edvardsson, K., Efendi, F., Eftekhari, B., Eghbali, F., Ehsani, F., Sedeh, A., Eikemo, T., Eini, E., Ekholuenetale, M., Ekundayo, T., El Arab, R., EL Omri, A., Zaki, M., Eladl, M., Elahi, R., El-Ashker, S., Elbeshbeishy, R., Elemam, N., ElGohary, G., Elhadi, M., Elhoumed, M., El-Huneidi, W., Elkannishy, S., Elmeligy, O., Elmorsi, R., Elmoselhi, A. B., Elnaem, M., ELNahas, G., Elshaer, M., Elsohaby, I., Eltahawy, A., Emagneneh, T., Emeto, T. I., Emojevwe, V., Endeshaw, D., Endriyas, M., Erskine, H. E., Esezobor, C., Eshetu, D., Eshetu, H., Eshun, G., Eskandarieh, S., Eslami, M., do Espirito Santo, R., Esposito, F., Estep, K., Estrada, C. M., Eva, F., Ezenwankwo, E., Fadaka, A., Fadavian, H., Fagbamigbe, A., Fahim, A., Fakhradiyev, I., Fakhri-Demeshghieh, A., Fan, Q., Farahmand, M., Faraon, E., Fareed, M., Farhana, Z., Sofia e Sa Farinha, C., Faris, M., Faro, A., Farooq, S., Farooque, U., Farrokhpour, H., Farshad, F., Farsi, F., Faruk, M., Fasina, F., Fasina, M., Fasusi, E., Fatehizadeh, A., Fathi, D., Fatima, Z., Fazlzadeh, M., Fei, L., Feigin, V. L., Feizkhah, A., Fekadu, G., Feleke, B., Feng, D., Feng, K., Feng, X., Ferdous, T., Fereshtehnejad, S., Fernandez-Jimenez, R., Ferrara, P., Ferrari, A. J., Ferreira, A., Ferreira, N., Feter, N., Finnemore, A., Fiorilla, C., Fischer, F., Fitriana, I., Flor, L. S., Fogacci, F., Folayan, M., Fonzo, M., Force, L. M., Fornari, A., Fornari, C., Forthun, I., Fortuna, D., Foschi, M., Fotouhi, M., Fowobaje, K., Foyet, J. F., Franklin, R., Freitas, A., Fu, J., Fullman, N., Fux, B., Sridevi, G., Gaal, P., Gadeka, D., Gajdacs, M., Galali, Y., Gallus, S., Ganapathy, D., Gangachannaiah, S., Ganie, M., Gao, D., Gao, X., Garba, B., Garcia Vanessa Garcia, F., Garcia-Argibay, M., Garcia-Azorin, D., Gardner, W. M., Garlasco, J., Gatzioufas, Z., Gautam, P., Gautam, R. K., Gazzelloni, F., Gebre, F., Gebregergis, M., Gebreslassie, H., Gelibter, S., George, N., Matin, A., Getahun, G. K., Gete, K., Ghadimi, D. J., Ghadiri, K., Ghadirian, F., Jolfayi, A., Ghamari, S., Ghamkhar, A., Ghandili, A., Ghasemi, M., Ghasemi, M., Assl, S., Ghasrsaz, H., Ghazy, R., Ghimire, S., Ghith, N., Gholizadeh, N., Ghotbi, E., Gialluisi, A., Giannakis, K., Gibson, R., Gil, A., Gil, G., Gilani, S., Gilbertson, N. M., Gill, T. K., Ginindza, T. G., Giri, B., Girmay, A., Girombelli, A., Gnedovskaya, E. V., Gobolos, L., Gohari, K., Golechha, M., Goleij, P., Golestani, A., Golinelli, D., Golmohammadi, M., Gong, W., Gopalani, S., Goshu, Y., Goulart, A. C., Goyal, A., Grada, A., Graham, S., Grieco, V., Grivna, M., Grover, A., Guadie, H., Guan, S., Guan, Z., Guarducci, G., Gubari, M., Guha, A., Gunawardane, D., Guo, X., Guo, Z., Guo, Z., Guo, Z., Gupta, A., Gupta, H., Gupta, I., Gupta, L., Das Gupta, R., Gupta, R., Gupta, S., Gupta, V., Gupta, V., Gupta, V., Gupta, V., Guracho, Y., Gurmessa, L., Gutierrez, R., Gutierrez-Murillo, R., Guttoo, P., Guzman-Esquivel, J., Habibzadeh, A., Habteyes, A., Habteyohannes, A., Hadaro, T., Hadi, N. R., Hadian, Z., Hafiz, A., Haghdoost, F., Haghtalab, A., Hagins, H., Haile, D., Hailu, H., Halder, P., Halimi, A., Haller, S., Aziz, K., Hamad, I. M., Hamadeh, R. R., Hamdy, N. M., Hameed, S., Hamilton, E. B., Hammoud, A., Hamza, M., Hamza, U., Han, H., Yekdes, D., Hanif, A., Hanifi, N., Hankey, G. J., Hanna, F., Haque, A., Haque, M., Haque, M., Harapan, H., Harb, H. L., Harding, K. L., Hargono, A., Hariandja, A., Haro, J., Harris, A., Has, E., Hasaballah, A. I., Hasan, F., Hasan, M., Hasani, H., Hasanpour-Dehkordi, A., Zadeh, A., Hashempur, M., Hashim, N., Hasnain, A., Hassan, A., Hassan, I., Hassan, I., Hassan, N., Tabatabaei, M., Hassani, S., Hassen, M., Hathagoda, L., Havmoeller, R. J., Hawat, A., Hayat, K., Hbid, Y., He, J., He, J., Hebert, J. J., Heidari, M., Hemmati, M., Henson, C. A., Herbert, M. E., Herteliu, C., Heuer, A., Hewage, S., Heydari, M., Heydarifard, Z., Hezam, K., Hiraike, Y., Holla, R., Hon, J., Hossain, A., Hossain, L., Hossain, M., Hossain, M., Hossain, M., Hossain, M., Hosseinzadeh, H., Hosseinzadeh, M., Hostiuc, M., Hostiuc, S., Houser, J., Htay, M., Hu, C., Hu, Y., Huang, J., Huang, W., Huang, Y., Huda, M., Human, A., Humphrey, K., Hushmandi, K., Husoy, A., Hussain, J., Hussain, M., Hussain, S., Hussein, D., Hussein, N. R., Husseiny, M., Huynh, H., Hwang, B., Iannone, L., Ibrahim, A., Ibrahim, K. S., Ibrahim, R., Ibrahim, R., Ibrayeva, A., Idalsoaga, F., Iftikhar, P., Ihler, A. L., Ikeda, N., Ikiroma, A., Ikram, J., Ilesanmi, O., Ilic, I. M., Ilic, M. D., Ilyas, M., Imam, M., Imani, M., Immurana, M., Imoh, L., Inbaraj, L., Inok, A., Iqbal, M., Irham, L., Isa, M., Islam, M., Islam, M., Islam, M., Islami, F., Ismail, F., Ismail, N., Ismoldayev, Y., Iso, H., Isola, G., Ituka, M., Iwagami, M., Iwu-Jaja, C., Iyamu, I., Iyer, M., Iyer, V. J., Vinothini, J., Jaafari, J., Jacob, L., Jacobsen, K. H., Jadidi, A., Jadidi-Niaragh, F., Jafarinia, M., Jaffar, S., Jahrami, H., Jairoun, A., Jaiswal, V., Jakovljevic, M., Jaliliyan, A., Yengejeh, R., Jalloh, M., Jamal, A., Jamal, Q., Jamaluddin, J., James, J., James, T. G., Jamil, H., Jamil, S., Jamora, R. G., Jamshidi, M., JamshidiRastabi, S., Janardhanan, R., Jarrahi, E., Javaid, S., Javanmardi, A., Javidnia, J., Jawaid, T., Abed, Q., Jayasinghe, R., Jayasinghe, Y., Jayatilleke, A., Jazi, K., Jebasingh, F. K., Jee, S., Jeganathan, J., Jember, T., Jena, B., Jena, D., Jeong, S., Jessri, M., Jeswani, B., Jha, V., Ji, Z., Jiang, M., Jin, W., Jin, W., Johnson, C. O., Johnson, E., Jokar, M., Jonas, J. B., Joo, T., Jor, A., Joseph, A., Joseph, A., Joseph, N., Joshua, C., Joukar, F., Joy, G., Jozwiak, J., Jurisson, M., Juweid, M. E., Madhanraj, K., Kaambwa, B., Kabir, Z., Kadir, D., Kahn, E. M., Kakkar, A., Kalankesh, L. R., Kalavani, K., Kaliyadan, F., Kaliyakparova, A., Kalra, S., Kamal, M., Kamal, M., Kamarajah, S., Kamath, R., Kamenova, S., Kamireddy, A., Kamorudeen, R. T., Kamyshnyi, O., Kan, H., Kanaan, M., Kanaan, S., Kang, J., Kankam, S., Kanmodi, K., Kannan, S., Kannan, S. S., Kantar, R. S., Kapoor, N., Kar, S., Karakasis, P., Karasneh, R. A., Karimi, H., Behnagh, A., Karkhah, S., Karobari, M., Karpinski, T. M., Kashyap, M., Kaso, A., Kasraei, H., Kassaw, N., Katamreddy, A., Katoto, P. C., Kauppila, J. H., Kayode, G. A., Rad, N., Keivanlou, M., Keiyoro, P., Keke, C., Kempen, J. H., Kerai, S., Keshri, V., Keshtkar, K., Kesse-Guyot, E., Khademi, R., Khader, Y., Khaing, I., Khajuria, H., Khalid, S., Khalid-Ariturk, S., Khalifa, H. O., Khalifeh, A., Khalil, A., Khalil, M., Khalili, A., Khalili, P., Khalili-Tanha, G., Khalis, M., Khamesipour, F., Khan, A., Khan, A., Khan, A., Khan, F., Khan, M., Khan, M., Khan, M., Khan, M., Khan, M., Khan, M., Khan, M., Khan, M., Khan, N., Khan, R., Khan, S., Khan, S., Khan, S., Khan, Y., Khan, Z., Khanal, S., Khanal, V., Khanmohammadi, S., Khasbage, S., Khashim, Z., Khatab, K., Khatatbeh, H., Khatatbeh, M., Khatri, K., Kashani, H., Khazaei, A., Zarandi, P., Khokhar, S., Khonji, M., Khoshnaw, N., Khosla, A., Khosravi, F., Khosrowjerdi, M., Khuman, P., Khusun, H., Kifle, Z., Kim, H., Kim, J., Kim, M., Kim, S., Kimokoti, R. W., Kinfu, Y., Kirk, M., Kisa, A., Kisa, S., Kissimova-Skarbek, K., Kivimaki, M., Klusty, J., Basith, A. K. M., Shivakumar, K. M., Knudsen, A., Kobyliak, N., Kocarnik, J. M., Kochhar, S., Kokkorakis, M., Kolahi, A., Tcheumeni, D., Kompani, F., Kondybayeva, A., Konstas, A., Koomson, I., Koren, G., Kormoker, T., Korzh, O., Kostev, K., Kotsis, K., Koul, A., Koul, P. A., Laxminarayana, S., Kretchy, I., Kretchy, J., Krishan, K., Kua, C., Kuanar, A., Defo, B., Kuchay, R., Bicer, B., Kuddus, M., Kuitunen, I., Kujan, O., Kujur, A., Kulimbet, M., Kulkarni, V., Kulshreshtha, S., Kumar, D., Kumar, D., Kumar, J., Kumar, M., Kumar, N., Kumar, N., Kumar, R., Kumar, S., Kumar, T., Kumar, V., Kumaran, S., Kunjavara, J., Kunutsor, S. K., Kurmanova, A., Kurmi, O. P., Kurniasari, M., Kurpad, K., Kushawaha, P., Kusnali, A., Kustanti, C., Kusuma, D., Kutluk, T., Kuttybayev, A., Kwarteng, M., Kwong, W., Kyei, E. F., Kyei, G., Kyto, V., Kyu, H., Pallavi, L. C., La Vecchia, A., La Vecchia, C., Ladan, M., Laflamme, L., Lahariya, C., Lai, D., Lakhani, A., Lal, D., Lalloo, R., Lallukka, T., Lam, J., Landires, I., Langguth, B., Laplante-Levesque, A., Lasrado, S., Latief, K., Lau, K., Lawal, B., Lawal, B., Lawal, S., Lawan, A., Lawford, H. L. S., Lawlor, H. R., Dai Quang Le, Duc Huy Le, Huu-Hoai Le, Long Khanh Dao Le, Minh Huu Nhat Le, Nhi Huu Hanh Le, Thao Thi Thu Le, Trang Diep Thanh Le, Ledda, C., Lee, H., Lee, S., Lee, W., Lee, Y., Leigh, J., Leivaditis, V., Lennon, M. J., Leonardi, M., Leong, E., Leung, J., Li, C., Li, H., Li, H., Li, J., Li, J., Li, J., Li, J., Li, M., Li, P., Li, S., Li, W., Li, W., Li, W., Li, W., Li, X., Li, Y., Li, Y., Li, Z., Li, Z., Lian, Y., Liang, X., Lim, S. S., Lin, J., Lin, Q., Lin, R., Lin, Y., Lindholm, D., Linehan, C., Ling, Y., Liu, G., Liu, H., Liu, J., Liu, X., Liu, X., Liu, X., Liu, Y., Liu, Y., Llanaj, E., Loftus, M. J., Lohner, V., Lopez-Gil, J., Lopukhov, P. D., Lorkowski, S., Lotfizadeh, M., Luan, S., Lubinda, J., Lucas, T., Lucchetti, G., Lugo, A., Lunevicius, R., Luo, P., Lusk, J. B., Lutambi, A. M., Saute, R., Lytras, M. D., Lytvyak, E., Amin, H. M., Ma, K., Ma, Z., Mabrok, M., Machado, I. E., Madadi, F., Madinezad, S., Madsen, C., Madureira-Carvalho, A., Abd El Razek, M., Maghazachi, A. A., Prasad, D., Mahalingam, S., Mahalleh, M., Mahmood, N., Mahmoudi, A., Mahmoudi, F., My Tra Mai, Maiti, R., Majeed, A., Makris, K. C., Malekpour, M., Malekzadeh, R., Malhotra, H., Malik, A., Malik, F., Malik, T., Malta, D., Mamun, A. A., Mangdow, M., Manjani, L., Manla, Y., Mannethodi, K., Mansoor, F., Mansourian, M., Mansournia, M., Herrera, A., Mantovani, L., Mao, C., Maqbool, T., Maqsood, S., Marateb, H., Maravilla, J. C., Margetis, K., Marino, M., Marques, A., Martin, R. V., Martinez, G., Martinez-Guerra, B., Martinez-Piedra, R., Martini, D., Martins-Melo, F., Martorell, M., Marz, W., Marzo, R., Marzouk, S., Masi, S., Matei, C. N., Mathangasinghe, Y., Mathieson, S., Mathioudakis, A. G., Mathur, M., Mathur, M., Matozinhos, F., Mattiello, R., Mattoo, K. A., Maude, R., Maulik, P. K., May, M. L., Mayeli, M., Mazaheri, M., Mazzotti, A., Mbachu, C., Mbachu, I., McKee, M., McLaughlin, S. A., McPhail, S. M., Mechili, E. A., Mediratta, R. P., Meena, J., Meftah, E., Mehari, M., Mehmood, A., Mehndiratta, M., Nasab, E., Mehta, K. M., Mehta, V., Mehto, S., Meier, T., Meto, T., Meles, H., Melese, E., Melwani, S., Memetova, A., Mendoza, W., Menezes, G., Menezes, R. G., Mengistie, B., Mengistie, E., Meo, S., Mercogliano, M., Meretoja, A., Meretoja, T. J., Mestrovic, T., Mettananda, C., Mettananda, S., Metwally, M. M. M., Mewton, L., Mhlanga, A., Michelerio, A., Nogueira de Sa, A., Mideksa, H., Miller, P., Miller, T. R., Minervini, G., Ming, W., Mini, G. K., Mirghafourvand, M., Mirrakhimov, E. M., Mirshahvalad, S., Mirutse, M., Mirzaei, Y., Mishra, A., Mishra, K., Mishra, V., Misra, A., Mitchell, P. B., Mithra, P., Mitra, S., Mittinty, M., Moazeni, M., Mobayen, M., Moberg, M. E., Modi, S., Mohamadkhani, A., Mohamed, J., Mohamed, M., Mohamed, N., Ahmed, K., Mohammad, T., Mohammad-Alizadeh-Charandabi, S., Mohammadi, A., Mohammadi, M., Mohammadi, S., Mohammadian-Hafshejani, A., Mohammadzadeh, I., Mohammadzadeh, R., Mohammed, A., Mohammed, H., Mohammed, O., Mohammed, S., Mohammed, S., Mohammed, Y., Mohan, S., Mohanta, Y., Mohseni, M., Mokari-Yamchi, A., Mokdad, A. H., Mokhirev, A., Mokhtarzadehazar, P., Molinaro, S., Mollaei, A., Momani, S., Monasta, L., Monazzami, A., Mondal, H., Mondello, S., Al Montasir, A., Moore, C. E., Moradi, Y., Moradi-Lakeh, M., Moraga, P., Morawska, L., Moreira, R., Morgan, B. W., Morovatdar, N., Morovvati, M., Morsy, M. M., Morze, J., Heris, R., Mosser, J. F., Motamedgorji, N., Mougin, V., Mouodi, S., Mousavi, A., Mousavi, S., Khaneghah, A., Kiasary, S., Mousnad, M., Movo, A., Mowafy, H., Yousefi, K., Mrejen, M., Msherghi, A., Mubarak, R., Mubarik, S., Mudgal, S. K., Muhammad, S., Muhtar, M., Mukherjee, S., Mukherjee, S., Mukhopadhyay, A., Mukhopadhyay, S., Muktadir, M. A., Mulatu, S., Mulita, F., Mulu, G., Mulugeta, C., Mulyadi, M., Muneer, M., Muniyandi, M., Munjal, K., Munkhsaikhan, Y., Munoz Laguna, J., Munshi, A., Muragundi, P., Murakami, M., Muse, Y., Mushtaq, A., Mustafa, G., Mustafa, S., Mustapha, M., Muthu, S., Muthupandian, S., Muvunyi, C., Muzaffar, M., Myung, W., Nabavi, A., Naddafi, F., Nagarajan, A., Nagaraju, S., Naghavi, M., Naghavi, P., Naik, G. R., Naik, G., Naik, H., Nainu, F., Nair, S., Najdaghi, S., Ansari, N., Nam, P., Nangia, V., Nansseu, J., Naqid, I. A., Nargus, S., Davani, D., Nartey, Y., Nascimento, B., Nascimento, G. G., Naser, A. Y., Naser, M., Nashwan, A. J., Nasiri, H., Nassar, M., Natto, Z. S., Nauman, J., Naureen, Z., Navaratna, S., Nawaz, A., Nawaz, M., Nayak, B., Nayak, S., Nazari, J., Nchanji, G., Ndejjo, R., Ndungu, A., Nega, A., Negash, A., Negoi, I., Negoi, R., Negru, A., Nejati, J., Nejjari, C., Nepal, S., Nesbit, O. D., Netsere, H., Newton, C., Ng, M., Nguefack-Tsague, G., Ngunjiri, J. W., Nguyen, A. H., Cuong Tat Nguyen, Huong Lan Thi Nguyen, Huong-Dung Thi Nguyen, Nghia Phu Nguyen, Phat Tuan Nguyen, The Phuong Nguyen, Trang Nguyen, Tu Anh Nguyen, Van Thanh Nguyen, Ngwa, A., Niazi, R., Nieddu, J., Nigatu, Y. T., Nikoobar, A., Ningrum, D., Niranjan, V., Nisro, A., Nkeck, J., Nkrumah-Boateng, P., Nnaji, C. A., Noman, E., Nomura, S., Noor, S., Noorafrooz, M., Noormohammadpour, P., Noreen, M., Noroozi, M., Noubiap, J., Noyes, T., Nriagu, V. C., Nri-Ezedi, C., Nshimiyimana, J., Nugen, F., Nugusa, A., Nunemo, M. H., Nur, A., Nurrika, D., Nyadanu, S., Nyande, F., Nzoputam, C., Nzoputam, O., Oancea, B., Obaido, G., O'Connell, E. M., Odama, A., Odat, R. M., Oddi, F., Odetokun, I. A., Odukoya, O., Oduro, J., Oduro, M., Oghenetega, O., Ogundijo, O., Ogunkoya, A., Oguta, J., Oh, D., Oh, S., O'Hagan, E. T., Okati-Aliabad, H., Okeke, S., Okeke-Obayemi, D., Okekunle, A., Okesanya, O., Okoli, O. A., Okonji, O., Okunlola, J., Okunlola, O., Olabisi, O., Olagunju, A. T., Olalusi, O., Olatubi, M., Oliveira, A., Oliveira, G., Olorukooba, A., Olson, E. J., Oludoye, O., Olum, R., Olusanya, B., Olusanya, J., Oluwole, O. G., Omage, F., Omar, H. A., Omer, G., Ong, Q., Onie, S., Onwujekwe, O. E., Opara, F., Opitz, M., Ordak, M., Orish, V. N., Ornello, R., Orscelik, A., Ortiz, A., Ortiz-Prado, E., Osborne, A., Osei, E., Ostroff, S. M., Ostrominski, J. W., Osuagwu, U., Osuolale, O., Otchere, G., Othman, E. H., Othman, M., Otoiu, A., Otorkpa, O., Oumer, A., Ouner, J., Ouyahia, A., Ouyang, G., Owolabi, M. O., Owusu, I., Oyebola, K., Oyelade, T., Oyeyemi, O. T., Ozsahin, I., Mahesh, P. A., Pacheco-Barrios, K., Padda, I., Padron-Monedero, A., Padubidri, J., Pak, A., Pal, P., Palicz, T., Palladino, R., Palma-Alvarez, R., Paluvai, T., Pan, F., Pan, H., Panahi, P., Panda, S., Panda-Jonas, S., Katare, D., Pang, K., Pangaribuan, H., Panos, G. D., Panos, L. D., Pantazopoulos, I., Paolino, G., Papa, M., Papadimopoulos, I., Papadopoulou, P., Parekh, U., Roudsari, P., Parida, A., Park, C., Park, E., Park, S., Parmar, A., Parve, S., Pashaei, A., Passera, R., Patel, B., Patel, H. M., Patel, M., Patel, N., Patel, S., Patil, A., Patil, S., Patoulias, D., Patra, A., Patwary, M., Paul, H., Pawar, S., Pawar, S., Toroudi, H., Peden, A. E., Pedersini, P., Pekarcikova, J., Pepito, V., Peprah, P., Perdigao, J., Pereira, G., Pereira, M., Perez-Lopez, P., Perico, N., Perna, S., Pesudovs, K., Petakh, P., Peter, O., Petermann-Rocha, F., Hoang Nhat Pham, Nhat Truong Pham, Tung Thanh Pham, Philip, A. K., Phillips, M. R., Phyo, Z., Pickering, B. V., Pigott, D. M., Pillay, J., Rocha, L., Piracha, Z., Piradov, M. A., Pirera, E., Pisoni, E., Plass, D., Plotnikov, E., Podder, I., Poddighe, D., Polibin, R. V., Pollner, P., Poluru, R., Avudaiappan, A., Pond, C., Ponkilainen, V. T., Popa, I., Popova, S., Popovic, D. S., Postma, M. J., Pourasghary, S., Pourbabaki, R., Pourghazi, F., Poursadeqiyan, M., Pourtaheri, N., Prabhu, A., Prada, S. I., Pradhan, J., Pradhan, P., Pradipta, R., Prakash, P., Prasad, C. P., Prashant, A., Prates, E., Priscilla, T., Pritchett, N., Priya, H., Purnobasuki, H., Purohit, B. M., Puvvula, J., Qasim, N., Qi, X., Qi, Z., Qiu, J., Quazi, Z., Qurashi, S., Deepthi, R., Rabiee, N., Rachmat, B., Radhakrishnan, R., Radhakrishnan, V., Radojcic, M. R., Shahraki, H., Rafique, I., Raghav, P., Raghuveer, P., Rahbarnia, L., Rahim, F., Rahim, H., Rahimi, S., Rahimi-Movaghar, A., Rahimi-Movaghar, V., Rahman, F., Rahman, M., Rahman, M., Rahman, M., Rahman, M., Rahman, M., Rahman, M., Rahmani, S., Rahmati, M., Rokni, G., Rahmoune, H., Rai, P., Raimondo, D., Raimondo, I., Raina, S., Raj, J., Raja, A., Raja, S., Rajaa, S., Rajabi, E., Firouzabadi, S., Rajendran, G., Rajendran, J., Rajendran, V., Rajindrajith, S., Rajizadeh, M., Rajput, P., Ramadan, M., Ramadan, M., Ramadhan, K., Ramasamy, C., Ramasamy, S., Ramazanu, S., Ramezani, Z., Farani, M., Ramteke, P. W., Rana, J., Rana, S., Ranabhat, C., Rancic, N., Rani, S., Noei, F., Rao, C. R., Rao, K., Rao, M., Rao, S. J., Rasella, D., Rashedi, V., Rashidi, M., Rasouli, M., Rasouli-Saravani, A., Rastogi, P., Rasul, A., Rathish, D., Rauf, A., Rauniyar, S., Rautalin, I., Ravangard, R., Ravi, D., Rawaf, D., Rawaf, S., Rawassizadeh, R., Rawat, R., Ray, A., Rayati, M., Razeghian, I., Razi, B., Razo, C., Recenti, F., Reddy, M., Redwan, E., Rege, S., Rehman, W., Reifels, L., Remuzzi, G., Ren, L., Renzaho, A. M. N., Resnikoff, S., Reyes, L., Rezaei, M., Rezaei, N., Rezaei, N., Rezaei, N., Rezaeian, M., Rhee, T., Riaz, M. A., Ribeiro, A. P., Rickard, J., Rizvi, M., Robinson-Oden, H., Rocha, H., Rocha-Gomes, J., Rodrigues, M., Roever, L., Rohloff, P., Rohmah, I., Rohr, S., Rojas-Rueda, D., Rolfzen, M. L., Romadlon, D., Romoli, M., Romozzi, M., Ronfani, L., Rosauer, J., Roshanshad, A., Rostamian, M., Roth, G. A., Rotimi, K., Rout, H., Rouzbahani, H., Rouzbahani, R., Rouzbahani, S., Roy, B., Roy, N., Roy, P., Roy, P., Roy, P., Roy, S., Roy, S., Chowdhury, S., Parthasarathy, P., Rubagotti, E., Ruela, G., Rumisha, S., Russo, M., Rwegerera, G., Manjula, S., Chandan, S. N., Saad, A. M. A., Eddin, A., Saadatian, Z., Saber-Ayad, M., Sabet, C., Sabour, S., Sadarangani, K. P., Rafiei, S., Saddik, B., Sadee, B., Sadegh, T., Sadeghi, E., Sadeghi, E., Sadeghi-Ghyassi, F., Saeed, M., Saeed, U., Saeedi, M., Safari, M., Safi, S., Safi, S., Sagar, R., Sagharichi, M., Sagoe, D., Saha, N., Sharif-Askari, F., Sharif-Askari, N., Sahebkar, A., Sahoo, P., Sahu, K., Said, M., Saif, Z., Sajadi, S., Sajib, M., Sajid, M., Saki, M., Salam, N., Salamati, P., Salaroli, L. B., Saleh, M. A., Salehi, L., Salehi, M., Salem, M., Salem, M. Z. Y., Salihu, D., Salimi, S., Sallam, M., Salum, G. A., Salvi, S., Kafil, H., Samaranayake, J., Sami, W., Samodra, Y., Samuel, V., Samy, A. M., Sangle, S. G., Sanjari, E., Sankar, S., Sanmarchi, F., Sanna, F., Santos, L. C., Santric-Milicevic, M. M., Jose, B., Sapkota, K., Saraswathy, S., Sarfo, J., Sarikhani, Y., Sarma, H., Sarmadi, M., Sarode, G., Sarode, S. C., Saroshe, S., Sassano, M., Sathian, B., Narayanan, M., Saunders, P. A., Far, M., Sawhney, M., Saxena, S., Saya, G., Sayeed, A., Saylan, M., Schinckus, C., Schneider, I., Schneider, R. D., Schuermans, A., Schumacher, A. E., Schwarz, G., Schwebel, D. C., Schwendicke, F., Schwinger, C., Sedigh, A., Sekaran, S., Sekerija, M., Selvamani, M., Selvaraj, V., Semenova, Y., Semreen, M. H., Sendeku, F., Senol, Y., Senthilkumaran, S., Sepanlou, S. G., Serban, A., Servan-Mori, E., Sethi, Y., Sewor, C., Alshohadaei, S., Seylani, A., Seymour, M., Shadid, J., Shah, N. S., Shah, S., Shaharudin, S., Shahbaz, M., Shahid, S., Shahid, S., Shahid, W., Shahini, E., Shahrahmani, F., Shahsavari, H. R., Shahwan, M., Shaikh, M., Shakeri, A., Shakerimoghaddam, A., Shalash, A. S., Sham, S., Shamim, M., Shams, F., Shams-Beyranvand, M., Shamshirgaran, M., Shamsi, A., Shamsutdinova, A., Shan, D., Shankar, A., Shannawaz, M., Shao, X., Sharifan, A., Rad, J., Sharma, A., Sharma, B., Sharma, B., Sharma, K., Sharma, M., Sharma, S., Sharma, U., Sharma, V., Shastry, R. P., Shastry, S., Shavandi, A., Shawahna, R., Shayan, M., Bappah, B., Sheidaei, A., Shenoy, S. M., Sherchan, S. P., Shetty, S. S., Shi, F., Shi, L., Shibani, M., Shibesh, B., Shibuya, K., Shiferaw, D., Shimul, M., Shin, J., Shin, M., Shiri, R., Shirkoohi, R., Shittu, A., Shitu, A., Shiue, I., Shivarov, V., Shlobin, N. A., Shojaei, S., Eshkiki, Z., Shokri, A., Shongwe, S., Shool, S., Shorofi, S., Shrestha, G., Shrestha, S., Shuval, K., Sibuyi, N., Siddig, E., Sidiq, M., Siegel, M., Silva, D., da Silva, G., Silva, J., Silva, J., Silva, L., de Leonardi, N., Simkhada, P., Singh, A., Singh, A., Singh, A., Singh, B., Singh, B., Singh, H., Singh, H., Singh, J., Singh, J. A., Singh, K., Singh, L., Singh, N., Singh, P., Singh, P., Singh, P., Singh, P., Singh, R. K., Singh, S., Singh, S., Singh, S., Sinha, M., Sinha, R., Sinto, R., Sirota, S., Skou, S. T., Sleet, D. A., Slepak, E. N., Sobia, F., Sohel, M., Sohrabi, S., Sokhal, B., Solanki, R., Solikhah, S., Soliman, S. S. M., Song, W., Song, Y., Sood, A., Sood, P., Soraneh, S., Sorensen, R. J. D., Soriano, J. B., Sorrentino, M., Sousa, F., Sousa, M., Soylu, C., Spartalis, M., Spearman, S., Sra, M., Sreeramareddy, C. T., Srichawla, B. S., Srinivasamurthy, S., Sriram, S., Stafford, L. K., Stanaway, J. D., Starodubova, A. V., Stefan, S., Stein, C., Stein, D. J., Steiner, C., Steiner, T. J., Steinmetz, J. D., Steiropoulos, P., Stevanovic, A., Stockfelt, L., Stovner, L., Straif, K., Stubbs, P., Su, Y., Subasi, O., Subedi, N., Suemoto, C., Suhag, A., Sui, L., Sukaew, T., Sulaiman, S., Suleiman, A., Odidi, M., Suleman, M., Sulistiyorini, D., Sullman, M. J. M., Meo, A., Sun, H., Sun, J., Sun, M., Sun, X., Sun, Z., Sun, Z., Sundaragiri, S., Sundaram, T., Sundstrom, J., Sunkersing, D., Sunny, S., Suresh, V., Swain, C., Swart, V. M., Syaiful, D., Szarpak, L., Szeto, M. D., Sree Sudha, T. Y., Damavandi, P., Tabares-Seisdedos, R., Tabatabaeizadeh, S., Tabatabai, S., Tabche, C., Tabibi, R., Tabish, M., Tadakamadla, J., Tadakamadla, S., Tafida, B., Taghizadeh-Hesary, F., Abkenar, Y., Soodejani, M., Taherkhani, A., Taiba, J., Tajabadi, S., Talaat, I. M., Talic, S., Talukder, B., Tampa, M., Tamuzi, J., Tan, J., Tan, K., Tanabayeva, S., Tang, H., Tantisattamo, E., Tarigan, I., Tariku, M., Tariq, S., Tariqujjaman, M., Tat, N. Y., Oliaee, R., Tavakoly, R., Tavangar, S., Tedla, M. G., Tefera, A., Teimoori, M., Temsah, M., Teply, C., Teramoto, M., Tesfaye, A., Tesfu, A., Tewari, J., Teymouri, A., Thaher, O., Thangaraju, P., Thankappan, K., Thapar, R., Tharwat, I., Tharwat, S., Theyra-Enias, H., Thind, M., Thirunavukarasu, A., Thiruvengadam, M., Thiruvengadam, R., Thiyagarajan, A., Thomas, N., Thota, G. P., Tian, W., Ticoalu, J., Tiruye, T., Tleshev, M., Tolani, M., Tomo, S., Tonelli, M., Topor-Madry, R., Torkashvand, A., Touvier, M., Tovani-Palone, M., Trabelsi, K., Traini, E., Mai Thi Ngoc Tran, Nghia Minh Tran, Ngoc Ha Tran, Quynh Thuy Huong Tran, Tam Quoc Minh Tran, Thang Huu Tran, Nguyen Tran Minh Duc, Trico, D., Trihandini, I., Tromans, S., Quynh Xuan Nguyen Truong, Thien Tan Tri Tai Truyen, Tsatsakis, A., Tse, G., Tsermpini, E., Car, L., Amirikah, M., Tumurkhuu, M., Tuo, Z., Tye, S., Udoakang, A., Ullah, A., Ullah, H., Ullah, I., Ullah, S., Umair, M., Umapathi, K., Umar, L., Umar, M., Umar, S., Underwood-Nakamura, A., Upadhya, D., Upadhyay, E., Uppal, D., Urso, D., Usman, J., Uzor, K., Ozsahin, D., Uzuncibuk, H., Vadagam, P., Vahdati, S., Vaithinathan, A., Vakili, O., Vakilian, A., Valdez, P. R., Valenti, M., Valizadeh, G., Van den Eynde, J., Van Der Walt, G., van Donkelaar, A., Varasteh, J., Varma, R., Vart, P., Vasankari, T., Vasishta, S., Vasudevan, S., Veginadu, P., Vella, A. S., Vellingiri, B., Venketasubramanian, N., Venkidasamy, B., Verma, M., Verma, P., Veroux, M., Verras, G., Vervoort, D., Vidale, S., Villa, S., Villafane, J., Villarreal-Zegarra, D., Violante, F. S., Vipparthy, S., Visontay, R., Vitorino, L., Vlassov, V., Vojtek, M., Vollset, S., Vongpradith, A., Vosoughi, M., Vounzoulaki, E., Vu, H., Vu, L., Waheed, Y., Wahidin, M., Walia, M., Wamai, A., Wan, J., Wang, C., Wang, F., Wang, L., Wang, L., Wang, R., Wang, S., Wang, S., Wang, W., Wang, X., Wang, X., Wang, Y., Wang, Y., Wang, Y., Wang, Z., Wani, T. A., Wanjau, M., Waqar, A., Waqas, M., Ward, P., Wassie, T., Weerakoon, K., Weerasekara, I., Wei, F., Wei, X., Weintraub, R. G., Weiss, D. J., Weiss, E. J., Wen, Y., Werdecker, A., Westerman, R., Whisnant, J. L., Whiteford, H. A., Wiangkham, T., Wibowo, Y., Wicaksana, A., Wickramasinghe, D., Wickramasinghe, N., Wiebe, S., Wilandika, A., Willeit, P., Wilson, S., Wireko, A., Wirtu, G., Wiysonge, C., Woday, A., Wojewodzic, M. W., Wolf, A., Wonde, T., Wondmeneh, Y., Worede, D., Worku, M., Worku, N., Wu, A., Wu, C., Wu, F., Wu, J., Wu, J., Wu, J., Wu, S., Wu, Z., Wubie, Y., Xia, Y., Xia, Z., Xiao, G., Xiao, H., Xiao, N., Xie, W., Xing, H., Xu, S., Xu, S., Xu, W., Xu, X., Xu, X., Yadav, M., Yadav, V., Yadollahi, M., Yaghoubi, S., Yahoo (Syed), S., Yahya, G., Yamagishi, K., Yan, G., Yang, H., Yang, W., Yang, X., Yano, Y., Yao, H., Yao, L., Yarahmadi, A., Yasin, H., Yassin, M. A., Yasufuku, Y., Yaya, S., Ye, P., Yeganeh, M., Yekdes, A., YektaKooshali, M., Yergaliyev, K. A., Yesodharan, R., Yesuf, S., Yezli, S., Yi, S., Yigezu, M., Yigzaw, Z., Yin, D., Yin, Y., Yip, P., Yismaw, M., Yismaw, Y., Yon, D., Yonemoto, N., Younis, M. Z., Yousuf, A., Yu, C., Yu, J., Yu, Y., Yuh, F. H., Yunus, G., Yunusa, U., Yusuf, A., Yuwanati, M., Zadey, S., Zadnik, V., Zafar, M., Zaghampour, M., Abidin, E., Zakham, F., Zaki, N., Zamagni, G., Zaman, B., Bin Zaman, S., Zamani, A., Zamora, N., Zanghi, A., Zar, H. J., Zarea, K., Zawiah, M., Zeariya, M. G. M., Zenebe, A., Zensen, S., Zeru, E. M., Zhan, T., Zhan, Y., Zhang, B., Zhang, C. J. P., Zhang, H., Zhang, J., Zhang, L., Zhang, M., Zhang, X., Zhang, Y., Zhang, Z., Zhao, J., Zhao, S., Zhao, Z., Zheng, J., Zheng, M., Zheng, P., Zhong, C., Zhou, J., Zhou, J., Zhou, M., Zhu, B., Zhu, Z., Zhumagaliuly, A., Zielinska, M., Liu Zihao, Zoghi, G., Zoromba, M., Zou, Z., Zrieq, R., Zuhlke, L. J., Zuhriyah, L., Zumla, A., Zyoud, A. H., Zyoud, S. H., Zyoud, S. H., Brauer, M., Vos, T., Murray, C. J. L., Gakidou, E. 2025; 406 (10513): 1873-1922

  Abstract

  For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions.The GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010-23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution.Total numbers of global DALYs grew 6·1% (95% UI 4·0-8·1), from 2·64 billion (2·46-2·86) in 2010 to 2·80 billion (2·57-3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0-14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31-1·61) global DALYs in 2010, increasing to 1·80 billion (1·63-2·03) in 2023, alongside a concurrent 4·1% (1·9-6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176-209] DALYs), stroke (157 million [141-172]), and diabetes (90·2 million [75·2-107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0-107·5]), depressive disorders (26·3% [11·6-42·9]), and diabetes (14·9% [7·5-25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837-917) in 2010 to 681 million (642-736) in 2023, and a 25·8% (22·6-28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7-61·0) for diarrhoeal diseases, 42·9% (38·0-48·0) for HIV/AIDS, and 42·2% (23·6-56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6-22·0) and 24·8% (7·4-36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7-19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18-1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation-with high SBP accounting for 8·4% (6·9-10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories-behavioural, metabolic, and environmental and occupational-risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8-37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0-11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023-eg, declining by 54·4% (38·7-65·3) for unsafe sanitation, 50·5% (33·3-63·1) for unsafe water source, and 45·2% (25·6-72·0) for no access to handwashing facility, and by 44·9% (37·3-53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [-2·7 to 15·6]; non-significant).Our findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors-eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG-including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic-the complex interaction of multiple health risks, social determinants, and systemic challenges-will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity.Gates Foundation and Bloomberg Philanthropies.

  View details for DOI 10.1016/S0140-6736(25)01637-X

  View details for Web of Science ID 001606031100001

  View details for PubMedID 41092926

  View details for PubMedCentralID PMC12535840

• Severity Indices of Diquat Poisoning for Triage and Prognosis in Acute Diquat Poisoning: A Multicenter Prospective Cohort Study. Annals of emergency medicine Ling, Y., Mao, Z., Liu, W., Zhou, C., Li, J., Jiang, L., Li, M., Zhao, H., Nie, S., Wu, C., Chen, J., Chen, Y., Bai, G., Ren, G., Xu, J., Zheng, Y., Chen, F., Zhang, J., Sun, H. 2025

  Abstract

  To enable emergency physicians to make well-informed triage and treatment decisions, accurate tools to evaluate the severity of diquat poisoning are needed. This study establishes severity indices for diquat poisoning (SIDPs) in assessing the risk of death for patients with acute diquat poisoning for triage purposes and 28-day mortality.This multicenter cohort study involved 204 patients. Predictors identified by the Burota algorithm and stepwise Cox regression were incorporated into Cox proportional hazards models to develop SIDPs, one for triage and one for prognosis (SIDP-T and SIDP-P, respectively). SIDP-T predictors were based on self-reported information at emergency department (ED) presentation, and SIDP-P predictors included additional biomarkers obtained in the ED. Models were developed using data from one hospital (n=106), followed by internal validation using bootstrapping and external validation using a data set (n=98) from 35 different hospitals.SIDP-T found age, estimated diquat amount, heart rate, and Glasgow Coma Scale score to be the key predictors, achieving a C-index of 0.79 (0.70, 0.88), positive predictive value of 0.86 (0.49, 0.99) and negative predictive value of 0.76 (0.66, 0.83) in external validation. SIDP-P included age, initial plasma diquat concentration, white blood cell count, and aspartate aminotransferase, with C-index of 0.82 (0.74, 0.90), positive predictive value of 1 (0.51, 1) and negative predictive value of 0.74 (0.65, 0.82) on the external validation set.Our derived severity indices can provide rapid mortality prediction. SIDP-T uses self-reported information and basic vital signs at ED admission, and SIDP-P adds biomarkers and accurately predicts 28-day outcome.

  View details for DOI 10.1016/j.annemergmed.2025.02.022

  View details for PubMedID 40202468

• Influence of the Enterovirus 71 Vaccine and the COVID-19 Pandemic on Hand, Foot, and Mouth Disease in China Based on Counterfactual Models: Observational Study. JMIR public health and surveillance Nie, J., Huang, T., Sun, Y., Peng, Z., Dong, W., Chen, J., Zheng, D., Guo, F., Shi, W., Ling, Y., Zhao, W., Yang, H., Shui, T., Yan, X. 2024; 10: e63146

  Abstract

  Hand, foot, and mouth disease (HFMD) is a highly contagious viral illness. Understanding the long-term trends of HFMD incidence and its epidemic characteristics under the circumstances of the enterovirus 71 (EV71) vaccination program and the outbreak of COVID-19 is crucial for effective disease surveillance and control.We aim to give an overview of the trends of HFMD over the past decades and evaluate the impact of the EV71 vaccination program and the COVID-19 pandemic on the epidemic trends of HFMD.Using official surveillance data from the Yunnan Province, China, we described long-term incidence trends and severity rates of HFMD as well as the variation of enterovirus proportions among cases. We conducted the autoregressive integrated moving average (ARIMA) of time series analyses to predict monthly incidences based on given subsets. The difference between the actual incidences and their counterfactual predictions was compared using absolute percentage errors (APEs) for periods after the EV71 vaccination program and the COVID-19 pandemic, respectively.The annual incidence of HFMD fluctuated between 25.62 cases per 100,000 people in 2008 and 221.52 cases per 100,000 people in 2018. The incidence for men ranged from 30 to 250 cases per 100,000 people from 2008 to 2021, which was constantly higher than that for women. The annual incidence for children aged 1 to 2 years old ranged from 54.54 to 630.06 cases per 100,000 people, which was persistently higher than that for other age groups. For monthly incidences, semiannual peaks were observed for each year. All actual monthly incidences of 2014 to 2015 fell within the predicted 95% CI by the ARIMA(1,0,1)(1,1,0)[12] model. The average APE was 19% for a 2-year prediction. After the EV71 vaccination program, the actual monthly incidence of HFMD was consistently lower than the counterfactual predictions by ARIMA(1,0,1)(1,1,0)[12], with negative APEs ranging from -11% to -229% from January 2017 to April 2018. In the meantime, the proportion of EV71 among the enteroviruses causing HFMD decreased significantly, and the proportion was highly correlated (r=0.73, P=.004) with the severity rate. After the onset of the COVID-19 pandemic in 2020, the actual monthly incidence of HFMD consistently maintained a lower magnitude compared to the counterfactual predictions-ARIMA(1,0,1)(0,1,0)[12]-from February to September 2020, with considerable negative APEs (ranging from -31% to -2248%).EV71 vaccination alleviated severe HFMD cases and altered epidemiological trends. The HFMD may also benefit from nonpharmaceutical interventions during outbreaks such as the COVID-19 pandemic. Further development of a multivalent virus vaccine is crucial for effectively controlling HFMD outbreaks. Policymakers should implement nonpharmaceutical interventions and emphasize personal hygiene for routine prevention when appropriate.

  View details for DOI 10.2196/63146

  View details for PubMedID 39692430

• Impact of an enhanced recovery after surgery program integrating cardiopulmonary rehabilitation on post-operative prognosis of patients treated with CABG: protocol of the ERAS-CaRe randomized controlled trial. BMC pulmonary medicine Yang, Q., Wang, L., Zhang, X., Lu, P., Pan, D., Li, S., Ling, Y., Zhi, X., Xia, L., Zhu, Y., Chen, Y., Liu, C., Jin, W., Reinhardt, J. D., Wang, X., Zheng, Y. 2024; 24 (1): 512

  Abstract

  Coronary artery bypass grafting is associated with a high occurrence of postoperative cardiopulmonary complications. Preliminary evidence suggested that enhanced recovery after surgery can effectively reduce the occurrence of postoperative cardiopulmonary complications. However, enhanced recovery after surgery with systematic integration of cardiopulmonary rehabilitation (ERAS-CaRe) into for Coronary artery bypass grafting has not been evaluated so far. We thus design the ERAS-CaRe randomized-controlled trial to evaluate possible superiority of embedding cardiopulmonary rehabilitation in ERAS over ERAS alone as well as to investigate effects of differential timing of cardiopulmonary rehabilitation within enhanced recovery after surgery (pre-, post-, perio-operative) on post-operative cardiopulmonary complications following Coronary artery bypass grafting surgery.ERAS-CaRe is a pragmatic, randomized-controlled, parallel four-arm, clinical trial. Three hundred sixty patients scheduled for Coronary artery bypass grafting in two Chinese hospitals will be grouped randomly into (i) Standard enhanced recovery after surgery or (ii) pre-operative ERAS-CaRe or (iii) post-operative ERAS-CaRe or (iv) perio-operative ERAS-CaRe. Primary outcome is the occurrence of cardiopulmonary complications at 10 days after Coronary artery bypass grafting. Secondary outcomes include the occurrence of other individual complications including cardiac, pulmonary, stroke, acute kidney injury, gastrointestinal event, ICU delirium rate, reintubation rate, early drainage tube removal rate, unplanned revascularization rate, all-cause mortality, ICU readmission rate, plasma concentration of myocardial infarction-related key biomarkers etc. DISCUSSION: The trial is designed to evaluate the hypothesis that a cardiopulmonary rehabilitation based enhanced recovery after surgery program reduces the occurrence of cardiopulmonary complications following Coronary artery bypass grafting and to determine optimal timing of cardiopulmonary rehabilitation within enhanced recovery after surgery. The project will contribute to increasing the currently limited knowledge base in the field as well as devising clinical recommendations.The trial was registered at the Chinese Clinical Trials Registry on 25 August 2023 (ChiCTR2300075125; date recorded: 25/8/2023, https://www.chictr.org.cn/ ).

  View details for DOI 10.1186/s12890-024-03286-1

  View details for PubMedID 39402537

  View details for PubMedCentralID PMC11476288

• Optimized air quality management based on air quality index prediction and air pollutants identification in representative cities in China. Scientific reports Guo, Z., Jing, X., Ling, Y., Yang, Y., Jing, N., Yuan, R., Liu, Y. 2024; 14 (1): 17923

  Abstract

  With the ongoing challenge of air pollution posing serious health and environmental threats, particularly in rapidly industrializing regions, accurate forecasting and effective pollutant identification are crucial for enhancing public health and ecological stability. This study aimed to optimize air quality management through the prediction of the Air Quality Index (AQI) and identification of air pollutants. Our study spans nine representative cities (Hohhot, Yinchuan, Lanzhou, Beijing, Taiyuan, Xi'an, Shanghai, Nanjing, Wuhan) in China, with data collected from January 1, 2015, to November 30, 2021. We proposed a new model for daily AQI prediction, termed VMD-CSA-CNN-LSTM, which employed advanced machine learning techniques, including convolutional neural networks (CNN) and long short-term memory (LSTM) networks, and leveraged the chameleon swarm algorithm (CSA) for hyperparameter optimization, integrated through a variational mode decomposition approach. The model was developed using data from Lanzhou, with a split ratio of 8:1:1 into training, validation, and test sets, achieving an RMSE of 2.25, MAPE of 0.02, adjusted R-squared of 98.91%, and training efficiency of 5.31%. The model was further externally validated in the other eight cities, yielding comparable results, with an adjusted R-squared above 96%, MAPE below 0.1, and RMSE below 7.5. Additionally, we employed a random forest algorithm to identify the primary pollutants contributing to AQI levels. Our results indicated that PM2.5 was the most significant pollutant in Beijing, Taiyuan, and Xi'an, while PM10 was dominant in Hohhot, Yinchuan, and Lanzhou. In Shanghai, Nanjing, and Wuhan, both PM2.5 and PM10 were critical, with ozone also identified as a major air pollutant. This study not only advances the predictive accuracy of AQI models but also aids policymakers by providing a reliable tool for air quality management and strategic planning aimed at pollution reduction. The integration of these advanced computational techniques into environmental monitoring practices offers a promising avenue for enhancing air quality and mitigating pollution-related risks.

  View details for DOI 10.1038/s41598-024-68972-w

  View details for PubMedID 39095454

• Trajectories of cognitive function among people aged 45 years and older living with diabetes in China: Results from a nationally representative longitudinal study (2011~2018). PloS one Chen, S., Ling, Y., Zhou, F., Qiao, X., Reinhardt, J. D. 2024; 19 (5): e0299316

  Abstract

  Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes.Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression.Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories.We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors.

  View details for DOI 10.1371/journal.pone.0299316

  View details for PubMedID 38787866

• Portfolio Optimization Model for Gold and Bitcoin Based on Weighted Unidirectional Dual-Layer LSTM Model and SMA-Slope Strategy COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE Xue, Q., Ling, Y., Tian, B. 2022; 2022: 1869897

  Abstract

  Portfolio optimization is one of the most complex problems in the financial field, and technical analysis is a popular tool to find an optimal solution that maximizes the yields. This paper establishes a portfolio optimization model consisting of a weighted unidirectional dual-layer LSTM model and an SMA-slope strategy. The weighted unidirectional dual-layer LSTM model is developed to predict the daily prices of gold/Bitcoin, which addresses the traditional problem of prediction lag. Based on the predicted prices and comparison of two representative investment strategies, simple moving average (SMA) and Bollinger bands (BB), this paper adopts a new investment strategy, SMA-slope strategy, which introduces the concept of k-slope to measure the daily ups and downs of gold/Bitcoin. As two typical financial products, gold and Bitcoin are opposite in terms of their characteristics, which may represent many existing financial products in investors' portfolios. With a principle of $1000, this paper conducts a five-year simulation of gold and Bitcoin trading from 11 September 2016 to 10 September 2021. To compensate for the SMA and BB that may miss buying and selling points, 4 different parameters' values in the k-slope are obtained through particle swarm optimization simulation. Also, the simulation results imply that the proposed portfolio optimization model contributes to helping investors make investment decisions with high profitability.

  View details for DOI 10.1155/2022/1869897

  View details for Web of Science ID 000815095300017

  View details for PubMedID 35720924

  View details for PubMedCentralID PMC9200532