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Feigin VL, Stark BA, Johnson CO, Roth GA, Bisignano C, Abady GG, Abbasifard M, Abbasi-Kangevari M, Abd-Allah F, Abedi V, Abualhasan A, Abu-Rmeileh NME, Abushouk AI, Adebayo OM, Agarwal G, Agasthi P, Ahinkorah BO, Ahmad S, Ahmadi S, Ahmed Salih Y, Aji B, Akbarpour S, Akinyemi RO, Al Hamad H, Alahdab F, Alif SM, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Al-Shahi Salman R, Alvis-Guzman N, Ancuceanu R, Anderlini D, Anderson JA, Ansar A, Antonazzo IC, Arabloo J, Ärnlöv J, Artanti KD, Aryan Z, Asgari S, Ashraf T, Athar M, Atreya A, Ausloos M, Baig AA, Baltatu OC, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barone MTU, Basu S, Bazmandegan G, Beghi E, Beheshti M, Béjot Y, Bell AW, Bennett DA, Bensenor IM, Bezabhe WM, Bezabih YM, Bhagavathula AS, Bhardwaj P, Bhattacharyya K, Bijani A, Bikbov B, Birhanu MM, Boloor A, Bonny A, Brauer M, Brenner H, Bryazka D, Butt ZA, Caetano dos Santos FL, Campos-Nonato IR, Cantu-Brito C, Carrero JJ, Castañeda-Orjuela CA, Catapano AL, 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Zamanian M, Zand R, Zandifar A, Zastrozhin MS, Zastrozhina A, Zhang Y, Zhang ZJ, Zhong C, Zuniga YMH, Murray CJL. Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20:795-820. [PMID: 34487721 PMCID: PMC8443449 DOI: 10.1016/s1474-4422(21)00252-0] [Show More Authors] [Citation(s) in RCA: 3596] [Impact Index Per Article: 899.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 07/01/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. METHODS We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FINDINGS In 2019, there were 12·2 million (95% UI 11·0-13·6) incident cases of stroke, 101 million (93·2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6·55 million (6·00-7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8-12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1-6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0-73·0), prevalent strokes increased by 85·0% (83·0-88·0), deaths from stroke increased by 43·0% (31·0-55·0), and DALYs due to stroke increased by 32·0% (22·0-42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0-18·0), mortality decreased by 36·0% (31·0-42·0), prevalence decreased by 6·0% (5·0-7·0), and DALYs decreased by 36·0% (31·0-42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0-24·0) and incidence rates increased by 15·0% (12·0-18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5-3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5-3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57-8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97-3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01-1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7-90·8] DALYs or 55·5% [48·2-62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3-48·6] DALYs or 24·3% [15·7-33·2]), high fasting plasma glucose (28·9 million [19·8-41·5] DALYs or 20·2% [13·8-29·1]), ambient particulate matter pollution (28·7 million [23·4-33·4] DALYs or 20·1% [16·6-23·0]), and smoking (25·3 million [22·6-28·2] DALYs or 17·6% [16·4-19·0]). INTERPRETATION The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. FUNDING Bill & Melinda Gates Foundation.
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Mueller UO, Mulita F, Mulita A, Murillo-Zamora E, Musa KI, Mwita JC, Nagaraju SP, Naghavi M, Nainu F, Nair TS, Najmuldeen HHR, Nangia V, Nargus S, Naser AY, Nassereldine H, Natto ZS, Nauman J, Nayak BP, Ndejjo R, Negash H, Negoi RI, Nguyen HTH, Nguyen DH, Nguyen PT, Nguyen VT, Nguyen HQ, Niazi RK, Nigatu YT, Ningrum DNA, Nizam MA, Nnyanzi LA, Noreen M, Noubiap JJ, Nzoputam OJ, Nzoputam CI, Oancea B, Odogwu NM, Odukoya OO, Ojha VA, Okati-Aliabad H, Okekunle AP, Okonji OC, Okwute PG, Olufadewa II, Onwujekwe OE, Ordak M, Ortiz A, Osuagwu UL, Oulhaj A, Owolabi MO, Padron-Monedero A, Padubidri JR, Palladino R, Panagiotakos D, Panda-Jonas S, Pandey A, Pandey A, Pandi-Perumal SR, Pantea Stoian AM, Pardhan S, Parekh T, Parekh U, Pasovic M, Patel J, Patel JR, Paudel U, Pepito VCF, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Podder V, Postma MJ, Pourali G, Pourtaheri N, Prates EJS, Qadir MMF, Qattea I, Raee P, Rafique I, Rahimi M, Rahimifard M, Rahimi-Movaghar V, Rahman MO, Rahman MA, Rahman MHU, Rahman M, Rahman MM, Rahmani M, Rahmani S, Rahmanian V, Rahmawaty S, Rahnavard N, Rajbhandari B, Ram P, Ramazanu S, Rana J, Rancic N, Ranjha MMAN, Rao CR, Rapaka D, Rasali DP, Rashedi S, Rashedi V, Rashid AM, Rashidi MM, Ratan ZA, Rawaf S, Rawal L, Redwan EMM, Remuzzi G, Rengasamy KRR, Renzaho AMN, Reyes LF, Rezaei N, Rezaei N, Rezaeian M, Rezazadeh H, Riahi SM, Rias YA, Riaz M, Ribeiro D, Rodrigues M, Rodriguez JAB, Roever L, Rohloff P, Roshandel G, Roustazadeh A, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabour S, Sabzmakan L, Saddik B, Sadeghi E, Saeed U, Saeedi Moghaddam S, Safi S, Safi SZ, Saghazadeh A, Saheb Sharif-Askari N, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sahoo H, Saif-Ur-Rahman KM, Sajid MR, Salahi S, Salahi S, Saleh MA, Salehi MA, Salomon JA, Sanabria J, Sanjeev RK, Sanmarchi F, Santric-Milicevic MM, Sarasmita MA, Sargazi S, Sathian B, Sathish T, Sawhney M, Schlaich MP, Schmidt MI, Schuermans A, Seidu AA, Senthil Kumar N, Sepanlou SG, Sethi Y, Seylani A, Shabany M, Shafaghat T, Shafeghat M, Shafie M, Shah NS, Shahid S, Shaikh MA, Shanawaz M, Shannawaz M, Sharfaei S, Shashamo BB, Shiri R, Shittu A, Shivakumar KM, Shivalli S, Shobeiri P, Shokri F, Shuval K, Sibhat MM, Silva LMLR, Simpson CR, Singh JA, Singh P, Singh S, Siraj MS, Skryabina AA, Sohag AAM, Soleimani H, Solikhah S, Soltani-Zangbar MS, Somayaji R, Sorensen RJD, Starodubova AV, Sujata S, Suleman M, Sun J, Sundström J, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaeizadeh SA, Tabish M, Taheri M, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Taye BT, Temesgen WA, Temsah MH, Tesler R, Thangaraju P, Thankappan KR, Thapa R, Tharwat S, Thomas N, Ticoalu JHV, Tiyuri A, Tonelli M, Tovani-Palone MR, Trico D, Trihandini I, Tripathy JP, Tromans SJ, Tsegay GM, Tualeka AR, Tufa DG, Tyrovolas S, Ullah S, Upadhyay E, Vahabi SM, Vaithinathan AG, Valizadeh R, van Daalen KR, Vart P, Varthya SB, Vasankari TJ, Vaziri S, Verma MV, Verras GI, Vo DC, Wagaye B, Waheed Y, Wang Z, Wang Y, Wang C, Wang F, Wassie GT, Wei MYW, Weldemariam AH, Westerman R, Wickramasinghe ND, Wu Y, Wulandari RDWI, Xia J, Xiao H, Xu S, Xu X, Yada DY, Yang L, Yatsuya H, Yesiltepe M, Yi S, Yohannis HK, Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Show More Authors] [Citation(s) in RCA: 1545] [Impact Index Per Article: 772.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D, Pennini A, Xu R, Ababneh E, Abbasi-Kangevari M, Abbastabar H, Abd-Elsalam SM, Abdoli A, Abedi A, Abidi H, Abolhassani H, Adedeji IA, Adnani QES, Advani SM, Afzal MS, Aghaali M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Akalu GT, Aklilu A, Akram T, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Ali S, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almasi-Hashiani A, Almasri NA, Al-Maweri SAA, Almustanyir S, Alonso N, Alvis-Guzman N, Amu H, Anbesu EW, Ancuceanu R, Ansari F, Ansari-Moghaddam A, Antwi MH, Anvari D, Anyasodor AE, Aqeel M, Arabloo J, Arab-Zozani M, Aremu O, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Asemi Z, Asghari Jafarabadi M, Ashraf T, Atorkey P, Aujayeb A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayenew T, Azab MA, Azadnajafabad S, Azari Jafari A, Azarian G, Azzam AY, Badiye AD, Bahadory S, Baig AA, Baker JL, Balakrishnan S, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Behzadifar M, Belgaumi UI, Bezabhe WMM, Bezabih YM, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, et alKocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, Harvey JD, Henrikson HJ, Lu D, Pennini A, Xu R, Ababneh E, Abbasi-Kangevari M, Abbastabar H, Abd-Elsalam SM, Abdoli A, Abedi A, Abidi H, Abolhassani H, Adedeji IA, Adnani QES, Advani SM, Afzal MS, Aghaali M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi A, Ahmadi S, Ahmed Rashid T, Ahmed Salih Y, Akalu GT, Aklilu A, Akram T, Akunna CJ, Al Hamad H, Alahdab F, Al-Aly Z, Ali S, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Almasi-Hashiani A, Almasri NA, Al-Maweri SAA, Almustanyir S, Alonso N, Alvis-Guzman N, Amu H, Anbesu EW, Ancuceanu R, Ansari F, Ansari-Moghaddam A, Antwi MH, Anvari D, Anyasodor AE, Aqeel M, Arabloo J, Arab-Zozani M, Aremu O, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Asemi Z, Asghari Jafarabadi M, Ashraf T, Atorkey P, Aujayeb A, Ausloos M, Awedew AF, Ayala Quintanilla BP, Ayenew T, Azab MA, Azadnajafabad S, Azari Jafari A, Azarian G, Azzam AY, Badiye AD, Bahadory S, Baig AA, Baker JL, Balakrishnan S, Banach M, Bärnighausen TW, Barone-Adesi F, Barra F, Barrow A, Behzadifar M, Belgaumi UI, Bezabhe WMM, Bezabih YM, Bhagat DS, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bibi S, Bijani A, Biondi A, Bisignano C, Bjørge T, Bleyer A, Blyuss O, Bolarinwa OA, Bolla SR, Braithwaite D, Brar A, Brenner H, Bustamante-Teixeira MT, Butt NS, Butt ZA, Caetano Dos Santos FL, Cao Y, Carreras G, Catalá-López F, Cembranel F, Cerin E, Cernigliaro A, Chakinala RC, Chattu SK, Chattu VK, Chaturvedi P, Chimed-Ochir O, Cho DY, Christopher DJ, Chu DT, Chung MT, Conde J, Cortés S, Cortesi PA, Costa VM, Cunha AR, Dadras O, Dagnew AB, Dahlawi SMA, Dai X, Dandona L, Dandona R, Darwesh AM, das Neves J, De la Hoz FP, Demis AB, Denova-Gutiérrez E, Dhamnetiya D, Dhimal ML, Dhimal M, Dianatinasab M, Diaz D, Djalalinia S, Do HP, Doaei S, Dorostkar F, Dos Santos Figueiredo FW, Driscoll TR, Ebrahimi H, Eftekharzadeh S, El Tantawi M, El-Abid H, Elbarazi I, Elhabashy HR, Elhadi M, El-Jaafary SI, Eshrati B, Eskandarieh S, Esmaeilzadeh F, Etemadi A, Ezzikouri S, Faisaluddin M, Faraon EJA, Fares J, Farzadfar F, Feroze AH, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Fisher JL, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gallus S, Gaspar Fonseca M, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gholamalizadeh M, Gilani SA, Ginindza TG, Gizaw ATT, Glasbey JC, Golechha M, Goleij P, Gomez RS, Gopalani SV, Gorini G, Goudarzi H, Grosso G, Gubari MIM, Guerra MR, Guha A, Gunasekera DS, Gupta B, Gupta VB, Gupta VK, Gutiérrez RA, Hafezi-Nejad N, Haider MR, Haj-Mirzaian A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Haque S, Harlianto NI, Haro JM, Hasaballah AI, Hassanipour S, Hay RJ, Hay SI, Hayat K, Heidari G, Heidari M, Herrera-Serna BY, Herteliu C, Hezam K, Holla R, Hossain MM, Hossain MBH, Hosseini MS, Hosseini M, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Hsairi M, Huang J, Hugo FN, Hussain R, Hussein NR, Hwang BF, Iavicoli I, Ibitoye SE, Ida F, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Irham LM, Islam JY, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jain V, Jakovljevic MB, Javaheri T, Jayaram S, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joseph N, Joukar F, Jürisson M, Kabir A, Kahrizi D, Kalankesh LR, Kalhor R, Kaliyadan F, Kalkonde Y, Kamath A, Kameran Al-Salihi N, Kandel H, Kapoor N, Karch A, Kasa AS, Katikireddi SV, Kauppila JH, Kavetskyy T, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khalilov R, Khan G, Khan M, Khan MN, Khan MAB, Khang YH, Khater AM, Khayamzadeh M, Kim GR, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kopec JA, Koteeswaran R, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Kucuk Bicer B, Kugbey N, Kumar GA, Kumar N, Kumar N, Kurmi OP, Kutluk T, La Vecchia C, Lami FH, Landires I, Lauriola P, Lee SW, Lee SWH, Lee WC, Lee YH, Leigh J, Leong E, Li J, Li MC, Liu X, Loureiro JA, Lunevicius R, Magdy Abd El Razek M, Majeed A, Makki A, Male S, Malik AA, Mansournia MA, Martini S, Masoumi SZ, Mathur P, McKee M, Mehrotra R, Mendoza W, Menezes RG, Mengesha EW, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Miazgowski T, Michalek IM, Miller TR, Mirzaei H, Mirzaei HR, Misra S, Mithra P, Moghadaszadeh M, Mohammad KA, Mohammad Y, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammed S, Moka N, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moosavi MA, Moradi Y, Moraga P, Morgado-da-Costa J, Morrison SD, Mosapour A, Mubarik S, Mwanri L, Nagarajan AJ, Nagaraju SP, Nagata C, Naimzada MD, Nangia V, Naqvi AA, Narasimha Swamy S, Ndejjo R, Nduaguba SO, Negoi I, Negru SM, Neupane Kandel S, Nguyen CT, Nguyen HLT, Niazi RK, Nnaji CA, Noor NM, Nuñez-Samudio V, Nzoputam CI, Oancea B, Ochir C, Odukoya OO, Ogbo FA, Olagunju AT, Olakunde BO, Omar E, Omar Bali A, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Owolabi MO, P A M, Padubidri JR, Pakshir K, Pana A, Panagiotakos D, Panda-Jonas S, Pardhan S, Park EC, Park EK, Pashazadeh Kan F, Patel HK, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira DM, Pereira RB, Perianayagam A, Pillay JD, Pirouzpanah S, Pishgar F, Podder I, Postma MJ, Pourjafar H, Prashant A, Preotescu L, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Rafiee A, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajai N, Rajesh A, Rakovac I, Ram P, Ramezanzadeh K, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rawassizadeh R, Razeghinia MS, Renzaho AMN, Rezaei N, Rezaei N, Rezapour A, Roberts TJ, Rodriguez JAB, Rohloff P, Romoli M, Ronfani L, Roshandel G, Rwegerera GM, S M, Sabour S, Saddik B, Saeed U, Sahebkar A, Sahoo H, Salehi S, Salem MR, Salimzadeh H, Samaei M, Samy AM, Sanabria J, Sankararaman S, Santric-Milicevic MM, Sardiwalla Y, Sarveazad A, Sathian B, Sawhney M, Saylan M, Schneider IJC, Sekerija M, Seylani A, Shafaat O, Shaghaghi Z, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikh A, Sheikhbahaei S, Shetty A, Shetty JK, Shetty PH, Shibuya K, Shirkoohi R, Shivakumar KM, Shivarov V, Siabani S, Siddappa Malleshappa SK, Silva DAS, Singh JA, Sintayehu Y, Skryabin VY, Skryabina AA, Soeberg MJ, Sofi-Mahmudi A, Sotoudeh H, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Sultan I, Sultana S, Sur D, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tabuchi T, Tadbiri H, Taherkhani A, Takahashi K, Talaat IM, Tan KK, Tat VY, Tedla BAA, Tefera YG, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tessema GA, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Tohidinik HR, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran KB, Tran MTN, Tripathy JP, Tusa BS, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Vacante M, Vaezi M, Valadan Tahbaz S, Velazquez DZ, Veroux M, Violante FS, Vlassov V, Vo B, Volovici V, Vu GT, Waheed Y, Wamai RG, Ward P, Wen YF, Westerman R, Winkler AS, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazie TSY, Yeshaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yuce D, Yunusa I, Zadnik V, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhong C, Zhou L, Zhu C, Ziapour A, Zimmermann IR, Fitzmaurice C, Murray CJL, Force LM. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019: A Systematic Analysis for the Global Burden of Disease Study 2019. JAMA Oncol 2022; 8:420-444. [PMID: 34967848 PMCID: PMC8719276 DOI: 10.1001/jamaoncol.2021.6987] [Show More Authors] [Citation(s) in RCA: 1073] [Impact Index Per Article: 357.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 10/07/2021] [Indexed: 12/12/2022] [Imported: 01/11/2025]
Abstract
IMPORTANCE The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. OBJECTIVE To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. EVIDENCE REVIEW The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). FINDINGS In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. CONCLUSIONS AND RELEVANCE The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.
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Ferrari AJ, Santomauro DF, Aali A, Abate YH, Abbafati C, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdollahi A, Abdullahi A, Abegaz KH, Abeldaño Zuñiga RA, Aboagye RG, Abolhassani H, Abreu LG, Abualruz H, Abu-Gharbieh E, Abu-Rmeileh NME, Ackerman IN, Addo IY, Addolorato G, Adebiyi AO, Adepoju AV, Adewuyi HO, Afyouni S, Afzal S, Afzal S, Agodi A, Ahmad A, Ahmad D, Ahmad F, Ahmad S, Ahmed A, Ahmed LA, Ahmed MB, Ajami M, Akinosoglou K, Akkaif MA, Al Hasan SM, Alalalmeh SO, Al-Aly Z, Albashtawy M, Aldridge RW, Alemu MD, Alemu YM, Alene KA, Al-Gheethi AAS, Alharrasi M, Alhassan RK, Ali MU, Ali R, Ali SSS, Alif SM, Aljunid SM, Al-Marwani S, Almazan JU, Alomari MA, Al-Omari B, Altaany Z, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly S, Alzoubi KH, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amugsi DA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Ansari H, Antony CM, Anwar S, Anwar SL, Anwer R, Anyanwu PE, Arab JP, Arabloo J, Arafat M, Araki DT, Aravkin AY, Arkew M, Armocida B, Arndt MB, Arooj M, Artamonov AA, Aruleba RT, Arumugam A, Ashbaugh C, Ashemo MY, Ashraf M, et alFerrari AJ, Santomauro DF, Aali A, Abate YH, Abbafati C, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdollahi A, Abdullahi A, Abegaz KH, Abeldaño Zuñiga RA, Aboagye RG, Abolhassani H, Abreu LG, Abualruz H, Abu-Gharbieh E, Abu-Rmeileh NME, Ackerman IN, Addo IY, Addolorato G, Adebiyi AO, Adepoju AV, Adewuyi HO, Afyouni S, Afzal S, Afzal S, Agodi A, Ahmad A, Ahmad D, Ahmad F, Ahmad S, Ahmed A, Ahmed LA, Ahmed MB, Ajami M, Akinosoglou K, Akkaif MA, Al Hasan SM, Alalalmeh SO, Al-Aly Z, Albashtawy M, Aldridge RW, Alemu MD, Alemu YM, Alene KA, Al-Gheethi AAS, Alharrasi M, Alhassan RK, Ali MU, Ali R, Ali SSS, Alif SM, Aljunid SM, Al-Marwani S, Almazan JU, Alomari MA, Al-Omari B, Altaany Z, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly S, Alzoubi KH, Amare AT, Amegbor PM, Ameyaw EK, 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Wu Z, Wulf Hanson S, Xia Y, Xiao H, Xu X, Xu YY, Yadav L, Yadollahpour A, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yao Y, Yaribeygi H, Yazdanpanah MH, Ye P, Yehualashet SS, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zielińska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. 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 PMCID: PMC11122111 DOI: 10.1016/s0140-6736(24)00757-8] [Show More Authors] [Citation(s) in RCA: 956] [Impact Index Per Article: 956.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024] [Imported: 01/11/2025]
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 PMCID: PMC11120204 DOI: 10.1016/s0140-6736(24)00933-4] [Show More Authors] [Citation(s) in RCA: 544] [Impact Index Per Article: 544.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024] [Imported: 01/11/2025]
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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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] [Show More Authors] [Citation(s) in RCA: 468] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [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] [Imported: 12/03/2024]
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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Mensah GA, Fuster V, Murray CJL, Roth GA. Global Burden of Cardiovascular Diseases and Risks, 1990-2022. J Am Coll Cardiol 2023; 82:2350-2473. [PMID: 38092509 PMCID: PMC7615984 DOI: 10.1016/j.jacc.2023.11.007] [Citation(s) in RCA: 461] [Impact Index Per Article: 230.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023] [Imported: 01/11/2025]
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Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Show More Authors] [Citation(s) in RCA: 385] [Impact Index Per Article: 385.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024] [Imported: 01/11/2025]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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Ilic IM, Ilic MD, Innos K, Irham LM, Islam RM, Islam SMS, Ismail NE, Isola G, Iwagami M, Jacob L, Jadidi-Niaragh F, Jain V, Jakovljevic M, Janghorban R, Javadi Mamaghani A, Jayaram S, Jayawardena R, Jazayeri SB, Jebai R, Jha RP, Joo T, Joseph N, Joukar F, Jürisson M, Kaambwa B, Kabir A, Kalankesh LR, Kaliyadan F, Kamal Z, Kamath A, Kandel H, Kar SS, Karaye IM, Karimi A, Kassa BG, Kauppila JH, Kemp Bohan PM, Kengne AP, Kerbo AA, Keykhaei M, Khader YS, Khajuria H, Khalili N, Khalili N, Khan EA, Khan G, Khan M, Khan MN, Khan MAB, Khanali J, Khayamzadeh M, Khosravizadeh O, Khubchandani J, Khundkar R, Kim MS, Kim YJ, Kisa A, Kisa S, Kissimova-Skarbek K, Kolahi AA, Kopec JA, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Kugbey N, Kumar GA, Kumar N, Kwarteng A, La Vecchia C, Lan Q, Landires I, Lasrado S, Lauriola P, Ledda C, Lee SW, Lee WC, Lee YY, Lee YH, Leigh J, Leong E, Li B, Li J, Li MC, Lim SS, Liu X, Lobo SW, Loureiro JA, Lugo A, Lunevicius R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahmoudi M, Majeed A, Makki A, Male S, Malekpour MR, Malekzadeh R, Malik AA, Mamun MA, Manafi N, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Martini S, Masoumi SZ, Matei CN, Mathur MR, McAlinden C, Mehrotra R, Mendoza W, Menezes RG, Mentis AFA, Meretoja TJ, Mersha AG, Mesregah MK, Mestrovic T, Miao Jonasson J, Miazgowski B, Michalek IM, Miller TR, Mingude AB, Mirmoeeni S, Mirzaei H, Misra S, Mithra P, Mohammad KA, Mohammadi M, Mohammadi SM, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohammed TA, Moka N, Mokdad AH, Molokhia M, Momtazmanesh S, Monasta L, Moni MA, Moradi G, Moradi Y, Moradzadeh M, Moradzadeh R, Moraga P, Morrison SD, Mostafavi E, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mwanri L, Nabhan AF, Nagaraju SP, Nagata C, Naghavi M, Naimzada MD, Naldi L, Nangia V, Naqvi AA, Narasimha Swamy S, Narayana AI, Nayak BP, Nayak VC, Nazari J, Nduaguba SO, Negoi I, Negru SM, Nejadghaderi SA, Nepal S, Neupane Kandel S, Nggada HA, Nguyen CT, Nnaji CA, Nosrati H, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nwatah VE, Nzoputam CI, Oancea B, Odukoya OO, Oguntade AS, Oh IH, Olagunju AT, Olagunju TO, Olakunde BO, Oluwasanu MM, Omar E, Omar Bali A, Ong S, Onwujekwe OE, Ortega-Altamirano DV, Otstavnov N, Otstavnov SS, Oumer B, Owolabi MO, P A M, Padron-Monedero A, Padubidri JR, Pakshir K, Pana A, Pandey A, Pardhan S, Pashazadeh Kan F, Pasovic M, Patel JR, Pati S, Pattanshetty SM, Paudel U, Pereira RB, Peres MFP, Perianayagam A, Postma MJ, Pourjafar H, Pourshams A, Prashant A, Pulakunta T, Qadir MMFF, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Rafiee A, Rafiei A, Rafiei S, Rahim F, Rahimzadeh S, Rahman M, Rahman MA, Rahmani AM, Rajesh A, Ramezani-Doroh V, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi M, Rashidi MM, Rath GK, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Regasa MT, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaeian M, Rezapour A, Rezazadeh-Khadem S, Riad A, Rios Lopez LE, Rodriguez JAB, Ronfani L, Roshandel G, Rwegerera GM, Saber-Ayad MM, Sabour S, Saddik B, Sadeghi E, Sadeghian S, Saeed U, Sahebkar A, Saif-Ur-Rahman KM, Sajadi SM, Salahi S, Salehi S, Salem MR, Salimzadeh H, Samy AM, Sanabria J, Sanmarchi F, Sarveazad A, Sathian B, Sawhney M, Sawyer SM, Saylan M, Schneider IJC, Seidu AA, Šekerija M, Sendo EG, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shaikh MA, Shamsoddin E, Shannawaz M, Sharma R, Sheikhbahaei S, Shetty A, Shetty BSK, Shetty PH, Shin JI, Shirkoohi R, Shivakumar KM, Shobeiri P, Siabani S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva Julian G, Singh AD, Singh JA, Singh JK, Singh S, Sinke AH, Sintayehu Y, Skryabin VY, Skryabina AA, Smith L, Sofi-Mahmudi A, Soltani-Zangbar MS, Song S, Spurlock EE, Steiropoulos P, Straif K, Subedi R, Sufiyan MB, Suliankatchi Abdulkader R, Sultana S, Szerencsés V, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabary M, Tabuchi T, Tadbiri H, Taheri M, Taherkhani A, Takahashi K, Tampa M, Tan KK, Tat VY, Tavakoli A, Tbakhi A, Tehrani-Banihashemi A, Temsah MH, Tesfay FH, Tesfaye B, Thakur JS, Thapar R, Thavamani A, Thiyagarajan A, Thomas N, Tobe-Gai R, Togtmol M, Tohidast SA, Tohidinik HR, Tolani MA, Tollosa DN, Touvier M, Tovani-Palone MR, Traini E, Tran BX, Tran MTN, Tripathy JP, Tusa BS, Ukke GG, Ullah I, Ullah S, Umapathi KK, Unnikrishnan B, Upadhyay E, Ushula TW, Vacante M, Valadan Tahbaz S, Varthya SB, Veroux M, Villeneuve PJ, Violante FS, Vlassov V, Vu GT, Waheed Y, Wang N, Ward P, Weldesenbet AB, Wen YF, Westerman R, Winkler AS, Wubishet BL, Xu S, Yahyazadeh Jabbari SH, Yang L, Yaya S, Yazdi-Feyzabadi V, Yazie TS, Yehualashet SS, Yeshaneh A, Yeshaw Y, Yirdaw BW, Yonemoto N, Younis MZ, Yousefi Z, Yu C, Yunusa I, Zadnik V, Zahir M, Zahirian Moghadam T, Zamani M, Zamanian M, Zandian H, Zare F, Zastrozhin MS, Zastrozhina A, Zhang J, Zhang ZJ, Ziapour A, Zoladl M, Murray CJL, Fitzmaurice C, Bleyer A, Bhakta N. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Oncol 2022; 23:27-52. [PMID: 34871551 PMCID: PMC8716339 DOI: 10.1016/s1470-2045(21)00581-7] [Show More Authors] [Citation(s) in RCA: 144] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/28/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. METHODS Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. FINDINGS There were 1·19 million (95% UI 1·11-1·28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59·6 [54·5-65·7] per 100 000 person-years) and high-middle SDI countries (53·2 [48·8-57·9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14·2 [12·9-15·6] per 100 000 person-years) and middle SDI (13·6 [12·6-14·8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23·5 million (21·9-25·2) DALYs to the global burden of disease, of which 2·7% (1·9-3·6) came from YLDs and 97·3% (96·4-98·1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. INTERPRETATION Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. FUNDING Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, St Baldrick's Foundation, and the National Cancer Institute.
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Isola G, Alibrandi A, Currò M, Matarese M, Ricca S, Matarese G, Ientile R, Kocher T. Evaluation of salivary and serum asymmetric dimethylarginine (ADMA) levels in patients with periodontal and cardiovascular disease as subclinical marker of cardiovascular risk. J Periodontol 2020; 91:1076-1084. [PMID: 31912509 DOI: 10.1002/jper.19-0446] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 11/18/2019] [Accepted: 12/09/2019] [Indexed: 02/05/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Asymmetric dimethylarginine (ADMA) plays a crucial role in endothelial function and maybe a link for the known interaction of periodontitis and coronary heart disease (CHD). In this pilot study, we compared the impact of gingival health, periodontitis (CP), CHD, or of both diseases (CP + CHD) on salivary and serum ADMA levels. METHODS The clinical and periodontal characteristics, serum, and saliva samples were collected from 35 patients with CP, 33 patients with CHD, 35 patients with both CP + CHD, and 35 healthy subjects. Levels of ADMA and C-reactive protein (CRP) were assessed with a commercially available kit. RESULTS The median (25% and 75% percentile) concentrations of salivary and serum ADMA were significantly higher in the CHD group [serum: 1.5 (1.2 to 1.8) μmol/L; salivary 1.3 (1 to 1.7) μmol/g protein, P < 0.01] and in the CP + CHD [serum: 1.8 (1.4 to 2.0) μmol/L; salivary 1.5 (1.2 to 1.7) μmol/g protein, P < 0.001] group compared to CP patients and controls. In univariate models, CP (P = 0.034), CHD (P < 0.001), and hs-CRP (P < 0.001) were significantly associated with serum ADMA, whereas in a multivariate model, hs-CRP remained a significant predictor of serum ADMA (P < 0.001). In a multivariate model, the significant predictors of salivary ADMA levels were hs-CRP (P < 0.001) and education socioeconomic status (P = 0.042). CONCLUSIONS Patients with CHD and CP + CHD presented higher levels of salivary and serum ADMA compared to healthy subjects and CP patients. hs-CRP was a significant predictor of increased salivary and serum ADMA levels.
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Micah AE, Bhangdia K, Cogswell IE, Lasher D, Lidral-Porter B, Maddison ER, Nguyen TNN, Patel N, Pedroza P, Solorio J, Stutzman H, Tsakalos G, Wang Y, Warriner W, Zhao Y, Zlavog BS, Abbafati C, Abbas J, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdelmasseh M, Abdulah DM, Abedi A, Abegaz KH, Abhilash ES, Aboagye RG, Abolhassani H, Abrigo MRM, Abubaker Ali H, Abu-Gharbieh E, Adem MH, Afzal MS, Ahmadi A, Ahmed H, Ahmed Rashid T, Aji B, Akbarialiabad H, Akelew Y, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Al-Hanawi MK, Alhassan RK, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Ameyaw EK, Amini-Rarani M, Amu H, Ancuceanu R, Andrei T, Anwar SL, Appiah F, Aqeel M, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Aruleba RT, Athari SS, Avila-Burgos L, Ayanore MA, Azari S, Baig AA, Bantie AT, Barrow A, Baskaran P, Basu S, Batiha AMM, Baune BT, Berezvai Z, Bhardwaj N, Bhardwaj P, Bhaskar S, Boachie MK, Bodolica V, Botelho JSB, Braithwaite D, Breitborde NJK, Busse R, Cahuana-Hurtado L, Catalá-López F, Chansa C, Charan J, Chattu VK, Chen S, Chukwu IS, Dadras O, Dandona L, Dandona R, Dargahi A, Debela SA, Denova-Gutiérrez E, Desye B, Dharmaratne SD, Diao N, et alMicah AE, Bhangdia K, Cogswell IE, Lasher D, Lidral-Porter B, Maddison ER, Nguyen TNN, Patel N, Pedroza P, Solorio J, Stutzman H, Tsakalos G, Wang Y, Warriner W, Zhao Y, Zlavog BS, Abbafati C, Abbas J, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abdelmasseh M, Abdulah DM, Abedi A, Abegaz KH, Abhilash ES, Aboagye RG, Abolhassani H, Abrigo MRM, Abubaker Ali H, Abu-Gharbieh E, Adem MH, Afzal MS, Ahmadi A, Ahmed H, Ahmed Rashid T, Aji B, Akbarialiabad H, Akelew Y, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Al-Hanawi MK, Alhassan RK, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Alvis-Zakzuk NJ, Amare AT, Ameyaw EK, Amini-Rarani M, Amu H, Ancuceanu R, Andrei T, Anwar SL, Appiah F, Aqeel M, Arabloo J, Arab-Zozani M, Aravkin AY, Aremu O, Aruleba RT, Athari SS, Avila-Burgos L, Ayanore MA, Azari S, Baig AA, Bantie AT, Barrow A, Baskaran P, Basu S, Batiha AMM, Baune BT, Berezvai Z, Bhardwaj N, Bhardwaj P, Bhaskar S, Boachie MK, Bodolica V, Botelho JSB, Braithwaite D, Breitborde NJK, Busse R, Cahuana-Hurtado L, Catalá-López F, Chansa C, Charan J, Chattu VK, Chen S, Chukwu IS, Dadras O, Dandona L, Dandona R, Dargahi A, Debela SA, Denova-Gutiérrez E, Desye B, Dharmaratne SD, Diao N, Doan LP, Dodangeh M, dos Santos WM, Doshmangir L, Dube J, Eini E, El Sayed Zaki M, El Tantawi M, Enyew DB, Eskandarieh S, Ezati Asar M, Fagbamigbe AF, Faraon EJA, Fatehizadeh A, Fattahi H, Fekadu G, Fischer F, Foigt NA, Fowobaje KR, Freitas A, Fukumoto T, Fullman N, Gaal PA, Gamkrelidze A, Garcia-Gordillo MA, Gebrehiwot M, Gerema U, Ghafourifard M, Ghamari SH, Ghanbari R, Ghashghaee A, Gholamrezanezhad A, Golechha M, Golinelli D, Goshu YA, Goyomsa GG, Guha A, Gunawardane DA, Gupta B, Hamidi S, Harapan H, Hashempour R, Hayat K, Heidari G, Heredia-Pi I, Herteliu C, Heyi DZ, Hezam K, Hiraike Y, Hlongwa MM, Holla R, Hoque ME, Hosseinzadeh M, Hostiuc S, Hussain S, Ilesanmi OS, Immurana M, Iradukunda A, Ismail NE, Isola G, J LM, Jakovljevic M, Jalili M, Janodia MD, Javaheri T, Jayapal SK, Jemere DM, Joo T, Joseph N, Jozwiak JJ, Jürisson M, Kaambwa B, Kadashetti V, Kadel R, Kadir DH, Kalankesh LR, Kamath R, Kandel H, Kantar RS, Karanth SD, Karaye IM, Karimi SE, Kassa BG, Kayode GA, Keikavoosi-Arani L, Keshri VR, Keskin C, Khader YS, Khafaie MA, Khajuria H, Khayat Kashani HR, Kifle ZD, Kim H, Kim J, Kim MS, Kim YJ, Kisa A, Kohler S, Kompani F, Kosen S, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kusuma D, Lám J, Lamnisos D, Larsson AO, Lee SW, Lee SWH, Lee WC, Lee YH, Lenzi J, Lim LL, Lorenzovici L, Lozano R, Machado VSM, Madadizadeh F, Magdy Abd El Razek M, Mahmoudi R, Majeed A, Malekpour MR, Manda AL, Mansouri B, Mansournia MA, Mantovani LG, Marrugo Arnedo CA, Martorell M, Masoud A, Mathews E, Maude RJ, Mechili EA, Mehrabi Nasab E, Mendes JJJM, Meretoja A, Meretoja TJ, Mesregah MK, Mestrovic T, Mirica A, Mirrakhimov EM, Mirutse MK, Mirza M, Mirza-Aghazadeh-Attari M, Misganaw A, Moccia M, Moghadasi J, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadshahi M, Mohammed S, Mohseni M, Mokdad AH, Monasta L, Mossialos E, Mostafavi E, Mousavi Isfahani H, Mpundu-Kaambwa C, Murthy S, Muthupandian S, Nagarajan AJ, Naidoo KS, Naimzada MD, Nangia V, Naqvi AA, Nayak BP, Ndejjo R, Nguyen TH, Noroozi N, Noubiap JJ, Nuruzzaman KM, Nzoputam CI, Nzoputam OJ, Oancea B, Obi FCA, Ogunkoya A, Oh IH, Okonji OC, Olagunju AT, Olagunju TO, Olakunde BO, Omar Bali A, Onwujekwe OE, Opio JN, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, Palicz T, Palladino R, Pana A, Parekh T, Pasupula DK, Patel J, Patton GC, Paudel U, Paun M, Pawar S, Perna S, Perumalsamy N, Petcu IR, Piracha ZZ, Poursadeqiyan M, Pourtaheri N, Prada SI, Rafiei S, Raghav PR, Rahim F, Rahman MHU, Rahman M, Rahmani AM, Ranabhat CL, Raru TB, Rashedi S, Rashidi MM, Ravangard R, Rawaf S, Rawassizadeh R, Redwan EMM, Reiner RC, Renzaho AMN, Rezaei M, Rezaei N, Riaz MA, Rodriguez JAB, Saad AMA, Saddik B, Sadeghian S, Saeb MR, Saeed U, Sahu M, Saki M, Salamati P, Salari H, Salehi S, Samy AM, Sanabria J, Sanmarchi F, Santos JV, Santric-Milicevic MM, Sao Jose BP, Sarikhani Y, Sathian B, Satpathy M, Savic M, Sayadi Y, Schwendicke F, Senthilkumaran S, Sepanlou SG, Serván-Mori E, Setshegetso N, Seylani A, Shahabi S, Shaikh MA, Shakhmardanov MZ, Shanawaz M, Sharew MMS, Sharew NT, Sharma R, Shayan M, Sheikh A, Shenoy SM, Shetty A, Shetty PH, Shivakumar KM, Silva LMLR, Simegn W, Singh JA, Singh K, Skhvitaridze N, Skryabin VY, Skryabina AA, Socea B, Solomon Y, Song S, Ștefan SC, Suleman M, Tabarés-Seisdedos R, Tat NY, Tat VY, Tefera BN, Tichopad A, Tobe-Gai R, Tovani-Palone MR, Tudor Car L, Tufa DG, Vasankari TJ, Vasic M, Vervoort D, Vlassov V, Vo B, Vu LG, Waheed Y, Wamai RG, Wang C, Wassie GT, Wickramasinghe ND, Yaya S, Yigit A, Yiğit V, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zaki L, Zaman BA, Zangeneh A, Zare Dehnavi A, Zastrozhin MS, Zeng W, Zhang ZJ, Zuhlke LJ, Zuniga YMH, Hay SI, Murray CJL, Dieleman JL. Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026. Lancet Glob Health 2023; 11:e385-e413. [PMID: 36706770 PMCID: PMC9998276 DOI: 10.1016/s2214-109x(23)00007-4] [Show More Authors] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 11/08/2022] [Accepted: 12/17/2022] [Indexed: 01/26/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic; characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic; and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. METHODS In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. FINDINGS In 2019, at the onset of the COVID-19 pandemic, US$9·2 trillion (95% uncertainty interval [UI] 9·1-9·3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7·3 trillion (95% UI 7·2-7·4) in 2019; 293·7 times the $24·8 billion (95% UI 24·3-25·3) spent by low-income countries in 2019. That same year, $43·1 billion in development assistance was provided to maintain or improve health. The pandemic led to an unprecedented increase in development assistance targeted towards health; in 2020 and 2021, $1·8 billion in DAH contributions was provided towards pandemic preparedness in LMICs, and $37·8 billion was provided for the health-related COVID-19 response. Although the support for pandemic preparedness is 12·2% of the recommended target by the High-Level Independent Panel (HLIP), the support provided for the health-related COVID-19 response is 252·2% of the recommended target. Additionally, projected spending estimates suggest that between 2022 and 2026, governments in 17 (95% UI 11-21) of the 137 LMICs will observe an increase in national government health spending equivalent to an addition of 1% of GDP, as recommended by the HLIP. INTERPRETATION There was an unprecedented scale-up in DAH in 2020 and 2021. We have a unique opportunity at this time to sustain funding for crucial global health functions, including pandemic preparedness. However, historical patterns of underfunding of pandemic preparedness suggest that deliberate effort must be made to ensure funding is maintained. FUNDING Bill & Melinda Gates Foundation.
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Di Stefano M, Polizzi A, Santonocito S, Romano A, Lombardi T, Isola G. Impact of Oral Microbiome in Periodontal Health and Periodontitis: A Critical Review on Prevention and Treatment. Int J Mol Sci 2022; 23:5142. [PMID: 35563531 PMCID: PMC9103139 DOI: 10.3390/ijms23095142] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 04/29/2022] [Accepted: 05/02/2022] [Indexed: 02/07/2023] [Imported: 01/11/2025] Open
Abstract
The skin, oral cavity, digestive and reproductive tracts of the human body harbor symbiotic and commensal microorganisms living harmoniously with the host. The oral cavity houses one of the most heterogeneous microbial communities found in the human organism, ranking second in terms of species diversity and complexity only to the gastrointestinal microbiota and including bacteria, archaea, fungi, and viruses. The accumulation of microbial plaque in the oral cavity may lead, in susceptible individuals, to a complex host-mediated inflammatory and immune response representing the primary etiological factor of periodontal damage that occurs in periodontitis. Periodontal disease is a chronic inflammatory condition affecting about 20-50% of people worldwide and manifesting clinically through the detection of gingival inflammation, clinical attachment loss (CAL), radiographic assessed resorption of alveolar bone, periodontal pockets, gingival bleeding upon probing, teeth mobility and their potential loss in advanced stages. This review will evaluate the changes characterizing the oral microbiota in healthy periodontal tissues and those affected by periodontal disease through the evidence present in the literature. An important focus will be placed on the immediate and future impact of these changes on the modulation of the dysbiotic oral microbiome and clinical management of periodontal disease.
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Isola G, Polizzi A, Santonocito S, Alibrandi A, Williams RC. Periodontitis activates the NLRP3 inflammasome in serum and saliva. J Periodontol 2022; 93:135-145. [PMID: 34008185 DOI: 10.1002/jper.21-0049] [Citation(s) in RCA: 95] [Impact Index Per Article: 31.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/09/2021] [Accepted: 05/10/2021] [Indexed: 02/05/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Nod-like receptor family pyrin domain-containing protein-3 (NLRP3) complex inflammasome has potentially been shown to play an important role in the development of periodontitis and diabetes. The objective of this study was to analyze the association between serum and salivary NLRP3 concentrations in patients with periodontitis and type-II diabetes mellitus (DM) and to evaluate whether this association was influenced by potential confounders. METHODS For the present study, a cohort of healthy controls (n = 32), and patients with periodontitis (n = 34), type-II DM (n = 33), and a combination of periodontitis + type-II DM (n = 34) were enrolled. Patients were characterized on the basis of their periodontal status and analyzed for demographic characteristics, serum mediators, and for serum and salivary concentrations of NLRP3. A uni- and multivariate model was established to analyze whether periodontitis, type-II DM, and CRP influenced serum and salivary NLRP3 concentrations. RESULTS In comparison to type-II DM patients and healthy controls, patients with periodontitis (serum, P = 0.003; saliva P = 0.012) and periodontitis + type-II DM (serum, P = 0.028; saliva, P = 0.003) had elevated serum and salivary NLRP3 concentrations. The multivariate regression model showed that periodontitis (P = 0.029) and HDL-cholesterol (P = 0.012) were significant predictors of serum NLRP3 concentrations whereas periodontitis (P = 0.036) and CRP (P = 0.012) were significant predictors of salivary NLRP3. CONCLUSION The results of the present study showed that periodontitis and periodontitis + type-II DM patients had higher serum and salivary NLRP3 concentrations in comparison to healthy controls and patients with type-II DM. Periodontitis was demonstrated to be a significant predictor of both serum and salivary NLRP3 concentrations.
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Haakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldaño Zuñiga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Ahmed Rashid T, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Bärnighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhurtyal A, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carneiro VLA, Catalá-López F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, et alHaakenstad A, Yearwood JA, Fullman N, Bintz C, Bienhoff K, Weaver MR, Nandakumar V, LeGrand KE, Knight M, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abeldaño Zuñiga RA, Adedeji IA, Adekanmbi V, Adetokunboh OO, Afzal MS, Afzal S, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmadi A, Ahmadi S, Ahmed A, Ahmed Rashid T, Aji B, Akande-Sholabi W, Alam K, Al Hamad H, Alhassan RK, Ali L, Alipour V, Aljunid SM, Ameyaw EK, Amin TT, Amu H, Amugsi DA, Ancuceanu R, Andrade PP, Anjum A, Arabloo J, Arab-Zozani M, Ariffin H, Arulappan J, Aryan Z, Ashraf T, Atnafu DD, Atreya A, Ausloos M, Avila-Burgos L, Ayano G, Ayanore MA, Azari S, Badiye AD, Baig AA, Bairwa M, Bakkannavar SM, Baliga S, Banik PC, Bärnighausen TW, Barra F, Barrow A, Basu S, Bayati M, Belete R, Bell AW, Bhagat DS, Bhagavathula AS, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhattacharyya K, Bhurtyal A, Bhutta ZA, Bibi S, Bijani A, Bikbov B, Biondi A, Bolarinwa OA, Bonny A, Brenner H, Buonsenso D, Burkart K, Busse R, Butt ZA, Butt NS, Caetano dos Santos FL, Cahuana-Hurtado L, Cámera LA, Cárdenas R, Carneiro VLA, Catalá-López F, Chandan JS, Charan J, Chavan PP, Chen S, Chen S, Choudhari SG, Chowdhury EK, Chowdhury MAK, Cirillo M, Corso B, Dadras O, Dahlawi SMA, Dai X, Dandona L, Dandona R, Dangel WJ, Dávila-Cervantes CA, Davletov K, Deuba K, Dhimal M, Dhimal ML, Djalalinia S, Do HP, Doshmangir L, Duncan BB, Effiong A, Ehsani-Chimeh E, Elgendy IY, Elhadi M, El Sayed I, El Tantawi M, Erku DA, Eskandarieh S, Fares J, Farzadfar F, Ferrero S, Ferro Desideri L, Fischer F, Foigt NA, Foroutan M, Fukumoto T, Gaal PA, Gaihre S, Gardner WM, Garg T, Getachew Obsa A, Ghafourifard M, Ghashghaee A, Ghith N, Gilani SA, Gill PS, Goharinezhad S, Golechha M, Guadamuz JS, Guo Y, Gupta RD, Gupta R, Gupta VK, Gupta VB, Hamiduzzaman M, Hanif A, Haro JM, Hasaballah AI, Hasan MM, Hasan MT, Hashi A, Hay SI, Hayat K, Heidari M, Heidari G, Henry NJ, Herteliu C, Holla R, Hossain S, Hossain SJ, Hossain MBH, Hosseinzadeh M, Hostiuc S, Hoveidamanesh S, Hsieh VCR, Hu G, Huang J, Huda MM, Ifeagwu SC, Ikuta KS, Ilesanmi OS, Irvani SSN, Islam RM, Islam SMS, Ismail NE, Iso H, Isola G, Itumalla R, Iwagami M, Jahani MA, Jahanmehr N, Jain R, Jakovljevic M, Janodia MD, Jayapal SK, Jayaram S, Jha RP, Jonas JB, Joo T, Joseph N, Jürisson M, Kabir A, Kalankesh LR, Kalhor R, Kamath AM, Kamenov K, Kandel H, Kantar RS, Kapoor N, Karanikolos M, Katikireddi SV, Kavetskyy T, Kawakami N, Kayode GA, Keikavoosi-Arani L, Keykhaei M, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan MN, Khan MAB, Khan M, Khezeli M, Kim MS, Kim YJ, Kisa S, Kisa A, Klymchuk V, Koly KN, Korzh O, Kosen S, Koul PA, Kuate Defo B, Kumar GA, Kusuma D, Kyu HH, Larsson AO, Lasrado S, Lee WC, Lee YH, Lee CB, Li S, Lucchetti G, Mahajan PB, Majeed A, Makki A, Malekzadeh R, Malik AA, Malta DC, Mansournia MA, Mantovani LG, Martinez-Valle A, Martins-Melo FR, Masoumi SZ, Mathur MR, Maude RJ, Maulik PK, McKee M, Mendoza W, Menezes RG, Mensah GA, Meretoja A, Meretoja TJ, Mestrovic T, Michalek IM, Mirrakhimov EM, Misganaw A, Misra S, Moazen B, Mohammadi M, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradi G, Moreira RS, Mosser JF, Mostafavi E, Mouodi S, Nagarajan AJ, Nagata C, Naghavi M, Nangia V, Narasimha Swamy S, Narayana AI, Nascimento BR, Nassereldine H, Nayak BP, Nazari J, Negoi I, Nepal S, Neupane Kandel S, Ngunjiri JW, Nguyen HLT, Nguyen CT, Ningrum DNA, Noubiap JJ, Oancea B, Oghenetega OB, Oh IH, Olagunju AT, Olakunde BO, Omar Bali A, Omer E, Onwujekwe OE, Otoiu A, Padubidri JR, Palladino R, Pana A, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Pasupula DK, Pathak PK, Patton GC, Pawar S, Pereira J, Pilania M, Piroozi B, Podder V, Pokhrel KN, Postma MJ, Prada SI, Quazi Syed Z, Rabiee N, Radhakrishnan RA, Rahman MM, Rahman M, Rahman M, Rahman MHU, Rahmani AM, Ranabhat CL, Rao CR, Rao SJ, Rasella D, Rawaf S, Rawaf DL, Rawal L, Renzaho AM, Reshmi B, Resnikoff S, Rezapour A, Riahi SM, Ripon RK, Sacco S, Sadeghi M, Saeed U, Sahebkar A, Sahiledengle B, Sahoo H, Sahu M, Salama JS, Salamati P, Samy AM, Sanabria J, Santric-Milicevic MM, Sathian B, Sawhney M, Schmidt MI, Seidu AA, Sepanlou SG, Seylani A, Shaikh MA, Sheikh A, Shetty A, Shigematsu M, Shiri R, Shivakumar KM, Shokri A, Singh JA, Sinha DN, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Sousa RARC, Stephens JH, Sun J, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tamiru AT, Thankappan KR, Topor-Madry R, Tovani-Palone MR, Tran MTN, Tran BX, Tripathi N, Tripathy JP, Troeger CE, Uezono DR, Ullah S, Ullah A, Unnikrishnan B, Vacante M, Valadan Tahbaz S, Valdez PR, Vasic M, Veroux M, Vervoort D, Violante FS, Vladimirov SK, Vlassov V, Vo B, Waheed Y, Wamai RG, Wang YP, Wang Y, Ward P, Wiangkham T, Yadav L, Yahyazadeh Jabbari SH, Yamagishi K, Yaya S, Yazdi-Feyzabadi V, Yi S, Yiğit V, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zaman SB, Zastrozhin MS, Zhang ZJ, Zhong C, Zuniga YMH, Lim SS, Murray CJL, Lozano R. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet Glob Health 2022; 10:e1715-e1743. [PMID: 36209761 PMCID: PMC9666426 DOI: 10.1016/s2214-109x(22)00429-6] [Show More Authors] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 05/13/2022] [Accepted: 09/23/2022] [Indexed: 11/05/2022] [Imported: 12/03/2024]
Abstract
BACKGROUND Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. METHODS We distinguished the overall HAQ Index (ages 0-74 years) from scores for select age groups: the young (ages 0-14 years), working (ages 15-64 years), and post-working (ages 65-74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. FINDINGS Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9-21·3), as well as among the young (22·5, 19·9-24·7), working (17·2, 15·2-19·1), and post-working (15·1, 13·2-17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6-33·0) on average in low-SDI countries to 83·4 (82·4-84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4-89·0), working (33·8-82·8), and post-working (30·4-79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. INTERPRETATION Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. FUNDING Bill & Melinda Gates Foundation.
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Micah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, McCracken D, Nomura S, Simpson KE, Stutzman HN, Tsakalos G, Wallace LE, Zhao Y, Zende RR, Abbafati C, Abdelmasseh M, Abedi A, Abegaz KH, Abhilash ES, Abolhassani H, Abrigo MRM, Adhikari TB, Afzal S, Ahinkorah BO, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ajami M, Aji B, Akalu Y, Akunna CJ, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Alemayehu Y, Alhassan RK, Alinia C, Aljunid SM, Almustanyir SA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amu H, Ancuceanu R, Andrei CL, Andrei T, Angell B, Anjomshoa M, Antonio CAT, Antony CM, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Arrigo A, Ashraf T, Atnafu DD, Ausloos M, Avila-Burgos L, Awan AT, Ayano G, Ayanore MA, Azari S, Azhar GS, Babalola TK, Bahrami MA, Baig AA, Banach M, Barati N, Bärnighausen TW, Barrow A, Basu S, Baune BT, Bayati M, Benzian H, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bibi S, Bijani A, Bodolica V, Bragazzi NL, Braithwaite D, Breitborde NJK, Breusov AV, Briko NI, Busse R, Cahuana-Hurtado L, Callander EJ, Cámera LA, Castañeda-Orjuela CA, Catalá-López F, Charan J, Chatterjee S, Chattu SK, et alMicah AE, Cogswell IE, Cunningham B, Ezoe S, Harle AC, Maddison ER, McCracken D, Nomura S, Simpson KE, Stutzman HN, Tsakalos G, Wallace LE, Zhao Y, Zende RR, Abbafati C, Abdelmasseh M, Abedi A, Abegaz KH, Abhilash ES, Abolhassani H, Abrigo MRM, Adhikari TB, Afzal S, Ahinkorah BO, Ahmadi S, Ahmed H, Ahmed MB, Ahmed Rashid T, Ajami M, Aji B, Akalu Y, Akunna CJ, Al Hamad H, Alam K, Alanezi FM, Alanzi TM, Alemayehu Y, Alhassan RK, Alinia C, Aljunid SM, Almustanyir SA, Alvis-Guzman N, Alvis-Zakzuk NJ, Amini S, Amini-Rarani M, Amu H, Ancuceanu R, Andrei CL, Andrei T, Angell B, Anjomshoa M, Antonio CAT, Antony CM, Aqeel M, Arabloo J, Arab-Zozani M, Aripov T, Arrigo A, Ashraf T, Atnafu DD, Ausloos M, Avila-Burgos L, Awan AT, Ayano G, Ayanore MA, Azari S, Azhar GS, Babalola TK, Bahrami MA, Baig AA, Banach M, Barati N, Bärnighausen TW, Barrow A, Basu S, Baune BT, Bayati M, Benzian H, Berman AE, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhaskar S, Bibi S, Bijani A, Bodolica V, Bragazzi NL, Braithwaite D, Breitborde NJK, Breusov AV, Briko NI, Busse R, Cahuana-Hurtado L, Callander EJ, Cámera LA, Castañeda-Orjuela CA, Catalá-López F, Charan J, Chatterjee S, Chattu SK, Chattu VK, Chen S, Cicero AFG, Dadras O, Dahlawi SMA, Dai X, Dalal K, Dandona L, Dandona R, Davitoiu DV, De Neve JW, de Sá-Junior AR, Denova-Gutiérrez E, Dhamnetiya D, Dharmaratne SD, Doshmangir L, Dube J, Ehsani-Chimeh E, El Sayed Zaki M, El Tantawi M, Eskandarieh S, Farzadfar F, Ferede TY, Fischer F, Foigt NA, Freitas A, Friedman SD, Fukumoto T, Fullman N, Gaal PA, Gad MM, Garcia-Gordillo MA, Garg T, Ghafourifard M, Ghashghaee A, Gholamian A, Gholamrezanezhad A, Ghozali G, Gilani SA, Glăvan IR, Glushkova EV, Goharinezhad S, Golechha M, Goli S, Guha A, Gupta VB, Gupta VK, Haakenstad A, Haider MR, Hailu A, Hamidi S, Hanif A, Harapan H, Hartono RK, Hasaballah AI, Hassan S, Hassanein MH, Hayat K, Hegazy MI, Heidari G, Hendrie D, Heredia-Pi I, Herteliu C, Hezam K, Holla R, Hossain SJ, Hosseinzadeh M, Hostiuc S, Huda TM, Hwang BF, Iavicoli I, Idrisov B, Ilesanmi OS, Irvani SSN, Islam SMS, Ismail NE, Isola G, Jahani MA, Jahanmehr N, Jakovljevic M, Janodia MD, Javaheri T, Jayapal SK, Jayawardena R, Jazayeri SB, Jha RP, Jonas JB, Joo T, Joukar F, Jürisson M, Kaambwa B, Kalhor R, Kanchan T, Kandel H, Karami Matin B, Karimi SE, Kassahun G, Kayode GA, Kazemi Karyani A, Keikavoosi-Arani L, Khader YS, Khajuria H, Khalilov R, Khammarnia M, Khan J, Khubchandani J, Kianipour N, Kim GR, Kim YJ, Kisa A, Kisa S, Kohler S, Kosen S, Koteeswaran R, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Kumar GA, Kusuma D, Lamnisos D, Lansingh VC, Larsson AO, Lasrado S, Le LKD, Lee SWH, Lee YY, Lim SS, Lobo SW, Lozano R, Magdy Abd El Razek H, Magdy Abd El Razek M, Mahdavi MM, Majeed A, Makki A, Maleki A, Malekzadeh R, Manda AL, Mansour-Ghanaei F, Mansournia MA, Marrugo Arnedo CA, Martinez-Valle A, Masoumi SZ, Maude RJ, McKee M, Medina-Solís CE, Menezes RG, Meretoja A, Meretoja TJ, Mesregah MK, Mestrovic T, Milevska Kostova N, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Mohajer B, Mohamed TA, Mohammadi M, Mohammadian-Hafshejani A, Mohammed S, Moitra M, Mokdad AH, Molokhia M, Moni MA, Moradi Y, Morze J, Mousavi SM, Mpundu-Kaambwa C, Muriithi MK, Muthupandian S, Nagarajan AJ, Naimzada MD, Nangia V, Naqvi AA, Narayana AI, Nascimento BR, Naveed M, Nayak BP, Nazari J, Ndejjo R, Negoi I, Neupane Kandel S, Nguyen TH, Nonvignon J, Noubiap JJ, Nwatah VE, Oancea B, Ojelabi FAO, Olagunju AT, Olakunde BO, Olgiati S, Olusanya JO, Onwujekwe OE, Otoiu A, Otstavnov N, Otstavnov SS, Owolabi MO, Padubidri JR, Palladino R, Panda-Jonas S, Park EC, Pashazadeh Kan F, Pawar S, Pazoki Toroudi H, Pereira DM, Perianayagam A, Pesudovs K, Piccinelli C, Postma MJ, Prada SI, Rabiee M, Rabiee N, Rahim F, Rahimi-Movaghar V, Rahman MHU, Rahman M, Rahmani AM, Ram U, Ranabhat CL, Ranasinghe P, Rao CR, Rathi P, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Reiner Jr RC, Renzaho AMN, Reshmi B, Riaz MA, Ripon RK, Saad AM, Sahraian MA, Sahu M, Salama JS, Salehi S, Samy AM, Sanabria J, Sanmarchi F, Santos JV, Santric-Milicevic MM, Sathian B, Savic M, Saxena D, Sayyah M, Schwendicke F, Senthilkumaran S, Sepanlou SG, Seylani A, Shahabi S, Shaikh MA, Sheikh A, Shetty A, Shetty PH, Shibuya K, Shrime MG, Shuja KH, Singh JA, Skryabin VY, Skryabina AA, Soltani S, Soofi M, Spurlock EE, Stefan SC, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Taddele BW, Tefera YG, Thavamani A, Tobe-Gai R, Topor-Madry R, Tovani-Palone MR, Tran BX, Tudor Car L, Ullah A, Ullah S, Umar N, Undurraga EA, Valdez PR, Vasankari TJ, Villafañe JH, Violante FS, Vlassov V, Vo B, Vollmer S, Vos T, Vu GT, Vu LG, Wamai RG, Werdecker A, Woldekidan MA, Wubishet BL, Xu G, Yaya S, Yazdi-Feyzabadi V, Yiğit V, Yip P, Yirdaw BW, Yonemoto N, Younis MZ, Yu C, Yunusa I, Zahirian Moghadam T, Zandian H, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Ziapour A, Zuniga YMH, Hay SI, Murray CJL, Dieleman JL. Tracking development assistance for health and for COVID-19: a review of development assistance, government, out-of-pocket, and other private spending on health for 204 countries and territories, 1990-2050. Lancet 2021; 398:1317-1343. [PMID: 34562388 PMCID: PMC8457757 DOI: 10.1016/s0140-6736(21)01258-7] [Show More Authors] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 04/15/2021] [Accepted: 05/20/2021] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND The rapid spread of COVID-19 renewed the focus on how health systems across the globe are financed, especially during public health emergencies. Development assistance is an important source of health financing in many low-income countries, yet little is known about how much of this funding was disbursed for COVID-19. We aimed to put development assistance for health for COVID-19 in the context of broader trends in global health financing, and to estimate total health spending from 1995 to 2050 and development assistance for COVID-19 in 2020. METHODS We estimated domestic health spending and development assistance for health to generate total health-sector spending estimates for 204 countries and territories. We leveraged data from the WHO Global Health Expenditure Database to produce estimates of domestic health spending. To generate estimates for development assistance for health, we relied on project-level disbursement data from the major international development agencies' online databases and annual financial statements and reports for information on income sources. To adjust our estimates for 2020 to include disbursements related to COVID-19, we extracted project data on commitments and disbursements from a broader set of databases (because not all of the data sources used to estimate the historical series extend to 2020), including the UN Office of Humanitarian Assistance Financial Tracking Service and the International Aid Transparency Initiative. We reported all the historic and future spending estimates in inflation-adjusted 2020 US$, 2020 US$ per capita, purchasing-power parity-adjusted US$ per capita, and as a proportion of gross domestic product. We used various models to generate future health spending to 2050. FINDINGS In 2019, health spending globally reached $8·8 trillion (95% uncertainty interval [UI] 8·7-8·8) or $1132 (1119-1143) per person. Spending on health varied within and across income groups and geographical regions. Of this total, $40·4 billion (0·5%, 95% UI 0·5-0·5) was development assistance for health provided to low-income and middle-income countries, which made up 24·6% (UI 24·0-25·1) of total spending in low-income countries. We estimate that $54·8 billion in development assistance for health was disbursed in 2020. Of this, $13·7 billion was targeted toward the COVID-19 health response. $12·3 billion was newly committed and $1·4 billion was repurposed from existing health projects. $3·1 billion (22·4%) of the funds focused on country-level coordination and $2·4 billion (17·9%) was for supply chain and logistics. Only $714·4 million (7·7%) of COVID-19 development assistance for health went to Latin America, despite this region reporting 34·3% of total recorded COVID-19 deaths in low-income or middle-income countries in 2020. Spending on health is expected to rise to $1519 (1448-1591) per person in 2050, although spending across countries is expected to remain varied. INTERPRETATION Global health spending is expected to continue to grow, but remain unequally distributed between countries. We estimate that development organisations substantially increased the amount of development assistance for health provided in 2020. Continued efforts are needed to raise sufficient resources to mitigate the pandemic for the most vulnerable, and to help curtail the pandemic for all. FUNDING Bill & Melinda Gates Foundation.
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Isola G, Polizzi A, Alibrandi A, Williams RC, Leonardi R. Independent impact of periodontitis and cardiovascular disease on elevated soluble urokinase-type plasminogen activator receptor (suPAR) levels. J Periodontol 2021; 92:896-906. [PMID: 33091149 DOI: 10.1002/jper.20-0242] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 09/25/2020] [Accepted: 09/29/2020] [Indexed: 02/06/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Previous studies have demonstrated that a soluble urokinase-type plasminogen activator receptor (suPAR) plays an essential function in leukocytes and endothelial homeostasis and, therefore, in the development of coronary heart disease (CHD) and periodontitis. The aim of this study was to analyze the impact of gingival health, periodontitis, and CHD on suPAR levels in plasma and saliva and to evaluate suPAR as a biomarker of periodontitis and CHD. METHODS Healthy controls (n = 33), patients with periodontitis (n = 31), CHD (n = 29), and a combination of periodontitis + CHD (n = 29) were enrolled in the present study. All patients were clinically and periodontally evaluated and regularly assessed for socioeconomic status, serum lipids, high-sensitivity C-reactive protein (hs-CRP), and for plasma and salivary suPAR levels. RESULTS Patients with periodontitis (P <.001) and with periodontitis + CHD (P <.001) presented higher median plasma and salivary suPAR levels compared with CHD and healthy controls. Moreover, univariate regression analysis demonstrated that hs-CRP (P <.001) and periodontitis (P <.001) had a significant negative direct effect on both plasma and salivary suPAR levels. The multivariate regression analysis showed that periodontitis was the only significant predictor of plasma suPAR (P = .035) while hs-CRP was the only significant predictor of salivary suPAR (P <.001). CONCLUSIONS The results of the present study demonstrated that patients with periodontitis and periodontitis + CHD presented higher suPAR levels in both plasma and saliva in comparison with healthy controls and CHD. Moreover, periodontitis and hs-CRP were the only significant predictors of the augmented suPAR levels in plasma and saliva, respectively.
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Cousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, Abolhassani H, Abu-Gharbieh E, Accrombessi MMK, Adnani QES, Afzal MS, Agarwal G, Agrawaal KK, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi K, Ahmadi S, Ahmadi A, Ahmed A, Ahmed Salih Y, Akande-Sholabi W, Akram T, Al Hamad H, Al-Aly Z, Alcalde-Rabanal JE, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Ancuceanu R, Andrei T, Andrei CL, Anjana RM, Ansar A, Antonazzo IC, Antony B, Anyasodor AE, Arabloo J, Arizmendi D, Armocida B, Artamonov AA, Arulappan J, Aryan Z, Asgari S, Ashraf T, Astell-Burt T, Atorkey P, Atout MMW, Ayanore MA, Badiye AD, Baig AA, Bairwa M, Baker JL, Baltatu OC, Banik PC, Barnett A, Barone MTU, Barone-Adesi F, Barrow A, Bedi N, Belete R, Belgaumi UI, Bell AW, Bennett DA, Bensenor IM, Beran D, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bijani A, Bikbov B, Birara S, Bodolica V, Bonny A, Brenner H, Briko NI, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Cao Y, Cao C, Cerin E, Chakraborty PA, Chandan JS, Chattu VK, Chen S, Choi JYJ, Choudhari SG, Chowdhury EK, Chu DT, Corso B, et alCousin E, Duncan BB, Stein C, Ong KL, Vos T, Abbafati C, Abbasi-Kangevari M, Abdelmasseh M, Abdoli A, Abd-Rabu R, Abolhassani H, Abu-Gharbieh E, Accrombessi MMK, Adnani QES, Afzal MS, Agarwal G, Agrawaal KK, Agudelo-Botero M, Ahinkorah BO, Ahmad S, Ahmad T, Ahmadi K, Ahmadi S, Ahmadi A, Ahmed A, Ahmed Salih Y, Akande-Sholabi W, Akram T, Al Hamad H, Al-Aly Z, Alcalde-Rabanal JE, Alipour V, Aljunid SM, Al-Raddadi RM, Alvis-Guzman N, Amini S, Ancuceanu R, Andrei T, Andrei CL, Anjana RM, Ansar A, Antonazzo IC, Antony B, Anyasodor AE, Arabloo J, Arizmendi D, Armocida B, Artamonov AA, Arulappan J, Aryan Z, Asgari S, Ashraf T, Astell-Burt T, Atorkey P, Atout MMW, Ayanore MA, Badiye AD, Baig AA, Bairwa M, Baker JL, Baltatu OC, Banik PC, Barnett A, Barone MTU, Barone-Adesi F, Barrow A, Bedi N, Belete R, Belgaumi UI, Bell AW, Bennett DA, Bensenor IM, Beran D, Bhagavathula AS, Bhaskar S, Bhattacharyya K, Bhojaraja VS, Bijani A, Bikbov B, Birara S, Bodolica V, Bonny A, Brenner H, Briko NI, Butt ZA, Caetano dos Santos FL, Cámera LA, Campos-Nonato IR, Cao Y, Cao C, Cerin E, Chakraborty PA, Chandan JS, Chattu VK, Chen S, Choi JYJ, Choudhari SG, Chowdhury EK, Chu DT, Corso B, Dadras O, Dai X, Damasceno AAM, Dandona L, Dandona R, Dávila-Cervantes CA, De Neve JW, Denova-Gutiérrez E, Dhamnetiya D, Diaz D, Ebtehaj S, Edinur HA, Eftekharzadeh S, El Sayed I, Elgendy IY, Elhadi M, Elmonem MA, Faisaluddin M, Farooque U, Feng X, Fernandes E, Fischer F, Flood D, Freitas M, Gaal PA, Gad MM, Gaewkhiew P, Getacher L, Ghafourifard M, Ghanei Gheshlagh R, Ghashghaee A, Ghith N, Ghozali G, Gill PS, Ginawi IA, Glushkova EV, Golechha M, Gopalani SV, Guimarães RA, Gupta RD, Gupta R, Gupta VK, Gupta VB, Gupta S, Habtewold TD, Hafezi-Nejad N, Halwani R, Hanif A, Hankey GJ, Haque S, Hasaballah AI, Hasan SS, Hashi A, Hassanipour S, Hay SI, Hayat K, Heidari M, Hossain MBH, Hossain S, Hosseini M, Hoveidamanesh S, Huang J, Humayun A, Hussain R, Hwang BF, Ibitoye SE, Ikuta KS, Inbaraj LR, Iqbal U, Islam MS, Islam SMS, Islam RM, Ismail NE, Isola G, Itumalla R, Iwagami M, Iyamu IO, Jahani MA, Jakovljevic M, Jayawardena R, Jha RP, John O, Jonas JB, Joo T, Kabir A, Kalhor R, Kamath A, Kanchan T, Kandel H, Kapoor N, Kayode GA, Kebede SA, Keshavarz P, Keykhaei M, Khader YS, Khajuria H, Khan MAB, Khan MN, Khan M, Khater AM, Khoja TAM, Khubchandani J, Kim MS, Kim YJ, Kimokoti RW, Kisa S, Kisa A, Kivimäki M, Korshunov VA, Korzh O, Koyanagi A, Krishan K, Kuate Defo B, Kumar GA, Kumar N, Kusuma D, La Vecchia C, Lacey B, Larsson AO, Lasrado S, Lee WC, Lee CB, Lee PH, Lee SWH, Li MC, Lim SS, Lim LL, Lucchetti G, Majeed A, Malik AA, Mansouri B, Mantovani LG, Martini S, Mathur P, McAlinden C, Mehedi N, Mekonnen T, Menezes RG, Mersha AG, Miao Jonasson J, Miazgowski T, Michalek IM, Mirica A, Mirrakhimov EM, Mirza AZ, Mithra P, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mokdad AH, Molokhia M, Monasta L, Moni MA, Moradpour F, Moradzadeh R, Mostafavi E, Mueller UO, Murray CJL, Mustafa A, Nagel G, Nangia V, Naqvi AA, Nayak BP, Nazari J, Ndejjo R, Negoi RI, Neupane Kandel S, Nguyen CT, Nguyen HLT, Noubiap JJ, Nowak C, Oancea B, Odukoya OO, Oguntade AS, Ojo TT, Olagunju AT, Onwujekwe OE, Ortiz A, Owolabi MO, Palladino R, Panda-Jonas S, Pandi-Perumal SR, Pardhan S, Parekh T, Parvizi M, Pepito VCF, Perianayagam A, Petcu IR, Pilania M, Podder V, Polibin RV, Postma MJ, Prashant A, Rabiee N, Rabiee M, Rahimi-Movaghar V, Rahman MA, Rahman MM, Rahman M, Rahmawaty S, Rajai N, Ram P, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao S, Rawaf S, Rawaf DL, Rawal L, Renzaho AMN, Rezaei N, Rezapour A, Riahi SM, Ribeiro D, Rodriguez JAB, Roever L, Rohloff P, Rwegerera GM, Ryan PM, Saber-Ayad MM, Sabour S, Saddik B, Saeedi Moghaddam S, Sahebkar A, Sahoo H, Saif-Ur-Rahman KM, Salimzadeh H, Samaei M, Sanabria J, Santric-Milicevic MM, Sathian B, Sathish T, Schlaich MP, Seidu AA, Šekerija M, Senthil Kumar N, Seylani A, Shaikh MA, Shamshad H, Shawon MSR, Sheikhbahaei S, Shetty JK, Shiri R, Shivakumar KM, Shuval K, Singh JA, Singh A, Skryabin VY, Skryabina AA, Sofi-Mahmudi A, Soheili A, Sun J, Szerencsés V, Szócska M, Tabarés-Seisdedos R, Tadbiri H, Tadesse EG, Tariqujjaman M, Thankappan KR, Thapar R, Thomas N, Timalsina B, Tobe-Gai R, Tonelli M, Tovani-Palone MR, Tran BX, Tripathy JP, Tudor Car L, Tusa BS, Uddin R, Upadhyay E, Valadan Tahbaz S, Valdez PR, Vasankari TJ, Verma M, Villalobos-Daniel VE, Vladimirov SK, Vo B, Vu GT, Vukovic R, Waheed Y, Wamai RG, Werdecker A, Wickramasinghe ND, Winkler AS, Wubishet BL, Xu X, Xu S, Yahyazadeh Jabbari SH, Yatsuya H, Yaya S, Yazie TSY, Yi S, Yonemoto N, Yunusa I, Zadey S, Zaman SB, Zamanian M, Zamora N, Zastrozhin MS, Zastrozhina A, Zhang ZJ, Zhong C, Zmaili M, Zumla A, Naghavi M, Schmidt MI. Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes Endocrinol 2022; 10:177-192. [PMID: 35143780 PMCID: PMC8860753 DOI: 10.1016/s2213-8587(21)00349-1] [Show More Authors] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/27/2021] [Accepted: 12/10/2021] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND Diabetes, particularly type 1 diabetes, at younger ages can be a largely preventable cause of death with the correct health care and services. We aimed to evaluate diabetes mortality and trends at ages younger than 25 years globally using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS We used estimates of GBD 2019 to calculate international diabetes mortality at ages younger than 25 years in 1990 and 2019. Data sources for causes of death were obtained from vital registration systems, verbal autopsies, and other surveillance systems for 1990-2019. We estimated death rates for each location using the GBD Cause of Death Ensemble model. We analysed the association of age-standardised death rates per 100 000 population with the Socio-demographic Index (SDI) and a measure of universal health coverage (UHC) and described the variability within SDI quintiles. We present estimates with their 95% uncertainty intervals. FINDINGS In 2019, 16 300 (95% uncertainty interval 14 200 to 18 900) global deaths due to diabetes (type 1 and 2 combined) occurred in people younger than 25 years and 73·7% (68·3 to 77·4) were classified as due to type 1 diabetes. The age-standardised death rate was 0·50 (0·44 to 0·58) per 100 000 population, and 15 900 (97·5%) of these deaths occurred in low to high-middle SDI countries. The rate was 0·13 (0·12 to 0·14) per 100 000 population in the high SDI quintile, 0·60 (0·51 to 0·70) per 100 000 population in the low-middle SDI quintile, and 0·71 (0·60 to 0·86) per 100 000 population in the low SDI quintile. Within SDI quintiles, we observed large variability in rates across countries, in part explained by the extent of UHC (r2=0·62). From 1990 to 2019, age-standardised death rates decreased globally by 17·0% (-28·4 to -2·9) for all diabetes, and by 21·0% (-33·0 to -5·9) when considering only type 1 diabetes. However, the low SDI quintile had the lowest decline for both all diabetes (-13·6% [-28·4 to 3·4]) and for type 1 diabetes (-13·6% [-29·3 to 8·9]). INTERPRETATION Decreasing diabetes mortality at ages younger than 25 years remains an important challenge, especially in low and low-middle SDI countries. Inadequate diagnosis and treatment of diabetes is likely to be major contributor to these early deaths, highlighting the urgent need to provide better access to insulin and basic diabetes education and care. This mortality metric, derived from readily available and frequently updated GBD data, can help to monitor preventable diabetes-related deaths over time globally, aligned with the UN's Sustainable Development Targets, and serve as an indicator of the adequacy of basic diabetes care for type 1 and type 2 diabetes across nations. FUNDING Bill & Melinda Gates Foundation.
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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, et alCunha 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] [Show More Authors] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/04/2023] [Indexed: 09/08/2023] [Imported: 01/11/2025]
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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Isola G, Polizzi A, Alibrandi A, Williams RC, Lo Giudice A. Analysis of galectin-3 levels as a source of coronary heart disease risk during periodontitis. J Periodontal Res 2021; 56:597-605. [PMID: 33641161 DOI: 10.1111/jre.12860] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 01/19/2021] [Accepted: 01/27/2021] [Indexed: 02/05/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND AND OBJECTIVE Different evidence has shown that Galectins have a key role as modulators of cell surface functions and signaling in a wide range of inflammatory diseases during their preclinical stages. The aim of this study was to analyze the association and impact of periodontitis and coronary heart disease (CHD) on salivary and serum Galectin-3 in patients with periodontitis and CHD. MATERIALS AND METHODS For the present study, healthy controls (n = 38), periodontitis (n = 40), CHD (n = 39), and a combination of periodontitis +CHD (n = 38) patients were enrolled and analyzed. In each patient, demographic characteristics and a full-mouth clinical periodontal examination were achieved. Moreover, serum and salivary samples were collected to assess Galectin-3 and Endothelin-1 (ET-1) levels. The Jonckheere-Terpstra p-trend and Spearman's correlation tests as well as uni- and linear regression analyses were used to analyze the study data. RESULTS Patients with periodontitis (serum, p = .003; saliva, p < .001) and periodontitis + CHD groups (serum p = .004; saliva, p < .001) had higher median serum and salivary concentrations of Galectin-3 in comparison with CHD and healthy controls. Serum (p = .006) and salivary (p = .009) Galectin-3 levels were significantly correlated with serum ET-1. The multivariate regression analysis highlighted that periodontitis (p = .047) was the significant predictor of serum Galectin-3 levels while ET-1 (p = .028) was the significant predictor of salivary Galectin-3 levels. CONCLUSION The results showed that patients with periodontitis and periodontitis + CHD presented significant higher serum and salivary Galectin-3 levels in comparison with CHD patients and healthy subjects. Periodontitis and ET-1 were the significant predictors of serum and salivary Galectin-3 levels, respectively.
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Isola G, Alibrandi A, Rapisarda E, Matarese G, Williams RC, Leonardi R. Association of vitamin D in patients with periodontitis: A cross-sectional study. J Periodontal Res 2020; 55:602-612. [PMID: 32173876 DOI: 10.1111/jre.12746] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 01/13/2020] [Accepted: 02/21/2020] [Indexed: 02/05/2023] [Imported: 01/11/2025]
Abstract
BACKGROUND AND OBJECTIVE Vitamin D has been considered to possess anti-inflammatory and antimicrobial activity, which may be a link for the known interaction of periodontitis (CP) and coronary heart disease (CHD). This study investigated the association between serum vitamin D levels and periodontitis in patients with CP and with CHD. Furthermore, the objective was to determine whether periodontitis and CHD had an impact on serum vitamin D levels. MATERIAL AND METHODS Using a cross-sectional design, a total of 46 patients with CP, 45 patients with CHD, 45 patients with both CP and CHD, and 43 healthy patients were enrolled in the present study. RESULTS Patients in the CP (17.4 ± 5.2 ng/mL) and in the CP + CHD (16.5 ± 5.6 ng/mL) group presented a significantly lower mean serum level of 25(OH)vitamin D compared to patients in the CHD (24.6 ± 3.7 ng/mL) and healthy control groups (29.9 ± 5.4 ng/mL) (P < .001). 25(OH)vitamin D levels were positively correlated with the number of teeth and negatively with C-reactive protein (CRP) and all periodontal parameters (P < .001). In all patients, there was a proportional increase of 25(OH)vitamin D levels with a progressive increase in number of teeth (P-trend <.001) while there were a proportional decrease in 25(OH)vitamin D levels with a progressive increase in clinical attachment level (CAL, P-trend = .001), probing depth (PD, P-trend = .006), and bleeding sites (BOP, P-trend <.001) levels. CONCLUSION Patients with CP and CP + CHD presented significantly lower serum levels of vitamin D compared to CHD and healthy controls. Moreover, the presence of CP negatively influenced serum vitamin D levels.
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Matarese G, Ramaglia L, Cicciù M, Cordasco G, Isola G. The Effects of Diode Laser Therapy as an Adjunct to Scaling and Root Planing in the Treatment of Aggressive Periodontitis: A 1-Year Randomized Controlled Clinical Trial. Photomed Laser Surg 2017; 35:702-709. [PMID: 28945145 DOI: 10.1089/pho.2017.4288] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] [Imported: 01/11/2025] Open
Abstract
OBJECTIVE The aim of this study was to investigate and compare the clinical, microbial, and inflammatory effects of a diode laser as an adjunct to scaling and root planing (SRP) versus SRP alone for the treatment of generalized aggressive periodontitis (GAgP). METHODS Using a split-mouth design, 31 patients with GAgP were enrolled in the study. The maxillary right and left quadrants were randomly assigned to SRP+diode laser or SRP alone. Patients were examined on a regular basis for clinical, microbiological, and inflammatory mediator changes over a 1-year period. Clinical attachment level (CAL) was the primary outcome variable chosen. In addition, subgingival biofilm samples and gingival crevicular fluid (GCF) inflammatory mediators were analyzed at each follow-up session. RESULTS Compared to baseline, both treatments demonstrated an improvement in periodontal parameters at 1 year. However, SRP+diode laser produced a significant improvement in probing depth (PD; 2.56 ± 0.44 vs. 3.36 ± 0.51 mm, p < 0.05) and CAL (3.47 ± 0.25 vs. 4.11 ± 0.26 mm, p < 0.05) values compared to SRP alone. Similarly, in the SRP+diode laser group, the bacteria of orange complex group were significantly reduced at 30 and 60 days compared to SRP alone. Moreover, SRP+diode laser determined a reduction in mean GCF level of interleukin (IL)-1β and IL-1β/IL-10 ratio at 15 and 30 days compared to SRP alone (p < 0.05). CONCLUSIONS At 1 year, SRP+diode laser yielded a significant reduction in some clinical parameters, while microbial and inflammatory mediator changes were not significantly reduced compared to SRP alone.
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Isola G, Lo Giudice A, Polizzi A, Alibrandi A, Murabito P, Indelicato F. Identification of the different salivary Interleukin-6 profiles in patients with periodontitis: A cross-sectional study. Arch Oral Biol 2021; 122:104997. [PMID: 33291049 DOI: 10.1016/j.archoralbio.2020.104997] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/23/2020] [Accepted: 11/27/2020] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
OBJECTIVE The aim of this study was to analyze and identify the association among salivary interleukin-6 (IL-6) levels and periodontitis (PT) and to determine the significant trend of this association in PT patients. STUDY DESIGN For the present study, 49 patients with PT and 47 healthy subjects (HS) were enrolled and assessed for clinical parameters, blood samples and salivary IL-6 analyses. Clinical differences among groups were recorded and evaluated. The Spearman Correlation and the Jonckheere-Terpstra Test were applied in order to assess the interdependence between salivary IL-6 and PT. RESULTS Patients in the PT group had significantly higher median salivary IL-6 levels [195.4 (184.6-205.9 pg/mL)] compared to the HS group [101.9 (89.5-115.4 pg/mL) (p < 0.001). Salivary IL-6 levels were negatively correlated with C-reactive protein, with the number of teeth and with clinical attachment loss (CAL), probing pocket depth (PPD), and bleeding sites (FMBS) (p < 0.001). Furthermore, in patients with PT, salivary IL-6 levels were inversely associated (P-trend) with the number of teeth (p < 0.001), and directly associated with the proportional extent of PT (CAL, p = 0.006; PPD, p = 0.009; FMBS, p < 0.001). CONCLUSIONS The results of this study showed that PT patients presented significant higher salivary IL-6 levels compared to HS. Moreover, in the analyzed sample a significant p-trend among PT, tooth loss and increased salivary IL-6 levels was found.
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Isola G, Polizzi A, Iorio-Siciliano V, Alibrandi A, Ramaglia L, Leonardi R. Effectiveness of a nutraceutical agent in the non-surgical periodontal therapy: a randomized, controlled clinical trial. Clin Oral Investig 2021; 25:1035-1045. [PMID: 32556659 DOI: 10.1007/s00784-020-03397-z] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 06/05/2020] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
OBJECTIVE Nutraceutical agents have been demonstrated as adjuncts for the treatment of several inflammatory diseases. The present study analyzed and compared new nutraceutical agent as an adjunct to Scaling and root planing (SRP) versus SRP alone for the treatment of periodontitis. MATERIALS AND METHODS Sixty-six patients with moderate periodontitis were enrolled. Through a randomized design, the patients were randomly assigned to SRP + nutraceutical agent (test group) or SRP alone (control group). Patients were regularly examined the clinical, inflammatory mediators and visual analogue scale (VAS) changes over a 6-month period. Clinical attachment level (CAL) was the primary outcome variable chosen. Gingival crevicular fluid (GCF) inflammatory mediator change and the impact of treatment on VAS were evaluated through a linear regression model. RESULTS Both treatments demonstrated an improvement in periodontal parameters compared with baseline. After 6 months of treatment, compared with the control group, the test group determined a significant probing depth (PD) (p = 0.003) and bleeding on probing (BOP) reduction (p < 0.001), while CAL gain was significantly obtained at 30 and 60 days after treatment (p < 0.05). In the test group, the level of inflammatory mediators was significantly reduced compared with the control group (p < 0.05). The linear regression analysis demonstrated that the nutraceutical agent exerted, in the test group, a significant influence on VAS at 6, 12, 24, and 48 h after treatment (p < 0.05). CONCLUSIONS Nutraceutical agent resulted in a more significant reduction in clinical, inflammatory mediators and short-term pain compared with SRP alone. CLINICAL RELEVANCE Nutraceutical agent, when combined with SRP, was demonstrated to be effective in reducing periodontal parameters and controlling the levels of inflammatory mediators and pain in patients with periodontitis.
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Randomized Controlled Trial |
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60 |
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Isola G, Matarese M, Ramaglia L, Iorio-Siciliano V, Cordasco G, Matarese G. Efficacy of a drug composed of herbal extracts on postoperative discomfort after surgical removal of impacted mandibular third molar: a randomized, triple-blind, controlled clinical trial. Clin Oral Investig 2019; 23:2443-2453. [PMID: 30311061 DOI: 10.1007/s00784-018-2690-9] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Accepted: 10/02/2018] [Indexed: 02/07/2023] [Imported: 01/11/2025]
Abstract
OBJECTIVES This study investigated and compared the effectiveness of a phytotherapeutic drug composed of herbal extracts on postsurgical discomfort after mandibular third molar surgery. MATERIALS AND METHODS Eighty-two patients requiring the surgical removal of a mandibular third molar were randomly assigned to receive placebo (group 1), ibuprofen (group 2), and a phytotherapeutic drug (composed of baicalin, 190 mg; bromelain, 50 mg; escin, 30 mg) (group 3). Drugs were administered after tooth extraction twice a day for 5 days. The primary outcome, pain, was evaluated using a visual analogue scale at 2 h, 6 h, 12 h, 24 h, 48 h, and 7 and 10 days after surgery. The secondary outcomes were the changes in maximum mouth opening and facial contours (mm) between baseline and at 24 h, 72 h, and 7 and 10 days after surgery. RESULTS Compared to the baseline, all treatments demonstrated an improvement in the primary and secondary outcomes. Moreover, compared to groups 1 and 2, patients in group 3 yielded a significant reduction of the postoperative pain score at 12 h (p < 0.001), 24 h (p = 0.010), and 48 h (p = 0.048) after surgery. The mean reduction of the swelling and trismus was similar between groups. CONCLUSIONS The results of this study suggest that a postoperative administration of a phytotherapeutic drug was found to be effective in postoperative pain management after the surgical removal of impacted mandibular third molars. CLINICAL RELEVANCE The phytotherapeutic drug composed of herbal extract determined a decrease in the severity of postoperative pain compared to ibuprofen and placebo.
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Randomized Controlled Trial |
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Ferlazzo N, Currò M, Zinellu A, Caccamo D, Isola G, Ventura V, Carru C, Matarese G, Ientile R. Influence of MTHFR Genetic Background on p16 and MGMT Methylation in Oral Squamous Cell Cancer. Int J Mol Sci 2017; 18:724. [PMID: 28353639 PMCID: PMC5412310 DOI: 10.3390/ijms18040724] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 03/25/2017] [Accepted: 03/27/2017] [Indexed: 02/07/2023] [Imported: 01/11/2025] Open
Abstract
Genetic polymorphisms of the methylenetetrahydrofolate reductase (MTHFR) enzyme may influence DNA methylation. Alterations in DNA methylation patterns of genes involved in the regulation of the cell cycle, DNA repair, cell adherence and metastasis process are known to contribute to cancer development. In this study, the influence of the MTHFR C677T and A1298C gene polymorphisms on global DNA methylation and site-specific methylation on p16 and O⁶-methylguanine-DNA methyltransferase (MGMT) gene promoters was investigated in patients with oral squamous cell cancer (OSCC). To this aim, methylation studies were carried out by using genomic DNA isolated from saliva samples of 58 OSCC patients and 90 healthy controls. The frequency of the CT/AC and TT/AA genotypes was significantly higher in patients than in controls. Whereas no difference in global DNA methylation levels was observed between patients and controls, a higher frequency of methylation at both p16 and MGMT gene promoters was detected in patients compared with controls. A significant association between MTHFR gene polymorphisms and p16 and MGMT gene promoter methylation was found. The frequency of p16 and MGMT methylation was around 60% in patients with either the CT/AC or TT/AA genotype. Our results suggest that hypermethylation of cancer-related genes may be affected by MTHFR polymorphisms.
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