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1. Acute myeloid leukemia presenting as unilateral central retinal vein occlusion

Author

Kumar, Ashok, Shankar, Sandeep, Kochhar, Divya, Arora, Amit, and Kumar, Kapil

Subjects
Ophthalmology, RE1-994
Abstract

Ocular manifestations of leukemia are often bilateral and involve all ocular structures with non-specific features like retinal hemorrhages, cotton wool spots and choroidal infiltrates. We report a rare, atypical initial presentation of acute myeloid leukemia with unilateral central retinal vein occlusion in a middle-aged male. This case will raise awareness among ophthalmologists to recognize and diagnose underlying systemic disease early and decrease systemic morbidity in consultation with a hematologist.

Published
2022
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4. Health-related quality of life outcomes after neoadjuvant chemoradiotherapy for rectal cancer in NRG Oncology/NSABP R-04.

Author

Ganz, Patricia A, Hays, Ron D, Spritzer, Karen L, Rogatko, André, Ko, Clifford Y, Colangelo, Linda H, Arora, Amit, Hopkins, Judith O, Evans, Terry L, and Yothers, Greg

Subjects
Humans, Rectal Neoplasms, Neoadjuvant Therapy, Quality of Life, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Young Adult, Chemoradiotherapy, Surveys and Questionnaires, clinical trial, health-related quality of life, long-term survivors, neoadjuvant chemoradiotherapy, neurotoxicity, rectal cancer, Prevention, Cancer, Clinical Research, Digestive Diseases, Aging, Good Health and Well Being, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis
Abstract

BackgroundThere has been limited evaluation of health-related quality of life (HRQOL) in rectal cancer patients receiving neoadjuvant chemoradiotherapy. HRQOL outcomes in the National Surgical Adjuvant Breast and Bowel Project R-04 trial are examined in this article.MethodsBetween 2004 and 2010, R-04 patients were invited to enroll in the HRQOL substudy, with questionnaires administered before randomization, after completion of chemoradiotherapy, and 1-year after surgery. HRQOL measures included: Functional Assessment of Cancer Therapy for colorectal cancer (FACT-C); Short Form-36v.2 Vitality scale; a treatment-specific symptom scale; and the FACT neurotoxicity scale. A 5-year postsurgery assessment was added to the protocol in 2012. Mixed-effects models examined neoadjuvant therapy treatment effects in the 1-year sample and models that explored associations of host factors and treatment impact on 5-year HRQOL.ResultsA total of 1373 patients completed baseline HRQOL and at least one additional assessment. The average age was 58 years (range, 23-85 years), male (68%), and 59% Stage II. There were no statistically significant differences in HRQOL outcomes by treatment arm, but HRQOL worsened from baseline to postneoadjuvant chemoradiotherapy, with statistically significant effect sizes changes ranging from 0.6 (Vitality) to 0.9 (FACT-C Trial Outcome Index). Neurotoxicity was greater in the oxaliplatin-treated groups. Obese/overweight patients had statistically significantly worse FACT-C Trial Outcome Index scores than did underweight/normal weight groups. At 5 years, younger patients and those with normal baseline weight had statistically significantly better physical function scores and older patients had better mental health outcomes.ConclusionsHRQOL did not differ across the four R-04 treatment arms; however, host factors explained significant variation in posttreatment HRQOL.Clinicaltrialsgov: NCT00058474 (https://ClinicalTrials.gov/ct2/show/NCT00058474).Lay summaryThis article reports on the health-related quality of life (HRQOL) outcomes of patients treated with four different chemotherapy regimens combined with radiation in rectal cancer patients before definitive surgical treatment. There were no significant differences in HRQOL by treatment regimen, but all patients experienced decreased vitality (energy) and physical functioning. By 1 year after treatment, most patients had returned to pretreatment vitality and physical functioning, with the exception of increased neurotoxicity. In a subsample of patients assessed at 5 years after surgery, physical function was better in those who at pretreatment were younger, normal weight, and had better performance status. Mental function was better in those who at pretreatment were older and had better performance status.

Published
2022

14. Genetic Admixture and Survival in Diverse Populations with Pulmonary Arterial Hypertension

Author

Karnes, Jason H, Wiener, Howard W, Schwantes-An, Tae-Hwi, Natarajan, Balaji, Sweatt, Andrew J, Chaturvedi, Abhishek, Arora, Amit, Batai, Ken, Nair, Vineet, Steiner, Heidi E, Giles, Jason B, Yu, Jeffrey, Hosseini, Maryam, Pauciulo, Michael W, Lutz, Katie A, Coleman, Anna W, Feldman, Jeremy, Vanderpool, Rebecca, Tang, Haiyang, Garcia, Joe GN, Yuan, Jason X-J, Kittles, Rick, de Jesus Perez, Vinicio, Zamanian, Roham T, Rischard, Franz, Tiwari, Hemant K, Nichols, William C, Benza, Raymond L, and Desai, Ankit A

Subjects
Lung, Good Health and Well Being, Adult, Black or African American, Aged, Female, Hispanic or Latino, Humans, Male, Middle Aged, Pulmonary Arterial Hypertension, Survival Rate, United States, White People, pulmonary arterial hypertension, Hispanic American, Native American, survival, health disparities, Medical and Health Sciences, Respiratory System
Abstract

Rationale: Limited information is available on racial/ethnic differences in pulmonary arterial hypertension (PAH).Objectives: Determine effects of race/ethnicity and ancestry on mortality and disease outcomes in diverse patients with PAH.Methods: Patients with Group 1 PAH were included from two national registries with genome-wide data and two local cohorts, and further incorporated in a global meta-analysis. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for transplant-free, all-cause mortality in Hispanic patients with non-Hispanic white (NHW) patients as the reference group. Odds ratios (ORs) for inpatient-specific mortality in patients with PAH were also calculated for race/ethnic groups from an additional National Inpatient Sample dataset not included in the meta-analysis.Measurements and Main Results: After covariate adjustment, self-reported Hispanic patients (n = 290) exhibited significantly reduced mortality versus NHW patients (n = 1,970) after global meta-analysis (HR, 0.60 [95% CI, 0.41-0.87]; P = 0.008). Although not significant, increasing Native American genetic ancestry appeared to account for part of the observed mortality benefit (HR, 0.48 [95% CI, 0.23-1.01]; P = 0.053) in the two national registries. Finally, in the National Inpatient Sample, an inpatient mortality benefit was also observed for Hispanic patients (n = 1,524) versus NHW patients (n = 8,829; OR, 0.65 [95% CI, 0.50-0.84]; P = 0.001). An inpatient mortality benefit was observed for Native American patients (n = 185; OR, 0.38 [95% CI, 0.15-0.93]; P = 0.034).Conclusions: This study demonstrates a reproducible survival benefit for Hispanic patients with Group 1 PAH in multiple clinical settings. Our results implicate contributions of genetic ancestry to differential survival in PAH.

Published
2020

15. Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Author

Burstein, Roy, Henry, Nathaniel J, Collison, Michael L, Marczak, Laurie B, Sligar, Amber, Watson, Stefanie, Marquez, Neal, Abbasalizad-Farhangi, Mahdieh, Abbasi, Masoumeh, Abd-Allah, Foad, Abdoli, Amir, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abrigo, Michael RM, Acharya, Dilaram, Adebayo, Oladimeji M, Adekanmbi, Victor, Adham, Davoud, Afshari, Mahdi, Aghaali, Mohammad, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmadpour, Ehsan, Ahmed, Rushdia, Akal, Chalachew Genet, Akinyemi, Joshua O, Alahdab, Fares, Alam, Noore, Alamene, Genet Melak, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Aljunid, Syed Mohamed, Almalki, Mohammed J, Al-Mekhlafi, Hesham M, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amegah, Adeladza Kofi, Amini, Saeed, Amit, Arianna Maever Loreche, Anbari, Zohreh, Androudi, Sofia, Anjomshoa, Mina, Ansari, Fereshteh, Antonio, Carl Abelardo T, Arabloo, Jalal, Arefi, Zohreh, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Artaman, Al, Asadi, Anvar, Asadi-Aliabadi, Mehran, Ashraf-Ganjouei, Amir, Assadi, Reza, Ataeinia, Bahar, Atre, Sachin R, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Azari, Samad, Babaee, Ebrahim, Babazadeh, Arefeh, Badawi, Alaa, Bagheri, Soghra, Bagherzadeh, Mojtaba, Baheiraei, Nafiseh, Balouchi, Abbas, Barac, Aleksandra, Bassat, Quique, Baune, Bernhard T, Bayati, Mohsen, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Belay, Yared Belete, Bell, Brent, Bell, Michelle L, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhattacharjee, Natalia V, Bhattarai, Suraj, Bhutta, Zulfiqar A, Bijani, Ali, Bohlouli, Somayeh, Breitborde, Nicholas JK, Britton, Gabrielle, Browne, Annie J, Nagaraja, Sharath Burugina, Busse, Reinhard, Butt, Zahid A, Car, Josip, Cárdenas, Rosario, Castañeda-Orjuela, Carlos A, Cerin, Ester, Chanie, Wagaye Fentahun, Chatterjee, Pranab, and Chu, Dinh-Toi

Subjects
Pediatric, Pediatric Research Initiative, Prevention, Infant Mortality, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Reduced Inequalities, Child, Child Mortality, Geography, Global Health, Humans, Infant, Infant, Newborn, Organizational Objectives, Public Health, Socioeconomic Factors, United Nations, General Science & Technology
Abstract

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.

Published
2019

24. Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis

Author

Rhodes, Christopher J, Batai, Ken, Bleda, Marta, Haimel, Matthias, Southgate, Laura, Germain, Marine, Pauciulo, Michael W, Hadinnapola, Charaka, Aman, Jurjan, Girerd, Barbara, Arora, Amit, Knight, Jo, Hanscombe, Ken B, Karnes, Jason H, Kaakinen, Marika, Gall, Henning, Ulrich, Anna, Harbaum, Lars, Cebola, Inês, Ferrer, Jorge, Lutz, Katie, Swietlik, Emilia M, Ahmad, Ferhaan, Amouyel, Philippe, Archer, Stephen L, Argula, Rahul, Austin, Eric D, Badesch, David, Bakshi, Sahil, Barnett, Christopher, Benza, Raymond, Bhatt, Nitin, Bogaard, Harm J, Burger, Charles D, Chakinala, Murali, Church, Colin, Coghlan, John G, Condliffe, Robin, Corris, Paul A, Danesino, Cesare, Debette, Stéphanie, Elliott, C Gregory, Elwing, Jean, Eyries, Melanie, Fortin, Terry, Franke, Andre, Frantz, Robert P, Frost, Adaani, Garcia, Joe GN, Ghio, Stefano, Ghofrani, Hossein-Ardeschir, Gibbs, J Simon R, Harley, John, He, Hua, Hill, Nicholas S, Hirsch, Russel, Houweling, Arjan C, Howard, Luke S, Ivy, Dunbar, Kiely, David G, Klinger, James, Kovacs, Gabor, Lahm, Tim, Laudes, Matthias, Machado, Rajiv D, Ross, Robert V MacKenzie, Marsolo, Keith, Martin, Lisa J, Moledina, Shahin, Montani, David, Nathan, Steven D, Newnham, Michael, Olschewski, Andrea, Olschewski, Horst, Oudiz, Ronald J, Ouwehand, Willem H, Peacock, Andrew J, Pepke-Zaba, Joanna, Rehman, Zia, Robbins, Ivan, Roden, Dan M, Rosenzweig, Erika B, Saydain, Ghulam, Scelsi, Laura, Schilz, Robert, Seeger, Werner, Shaffer, Christian M, Simms, Robert W, Simon, Marc, Sitbon, Olivier, Suntharalingam, Jay, Tang, Haiyang, Tchourbanov, Alexander Y, Thenappan, Thenappan, Torres, Fernando, Toshner, Mark R, Treacy, Carmen M, Noordegraaf, Anton Vonk, Waisfisz, Quinten, and Walsworth, Anna K

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Genetics, Human Genome, Lung, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Female, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotyping Techniques, HLA-DP alpha-Chains, HLA-DP beta-Chains, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Pulmonary Arterial Hypertension, Risk Assessment, SOXF Transcription Factors, Signal Transduction, Survival Analysis, UK NIHR BioResource Rare Diseases Consortium, UK PAH Cohort Study Consortium, US PAH Biobank Consortium, Public Health and Health Services, Other Medical and Health Sciences, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundRare genetic variants cause pulmonary arterial hypertension, but the contribution of common genetic variation to disease risk and natural history is poorly characterised. We tested for genome-wide association for pulmonary arterial hypertension in large international cohorts and assessed the contribution of associated regions to outcomes.MethodsWe did two separate genome-wide association studies (GWAS) and a meta-analysis of pulmonary arterial hypertension. These GWAS used data from four international case-control studies across 11 744 individuals with European ancestry (including 2085 patients). One GWAS used genotypes from 5895 whole-genome sequences and the other GWAS used genotyping array data from an additional 5849 individuals. Cross-validation of loci reaching genome-wide significance was sought by meta-analysis. Conditional analysis corrected for the most significant variants at each locus was used to resolve signals for multiple associations. We functionally annotated associated variants and tested associations with duration of survival. All-cause mortality was the primary endpoint in survival analyses.FindingsA locus near SOX17 (rs10103692, odds ratio 1·80 [95% CI 1·55-2·08], p=5·13 × 10-15) and a second locus in HLA-DPA1 and HLA-DPB1 (collectively referred to as HLA-DPA1/DPB1 here; rs2856830, 1·56 [1·42-1·71], p=7·65 × 10-20) within the class II MHC region were associated with pulmonary arterial hypertension. The SOX17 locus had two independent signals associated with pulmonary arterial hypertension (rs13266183, 1·36 [1·25-1·48], p=1·69 × 10-12; and rs10103692). Functional and epigenomic data indicate that the risk variants near SOX17 alter gene regulation via an enhancer active in endothelial cells. Pulmonary arterial hypertension risk variants determined haplotype-specific enhancer activity, and CRISPR-mediated inhibition of the enhancer reduced SOX17 expression. The HLA-DPA1/DPB1 rs2856830 genotype was strongly associated with survival. Median survival from diagnosis in patients with pulmonary arterial hypertension with the C/C homozygous genotype was double (13·50 years [95% CI 12·07 to >13·50]) that of those with the T/T genotype (6·97 years [6·02-8·05]), despite similar baseline disease severity.InterpretationThis is the first study to report that common genetic variation at loci in an enhancer near SOX17 and in HLA-DPA1/DPB1 is associated with pulmonary arterial hypertension. Impairment of SOX17 function might be more common in pulmonary arterial hypertension than suggested by rare mutations in SOX17. Further studies are needed to confirm the association between HLA typing or rs2856830 genotyping and survival, and to determine whether HLA typing or rs2856830 genotyping improves risk stratification in clinical practice or trials.FundingUK NIHR, BHF, UK MRC, Dinosaur Trust, NIH/NHLBI, ERS, EMBO, Wellcome Trust, EU, AHA, ACClinPharm, Netherlands CVRI, Dutch Heart Foundation, Dutch Federation of UMC, Netherlands OHRD and RNAS, German DFG, German BMBF, APH Paris, INSERM, Université Paris-Sud, and French ANR.

Published
2019

25. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Collaborators, GBD 2017 Causes of Death, Roth, Gregory A, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, and Badawi, Alaa

Subjects
Brain Disorders, Pediatric, Prevention, Aetiology, 2.4 Surveillance and distribution, Infection, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Cause of Death, Child, Child, Preschool, Female, Global Burden of Disease, Global Health, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Sex Distribution, Socioeconomic Factors, Young Adult, GBD 2017 Causes of Death Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundGlobal development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.MethodsThe causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised.FindingsAt the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.InterpretationImprovements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.FundingBill & Melinda Gates Foundation.

Published
2018

26. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

James, Spencer L, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed ML, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, and Bali, Ayele Geleto

Subjects
Prevention, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Female, Global Burden of Disease, Global Health, Humans, Incidence, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Morbidity, Prevalence, Sex Distribution, Socioeconomic Factors, Wounds and Injuries, Young Adult, GBD 2017 Disease and Injury Incidence and Prevalence Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.MethodsWe estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting.FindingsGlobally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs s1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]).InterpretationGlobal all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.FundingBill & Melinda Gates Foundation.

Published
2018

27. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Kyu, Hmwe Hmwe, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abil, Olifan Zewdie, Aboyans, Victor, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Anurag, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Aminde, Leopold N, Amini, Erfan, Amiresmaili, Mohammadreza, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, and Balakrishnan, Kalpana

Subjects
Prevention, Aging, Good Health and Well Being, Aged, Communicable Diseases, Disabled Persons, Female, Global Burden of Disease, Health Status, Healthy Lifestyle, Humans, Life Expectancy, Male, Mortality, Mortality, Premature, Prevalence, Quality-Adjusted Life Years, Risk Factors, Socioeconomic Factors, Wounds and Injuries, GBD 2017 DALYs and HALE Collaborators, Medical and Health Sciences, General & Internal Medicine
Abstract

BackgroundHow long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life-years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years.MethodsWe used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Socio-demographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males.FindingsGlobally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9-6·7), from 57·0 years (54·6-59·1) in 1990 to 63·3 years (60·5-65·7) in 2017. The increase varied from 3·8 years (3·4-4·1) in high SDI countries to 10·5 years (9·8-11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4-1·7) in Saint Vincent and the Grenadines (62·4 years [59·9-64·7] in 1990 to 63·5 years [60·9-65·8] in 2017) to 23·7 years (21·9-25·6) in Eritrea (30·7 years [28·9-32·2] in 1990 to 54·4 years [51·5-57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6-2·3) in Algeria to 11·9 years (10·9-12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4-78·7]) and males (72·6 years [69·8-75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7-50·2] for females and 42·8 years [40·1-45·6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8-43·5) for communicable diseases and by 49·8% (47·9-51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8-43·0), although age-standardised DALY rates decreased by 18·1% (16·0-20·2).InterpretationWith increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health.FundingBill & Melinda Gates Foundation.

Published
2018

34. Urban-rural disparities and change in postnatal care use from 2016 to 2019 in Ethiopia: Multivariate decomposition analysis.

Author

Asresie, Melash Belachew and Arora, Amit

Abstract

Background: Postnatal care (PNC) is essential for early identification and management of life-threatening obstetric complications. Despite efforts by the Ethiopian government to improve maternal and child health service use, PNC service has remained low, and disparity across geographic locations is a major public health problem. This study aimed to investigate the change and contributing factors in PNC service use across geographical locations (rural-urban) and over time (2016 to 2019) in Ethiopia. Methods: We analyzed data on women who gave birth from the 2016 and 2019 Ethiopian Demographic and Health Surveys. A total of 6,413 weighted samples (4,308 in 2016 and 2,105 in 2019) were included in the analysis. A multivariate decomposition analysis technique was used to determine the change and identify factors that contributed to the change across geographical locations and over time. Statistical significance was defined at a 95% confidence interval with a p-value of less than 0.05. Results: The prevalence of PNC use was higher among urban residents, and the urban-rural disparity reduced from 32.59% in 2016 to 19.08% in 2019. The difference in the composition of explanatory variables was the only statistically significant for the urban-rural disparity in PNC use in both surveys. Specifically, female household heads (4.51%), delivery at a health facility (83.45%), and birth order of two to three (5.53%) and four or more (-12.24%) in 2016 significantly contributed to the urban-rural gap. However, in 2019, middle wealth index (-14.66%), Muslim religion (3.84%), four or more antennal care contacts (18.29%), and delivery at a health facility (80.66%) significantly contributed to the urban-rural gap. PNC use increased from 16.61% in 2016 to 33.86% in 2019. About 60% of the explained change was due to the difference in the composition of explanatory variables. Particularly, urban residence (-5.79%), a rich wealth index (2.31%), Muslim (3.42%), and other (-2.76%) religions, having radio or television (1.49%), 1–3 (-1.13%), and 4 or more (11.09%) antenatal care contacts, and delivery at a health facility (47.98%) were statistically significant contributors to the observed change. The remaining 40% of the overall change was due to the difference in unknown behaviors (coefficient) of the population towards PNC. Conclusions: There was a significant change in PNC service use by residence location and over time in Ethiopia, with urban women in both surveys being more likely to use PNC service. The urban-rural disparity in PNC uptake was due to the difference in the composition of explanatory variables, whereas the change over time was due to the change in both the composition of explanatory variables and population behavior towards PNC. Increased antenatal care contacts and delivery at a health facility played a major role in explaining the gap in PNC services across residences and over time in Ethiopia, highlighting the importance of stepping up efforts to enhance their uptake in rural settings. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Investigation of methane gas bubble dynamics and hydrate film growth during hydrate formation using 4-D time-lapse synchrotron X-ray computed tomography.

Author

Khan, Shadman H., Sahoo, Sourav Kumar, Falcon-Suarez, Ismael Himar, Marin-Moreno, Hector, Sutiyoso, Hanif, Madhusudhan, B. N., Majumder, C. B., Arora, Amit, Best, Angus I., Dong, Huaimin, Taghavinejad, Amin, and Amabogha, Azibayam

Subjects
COMPUTED tomography, GAS dynamics, BUBBLE dynamics, MOLECULAR beam epitaxy, METHANE, SYNCHROTRONS, MASS transfer
Abstract

We present a time-lapse 4-D high-resolution synchrotron imaging study of the morphological evolution of methane gas bubbles and hydrate film growth on these bubbles. Methane gas and partially water-saturated sand were used to form hydrate with a maximum hydrate saturation of 60%. We investigated the transient evolution of gas bubble size distribution during hydrate formation and observed three distinct stages: a) nucleation and hydrate film formation, b) rapid bubble break-up, c) gas bubble coalescence and hydrate framework formation. Our results show that the average gas bubble size distribution decreases from 34.17 μιτι (during hydrate nucleation) to 8.87 μιτι (during secondary bubble formation). The small-size methane bubble population (mean diameter below 10 μm) initially increases at the expense of the larger methane bubble population (mean diameter above 50 μη) due to breakage of the larger bubbles and coalescence of the smaller bubbles. We quantified that the average hydrate film thickness increases from 3.51 to 14.7 μ!! by tracking the evolution of a particular gas bubble. This thickness increase agrees with an analytical model with an average deviation error of 3.3%. This study provides insights into gas bubble distribution and hydrate film growth during hydrate formation, both of which impact the geophysical and mechanical properties of hydrate-bearing sediments. [ABSTRACT FROM AUTHOR]

Published
2024
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36. Community-based health insurance beneficiaries' satisfaction on laboratory services and associated factors in selected public hospitals in Jimma Zone, Oromia Region, Southwest, Ethiopia.

Author

Getachew, Nigusu, Girma, Mujahid, Sahilemariam, Zewudineh, Kabeta, Temesgen, and Arora, Amit

Subjects
PUBLIC hospitals, PATIENT satisfaction, MEDICAL laboratories, SATISFACTION, LOGISTIC regression analysis, HOSPITAL laboratories
Abstract

Background: The community-based health insurance (CBHI) scheme is a growing initiative aimed at enhancing healthcare access for the most impoverished members of the community. The Ethiopian CBHI scheme aims to enhance access to essential healthcare services, including medical laboratory services, for the poorest members of the community, but there is limited evidence on satisfaction levels. The aim of this study was to assess the satisfaction level of CBHI beneficiaries with laboratory services and their associated factors among selected public hospitals in Jimma Zone, Oromia Region, Ethiopia. Methods: A facility-based cross-sectional study was conducted on selected public hospitals in the Jimma Zone from September to October 2023. A total of 421 CBHI beneficiaries were enrolled in the study using a convenient sampling technique, and interviewers administered structured questionnaires to collect data. Data were entered into Epi-data and analyzed using the Statistical Package of Social Sciences version 25. Descriptive analysis was used to summarize independent variables; bivariate and multivariable logistic regression analyses were done to test the association between independent and dependent variables; and statistical significance was declared at P<0.05. Results: More than half (55.8%) of the 419 study participants were female. Above half, 57.5% of the respondents were satisfied by the clinical laboratory services at public hospitals in Jimma Zone. Components with a higher satisfaction rate were providers' professional appearances (98.3%), procedures for specimen collection (87.6%), and availability of entertainment facilities at the waiting area (67.8%). On the contrary, longer waiting times to receive the test results (76.6%), inefficiency of the reception area (74.7%), and the inability of professionals to explain diagnostic procedures (58.0%) were associated with higher rates of dissatisfaction. Educational status and the number of hospital visits were found to have a statistically significant association with level of satisfaction with laboratory services. Conclusions: CBHI beneficiaries' satisfaction with laboratory service was at a moderate level in Jimma Zone public hospitals. Therefore, attention should be given to continuous monitoring of patients' satisfaction with services, improving reception areas, and practicing routine explanations about the purposes and procedures during specimen collection to improve the beneficiaries' satisfaction level with clinical laboratory services. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Trajectories of Sugar-Sweetened Beverage Intake in Early Life: Evidence from a Birth Cohort Study.

Author

Arora, Amit, Rahaman, Kh. Shafiur, Parmar, Jinal Shashin, Gupta, Adyya, Evans, Nicole, Chandio, Navira, Selvaratnam, Navodya, and Manohar, Narendar

Abstract

Infancy and early childhood are periods of dietary transition. Early exposure to specific foods and the establishment of dietary habits during this period can shape long-term food preferences and have lasting effects on health. This study aimed to examine the longitudinal trajectories of sugar-sweetened beverage (SSB) intake in Australian children from birth to age 3 years and identify early-life and socioeconomic factors influencing those trajectories. Mother–infant dyads (n = 934) from the Healthy Smiles Healthy Kids birth cohort study were interviewed on their weekly frequency of SSB intake at 4-month, 8-month, 1-year, 2-year, and 3-year age points. Group-based trajectory modelling analysis was performed to identify trajectories for SSB intake among Australian children. A multivariable logistic regression was performed to identify the maternal and child-related predictors of resulting trajectories. The intake of SSBs showed two distinct quadratic trajectories (high and low) with age. While the two trajectories remained distinctive throughout, the SSB consumption for both groups consistently increased between 4 months and 2 years of age and subsequently stabilised. Compared to low SSB consumers (75%), the high SSB consumers (25%) were significantly more likely to be living in households with three or more children (relative risk (RR): 1.59, 95%CI: 1.02–2.48), had low maternal education (left school < year 12—RR: 1.75, 95%CI: 1.09–2.81; completed year 12—RR: 1.57, 95%CI: 1.02–2.81), and resided in highly/the most socioeconomically disadvantaged areas (highly disadvantaged—RR: 1.89, 95%CI: 1.13–3.18; most disadvantaged—RR: 2.06, 95%CI: 1.25–3.38). Children's SSB intake patterns are established early in life as they transition from infancy to preschool age, and the trajectories of intake established during early childhood are strongly influenced by socioeconomic factors. Hence, interventions targeted to limit SSB intake and improve nutrition amongst children should occur in early life. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Friction Stir Channeling in Heat Sink Applications: Innovative Manufacturing Approaches and Performance Evaluation.

Author

Patel, Sooraj and Arora, Amit

Subjects
HEAT sinks, HEAT exchangers, STRAINS & stresses (Mechanics), THERMAL efficiency, HEAT transfer
Abstract

The fabrication of compact heat exchangers with precisely designed micro- and mini-channels is crucial for enhancing the efficiency of thermal management systems. Friction stir channeling (FSC) emerges as a cost-effective advanced manufacturing process to create complex integral channels, offering channel shape and size flexibility. This review article highlights the pivotal role of processing parameters in channel formation and maintaining their integrity, necessitating a comprehensive understanding of material flow dynamics. A rigorous assessment has been conducted on the channel under mechanical stresses, including tension, bending, and fatigue. The paper emphasizes the potential of FSC to revolutionize heat sink applications by exploring the fundamental concepts, governing parameters, ongoing enhancements in tool design, microstructural and mechanical properties, and heat transfer performance. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17

Author

Deshpande, Aniruddha, Miller-Petrie, Molly K, Lindstedt, Paulina A, Baumann, Mathew M, Johnson, Kimberly B, Blacker, Brigette F, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R.M., Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhikari, Tara Ballav, Afarideh, Mohsen, Agudelo-Botero, Marcela, Ahmadi, Mehdi, Ahmadi, Keivan, Ahmed, Muktar Beshir, Ahmed, Anwar E, Akalu, Temesgen Yihunie, Akanda, Ali S, Alahdab, Fares, Al-Aly, Ziyad, Alam, Samiah, Alam, Noore, Alamene, Genet Melak, Alanzi, Turki M, Albright, James, Albujeer, Ammar, Alcalde-Rabanal, Jacqueline Elizabeth, Alebel, Animut, Alemu, Zewdie Aderaw, Ali, Muhammad, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J., Amini, Saeed, Amit, Arianna Maever L., Amul, Gianna Gayle Herrera, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansariadi, Ansariadi, Antonio, Carl Abelardo T., Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asmelash, Daniel, Atalay, Hagos Tasew, Athari, Seyyede Masoume, Athari, Seyyed Shamsadin, Atre, Sachin R, Ausloos, Marcel, Awasthi, Shally, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azman, Andrew S, Babaee, Ebrahim, Badawi, Alaa, Bagherzadeh, Mojtaba, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barboza, Miguel A, Bärnighausen, Till Winfried, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Bedi, Neeraj, Beheshti, Mahya, Behzadifar, Meysam, Behzadifar, Masoud, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bennett, Derrick A., Benzian, Habib, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhat, Anusha Ganapati, Bhattacharyya, Krittika, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Bin Sayeed, Muhammad Shahdaat, Biswas, Raaj Kishore, Bohlouli, Somayeh, Boufous, Soufiane, Brady, Oliver J, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B, Brown, Alexandria, Burugina Nagaraja, Sharath, Butt, Zahid A, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carvalho, Felix, Castañeda-Orjuela, Carlos A, Castro, Franz, Cerin, Ester, Chalise, Binaya, Chattu, Vijay Kumar, Chin, Ken Lee, Christopher, Devasahayam J, Chu, Dinh-Toi, Cormier, Natalie Maria, Costa, Vera Marisa, Cromwell, Elizabeth A, Dadi, Abel Fekadu Fekadu, Dahiru, Tukur, Dahlawi, Saad M A, Dandona, Rakhi, Dandona, Lalit, Dang, Anh Kim, Daoud, Farah, Darwesh, Aso Mohammad, Darwish, Amira Hamed, Daryani, Ahmad, Das, Jai K, Das Gupta, Rajat, Dash, Aditya Prasad, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, De la Hoz, Fernando Pio, De Neve, Jan-Walter, Demissie, Dereje Bayissa, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Desalew, Assefa, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Diaz, Daniel, Dipeolu, Isaac Oluwafemi, Do, Hoa Thi, Dolecek, Christiane, Doyle, Kerrie E, Dubljanin, Eleonora, Duraes, Andre Rodrigues, Edinur, Hisham Atan, Effiong, Andem, Eftekhari, Aziz, El Nahas, Nevine, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elhabashy, Hala Rashad, El-Jaafary, Shaimaa I., El-Khatib, Ziad, Elkout, Hajer, Elsharkawy, Aisha, Enany, Shymaa, Endalew, Daniel Adane, Eshrati, Babak, Eskandarieh, Sharareh, Etemadi, Arash, Ezekannagha, Oluchi, Faraon, Emerito Jose A., Fareed, Mohammad, Faro, Andre, Farzadfar, Farshad, Fasil, Alebachew Fasil, Fazlzadeh, Mehdi, Feigin, Valery L., Fekadu, Wubalem, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A., Folayan, Morenike Oluwatoyin, Foroutan, Masoud, Franklin, Richard Charles, Frostad, Joseph Jon, Fukumoto, Takeshi, Gad, Mohamed M, Garcia, Gregory M, Gatotoh, Augustine Mwangi, Gayesa, Reta Tsegaye, Gebremedhin, Ketema Bizuwork, Geramo, Yilma Chisha Dea, Gesesew, Hailay Abrha, Gezae, Kebede Embaye, Ghashghaee, Ahmad, Ghazi Sherbaf, Farzaneh, Gill, Tiffany K, Gill, Paramjit Singh, Ginindza, Themba G, Girmay, Alem, Gizaw, Zemichael, Goodridge, Amador, Gopalani, Sameer Vali, Goulart, Bárbara Niegia Garcia, Goulart, Alessandra C, Grada, Ayman, Green, Manfred S, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Gupta, Rajeev, Gupta, Rahul, Ha, Giang Hai, Haagsma, Juanita A., Hafezi-Nejad, Nima, Haile, Dessalegn H, Haile, Michael Tamene, Hall, Brian J., Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Hariyani, Ninuk, Hasaballah, Ahmed I., Hasan, Md. 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2020
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47. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17

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Wiens, Kirsten E, Lindstedt, Paulina A, Blacker, Brigette F, Johnson, Kimberly B, Baumann, Mathew M, Schaeffer, Lauren E, Abbastabar, Hedayat, Sr, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Sr, Adekanmbi, Victor, Adetokunboh, Olatunji O, Sr, Adhena, Beyene Meressa, Afarideh, Mohsen, Ahmad, Sohail, Ahmadi, Keivan, Ahmed, Anwar E, Ahmed, Muktar Beshir, Ahmed, Rushdia, Akalu, Temesgen Yihunie, Alahdab, Fares, Al-Aly, Ziyad, Alam, Noore, Sr, Alam, Samiah, Alamene, Genet Melak, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Ali, Beriwan Abdulqadir, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Sr, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Sr, Amit, Arianna Maever L, Sr, Andrei, Catalina Liliana, Sr, Anjomshoa, Mina, Anoushiravani, Amir, Sr, Ansari, Fereshteh, Antonio, Carl Abelardo T, Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Sr, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Sr, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Atalay, Hagos Tasew, Athari, Seyyed Shamsadin, Sr, Athari, Seyyede Masoume, Atre, Sachin R, Ausloos, Marcel, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Sr, Aynalem IV, Yared Asmare, Azari, Samad, Azzopardi, Peter S, Babaee, Ebrahim, Babalola, Tesleem Kayode, Badawi, Alaa, Sr, Bairwa, Mohan, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Sr, Banoub, Joseph Adel Mattar, Sr, Barac, Aleksandra, Bärnighausen, Till Winfried, Basaleem, Huda, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Baye, Estifanos, Bedi, Neeraj, Beheshti, Mahya Mahya Beheshti, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belayneh, Yaschilal Muche, Bell, Michellr L, Sr, Bennett, Derrick A, Sr, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhat, Anusha Ganapati, Sr, Bhattacharyya, Krittika, Sr, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Birihane IV, Binyam Minuye, Biswas, Raaj Kishore, Bohlouli, Somayeh, Bojia I, Hunduma Amensisa Amensisa, Boufous, Soufiane, Brady, Oliver J, Bragazzi, Nicola Luigi, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B, Burugina Nagaraja, Sharath, Sr, Busse, Reinhard, Sr, Butt, Zahid A, Cámera, Luis LA Alberto, Sr, Campos-Nonato, Ismael R, Sr, Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carvalho, Felix, Sr, Castañeda-Orjuela, Carlos A, Sr, Castro, Franz, Chanie, Wagaye Fentahun, Sr, Chatterjee, Pranab, Chattu, Vijay Kumar, Chichiabellu, Tesfaye Yitna Yitna, Jr, Chin, Ken Lee, Sr, Christopher, Devasahayam J, Chu, Dinh-Toi, Cormier, Natalie Maria, 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Rashad, Sr, El-Jaafary, Shaimaa I, Elkout, Hajer, Elsharkawy, Aisha, Elyazar, Iqbal RF, Endalamaw, Aklilu, Endalew, Daniel Adane, Sr, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Sr, Etemadi, Arash, Ezekannagha, Oluchi, Fareed, Mohammad, Faridnia, Roghiyeh, Farzadfar, Farshad, Fazlzadeh, Mehdi, Feigin, Valery L, Sr, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Sr, Foroutan, Masoud, Franklin, Richard Charles, Fukumoto, Takeshi, Gad, Mohamed M, Gayesa, Reta Tsegaye, Gebre, Teshome, Sr, Gebremedhin, Ketema Bizuwork, Gebremeskel, Gebreamlak Gebremedhn, Sr, Gesesew, Hailay Abrha, Gezae, Kebede Embaye, Ghadiri, Keyghobad, Sr, Ghashghaee, Ahmad, Ghimire, Pramesh Raj, Sr, Gill, Paramjit Singh, Sr, Gill, Tiffany K, Ginindza, Themba G G, Gomes, Nelson G M, Gopalani, Sameer Vali, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Sr, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Sr, Gupta, Rajeev, Hafezi-Nejad, Nima, Haile, Dessalegn H, Sr, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Sr, Hariyani, Ninuk, Hasaballah, Ahmed I, Hasan, Md Mehedi, Hasanpoor, Edris, Hasanzadeh, Amir, Hassankhani, Hadi, Hassen, Hamid Yimam, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Hendrie, Delia, Sr, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hidru I, Hagos Degefa de, Hird, Thomas R, Hoang, Chi Linh, Homaie Rad, Enayatollah, Hoogar, Praveen, Hoseini, Mohammad, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Househ, Mowafa, Hsairi, Mohamed, Sr, Hu, Guoqing, Hussen, Mohammedaman Mama, Ibitoye, Segun Emmanuel, Igumbor, Ehimario U, Sr, Ilesanmi, Olayinka Stephen, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwu, Chinwe Juliana, Izadi, Neda, Sr, Jaca, Anelisa, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jayatilleke, Achala Upendra, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Sr, Jonas, Jost B, Jozwiak, Jacek Jerzy, Kabir, Ali, Kabir, Zubair, Sr, Kahsay, Amaha, Kalani, Hamed, Kanchan, Tanuj, Karami Matin, Behzad, Karch, André, Karim, Mohd Anisul, Karimi-Sari, Hamidreza, Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kasahun, Yawukal chane, Kasaye, Habtamu Kebebe, Kassa, Gebrehiwot G, Kassa, Getachew Mullu, Kayode, Gbenga A, Kazemi Karyani, Ali, Kebede, Mihiretu M, Keiyoro, Peter Njenga, Kelbore, Abraham Getachew, Sr, Kengne, Andre Pascal, Sr, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalilov, Rovshan, Khan, Ejaz Ahmad, Sr, Khan, Junaid, Khan I, Md Nuruzzaman, Khan, Muhammad Shahzeb, Khatab, Khaled, Sr, Khater, Amir M, Khater, Mona M, Khayamzadeh, Maryam, Khazaei, Mohammad, Khazaei, Salman, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Ali, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kissoon, Niranjan, Sr, KMShivakumar, Shivakumar KM Marulasiddaiah M, Sr, Kochhar, Sonali, Kolola, Tufa, Sr, Komaki, Hamidreza, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kraemer, Moritz U G, Krishan, Kewal, Kugbey, Nuworza, Kumar, G Anil, Kumar, Manasi, Sr, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lad, Sheetal D, Lal, Dharmesh Kumar, Lam, Felix, Lami, Faris Hasan, Sr, Lamichhane, Prabhat, Lansingh, Van Charles, Lasrado, Savita, Laxmaiah, Avula, Lee, Paul H, Sr, LeGrand, Kate E, Leili, Mostafa, Lenjebo, Tsegaye Lolaso, Leshargie, Cheru Tesema, Sr, Levine, Aubrey J, Li, Shanshan, Sr, Linn, Shai, Liu, Shiwei, Liu, Simin, Lodha, Rakesh, Longbottom, Joshua, Lopez, Jaifred Christian F, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahadeshwara Prasad, D R, Mahasha, Phetole Walter, Sr, Mahotra, Narayan B, 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Robert C, Jr

Published
2020
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48. Biocoal - Quality control and assurance

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Pawlak-Kruczek, Halina, Arora, Amit, Gupta, Ashish, Saeed, Muhammad Azam, Niedzwiecki, Lukasz, Andrews, Gordon, Phylaktou, Herodotos, Gibbs, Bernard, Newlaczyl, Anna, and Livesey, Penelope M.

Published
2020
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