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Mehrabi Nasab E, Sadeghian S, Vasheghani Farahani A, Yamini Sharif A, Masoud Kabir F, Bavanpour Karvane H, Zahedi A, Bozorgi A. Determining the recurrence rate of premature ventricular complexes and idiopathic ventricular tachycardia after radiofrequency catheter ablation with the help of designing a machine-learning model. Regen Ther 2024; 27:32-38. [PMID: 38496010 PMCID: PMC10940794 DOI: 10.1016/j.reth.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 02/28/2024] [Accepted: 03/03/2024] [Indexed: 03/19/2024] Open
Abstract
Ventricular arrhythmias increase cardiovascular morbidity and mortality. Recurrent PVCs and IVT are generally considered benign in the absence of structural heart abnormalities. Artificial intelligence is a rapidly growing field. In recent years, medical professionals have shown great interest in the potential use of ML, an integral part of AI, in various disciplines, including diagnostic applications, decision-making, prognostic stratification, and solving complex pathophysiological aspects of diseases from these data at extraordinary complexity, scale, and acquisition rate. The aim of this study was to design an ML model to predict the probability of PVC and IVT recurrence after RF ablation. Data of patients were collected and manipulated using traditional analysis and various artificial intelligence models, namely MLP, Gradient Boosting Machines, Random Forest, and Logistic Regression. Hypertension, male sex, and the use of non-irrigate catheters were associated with less freedom from arrhythmia. All these results were obtained through traditional analytic methods, and according to AI, none of the variables had a clear effect on the recurrence of arrhythmia. Each AI model presents unique strengths and weaknesses, and further optimization and fine-tuning of these models are necessary to increase their clinical utility. By expanding the dataset, improved predictions can be fostered to ultimately increase the clinical utility of AI in predicting PVC erosion outcomes.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Cardiology, School of Medicine, Valiasr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Saeed Sadeghian
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Vasheghani Farahani
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Yamini Sharif
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Masoud Kabir
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Ahora Zahedi
- Department of Artificial Intelligence in Medical Sciences, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Bozorgi
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
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Avan A, Feigin VL, Bennett DA, Steinmetz JD, Hachinski V, Stranges S, Owolabi MO, Aali A, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abd-Allah F, Abdollahzade S, Abidi H, Abolhassani H, Abualhasan A, Abu-Gharbieh E, Abu-Rmeileh NME, Abu-Zaid A, Ahmad A, Ahmadi S, Ahmed LA, Ajami M, Al Hamad H, Alanezi FM, Alanzi TM, Alimohamadi Y, Aljunid SM, Al-Raddadi RM, Amiri S, Arabloo J, Arulappan J, Arumugam A, Asadi-Pooya AA, Athar M, Athari SS, Atout MMW, Azadnajafabad S, Azangou-Khyavy M, Azari Jafari A, Azzam AY, Baghcheghi N, Bagherieh S, Baltatu OC, Bazmandegan G, Bhojaraja VS, Bijani A, Bitaraf S, Calina D, Darwish AH, Djalalinia S, Doheim MF, Dorostkar F, Eini E, El Nahas N, El Sayed I, Elhadi M, Elmonem MA, Eskandarieh S, Faghani S, Fallahzadeh A, Farahmand M, Ghafourifard M, Ghamari SH, Gholami A, Ghozy S, Goleij P, Hadei M, Hafezi-Nejad N, Haj-Mirzaian A, Halwani R, Hamidi S, Hasaballah AI, Hassan A, Hedna K, Hegazy MI, Heidari-Soureshjani R, Hosseini MS, Hoveidamanesh S, Jahrami H, Jamshidi E, Javaheri T, Jayapal SK, Kalankesh LR, Kalhor R, Kamiab Z, Keykhaei M, Khader YS, Khan M, Khan MAB, Khatatbeh, Khayat Kashani HR, Khosravi A, Kompani F, Koohestani HR, Larijani B, Lasrado S, Magdy Abd El Razek M, Malekpour MR, Malik AA, Mansournia MA, Mardi P, Maroufi SF, Masoudi S, Mayeli M, Mehrabi Nasab E, Menezes RG, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mobarakabadi M, Mohammadi E, Mohammadi S, Mohan S, Mokdad AH, Momtazmanesh S, Montazeri F, Moradi Sarabi M, Moraga P, Morovatdar N, Motaghinejad M, Naghavi M, Natto ZS, Nejadghaderi SA, Noroozi N, Okati-Aliabad H, Pazoki Toroudi H, Perna S, Piradov MA, Pourahmadi M, Rafiei A, Rahimi-Movaghar V, Rahmani AM, Rahmani S, Rahmanian V, Rajabpour-Sanati A, Rao CR, Rashidi MM, Rawassizadeh R, Razeghian-Jahromi I, Redwan EMM, Rezaee M, Rezaei N, Rezaei N, Rezaei N, Rezaeian M, Rikhtegar R, Saad AMA, Saddik B, Sadeghi M, Sadeghian S, Saeedi Moghaddam S, Sahebkar A, Salahi S, Salahi S, Samy AM, Sanadgol N, Sarveazad A, Sathian B, Saylan M, Shahbandi A, Shahrokhi S, Shams-Beyranvand M, Shanawaz M, Sharifi-Rad J, Sheikhi RA, Shetty JK, Shobeiri P, Shorofi SA, Siabani S, Tabatabaei SM, Taheri Abkenar Y, Taheri Soodejani M, Temsah MH, Vakilian A, Valadan Tahbaz S, Valizadeh R, Vaziri S, Vo B, Yahyazadeh Jabbari SH, Yesiltepe M, Zaki N, Zare I, Zare Dehnavi A, Zoladl M. The burden of neurological conditions in north Africa and the Middle East, 1990-2019: a systematic analysis of the Global Burden of Disease Study 2019. Lancet Glob Health 2024; 12:e960-e982. [PMID: 38604203 PMCID: PMC11099299 DOI: 10.1016/s2214-109x(24)00093-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 01/25/2024] [Accepted: 02/22/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND The burden of neurological conditions in north Africa and the Middle East is increasing. We aimed to assess the changes in the burden of neurological conditions in this super-region to aid with future decision making. METHODS In this analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 data, we examined temporal trends of disability-adjusted life-years (DALYs; deaths and disabilities combined), deaths, incident cases, and prevalent cases of 14 major neurological conditions and eight subtypes in 21 countries in the north Africa and the Middle East super-region. Additionally, we assessed neurological DALYs due to 22 potentially modifiable risk factors, within four levels of classification, during the period 1990-2019. We used a Bayesian modelling estimation approach, and generated 95% uncertainty intervals (UIs) for final estimates on the basis of the 2·5th and 97·5th percentiles of 1000 draws from the posterior distribution. FINDINGS In 2019, there were 441·1 thousand (95% UI 347·2-598·4) deaths and 17·6 million (12·5-24·7) neurological DALYs in north Africa and the Middle East. The leading causes of neurological DALYs were stroke, migraine, and Alzheimer's disease and other dementias (hereafter dementias). In north Africa and the Middle East in 2019, 85·8% (82·6-89·1) of stroke and 39·9% (26·4-54·7) of dementia age-standardised DALYs were attributable to modifiable risk factors. North Africa and the Middle East had the highest age-standardised DALY rates per 100 000 population due to dementia (387·0 [172·0-848·5]), Parkinson's disease (84·4 [74·7-103·2]), and migraine (601·4 [107·0-1371·8]) among the global super-regions. Between 1990 and 2019, there was a decrease in the age-standardised DALY rates related to meningitis (-75·8% [-81·1 to -69·5]), tetanus (-88·2% [-93·9 to -76·1]), stroke (-32·0% [-39·1 to -23·3]), intracerebral haemorrhage (-51·7% [-58·2 to -43·8]), idiopathic epilepsy (-26·2% [-43·6 to -1·1]), and subarachnoid haemorrhage (-62·8% [-71·6 to -41·0]), but for all other neurological conditions there was no change. During 1990-2019, the number of DALYs due to dementias, Parkinson's disease, multiple sclerosis, ischaemic stroke, and headache disorder (ie, migraine and tension-type headache) more than doubled in the super-region, and the burden of years lived with disability (YLDs), incidence, and prevalence of multiple sclerosis, motor neuron disease, Parkinson's disease, and ischaemic stroke increased both in age-standardised rate and count. During this period, the absolute burden of YLDs due to head and spinal injuries almost doubled. INTERPRETATION The increasing burden of neurological conditions in north Africa and the Middle East accompanies the increasing ageing population. Stroke and dementia are the primary causes of neurological disability and death, primarily attributable to common modifiable risk factors. Synergistic, systematic, lifetime, and multi-sectoral interventions aimed at preventing or mitigating the burden are needed. FUNDING Bill & Melinda Gates Foundation. TRANSLATIONS For the Persian, Arabic and Turkish translations of the abstract see Supplementary Materials section.
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Naghavi M, Ong KL, Aali A, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbasi-Kangevari M, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdelwahab A, Abdollahi M, Abdollahifar MA, Abdoun M, Abdulah DM, Abdullahi A, Abebe M, Abebe SS, Abedi A, Abegaz KH, Abhilash ES, Abidi H, Abiodun O, Aboagye RG, Abolhassani H, Abolmaali M, Abouzid M, Aboye GB, Abreu LG, Abrha WA, Abtahi D, Abu Rumeileh S, Abualruz H, Abubakar B, Abu-Gharbieh E, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Accrombessi MMK, Adal TG, Adamu AA, Addo IY, Addolorato G, Adebiyi AO, Adekanmbi V, Adepoju AV, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adeyinka DA, Adeyomoye OI, Admass BAA, Adnani QES, Adra S, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Agasthi P, Aggarwal M, Aghamiri S, Agide FD, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmad T, Ahmadi K, Ahmadzade AM, Ahmed A, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed MB, Ahmed SA, Ajami M, Aji B, Akara EM, Akbarialiabad H, Akinosoglou K, Akinyemiju T, Akkaif MA, Akyirem S, Al Hamad H, Al Hasan SM, Alahdab F, Alalalmeh SO, Alalwan TA, Al-Aly Z, Alam K, Alam M, Alam N, Al-amer RM, Alanezi FM, Alanzi TM, Al-Azzam S, Albakri A, Albashtawy M, AlBataineh MT, Alcalde-Rabanal JE, Aldawsari KA, Aldhaleei WA, Aldridge RW, Alema HB, Alemayohu MA, Alemi S, Alemu YM, Al-Gheethi AAS, Alhabib KF, Alhalaiqa FAN, Al-Hanawi MK, Ali A, Ali A, Ali L, Ali MU, Ali R, Ali S, Ali SSS, Alicandro G, Alif SM, Alikhani R, Alimohamadi Y, Aliyi AA, Aljasir MAM, Aljunid SM, Alla F, Allebeck P, Al-Marwani S, Al-Maweri SAA, Almazan JU, Al-Mekhlafi HM, Almidani L, Almidani O, Alomari MA, Al-Omari B, Alonso J, Alqahtani JS, Alqalyoobi S, Alqutaibi AY, Al-Sabah SK, Altaany Z, Altaf A, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Alwafi H, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Amani R, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Amusa GA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Andrei T, Angus C, Anil A, Anil S, Anoushiravani A, Ansari H, Ansariadi A, Ansari-Moghaddam A, Antony CM, Antriyandarti E, Anvari D, Anvari S, Anwar S, Anwar SL, Anwer R, Anyasodor AE, Aqeel M, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Aremu A, Aremu O, Ariffin H, Arkew M, Armocida B, Arndt MB, Ärnlöv J, Arooj M, Artamonov AA, Arulappan J, Aruleba RT, Arumugam A, Asaad M, Asadi-Lari M, Asgedom AA, Asghariahmadabad M, Asghari-Jafarabadi M, Ashraf M, Aslani A, Astell-Burt T, Athar M, Athari SS, Atinafu BTT, Atlaw HW, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awedew AF, Aweke AM, Ayala Quintanilla BP, Ayatollahi H, Ayuso-Mateos JL, Ayyoubzadeh SM, Azadnajafabad S, Azevedo RMS, Azzam AY, B DB, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bagherieh S, Bah S, Bahadorikhalili S, Bahmanziari N, Bai R, Baig AA, Baker JL, Bako AT, Bakshi RK, Balakrishnan S, Balasubramanian M, Baltatu OC, Bam K, Banach M, Bandyopadhyay S, Banik PC, Bansal H, Bansal K, Barbic F, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Bärnighausen TW, Barone-Adesi F, Barqawi HJ, Barrero LH, Barrow A, Barteit S, Barua L, Basharat Z, Bashiri A, Basiru A, Baskaran P, Basnyat B, Bassat Q, Basso JD, Basting AVL, Basu S, Batra K, Baune BT, Bayati M, Bayileyegn NS, Beaney T, Bedi N, Beghi M, Behboudi E, Behera P, Behnoush AH, Behzadifar M, Beiranvand M, Bejarano Ramirez DF, Béjot Y, Belay SA, Belete CM, Bell ML, Bello MB, Bello OO, Belo L, Beloukas A, Bender RG, Bensenor IM, Beran A, Berezvai Z, Berhie AY, Berice BN, Bernstein RS, Bertolacci GJ, Bettencourt PJG, Beyene KA, Bhagat DS, Bhagavathula AS, Bhala N, Bhalla A, Bhandari D, Bhangdia K, Bhardwaj N, Bhardwaj P, Bhardwaj PV, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bisulli F, Biswas A, Biswas B, Bitaraf S, Bitew BD, Bitra VR, Bjørge T, Boachie MK, Boampong MS, Bobirca AV, Bodolica V, Bodunrin AO, Bogale EK, Bogale KA, Bohlouli S, Bolarinwa OA, Boloor A, Bonakdar Hashemi M, Bonny A, Bora K, Bora Basara B, Borhany H, Borzutzky A, Bouaoud S, Boustany A, Boxe C, Boyko EJ, Brady OJ, Braithwaite D, Brant LC, Brauer M, Brazinova A, Brazo-Sayavera J, Breitborde NJK, Breitner S, Brenner H, Briko AN, Briko NI, Britton G, Brown J, Brugha T, Bulamu NB, Bulto LN, Buonsenso D, Burns RA, Busse R, Bustanji Y, Butt NS, Butt ZA, Caetano dos Santos FL, Calina D, Cámera LA, Campos LA, Campos-Nonato IR, Cao C, Cao Y, Capodici A, Cárdenas R, Carr S, Carreras G, Carrero JJ, Carugno A, Carvalheiro CG, Carvalho F, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catalá-López F, Catapano AL, Cattaruzza MS, Cederroth CR, Cegolon L, Cembranel F, Cenderadewi M, Cercy KM, Cerin E, Cevik M, Chadwick J, Chahine Y, Chakraborty C, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Chang CK, Chang JC, Chanie GS, Charalampous P, Chattu VK, Chaturvedi P, Chatzimavridou-Grigoriadou V, Chaurasia A, Chen AW, Chen AT, Chen CS, Chen H, Chen MX, Chen S, Cheng CY, Cheng ETW, Cherbuin N, Cheru WA, Chien JH, Chimed-Ochir O, Chimoriya R, Ching PR, Chirinos-Caceres JL, Chitheer A, Cho WCS, Chong B, Chopra H, Choudhari SG, Chowdhury R, Christopher DJ, Chukwu IS, Chung E, Chung E, Chung E, Chung SC, Chutiyami M, Cindi Z, Cioffi I, Claassens MM, Claro RM, Coberly K, Cogen RM, Columbus A, Comfort H, Conde J, Cortese S, Cortesi PA, Costa VM, Costanzo S, Cousin E, Couto RAS, Cowden RG, Cramer KM, Criqui MH, Cruz-Martins N, Cuadra-Hernández SM, Culbreth GT, Cullen P, Cunningham M, Curado MP, Dadana S, Dadras O, Dai S, Dai X, Dai Z, Dalli LL, Damiani G, Darega Gela J, Das JK, Das S, Das S, Dascalu AM, Dash NR, Dashti M, Dastiridou A, Davey G, Dávila-Cervantes CA, Davis Weaver N, Davletov K, De Leo D, de Luca K, Debele AT, Debopadhaya S, Degenhardt L, Dehghan A, Deitesfeld L, Del Bo' C, Delgado-Enciso I, Demessa BH, Demetriades AK, Deng K, Deng X, Denova-Gutiérrez E, Deravi N, Dereje N, Dervenis N, Dervišević E, Des Jarlais DC, Desai HD, Desai R, Devanbu VGC, Dewan SMR, Dhali A, Dhama K, Dhimal M, Dhingra S, Dhulipala VR, Dias da Silva D, Diaz D, Diaz MJ, Dima A, Ding DD, Ding H, Dinis-Oliveira RJ, Dirac MA, Djalalinia S, Do THP, do Prado CB, Doaei S, Dodangeh M, Dodangeh M, Dohare S, Dokova KG, Dolecek C, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorostkar F, Dorsey ER, dos Santos WM, Doshi R, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Du M, Dube J, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dwyer-Lindgren L, Dzianach PA, Dziedzic AM, E'mar AR, Eboreime E, Ebrahimi A, Echieh CP, Edinur HA, Edvardsson D, Edvardsson K, Efendi D, Efendi F, Effendi DE, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, Elbarazi I, Elema TB, Elemam NM, Elgar FJ, Elgendy IY, ElGohary GMT, Elhabashy HR, Elhadi M, El-Huneidi W, Elilo LT, Elmeligy OAA, Elmonem MA, Elshaer M, Elsohaby I, Emeto TI, Engelbert Bain L, Erkhembayar R, Esezobor CI, Eshrati B, Eskandarieh S, Espinosa-Montero J, Esubalew H, Etaee F, Fabin N, Fadaka AO, Fagbamigbe AF, Fahim A, Fahimi S, Fakhri-Demeshghieh A, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faris PS, Faro A, Fasanmi AO, Fatehizadeh A, Fattahi H, Fauk NK, Fazeli P, Feigin VL, Feizkhah A, Fekadu G, Feng X, Fereshtehnejad SM, Feroze AH, Ferrante D, Ferrari AJ, Ferreira N, Fetensa G, Feyisa BR, Filip I, Fischer F, Flavel J, Flood D, Florin BT, Foigt NA, Folayan MO, Fomenkov AA, Foroutan B, Foroutan M, Forthun I, Fortuna D, Foschi M, Fowobaje KR, Francis KL, Franklin RC, Freitas A, Friedman J, Friedman SD, Fukumoto T, Fuller JE, Fux B, Gaal PA, Gadanya MA, Gaidhane AM, Gaihre S, Gakidou E, Galali Y, Galles NC, Gallus S, Ganbat M, Gandhi AP, Ganesan B, Ganiyani MA, Garcia-Gordillo MA, Gardner WM, Garg J, Garg N, Gautam RK, Gbadamosi SO, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremeskel TG, Georgescu SR, Getachew T, Gething PW, Getie M, Ghadiri K, Ghahramani S, Ghailan KY, Ghasemi MR, Ghasempour Dabaghi G, Ghasemzadeh A, Ghashghaee A, Ghassemi F, Ghazy RM, Ghimire A, Ghoba S, Gholamalizadeh M, Gholamian A, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Ginindza TG, Girmay A, Glasbey JC, Gnedovskaya EV, Göbölös L, Godinho MA, Goel A, Golchin A, Goldust M, Golechha M, Goleij P, Gomes NGM, Gona PN, Gopalani SV, Gorini G, Goudarzi H, Goulart AC, Goulart BNG, Goyal A, Grada A, Graham SM, Grivna M, Grosso G, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Guimarães RA, Gulati S, Gunawardane DA, Gunturu S, Guo C, Gupta AK, Gupta B, Gupta MK, Gupta M, Gupta RD, Gupta R, Gupta S, Gupta VB, Gupta VK, Gupta VK, Gurmessa L, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadei M, Hadi NR, Haep N, Hafezi-Nejad N, Hailu A, Haj-Mirzaian A, Halboub ES, Hall BJ, Haller S, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hamilton EB, Han C, Han Q, Hanif A, Hanifi N, Hankey GJ, Hanna F, Hannan MA, Haque MN, Harapan H, Hargono A, Haro JM, Hasaballah AI, Hasan I, Hasan MT, Hasani H, Hasanian M, Hashi A, Hasnain MS, Hassan I, Hassanipour S, Hassankhani H, Haubold J, Havmoeller RJ, Hay SI, He J, Hebert JJ, Hegazi OE, Heidari G, Heidari M, Heidari-Foroozan M, Helfer B, Hendrie D, Herrera-Serna BY, Herteliu C, Hesami H, Hezam K, Hill CL, Hiraike Y, Holla R, Horita N, Hossain MM, Hossain S, Hosseini MS, Hosseinzadeh H, Hosseinzadeh M, Hosseinzadeh Adli A, Hostiuc M, Hostiuc S, Hsairi M, Hsieh VCR, Hsu RL, Hu C, Huang J, Hultström M, Humayun A, Hundie TG, Hussain J, Hussain MA, Hussein NR, Hussien FM, Huynh HH, Hwang BF, Ibitoye SE, Ibrahim KS, Iftikhar PM, Ijo D, Ikiroma AI, Ikuta KS, Ikwegbue PC, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Inamdar S, Indriasih E, Iqhrammullah M, Iradukunda A, Iregbu KC, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Iso H, Isola G, Iwagami M, Iwu CCD, Iyamu IO, Iyer M, J LM, Jaafari J, Jacob L, Jacobsen KH, 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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2100-2132. [PMID: 38582094 DOI: 10.1016/s0140-6736(24)00367-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/15/2024] [Accepted: 02/22/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation.
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Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2057-2099. [PMID: 38521087 DOI: 10.1016/s0140-6736(24)00550-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/28/2023] [Accepted: 03/15/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Accurate assessments of current and future fertility-including overall trends and changing population age structures across countries and regions-are essential to help plan for the profound social, economic, environmental, and geopolitical challenges that these changes will bring. Estimates and projections of fertility are necessary to inform policies involving resource and health-care needs, labour supply, education, gender equality, and family planning and support. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. METHODS To estimate fertility indicators from 1950 to 2021, mixed-effects regression models and spatiotemporal Gaussian process regression were used to synthesise data from 8709 country-years of vital and sample registrations, 1455 surveys and censuses, and 150 other sources, and to generate age-specific fertility rates (ASFRs) for 5-year age groups from age 10 years to 54 years. ASFRs were summed across age groups to produce estimates of total fertility rate (TFR). Livebirths were calculated by multiplying ASFR and age-specific female population, then summing across ages 10-54 years. To forecast future fertility up to 2100, our Institute for Health Metrics and Evaluation (IHME) forecasting model was based on projections of completed cohort fertility at age 50 years (CCF50; the average number of children born over time to females from a specified birth cohort), which yields more stable and accurate measures of fertility than directly modelling TFR. CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression-Bayesian, regularised, trimmed) tool. To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. CCF50 as a proportion of each 5-year ASFR was predicted using a linear mixed-effects model with fixed-effects covariates (female educational attainment and contraceptive met need) and random intercepts for geographical regions. Projected TFRs were then computed for each calendar year as the sum of single-year ASFRs across age groups. The reference forecast is our estimate of the most likely fertility future given the model, past fertility, forecasts of covariates, and historical relationships between covariates and fertility. We additionally produced forecasts for multiple alternative scenarios in each location: the UN Sustainable Development Goal (SDG) for education is achieved by 2030; the contraceptive met need SDG is achieved by 2030; pro-natal policies are enacted to create supportive environments for those who give birth; and the previous three scenarios combined. Uncertainty from past data inputs and model estimation was propagated throughout analyses by taking 1000 draws for past and present fertility estimates and 500 draws for future forecasts from the estimated distribution for each metric, with 95% uncertainty intervals (UIs) given as the 2·5 and 97·5 percentiles of the draws. To evaluate the forecasting performance of our model and others, we computed skill values-a metric assessing gain in forecasting accuracy-by comparing predicted versus observed ASFRs from the past 15 years (2007-21). A positive skill metric indicates that the model being evaluated performs better than the baseline model (here, a simplified model holding 2007 values constant in the future), and a negative metric indicates that the evaluated model performs worse than baseline. FINDINGS During the period from 1950 to 2021, global TFR more than halved, from 4·84 (95% UI 4·63-5·06) to 2·23 (2·09-2·38). Global annual livebirths peaked in 2016 at 142 million (95% UI 137-147), declining to 129 million (121-138) in 2021. Fertility rates declined in all countries and territories since 1950, with TFR remaining above 2·1-canonically considered replacement-level fertility-in 94 (46·1%) countries and territories in 2021. This included 44 of 46 countries in sub-Saharan Africa, which was the super-region with the largest share of livebirths in 2021 (29·2% [28·7-29·6]). 47 countries and territories in which lowest estimated fertility between 1950 and 2021 was below replacement experienced one or more subsequent years with higher fertility; only three of these locations rebounded above replacement levels. Future fertility rates were projected to continue to decline worldwide, reaching a global TFR of 1·83 (1·59-2·08) in 2050 and 1·59 (1·25-1·96) in 2100 under the reference scenario. The number of countries and territories with fertility rates remaining above replacement was forecast to be 49 (24·0%) in 2050 and only six (2·9%) in 2100, with three of these six countries included in the 2021 World Bank-defined low-income group, all located in the GBD super-region of sub-Saharan Africa. The proportion of livebirths occurring in sub-Saharan Africa was forecast to increase to more than half of the world's livebirths in 2100, to 41·3% (39·6-43·1) in 2050 and 54·3% (47·1-59·5) in 2100. The share of livebirths was projected to decline between 2021 and 2100 in most of the six other super-regions-decreasing, for example, in south Asia from 24·8% (23·7-25·8) in 2021 to 16·7% (14·3-19·1) in 2050 and 7·1% (4·4-10·1) in 2100-but was forecast to increase modestly in the north Africa and Middle East and high-income super-regions. Forecast estimates for the alternative combined scenario suggest that meeting SDG targets for education and contraceptive met need, as well as implementing pro-natal policies, would result in global TFRs of 1·65 (1·40-1·92) in 2050 and 1·62 (1·35-1·95) in 2100. The forecasting skill metric values for the IHME model were positive across all age groups, indicating that the model is better than the constant prediction. INTERPRETATION Fertility is declining globally, with rates in more than half of all countries and territories in 2021 below replacement level. Trends since 2000 show considerable heterogeneity in the steepness of declines, and only a small number of countries experienced even a slight fertility rebound after their lowest observed rate, with none reaching replacement level. Additionally, the distribution of livebirths across the globe is shifting, with a greater proportion occurring in the lowest-income countries. Future fertility rates will continue to decline worldwide and will remain low even under successful implementation of pro-natal policies. These changes will have far-reaching economic and societal consequences due to ageing populations and declining workforces in higher-income countries, combined with an increasing share of livebirths among the already poorest regions of the world. FUNDING Bill & Melinda Gates Foundation.
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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. Lancet 2024; 403:2133-2161. [PMID: 38642570 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 DOI: 10.1016/s0140-6736(24)00933-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:1989-2056. [PMID: 38484753 DOI: 10.1016/s0140-6736(24)00476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/08/2023] [Accepted: 03/06/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020-21 COVID-19 pandemic period. METHODS 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. FINDINGS Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5-65·1] decline), and increased during the COVID-19 pandemic period (2020-21; 5·1% [0·9-9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98-5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50-6·01) in 2019. An estimated 131 million (126-137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7-17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8-24·8), from 49·0 years (46·7-51·3) to 71·7 years (70·9-72·5). Global life expectancy at birth declined by 1·6 years (1·0-2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67-8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4-52·7]) and south Asia (26·3% [9·0-44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. INTERPRETATION Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic. FUNDING Bill & Melinda Gates Foundation.
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8
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Athari SS, Mehrabi Nasab E, Jing K, Wang J. Interaction between cardiac resynchronization therapy and cytokines in heart failure patients. Cytokine 2024; 175:156479. [PMID: 38199086 DOI: 10.1016/j.cyto.2023.156479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024]
Abstract
Congestive heart failure (CHF) is a complex multistage syndrome that has a great financial burden on human societies. It was known that the damaged myocardium sends a signal to stimulate the immune system and proliferation of leukocytes. In continuous, cytokine storm can be initiated and causes the probability of CHF. Persistent inflammation by increasing the levels of pro-inflammatory cytokines, plays an important role in the pathogenesis of CHF and causes remodeling, which is a progressive processs. Although treatment by drugs can reduce mortality and partially control the symptoms of heart failure patients, but complications and mortality are still high. Therefore, other treatment options such as Cardiac Resynchronization Therapy (CRT) are necessary. Today, it is known that CRT can be an effective treatment for many patients with heart failure. CRT is novel, non-pharmacological, and device-based therapy that would be beneficial to know more about its performance in the management of heart failure. In this study, we have reviewed the immunological processes involved in heart failure and the effect of CRT in controlling of the cytokine storm.
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Affiliation(s)
- Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Cardiology, School of Medicine, Valiasr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Kai Jing
- Department of Proctology, The People's Hospital of Huaiyin Jinan, 250021 Shandong, China
| | - Jin Wang
- Department of Cardiology, The Fifth People's Hospital of Jinan, 250022 Shandong, China.
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9
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Bozorgi A, Sadeghian S, Mehrabi Nasab E. Trans-apical catheter ablation of ventricular tachycardia in a patient with metallic aortic and mitral valves. J Cardiothorac Surg 2024; 19:12. [PMID: 38243315 PMCID: PMC10799356 DOI: 10.1186/s13019-024-02478-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 01/04/2024] [Indexed: 01/21/2024] Open
Abstract
We present a patient with a history of heart failure and metallic aortic and mitral valves surgeries, who required ablation for a drug-refractory left ventricular tachycardia. But the metallic valves prohibited the insertion of catheters via retrograde or via trans-septal approaches. Therefore, we decided to perform catheter ablation by direct left ventricle puncture through a minithoracotomy. The arrhythmia was successfully ablated via of trans-apical approach and did not recur at six months follow-up.
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Affiliation(s)
- Ali Bozorgi
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, North Kargar Street, Tehran, Iran.
| | - Saeed Sadeghian
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, North Kargar Street, Tehran, Iran
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, North Kargar Street, Tehran, Iran
- Department of Cardiology, School of Medicine, Valiasr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
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10
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Cunha ARD, Compton K, Xu R, Mishra R, Drangsholt MT, Antunes JLF, Kerr AR, Acheson AR, Lu D, Wallace LE, Kocarnik JM, Fu W, Dean FE, Pennini A, Henrikson HJ, Alam T, Ababneh E, Abd-Elsalam S, Abdoun M, Abidi H, Abubaker Ali H, Abu-Gharbieh E, Adane TD, Addo IY, Ahmad A, Ahmad S, Ahmed Rashid T, Akonde M, Al Hamad H, Alahdab F, Alimohamadi Y, Alipour V, Al-Maweri SA, Alsharif U, Ansari-Moghaddam A, Anwar SL, Anyasodor AE, Arabloo J, Aravkin AY, Aruleba RT, Asaad M, Ashraf T, Athari SS, Attia S, Azadnajafabad S, Azangou-Khyavy M, Badar M, Baghcheghi N, Banach M, Bardhan M, Barqawi HJ, Bashir NZ, Bashiri A, Benzian H, Bernabe E, Bhagat DS, Bhojaraja VS, Bjørge T, Bouaoud S, Braithwaite D, Briko NI, Calina D, Carreras G, Chakraborty PA, Chattu VK, Chaurasia A, Chen MX, Cho WCS, Chu DT, Chukwu IS, Chung E, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darvishi Cheshmeh Soltani R, Darwesh AM, Debela SA, Derbew Molla M, Dessalegn FN, Dianati-Nasab M, Digesa LE, Dixit SG, Dixit A, Djalalinia S, El Sayed I, El Tantawi M, Enyew DB, Erku DA, Ezzeddini R, Fagbamigbe AF, Falzone L, Fetensa G, Fukumoto T, Gaewkhiew P, Gallus S, Gebrehiwot M, Ghashghaee A, Gill PS, Golechha M, Goleij P, Gomez RS, Gorini G, Guimaraes ALS, Gupta B, Gupta S, Gupta VB, Gupta VK, Haj-Mirzaian A, Halboub ES, Halwani R, Hanif A, Hariyani N, Harorani M, Hasani H, Hassan AM, Hassanipour S, Hassen MB, Hay SI, Hayat K, Herrera-Serna BY, Holla R, Horita N, Hosseinzadeh M, Hussain S, Ilesanmi OS, Ilic IM, Ilic MD, Isola G, Jaiswal A, Jani CT, Javaheri T, Jayarajah U, Jayaram S, Joseph N, Kadashetti V, Kandaswamy E, Karanth SD, Karaye IM, Kauppila JH, Kaur H, Keykhaei M, Khader YS, Khajuria H, Khanali J, Khatib MN, Khayat Kashani HR, Khazeei Tabari MA, Kim MS, Kompani F, Koohestani HR, Kumar GA, Kurmi OP, La Vecchia C, Lal DK, Landires I, Lasrado S, Ledda C, Lee YH, Libra M, Lim SS, Listl S, Lopukhov PD, Mafi AR, Mahumud RA, Malik AA, Mathur MR, Maulud SQ, Meena JK, Mehrabi Nasab E, Mestrovic T, Mirfakhraie R, Misganaw A, Misra S, Mithra P, Mohammad Y, Mohammadi M, Mohammadi E, Mokdad AH, Moni MA, Moraga P, Morrison SD, Mozaffari HR, Mubarik S, Murray CJL, Nair TS, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Negru SM, Nggada HA, Nouraei H, Nuñez-Samudio V, Oancea B, Olagunju AT, Omar Bali A, Padron-Monedero A, Padubidri JR, Pandey A, Pardhan S, Patel J, Pezzani R, Piracha ZZ, Rabiee N, Radhakrishnan V, Radhakrishnan RA, Rahmani AM, Rahmanian V, Rao CR, Rao SJ, Rath GK, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Rezaei N, Rezaei N, Rezaei N, Rezapour A, Riad A, Roberts TJ, Romero-Rodríguez E, Roshandel G, S M, S N C, Saddik B, Saeb MR, Saeed U, Safaei M, Sahebazzamani M, Sahebkar A, Salek Farrokhi A, Samy AM, Santric-Milicevic MM, Sathian B, Satpathy M, Šekerija M, Senthilkumaran S, Seylani A, Shafaat O, Shahsavari HR, Shamsoddin E, Sharew MM, Sharifi-Rad J, Shetty JK, Shivakumar KM, Shobeiri P, Shorofi SA, Shrestha S, Siddappa Malleshappa SK, Singh P, Singh JA, Singh G, Sinha DN, Solomon Y, Suleman M, Suliankatchi Abdulkader R, Taheri Abkenar Y, Talaat IM, Tan KK, Tbakhi A, Thiyagarajan A, Tiyuri A, Tovani-Palone MR, Unnikrishnan B, Vo B, Volovat SR, Wang C, Westerman R, Wickramasinghe ND, Xiao H, Yu C, Yuce D, Yunusa I, Zadnik V, Zare I, Zhang ZJ, Zoladl M, Force LM, Hugo FN. The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncol 2023; 9:1401-1416. [PMID: 37676656 PMCID: PMC10485745 DOI: 10.1001/jamaoncol.2023.2960] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/04/2023] [Indexed: 09/08/2023]
Abstract
Importance Lip, oral, and pharyngeal cancers are important contributors to cancer burden worldwide, and a comprehensive evaluation of their burden globally, regionally, and nationally is crucial for effective policy planning. Objective To analyze the total and risk-attributable burden of lip and oral cavity cancer (LOC) and other pharyngeal cancer (OPC) for 204 countries and territories and by Socio-demographic Index (SDI) using 2019 Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study estimates. Evidence Review The incidence, mortality, and disability-adjusted life years (DALYs) due to LOC and OPC from 1990 to 2019 were estimated using GBD 2019 methods. The GBD 2019 comparative risk assessment framework was used to estimate the proportion of deaths and DALYs for LOC and OPC attributable to smoking, tobacco, and alcohol consumption in 2019. Findings In 2019, 370 000 (95% uncertainty interval [UI], 338 000-401 000) cases and 199 000 (95% UI, 181 000-217 000) deaths for LOC and 167 000 (95% UI, 153 000-180 000) cases and 114 000 (95% UI, 103 000-126 000) deaths for OPC were estimated to occur globally, contributing 5.5 million (95% UI, 5.0-6.0 million) and 3.2 million (95% UI, 2.9-3.6 million) DALYs, respectively. From 1990 to 2019, low-middle and low SDI regions consistently showed the highest age-standardized mortality rates due to LOC and OPC, while the high SDI strata exhibited age-standardized incidence rates decreasing for LOC and increasing for OPC. Globally in 2019, smoking had the greatest contribution to risk-attributable OPC deaths for both sexes (55.8% [95% UI, 49.2%-62.0%] of all OPC deaths in male individuals and 17.4% [95% UI, 13.8%-21.2%] of all OPC deaths in female individuals). Smoking and alcohol both contributed to substantial LOC deaths globally among male individuals (42.3% [95% UI, 35.2%-48.6%] and 40.2% [95% UI, 33.3%-46.8%] of all risk-attributable cancer deaths, respectively), while chewing tobacco contributed to the greatest attributable LOC deaths among female individuals (27.6% [95% UI, 21.5%-33.8%]), driven by high risk-attributable burden in South and Southeast Asia. Conclusions and Relevance In this systematic analysis, disparities in LOC and OPC burden existed across the SDI spectrum, and a considerable percentage of burden was attributable to tobacco and alcohol use. These estimates can contribute to an understanding of the distribution and disparities in LOC and OPC burden globally and support cancer control planning efforts.
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Affiliation(s)
| | - Kelly Compton
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Rixing Xu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Data and Tooling, Sage Bionetworks, Seattle, Washington
| | - Rashmi Mishra
- Department of Oral Medicine, School of Dentistry, University of Washington, Seattle
| | - Mark Thomas Drangsholt
- Department of Oral Medicine, School of Dentistry, University of Washington, Seattle
- Oral Medicine Clinic, School of Dentistry, University of Washington, Seattle
| | | | - Alexander R Kerr
- Department of Oral and Maxillofacial Pathology, Radiology, and Medicine, College of Dentistry, New York University, New York, New York
| | - Alistair R Acheson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Dan Lu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Lindsey E Wallace
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Jonathan M Kocarnik
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Weijia Fu
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Frances E Dean
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Mathematics, University of California, Berkeley
| | - Alyssa Pennini
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Hannah Jacqueline Henrikson
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts
| | - Tahiya Alam
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Emad Ababneh
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, Ohio
| | - Sherief Abd-Elsalam
- Tropical Medicine Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Meriem Abdoun
- Department of Medicine, University of Setif Algeria, Setif, Algeria
| | - Hassan Abidi
- Laboratory Technology Sciences Department, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Hiwa Abubaker Ali
- Department of Banking and Finance, University of Human Development, Sulaymaniyah, Iraq
| | - Eman Abu-Gharbieh
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
| | - Tigist Demssew Adane
- Department of Clinical and Psychosocial Epidemiology, University of Groningen, Groningen, the Netherlands
| | - Isaac Yeboah Addo
- Centre for Social Research in Health, University of New South Wales, Sydney, New South Wales, Australia
- Quality and Systems Performance Unit, Cancer Institute NSW, Sydney, New South Wales, Australia
| | - Aqeel Ahmad
- Department of Medical Biochemistry, Shaqra University, Shaqra, Saudi Arabia
| | - Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar, Pakistan
| | - Tarik Ahmed Rashid
- Department of Computer Science and Engineering, University of Kurdistan Hewler, Erbil, Iraq
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia
| | - Hanadi Al Hamad
- Geriatric and Long Term Care Department, Hamad Medical Corporation, Doha, Qatar
- Rumailah Hospital, Hamad Medical Corporation, Doha, Qatar
| | - Fares Alahdab
- Evidence-Based Practice Center Program, Mayo Clinic Foundation for Medical Education and Research, Rochester, Minnesota
| | - Yousef Alimohamadi
- Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Vahid Alipour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
- Department of Health Economics, Iran University of Medical Sciences, Tehran, Iran
| | | | | | - Alireza Ansari-Moghaddam
- Department of Epidemiology and Biostatistics, Zahedan University of Medical Sciences, Zahedan, Iran
| | - Sumadi Lukman Anwar
- Department of Surgery, Faculty of Medicine, Gadjah Mada University, Yogyakarta, Indonesia
| | | | - Jalal Arabloo
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Aleksandr Y Aravkin
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Applied Mathematics, College of Arts & Sciences, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Raphael Taiwo Aruleba
- Department of Molecular and Cell Biology, University of Cape Town, Cape Town, South Africa
| | - Malke Asaad
- Department of Plastic Surgery, University of Texas, Houston
| | - Tahira Ashraf
- University Institute of Radiological Sciences and Medical Imaging Technology, The University of Lahore, Lahore, Pakistan
| | | | - Sameh Attia
- Department of Oral and Maxillofacial Surgery, Justus Liebig University of Giessen, Giessen, Germany
| | - Sina Azadnajafabad
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Azangou-Khyavy
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Muhammad Badar
- Gomal Center of Biochemistry and Biotechnology, Gomal University, Dera Ismail Khan, Pakistan
| | - Nayereh Baghcheghi
- Department of Nursing, Saveh University of Medical Sciences, Saveh, Iran
| | - Maciej Banach
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
- Polish Mothers' Memorial Hospital Research Institute, Lodz, Poland
| | - Mainak Bardhan
- Department of Molecular Microbiology and Bacteriology, National Institute of Cholera and Enteric Diseases, Kolkata, India
- Department of Molecular Microbiology, Indian Council of Medical Research, New Delhi, India
| | - Hiba Jawdat Barqawi
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
| | - Nasir Z Bashir
- School of Oral and Dental Sciences, University of Bristol, Bristol, England, United Kingdom
| | - Azadeh Bashiri
- Health Information Management, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Habib Benzian
- Department of Epidemiology and Health Promotion, College of Dentistry, New York University, New York, New York
| | - Eduardo Bernabe
- Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, England, United Kingdom
| | - Devidas S Bhagat
- Department of Forensic Chemistry, Government Institute of Forensic Science, Aurangabad, India
| | - Vijayalakshmi S Bhojaraja
- Department of Anatomy, Royal College of Surgeons in Ireland Medical, University of Bahrain, Busaiteen, Bahrain
| | - Tone Bjørge
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Cancer Registry of Norway, Oslo, Norway
| | - Souad Bouaoud
- Department of Medicine, University Ferhat Abbas of Setif, Setif, Algeria
- Department of Epidemiology and Preventive Medicine, University Hospital Saadna Abdenour, Setif, Algeria
| | - Dejana Braithwaite
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville
- Cancer Control and Population Sciences Program, University of Florida Health Cancer Center, Gainesville
| | - Nikolay Ivanovich Briko
- Department of Epidemiology and Evidence-Based Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Daniela Calina
- Department of Clinical Pharmacy, Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, Romania
| | - Giulia Carreras
- Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | - Promit Ananyo Chakraborty
- School of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Vijay Kumar Chattu
- Department of Community Medicine, Datta Meghe Institute of Medical Sciences, Sawangi, India
- Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India
| | - Akhilanand Chaurasia
- Department of Oral Medicine and Radiology, King George's Medical University, Lucknow, India
| | - Meng Xuan Chen
- Department of Oral Biological and Medical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada
| | - William C S Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China
| | - Dinh-Toi Chu
- Center for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam
| | | | - Eunice Chung
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Natália Cruz-Martins
- Department of Therapeutic and Diagnostic Technologies, Polytechnic and University Higher Education Cooperative, Gandra, Portugal
- Institute for Research and Innovation in Health, University of Porto, Porto, Portugal
| | - Omid Dadras
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
- Section Global Health and Rehabilitation, Western Norway University of Applied Sciences, Bergen, Norway
| | - Xiaochen Dai
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Lalit Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
- Indian Council of Medical Research, New Delhi, India
| | - Rakhi Dandona
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Public Health Foundation of India, Gurugram, India
| | - Parnaz Daneshpajouhnejad
- Department of Pathology, Johns Hopkins Medicine, Baltimore, Maryland
- Department of Pathology, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Aso Mohammad Darwesh
- Department of Information Technology, University of Human Development, Sulaymaniyah, Iraq
| | | | | | - Fikadu Nugusu Dessalegn
- Department of Public Health, College of Medicine, Madda Walabu University, Bale Goba, Ethiopia
| | - Mostafa Dianati-Nasab
- Department of Epidemiology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
- Department of Epidemiology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Lankamo Ena Digesa
- Department of Comprehensive Nursing, Arba Minch University, Arba Minch, Ethiopia
| | - Shilpi Gupta Dixit
- Department of Anatomy, All India Institute of Medical Sciences, Jodhpur, India
| | - Abhinav Dixit
- Department of Physiology, All India Institute of Medical Sciences, Jodhpur, India
| | - Shirin Djalalinia
- Development of Research and Technology Center, Ministry of Health and Medical Education, Tehran, Iran
| | - Iman El Sayed
- Department of Biomedical Informatics and Medical Statistics, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Maha El Tantawi
- Department of Pediatric Dentistry and Dental Public Health, Faculty of Dentistry, Alexandria University, Alexandria, Egypt
| | | | - Daniel Asfaw Erku
- Centre for Applied Health Economics, Griffith University, Gold Coast, Queensland, Australia
| | - Rana Ezzeddini
- Department of Clinical Biochemistry, Tarbiat Modares University, Tehran, Iran
| | - Adeniyi Francis Fagbamigbe
- Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan, Nigeria
- The Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom
| | - Luca Falzone
- Epidemiology and Biostatistics Unit, National Cancer Institute IRCCS Fondazione G. Pascale, Naples, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Getahun Fetensa
- Department of Nursing, College of Medical and Health Sciences, Wollega University, Nekemte, Ethiopia
| | | | - Piyada Gaewkhiew
- Department of Community Dentistry, Faculty of Dentistry, Mahidol University, Ratchathewi, Thailand
- Population and Patient Health Group, King's College London, London, England, United Kingdom
| | - Silvano Gallus
- Department of Environmental Health Sciences, Mario Negri Institute for Pharmacological Research, Milan, Italy
| | - Mesfin Gebrehiwot
- Department of Environmental Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Ahmad Ghashghaee
- School of Public Health, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Paramjit Singh Gill
- Warwick Medical School, University of Warwick, Coventry, England, United Kingdom
| | - Mahaveer Golechha
- Department of Health Systems and Policy Research, Indian Institute of Public Health, Gandhinagar, India
| | - Pouya Goleij
- Department of Genetics, Sana Institute of Higher Education, Sari, Iran
| | - Ricardo Santiago Gomez
- Department of Oral Surgery and Pathology, School of Dentistry, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Giuseppe Gorini
- Oncological Network, Institute for Cancer Research, Prevention and Clinical Network, Florence, Italy
| | | | - Bhawna Gupta
- Department of Public Health, Torrens University Australia, Melbourne, Victoria, Australia
| | - Sapna Gupta
- Toxicology Department, Shriram Institute for Industrial Research, Delhi, India
| | - Veer Bala Gupta
- School of Medicine, Deakin University, Geelong, Victoria, Australia
| | - Vivek Kumar Gupta
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Arvin Haj-Mirzaian
- Department of Pharmacology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Obesity Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Esam S Halboub
- College of Dentistry, Jazan University, Jazan, Saudi Arabia
- School of Dentistry, Sana'a University, Sana'a, Yemen
| | - Rabih Halwani
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
- College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - Asif Hanif
- University Institute of Public Health, The University of Lahore, Lahore, Pakistan
| | - Ninuk Hariyani
- Department of Dental Public Health, Airlangga University, Surabaya, Indonesia
- Australian Research Centre for Population Oral Health, University of Adelaide, Adelaide, South Australia, Australia
| | - Mehdi Harorani
- Department of Nursing, School of Nursing, Arak University of Medical Sciences, Arak, Iran
| | - Hamidreza Hasani
- Department of Ophthalmology, Iran University of Medical Sciences, Karaj, Iran
| | - Abbas M Hassan
- Department of Plastic Surgery, University of Texas, Houston
| | - Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Caspian Digestive Disease Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Mohammed Bheser Hassen
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- National Data Management Center for Health (NDMC), Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Simon I Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Khezar Hayat
- Institute of Pharmaceutical Sciences, University of Veterinary and Animal Sciences, Lahore, Pakistan
- Department of Pharmacy Administration and Clinical Pharmacy, Xi'an Jiaotong University, Xi'an, China
| | | | - Ramesh Holla
- Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India
| | - Nobuyuki Horita
- Department of Pulmonology, Yokohama City University, Yokohama, Japan
- National Human Genome Research Institute (NHGRI), National Institutes of Health, Bethesda, Maryland
| | - Mehdi Hosseinzadeh
- Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- Department of Computer Science, University of Human Development, Sulaymaniyah, Iraq
| | - Salman Hussain
- Czech National Centre for Evidence-Based Healthcare and Knowledge Translation, Masaryk University, Brno, Czech Republic
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Olayinka Stephen Ilesanmi
- Department of Community Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Community Medicine, University College Hospital, Ibadan, Ibadan, Nigeria
| | - Irena M Ilic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Milena D Ilic
- Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Gaetano Isola
- Department of General Surgery and Surgical-Medical Specialties, University of Catania, Catania, Italy
| | - Abhishek Jaiswal
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Chinmay T Jani
- Department of Internal Medicine, Mount Auburn Hospital, Harvard University, Cambridge, Massachusetts
| | - Tahereh Javaheri
- Health Informatics Lab, Boston University, Boston, Massachusetts
| | - Umesh Jayarajah
- Postgraduate Institute of Medicine, University of Colombo, Colombo, Sri Lanka
- Department of Surgery, National Hospital of Sri Lanka, Colombo, Sri Lanka
| | - Shubha Jayaram
- Department of Biochemistry, Government Medical College, Mysuru, India
| | - Nitin Joseph
- Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India
| | - Vidya Kadashetti
- Department of Oral and Maxillofacial Pathology, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, India
| | - Eswar Kandaswamy
- Department of Periodontics, School of Dentistry, Louisiana State University Health Sciences Center, New Orleans
| | | | - Ibraheem M Karaye
- School of Health Professions and Human Services, Hofstra University, Hempstead, New York
| | - Joonas H Kauppila
- Surgery Research Unit, University of Oulu, Oulu, Finland
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | | | - Mohammad Keykhaei
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
| | - Yousef Saleh Khader
- Department of Public Health and Community Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Himanshu Khajuria
- Amity Institute of Forensic Sciences, Amity University, Noida, India
| | - Javad Khanali
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahalaqua Nazli Khatib
- Global Consortium for Public Health Research, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, India
| | | | - Mohammad Amin Khazeei Tabari
- Department of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
- MAZUMS Office, Universal Scientific Education and Research Network, Tehran, Iran
| | - Min Seo Kim
- Department of Genomics and Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Seoul, South Korea
- Public Health Center, Ministry of Health and Welfare, Wando, South Korea
| | - Farzad Kompani
- Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Koohestani
- Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
| | - G Anil Kumar
- Public Health Foundation of India, Gurugram, India
| | - Om P Kurmi
- Faculty of Health and Life Sciences, Coventry University, Coventry, England, United Kingdom
- Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | | | - Iván Landires
- Unit of Genetics and Public Health, Institute of Medical Sciences, Las Tablas, Panama
- Ministry of Health, Herrera, Panama
| | - Savita Lasrado
- Department of Otorhinolaryngology, Father Muller Medical College, Mangalore, India
| | - Caterina Ledda
- Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
| | - Yo Han Lee
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, South Korea
| | - Massimo Libra
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Stephen S Lim
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Stefan Listl
- Department of Dentistry, Radboud University, Nijmegen, the Netherlands
- Department of Translational Health Economics, Heidelberg University Hospital, Heidelberg, Germany
| | - Platon D Lopukhov
- Department of Epidemiology and Evidence-Based Medicine, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Ahmad R Mafi
- Department of Clinical Oncology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rashidul Alam Mahumud
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ahmad Azam Malik
- University Institute of Public Health, The University of Lahore, Lahore, Pakistan
- Rabigh Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Manu Raj Mathur
- Department of Health Policy Research, Public Health Foundation of India, Gurugram, India
- Institute of Population Health Sciences, University of Liverpool, Liverpool, England, United Kingdom
| | - Sazan Qadir Maulud
- Department of Biology, College of Science, Salahaddin University, Erbil, Iraq
| | - Jitendra Kumar Meena
- Department of Preventive Oncology, All India Institute of Medical Sciences, New Delhi, India
| | | | - Tomislav Mestrovic
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- University Centre Varazdin, University North, Varazdin, Croatia
| | - Reza Mirfakhraie
- Department of Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Awoke Misganaw
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- National Data Management Center for Health, Ethiopian Public Health Institute, Addis Ababa, Ethiopia
| | - Sanjeev Misra
- Department of Surgical Oncology, All India Institute of Medical Sciences, Jodhpur, India
| | - Prasanna Mithra
- Department of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India
| | - Yousef Mohammad
- Internal Medicine Department, King Saud University, Riyadh, Saudi Arabia
| | - Mokhtar Mohammadi
- Department of Information Technology, Lebanese French University, Erbil, Iraq
| | - Esmaeil Mohammadi
- Tehran University of Medical Sciences, Tehran, Iran
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali H Mokdad
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | - Mohammad Ali Moni
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Paula Moraga
- Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Shane Douglas Morrison
- Division of Facial Plastic and Reconstructive Surgery, Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle
| | - Hamid Reza Mozaffari
- Department of Oral and Maxillofacial Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, School of Medicine, Wuhan University, Wuhan, China
| | - Christopher J L Murray
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
| | | | | | | | - Hasan Nassereldine
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
| | - Zuhair S Natto
- Department of Dental Public Health, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Oral Health Policy and Epidemiology, School of Dental Medicine, Harvard University, Boston, Massachusetts
| | | | - Serban Mircea Negru
- Department of Oncology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
| | - Haruna Asura Nggada
- Department of Histopathology, University of Maiduguri Teaching Hospital, Maiduguri, Nigeria
- Department of Human Pathology, University of Maiduguri, Maiduguri, Nigeria
| | - Hasti Nouraei
- Department of Medical Mycology and Parasitology, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Virginia Nuñez-Samudio
- Unit of Microbiology and Public Health, Institute of Medical Sciences, Las Tablas, Panama
- Department of Public Health, Ministry of Health, Herrera, Panama
| | - Bogdan Oancea
- Department of Applied Economics and Quantitative Analysis, University of Bucharest, Bucharest, Romania
| | - Andrew T Olagunju
- Department of Psychiatry and Behavioural Neurosciences, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
- Department of Psychiatry, Faculty of Clinical Science, University of Lagos, Lagos, Nigeria
| | - Ahmed Omar Bali
- Diplomacy and Public Relations Department, University of Human Development, Sulaymaniyah, Iraq
| | | | - Jagadish Rao Padubidri
- Department of Forensic Medicine and Toxicology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India
| | | | - Shahina Pardhan
- Vision and Eye Research Institute, Anglia Ruskin University, Cambridge, England, United Kingdom
| | - Jay Patel
- Global Health Governance Programme, University of Edinburgh, Edinburgh, Scotland, United Kingdom
- School of Dentistry, University of Leeds, Leeds, England, United Kingdom
| | - Raffaele Pezzani
- Endocrinology Unit, Department of Medicine, University of Padova, Padova, Italy
- Associazione Italiana Ricerca Oncologica di Base (AIROB), Padova, Italy
| | | | - Navid Rabiee
- School of Engineering, Macquarie University, Sydney, New South Wales, Australia
- Pohang University of Science and Technology, Pohang, South Korea
| | | | | | - Amir Masoud Rahmani
- Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan
| | - Vahid Rahmanian
- Department of Public Health, Torbat Jam Faculty of Medical Sciences, Torbat Jam, Iran
| | - Chythra R Rao
- Department of Community Medicine, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India
| | - Sowmya J Rao
- Department of Oral Pathology and Microbiology, Sharavathi Dental College and Hospital, Shimogga, India
| | - Goura Kishor Rath
- Department of Radiation Oncology, All India Institute of Medical Sciences, New Delhi, India
| | - David Laith Rawaf
- WHO Collaborating Centre for Public Health Education and Training, Imperial College London, London, England, United Kingdom
- Inovus Medical, St Helens, England, United Kingdom
| | - Salman Rawaf
- Department of Primary Care and Public Health, Faculty of Medicine, Imperial College London, London, England, United Kingdom
- Academic Public Health England, Public Health England, London, England, United Kingdom
| | - Reza Rawassizadeh
- Department of Computer Science, College of Arts & Sciences, Boston University, Boston, Massachusetts
| | - Mohammad Sadegh Razeghinia
- Department of Immunology and Laboratory Sciences, Sirjan School of Medical Sciences, Sirjan, Iran
- Department of Immunology, Kerman University of Medical Sciences, Kerman, Iran
| | - Nazila Rezaei
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Negar Rezaei
- Non-Communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Tehran University of Medical Sciences, Tehran, Iran
- Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Aziz Rezapour
- Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Abanoub Riad
- Department of Public Health, Masaryk University, Brno, Czech Republic
- Czech National Centre for Evidence-based Healthcare and Knowledge Translation, Masaryk University, Brno, Czech Republic
| | - Thomas J Roberts
- Department of Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Esperanza Romero-Rodríguez
- Clinical and Epidemiological Research in Primary Care (GICEAP), Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
| | - Manjula S
- Department of Oral and Maxillofacial Surgery, JSS Academy of Higher Education and Research, Mysore, India
| | - Chandan S N
- Department of Oral and Maxillofacial Surgery, JSS Academy of Higher Education and Research, Mysore, India
| | - Basema Saddik
- Sharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates
| | - Mohammad Reza Saeb
- Department of Polymer Technology, Faculty of Chemistry, Gdańsk University of Technology, Gdańsk, Poland
| | - Umar Saeed
- International Center of Medical Sciences Research, Islamabad, Pakistan
- Multidisciplinary Laboratory Foundation University School of Health Sciences (FUSH), Foundation University, Islamabad, Pakistan
| | - Mohsen Safaei
- Advanced Dental Sciences Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Maryam Sahebazzamani
- Department of Medical Biochemistry, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
- Medical Laboratory Sciences, Sirjan School of Medical Sciences, Sirjan, Iran
| | - Amirhossein Sahebkar
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Biotechnology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Abdallah M Samy
- Department of Entomology, Faculty of Science, Ain Shams University, Cairo, Egypt
- Medical Ain Shams Research Institute (MARSI), Ain Shams University, Cairo, Egypt
| | - Milena M Santric-Milicevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
- School of Public Health and Health Management, University of Belgrade, Belgrade, Serbia
| | - Brijesh Sathian
- Geriatric and Long Term Care Department, Hamad Medical Corporation, Doha, Qatar
- Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, England, United Kingdom
| | - Maheswar Satpathy
- UGC Centre of Advanced Study in Psychology, Utkal University, Bhubaneswar, India
- Udyam-Global Association for Sustainable Development, Bhubaneswar, India
| | - Mario Šekerija
- Department of Medical Statistics, University of Zagreb, Zagreb, Croatia
- Department of Epidemiology and Prevention of Chronic Noncommunicable Diseases, Croatian Institute of Public Health, Zagreb, Croatia
| | | | - Allen Seylani
- National Heart, Lung, and Blood Institute, National Institutes of Health, Rockville, Maryland
| | - Omid Shafaat
- Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, Maryland
- Department of Radiology and Interventional Neuroradiology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamid R Shahsavari
- Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran
| | - Erfan Shamsoddin
- Department of Oral Health, Non-Communicable Diseases Research Center (NCDRC), Tehran, Iran
- Non-Communicable Diseases Committee, National Institute for Medical Research Development (NIMAD), Tehran, Iran
| | | | | | - Jeevan K Shetty
- Department of Biochemistry, Royal College of Surgeons in Ireland Medical University of Bahrain, Busaiteen, Bahrain
| | - K M Shivakumar
- Department of Public Health Dentistry, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, India
| | - Parnian Shobeiri
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Department of International Studies, Non-Communicable Diseases Research Center (NCDRC), Tehran, Iran
| | - Seyed Afshin Shorofi
- Department of Medical-Surgical Nursing, Nasibeh School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran
- College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Sunil Shrestha
- School of Pharmacy, Monash University, Selangor Darul Ehsan, Malaysia
| | | | - Paramdeep Singh
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India
| | - Jasvinder A Singh
- Heersink School of Medicine, University of Alabama at Birmingham, Birmingham
- Department of Medicine Service, US Department of Veterans Affairs, Birmingham, Alabama
| | - Garima Singh
- Department of Community Medicine, Lady Hardinge Medical College, New Delhi, India
- Department of Community Medicine, All India Institute of Medical Sciences, Jodhpur, India
| | - Dhirendra Narain Sinha
- Department of Epidemiology, School of Preventive Oncology, Patna, India
- Department of Epidemiology, Healis Sekhsaria Institute for Public Health, Mumbai, India
| | - Yonatan Solomon
- Department of Nursing, Dire Dawa University, Dire Dawa, Ethiopia
| | - Muhammad Suleman
- Center for Biotechnology and Microbiology, University of Swat, Mingora, Pakistan
- School of Life Sciences, Xiamen University, Xiamen, China
| | | | | | - Iman M Talaat
- Clinical Sciences Department, University of Sharjah, Sharjah, United Arab Emirates
- Pathology Department, Alexandria University, Alexandria, Egypt
| | - Ker-Kan Tan
- Department of Surgery, National University of Singapore, Singapore, Singapore
| | - Abdelghani Tbakhi
- Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan
| | - Arulmani Thiyagarajan
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Amir Tiyuri
- Department of Epidemiology and Biostatistics, Birjand University of Medical Sciences, Birjand, Iran
- Department of Epidemiology and Biostatistics, Iran University of Medical Sciences, Tehran, Iran
| | - Marcos Roberto Tovani-Palone
- Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India
- Modestum LTD, Eastbourne, England, United Kingdom
| | - Bhaskaran Unnikrishnan
- Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Mangalore, India
| | - Bay Vo
- Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam
| | - Simona Ruxandra Volovat
- Department of Medical Oncology, University of Medicine and Pharmacy "Grigore T Popa" Iaşi, Iaşi, Romania
- Department of Medical Oncology, Regional Institute of Oncology, Iaşi, Romania
| | - Cong Wang
- Department of Medicine, Vanderbilt University, Nashville, Tennessee
| | - Ronny Westerman
- Competence Center of Mortality-Follow-Up of the German National Cohort, Federal Institute for Population Research, Wiesbaden, Germany
| | - Nuwan Darshana Wickramasinghe
- Department of Community Medicine, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka
| | - Hong Xiao
- School of Public Health, Zhejiang University, Zhejiang, China
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Medicine, Wuhan University, Wuhan, China
| | - Deniz Yuce
- Hacettepe University Cancer Institute, Ankara, Turkey
| | - Ismaeel Yunusa
- Department of Clinical Pharmacy and Outcomes Sciences, College of Pharmacy, University of South Carolina, Columbia
| | - Vesna Zadnik
- Epidemiology and Cancer Registry Sector, Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Iman Zare
- Research and Development Department, Sina Medical Biochemistry Technologies, Shiraz, Iran
| | - Zhi-Jiang Zhang
- School of Medicine, Faculty of Medical Sciences, Wuhan University, Wuhan, China
| | - Mohammad Zoladl
- Department of Nursing, Yasuj University of Medical Sciences, Yasuj, Iran
| | - Lisa M Force
- Institute for Health Metrics and Evaluation, University of Washington, Seattle
- Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle
- Division of Hematology-Oncology, Department of Pediatrics, University of Washington, Seattle
| | - Fernando N Hugo
- Department of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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Nasab EM, Aghajani H, Makoei RH, Athari SS. COVID-19's immuno-pathology and cardiovascular diseases. J Investig Med 2023; 71:71-80. [PMID: 36647329 PMCID: PMC9850087 DOI: 10.1177/10815589221141841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The pandemic of COVID-19 in worldwide causes recent millions of morbidity and mortality in all countries and is the most important challenge in the world in recent years. Coronavirus is a single-stranded RNA virus and infection with COVID-19 leads to acute respiratory distress syndrome, lung inflammation, cytokine storm, and death. The other complications include endothelial dysfunction, activation of coagulation, thromboembolic events, and vascular disease. Cardiovascular complications such as myocardial and stroke ischemia, pulmonary thromboembolism, systemic arterial, and deep vein thrombosis were reported. In this review, we presented immuno-pathological mechanisms and the effects of COVID-19 on the cardiovascular system, heart, vessels, coagulation system, and molecular glance of immuno-inflammation to the COVID-19's pathology on the cardiovascular system.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran,Department of Cardiology, School of Medicine, Valiasr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Hassan Aghajani
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Hassanzadeh Makoei
- Department of Cardiology, School of Medicine, Ayatollah Mousavi Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran,Seyyed Shamsadin Athari, Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Gavazang Road, Zanjan PG36+6RX, Iran. Emails: and
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Yonghua S, Mehrabi Nasab E, Liuo Y. Effect of Temperature and Humidity on the Allegro-inflammatory Factors and Allergic Rhinitis-related Behavior. Iran J Allergy Asthma Immunol 2022; 21:704-710. [PMID: 36640061 DOI: 10.18502/ijaai.v21i6.11531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 10/08/2022] [Indexed: 01/02/2023]
Abstract
Allergic rhinitis (AR) is an allergic disease induced by the T helper 2 (TH2) lymphocyte immune response, where its mediators are the primary cause of clinical symptoms. Environmental factors are the primary determinants of the allergic response in genetically susceptible individuals. This study investigates the effects of climate conditions (warm, cold, humid, and dry) on allergic rhinitis. AR models were created in mice under 4 different conditions. We investigated AR-related behavior (sneezing and nose rubbing), as well as total immunoglobulin E (IgE), histamine, interleukin-4 (IL-4), leukotriene (LT) B4 and LTC4 levels, and gene expression of CysLT1R, HRH1, and MUC5a. Nose rubbing, histamine levels, and the expression of MUC5a and HRH1 were increased in AR models in cold conditions, and sneezing was increased in AR models kept in dry conditions. LTB4 and LTC4 levels and the expression of CysLT1R in AR models kept in a wet environment also significantly increased compared with the control group. The levels of total IgE and IL-4 showed no significant changes. Air temperature and humidity affect AR pathophysiology, and weather conditions can be essential in controlling AR.
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Affiliation(s)
- Shen Yonghua
- Department of Otolaryngology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Jiangsu, China.
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
| | - Yen Liuo
- Otorhinolaryngology Head and Neck Surgery, HongiHui Hospital, Xi'an University, Xi'an, China.
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Mehrabi Nasab E, Athari SS. Reporting complete heart block in a patient with polyarteritis nodosa after COVID-19 vaccination. ESC Heart Fail 2022; 10:1418-1421. [PMID: 36347818 PMCID: PMC9877695 DOI: 10.1002/ehf2.14227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/04/2022] [Accepted: 10/21/2022] [Indexed: 11/11/2022] Open
Abstract
Complete heart block (CHB) is a serious health condition, and polyarteritis nodosa (PAN) is an important autoimmune disease. In the COVID-19 pandemy, several vaccines were developed for the COVID-19 disease that shown several side effects, and some of these complications are still unknown. This is the first report of CHB in a patient with history of PAN after COVID-19 vaccination. A 68-year-old man with a history of PAN referred to our hospital, complaining of presyncope episodes and dizziness after receiving a COVID-19 vaccine. Physical examination, laboratory tests, and transthoracic echocardiography were normal. In his electrocardiogram, a narrow QRS complex, AV dissociation, and junctional escape rhythm were seen. Coronary angiography showed a mild coronary artery disease. The patient, suffering from PAN for years, was hypothesized due to CHB a few days after COVID-19 vaccination. This case report suggests that COVID-19 vaccines may interrupt the conduction system of the heart and the fact that underlying PAN may predispose to CHB following COVID-19 vaccination. Further studies are needed to accurately assess a possible association between PAN, CHB, and COVID-19 vaccines.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart CenterTehran University of Medical SciencesTehranIran
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14
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Kyu HH, Vongpradith A, Sirota SB, Novotney A, Troeger CE, Doxey MC, Bender RG, Ledesma JR, Biehl MH, Albertson SB, Frostad JJ, Burkart K, Bennitt FB, Zhao JT, Gardner WM, Hagins H, Bryazka D, Dominguez RMV, Abate SM, Abdelmasseh M, Abdoli A, Abdoli G, Abedi A, Abedi V, Abegaz TM, Abidi H, Aboagye RG, Abolhassani H, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Abu-Zaid A, Adamu K, Addo IY, Adegboye OA, Adnan M, Adnani QES, Afzal MS, Afzal S, Ahinkorah BO, Ahmad A, Ahmad AR, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed JQ, Ahmed Rashid T, Akbarzadeh-Khiavi M, Al Hamad H, Albano L, Aldeyab MA, Alemu BM, Alene KA, Algammal AM, Alhalaiqa FAN, Alhassan RK, Ali BA, Ali L, Ali MM, Ali SS, Alimohamadi Y, Alipour V, Al-Jumaily A, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Rifai RHH, AlRyalat SAS, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Aminian Dehkordi JJ, Amuasi JH, Amugsi DA, Anbesu EW, Ansar A, Anyasodor AE, Arabloo J, Areda D, Argaw AM, Argaw ZG, Arulappan J, Aruleba RT, Asemahagn MA, 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Zhang M, Zhang ZJ, Zhong C, Zoladl M, Zumla A, Lim SS, Vos T, Naghavi M, Brauer M, Hay SI, Murray CJL. Age-sex differences in the global burden of lower respiratory infections and risk factors, 1990-2019: results from the Global Burden of Disease Study 2019. Lancet Infect Dis 2022; 22:1626-1647. [PMID: 35964613 PMCID: PMC9605880 DOI: 10.1016/s1473-3099(22)00510-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 05/18/2022] [Accepted: 07/18/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. METHODS In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466-469, 470.0, 480-482.8, 483.0-483.9, 484.1-484.2, 484.6-484.7, and 487-489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4-B97.6, J09-J15.8, J16-J16.9, J20-J21.9, J91.0, P23.0-P23.4, and U04-U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age-sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age-sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. FINDINGS Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240-275) LRI incident episodes in males and 232 million (217-248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18-1·42) male deaths and 1·20 million (1·07-1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16-1·18) and 1·31 times (95% UI 1·23-1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4-131·1]) and deaths (100·0% [83·4-115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (-70·7% [-77·2 to -61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7-61·8] in males and 56·4% [40·7-65·1] in females), and more than a quarter of LRI deaths among those aged 5-14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6-35·5] for males and PAF 25·8% [16·3-35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4-25·2) in those aged 15-49 years, 30·5% (24·1-36·9) in those aged 50-69 years, and 21·9% (16·8-27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5-27·9) in those aged 15-49 years and 18·2% (12·5-24·5) in those aged 50-69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2-15·8) of LRI deaths. INTERPRETATION The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. FUNDING Bill & Melinda Gates Foundation.
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Tabari MA, Khezeli M, Khodadost M, Kim MS, Kim YJ, Kisa A, Kisa S, Klugar M, Klugarová J, Kolahi AA, Kolkhir P, Kompani F, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy Y, Kucuk Bicer B, Kugbey N, Kulimbet M, Kumar A, Kumar GA, Kumar N, Kurmi OP, Kuttikkattu A, La Vecchia C, Lahiri A, Lal DK, Lám J, Lan Q, Landires I, Larijani B, Lasrado S, Lau J, Lauriola P, Ledda C, Lee SW, Lee SWH, Lee WC, Lee YY, Lee YH, Legesse SM, Leigh J, Leong E, Li MC, Lim SS, Liu G, Liu J, Lo CH, Lohiya A, Lopukhov PD, Lorenzovici L, Lotfi M, Loureiro JA, Lunevicius R, Madadizadeh F, Mafi AR, Magdeldin S, Mahjoub S, Mahmoodpoor A, Mahmoudi M, Mahmoudimanesh M, Mahumud RA, Majeed A, Majidpoor J, Makki A, Makris KC, Malakan Rad E, Malekpour MR, Malekzadeh R, Malik AA, Mallhi TH, Mallya SD, Mamun MA, Manda AL, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantovani LG, Martini S, Martorell M, Masoudi S, Masoumi SZ, Matei CN, Mathews E, Mathur MR, Mathur V, McKee M, Meena JK, Mehmood K, Mehrabi Nasab E, Mehrotra R, Melese A, Mendoza W, Menezes RG, Mengesha SID, Mensah LG, Mentis AFA, Mera-Mamián AYM, Meretoja TJ, Merid MW, Mersha AG, Meselu BT, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Mijena GFW, Miller TR, Mir SA, Mirinezhad SK, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Mirzaei HR, Misganaw AS, Misra S, Mohammad KA, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Molassiotis A, Molokhia M, Momenzadeh K, Momtazmanesh S, Monasta L, Mons U, Montasir AA, Montazeri F, Montero A, Moosavi MA, Moradi A, Moradi Y, Moradi Sarabi M, Moraga P, Morawska L, Morrison SD, Morze J, Mosapour A, Mostafavi E, Mousavi SM, Mousavi Isfahani H, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mulita F, Munblit D, Munro SB, Murillo-Zamora E, Musa J, Nabhan AF, Nagarajan AJ, Nagaraju SP, Nagel G, Naghipour M, Naimzada MD, Nair TS, Naqvi AA, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Ndejjo R, Nduaguba SO, Negash WW, Nejadghaderi SA, Nejati K, Neupane Kandel S, Nguyen HVN, Niazi RK, Noor NM, Noori M, Noroozi N, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Odukoya OO, Oghenetega OB, Ogunsakin RE, Oguntade AS, Oh IH, Okati-Aliabad H, Okekunle AP, Olagunju AT, Olagunju TO, Olakunde BO, Olufadewa II, Omer E, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Otstavnov SS, Oulhaj A, Oumer B, Owopetu OF, Oyinloye BE, P A M, Padron-Monedero A, Padubidri JR, Pakbin B, Pakshir K, Pakzad R, Palicz T, Pana A, Pandey A, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Park S, Patel J, Pati S, Paudel R, Paudel U, Paun M, Pazoki Toroudi H, Peng M, Pereira J, Pereira RB, Perna S, Perumalsamy N, Pestell RG, Pezzani R, Piccinelli C, Pillay JD, Piracha ZZ, Pischon T, Postma MJ, Pourabhari Langroudi A, Pourshams A, Pourtaheri N, Prashant A, Qadir MMF, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi M, Rafiee A, Rafiei A, Raheem N, Rahim F, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajai N, Rajesh A, Ram P, Ramezanzadeh K, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Rehman AU, Rehman IU, Reitsma MB, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezapour A, Riad A, Rikhtegar R, Rios-Blancas M, Roberts TJ, Rohloff P, Romero-Rodríguez E, Roshandel G, Rwegerera GM, S M, Saber-Ayad MM, Saberzadeh-Ardestani B, Sabour S, Saddik B, Sadeghi E, Saeb MR, Saeed U, Safaei M, Safary A, Sahebazzamani M, Sahebkar A, Sahoo H, Sajid MR, Salari H, Salehi S, Salem MR, Salimzadeh H, Samodra YL, Samy AM, Sanabria J, Sankararaman S, Sanmarchi F, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sarvi F, Sathian B, Satpathy M, Sayegh N, Schneider IJC, Schwarzinger M, Šekerija M, Senthilkumaran S, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shah PA, Shahabi S, Shahid I, Shahrbaf MA, Shahsavari HR, Shaikh MA, Shaka MF, Shaker E, Shannawaz M, Sharew MMS, Sharifi A, Sharifi-Rad J, Sharma P, Shashamo BB, Sheikh A, Sheikh M, Sheikhbahaei S, Sheikhi RA, Sheikhy A, Shepherd PR, Shetty A, Shetty JK, Shetty RS, Shibuya K, Shirkoohi R, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shivarov V, Shobeiri P, Shokri Varniab Z, Shorofi SA, Shrestha S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva LMLR, Silva Julian G, Silvestris N, Simegn W, Singh AD, Singh A, Singh G, Singh H, Singh JA, Singh JK, Singh P, Singh S, Sinha DN, Sinke AH, Siraj MS, Sitas F, Siwal SS, Skryabin VY, Skryabina AA, Socea B, Soeberg MJ, Sofi-Mahmudi A, Solomon Y, Soltani-Zangbar MS, Song S, Song Y, Sorensen RJD, Soshnikov S, Sotoudeh H, Sowe A, Sufiyan MB, Suk R, Suleman M, Suliankatchi Abdulkader R, Sultana S, Sur D, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabatabaei SM, Tabuchi T, Tadbiri H, Taheri E, Taheri M, Taheri Soodejani M, Takahashi K, Talaat IM, Tampa M, Tan KK, Tat NY, Tat VY, Tavakoli A, Tavakoli A, Tehrani-Banihashemi A, Tekalegn Y, Tesfay FH, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Thomas NK, Ticoalu JHV, Tiyuri A, Tollosa DN, Topor-Madry R, Touvier M, Tovani-Palone MR, Traini E, Tran MTN, Tripathy JP, Ukke GG, Ullah I, Ullah S, Ullah S, Unnikrishnan B, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vardavas C, Varthya SB, Vaziri S, Velazquez DZ, Veroux M, Villeneuve PJ, Violante FS, Vladimirov SK, Vlassov V, Vo B, Vu LG, Wadood AW, Waheed Y, Walde MT, Wamai RG, Wang C, Wang F, Wang N, Wang Y, Ward P, Waris A, Westerman R, Wickramasinghe ND, Woldemariam M, Woldu B, Xiao H, Xu S, Xu X, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yeshaw Y, Yismaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yousefian F, Yu C, Yu Y, Yunusa I, Zahir M, Zaki N, Zaman BA, Zangiabadian M, Zare F, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeineddine MA, Zhang D, Zhang J, Zhang Y, Zhang ZJ, Zhou L, Zodpey S, Zoladl M, Vos T, Hay SI, Force LM, Murray CJL. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022; 400:563-591. [PMID: 35988567 PMCID: PMC9395583 DOI: 10.1016/s0140-6736(22)01438-6] [Citation(s) in RCA: 189] [Impact Index Per Article: 94.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/13/2022] [Accepted: 07/28/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). INTERPRETATION The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. FUNDING Bill & Melinda Gates Foundation.
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Mehrabi Nasab E, Hassanzadeh Makoei R, Aghajani H, Athari SS. IL-33/ST2 pathway as upper-hand of inflammation in allergic asthma contributes as predictive biomarker in heart failure. ESC Heart Fail 2022; 9:3785-3790. [PMID: 35975554 PMCID: PMC9773709 DOI: 10.1002/ehf2.14111] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 07/10/2022] [Accepted: 08/04/2022] [Indexed: 01/19/2023] Open
Abstract
Allergic asthma is an inflammatory disorder of the bronchi, and as a major health problem, more than 350 million people suffer from asthma in the world. Many cardiovascular disorders resulted in the impairment of the heart's power to pump blood that leads to the HF. More than 25 million people worldwide live with HF. Accordingly, identifying the biomarkers to predict the onset of future asthma and HF is necessary. IL-33 is an inflammatory cytokine that has the main role in pathophysiology of asthma and HF. Also, in IL-33 receptor, the ST2 is involved in cardiac fibrosis and remodelling in HF and pathogenesis of allergic asthma. Increased sST2 in allergic asthma helps to control inflammation during asthma, but increased sST2 in HF is a predictable biomarker to present risk factor of HF during the time of the patients.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart CenterTehran University of Medical SciencesTehranIran,Department of Cardiology, School of Medicine, Valiasr HospitalZanjan University of Medical SciencesZanjanIran
| | - Reza Hassanzadeh Makoei
- Department of Cardiology, School of Medicine, Ayatollah Mousavi HospitalZanjan University of Medical SciencesZanjanIran
| | - Hassan Aghajani
- Department of Cardiology, School of Medicine, Tehran Heart CenterTehran University of Medical SciencesTehranIran
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Benseñor IM, Bhagavathula AS, Bhala N, Bhalla A, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bintoro BS, Blokhina EAE, Bodicha BBA, Boloor A, Bosetti C, Braithwaite D, Brenner H, Briko NI, Brunoni AR, Butt ZA, Cao C, Cao Y, Cárdenas R, Carvalho AF, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Castro-de-Araujo LFS, Cattaruzza MS, Chakraborty PA, Charan J, Chattu VK, Chaurasia A, Cherbuin N, Chu DT, Chudal N, Chung SC, Churko C, Ciobanu LG, Cirillo M, Claro RM, Costanzo S, Cowden RG, Criqui MH, Cruz-Martins N, Culbreth GT, Dachew BA, Dadras O, Dai X, Damiani G, Dandona L, Dandona R, Daniel BD, Danielewicz A, Darega Gela J, Davletov K, de Araujo JAP, de Sá-Junior AR, Debela SA, Dehghan A, Demetriades AK, Derbew Molla M, Desai R, Desta AA, Dias da Silva D, Diaz D, Digesa LE, Diress M, Dodangeh M, Dongarwar D, Dorostkar F, Dsouza HL, Duko B, Duncan BB, Edvardsson K, Ekholuenetale M, Elgar FJ, Elhadi M, Elmonem MA, Endries AY, Eskandarieh S, Etemadimanesh A, Fagbamigbe AF, Fakhradiyev IR, Farahmand F, Farinha CSES, Faro A, Farzadfar F, Fatehizadeh A, Fauk NK, Feigin VL, Feldman R, Feng X, Fentaw Z, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Francis JM, Franklin RC, Gaal PA, Gad MM, Gallus S, Galvano F, Ganesan B, Garg T, Gebrehiwot MGD, Gebremeskel TG, Gebremichael MA, Gemechu TR, Getacher L, Getachew ME, Getachew Obsa A, Getie A, Ghaderi A, Ghafourifard M, Ghajar A, Ghamari SH, Ghandour LA, Ghasemi Nour M, Ghashghaee A, Ghozy S, Glozah FN, Glushkova EV, Godos J, Goel A, Goharinezhad S, Golechha M, Goleij P, Golitaleb M, Greaves F, Grivna M, Grosso G, Gudayu TW, Gupta B, Gupta R, Gupta S, Gupta VB, Gupta VK, Hafezi-Nejad N, Haj-Mirzaian A, Hall BJ, Halwani R, Handiso TB, Hankey GJ, Hariri S, Haro JM, Hasaballah AI, Hassanian-Moghaddam H, Hay SI, Hayat K, Heidari G, Heidari M, Hendrie D, Herteliu C, Heyi DZ, Hezam K, Hlongwa MM, Holla R, Hossain MM, Hossain S, Hosseini SK, hosseinzadeh M, Hostiuc M, Hostiuc S, Hu G, Huang J, Hussain S, Ibitoye SE, Ilic IM, Ilic MD, Immurana M, Irham LM, Islam MM, Islam RM, Islam SMS, Iso H, Itumalla R, Iwagami M, Jabbarinejad R, Jacob L, Jakovljevic M, Jamalpoor Z, Jamshidi E, Jayapal SK, Jayarajah UU, Jayawardena R, Jebai R, Jeddi SA, Jema AT, Jha RP, Jindal HA, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabthymer RH, Kamble BD, Kandel H, Kanno GG, Kapoor N, Karaye IM, Karimi SE, Kassa BG, Kaur RJ, Kayode GA, Keykhaei M, Khajuria H, Khalilov R, Khan IA, Khan MAB, Kim H, Kim J, Kim MS, Kimokoti RW, Kivimäki M, Klymchuk V, Knudsen AKS, Kolahi AA, Korshunov VA, Koyanagi A, Krishan K, Krishnamoorthy Y, Kumar GA, Kumar N, Kumar N, Lacey B, Lallukka T, Lasrado S, Lau J, Lee SW, Lee WC, Lee YH, Lim LL, Lim SS, Lobo SW, Lopukhov PD, Lorkowski S, Lozano R, Lucchetti G, Madadizadeh F, Madureira-Carvalho ÁM, Mahjoub S, Mahmoodpoor A, Mahumud RA, Makki A, Malekpour MR, Manjunatha N, Mansouri B, Mansournia MA, Martinez-Raga J, Martinez-Villa FA, Matzopoulos R, Maulik PK, Mayeli M, McGrath JJ, Meena JK, Mehrabi Nasab E, Menezes RG, Mensink GBM, Mentis AFA, Meretoja A, Merga BT, Mestrovic T, Miao Jonasson J, Miazgowski B, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirica A, Mirijello A, Mirmoeeni S, Mirrakhimov EM, Misra S, Moazen B, Mobarakabadi M, Moccia M, Mohammad Y, Mohammadi E, Mohammadian-Hafshejani A, Mohammed TA, Moka N, Mokdad AH, Momtazmanesh S, Moradi Y, Mostafavi E, Mubarik S, Mullany EC, Mulugeta BT, Murillo-Zamora E, Murray CJL, Mwita JC, Naghavi M, Naimzada MD, Nangia V, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nepal S, Neupane SPP, Neupane Kandel S, Nigatu YT, Nowroozi A, Nuruzzaman KM, Nzoputam CI, Obamiro KO, Ogbo FA, Oguntade AS, Okati-Aliabad H, Olakunde BO, Oliveira GMM, Omar Bali A, Omer E, Ortega-Altamirano DV, Otoiu A, Otstavnov SS, Oumer B, P A M, Padron-Monedero A, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pardhan S, Parekh T, Park EK, Parry CDH, Pashazadeh Kan F, Patel J, Pati S, Patton GC, Paudel U, Pawar S, Peden AE, Petcu IR, Phillips MR, Pinheiro M, Plotnikov E, Pradhan PMS, Prashant A, Quan J, Radfar A, Rafiei A, Raghav PR, Rahimi-Movaghar V, Rahman A, Rahman MM, Rahman M, Rahmani AM, Rahmani S, Ranabhat CL, Ranasinghe P, Rao CR, Rasali DP, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Renzaho AMN, Rezaei N, Rezaei S, Rezaeian M, Riahi SM, Romero-Rodríguez E, Roth GA, Rwegerera GM, Saddik B, Sadeghi E, Sadeghian R, Saeed U, Saeedi F, Sagar R, Sahebkar A, Sahoo H, Sahraian MA, Saif-Ur-Rahman KM, Salahi S, Salimzadeh H, Samy AM, Sanmarchi F, Santric-Milicevic MM, Sarikhani Y, Sathian B, Saya GK, Sayyah M, Schmidt MI, Schutte AE, Schwarzinger M, Schwebel DC, Seidu AA, Senthil Kumar N, SeyedAlinaghi S, Seylani A, Sha F, Shahin S, Shahraki-Sanavi F, Shahrokhi S, Shaikh MA, Shaker E, Shakhmardanov MZ, Shams-Beyranvand M, Sheikhbahaei S, Sheikhi RA, Shetty A, Shetty JK, Shiferaw DS, Shigematsu M, Shiri R, Shirkoohi R, Shivakumar KM, Shivarov V, Shobeiri P, Shrestha R, Sidemo NB, Sigfusdottir ID, Silva DAS, Silva NTD, Singh JA, Singh S, Skryabin VY, Skryabina AA, Sleet DA, Solmi M, SOLOMON YONATAN, Song S, Song Y, Sorensen RJD, Soshnikov S, Soyiri IN, Stein DJ, Subba SH, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Taheri M, Tan KK, Tareke M, Tarkang EE, Temesgen G, Temesgen WA, Temsah MH, Thankappan KR, Thapar R, Thomas NK, Tiruneh C, Todorovic J, Torrado M, Touvier M, Tovani-Palone MR, Tran MTN, Trias-Llimós S, Tripathy JP, Vakilian A, Valizadeh R, Varmaghani M, Varthya SB, Vasankari TJ, Vos T, Wagaye B, Waheed Y, Walde MT, Wang C, Wang Y, Wang YP, Westerman R, Wickramasinghe ND, Wubetu AD, Xu S, Yamagishi K, Yang L, Yesera GEE, Yigit A, Yiğit V, Yimaw AEAE, Yon DK, Yonemoto N, Yu C, Zadey S, Zahir M, Zare I, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zuniga YMH, Gakidou E. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 2022; 400:185-235. [PMID: 35843246 PMCID: PMC9289789 DOI: 10.1016/s0140-6736(22)00847-9] [Citation(s) in RCA: 122] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/11/2022] [Accepted: 04/26/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. FUNDING Bill & Melinda Gates Foundation.
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Cai J, Chen Q, Mehrabi Nasab E, Athari SS. Immunomodulatory effect of N‐acetyl‐seryl‐aspartyl‐proline and vasoactive intestinal peptide on chronic obstructive pulmonary disease pathophysiology. Fundam Clin Pharmacol 2022; 36:1005-1010. [DOI: 10.1111/fcp.12811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/21/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Jian Cai
- Department of Emergency The Second Hospital of Shandong University Jinan City China
| | - Qianyi Chen
- Department of General Surgery and Critical Care Unit Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine Chongming Brangch Shanghai China
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center Tehran University of Medical Sciences Tehran Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine Zanjan University of Medical Sciences Zanjan Iran
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Sharma R, Abbasi-Kangevari M, Abd-Rabu R, Abidi H, Abu-Gharbieh E, Acuna JM, Adhikari S, Advani SM, Afzal MS, Aghaie Meybodi M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alhalaiqa FAN, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almustanyir S, Al-Raddadi RM, Alvand S, Alvis-Guzman N, Amini S, Ancuceanu R, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Arabloo J, Aryannejad A, Asghari Jafarabadi M, Athari SS, Ausloos F, Ausloos M, Awedew AF, Awoke MA, Ayana TM, Azadnajafabad S, Azami H, Azangou-Khyavy M, Azari Jafari A, Badiye AD, Bagherieh S, Bahadory S, Baig AA, Baker JL, Banach M, Barrow A, Berhie AY, Besharat S, Bhagat DS, Bhagavathula AS, Bhala N, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bjørge T, Bodicha BBA, Braithwaite D, Brenner H, Calina D, Cao C, Cao Y, Carreras G, Carvalho F, Cerin E, Chakinala RC, Cho WCS, Chu DT, Conde J, Costa VM, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Danielewicz A, Demeke FM, Demissie GD, Desai R, Dhamnetiya D, Dianatinasab M, Diaz D, Didehdar M, Doaei S, Doan LP, Dodangeh M, Eghbalian F, Ejeta DD, Ekholuenetale M, Ekundayo TC, El Sayed I, Elhadi M, Enyew DB, Eyayu T, Ezzeddini R, Fakhradiyev IR, Farooque U, Farrokhpour H, Farzadfar F, Fatehizadeh A, Fattahi H, Fattahi N, Fereidoonnezhad M, Fernandes E, Fetensa G, Filip I, Fischer F, Foroutan M, Gaal PA, Gad MM, Gallus S, Garg T, Getachew T, Ghamari SH, Ghashghaee A, Ghith N, Gholamalizadeh M, Gholizadeh Navashenaq J, Gizaw AT, Glasbey JC, Golechha M, Goleij P, Gonfa KB, Gorini G, Guha A, Gupta S, Gupta VB, Gupta VK, Haddadi R, Hafezi-Nejad N, Haj-Mirzaian A, Halwani R, Haque S, Hariri S, Hasaballah AI, Hassanipour S, Hay SI, Herteliu C, Holla R, Hosseini MS, Hosseinzadeh M, Hostiuc M, Househ M, Huang J, Humayun A, Iavicoli I, Ilesanmi OS, Ilic IM, Ilic MD, Islami F, Iwagami M, Jahani MA, Jakovljevic M, Javaheri T, Jayawardena R, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jozwiak JJ, Kabir A, Kalhor R, Kamath A, Kapoor N, Karaye IM, Karimi A, Kauppila JH, Kazemi A, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khanali J, Khayamzadeh M, Khodadost M, Kim H, Kim MS, Kisa A, Kisa S, Kolahi AA, Koohestani HR, Kopec JA, Koteeswaran R, Koyanagi A, Krishnamoorthy Y, Kumar GA, Kumar M, Kumar V, La Vecchia C, Lami FH, Landires I, Ledda C, Lee SW, Lee WC, Lee YY, Leong E, Li B, Lim SS, Lobo SW, Loureiro JA, Lunevicius R, Madadizadeh F, Mahmoodpoor A, Majeed A, Malekpour MR, Malekzadeh R, Malik AA, Mansour-Ghanaei F, Mantovani LG, Martorell M, Masoudi S, Mathur P, Meena JK, Mehrabi Nasab E, Mendoza W, Mentis AFA, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Mijena GFW, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Misra S, Mohammad KA, Mohammadi E, Mohammadi S, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Mokhtari Z, Molokhia M, Momtazmanesh S, Monasta L, Moradi G, Moradzadeh R, Moraga P, Morgado-da-Costa J, Mubarik S, Mulita F, Naghavi M, Naimzada MD, Nam HS, Natto ZS, Nayak BP, Nazari J, Nazemalhosseini-Mojarad E, Negoi I, Nguyen CT, Nguyen SH, Noor NM, Noori M, Noori SMA, Nuñez-Samudio V, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Okati-Aliabad H, Olagunju AT, Olagunju TO, Ong S, Ostroff SM, Padron-Monedero A, Pakzad R, Pana A, Pandey A, Pashazadeh Kan F, Patel UK, Paudel U, Pereira RB, Perumalsamy N, Pestell RG, Piracha ZZ, Pollok RCG, Pourshams A, Pourtaheri N, Prashant A, Rabiee M, Rabiee N, Radfar A, Rafiei S, Rahman M, Rahmani AM, Rahmanian V, Rajai N, Rajesh A, Ramezani-Doroh V, Ramezanzadeh K, Ranabhat K, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Rastegar M, Rawaf DL, Rawaf S, Rawassizadeh R, Razeghinia MS, Renzaho AMN, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezazadeh-Khadem S, Roshandel G, Saber-Ayad MM, Saberzadeh-Ardestani B, Saddik B, Sadeghi H, Saeed U, Sahebazzamani M, Sahebkar A, Salek Farrokhi A, Salimi A, Salimzadeh H, Samadi P, Samaei M, Samy AM, Sanabria J, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sathian B, Satpathy M, Schneider IJC, Šekerija M, Sepanlou SG, Seylani A, Sha F, Shafiee SM, Shaghaghi Z, Shahabi S, Shaker E, Sharifian M, Sharifi-Rad J, Sheikhbahaei S, Shetty JK, Shirkoohi R, Shobeiri P, Siddappa Malleshappa SK, Silva DAS, Silva Julian G, Singh AD, Singh JA, Siraj MS, Sivandzadeh GR, Skryabin VY, Skryabina AA, Socea B, Solmi M, Soltani-Zangbar MS, Song S, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tabibian E, Taheri M, TaheriAbkenar Y, Taherkhani A, Talaat IM, Tan KK, Tbakhi A, Tesfaye B, Tiyuri A, Tollosa DN, Touvier M, Tran BX, Tusa BS, Ullah I, Ullah S, Vacante M, Valadan Tahbaz S, Veroux M, Vo B, Vos T, Wang C, Westerman R, Woldemariam M, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yu C, Yuce D, Yunusa I, Zadnik V, Zahir M, Zare I, Zhang ZJ, Zoladl M. Global, regional, and national burden of colorectal cancer and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Gastroenterol Hepatol 2022; 7:627-647. [PMID: 35397795 PMCID: PMC9192760 DOI: 10.1016/s2468-1253(22)00044-9] [Citation(s) in RCA: 157] [Impact Index Per Article: 78.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 01/30/2022] [Accepted: 02/04/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. METHODS Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. FINDINGS Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73·6] per 100 000), and Andorra (56·6 [42·8-71·9] per 100 000) had the highest age-standardised incidence rates, while Greenland (31·4 [26·0-37·1] per 100 000), Brunei (30·3 [26·6-34·1] per 100 000), and Hungary (28·6 [23·6-34·0] per 100 000) had the highest age-standardised mortality rates. From 1990 through 2019, a substantial rise in incidence rates was observed in younger adults (age <50 years), particularly in high Socio-demographic Index (SDI) countries. Globally, a diet low in milk (15·6%), smoking (13·3%), a diet low in calcium (12·9%), and alcohol use (9·9%) were the main contributors to colorectal cancer DALYs in 2019. INTERPRETATION The increase in incidence rates in people younger than 50 years requires vigilance from researchers, clinicians, and policy makers and a possible reconsideration of screening guidelines. The fast-rising burden in low SDI and middle SDI countries in Asia and Africa calls for colorectal cancer prevention approaches, greater awareness, and cost-effective screening and therapeutic options in these regions. FUNDING Bill & Melinda Gates Foundation.
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Mehrabi Nasab E, Athari SS. The first report of 2:1 atrioventricular block following COVID‐19 vaccination. Clin Case Rep 2022; 10:e05797. [PMID: 35540716 PMCID: PMC9066801 DOI: 10.1002/ccr3.5797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 02/07/2022] [Accepted: 04/22/2022] [Indexed: 11/05/2022] Open
Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology School of Medicine Tehran Heart Center Tehran University of Medical Sciences Tehran Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology School of Medicine Zanjan University of Medical Sciences Zanjan Iran
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Du J, Mehrabi Nasab E, Athari SS, Qian L. Bronchodilatory effect of higenamine as antiallergic asthma treatment. J Investig Med 2022; 70:1753-1758. [PMID: 35410888 DOI: 10.1136/jim-2021-002173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2021] [Indexed: 11/03/2022]
Abstract
Asthma is a complex airway disease that affects more than 350 million humans worldwide. Allergic asthma symptoms are induced by Th2 immune response with the release of cytokines and allegro-inflammatory mediators that amplify the inflammatory response, airway hyper-responsiveness (AHR) and hyperproduction of mucus. Higenamine, as a chemical compound, is a β2 adrenoreceptor agonist and can be used as bronchodilator in allergic asthma.BALB/c mice were allocated in four groups and then allergic asthma was induced in three groups. One of the asthmatic groups was treated with albuterol and other one was treated with higenamine. At least, methacholine challenge to determine the AHR, measurement of cytokines, total immunoglobulin E (IgE), LTB4 and LTC4 levels, evaluation of gene expression of Muc5ac, Muc5b, Agr2 and Arg1, and histopathological study were done.Higenamine treatment reduced AHR, interleukin (IL)-4, IL-13 levels, mRNA expression of MUC5ac, MUC5b, Arg1 and Agr2, goblet cell hyperplasia and mucus hypersecretion. Higenamine had no significant effect on IL-5, interferon-γ (INF-γ), IgE, LTB4, LTC4 levels and eosinophilic inflammation in lung tissue.Higenamine treatment controls asthma acute attack and breathlessness and can be used as asthma treatment with control of AHR and decrease of airflow obstruction and mucus hypersecretion and had allegro-immune-regulatory effect. But higenamine treatment had no notable effect on the inflammation and inflammatory factors.
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Affiliation(s)
- Jing Du
- Department of Hospital Infection Management, The Fourth People's Hospital of Chengdu, Chengdu, Sichuan Province, China
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran (the Islamic Republic of)
| | - Linlin Qian
- Department of General Surgery, Yancheng No.1 Peoples's Hospital, Yancheng, Jiangsu Province, China
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22
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Shen Y, Mehrabi Nasab E, Hassanpour F, Athari SS. The Effects of Combined Therapeutic Protocol on Allergic Rhinitis Symptoms and Molecular Determinants. Iran J Allergy Asthma Immunol 2022; 21:141-150. [PMID: 35490268 DOI: 10.18502/ijaai.v21i2.9222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 10/23/2021] [Indexed: 06/14/2023]
Abstract
Current medications to treat allergic rhinitis (AR) include antihistamines, corticosteroids, and anti-leukotrienes. In the present study, we investigated the effects of combination therapy; using these drugs, and evaluates the AR-related markers and parameters in an animal model. After inducing BALB/c mice AR models, the animals were treated with either pranlukast, loratadine, fluticasone, loratadine + fluticasone, loratadine + pranlukast, fluticasone + pranlukast, or loratadine + fluticasone + pranlukast. Clinical symptoms, Immunoglobulin (Ig)G1, ovalbumin (OVA)-specific and total IgE, leukotriene (LT)B4, LTC4, histamine, thymic stromal lymphopoietin (TSLP) serum levels, and interleukin 4 level in the nasal lavage fluid were determined. The expressions of HRH1, CysLT1R, NLR3, Caspase-1, and MUC5a were studied. Allergic symptoms (nasal rubbing and sneezing), serum Igs (IgG1, total and OVA-specific IgE), eicosanoids (LTB4 and LTC4), histamine, TSLP, and IL-4 as well as gene expressions of MUC5a, Caspase-1, NLR3, HRH1, and CysLT1R were reduced in the animals receiving each of the therapeutic regimens; however, more pronounced effects were seen in the group treated with the triple combined protocol (loratadine + fluticasone + pranlukast). The combination of the loratadine, fluticasone, and pranlukast can effectively control the symptoms of AR probably via modulating several related mechanisms at early and late phases of allergic responses.
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Affiliation(s)
- Yuanfeng Shen
- Department of Otolaryngology, Traditional Chinese Medical Hospital of Huzhou,Huzhou,Zhejiang, China.
| | - Entezar Mehrabi Nasab
- Department of Cardiology, Tehran Heart Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Mehrabi Nasab E, Athari SS. The prevalence of thoracic aorta aneurysm as an important cardiovascular disease in the general population. J Cardiothorac Surg 2022; 17:51. [PMID: 35321745 PMCID: PMC8944034 DOI: 10.1186/s13019-022-01767-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 02/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The aorta is the largest and main artery in the body. The enlargement of the aortic diameter known as ectasia results in aneurysm. Thoracic aorta aneurysm can involve one or more segments of the aorta. Non-invasive imaging techniques play an important role in identifying patients, estimating maximal aneurysm diameter, following up patients, and detecting complications. So, this study was performed to estimate the prevalence of ascending thoracic aorta aneurysm in the general population of Iran. METHODS People with an abnormal aortic size (˃ 36 mm) were enrolled and subjected to diagnostic tests, and related risk factors were assessed. RESULT Of the 3400 people examined, 410 (12%) had abnormal aorta sizes, and 42 (1.2%) had ascending aorta aneurysm. Out of the 410 patients with elevated aorta size, 235 (57%) were males, and 175 (43%) were females. Overall, 229 patients (56%) had hypertension, and 255 (62%) were over 60 years old. CONCLUSION In this study, we showed that the prevalence of ascending aorta aneurysm in the general population of Iran was about 1.2%. Ascending aorta aneurysm is a threatening pathology of the aorta. The high prevalence of hypertension may explain the high incidence of aneurysm in our studied population. Therefore, it is necessary to implement an accurate screening plan to identify patients with hypertension and provide appropriate treatment and adequate follow up to patients. Patients with ascending aorta aneurysm are also recommended to modify their lifestyles.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Wu Z, Mehrabi Nasab E, Arora P, Athari SS. Study effect of probiotics and prebiotics on treatment of OVA-LPS-induced of allergic asthma inflammation and pneumonia by regulating the TLR4/NF-kB signaling pathway. J Transl Med 2022; 20:130. [PMID: 35296330 PMCID: PMC8925173 DOI: 10.1186/s12967-022-03337-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/06/2022] [Indexed: 12/27/2022] Open
Abstract
Asthma is a common respiratory disease, and immune system dysregulation has direct relevance to asthma pathogenesis. Probiotics and prebiotics have immunomodulatory effects and can regulate immune responses and may attenuate allergic reactions. Therefore, in this study, we explored the role of probiotics and prebiotics in regulating acute airway inflammation and the TLR4/NF-kB pathway. Allergic asthma model of BALB/c mice was produced and treated with probiotics (LA-5, GG, and BB-12) and prebiotics (FOS and GOS). Then AHR, BALF cells count, EPO activity, IL-4, 5, 13, 17, 25, 33, as well as IFN-γ, total and OVA-specific IgE, IgG1, Cys-LT, LTB4, LTC4, and TSLP levels were measured. Also, the GTP/GOT assay was performed and gene expression of Akt, NLR3, NF-kB, PI3K, MyD88, TLR4, CCL11, CCL24, MUC5a, Eotaxin, IL-38, and IL-8 were determined. Finally, lung histopathological features were evaluated. Treatment with probiotics could control AHR, eosinophil infiltration to the BALF and reduce the levels of immunoglobulins, IL-17, GTP and also decrease mucus secretion, goblet cell hyperplasia, peribronchial and perivascular inflammation and also, EPO activity. It could reduce gene expression of TLR4 and CCL11. On the other hand, IL-38 gene expression was increased by both probiotic and prebiotic treatment. Treatment with probiotics and prebiotics could control levels of IL-4, 5, 13, 25, 33, leukotrienes, the gene expression of AKT, NLR3, NF-κB, MyD88, MUC5a. The prebiotic treatment could control peribronchial inflammation and PI3K gene expression. Both of the treatments had no significant effect on the GOT, TSLP and IL-8, eotaxin and CCL24 gene expression. Probiotics and prebiotics could induce tolerance in allegro-inflammatory reactions and alter immune responses in allergic conditions. Probiotics could also modulate cellular and humoral immune responses and prevent allergic disorders. Probiotics controls AHR, eosinophil infiltration to the perivascular and BALF, levels of immunoglobulins, IL-17, GTP and also mucus secretion, goblet cell hyperplasia, EPO activity. It could reduce gene expression of TLR4 and CCL11, Probiotics and prebiotics control levels of cytokines (IL-4, 5, 13, 25, and 33), leukotrienes, the gene expression of AKT, NLR3, NF-κB, MyD88, MUC5a, peribronchial inflammation and increase IL-38 gene expression. Prebiotic controls and PI3K gene expression.
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Affiliation(s)
- Zhiwei Wu
- General Internal Medicine Ward, Zhengzhou Central Hospital Affiliated To Zhengzhou University, Zhengzhou City, 450007, China
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Poonam Arora
- Department of Pharmacognosy and Phytochemistry, SGT College of Pharmacy, SGT University, Gurugram, Haryana, India
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Abstract
Mitochondria, as the powerhouse organelle of cells, are greatly involved in regulating cell signaling pathways, including those related to the innate and acquired immune systems, cellular differentiation, growth, death, apoptosis, and autophagy as well as hypoxic stress responses in various diseases. Asthma is a chronic complicated airway disease characterized by airway hyperresponsiveness, eosinophilic inflammation, mucus hypersecretion, and remodeling of airway. The asthma mortality and morbidity rates have increased worldwide, so understanding the molecular mechanisms underlying asthma progression is necessary for new anti-asthma drug development. The lung is an oxygen-rich organ, and mitochondria, by sensing and processing O2, contribute to the generation of ROS and activation of pro-inflammatory signaling pathways. Asthma pathophysiology has been tightly associated with mitochondrial dysfunction leading to reduced ATP synthase activity, increased oxidative stress, apoptosis induction, and abnormal calcium homeostasis. Defects of the mitochondrial play an essential role in the pro-remodeling mechanisms of lung fibrosis and airway cells’ apoptosis. Identification of mitochondrial therapeutic targets can help repair mitochondrial biogenesis and dysfunction and reverse related pathological changes and lung structural remodeling in asthma. Therefore, we here overviewed the relationship between mitochondrial signaling pathways and asthma pathogenic mechanisms.
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Affiliation(s)
- Ling Qian
- Department of Pulmonary and Critical Care Medicine, Shanghai Fifth People's Hospital, Shanghai, China
| | - Entezar Mehrabi Nasab
- Department of Cardiology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran (the Islamic Republic of)
| | | | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran (the Islamic Republic of)
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Chen L, Mehrabi Nasab E, Athari SS. Effect of Loaded Glycyrrhizic Acid on PLGA Nano-particle on Treatment of Allergic Asthma. Iran J Allergy Asthma Immunol 2022; 21:65-72. [PMID: 35524379 DOI: 10.18502/ijaai.v21i1.8617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 07/06/2021] [Indexed: 06/14/2023]
Abstract
Asthma is considered a complex disease of the respiratory system that is characterized by bronchoconstriction, airway inflammation, cough, dyspnea, and wheezing. Allergic reactions are the main reason behind asthma which is known as an important health problem with a high rate of morbidity and mortality in patients with respiratory diseases. Liquorice, the root of Glycyrrhiza, is primarily effective for asthma which is widely used in herbal medicine. In the present study, we designed nano-particles that carry Glycyrrhizic acid as the effective component of Liquorice. After Poly (D,L-lactide-co-glycolic acid) PLGA nanoparticle preparation and Glycyrrhizic acid loading, the morphology of the nanoparticle, the electric charge distribution, and drug-releasing ability were studied. Then the effect of Glycyrrhizic acid-PLGA on the animal model of allergic asthma was investigated. Glycyrrhizic acid-nanoparticle had a mean±SD size of 350±50 nm. about 67% of the effective component was released after 10 h. The interleukin (IL)-4, IL-5, IL-13, and IL-25 levels and the Muc5ac mRNA expression were decreased in the Glycyrrhizic acid-PLGA treated group. In addition, a significant decline was observed in goblet cell hyperplasia, mucus hyper-secretion, and eosinophilic inflammation around bronchi and vessels of the nano-drug treated group, compared with the asthmatic group. We found that Glycyrrhizic acid-PLGA nanoparticle had an anti-asthma effect which may be used as a new drug to cure asthma. It can prevent bronchial obstruction, breathlessness, and asthma attacks.
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Affiliation(s)
- Lijun Chen
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Ningxia Medical University (The First People's Hospital of Yinchuan), Yinchuan, China.
| | - Entezar Mehrabi Nasab
- Department of Cardiology, Tehran Heart Center, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Guo Y, Mehrabi Nasab E, Hassanpour F, Athari SS. Linsitinib and aspirin as the IGF1-R antagonists, inhibit regorafenib-resistant chemotherapy in colon cancer. Saudi J Biol Sci 2022; 29:872-877. [PMID: 35197754 PMCID: PMC8847968 DOI: 10.1016/j.sjbs.2021.10.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/18/2021] [Accepted: 10/05/2021] [Indexed: 10/25/2022] Open
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Huang M, Mehrabi Nasab E, Athari SS. Immunoregulatory effect of mesenchymal stem cell via mitochondria signaling pathways in allergic asthma. Saudi J Biol Sci 2021; 28:6957-6962. [PMID: 34866995 PMCID: PMC8626264 DOI: 10.1016/j.sjbs.2021.07.071] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 06/23/2021] [Accepted: 07/26/2021] [Indexed: 12/05/2022] Open
Abstract
Asthma is a complicated lung disease, which has increased morbidity and mortality rates in worldwide. There is an overlap between asthma pathophysiology and mitochondrial dysfunction and MSCs may have regulatory effect on mitochondrial dysfunction and treats asthma. Therefore, immune-modulatory effect of MSCs and mitochondrial signaling pathways in asthma was studied. After culturing of MSCs and producing asthma animal model, the mice were treated with MSCs via IV via IT. BALf's eosinophil Counting, The levels of IL-4, −5, −13, −25, –33, INF-γ, Cys-LT, LTB4, LTC4, mitochondria genes expression of COX-1, COX-2, ND1, Nrf2, Cytb were measured and lung histopathological study were done. BALf's eosinophils, the levels of IL-4, −5, −13, −25, –33, LTB4, LTC4, Cys-LT, the mitochondria genes expression (COX-1, COX-2, Cytb and ND-1), perivascular and peribronchial inflammation, mucus hyper-production and hyperplasia of the goblet cell in pathological study were significantly decreased in MSCs-treated asthma mice and reverse trend was found about Nrf-2 gene expression, IFN-γ level and ratio of the INF-γ/IL-4. MSC therapy can control inflammation, immune-inflammatory factors in asthma and mitochondrial related genes, and prevent asthma immune-pathology.
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Key Words
- AHR, Airway hyperresponsiveness
- ATP, Adenosine triphosphate
- Allergy
- BALF, Bronchoalveolar lavage fluid
- BM, Bone marrow
- CCL, Chemokine (C-C motif) ligand
- CD, Cluster of differentiation
- COX, Cyclooxygenase
- Cys-LT, Cysteinyl Leukotriene
- Cytb, Cytochrome b
- Drp1, Mitochondrial fission depends on the cytosolic GTPase dynamin-related protein 1
- ELISA, Enzyme-linked immunosorbent assay
- FIS1, Mitochondrial fission 1 protein
- H&E, Haemotoxylin and eosin
- HGF, Hepatocyte growth factor
- HLA, Human leukocyte antigen
- HO, Heme oxygenase
- IDO, Indoleamine 2,3-dioxygenase
- IFN, Interferon
- IL, Interleukin
- IP, Intraperitoneal injection
- IT, Intratrachea administration
- Ig, Immunoglobulin
- Immune system
- Inflammation
- LT, Leukotriene
- MFN, Mitofusin
- MIP, macrophage inflammatory protein
- MMP, Matrix metalloproteinase
- MSC
- MSC, mesenchymal stem cell
- MSC/BI, mesenchymal stem cell bronchial administration
- MSC/IV, mesenchymal stem cell intravenous injection
- ND1, NADH-ubiquinone oxidoreductase chain 1
- NO, Nitric oxide
- Nrf, Nuclear erythroid 2 p45-related factor
- OPA1, Mitochondrial dynamin like GTPase
- OVA, Ovalbumin
- PAS, Periodic-acid-Schiff
- PBS, Phosphate-buffered saline
- PGC1a, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha
- PGE2, Prostaglandin E2
- ROS, Reactive oxygen species
- TFAM, Transcription factor A mitochondrial
- TGF, Transforming growth factor
- TNF, Tumor necrosis factor
- Th, T helper
- iPSC, induced pluripotent stem cells
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Affiliation(s)
- Minmin Huang
- Department of ICU, People's Hospital of Haimen District, Nantong City, Jiangsu Province, Haimen District, Nantong City, Jiangsu Province 226100, China
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
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Mehrabi Nasab E, Heidarzadeh S, Athari SS. Right atrial clot and pulmonary embolism in a patient with COVID-19: A case report. Radiol Case Rep 2021; 16:3392-3395. [PMID: 34405032 PMCID: PMC8361004 DOI: 10.1016/j.radcr.2021.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 11/26/2022] Open
Abstract
The infection caused by the novel coronavirus (COVID-19) immersed the globe into a widespread pandemic. The disease leads to acute respiratory disease syndrome , hypercoagulation, and cardio-vascular diseases. In this case report, we presented an 80-year-old man with right atrial clot and acute pulmonary embolism, who was diagnosed with COVID-19. The patient was isolated and transferred to the intensive care unit with a diagnosis of submissive pulmonary thromboembolism and right atrial clot following COVID-19 infection. Antibiotics and anticoagulants were administered, and the patient was referred for mechanical thrombectomy. He did not die and after recovery, was discharged with warfarin administration. Preventing thromboembolic events seems to be the first priority in the management of COVID-19 patients. It is necessary to look for strategies to manage and prevent the early occurrence of thromboembolic events in these patients.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Siamak Heidarzadeh
- Department of Microbiology and Virology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
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Paulson KR, Kamath AM, Alam T, Bienhoff K, Abady GG, Abbas J, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abd-Elsalam SM, Abdoli A, Abedi A, Abolhassani H, Abreu LG, Abu-Gharbieh E, Abu-Rmeileh NME, Abushouk AI, Adamu AL, Adebayo OM, Adegbosin AE, Adekanmbi V, Adetokunboh OO, Adeyinka DA, Adsuar JC, Afshari K, Aghaali M, Agudelo-Botero M, Ahinkorah BO, Ahmad T, Ahmadi K, Ahmed MB, Aji B, Akalu Y, Akinyemi OO, Aklilu A, Al-Aly Z, Alam K, Alanezi FM, Alanzi TM, Alcalde-Rabanal JE, Al-Eyadhy A, Ali T, Alicandro G, Alif SM, Alipour V, Alizade H, Aljunid SM, Almasi-Hashiani A, Almasri NA, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Altirkawi KA, Alumran AK, Alvis-Guzman N, Alvis-Zakzuk NJ, Ameyaw EK, Amini S, Amini-Rarani M, Amit AML, Amugsi DA, Ancuceanu R, Anderlini D, Andrei CL, Ansari F, Ansari-Moghaddam A, Antonio CAT, Antriyandarti E, Anvari D, Anwer R, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Ärnlöv J, Artanti KD, Arzani A, Asaad M, Asadi-Aliabadi M, Asadi-Pooya AA, Asghari Jafarabadi M, Athari SS, Athari SM, Atnafu DD, Atreya A, Atteraya MS, Ausloos M, Awan AT, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azarian G, Azene ZN, B DB, Babaee E, Badiye AD, Baig AA, Banach M, Banik PC, Barker-Collo SL, Barqawi HJ, Bassat Q, Basu S, Baune BT, Bayati M, Bedi N, Beghi E, Beghi M, Bell ML, Bendak S, Bennett DA, Bensenor IM, Berhe K, Berman AE, Bezabih YM, Bhagavathula AS, Bhandari D, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhattarai S, Bhutta ZA, Bikbov B, Biondi A, Birihane BM, Biswas RK, Bohlouli S, Bragazzi NL, Breusov AV, Brunoni AR, Burkart K, Burugina Nagaraja S, Busse R, Butt ZA, Caetano dos Santos FL, Cahuana-Hurtado L, Camargos P, Cámera LA, Cárdenas R, Carreras G, Carrero JJ, Carvalho F, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Cerin E, Chang JC, Chanie WF, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chaturvedi S, Chen S, Cho DY, Choi JYJ, Chu DT, Ciobanu LG, Cirillo M, Conde J, Costa VM, Couto RAS, Dachew BA, Dahlawi SMA, Dai H, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Darmstadt GL, Das JK, Dávila-Cervantes CA, Davis AC, Davletov K, De la Hoz FP, De Leo D, Deeba F, Denova-Gutiérrez E, Dervenis N, Desalew A, Deuba K, Dey S, Dharmaratne SD, Dhingra S, Dhungana GP, Dias da Silva D, Diaz D, Dorostkar F, Doshmangir L, Dubljanin E, Duraes AR, Eagan AW, Edinur HA, Efendi F, Eftekharzadeh S, El Sayed I, El Tantawi M, Elbarazi I, Elgendy IY, El-Jaafary SI, Emami A, Enany S, Eyawo O, Ezzikouri S, Faris PS, Farzadfar F, Fattahi N, Fauk NK, Fazlzadeh M, Feigin VL, Ferede TY, Fereshtehnejad SM, Fernandes E, Ferrara P, Filip I, Fischer F, Fisher JL, Foigt NA, Folayan MO, Foroutan M, Franklin RC, Freitas M, Friedman SD, Fukumoto T, Gad MM, Gaidhane AM, Gaidhane S, Gaihre S, Gallus S, Garcia-Basteiro AL, Garcia-Gordillo MA, Gardner WM, Gaspar Fonseca M, Gebremedhin KB, Getacher L, Ghashghaee A, Gholamian A, Gilani SA, Gill TK, Giussani G, Gnedovskaya EV, Godinho MA, Goel A, Golechha M, Gona PN, Gopalani SV, Goudarzi H, Grivna M, Gugnani HC, Guido D, Guimarães RA, Gupta RD, Gupta R, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Hamidi S, Hanif A, Hankey GJ, Hargono A, Hasaballah AI, Hasan MM, Hasan SS, Hassan A, Hassanipour S, Hassankhani H, Havmoeller RJ, Hayat K, Heidari-Soureshjani R, Henry NJ, Herteliu C, Hole MK, Holla R, Hossain N, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Humayun A, Hwang BF, Iavicoli I, Ibitoye SE, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Inamdar S, Inbaraj LR, Iqbal K, Iqbal U, Islam MM, Islam SMS, Iso H, Iwagami M, Iwu CCD, Jaafari J, Jacobsen KH, Jagnoor J, Jain V, Janodia MD, Javaheri T, Javanmardi F, Jayaram S, Jayatilleke AU, Jenabi E, Jha RP, Ji JS, John O, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kabir Z, Kalankesh LR, Kamyari N, Kanchan T, Kapoor N, Karami Matin B, Karch A, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Kemmer L, Khalid N, Khalilov R, Khammarnia M, Khan EA, Khan G, Khan M, Khan MN, Khang YH, Khatab K, Khater AM, Khater MM, Khayamzadeh M, Khosravi A, Kim D, Kim YE, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Kissoon N, Kopec JA, Kosen S, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy V, Kuate Defo B, Kucuk Bicer B, Kulkarni V, Kumar GA, Kumar M, Kumar N, Kurmi OP, Kusuma D, La Vecchia C, Lacey B, Lalloo R, Lami FH, Landires I, Larsson AO, Lasrado S, Lassi ZS, Lauriola P, Lee PH, Lee SWH, Lee YH, Leigh J, Leonardi M, Lewycka S, Li B, Li S, Liang J, Lim LL, Limenih MA, Lin RT, Liu X, Lodha R, Lopez AD, Lozano R, Lugo A, Lunevicius R, Mackay MT, Madhava Kunjathur S, Magnani FG, Mahadeshwara Prasad DR, Maheri M, Mahmoudi M, Majeed A, Maled V, Maleki A, Maleki S, Malekzadeh R, Malik AA, Malta DC, Mamun AA, Mansouri B, Mansournia MA, Martinez G, Martini S, Martins-Melo FR, Masoumi SZ, Maulik PK, McAlinden C, McGrath JJ, Medina-Solís CE, Mehrabi Nasab E, Mejia-Rodriguez F, Memish ZA, Mendoza W, Menezes RG, Mengesha EW, Mensah GA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mini GK, Miri M, Mirica A, Mirrakhimov EM, Mirzaei H, Mirzaei M, Moazen B, Moghadaszadeh M, Mohajer B, Mohamad O, Mohammad Y, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mondello S, Moni MA, Moore CE, Moradi G, Moradi M, Moradzadeh R, Moraga P, Morawska L, Morrison SD, Mosser JF, Mousavi Khaneghah A, Mustafa G, Naderi M, Nagarajan AJ, Nagaraju SP, Naghavi M, Naghshtabrizi B, Naimzada MD, Nangia V, Narasimha Swamy S, Nascimento BR, Naveed M, Nazari J, Ndejjo R, Negoi I, Negoi RI, Nena E, Nepal S, Netsere HB, Nguefack-Tsague G, Ngunjiri JW, Nguyen CTY, Nguyen CT, Nguyen HLT, Nigatu YT, Nigussie SN, Nixon MR, Nnaji CA, Nomura S, Noor NM, Noubiap JJ, Nuñez-Samudio V, Nwatah VE, Oancea B, Odukoya OO, Ogbo FA, Olusanya BO, Olusanya JO, Omar Bali A, Onwujekwe OE, Ortiz A, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pakshir K, Pal PK, Palladino R, Pana A, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pangaribuan HU, Pardo-Montaño AM, Park EK, Patel SK, Patton GC, Pawar S, Pazoki Toroudi H, Peden AE, Pepito VCF, Peprah EK, Pereira J, Pérez-Gómez J, Perico N, Pesudovs K, Pilgrim T, Pinheiro M, Piradov MA, Pirsaheb M, Platts-Mills JA, Pokhrel KN, Postma MJ, Pourjafar H, Prada SI, Prakash S, Pupillo E, Quazi Syed Z, Rabiee N, Radfar A, Rafiee A, Rafiei A, Raggi A, Rahimzadeh S, Rahman MHU, Rahmani AM, Ramezanzadeh K, Rana J, Ranabhat CL, Rao SJ, Rasella D, Rastogi P, Rathi P, Rawaf DL, Rawaf S, Rawasia WF, Rawassizadeh R, Reiner Jr RC, Remuzzi G, Renzaho AMN, Reshmi B, Resnikoff S, Rezaei N, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rickard J, Roever L, Ronfani L, Rothenbacher D, Rubagotti E, Rumisha SF, Ryan PM, Saddik B, Sadeghi E, Saeedi Moghaddam S, Sagar R, Sahebkar A, Salahshoor MR, Salehi S, Salem MR, Salimzadeh H, Salomon JA, Samodra YL, Samy AM, Sanabria J, Santric-Milicevic MM, Saraswathy SYI, Sarker AR, Sarrafzadegan N, Sarveazad A, Sathian B, Sathish T, Sattin D, Saxena S, Saya GK, Saylan M, Schiavolin S, Schlaich MP, Schwebel DC, Schwendicke F, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Sha F, Shafaat O, Shahabi S, Shahbaz M, Shaheen AA, Shahid I, Shaikh MA, Shakiba S, Shalash AS, Shams-Beyranvand M, Shannawaz M, Sharafi K, Sheikh A, Sheikhbahaei S, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shiue I, Shuval K, Siddiqi TJ, Sidemo NB, Sigfusdottir ID, Sigurvinsdottir R, Silva JP, Silverberg JIS, Simonetti B, Singh BB, Singh JA, Singhal D, Sinha DN, Skiadaresi E, Skryabin VY, Skryabina AA, Sleet DA, Sobaih BH, Sobhiyeh MR, Soltani S, Soriano JB, Spurlock EE, Sreeramareddy CT, Steiropoulos P, Stokes MA, Stortecky S, Sufiyan MB, Suliankatchi Abdulkader R, Sulo G, Swope CB, Sykes BL, Szeto MD, Szócska M, Tabarés-Seisdedos R, Tadesse EG, Taherkhani A, Tamiru AT, Tareque MI, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Tessema ZT, Thankappan KR, Thapar R, Tolani MA, Tovani-Palone MR, Traini E, Tran BX, Tripathy JP, Tsapparellas G, Tsatsakis A, Tudor Car L, Uddin R, Ullah A, Umeokonkwo CD, Unim B, Unnikrishnan B, Upadhyay E, Usman MS, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Venketasubramanian N, Verma M, Violante FS, Vlassov V, Vo B, Vu GT, Wado YD, Waheed Y, Wamai RG, Wang Y, Wang Y, Wang YP, Ward P, Werdecker A, Westerman R, Wickramasinghe ND, Wilner LB, Wiysonge CS, Wu AM, Wu C, Xie Y, Yahyazadeh Jabbari SH, Yamagishi K, Yandrapalli S, Yaya S, Yazdi-Feyzabadi V, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yousefi Z, Yousefinezhadi T, Yu C, Yusuf SS, Zaidi SS, Zaman SB, Zamani M, Zamanian M, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhao XJG, Ziapour A, Hay SI, Murray CJL, Wang H, Kassebaum NJ. Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. Lancet 2021; 398:870-905. [PMID: 34416195 PMCID: PMC8429803 DOI: 10.1016/s0140-6736(21)01207-1] [Citation(s) in RCA: 183] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. METHODS We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. FINDINGS Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3-74·0) in 2000 to 37·1 (33·2-41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8-29·5) in 2000 to 17·9 (16·3-19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05-10·30) in 2000 and 5·05 million (4·27-6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53-4·02]) in 2000 to 48% (2·42 million; 2·06-2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71-0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27-1·58) deaths per 1000 livebirths, and in 2019, there were as many as 1·87 million (95% UI 1·35-2·58; 37% [95% UI 32-43]) of 5·05 million more deaths of children younger than 5 years than the survival potential frontier. INTERPRETATION Global child mortality declined by almost half between 2000 and 2019, but progress remains slower in neonates and 65 (32%) of 204 countries, mostly in sub-Saharan Africa and south Asia, are not on track to meet either SDG 3.2 target by 2030. Focused improvements in perinatal and newborn care, continued and expanded delivery of essential interventions such as vaccination and infection prevention, an enhanced focus on equity, continued focus on poverty reduction and education, and investment in strengthening health systems across the development spectrum have the potential to substantially improve U5MR. Given the widespread effects of COVID-19, considerable effort will be required to maintain and accelerate progress. FUNDING Bill & Melinda Gates Foundation.
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Mehrabi Nasab E, Heidarzadeh S, Yavari B, Athari SS. Acute upper limb ischemia in a patient with COVID-19: A case report. Ann Vasc Surg 2021; 77:83-85. [PMID: 34411665 PMCID: PMC8366040 DOI: 10.1016/j.avsg.2021.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 07/21/2021] [Indexed: 12/25/2022]
Abstract
The novel pandemic of coronavirus infection (COVID-19) has been linked with coagulopathy and thromboembolic events, causing limb loss and finally death. The present report describes a case of upper limb ischemia in a patient with COVID-19 infection, who lacked conventional risk factors for acute limb ischemia (ALI).mAn 83 year-old man with intraluminal thrombus and the occlusion of the axillary and brachial arteries, ceasing blood supply to the distal part of the body, was tested positive for the COVID-19 infection. The patient received therapeutic anticoagulation and underwent open thromboembolectomy, which failed to save the patient's life. The link between COVID-19 and thromboembolism remains unknown and needs further studies to be disclosed.
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Affiliation(s)
- Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Siamak Heidarzadeh
- Department of Microbiology and Virology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Bahram Yavari
- Department of Genetics and Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Wang D, Mehrabi Nasab E, Athari SS. Study effect of Baicalein encapsulated/loaded Chitosan-nanoparticle on allergic Asthma pathology in mouse model. Saudi J Biol Sci 2021; 28:4311-4317. [PMID: 34354413 PMCID: PMC8324934 DOI: 10.1016/j.sjbs.2021.04.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/15/2021] [Accepted: 04/04/2021] [Indexed: 12/01/2022] Open
Abstract
Asthma as chronic airway disease has high prevalence in children and imbalance of Th1/Th2 is a critical mechanism in pathogenesis of the asthma. Baicalein as a cell protective and anti-inflammatory flavonoid may have anti-asthma effect. Therefore, for better using lung, baicalein was used in chitosan-nanoparticle as anti-asthma treatment. Baicalein was loaded and encapsulated in chitosan nanoparticle. The morphology, physical characters (particle size, zeta potential and FT-IR) were analyzed. Drug encapsulation and loading capacity, accumulative release-time were studied. After asthma model producing, the mice were treated with L-B-NP and E-B-NP. At least, MCh challenge test, Cytokines measurement and Lung Histopathology were done. Nanoparticles had average size 285 ± 25 nm with negative charge −2.5 mV. The L-B-NP decreased penh value and E-B-NP decreased inflammation. Both nanoparticles increased IL-12 and decreased IL-5. Also, L-B-NP decreased mucus secretion in bronchi. L-B-NP and E-B-NP control immune-allergo-inflammatory response of asthma. L-B-NP controlled AHR and E-B-NP controlled inflammation that can be used as controlling anti-asthma drug.
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Key Words
- AB, alcian blue
- AHR, airway hyperresponsiveness
- AP-1, activator protein 1
- Airway
- BALf, bronchoalveolar lavage fluid
- BBB, blood–brain barrier
- COX, cyclooxygenase
- E-B-NP, encapsulated-Baicalein-nanoparticles
- ELISA, the enzyme-linked immunosorbent assay
- FT-IR, fourier-transform infrared spectroscopy
- Flavonoid
- H&E, hematoxylin and eosin
- IL, interleukin
- IP, intraperitoneal
- IT, intratracheal
- Inflammation
- L-B-NP, loaded-Baicalein-nanoparticles
- MAP, mitogen-activated protein
- MCh, methacholine
- MTT, The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide
- NF-κB, the nuclear factor-κB
- Nano
- OVA, ovalbumin
- PAS, periodic acid–schiff
- PG, prostaglandin
- TNF, tumor necrosis factor
- Th, T lymphocyte helper
- iNOS, inducible nitric oxide synthase
- mV, millivolt
- nm, nanometer
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Affiliation(s)
- Dong Wang
- Department of Internal Medicine of Traditional Chinese Medicine, People's Hospital of Yanting County, Sichuan 621600, China
| | - Entezar Mehrabi Nasab
- Cardiologist, Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
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Ma B, Athari SS, Mehrabi Nasab E, Zhao L. PI3K/AKT/mTOR and TLR4/MyD88/NF-κB Signaling Inhibitors Attenuate Pathological Mechanisms of Allergic Asthma. Inflammation 2021; 44:1895-1907. [PMID: 33860870 DOI: 10.1007/s10753-021-01466-3] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 03/19/2021] [Accepted: 04/05/2021] [Indexed: 11/25/2022]
Abstract
Asthma is an inflammatory airway disease wherein bronchoconstriction, airway inflammation, and airway obstruction during asthma attacks are the main problems. It is recognized that imbalance of Th1/Th2 and Th17/Treg is a critical factor in asthma pathogenesis. Manipulation of these with signaling molecules such as mTOR, PI3K, Akt, and MyD88 can control asthma. Mouse model of allergic asthma was produced and treated with ketamine, metformin, metformin and ketamine, triciribine, LY294002, and torin2. MCh challenge test, BALf's Eos Count, the IL-4, 5, INF-γ, eicosanoid, total IgE levels were determined. The MUC5a, Foxp3, RORγt, PI3K, mTOR, Akt, PU.1, and MyD88 gene expressions and histopathology study were done. Asthma groups that were treated with all six components had reduced Penh value, total IgE, IL-4 and IL-5 levels, MUC5a, RORγt, MyD88 and mTOR expression, goblet cell hyperplasia, and mucus hyper-secretion. The eosinophil percentage and Cys-LT level were decreased by metformin and ketamine, triciribine, LY294002, and torin2. The level of IFN-γ was increased in triciribine, LY294002, and torin2. Metformin, metformin and ketamine, triciribine, LY294002, and torin2 reduced Akt and PI3K expression, peribronchial and perivascular inflammation, and increased expression of Foxp3. Torin2 had an effect on PU.1 expression. Inhibition of PI3K/AKT/mTOR and TLR4/MyD88/NF-κB signaling with targeted molecules can attenuate asthma pathology and play an important role in airways protection.
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Affiliation(s)
- Baowei Ma
- Department of Thoracic Surgery, Xilingol League Hospital, Xilin Hot City, 026000, Inner Mongolia, China
| | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Entezar Mehrabi Nasab
- Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Limin Zhao
- Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450003, Henan, China.
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Jiang J, Mehrabi Nasab E, Athari SM, Athari SS. Effects of vitamin E and selenium on allergic rhinitis and asthma pathophysiology. Respir Physiol Neurobiol 2021; 286:103614. [PMID: 33422684 DOI: 10.1016/j.resp.2020.103614] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 12/25/2020] [Accepted: 12/30/2020] [Indexed: 02/06/2023]
Abstract
Allergic diseases such as asthma and rhinitis are common health problems that affect hundreds of millions of people in the world. T helper 2 cytokines participate in the immune responses in these diseases. Vitamin E and selenium (Se) are supplementary factors which have immunomodulatory and antioxidant effects. The present study investigated the effects of vit E + Se administration on allergic symptoms in mice models of asthma and rhinitis. Mice were treated with vit E and Se, and the levels of IL-4, IL-5, IL-13, IL-25, IL-33, total IgE, and histamine were measured. Lung histopathology was also analyzed. Our results indicated that vit E could attenuate allergic rhinitis and asthma symptoms; nevertheless, treatment with Se alone was not effective in controlling allergic symptoms. We noticed reduced airway inflammation and constriction and mucus secretion in the mice, especially when vit E was used in combination with Se. Our result suggested that vit E, especially in combination with Se, could control allergic mediators and symptoms in rhinitis and asthma and reduce pulmonary inflammation and airway mucus secretion, helping to open obstructed bronchi.
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Affiliation(s)
- Jinan Jiang
- Department of Otorhinolaryngology, The First Affiliated Hospital of Xi'an Medical University, No. 48 West Fenghao Road, Lianhu District, Xi'an, Shaanxi, 710077, China
| | - Entezar Mehrabi Nasab
- Cardiologist, Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Seyyed Shamsadin Athari
- Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
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Nasab EM, Athari SM, Ghafarzade S, Nasab ARM, Athari SS. Immunomodulatory effects of two silymarin isomers in a Balb/c mouse model of allergic asthma. Allergol Immunopathol (Madr) 2020; 48:646-653. [PMID: 32284261 DOI: 10.1016/j.aller.2020.01.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 12/31/2019] [Accepted: 01/02/2020] [Indexed: 11/25/2022]
Abstract
INTRODUCTION AND OBJECTIVES Allergic asthma is a complex chronic disease of the respiratory system presenting with cough, dyspnea, wheezing and airway obstruction. More than 300 million people of all age spectrums suffer from asthma worldwide. Immunological and inflammatory processes are main contributors to asthma. Cytokines produced by T helper 2 lymphocytes play main roles in asthma development and progression. Silymarin, a therapeutic agent with anti-oxidative properties, is a main component of Silybium marinum. We herein aimed to compare the anti-inflammatory and anti-allergic effects of two silymarin isomers, isosilybin A and silydianin, in the treatment of allergic asthma. MATERIALS AND METHODS After isolating and purifying isosilybin A and silydianin, Balb/c mouse model of allergic asthma was produced using ovalbumin injection. Seventy mice were categorized into five (1 normal and 4 asthmatic) groups (n = 14 per group). Mice in three of four asthmatic groups were treated with either isosilybin A, silydianin or budesonide. The 4th asthmatic group was used as positive control, with the non-asthmatic group serving as negative control. Airway hyperresponsiveness (AHR) and levels of IL-4, IL-5 and IL-13 in the BAL fluid were determined. Gene expressions of IL-4, IL-5, IL-13 and MUC5ac, as well as IgE serum level were also measured. Cellular composition of BAL fluid and lungs histopathology were finally investigated. RESULTS Isosilybin A and silydianin reduced eosinophilic infiltration of lungs, IL-4 and IL-5 levels in BAL fluid, IL-4 and IL-5 gene expressions, as well as AHR in Balb/c mouse model of asthma. However, no significant changes were observed in IL-13 level and mucus hyper-secretion. CONCLUSION According to our study, isosilybin A and silydianin can control main symptoms of asthma by modulating immune responses.
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Deshpande A, Miller-Petrie MK, Lindstedt PA, Baumann MM, Johnson KB, Blacker BF, Abbastabar H, Abd-Allah F, Abdelalim A, Abdollahpour I, Abegaz KH, Abejie AN, Abreu LG, Abrigo MR, Abualhasan A, Accrombessi MMK, Adamu AA, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhikari TB, Afarideh M, Agudelo-Botero M, Ahmadi M, Ahmadi K, Ahmed MB, Ahmed AE, Akalu TY, Akanda AS, Alahdab F, Al-Aly Z, Alam S, Alam N, Alamene GM, Alanzi TM, Albright J, Albujeer A, Alcalde-Rabanal JE, Alebel A, Alemu ZA, Ali M, Alijanzadeh M, Alipour V, Aljunid SM, Almasi A, Almasi-Hashiani A, Al-Mekhlafi HM, Altirkawi KA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amit AML, Amul GGH, Andrei CL, Anjomshoa M, Ansariadi A, Antonio CAT, Antony B, Antriyandarti E, Arabloo J, Aref HMA, Aremu O, Armoon B, Arora A, Aryal KK, Arzani A, Asadi-Aliabadi M, Asmelash D, Atalay HT, Athari SM, Athari SS, Atre SR, Ausloos M, Awasthi S, Awoke N, Ayala Quintanilla BP, Ayano G, Ayanore MA, Aynalem YA, Azari S, Azman AS, Babaee E, Badawi A, Bagherzadeh M, Bakkannavar SM, Balakrishnan S, Banach M, Banoub JAM, Barac A, Barboza MA, Bärnighausen TW, Basu S, Bay VD, Bayati M, Bedi N, Beheshti M, Behzadifar M, Behzadifar M, Bejarano Ramirez DF, Bell ML, Bennett DA, Benzian H, Berbada DA, Bernstein RS, Bhat AG, Bhattacharyya K, Bhaumik S, Bhutta ZA, Bijani A, Bikbov B, Bin Sayeed MS, Biswas RK, Bohlouli S, Boufous S, Brady OJ, Briko AN, Briko NI, Britton GB, Brown A, Burugina Nagaraja S, Butt ZA, Cámera LA, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car J, Cárdenas R, Carvalho F, Castañeda-Orjuela CA, Castro F, Cerin E, Chalise B, Chattu VK, Chin KL, Christopher DJ, Chu DT, Cormier NM, Costa VM, Cromwell EA, Dadi AFF, Dahiru T, Dahlawi SMA, Dandona R, Dandona L, Dang AK, Daoud F, Darwesh AM, Darwish AH, Daryani A, Das JK, Das Gupta R, Dash AP, Dávila-Cervantes CA, Davis Weaver N, De la Hoz FP, De Neve JW, Demissie DB, Demoz GT, Denova-Gutiérrez E, Deribe K, Desalew A, Dharmaratne SD, Dhillon P, Dhimal M, Dhungana GP, Diaz D, Dipeolu IO, Do HT, Dolecek C, Doyle KE, Dubljanin E, Duraes AR, Edinur HA, Effiong A, Eftekhari A, El Nahas N, El Sayed Zaki M, El Tantawi M, Elhabashy HR, El-Jaafary SI, El-Khatib Z, Elkout H, Elsharkawy A, Enany S, Endalew DA, Eshrati B, Eskandarieh S, Etemadi A, Ezekannagha O, Faraon EJA, Fareed M, Faro A, Farzadfar F, Fasil AF, Fazlzadeh M, Feigin VL, Fekadu W, Fentahun N, Fereshtehnejad SM, Fernandes E, Filip I, Fischer F, Flohr C, Foigt NA, Folayan MO, Foroutan M, Franklin RC, Frostad JJ, Fukumoto T, Gad MM, Garcia GM, Gatotoh AM, Gayesa RT, Gebremedhin KB, Geramo YCD, Gesesew HA, Gezae KE, Ghashghaee A, Ghazi Sherbaf F, Gill TK, Gill PS, Ginindza TG, Girmay A, Gizaw Z, Goodridge A, Gopalani SV, Goulart BNG, Goulart AC, Grada A, Green MS, Gubari MIM, Gugnani HC, Guido D, Guimarães RA, Guo Y, Gupta R, Gupta R, Ha GH, Haagsma JA, Hafezi-Nejad N, Haile DH, Haile MT, Hall BJ, Hamidi S, Handiso DW, Haririan H, Hariyani N, Hasaballah AI, Hasan MM, Hasanzadeh A, Hassen HY, Hayelom DH, Hegazy MI, Heibati B, Heidari B, Hendrie D, Henok A, Herteliu C, Heydarpour F, Hidru HDD, Hird TR, Hoang CL, Hollerich GI, Hoogar P, Hossain N, Hosseinzadeh M, Househ M, Hu G, Humayun A, Hussain SA, Hussen MAA, Ibitoye SE, Ilesanmi OS, Ilic MD, Imani-Nasab MH, Iqbal U, Irvani SSN, Islam SMS, Ivers RQ, Iwu CJ, Jahanmehr N, Jakovljevic M, Jalali A, Jayatilleke AU, Jenabi E, Jha RP, Jha V, Ji JS, Jonas JB, Jozwiak JJ, Kabir A, Kabir Z, Kanchan T, Karch A, Karki S, Kasaeian A, Kasahun GG, Kasaye HK, Kassa GG, Kassa GM, Kayode GA, Kebede MM, Keiyoro PN, Ketema DB, Khader YS, Khafaie MA, Khalid N, Khalilov R, Khan EA, Khan J, Khan MN, Khatab K, Khater MM, Khater AM, Khayamzadeh M, Khazaei M, Khosravi MH, Khubchandani J, Kiadaliri A, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kochhar S, Kolola T, Komaki H, Kosen S, Koul PA, Koyanagi A, Krishan K, Kuate Defo B, Kugbey N, Kumar P, Kumar GA, Kumar M, Kusuma D, La Vecchia C, Lacey B, Lal A, Lal DK, Lam H, Lami FH, Lansingh VC, Lasrado S, Lebedev G, Lee PH, LeGrand KE, Leili M, Lenjebo TL, Leshargie CT, Levine AJ, Lewycka S, Li S, Linn S, Liu S, Lopez JCF, Lopukhov PD, Magdy Abd El Razek M, Mahadeshwara Prasad D, Mahasha PW, Mahotra NB, Majeed A, Malekzadeh R, Malta DC, Mamun AA, Manafi N, Mansournia MA, Mapoma CC, Martinez G, Martini S, Martins-Melo FR, Mathur MR, Mayala BK, Mazidi M, McAlinden C, Meharie BG, Mehndiratta MM, Mehrabi Nasab E, Mehta KM, Mekonnen T, Mekonnen TC, Meles GG, Meles HG, Memiah PTN, Memish ZA, Mendoza W, Menezes RG, Mereta ST, Meretoja TJ, Mestrovic T, Metekiya WM, Metekiya WM, Miazgowski B, Miller TR, Mini GK, Mirrakhimov EM, Moazen B, Mohajer B, Mohammad Y, Mohammad DK, Mohammad Gholi Mezerji N, Mohammadibakhsh R, Mohammed S, Mohammed JA, Mohammed H, Mohebi F, Mokdad AH, Moodley Y, Moradi M, Moradi G, Moradi-Joo M, Moraga P, Morales L, Mosapour A, Mosser JF, Mouodi S, Mousavi SM, Mozaffor M, Munro SB, Muriithi MK, Murray CJL, Musa KI, Mustafa G, Muthupandian S, Naderi M, Nagarajan AJ, Naghavi M, Naik G, Nangia V, Nascimento BR, Nazari J, Ndwandwe DE, Negoi I, Netsere HB, Ngunjiri JW, Nguyen CT, Nguyen HLT, Nguyen QP, Nigatu SG, Ningrum DNA, Nnaji CA, Nojomi M, Norheim OF, Noubiap JJ, Oancea B, Ogbo FA, Oh IH, Olagunju AT, Olusanya JO, Olusanya BO, Onwujekwe OE, Ortega-Altamirano DV, Osarenotor O, Osei FB, Owolabi MO, P A M, Padubidri JR, Pakhale S, Pana A, Park EK, Patel SK, Pathak A, Patle A, Paulos K, Pepito VCF, Perico N, Pervaiz A, Pescarini JM, Pesudovs K, Pham HQ, Pigott DM, Pilgrim T, Pirsaheb M, Poljak M, Pollock I, Postma MJ, Pourmalek F, Pourshams A, Prada SI, Preotescu L, Quintana H, Rabiee N, Rabiee M, Radfar A, Rafiei A, Rahim F, Rahimi S, Rahimi-Movaghar V, Rahman MA, Rahman MHU, Rajati F, Ranabhat CL, Rao PC, Rasella D, Rath GK, Rawaf S, Rawal L, Rawasia WF, Remuzzi G, Renjith V, Renzaho AM, Resnikoff S, Riahi SM, Ribeiro AI, Rickard J, Roever L, Ronfani L, Rubagotti E, Rubino S, Saad AM, Sabour S, Sadeghi E, Saeedi Moghaddam S, Safari Y, Sagar R, Sahraian MA, Sajadi SM, Salahshoor MR, Salam N, Saleem A, Salem H, Salem MR, Salimi Y, Salimzadeh H, Samy AM, Sanabria J, Santos IS, Santric-Milicevic MM, Sao Jose BP, Saraswathy SYI, Sarrafzadegan N, Sartorius B, Sathian B, Sathish T, Satpathy M, Sawhney M, Sayyah M, Sbarra AN, Schaeffer LE, Schwebel DC, Senbeta AM, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Shafieesabet A, Shaheen AA, Shahid I, Shaikh MA, Shalash AS, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Shannawaz M, Sharafi K, Sharma R, Sheikh A, Shetty BSK, Shiferaw WS, Shigematsu M, Shin JI, Shiri R, Shirkoohi R, Shivakumar KM, Si S, Siabani S, Siddiqi TJ, Silva DAS, Singh V, Singh NP, Singh BBS, Singh JA, Singh A, Sinha DN, Sisay MM, Skiadaresi E, Smith DL, Soares Filho AM, Sobhiyeh MR, Sokhan A, Soriano JB, Sorrie MB, Soyiri IN, Spurlock EE, Sreeramareddy CT, Sudaryanto A, Sufiyan MB, Suleria HAR, Sykes BL, Tabarés-Seisdedos R, Tabuchi T, Tadesse DB, Tarigan IU, Taye B, Tefera YM, Tehrani-Banihashemi A, Tekelemedhin SW, Tekle MG, Temsah MH, Tesfay BE, Tesfay FH, Tessema ZT, Thankappan KR, ThekkePurakkal AS, Thomas N, Thompson RL, Thomson AJ, Topor-Madry R, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Usman MS, Uthman OA, Uzochukwu BSC, Valdez PR, Varughese S, Veisani Y, Violante FS, Vollmer S, W/hawariat FG, Waheed Y, Wallin MT, Wang YP, Wang Y, Wangdi K, Weiss DJ, Weldesamuel GT, Werkneh AA, Westerman R, Wiangkham T, Wiens KE, Wijeratne T, Wiysonge CS, Wolde HF, Wondafrash DZ, Wonde TE, Worku GT, Yadollahpour A, Yahyazadeh Jabbari SH, Yamada T, Yaseri M, Yatsuya H, Yeshaneh A, Yilma MT, Yip P, Yisma E, Yonemoto N, Younis MZ, Yousof HASA, Yu C, Yusefzadeh H, Zadey S, Zahirian Moghadam T, Zaidi Z, Zaman SB, Zamani M, Zandian H, Zar HJ, Zerfu TA, Zhang Y, Ziapour A, Zodpey S, Zuniga YMH, Hay SI, Reiner RC. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. Lancet Glob Health 2020; 8:e1162-e1185. [PMID: 32827479 PMCID: PMC7443708 DOI: 10.1016/s2214-109x(20)30278-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 05/01/2020] [Accepted: 06/04/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. METHODS We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. FINDINGS Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4-40·7) to 50·3% (50·0-50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1-46·5) in 2017, compared with 28·7% (28·5-29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2-89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664-711) of the 1830 (1797-1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6-80·7) of countries from 2000 to 2017, and in 53·9% (50·6-59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. INTERPRETATION Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. FUNDING Bill & Melinda Gates Foundation.
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Mehrabi Nasab E, Athari SS. Chest Pain in COVID-19 Patients May not Refer to Cardiac Ischemia. JoMMID 2020. [DOI: 10.29252/jommid.8.3.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
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Bozorgi A, Mehrabi Nasab E, Khoshnevis M, Dogmehchi E, Hamze G, Goodarzynejad H. Red Cell Distribution Width and Severe Left Ventricular Dysfunction in Ischemic Heart Failure. Crit Pathw Cardiol 2016; 15:174-178. [PMID: 27846011 DOI: 10.1097/hpc.0000000000000094] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
OBJECTIVE The red cell distribution width (RDW), a simple and widely available marker, has been linked with an increased risk of adverse outcomes in patients with heart failure (HF) and risk of death, and cardiovascular events in those with previous myocardial infarction, but its relation with the severity of left ventricular (LV) dysfunction is not fully investigated. The aim of this study was to assess the prognostic value of the RDW in post myocardial infarction patients with typical signs and symptoms of HF and with reduced LV ejection fraction (EF). METHODS Patients (n = 350) came from an ongoing registry of consecutive patients who admitted for ischemic heart disease at our center. All patients were followed up 1 year after the initial hospitalization by telephone interviews. The outcomes studied were mortality and hospitalization because of decompensated HF. RESULTS RDW-coefficient of variation (express in percentage) was calculated from SD of mean corpuscular volume and mean corpuscular volume itself. Using logistic regression analysis, 3 variables consisting age, RDW level, and hemoglobin were identified as independent predictors of severe LV dysfunction (LVEF <30%). Levels of RDW were associated with the presence of severe LV dysfunction, with an accuracy of 61.4% (95% confidence interval: 56.2%-66.4%) and 66.9% (95% confidence interval: 61.8%-71.6%), using cut-off values of higher than 13.5 and 13.8, respectively. CONCLUSION Our results suggest that elevated RDW may be used as a prognostic tool among HF patients with the documented myocardial infarction because it is an inexpensive, rapidly calculated test that is already routinely in use in practice.
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Affiliation(s)
- Ali Bozorgi
- From the *Department of Electrophysiology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; †Department of Cardiology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; ‡Department of Anesthesiology, Iran University of Medical Sciences, Tehran, Iran; §Department of Emergency Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran; and ¶Department of Clinical and Basic Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
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