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Background: Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. Methods: Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. Findings: In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2-128·4), with a global prevalence of 1·52% (95% UI 1·33-1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41-17·87] in those aged 80-84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2-74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. Interpretation: The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. Funding: Bill & Melinda Gates Foundation.
Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
Kim, Min Seo;Hwang, Jimin;Yon, Dong Keon;Lee, Seung Won;Jung, Se Yong;Park, Seoyeon;Johnson, Catherine Owens;Stark, Benjamin A;Razo, Christian;Abbasian, Mohammadreza;Abbastabar, Hedayat;Abhari, Amir Parsa;Aboyans, Victor;Adane, Denberu Eshetie Adane;Adebayo, Oladimeji M;Alahdab, Fares;Almustanyir, Sami;Aly, Hany;Ameyaw, Edward Kwabena;Anderson, Jason A;Andrei, Catalina Liliana;Aryan, Zahra;Aujayeb, Avinash;Bagherieh, Sara;Baltatu, Ovidiu Constantin;Banach, Maciej;Bayileyegn, Nebiyou Simegnew;Bearne, Lindsay M;Behnoush, Amir Hossein;Bensenor, Isabela M;Bhaskar, Sonu;Bhat, Ajay Nagesh;Bhat, Vivek;Bikbov, Boris;Bintoro, Bagas Suryo;Burkart, Katrin;Cámera, Luis Alberto;Catapano, Alberico L;Chandrasekar, Eeshwar K;Charan, Jaykaran;Chattu, Vijay Kumar;Chi, Gerald;Chukwu, Isaac Sunday;Chung, Sheng-Chia;Cirillo, Massimo;Coberly, Kaleb;Costa, Vera Marisa;Dadras, Omid;Dai, Xiaochen;Do, Thanh Chi;Doshi, Rajkumar;Ekholuenetale, Michael;Elgendy, Islam Y;Elhadi, Muhammed;Fagbamigbe, Adeniyi Francis;Feizkhah, Alireza;Fekadu, Ginenus;Gill, Paramjit Singh;Goldust, Mohamad;Golechha, Mahaveer;Guan, Shi-Yang;Gupta, Vivek Kumar;Hadei, Mostafa;Hadi, Najah R;Hammoud, Ahmad;Hankey, Graeme J;Harlianto, Netanja I;Hasaballah, Ahmed I;Hassan, Shoaib;Hassen, Mohammed Bheser;Heidari, Golnaz;Hostiuc, Mihaela;Ilesanmi, Olayinka Stephen;Iwagami, Masao;Jokar, Mohammad;Jonas, Jost B;Joshua, Charity Ehimwenma;Jozwiak, Jacek Jerzy;Kazemian, Sina;Keykhaei, Mohammad;Khalaji, Amirmohammad;Khan, Moien AB;Khateri, Sorour;Kibret, Biruk Getahun;Korzh, Oleksii;Koulmane Laxminarayana, Sindhura Lakshmi;Krishan, Kewal;Kumar, Akshay;Kumar, Manoj;Kuttikkattu, Ambily;Laksono, Tri;Larijani, Bagher;Le, Thao Thi Thu;Lim, Stephen S;Liu, Xuefeng;Lorkowski, Stefan;Magdy Abd El Razek, Hassan;Malhotra, Kashish;Manla, Yosef;Maugeri, Andrea;Mentis, Alexios-Fotios A;Mestrovic, Tomislav;Micheletti Gomide Nogueira de Sá, Ana Carolina;Mirica, Andreea;Mirrakhimov, Erkin M;Misganaw, Awoke;Mishra, Manish;Mohammad, Yousef;Mokdad, Ali H;Moni, Mohammad Ali;Montasir, Ahmed Al;Moradi, Yousef;Moraga, Paula;Morovatdar, Negar;Mousavi-Aghdas, Seyed Ali;Murray, Christopher J L;Naghavi, Mohsen;Nair, Tapas Sadasivan;Nassereldine, Hasan;Natto, Zuhair S;Nguyen, Dang H;Nguyen, Hien Quang;Nguyen, Van Thanh;Noubiap, Jean Jacques;Oancea, Bogdan;Oliveira, Gláucia Maria Moraes;Owolabi, Mayowa O;Padron-Monedero, Alicia;Perico, Norberto;Petcu, Ionela-Roxana;Radfar, Amir;Rafferty, Quinn;Rahman, Mosiur;Rahman, Muhammad Aziz;Ram, Pradhum;Rashedi, Sina;Rashid, Ahmed Mustafa;Rawaf, Salman;Remuzzi, Giuseppe;Renzaho, Andre M N;Rezaee, Malihe;Roever, Leonardo;Saad, Aly M A;Saadatagah, Seyedmohammad;Sadeghi, Masoumeh;Sahebkar, Amirhossein;Saleh, Mohamed A;Samy, Abdallah M;Santric-Milicevic, Milena M;Sepanlou, Sadaf G;Seylani, Allen;Sharfaei, Sadaf;Shorofi, Seyed Afshin;Singh, Jasvinder A;Singh, Paramdeep;Spartalis, Michael;Sundström, Johan;Tan, Ker-Kan;Teramoto, Masayuki;Tharwat, Samar;Tyrovolas, Stefanos;Valadan Tahbaz, Sahel;Van den Eynde, Jef;Vart, Priya;Wang, Cong;Wang, Fang;Westerman, Ronny;Xia, Juan;Xu, Suowen;Yada, Dereje Y;Yamagishi, Kazumasa;Yonemoto, Naohiro;Zahir, Mazyar;Zangiabadian, Moein;Zarrintan, Armin;Zastrozhin, Mikhail Sergeevich;Zastrozhina, Anasthasia;Zoladl, Mohammad;Hay, Simon I;Shin, Jae Il;Roth, Gregory A
2023-01-01
Abstract
Background: Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. Methods: Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. Findings: In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2-128·4), with a global prevalence of 1·52% (95% UI 1·33-1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41-17·87] in those aged 80-84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2-74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. Interpretation: The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. Funding: Bill & Melinda Gates Foundation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4843071
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.