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Frank TD, Carter A, Jahagirdar D, Biehl MH, Douwes-Schultz D, Larson SL, Arora M, Dwyer-Lindgren L, Steuben KM, Abbastabar H, Abu-Raddad LJ, Abyu DM, Adabi M, Adebayo OM, Adekanmbi V, Adetokunboh OO, Ahmadi A, Ahmadi K, Ahmadian E, Ahmadpour E, Ahmed MB, Akal CG, Alahdab F, Alam N, Albertson SB, Alemnew BTT, Alene KA, Alipour V, Alvis-Guzman N, Amini S, Anbari Z, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Areri HA, Asfaw ET, Ashagre AF, Asmelash D, Asrat AA, Avokpaho EFGA, Awasthi A, Awoke N, Ayanore MA, Azari S, Badawi A, Bagherzadeh M, Banach M, Barac A, Bärnighausen TW, Basu S, Bedi N, Behzadifar M, Bekele BB, Belay SA, Belay YB, Belayneh YM, Berhane A, Bhat AG, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Bitew H, Blinov A, Bogale KA, Bojia HA, Burugina Nagaraja SBN, Butt ZA, Cahuana-Hurtado L, Campuzano Rincon JC, Carvalho F, Chattu VK, Christopher DJ, Chu DT, Crider R, Dahiru T, Dandona L, Dandona R, Daryani A, das Neves J, De Neve JW, Degenhardt L, Demeke FM, Demis AB, Demissie DB, Demoz GT, Deribe K, Des Jarlais D, Dhungana GP, Diaz D, Djalalinia S, Do HP, Doan LP, Duber H, Dubey M, Dubljanin E, Duken EE, Duko Adema B, Effiong A, Eftekhari A, El Sayed Zaki M, El-Jaafary SI, El-Khatib Z, Elsharkawy A, Endries AY, Eskandarieh S, Eyawo O, Farzadfar F, Fatima B, Fentahun N, Fernandes E, Filip I, Fischer F, Folayan MO, Foroutan M, Fukumoto T, Fullman N, Garcia-Basteiro AL, Gayesa RT, Gebremedhin KB, Gebremeskel GGG, Gebreyohannes KK, Gedefaw GA, Gelaw BK, Gesesew HA, Geta B, Gezae KE, Ghadiri K, Ghashghaee A, Ginindza TTG, Gugnani HC, Guimarães RA, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Handanagic S, Handiso DW, Hanfore LK, Hasanzadeh A, Hassankhani H, Hassen HY, Hay SI, Henok A, Hoang CL, Hosgood HD, Hosseinzadeh M, Hsairi M, Ibitoye SE, Idrisov B, Ikuta KS, Ilesanmi OS, Irvani SSN, Iwu CJ, Jacobsen KH, James SL, Jenabi E, Jha RP, Jonas JB, Jorjoran Shushtari Z, Kabir A, Kabir Z, Kadel R, Kasaeian A, Kassa B, Kassa GM, Kassa TD, Kayode GA, Kebede MM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khan EA, Khan G, Khan J, Khang YH, Khatab K, Khazaei S, Khoja AT, Kiadaliri AA, Kim YJ, Kisa A, Kisa S, Kochhar S, Komaki H, Koul PA, Koyanagi A, Kuate Defo B, Kumar GA, Kumar M, Kuupiel D, Lal DK, Lee JJH, Lenjebo TL, Leshargie CT, Macarayan ERK, Maddison ER, Magdy Abd El Razek H, Magis-Rodriguez C, Mahasha PW, Majdan M, Majeed A, Malekzadeh R, Manafi N, Mapoma CC, Martins-Melo FR, Masaka A, Mayenga ENL, Mehta V, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Memish ZA, Mena AT, Mendoza W, Mengistu DT, Mengistu G, Meretoja TJ, Mestrovic T, Miller TR, Moazen B, Mohajer B, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadibakhsh R, Mohammadoo-Khorasani M, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Moodley Y, Moossavi M, Moradi G, Moradi-Lakeh M, Moschos MM, Mossie TB, Mousavi SM, Muchie KF, Muluneh AG, Muriithi MK, Mustafa G, Muthupandian S, Nagarajan AJ, Naik G, Najafi F, Nazari J, Ndwandwe DE, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Ningrum DNA, Nixon MR, Nnaji CA, Noroozi M, Noubiap JJ, Nourollahpour Shiadeh M, Obsa MS, Odame EA, Ofori-Asenso R, Ogbo FA, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olum S, Oppong Asante KOA, Oren E, Otstavnov SS, PA M, Padubidri JR, Pakhale S, Pakpour AH, Patel SK, Paulos K, Pepito VCF, Peprah EK, Piroozi B, Pourshams A, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman SU, Ranabhat CL, Rawaf S, Reis C, Renjith V, Reta MA, Rezai MS, Rios González CM, Roro EM, Rostami A, Rubino S, Saeedi Moghaddam S, Safari S, Sagar R, Sahraian MA, Salem MRR, Salimi Y, Salomon JA, Sambala EZ, Samy AM, Sartorius B, Satpathy M, Sawhney M, Sayyah M, Schutte AE, Sepanlou SG, Seyedmousavi S, Shabaninejad H, Shaheen AA, Shaikh MA, Shallo SA, Shamsizadeh M, Sharifi H, Shibuya K, Shin JI, Shirkoohi R, Silva DAS, Silveira DGA, Singh JA, Sisay MMM, Sisay M, Sisay S, Smith AE, Sokhan A, Somayaji R, Soshnikov S, Stein DJ, Sufiyan MB, Sunguya BF, Sykes BL, Tadesse BT, Tadesse DB, Tamirat KS, Taveira N, Tekelemedhin SW, Temesgen HD, Tesfay FH, Teshale MY, Thapa S, Tlaye KG, Topp SM, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Uthman OA, Veisani Y, Vladimirov SK, Wada FW, Waheed Y, Weldegwergs KG, Weldesamuel GTT, Westerman R, Wijeratne T, Wolde HF, Wondafrash DZ, Wonde TE, Wondmagegn BY, Yeshanew AG, Yilma MT, Yimer EM, Yonemoto N, Yotebieng M, Youm Y, Yu C, Zaidi Z, Zarghi A, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Naghavi M, Vollset SE, Wang H, Lim SS, Kyu HH, Murray CJL. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV 2019; 6:e831-e859. [PMID: 31439534 PMCID: PMC6934077 DOI: 10.1016/s2352-3018(19)30196-1] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. METHODS We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. FINDINGS Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. INTERPRETATION Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. FUNDING Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
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Medani K, Kazemi N, Reis C, Quispe-Espíritu JC, Juma H. Klippel Trenaunay syndrome in the context of work-related injury: Case report and review of the literature. J Family Med Prim Care 2019; 8:3064-3067. [PMID: 31681699 PMCID: PMC6820401 DOI: 10.4103/jfmpc.jfmpc_182_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/30/2019] [Accepted: 07/12/2019] [Indexed: 11/28/2022] Open
Abstract
Background: Uncommon diseases are usually not suspected at initial presentation, and the diagnosis might be challenging. Here we present a rare disease diagnosed in a work-related injury setting, highlighting the importance of further investigation by means of a more detail physical exam, imaging studies and involvement of other specialties. Case Presentation: A 21-year-old Hispanic male, who is a food service worker, presented following a work-related right elbow contusion with severe pain to his right elbow associated with swelling and purplish-red bruising/discoloration on its medial side and forearm. Physical exam demonstrated swelling, tenderness, and conspicuous dilated blood vessels across the right arm and forearm; additionally, multiple red-purplish scattered patches were found on the right arm, anterior and posterior right upper chest. His past medical history was significant for Capillary Hemangioma. He was initially treated conservatively and with work restriction; however, the pain in the forearm persisted. CT angiogram showed multiple interweaving vascular structures on the forearm, and further imaging by MR angiography depicted multiple vascular malformations in the right upper extremity and chest. Vascular surgery was consulted, and the diagnosis of Klippel-Trenaunay syndrome was made. Conclusions: Klippel-Trenaunay syndrome is a rare congenital disorder that could present in a wide-range of signs and symptoms. Thorough history taking and clinical examination is warranted in any work-related injuries. Further work up and referral to specialist should always be considered when diagnosis is unclear, or when initial symptoms do not resolve with treatment.
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Dou Z, Yu Q, Wang G, Wu S, Reis C, Ruan W, Yan F, Chen G. Circular RNA expression profiles alter significantly after intracerebral hemorrhage in rats. Brain Res 2019; 1726:146490. [PMID: 31610150 DOI: 10.1016/j.brainres.2019.146490] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 12/29/2022]
Abstract
Circular RNAs (circRNAs) are a class of covalently closed non-coding RNAs, and aberrant alteration of their expression patterns is studied in numerous diseases. This study aimed to investigate whether intracerebral hemorrhage (ICH) affected circRNA expression profiles in the rat brain. Adult male Sprague-Dawley rats were subjected to intrastriatal injection of autologous artery blood to establish the ICH model. The cerebral cortex around hematoma was collected to perform circRNA microarray at 6 h, 12 h and 24 h. Quantitative reverse transcription-PCR (qRT-PCR) was used to validate the results. Bioinformatic methods were applied to predict ceRNA network and perform enrichment analyses for parent genes at three time points and target mRNAs. 111, 1145, 1751 up-regulated and 47, 732, 1329 down-regulated circRNAs were detected in the cerebral cortex of rats at 6 h, 12 h and 24 h after ICH compared with sham group. Most were from exonic regions. 93 were up-regulated and 20 were down-regulated at all three time points. Microarray results of 3 circRNAs were confirmed via qRT-PCR. GO and KEGG analyses for parent genes showed transition from protein complex assembly, cell-cell adhesion and cAMP signaling pathway at 6 h to intracellular signal transduction, protein phosphorylation and glutamatergic synapse at 12 h and 24 h. A circRNA-miRNA-mRNA network was successfully predicted. Enrichment analyses of targeted mRNAs indicated transcriptional regulations and pathways including Rap1, Ras, MAPK, PI3K-Akt, TNF and Wnt signaling and pathways in cancer. This was the first study to demonstrate that ICH significantly altered the expression of circRNAs with promising targets for therapeutic intervention.
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Sa Mendes G, Abecasis J, Ferreira A, Ribeiras R, Reis C, Nolasco T, Gouveia R, Abecasis M, Mendes M, Ramos S, Neves J. P4657Cardiac myxomas: are we dealing with distinct clinical entities? Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.1039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Cardiac myxomas are rare, despite being the most common primary cardiac tumours. A significant number of myxomas are discovered accidentally in asymptomatic patients (pts), as there is increased use of non-invasive cardiac imaging. Our aim was to describe the experience of a cardiac surgery centre managing cardiac myxomas during the last 28 years.
Methods
Single-center retrospective study of consecutive pts admitted with the diagnosis of a cardiac myxomas between 1990 and 2018. Registry data concerning clinical presentation, non-invasive imaging assessment and definitive histopathology were collected.
Results
From 154 pts with the diagnosis of cardiac tumours, we identified 106 (68.8%) myxomas (67% females; mean age at diagnosis 61,5±13,1 years). Myxoma diagnosis increased throughout the 3 decades (27 cases until 2000; 26 cases in the second decade; 52 cases from 2010 until present). 30% of the pts were asymptomatic at diagnosis. Obstructive symptoms (heart failure and syncope) and embolic events were the most common complaints among symptomatic pts. Transthoracic echocardiography firstly identified the tumours in 88% of the cases. Cardiac magnetic resonance and computed tomography were performed for further investigation in 7% of the cases. Presumptive pre-operative diagnosis was correct in 83.8% pts.
Surgical excision was successfully achieved in all cases. 89% of the tumours were located in the left atrium with inter-atrial septum implantation (13 in right chambers; 1 valvular tumour). There were 10 multifocal tumours.
At histopathology myxomas were grossly described as mucous jelly appearance (80%), solid (15%) and mixed type lesions (5%). Rare histologic findings were described in 30% of the cases (8 tumours with bone tissue; 1 with forming bone marrow; 4 with endocrine type glandular epithelium; 16 with lympho-plasmocytic infiltrates; 3 with high mitotic grade; 5 with concomitant thrombus).
For a median follow up of 86 [31–214] months there were 15 deaths (2 of them with tumour related deaths). There were 3 recurrences (2 with high mitotic grade histology), mostly occurring 3 years after the first intervention.
Conclusion
In this case series cardiac myxomas are the most common cardiac tumours, with a significant proportion of asymptomatic lesions. Clinical heterogeneity followed polymorphic histology, with recognized differences when compared to classical descriptions of this kind of tumour.
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Peng W, Li Q, Tang J, Reis C, Araujo C, Feng R, Yuan M, Jin L, Cheng Y, Jia Y, Luo Y, Zhang J, Yang J. The risk factors and prognosis of delayed perihematomal edema in patients with spontaneous intracerebral hemorrhage. CNS Neurosci Ther 2019; 25:1189-1194. [PMID: 31542897 PMCID: PMC6776736 DOI: 10.1111/cns.13219] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 08/25/2019] [Accepted: 08/26/2019] [Indexed: 12/15/2022] Open
Abstract
PURPOSE We hypothesize delayed perihematomal edema (DHE) leads to secondary injury after spontaneous intracerebral hemorrhage (sICH) with a poor prognosis. Hence, we need to investigate the risk factors of DHE and identify whether DHE will predict the poor outcome of sICH. METHODS We retrospectively recruited 121 patients with sICH admitted to the Department of Neurology from January 2014 to August 2018. After dividing all these patients into DHE group and non-DHE group, we analyzed the potential risk factors and outcome of DHE using a multivariate logistic regression model. RESULTS We conclude DHE after sICH associates with age, hospitalization time, hematoma shape, blood pressure upon admission, alcohol consumption, blood sodium level, and baseline hematoma volume within 24 hours after symptom onset, among which differences were statistically significant (P < .05). Logistic regression analysis finally identified that age (OR = 0.958, 95% CI = 0.923-0.995) and the baseline hematoma volume (OR = 1.161, 95% CI = 1.089-1.238) were the most significant risk factors for DHE, and moreover, the DHE (OR = 3.062, 95% CI = 1.196-7.839) was also a risk factor for poor prognosis in sICH patients. CONCLUSION We suggest DHE is a clinical predictor of secondary injury following sICH and poor prognosis. In addition, age and baseline hematoma volume are considered significant high-risk factors for DHE in patients with sICH.
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Bras D, Reis C, Andrade MJ, Ribeiras R, Mendes M. P1474Simpsons Triplane versus Biplane for left ventricle ejection fraction after myocardial infarction. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz748.0239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Introduction
Simpson's biplane (SBP) ignores the apical long-axis plane. It is estimated that 40% of myocardial infarction (MI)-related segmental abnormalities are located in this plane. The real-time triplane (RT3P) overcomes this issue, allowing to obtain all apical views simultaneously, at the same cardiac cycle. This method could be a more precise and reliable alternative to SBP in ejection fraction (EF) quantification in this setting.
Purpose
The authors aimed to compare EF assessed by two quantification methods, SBP and RT3P, using quantitative three-dimensional echocardiography (3DE) as the reference method, in patients with MI.
Methods
We have prospectively gathered data from 52 adult patients, which had recent or past history of MI. Exclusion criteria were the presence of atrial fibrillation, unknown coronary anatomy, significant valvular disease, left branch block, ventricular pacing and poor definition of endocardial borders.
Estimation of EF by SBP, RT3P and 3DE was performed in all patients and gathered by two experienced operators. The two operators were blinded for the coronary angiography results before volume quantification. They were also blinded for their own measurements, as well as for the other operator's measurements.
Spearman's correlation and linear regression were performed for correlation analysis. Bland-Altman plot was used for agreement assessment among the different methods. Interobserver agreement was assessed by Cohen's kappa.
Results
Patient characteristics are shown in table 1. EF calculation was feasible in all patients.
There were excellent correlations between EF measured by SBP vs 3DE and RT3P vs 3DE (r=0.813 and r=0.9 respectively).
Test of equality between two correlation coefficients confirmed that EF by RT3P method is significantly more correlated with the reference method, compared with EF by SBP (p=0.004).
We have also performed a further analysis to study this results in special subsets. In anterior MI subset, EF by RT3P correlated by 0.909 with 3DE, versus 0.826 from EF by SBP (p=0.019). In inferior MI subset, EF by RT3P correlated by 0.779 with the reference method, versus 0.706 from EF by SBP (p=0.246).
Fig 1 Correlation and Bland-Altman plot
Conclusions
Estimation of EF using SBP and RT3P methods by experienced operators strongly correlate with EF determined by 3DE. The RT3P method showed the strongest correlation between the two methods, which may point to its usefulness in the evaluation of EF in patients with anterior wall motion abnormalities after myocardial infarction.
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Sun C, Enkhjargal B, Reis C, Zhang T, Zhu Q, Zhou K, Xie Z, Wu L, Tang J, Jiang X, Zhang JH. Osteopontin-Enhanced Autophagy Attenuates Early Brain Injury via FAK-ERK Pathway and Improves Long-Term Outcome after Subarachnoid Hemorrhage in Rats. Cells 2019; 8:cells8090980. [PMID: 31461955 PMCID: PMC6769958 DOI: 10.3390/cells8090980] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 08/14/2019] [Accepted: 08/18/2019] [Indexed: 01/31/2023] Open
Abstract
Osteopontin (OPN) enhances autophagy, reduces apoptosis, and attenuates early brain injury (EBI) after a subarachnoid hemorrhage (SAH). A total of 87 Sprague–Dawley rats were subjected to sham or SAH operations to further investigate the signaling pathway involved in osteopontin-enhanced autophagy during EBI, and the potential effect of recombinant OPN (rOPN) administration to improve long-term outcomes after SAH. Rats were randomly divided into five groups: Sham, SAH + Vehicle (PBS, phosphate-buffered saline), SAH + rOPN (5 μg/rat recombinant OPN), SAH + rOPN + Fib-14 (30 mg/kg of focal adhesion kinase (FAK) inhibitor-14), and SAH + rOPN + DMSO (dimethyl sulfoxide). Short-term and long-term neurobehavior tests were performed, followed by a collection of brain samples for assessment of autophagy markers in neurons, pathway proteins expression, and delayed hippocampal injury. Western blot, double immunofluorescence staining, Nissl staining, and Fluoro-Jade C staining assay were used. Results showed that rOPN administration increased autophagy in neurons and improved neurobehavior in a rat model of SAH. With the administration of FAK inhibitor-14 (Fib-14), neurobehavioral improvement and autophagy enhancement induced by rOPN were abolished, and there were consistent changes in the phosphorylation level of ERK1/2. In addition, early administration of rOPN in rat SAH models improved long-term neurobehavior results, possibly by alleviating hippocampal injury. These results suggest that FAK–ERK signaling may be involved in OPN-enhanced autophagy in the EBI phase after SAH. Early administration of rOPN may be a preventive and therapeutic strategy against delayed brain injury after SAH.
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Sun CM, Enkhjargal B, Reis C, Zhou KR, Xie ZY, Wu LY, Zhang TY, Zhu QQ, Tang JP, Jiang XD, Zhang JH. Osteopontin attenuates early brain injury through regulating autophagy-apoptosis interaction after subarachnoid hemorrhage in rats. CNS Neurosci Ther 2019; 25:1162-1172. [PMID: 31436915 PMCID: PMC6776743 DOI: 10.1111/cns.13199] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/28/2019] [Accepted: 07/07/2019] [Indexed: 12/17/2022] Open
Abstract
Aim To determine the effect of osteopontin (OPN) on autophagy and autophagy‐apoptosis interactions after SAH. Methods The endovascular perforation model of SAH or sham surgery was performed in a total of 86 Sprague‐Dawley male rats. The temporal expressions of endogenous OPN and autophagy‐related proteins (Beclin 1, ATG5, LC3 II to I ratio) were measured in sham and SAH rats at different time points (3, 6, 12, 24, and 72 hours). Rats were randomly divided into three groups: Sham, SAH + Vehicle (PBS, phosphate‐buffered saline), and SAH + rOPN (5 μg/rat recombinant OPN). Neurobehavioral tests were performed 24 hours after SAH, followed by the collection of brain samples for assessment of autophagy and apoptosis proteins. These tests assessed whether an autophagy‐apoptosis relationship existed on the histological level in the brain. Results Endogenous OPN and autophagy‐related proteins all increased after SAH. rOPN administration improved neurological dysfunction, increased the expression of autophagy‐related proteins (Beclin 1, ATG5, LC3 II to I ratio) and antiapoptotic protein Bcl‐2, while decreasing the expression of proapoptotic proteins (cleaved Caspase‐3 and Bax). rOPN also regulated autophagy‐apoptosis interactions 24 hours after SAH. Conclusion rOPN attenuates early brain injury and inhibits neuronal apoptosis by activating autophagy and regulating autophagy‐apoptosis interactions.
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Fang YJ, Mei SH, Lu JN, Chen YK, Chai ZH, Dong X, Araujo C, Reis C, Zhang JM, Chen S. New risk score of the early period after spontaneous subarachnoid hemorrhage: For the prediction of delayed cerebral ischemia. CNS Neurosci Ther 2019; 25:1173-1181. [PMID: 31407513 PMCID: PMC6776741 DOI: 10.1111/cns.13202] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 07/11/2019] [Accepted: 07/12/2019] [Indexed: 01/09/2023] Open
Abstract
Background and Purpose The aim of this study is to identify the early predictors for delayed cerebral ischemia (DCI) and develop a risk stratification score by focusing on the early change after aneurysmal subarachnoid hemorrhage (aSAH). Methods The study retrospectively reviewed aSAH patients between 2014 and 2015. Risk factors within 72 hours after aSAH were included into univariable and multivariable logistic regression analysis to screen the independent predictors for DCI and to design a risk stratification score. Results We analyzed 702 aSAH patients; four predictors were retained from the final multivariable analysis: World Federation of Neurosurgical Societies scale (WFNS; OR = 4.057, P < .001), modified Fisher Scale (mFS; OR = 2.623, P < .001), Subarachnoid Hemorrhage Early Brain Edema Score (SEBES; OR = 1.539, P = .036), and intraventricular hemorrhage (IVH; OR = 1.932, P = .002). According to the regression coefficient, we created a risk stratification score ranging from 0 to 7 (WFNS = 3, mFS = 2, SEBES = 1, and IVH = 1). The new score showed a significantly higher area under curve (0.785) compared with other scores (P < .001). Conclusion The early DCI score provides a practical method at the early 72 hours after aSAH to predict DCI.
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Leal S, Oliveira S, Querido A, Sargento A, Carvalho H, Reis C, Maximiano M, Frederico M. O19 Health outcomes in long-term healthcare units: the case of the Care4Value project. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Linneman Z, Reis C, Balaji K, Moore J, Braude S. The vitamin D positive feedback hypothesis of inflammatory bowel diseases. Med Hypotheses 2019; 127:154-158. [PMID: 31088641 DOI: 10.1016/j.mehy.2019.04.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Revised: 03/28/2019] [Accepted: 04/11/2019] [Indexed: 11/28/2022]
Abstract
While it appears that there are a variety of factors that exacerbate IBD, it is frustrating that symptoms can persist and worsen even when environmental insults are removed. We suggest that there may be a positive feedback loop which perpetuates the inflammatory response in IBD patients. The loop is triggered by vitamin D deficiency which reduces calcium uptake. Lowered vitamin D and calcium interfere with anti-inflammatory pathways. Inflammation of the mucosa inhibits absorption of calcium and thus perpetuates the reduced anti-inflammatory response. A number of predictions follow from this hypothesis and are supported by geographic and lifestyle patterns in IBD incidence and prevalence.
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Dias AC, Fontes MPF, Reis C, Bellato CR, Fendorf S. Simplex-Centroid mixture design applied to arsenic (V) removal from waters using synthetic minerals. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 238:92-101. [PMID: 30849602 DOI: 10.1016/j.jenvman.2019.02.099] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 02/08/2019] [Accepted: 02/20/2019] [Indexed: 06/09/2023]
Abstract
Arsenic (As) is a toxic and carcinogenic element. Therefore, it is necessary to carry out research on As-contaminated water management in order to achieve the World Health Organization (WHO) standard for drinking water (0.010 mg L-1). A Simplex-Centroid mixture design (SCMD) was used to determine the best mineral composition for both maximum adsorption capacity of As(V) (MAC-As) and residual concentration of As(V) (RC-As), using synthetic poorly crystallized aluminum hydroxide (pAlHyd), calcined layered double hydroxide (cLDH), and two-line ferrihydrite (2ℓFh). The analysis of variance results and the predicted values of models showed a good agreement with the experimental data, indicating that SCMD is a reliable method to optimize As removal through determination of the best mineral composition. The ability of pure synthetic minerals to remove As from water was different among those mixtures thereof, which indicate that the mineral components interacted with each other. Results showed that cLDH was the best As adsorbent. However, it showed a RC-As higher than the WHO standard. The pAlHyd and 2ℓFh exhibited smaller MAC-As, but they lowered RC-As to below 0.010 mg L-1, showing no direct relationship between high MAC-As and low RC-As. Therefore, mineral compositions which combine high adsorption capacity with low residual concentration should work better for removing As from drinking water, ensuring it meets the WHO potability standard. Ternary diagrams for MAC-As and RC-As showed that the best combination for maximizing MAC-As and reducing RC-As should be a mixture of 75-90% of cLDH, 10-20% of pAlHyd, and 0-5% of 2ℓFh.
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Reis C, Chen S, Tang J. An update on promising therapies for CNS conditions. Brain Inj 2019; 33:699-700. [PMID: 31060381 DOI: 10.1080/02699052.2019.1612093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
In this special edition, we present five articles that explore various neurovascular and neurodegenerative diseases and update the readers on promising therapies. We discuss where the current focus of research on central nervous conditions is heading. The topics range from discussing different brain injury models simulate human physiology, to analyzing outcomes following subdural hematoma evacuation. In addition, this special issue discusses new therapeutic targets during the acute phase of brain injury. The ideas and expert analysis regarding different neurological topics set up readers to explore future research on the subject matter.
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Johnson CO, Nguyen M, Roth GA, Nichols E, Alam T, Abate D, Abd-Allah F, Abdelalim A, Abraha HN, Abu-Rmeileh NME, Adebayo OM, Adeoye AM, Agarwal G, Agrawal S, Aichour AN, Aichour I, Aichour MTE, Alahdab F, Ali R, Alvis-Guzman N, Anber NH, Anjomshoa M, Arabloo J, Arauz A, Ärnlöv J, Arora A, Awasthi A, Banach M, Barboza MA, Barker-Collo SL, Bärnighausen TW, Basu S, Belachew AB, Belayneh YM, Bennett DA, Bensenor IM, Bhattacharyya K, Biadgo B, Bijani A, Bikbov B, Bin Sayeed MS, Butt ZA, Cahuana-Hurtado L, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castro F, Catalá-López F, Chaiah Y, Chiang PPC, Choi JYJ, Christensen H, Chu DT, Cortinovis M, Damasceno AAM, Dandona L, Dandona R, Daryani A, Davletov K, de Courten B, De la Cruz-Góngora V, Degefa MG, Dharmaratne SD, Diaz D, Dubey M, Duken EE, Edessa D, Endres M, FARAON EMERITOJOSEA, Farzadfar F, Fernandes E, Fischer F, Flor LS, Ganji M, Gebre AK, Gebremichael TG, Geta B, Gezae KE, Gill PS, Gnedovskaya EV, Gómez-Dantés H, Goulart AC, Grosso G, Guo Y, Gupta R, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Hankey GJ, Hassen HY, Hay SI, Hegazy MI, Heidari B, Herial NA, Hosseini MA, Hostiuc S, Irvani SSN, Islam SMS, Jahanmehr N, Javanbakht M, Jha RP, Jonas JB, Jozwiak JJ, Jürisson M, Kahsay A, Kalani R, Kalkonde Y, Kamil TA, Kanchan T, Karch A, Karimi N, Karimi-Sari H, Kasaeian A, Kassa TD, Kazemeini H, Kefale AT, Khader YS, Khalil IA, Khan EA, Khang YH, Khubchandani J, Kim D, Kim YJ, Kisa A, Kivimäki M, Koyanagi A, Krishnamurthi RK, Kumar GA, Lafranconi A, Lewington S, Li S, Lo WD, Lopez AD, Lorkowski S, Lotufo PA, Mackay MT, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Manafi N, Mansournia MA, Mehndiratta MM, Mehta V, Mengistu G, Meretoja A, Meretoja TJ, Miazgowski B, Miazgowski T, Miller TR, Mirrakhimov EM, Mohajer B, Mohammad Y, Mohammadoo-khorasani M, Mohammed S, Mohebi F, Mokdad AH, Mokhayeri Y, Moradi G, Morawska L, Moreno Velásquez I, Mousavi SM, Muhammed OSS, Muruet W, Naderi M, Naghavi M, Naik G, Nascimento BR, Negoi RI, Nguyen CT, Nguyen LH, Nirayo YL, Norrving B, Noubiap JJ, Ofori-Asenso R, Ogbo FA, Olagunju AT, Olagunju TO, Owolabi MO, Pandian JD, Patel S, Perico N, Piradov MA, Polinder S, Postma MJ, Poustchi H, Prakash V, Qorbani M, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar V, Rahman M, Rahman MA, Reis C, Remuzzi G, Renzaho AM, Ricci S, Roberts NLS, Robinson SR, Roever L, Roshandel G, Sabbagh P, Safari H, Safari S, Safiri S, Sahebkar A, Salehi Zahabi S, Samy AM, Santalucia P, Santos IS, Santos JV, Santric Milicevic MM, Sartorius B, Sawant AR, Schutte AE, Sepanlou SG, Shafieesabet A, Shaikh MA, Shams-Beyranvand M, Sheikh A, Sheth KN, Shibuya K, Shigematsu M, Shin MJ, Shiue I, Siabani S, Sobaih BH, Sposato LA, Sutradhar I, Sylaja PN, Szoeke CEI, Te Ao BJ, Temsah MH, Temsah O, Thrift AG, Tonelli M, Topor-Madry R, Tran BX, Tran KB, Truelsen TC, Tsadik AG, Ullah I, Uthman OA, Vaduganathan M, Valdez PR, Vasankari TJ, Vasanthan R, Venketasubramanian N, Vosoughi K, Vu GT, Waheed Y, Weiderpass E, Weldegwergs KG, Westerman R, Wolfe CDA, Wondafrash DZ, Xu G, Yadollahpour A, Yamada T, Yatsuya H, Yimer EM, Yonemoto N, Yousefifard M, Yu C, Zaidi Z, Zamani M, Zarghi A, Zhang Y, Zodpey S, Feigin VL, Vos T, Murray CJL. Global, regional, and national burden of stroke, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:439-458. [PMID: 30871944 PMCID: PMC6494974 DOI: 10.1016/s1474-4422(19)30034-1] [Citation(s) in RCA: 1649] [Impact Index Per Article: 329.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 12/17/2018] [Accepted: 01/18/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Stroke is a leading cause of mortality and disability worldwide and the economic costs of treatment and post-stroke care are substantial. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic, comparable method of quantifying health loss by disease, age, sex, year, and location to provide information to health systems and policy makers on more than 300 causes of disease and injury, including stroke. The results presented here are the estimates of burden due to overall stroke and ischaemic and haemorrhagic stroke from GBD 2016. METHODS We report estimates and corresponding uncertainty intervals (UIs), from 1990 to 2016, for incidence, prevalence, deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs). DALYs were generated by summing YLLs and YLDs. Cause-specific mortality was estimated using an ensemble modelling process with vital registration and verbal autopsy data as inputs. Non-fatal estimates were generated using Bayesian meta-regression incorporating data from registries, scientific literature, administrative records, and surveys. The Socio-demographic Index (SDI), a summary indicator generated using educational attainment, lagged distributed income, and total fertility rate, was used to group countries into quintiles. FINDINGS In 2016, there were 5·5 million (95% UI 5·3 to 5·7) deaths and 116·4 million (111·4 to 121·4) DALYs due to stroke. The global age-standardised mortality rate decreased by 36·2% (-39·3 to -33·6) from 1990 to 2016, with decreases in all SDI quintiles. Over the same period, the global age-standardised DALY rate declined by 34·2% (-37·2 to -31·5), also with decreases in all SDI quintiles. There were 13·7 million (12·7 to 14·7) new stroke cases in 2016. Global age-standardised incidence declined by 8·1% (-10·7 to -5·5) from 1990 to 2016 and decreased in all SDI quintiles except the middle SDI group. There were 80·1 million (74·1 to 86·3) prevalent cases of stroke globally in 2016; 41·1 million (38·0 to 44·3) in women and 39·0 million (36·1 to 42·1) in men. INTERPRETATION Although age-standardised mortality rates have decreased sharply from 1990 to 2016, the decrease in age-standardised incidence has been less steep, indicating that the burden of stroke is likely to remain high. Planned updates to future GBD iterations include generating separate estimates for subarachnoid haemorrhage and intracerebral haemorrhage, generating estimates of transient ischaemic attack, and including atrial fibrillation as a risk factor. FUNDING Bill & Melinda Gates Foundation.
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Reis C, Faria A, Pocinho M, Loureiro H. Self-control feeding in children. Eur J Public Health 2019. [DOI: 10.1093/eurpub/ckz034.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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James SL, Theadom A, Ellenbogen RG, Bannick MS, Montjoy-Venning W, Lucchesi LR, Abbasi N, Abdulkader R, Abraha HN, Adsuar JC, Afarideh M, Agrawal S, Ahmadi A, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akinyemi RO, Akseer N, Alahdab F, Alebel A, Alghnam SA, Ali BA, Alsharif U, Altirkawi K, Andrei CL, Anjomshoa M, Ansari H, Ansha MG, Antonio CAT, Appiah SCY, Ariani F, Asefa NG, Asgedom SW, Atique S, Awasthi A, Ayala Quintanilla BP, Ayuk TB, Azzopardi PS, Badali H, Badawi A, Balalla S, Banstola A, Barker-Collo SL, Bärnighausen TW, Bedi N, Behzadifar M, Behzadifar M, Bekele BB, Belachew AB, Belay YA, Bennett DA, Bensenor IM, Berhane A, Beuran M, Bhalla A, Bhaumik S, Bhutta ZA, Biadgo B, Biffino M, Bijani A, Bililign N, Birungi C, Boufous S, Brazinova A, Brown AW, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Catalá-López F, Chaiah Y, Champs AP, Chang JC, Choi JYJ, Christopher DJ, Cooper C, Crowe CS, Dandona L, Dandona R, Daryani A, Davitoiu DV, Degefa MG, Demoz GT, Deribe K, Djalalinia S, Do HP, Doku DT, Drake TM, Dubey M, Dubljanin E, El-Khatib Z, Ofori-Asenso R, Eskandarieh S, Esteghamati A, Esteghamati S, Faro A, Farzadfar F, Farzaei MH, Fereshtehnejad SM, Fernandes E, Feyissa GT, Filip I, Fischer F, Fukumoto T, Ganji M, Gankpe FG, Gebre AK, Gebrehiwot TT, Gezae KE, Gopalkrishna G, Goulart AC, Haagsma JA, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Haro JM, Hassankhani H, Hassen HY, Havmoeller R, Hawley C, Hay SI, Hegazy MI, Hendrie D, Henok A, Hibstu DT, Hoffman HJ, Hole MK, Homaie Rad E, Hosseini SM, Hostiuc S, Hu G, Hussen MA, Ilesanmi OS, Irvani SSN, Jakovljevic M, Jayaraman S, Jha RP, Jonas JB, Jones KM, Jorjoran Shushtari Z, Jozwiak JJ, Jürisson M, Kabir A, Kahsay A, Kahssay M, Kalani R, Karch A, Kasaeian A, Kassa GM, Kassa TD, Kassa ZY, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khalil I, Khan EA, Khan MS, Khang YH, Khazaie H, Khoja AT, Khubchandani J, Kiadaliri AA, Kim D, Kim YE, Kisa A, Koyanagi A, Krohn KJ, Kuate Defo B, Kucuk Bicer B, Kumar GA, Kumar M, Lalloo R, Lami FH, Lansingh VC, Laryea DO, Latifi A, Leshargie CT, Levi M, Li S, Liben ML, Lotufo PA, Lunevicius R, Mahotra NB, Majdan M, Majeed A, Malekzadeh R, Manda AL, Mansournia MA, Massenburg BB, Mate KKV, Mehndiratta MM, Mehta V, Meles H, Melese A, Memiah PTN, Mendoza W, Mengistu G, Meretoja A, Meretoja TJ, Mestrovic T, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Moazen B, Mohammadi M, Mohammed S, Mokdad AH, Molokhia M, Monasta L, Mondello S, Moosazadeh M, Moradi G, Moradi M, Moradi-Lakeh M, Moradinazar M, Morrison SD, Moschos MM, Mousavi SM, Murthy S, Musa KI, Mustafa G, Naghavi M, Naik G, Najafi F, Nangia V, Nascimento BR, Negoi I, Nguyen TH, Nichols E, Ningrum DNA, Nirayo YL, Nyasulu PS, Ogbo FA, Oh IH, Okoro A, Olagunju AT, Olagunju TO, Olivares PR, Otstavnov SS, Owolabi MO, P A M, Pakhale S, Pandey AR, Pesudovs K, Pinilla-Monsalve GD, Polinder S, Poustchi H, Prakash S, Qorbani M, Radfar A, Rafay A, Rafiei A, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MA, Rai RK, Rajati F, Ram U, Rawaf DL, Rawaf S, Reiner RC, Reis C, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Roever L, Ronfani L, Roshandel G, Roy N, Ruhago GM, Saddik B, Safari H, Safiri S, Sahraian MA, Salamati P, Saldanha RDF, Samy AM, Sanabria J, Santos JV, Santric Milicevic MMM, Sartorius B, Satpathy M, Savuon K, Schneider IJC, Schwebel DC, Sepanlou SG, Shabaninejad H, Shaikh MAA, Shams-Beyranvand M, Sharif M, Sharif-Alhoseini M, Shariful Islam SM, She J, Sheikh A, Shen J, Sheth KN, Shibuya K, Shiferaw MS, Shigematsu M, Shiri R, Shiue I, Shoman H, Siabani S, Siddiqi TJ, Silva JP, Silveira DGA, Sinha DN, Smith M, Soares Filho AM, Sobhani S, Soofi M, Soriano JB, Soyiri IN, Stein DJ, Stokes MA, Sufiyan MB, Sunguya BF, Sunshine JE, Sykes BL, Szoeke CEI, Tabarés-Seisdedos R, Te Ao BJ, Tehrani-Banihashemi A, Tekle MG, Temsah MH, Temsah O, Topor-Madry R, Tortajada-Girbés M, Tran BX, Tran KB, Tudor Car L, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Valdez PR, Vasankari TJ, Venketasubramanian N, Violante FS, Wagnew FWS, Waheed Y, Wang YP, Weldegwergs KG, Werdecker A, Wijeratne T, Winkler AS, Wyper GMA, Yano Y, Yaseri M, Yasin YJ, Ye P, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, Yost MG, Younis MZ, Yousefifard M, Yu C, Zaidi Z, Zaman SB, Zamani M, Zenebe ZM, Zodpey S, Feigin VL, Vos T, Murray CJL. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18:56-87. [PMID: 30497965 PMCID: PMC6291456 DOI: 10.1016/s1474-4422(18)30415-0] [Citation(s) in RCA: 943] [Impact Index Per Article: 188.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 10/02/2018] [Accepted: 10/30/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) and spinal cord injury (SCI) are increasingly recognised as global health priorities in view of the preventability of most injuries and the complex and expensive medical care they necessitate. We aimed to measure the incidence, prevalence, and years of life lived with disability (YLDs) for TBI and SCI from all causes of injury in every country, to describe how these measures have changed between 1990 and 2016, and to estimate the proportion of TBI and SCI cases caused by different types of injury. METHODS We used results from the Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study 2016 to measure the global, regional, and national burden of TBI and SCI by age and sex. We measured the incidence and prevalence of all causes of injury requiring medical care in inpatient and outpatient records, literature studies, and survey data. By use of clinical record data, we estimated the proportion of each cause of injury that required medical care that would result in TBI or SCI being considered as the nature of injury. We used literature studies to establish standardised mortality ratios and applied differential equations to convert incidence to prevalence of long-term disability. Finally, we applied GBD disability weights to calculate YLDs. We used a Bayesian meta-regression tool for epidemiological modelling, used cause-specific mortality rates for non-fatal estimation, and adjusted our results for disability experienced with comorbid conditions. We also analysed results on the basis of the Socio-demographic Index, a compound measure of income per capita, education, and fertility. FINDINGS In 2016, there were 27·08 million (95% uncertainty interval [UI] 24·30-30·30 million) new cases of TBI and 0·93 million (0·78-1·16 million) new cases of SCI, with age-standardised incidence rates of 369 (331-412) per 100 000 population for TBI and 13 (11-16) per 100 000 for SCI. In 2016, the number of prevalent cases of TBI was 55·50 million (53·40-57·62 million) and of SCI was 27·04 million (24·98-30·15 million). From 1990 to 2016, the age-standardised prevalence of TBI increased by 8·4% (95% UI 7·7 to 9·2), whereas that of SCI did not change significantly (-0·2% [-2·1 to 2·7]). Age-standardised incidence rates increased by 3·6% (1·8 to 5·5) for TBI, but did not change significantly for SCI (-3·6% [-7·4 to 4·0]). TBI caused 8·1 million (95% UI 6·0-10·4 million) YLDs and SCI caused 9·5 million (6·7-12·4 million) YLDs in 2016, corresponding to age-standardised rates of 111 (82-141) per 100 000 for TBI and 130 (90-170) per 100 000 for SCI. Falls and road injuries were the leading causes of new cases of TBI and SCI in most regions. INTERPRETATION TBI and SCI constitute a considerable portion of the global injury burden and are caused primarily by falls and road injuries. The increase in incidence of TBI over time might continue in view of increases in population density, population ageing, and increasing use of motor vehicles, motorcycles, and bicycles. The number of individuals living with SCI is expected to increase in view of population growth, which is concerning because of the specialised care that people with SCI can require. Our study was limited by data sparsity in some regions, and it will be important to invest greater resources in collection of data for TBI and SCI to improve the accuracy of future assessments. FUNDING Bill & Melinda Gates Foundation.
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Fang Y, Chen S, Reis C, Zhang J. The Role of Autophagy in Subarachnoid Hemorrhage: An Update. Curr Neuropharmacol 2018; 16:1255-1266. [PMID: 28382869 PMCID: PMC6251055 DOI: 10.2174/1570159x15666170406142631] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 03/16/2017] [Accepted: 04/05/2017] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Autophagy is an extensive self-degradation process for the disposition of cytosolic aggregated or misfolded proteins and defective organelles which executes the functions of pro-survival and pro-death to maintain cellular homeostasis. The pathway plays essential roles in several neurological disorders. Subarachnoid Hemorrhage (SAH) is a devastating subtype of hemorrhagic stroke with high risk of neurological deficit and high mortality. Early brain injury (EBI) plays a role in the poor clinical course and outcome after SAH. Recent studies have paid attention on the role of the autophagy pathway in the development of EBI after SAH. We aim to update the multifaceted roles of autophagy pathway in the pathogenesis of SAH, especially in the phase of EBI. METHODS We reviewed early researches related to autophagy and SAH. The following three aspects of contents will be mainly discussed: the process of the autophagy pathway, the role of the autophagy in SAH and the interaction between organelle dysfunction and autophagy pathway after SAH. RESULTS Accumulating evidence shows an increased autophagy reaction in response to early stages of SAH. However, others suggest inadequate or excessive autophagy activation can result in cell injury and death. In addition to autophagy, apoptosis and necrosis can occur in neurons simultaneously after SAH, leading to mixed features of cell death morphologies. And it is also known that there is extensive crosstalk between autophagy and apoptosis pathway. Subcellular organelles of neural cells generally participate in the formation and functional parts of autophagy process. CONCLUSION Autophagy plays an important role in the SAH-induced brain injury. A better understanding of the interrelationship among autophagy, apoptosis, and necrosis might provide us better therapeutic targets for the treatment of SAH.
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Ho WM, Akyol O, Reis H, Reis C, McBride D, Thome C, Zhang J. Autophagy after Subarachnoid Hemorrhage: Can Cell Death be Good? Curr Neuropharmacol 2018; 16:1314-1319. [PMID: 29173174 PMCID: PMC6251054 DOI: 10.2174/1570159x15666171123200646] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Revised: 07/30/2017] [Accepted: 11/21/2017] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Autophagy is a prosurvival, reparative process that maintainsww cellular homeostasis through lysosomal degradation of selected cytoplasmic components and programmed death of old, dysfunctional, or unnecessary cytoplasmic entities. According to growing evidence, autophagy shows beneficial effects following subarachnoid hemorrhage (SAH). SAH is considered one of the most devastating forms of stroke. METHODS In this review lies in revealing the pathophysiological pathways and the effects of autophagy. Current results from animal studies will be discussed focusing on the effects of inhibitors and inducers of autophagy. In addition, this review discusses the clinical translation of potential neuropharmacological targets that can help prevent early brain injury (EBI) following SAH by incorporating programmed cell death into clinical management. RESULTS Published data showed that autophagy mechanisms have a prosurvival effect to reduce apoptotic cell death after SAH. However, if SAH exceeds a certain stress threshold, autophagy mechanisms lead to increased apoptotic cell death, more brain injury, and worse outcome. CONCLUSION Future investigation on the differences and molecular switches between protective mechanisms of autophagy and excessive "self-eating" autophagy leading to cell death is needed to achieve more insight into the complex pathophysiology of brain injury after SAH. If autophagy after SAH can be controlled to lead to beneficial effects only, as the physiological self-control mechanism, this could be an important target for treatment.
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Cai F, Hong Y, Xu J, Wu Q, Reis C, Yan W, Wang W, Zhang J. A Novel Mutation of Aryl Hydrocarbon Receptor Interacting Protein Gene Associated with Familial Isolated Pituitary Adenoma Mediates Tumor Invasion and Growth Hormone Hypersecretion. World Neurosurg 2018; 123:e45-e59. [PMID: 30447469 DOI: 10.1016/j.wneu.2018.11.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 11/02/2018] [Accepted: 11/04/2018] [Indexed: 12/19/2022]
Abstract
BACKGROUND Germline mutations in the aryl hydrocarbon receptor-interacting protein (AIP) gene were identified in nearly 20% of families with familial isolated pituitary adenoma. Some variants of AIP have been confirmed to induce tumor cell proliferation and invasiveness; however, the mechanism is still unclear. METHODS A novel missense mutation (c.512C>T, p.T171I) was discovered in 3 patients from a Chinese family with familial isolated pituitary adenoma. In silico and multiplex ligation-dependent probe amplification analysis predicted the mutation to be pathogenic. GH3 and 293FT cell lines were used to verify the variant's effect on cell proliferation (Cell Counting Kit-8), invasiveness (Transwell) and growth hormone (GH) secretion (enzyme-linked immunosorbent assay) by transfection with different vectors: control, blank vector, wild-type AIP, p.T171I variant (experimental group), p.Q315* variant, and AIP small interfering RNA. Furthermore, Zac1, Sstr2, interleukin (IL)-6, and Stat3/phosphorylation-Stat3 expression (reverse transcription polymerase chain reaction, Western blot) in each group was also evaluated. RESULTS The experimental group, p.Q315* variant group, and AIP small interfering RNA-overexpressing group promoted cell proliferation at 24 and 48 hours, respectively (compared with the control group; P < 0.01 for both). Similarly, the cells in the experimental group manifested more invasion and GH secretion compared with the control group (P < 0.01 and P < 0.05, respectively). Furthermore, the experimental group cells expressed less Sstr2 (a prerequisite for the responsiveness to somatostatin analogues) and Zac1 (tumor suppressor gene), but more IL-6 and phosphorylated-Stat3 (GH-secretion related). CONCLUSIONS The novel AIP mutation c.512C>T (p.T171I) is a pathogenic variant that promoted cell proliferation, invasiveness, and GH secretion through regulation of Sstr2, Zac1, and IL-6/phosphorylated-Stat3 expression.
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Dicker D, Nguyen G, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abdurahman AA, Abebe HT, Abebe M, Abebe Z, Abebo TA, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya P, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshin A, Agarwal G, Aggarwal R, Aghayan SA, Agrawal S, Agrawal A, Ahmadi M, Ahmadi A, Ahmadieh H, Ahmed MLCB, Ahmed S, Ahmed MB, Aichour AN, Aichour I, Aichour MTE, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alebel A, Aleman AV, Alene KA, Al-Eyadhy A, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amini E, Ammar W, Amoako YA, Anber NH, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Anlay DZ, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Appiah SCY, Aremu O, Areri HA, Ärnlöv J, Arora M, Artaman A, Aryal KK, Asadi-Lari M, Asayesh H, Asfaw ET, Asgedom SW, Assadi R, Ataro Z, Atey TMM, Athari SS, Atique S, Atre SR, Atteraya MS, Attia EF, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Awuah B, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Ayuk TB, Azzopardi PS, Azzopardi-Muscat N, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banstola A, Barac A, Barboza MA, Barquera S, Barrero LH, Basaleem H, Bassat Q, Basu A, Basu S, Baune BT, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay E, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhatia E, Bhatt S, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Bisanzio D, Biswas T, Bjørge T, Bleyer A, Basara BB, Bose D, Bosetti C, Boufous S, Bourne R, Brady OJ, Bragazzi NL, Brant LC, Brazinova A, Breitborde NJK, Brenner H, Britton G, Brugha T, Burke KE, Busse R, Butt ZA, Cahuana-Hurtado L, Callender CSKH, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carreras G, Carrero JJ, Carter A, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Çavlin A, Cerin E, Chaiah Y, Champs AP, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chen W, Chiang PPC, Chimed-Ochir O, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Christensen H, Christopher DJ, Chung SC, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Cohen AJ, Collado-Mateo D, Constantin MM, Conti S, Cooper C, Cooper LT, Cortesi PA, Cortinovis M, Cousin E, Criqui MH, Cromwell EA, Crowe CS, Crump JA, Cucu A, Cunningham M, Daba AK, Dachew BA, Dadi AF, Dandona L, Dandona R, Dang AK, Dargan PI, Daryani A, Das SK, Das Gupta R, das Neves J, Dasa TT, Dash AP, Weaver ND, Davitoiu DV, Davletov K, Dayama A, Courten BD, De la Hoz FP, De leo D, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Dellavalle RP, Demoz GT, Demtsu BB, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dey S, Dharmaratne SD, Dhimal M, Ding EL, Djalalinia S, Doku DT, Dolan KA, Donnelly CA, Dorsey ER, Douwes-Schultz D, Doyle KE, Drake TM, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duncan BB, Duraes AR, Ebrahimi H, Ebrahimpour S, Edessa D, Edvardsson D, Eggen AE, El Bcheraoui C, El Sayed Zaki M, Elfaramawi M, El-Khatib Z, Ellingsen CL, Elyazar IRF, Enayati A, Endries AYY, Er B, Ermakov SP, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Esteghamati S, Fakhar M, Fakhim H, Farag T, Faramarzi M, Fareed M, Farhadi F, Farid TA, Farinha CSES, Farioli A, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Fazeli MS, Feigin VL, Feigl AB, Feizy F, Fentahun N, Fereshtehnejad SM, Fernandes E, Fernandes JC, Feyissa GT, Fijabi DO, Filip I, Finegold S, Fischer F, Flor LS, Foigt NA, Ford JA, Foreman KJ, Fornari C, Frank TD, Franklin RC, Fukumoto T, Fuller JE, Fullman N, Fürst T, Furtado JM, Futran ND, Galan A, Gallus S, Gambashidze K, Gamkrelidze A, Gankpe FG, Garcia-Basteiro AL, Garcia-Gordillo MA, Gebre T, Gebre AK, Gebregergs GB, Gebrehiwot TT, Gebremedhin AT, Gelano TF, Gelaw YA, Geleijnse JM, Genova-Maleras R, Gessner BD, Getachew S, Gething PW, Gezae KE, Ghadami MR, Ghadimi R, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghiasvand H, Ghimire M, Ghoshal AG, Gill PS, Gill TK, Gillum RF, Giussani G, Goenka S, Goli S, Gomez RS, Gomez-Cabrera MC, Gómez-Dantés H, Gona PN, Goodridge A, Gopalani SV, Goto A, Goulart AC, Goulart BNG, Grada A, Grosso G, Gugnani HC, Guimaraes ALS, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Gyawali B, Haagsma JA, Hachinski V, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Harb HL, Harikrishnan S, Haririan H, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay RJ, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari M, Hendrie D, Henok A, Henry NJ, Heredia-Pi I, Herteliu C, Heydarpour F, Heydarpour P, Heydarpour S, Hibstu DT, Hoek HW, Hole MK, Homaie Rad E, Hoogar P, Horino M, Hosgood HD, Hosseini SM, Hosseinzadeh M, Hostiuc S, Hostiuc M, Hotez PJ, Hoy DG, Hsairi M, Htet AS, Hu G, Huang JJ, Husseini A, Hussen MM, Hutfless S, Iburg KM, Igumbor EU, Ikeda CT, Ilesanmi OS, Iqbal U, Irvani SSN, Isehunwa OO, Islam SMS, Islami F, Jahangiry L, Jahanmehr N, Jain R, Jain SK, Jakovljevic M, James SL, Javanbakht M, Jayaraman S, Jayatilleke AU, Jee SH, Jeemon P, Jha RP, Jha V, Ji JS, Johnson SC, Jonas JB, Joshi A, Jozwiak JJ, Jungari SB, Jürisson M, K M, Kabir Z, Kadel R, Kahsay A, Kahssay M, Kalani R, Kapil U, Karami M, Karami Matin B, Karch A, Karema C, Karimi N, Karimi SM, Karimi-Sari H, Kasaeian A, Kassa GM, Kassa TD, Kassa ZY, Kassebaum NJ, Katibeh M, Katikireddi SV, Kaul A, Kawakami N, Kazemeini H, Kazemi Z, Karyani AK, K C P, Kebede S, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kereselidze M, Khader YS, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan G, Khan MS, Khan MA, Khang YH, Khanna T, Khater MM, Khatony A, Khazaie H, Khoja AT, Khosravi A, Khosravi MH, Khubchandani J, Kiadaliri AA, Kibret GDD, Kim CI, Kim D, Kim JY, Kim YE, Kimokoti RW, Kinfu Y, Kinra S, Kisa A, Kissimova-Skarbek K, Kissoon N, Kivimäki M, Kleber ME, Knibbs LD, Knudsen AKS, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Kosek MN, Kosen S, Koul PA, Koyanagi A, Kravchenko MA, Krishan K, Krishnaswami S, Kuate Defo B, Kucuk Bicer B, Kudom AA, Kuipers EJ, Kulikoff XR, Kumar GA, Kumar M, Kumar P, Kumsa FA, Kutz MJ, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lam H, Lami FH, Lan Q, Langan SM, Lansingh VC, Lansky S, Larson HJ, Laryea DO, Lassi ZS, Latifi A, Lavados PM, Laxmaiah A, Lazarus JV, Lebedev G, Lee PH, Leigh J, Leshargie CT, Leta S, Levi M, Li S, Li Y, Li X, Liang J, Liang X, Liben ML, Lim LL, Lim SS, Limenih MA, Linn S, Liu S, Liu Y, Lodha R, Logroscino G, Lonsdale C, Lorch SA, Lorkowski S, Lotufo PA, Lozano R, Lucas TCD, Lunevicius R, Lyons RA, Ma S, Mabika C, Macarayan ERK, Mackay MT, Maddison ER, Maddison R, Madotto F, Magdy Abd El Razek H, Magdy Abd El Razek M, Maghavani DP, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malik MA, Malta DC, Mamun AA, Manamo WA, Manda AL, Mansournia MA, Mantovani LG, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marina S, Martinez-Raga J, Martins SCO, Martins-Melo FR, März W, Marzan MB, Mashamba-Thompson TP, Masiye F, Massenburg BB, Maulik PK, Mazidi M, McGrath JJ, McKee M, Mehata S, Mehendale SM, Mehndiratta MM, Mehrotra R, Mehta KM, Mehta V, Mekonen T, Mekonnen TC, Meles HG, Meles KG, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miangotar Y, Miazgowski B, Miazgowski T, Miller TR, Mini GK, Mirica A, Mirrakhimov EM, Misganaw AT, Moazen B, Moges NA, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammadi-Khanaposhtani M, Mohammadnia-Afrouzi M, Mohammed S, Mohammed MA, Mohan V, Mokdad AH, Molokhia M, Monasta L, Moradi G, Moradi M, Moradi-Lakeh M, Moradinazar M, Moraga P, Morawska L, Moreno Velásquez I, Morgado-da-Costa J, Morrison SD, Mosapour A, Moschos MM, Mousavi SM, Muche AA, Muchie KF, Mueller UO, Mukhopadhyay S, Mullany EC, Muller K, Murhekar M, Murphy TB, Murthy GVS, Murthy S, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naghavi M, Naheed A, Nahvijou A, Naik G, Nair S, Najafi F, Nangia V, Nansseu JR, Nascimento BR, Nawaz H, Ncama BP, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen HT, Nguyen HT, Nguyen LH, Nguyen M, Nguyen TH, Ningrum DNA, Nirayo YL, Nisar MI, Nixon MR, Nolutshungu N, Nomura S, Norheim OF, Noroozi M, Norrving B, Noubiap JJ, Nouri HR, Nourollahpour Shiadeh M, Nowroozi MR, Nsoesie EO, Nyasulu PS, Ofori-Asenso R, Ogah OS, Ogbo FA, Oh IH, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Olusanya BO, Olusanya JO, Ong SK, Opio JN, Oren E, Ortiz JR, Ortiz A, Ota E, Otstavnov SS, Øverland S, Owolabi MO, Oyekale AS, P A M, Pacella R, Pakhale S, Pakhare AP, Pana A, Panda BK, Panda-Jonas S, Pandey AR, Pandian JD, Parisi A, Park EK, Parry CDH, Parsian H, Patel S, Patle A, Patten SB, Patton GC, Paudel D, Pearce N, Peprah EK, Pereira A, Pereira DM, Perez KM, Perico N, Pervaiz A, Pesudovs K, Petri WA, Petzold M, Phillips MR, Pigott DM, Pillay JD, Pirsaheb M, Pishgar F, Plass D, Polinder S, Pond CD, Popova S, Postma MJ, Pourmalek F, Pourshams A, Poustchi H, Prabhakaran D, Prakash V, Prakash S, Prasad N, Qorbani M, Quistberg DA, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi K, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman MA, Rahman SU, Rai RK, Rajati F, Rajsic S, Raju SB, Ram U, Ranabhat CL, Ranjan P, Ranta A, Rasella D, Rawaf DL, Rawaf S, Ray SE, Razo-García C, Rego MAS, Rehm J, Reiner RC, Reinig N, Reis C, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Ribeiro ALP, Riojas H, Rios-Blancas MJ, Roba KT, Robinson SR, Roever L, Ronfani L, Roshandel G, Roshchin DO, Rostami A, Rothenbacher D, Rubagotti E, Ruhago GM, Saadat S, Sabde YD, Sachdev PS, Saddik B, Sadeghi E, Moghaddam SS, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salahshoor MR, Salam N, Salama JS, Salamati P, Saldanha RDF, Salimi Y, Salimzadeh H, Salz I, Sambala EZ, Samy AM, Sanabria J, Sanchez-Niño MD, Santos IS, Santos JV, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Savic M, Sawant AR, Sawhney M, Saxena S, Sayyah M, Scaria V, Schaeffner E, Schelonka K, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Schwendicke F, Scott JG, Sekerija M, Sepanlou SG, Serván-Mori E, Shabaninejad H, Shackelford KA, Shafieesabet A, Shaheen AA, 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Temsah MH, Temsah O, Terkawi AS, Teshale MY, Tessema B, Teweldemedhin M, Thakur JS, Thankappan KR, Thirunavukkarasu S, Thomas LA, Thomas N, Thrift AG, Tilahun B, To QG, Tobe-Gai R, Tonelli M, Topor-Madry R, Topouzis F, Torre AE, Tortajada-Girbés M, Tovani-Palone MR, Towbin JA, Tran BX, Tran KB, Tripathi S, Tripathy SP, Truelsen TC, Truong NT, Tsadik AG, Tsilimparis N, Tudor Car L, Tuzcu EM, Tyrovolas S, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Varughese S, Vasankari TJ, Vasconcelos AMN, Venketasubramanian N, Vidavalur R, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vujcic IS, Wagner GR, Wagnew FWS, Waheed Y, Wang Y, Wang YP, Wassie MM, Weiderpass E, Weintraub RG, Weiss DJ, Weiss J, Weldegebreal F, Weldegwergs KG, Werdecker A, Westerman R, Whiteford HA, Widecka J, Widecka K, Wijeratne T, Winkler AS, Wiysonge CS, Wolfe CDA, Wondemagegn SA, Wu S, Wyper GMA, Xu G, Yadav R, Yakob B, Yamada T, Yan LL, Yano Y, Yaseri M, Yasin YJ, Ye P, Yearwood JA, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, York HW, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zachariah G, Zadnik V, Zafar S, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeeb H, Zeleke MM, Zenebe ZM, Zerfu TA, Zhang K, Zhang X, Zhou M, Zhu J, Zodpey S, Zucker I, Zuhlke LJJ, Lopez AD, Gakidou E, Murray CJL. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1684-1735. [PMID: 30496102 PMCID: PMC6227504 DOI: 10.1016/s0140-6736(18)31891-9] [Citation(s) in RCA: 575] [Impact Index Per Article: 95.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 07/14/2018] [Accepted: 08/08/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. METHODS The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. FINDINGS Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. INTERPRETATION This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. FUNDING Bill & Melinda Gates Foundation.
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Lozano R, Fullman N, Abate D, Abay SM, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdollahpour I, Abdulkader RS, Abebe ND, Abebe Z, Abejie AN, Abera SF, Abil OZ, Aboyans V, Abraha HN, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NM, Abyu GY, Accrombessi MMK, Acharya D, Acharya P, Adamu AA, Adebayo OM, Adedeji IA, Adedoyin RA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshari M, Afshin A, Agarwal G, Aghayan SA, Agius D, Agrawal A, Agrawal S, Ahmadi A, Ahmadi M, Ahmadieh H, Ahmed MB, Ahmed S, Akalu TY, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alam T, Albujeer A, Alebel A, Alene KA, Al-Eyadhy A, Alhabib S, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Allen CA, Almasi A, Al-Maskari F, Al-Mekhlafi HM, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Amenu K, Amini E, Ammar W, Anber NH, Anderson JA, Andrei CL, Androudi S, Animut MD, Anjomshoa M, Ansari H, Ansariadi A, Ansha MG, Antonio CAT, Anwari P, Appiah LT, Aremu O, Areri HA, Ärnlöv J, Arora M, Aryal KK, Asayesh H, Asfaw ET, Asgedom SW, Asghar RJ, Assadi R, Ataro Z, Atique S, Atre SR, Atteraya MS, Ausloos M, Avila-Burgos L, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele HT, Ayele Y, Ayer R, Azarpazhooh MR, Azzopardi PS, Azzopardi-Muscat N, Babalola TK, Babazadeh A, Badali H, Badawi A, Balakrishnan K, Bali AG, Banach M, Banerjee A, Banoub JAM, Banstola A, Barac A, Barboza MA, Barker-Collo SL, Bärnighausen TW, Barrero LH, Barthelemy CM, Bassat Q, Basu A, Basu S, Battista RJ, Baune BT, Baynes HW, Bazargan-Hejazi S, Bedi N, Beghi E, Behzadifar M, Behzadifar M, Béjot Y, Bekele BB, Belachew AB, Belay AG, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Benzian H, Berhane A, Berhe AK, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Beyranvand T, Bhala N, Bhalla A, Bhansali 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Zucker I, Zuhlke LJJ, Lim SS, Murray CJL. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:2091-2138. [PMID: 30496107 PMCID: PMC6227911 DOI: 10.1016/s0140-6736(18)32281-5] [Citation(s) in RCA: 264] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/06/2018] [Accepted: 09/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. FINDINGS The global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. INTERPRETATION The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. FUNDING Bill & Melinda Gates Foundation.
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Murray CJL, Callender CSKH, Kulikoff XR, Srinivasan V, Abate D, Abate KH, Abay SM, Abbasi N, Abbastabar H, Abdela J, Abdelalim A, Abdel-Rahman O, Abdi A, Abdoli N, Abdollahpour I, Abdulkader RS, Abebe HT, Abebe M, Abebe Z, Abebo TA, Abejie AN, Aboyans V, Abraha HN, Abreu DMX, Abrham AR, Abu-Raddad LJ, Abu-Rmeileh NME, Accrombessi MMK, Acharya P, Adamu AA, Adebayo OM, Adedeji IA, Adekanmbi V, Adetokunboh OO, Adhena BM, Adhikari TB, Adib MG, Adou AK, Adsuar JC, Afarideh M, Afshin A, Agarwal G, Agesa KM, Aghayan SA, Agrawal S, Ahmadi A, Ahmadi M, Ahmed MB, Ahmed S, Aichour AN, Aichour I, Aichour MTE, Akanda AS, Akbari ME, Akibu M, Akinyemi RO, Akinyemiju T, Akseer N, Alahdab F, Al-Aly Z, Alam K, Alebel A, Aleman AV, Alene KA, Al-Eyadhy A, Ali R, Alijanzadeh M, Alizadeh-Navaei R, Aljunid SM, Alkerwi A, Alla F, Allebeck P, Almasi A, Alonso J, Al-Raddadi RM, Alsharif U, Altirkawi K, Alvis-Guzman N, Amare AT, Ammar W, Anber NH, Andrei CL, Androudi S, Animut MD, Ansari H, Ansha MG, Antonio CAT, Appiah SCY, Aremu O, Areri HA, Arian N, Ärnlöv J, Artaman A, Aryal KK, Asayesh H, Asfaw ET, Asgedom SW, Assadi R, Atey TMM, Atique S, Atteraya MS, Ausloos M, Avokpaho EFGA, Awasthi A, Ayala Quintanilla BP, Ayele Y, Ayer R, Ayuk TB, Azzopardi PS, Babalola TK, Babazadeh A, Badali H, Badawi A, Bali AG, Banach M, Barker-Collo SL, Bärnighausen TW, Barrero LH, Basaleem H, Bassat Q, Basu A, Baune BT, Baynes HW, Beghi E, Behzadifar M, Behzadifar M, Bekele BB, Belachew AB, Belay AG, Belay E, Belay SA, Belay YA, Bell ML, Bello AK, Bennett DA, Bensenor IM, Bergeron G, Berhane A, Berman AE, Bernabe E, Bernstein RS, Bertolacci GJ, Beuran M, Bhattarai S, Bhaumik S, Bhutta ZA, Biadgo B, Bijani A, Bikbov B, Bililign N, Bin Sayeed MS, Birlik SM, Birungi C, Biswas T, Bizuneh H, Bleyer A, Basara BB, Bosetti C, Boufous S, Brady OJ, Bragazzi NL, Brainin M, Brazinova A, Breitborde NJK, Brenner H, Brewer JD, Briant PS, Britton G, Burstein R, Busse R, Butt ZA, Cahuana-Hurtado L, Campos-Nonato IR, Campuzano Rincon JC, Cano J, Car M, Cárdenas R, Carrero JJ, Carvalho F, Castañeda-Orjuela CA, Castillo Rivas J, Castro F, Catalá-López F, Çavlin A, Cerin E, Chalek J, Chang HY, Chang JC, Chattopadhyay A, Chaturvedi P, Chiang PPC, Chin KL, Chisumpa VH, Chitheer A, Choi JYJ, Chowdhury R, Christopher DJ, Cicuttini FM, Ciobanu LG, Cirillo M, Claro RM, Collado-Mateo D, Comfort H, Constantin MM, Conti S, Cooper C, Cooper LT, Cornaby L, Cortesi PA, Cortinovis M, Costa M, Cromwell E, Crowe CS, Cukelj P, Cunningham M, Daba AK, Dachew BA, Dandona L, Dandona R, Dargan PI, Daryani A, Das Gupta R, Das Neves J, Dasa TT, Dash AP, Weaver ND, Davitoiu DV, Davletov K, De Leo D, De Neve JW, Degefa MG, Degenhardt L, Degfie TT, Deiparine S, Demoz GT, Demtsu B, Denova-Gutiérrez E, Deribe K, Dervenis N, Des Jarlais DC, Dessie GA, Dharmaratne SD, Dhimal M, Dicker D, Ding EL, Dinsa GD, Djalalinia S, Do HP, Dokova K, Doku DT, Dolan KA, Doyle KE, Driscoll TR, Dubey M, Dubljanin E, Duken EE, Duraes AR, Ebrahimpour S, Edvardsson D, El Bcheraoui C, El-Khatib Z, Elyazar IR, Enayati A, Endries AY, Ermakov SP, Eshrati B, Eskandarieh S, Esmaeili R, Esteghamati A, Esteghamati S, Estep K, Fakhim H, Farag T, Faramarzi M, Fareed M, Farinha CSES, Faro A, Farvid MS, Farzadfar F, Farzaei MH, Fay KA, Fazeli MS, Feigin VL, Feigl AB, Feizy F, Fenny AP, Fentahun N, Fereshtehnejad SM, Fernandes E, Feyissa GT, Filip I, Finegold S, Fischer F, Flor LS, Foigt NA, Foreman KJ, Fornari C, Fürst T, Fukumoto T, Fuller JE, Fullman N, Gakidou E, Gallus S, Gamkrelidze A, Ganji M, Gankpe FG, Garcia GM, Garcia-Gordillo MÁ, Gebre AK, Gebre T, Gebregergs GB, Gebrehiwot TT, Gebremedhin AT, Gelano TF, Gelaw YA, Geleijnse JM, Genova-Maleras R, Gething P, Gezae KE, Ghadami MR, Ghadimi R, Ghadiri K, Ghasemi Falavarjani K, Ghasemi-Kasman M, Ghiasvand H, Ghimire M, Ghoshal AG, Gill PS, Gill TK, Giussani G, Gnedovskaya EV, Goli S, Gomez RS, Gómez-Dantés H, Gona PN, Goodridge A, Gopalani SV, Goulart AC, Goulart BNG, Grada A, Grosso G, Gugnani HCC, Guo J, Guo Y, Gupta PC, Gupta R, Gupta R, Gupta T, Haagsma JA, Hachinski V, Hafezi-Nejad N, Hagos TB, Hailegiyorgis TT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Hao Y, Harb HL, Haririan H, Haro JM, Hasan M, Hassankhani H, Hassen HY, Havmoeller R, Hay SI, He Y, Hedayatizadeh-Omran A, Hegazy MI, Heibati B, Heidari B, Hendrie D, Henok A, Henry NJ, Herteliu C, Heydarpour F, Hibstu DT, Hole MK, Homaie Rad E, Hoogar P, Hosgood HD, Hosseini SM, Hosseini Chavoshi MM, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hsairi M, Hsiao T, Hu G, Huang JJ, Iburg KM, Igumbor EU, Ikeda CT, Ilesanmi OS, Iqbal U, Irenso AA, Irvani SSN, Isehunwa OO, Islam SMS, Jahangiry L, Jahanmehr N, Jain SK, Jakovljevic M, Jalu MT, James SL, Jassal SK, Javanbakht M, Jayatilleke AU, Jeemon P, Jha RP, Jha V, Ji JS, Jonas JB, Jozwiak JJ, Jungari SB, Jürisson M, Kabir Z, Kadel R, Kahsay A, Kalani R, Kapil U, Karami M, Matin BK, Karch A, Karema C, Karimi SM, Kasaeian A, Kassa DH, Kassa GM, Kassa TD, Kassa ZY, Kassebaum NJ, Kastor A, Katikireddi SV, Kaul A, Kawakami N, Karyani AK, Kebede S, Keiyoro PN, Kemp GR, Kengne AP, Keren A, Kereselidze M, Khader YS, Khafaie MA, Khajavi A, Khalid N, Khalil IA, Khan EA, Khan MS, Khang YH, Khanna T, Khater MM, Khatony A, Khazaeipour Z, Khazaie H, Khoja AT, Khosravi A, Khosravi MH, Kibret GD, Kidanemariam ZT, Kiirithio DN, Kilgore PE, Kim D, Kim JY, Kim YE, Kim YJ, Kimokoti RW, Kinfu Y, Kinra S, Kisa A, Kivimäki M, Kochhar S, Kokubo Y, Kolola T, Kopec JA, Kosek MN, Kosen S, Koul PA, Koyanagi A, Krishan K, Krishnaswami S, Krohn KJ, Defo BK, Bicer BK, Kumar GA, Kumar M, Kumar P, Kumsa FA, Kutz MJ, Lad SD, Lafranconi A, Lal DK, Lalloo R, Lam H, Lami FH, Lang JJ, Lanksy S, Lansingh VC, Laryea DO, Lassi ZS, Latifi A, Laxmaiah A, Lazarus JV, Lee JB, Lee PH, Leigh J, Leshargie CT, Leta S, Levi M, Li S, Li X, Li Y, Liang J, Liang X, Liben ML, Lim LL, Limenih MA, Linn S, Liu S, Lorkowski S, Lotufo PA, Lozano R, Lunevicius R, Mabika CM, Macarayan ERK, Mackay MT, Madotto F, Mahmood TAE, Mahotra NB, Majdan M, Majdzadeh R, Majeed A, Malekzadeh R, Malik MA, Mamun AA, Manamo WA, Manda AL, Mangalam S, Mansournia MA, Mantovani LG, Mapoma CC, Marami D, Maravilla JC, Marcenes W, Marina S, Martins-Melo FR, März W, Marzan MB, Mashamba-Thompson TP, Masiye F, Mason-Jones AJ, Massenburg BB, Mathur MR, Maulik PK, Mazidi M, McGrath JJ, Mehata S, Mehendale SM, Mehndiratta MM, Mehrotra R, Mehrzadi S, Mehta KM, Mehta V, Mekonnen TC, Meles HG, Meles KG, Melese A, Melku M, Memiah PTN, Memish ZA, Mendoza W, Mengesha MM, Mengistu DT, Mengistu G, Mensah GA, Mereta ST, Meretoja A, Meretoja TJ, Mestrovic T, Mezgebe HB, Miangotar Y, Miazgowski B, Miazgowski T, Miller TR, Miller-Petrie MK, Mini GK, Mirabi P, Mirica A, Mirrakhimov EM, Misganaw AT, Moazen B, Mohammad KA, Mohammadi M, Mohammadifard N, Mohammadi-Khanaposhtani M, Mohammed MA, Mohammed S, Mokdad AH, Mola GD, Molokhia M, Monasta L, Montañez JC, Moradi G, Moradi M, Moradi-Lakeh M, Moradinazar M, Moraga P, Morgado-Da-Costa J, Mori R, Morrison SD, Mosapour A, Moschos MM, Mousavi SM, Muche AA, Muchie KF, Mueller UO, Mukhopadhyay S, Muller K, Murphy TB, Murthy GVS, Musa J, Musa KI, Mustafa G, Muthupandian S, Nachega JB, Nagel G, Naghavi M, Naheed A, Nahvijou A, Naik G, Naik P, Najafi F, Naldi L, Nangia V, Nansseu JR, Nascimento BR, Nawaz H, Ncama BP, Neamati N, Negoi I, Negoi RI, Neupane S, Newton CRJ, Ngalesoni FN, Ngunjiri JW, Nguyen G, Nguyen LH, Nguyen TH, Ningrum DNA, Nirayo YL, Nisar MI, Nixon MR, Nomura S, Noroozi M, Noubiap JJ, Nouri HR, Shiadeh MN, Nowroozi MR, Nyandwi A, Nyasulu PS, Odell CM, Ofori-Asenso R, Ogah OS, Ogbo FA, Oh IH, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olivares PR, Olusanya BO, Olusanya JO, Ong SK, Ortiz A, Osgood-Zimmerman A, Ota E, Otieno BA, Otstavnov SS, Owolabi MO, Oyekale AS, P A M, Pakhale S, Pakhare AP, Pana A, Panda BK, Panda-Jonas S, Pandey AR, Park EK, Parsian H, Patel S, Patil ST, Patle A, Patton GC, Paturi VR, Paudel D, Pedroso MM, Peprah EK, Pereira DM, Perico N, Pesudovs K, Petri WA, Petzold M, Pierce M, Pigott DM, Pillay JD, Pirsaheb M, Polanczyk GV, Postma MJ, Pourmalek F, Pourshams A, Poustchi H, Prakash S, Prasad N, Purcell CA, Purwar MB, Qorbani M, Quansah R, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman M, Rahman MS, Rahman MHU, Rahman MA, Rahman SU, Rai RK, Rajati F, Rajsic S, Ram U, Ranabhat CL, Ranjan P, Rawaf DL, Rawaf S, Ray SE, Razo-García C, Reiner RC, Reis C, Remuzzi G, Renzaho AMN, Resnikoff S, Rezaei S, Rezaeian S, Rezai MS, Riahi SM, Rios-Blancas MJ, Roba KT, Roberts NLS, Roever L, Ronfani L, Roshandel G, Rostami A, Rubagotti E, Ruhago GM, Sabde YD, Sachdev PS, Saddik B, Saeedi Moghaddam S, Safari H, Safari Y, Safari-Faramani R, Safdarian M, Safi S, Safiri S, Sagar R, Sahebkar A, Sahraian MA, Sajadi HS, Salahshoor MR, Salam N, Salama JS, Salamati P, Saldanha RDF, Saleem Z, Salimi Y, Salimzadeh H, Salomon JA, Salvi SS, Salz I, Sambala EZ, Samy AM, Sanabria J, Sanchez-Niño MD, Santos IS, Santric Milicevic MM, Sao Jose BP, Sardana M, Sarker AR, Sarmiento-Suárez R, Saroshe S, Sarrafzadegan N, Sartorius B, Sarvi S, Sathian B, Satpathy M, Sawant AR, Sawhney M, Saxena S, Schaeffner E, Schelonka K, Schneider IJC, Schwebel DC, Schwendicke F, Seedat S, Sekerija M, Sepanlou SG, Serván-Mori E, Shabaninejad H, Shackelford KA, Shafieesabet A, Shaheen AA, Shaikh MA, Shakir RA, Shams-Beyranvand M, Shamsi M, Shamsizadeh M, Sharafi H, Sharafi K, Sharif M, Sharif-Alhoseini M, Sharma J, Sharma R, She J, Sheikh A, Shi P, Shibuya K, Shigematsu M, Shiri R, Shirkoohi R, Shiue I, Shokraneh F, Shukla SR, Si S, Siabani S, Sibai AM, Siddiqi TJ, Sigfusdottir ID, Sigurvinsdottir R, Silpakit N, Silva DAS, Silva JP, Silveira DGA, Singam NSV, Singh JA, Singh NP, Singh V, Sinha DN, Sliwa K, Soares Filho AM, Sobaih BH, Sobhani S, Soofi M, Soriano JB, Soyiri IN, Sreeramareddy CT, Starodubov VI, Steiner C, Stewart LG, Stokes MA, Strong M, Subart ML, Sufiyan MB, Sulo G, Sunguya BF, Sur PJ, Sutradhar I, Sykes BL, Sylaja PN, Sylte DO, Szoeke CEI, Tabarés-Seisdedos R, Tabb KM, Tadakamadla SK, Tandon N, Tassew AA, Tassew SG, Taveira N, Tawye NY, Tehrani-Banihashemi A, Tekalign TG, Tekle MG, Temsah MH, Terkawi AS, Teshale MY, Tessema B, Teweldemedhin M, Thakur JS, Thankappan KR, Thirunavukkarasu S, Thomas N, Thomson AJ, Tilahun B, To QG, Tonelli M, Topor-Madry R, Torre AE, Tortajada-Girbés M, Tovani-Palone MR, Toyoshima H, Tran BX, Tran KB, Tripathy SP, Truelsen TC, Truong NT, Tsadik AG, Tsegay A, Tsilimparis N, Tudor Car L, Ukwaja KN, Ullah I, Usman MS, Uthman OA, Uzun SB, Vaduganathan M, Vaezi A, Vaidya G, Valdez PR, Varavikova E, Varughese S, Vasankari TJ, Vasconcelos AMN, Venketasubramanian N, Villafaina S, Violante FS, Vladimirov SK, Vlassov V, Vollset SE, Vos T, Vosoughi K, Vujcic IS, Wagnew FS, Waheed Y, Walson JL, Wang Y, Wang YP, Weiderpass E, Weintraub RG, Weldegwergs KG, Werdecker A, Westerman R, Whiteford H, Widecka J, Widecka K, Wijeratne T, Winkler AS, Wiysonge CS, Wolfe CDA, Wu S, Wyper GMA, Xu G, Yamada T, Yano Y, Yaseri M, Yasin YJ, Ye P, Yentür GK, Yeshaneh A, Yimer EM, Yip P, Yisma E, Yonemoto N, Yoon SJ, Yotebieng M, Younis MZ, Yousefifard M, Yu C, Zadnik V, Zaidi Z, Zaman SB, Zamani M, Zare Z, Zeleke MM, Zenebe ZM, Zerfu TA, Zhang X, Zhao XJ, Zhou M, Zhu J, Zimsen SRM, Zodpey S, Zoeckler L, Lopez AD, Lim SS. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392:1995-2051. [PMID: 30496106 PMCID: PMC6227915 DOI: 10.1016/s0140-6736(18)32278-5] [Citation(s) in RCA: 243] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 09/07/2018] [Accepted: 09/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. METHODS We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. FINDINGS From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4-52·0). The TFR decreased from 4·7 livebirths (4·5-4·9) to 2·4 livebirths (2·2-2·5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3-200·8) since 1950, from 2·6 billion (2·5-2·6) to 7·6 billion (7·4-7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9-1·2) in Cyprus to a high of 7·1 livebirths (6·8-7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07-0·09) in South Korea to 2·4 livebirths (2·2-2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3-0·4) in Puerto Rico to a high of 3·1 livebirths (3·0-3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. INTERPRETATION Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. FUNDING Bill & Melinda Gates Foundation.
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Luo J, Luo Y, Zeng H, Reis C, Chen S. Research Advances of Germinal Matrix Hemorrhage: An Update Review. Cell Mol Neurobiol 2018; 39:1-10. [PMID: 30361892 DOI: 10.1007/s10571-018-0630-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 10/19/2018] [Indexed: 02/02/2023]
Abstract
Germinal matrix hemorrhage (GMH) refers to bleeding that derives from the subependymal (or periventricular) germinal region of the premature brain. GMH can induce severe and irreversible damage attributing to the vulnerable structure of germinal matrix and deleterious circumstances. Molecular mechanisms remain obscure so far. In this review, we summarized the newest preclinical discoveries recent years about GMH to distill a deeper understanding of the neuropathology, and then discuss the potential diagnostic or therapeutic targets among these pathways. GMH studies mostly in recent 5 years were sorted out and the authors generalized the newest discoveries and ideas into four parts of this essay. Intrinsic fragile structure of preterm germinal matrix is the fundamental cause leading to GMH. Many molecules have been found effective in the pathophysiological courses. Some of these molecules like minocycline are suggested active to reduce the damage in animal GMH model. However, researchers are still trying to find efficient diagnostic methods and remedies that are available in preterm infants to rehabilitate or cure the sequent injury. Merits have been obtained in the last several years on molecular pathways of GMH, but more work is required to further unravel the whole pathophysiology.
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Abstract
Cerebral small vessel disease (CSVD) is composed of several diseases affecting the small arteries, arterioles, venules, and capillaries of the brain, and refers to several pathological processes and etiologies. Neuroimaging features of CSVD include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. The main clinical manifestations of CSVD include stroke, cognitive decline, dementia, psychiatric disorders, abnormal gait, and urinary incontinence. Currently, there are no specific preventive or therapeutic measures to improve this condition. In this review, we will discuss the pathophysiology, clinical aspects, neuroimaging, progress of research to treat and prevent CSVD and current treatment of this disease.
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Zhang T, Wu P, Zhang JH, Li Y, Xu S, Wang C, Wang L, Zhang G, Dai J, Zhu S, Liu Y, Liu B, Reis C, Shi H. Docosahexaenoic Acid Alleviates Oxidative Stress-Based Apoptosis Via Improving Mitochondrial Dynamics in Early Brain Injury After Subarachnoid Hemorrhage. Cell Mol Neurobiol 2018; 38:1413-1423. [DOI: 10.1007/s10571-018-0608-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 08/01/2018] [Indexed: 01/04/2023]
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