Digital Commons Network^™

A Perspective On Implementation Outcomes And Strategies To Promote The Uptake Of Covid-19 Vaccines, Meagan Pilar, A Rani Elwy, Larissa Lushniak, Grace Huang, Gabriella M Mcloughlin, Cole Hooley, Nisha Nadesan-Reddy, Brittney Sandler, Mosa Moshabela, Olakunle Alonge, Elvin Geng, Enola Proctor

2020-Current year OA Pubs

Recent articles have highlighted the importance of incorporating implementation science concepts into pandemic-related research. However, limited research has been documented to date regarding implementation outcomes that may be unique to COVID-19 vaccinations and how to utilize implementation strategies to address vaccine program-related implementation challenges. To address these gaps, we formed a global COVID-19 implementation workgroup of implementation scientists who met weekly for over a year to review the available literature and learn about ongoing research during the pandemic. We developed a hierarchy to prioritize the applicability of "lessons learned" from the vaccination-related implementation literature. We identified applications of existing implementation …

Low Risk For Developing Diabetes Among The Offspring Of Individuals With Exceptional Longevity And Their Spouses, Iva Miljkovic, Ryan Cvejkus, Ping An, Bharat Thyagarajan, Kaare Christensen, Mary Wojczynski, Nicole Schupf, Joseph M Zmuda

2020-Current year OA Pubs

Little is known about the risk of type 2 diabetes (T2D) among the offspring of individuals with exceptional longevity. We determined the incidence of and potential risk and protective factors for T2D among the offspring of probands and offspring's spouses (mean age=60 years, range 32-88 years) in the Long Life Family Study (LLFS), a multicenter cohort study of 583 two-generation families with a clustering of healthy aging and exceptional longevity. Incident T2D was defined as fasting serum glucose ≥126 mg/dl, or HbA1c of ≥6.5%, or self-reported with doctor diagnosis of T2D, or the use of anti-diabetic medication during a mean …

How To Hospital: Barriers To Developing A Patient 'Hospital Survival Guide' To Support Information Transfer During Ward-Rounds On The Patient Journey From Admission To Hospital To Discharge, Swyn Lewis, Gwenlli Mai Jones, Paul Barach, Hawys Tomos, Mari Davies, Buddug Eckley, Hannah Rebecca Dowell, Christian Peter Subbe

College of Population Health Faculty Papers

Clinicians can enable patients to actively participate in their care but communication with patients is often poor and highly variable. The aim of this study was to explore patients' understanding of their current illness while in hospital and using a codesign process to create prototype tools to facilitate better communication during ward rounds. A mixed-methods, multistep design with step 1: Application of a questionnaire addressing domains of care in the acute medical unit; step 2: Development of communication aids that were codesigned with active help of patients, students and a specialist in user centric design to address patient needs and …

Increased Virus Dissemination Leads To Enhanced Lung Injury But Not Inflammation During Influenza-Associated Secondary Bacterial Infection, Amanda P Smith, Lindey C Lane, Ivan Ramirez Zuniga, David M Moquin, Peter Vogel, Amber M Smith

2020-Current year OA Pubs

Secondary bacterial infections increase influenza-related morbidity and mortality, particularly if acquired after 5-7 d from the viral onset. Synergistic host responses and direct pathogen-pathogen interactions are thought to lead to a state of hyperinflammation, but the kinetics of the lung pathology have not yet been detailed, and identifying the contribution of different mechanisms to disease is difficult because these may change over time. To address this gap, we examined host-pathogen and lung pathology dynamics following a secondary bacterial infection initiated at different time points after influenza within a murine model. We then used a mathematical approach to quantify the increased …

It Is Time To Define An Organizational Model For The Prevention And Management Of Infections Along The Surgical Pathway: A Worldwide Cross-Sectional Survey, Massimo Sartellli, John E. Mazuski, Et Al.

2020-Current year OA Pubs

No abstract provided.

Mega-Analysis Methods In Enigma: The Experience Of The Generalized Anxiety Disorder Working Group, André Zugman, Jennifer Harper, Michael Myers, Michael T Perino, Qiongru Yu, Chad M Sylvester, Et Al.

2020-Current year OA Pubs

The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as …

The Enigma Stroke Recovery Working Group: Big Data Neuroimaging To Study Brain-Behavior Relationships After Stroke, Sook-Lei Liew, Catherine E Lang, Anup K Bhattacharya, Et Al.

2020-Current year OA Pubs

The goal of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Stroke Recovery working group is to understand brain and behavior relationships using well-powered meta- and mega-analytic approaches. ENIGMA Stroke Recovery has data from over 2,100 stroke patients collected across 39 research studies and 10 countries around the world, comprising the largest multisite retrospective stroke data collaboration to date. This article outlines the efforts taken by the ENIGMA Stroke Recovery working group to develop neuroinformatics protocols and methods to manage multisite stroke brain magnetic resonance imaging, behavioral and demographics data. Specifically, the processes for scalable data intake and preprocessing, multisite data …

Animal Source Foods, Rich In Essential Amino Acids, Are Important For Linear Growth And Development Of Young Children In Low- And Middle-Income Countries, Panam Parikh, Richard Semba, Mark Manary, Sumathi Swaminathan, Emorn Udomkesmalee, Rolf Bos, Bee Koon Poh, Nipa Rojroongwasinkul, Jan Geurts, Rini Sekartini, Tran Thuy Nga

2020-Current year OA Pubs

Growth faltering under 5 years of age is unacceptably high worldwide, and even more children, while not stunted, fail to reach their growth potential. The time between conception and 2 years of age is critical for development. The period from 6 to 23 months, when complementary foods are introduced, coincides with a time when growth faltering and delayed neurocognitive developments are most common. Fortunately, this is also the period when diet exercises its greatest influence. Growing up in an adverse environment, with a deficient diet, as typically seen in low- and middle-income countries (LMICs), hampers growth and development of children …

Developing Real-World Evidence From Real-World Data: Transforming Raw Data Into Analytical Datasets, Lisa Bastarache, Jeffrey S Brown, James J Cimino, David A Dorr, Peter J Embi, Philip R O Payne, Adam B Wilcox, Mark G Weiner

2020-Current year OA Pubs

Development of evidence-based practice requires practice-based evidence, which can be acquired through analysis of real-world data from electronic health records (EHRs). The EHR contains volumes of information about patients-physical measurements, diagnoses, exposures, and markers of health behavior-that can be used to create algorithms for risk stratification or to gain insight into associations between exposures, interventions, and outcomes. But to transform real-world data into reliable real-world evidence, one must not only choose the correct analytical methods but also have an understanding of the quality, detail, provenance, and organization of the underlying source data and address the differences in these characteristics across …

A Phase 1b Study Of Telisotuzumab Vedotin In Combination With Nivolumab In Patients With Nsclc, D Ross Camidge, Daniel Morgensztern, Et Al.

2020-Current year OA Pubs

INTRODUCTION: Telisotuzumab vedotin (Teliso-V) is an anti-c-Met-directed antibody-drug conjugate that has exhibited antitumor activity as monotherapy in NSCLC. Its potential activity combined with programmed cell death protein-1 inhibitors has not been previously evaluated.

METHODS: In a phase 1b study (NCT02099058), adult patients (≥18 y) with advanced NSCLC received combination therapy with Teliso-V (1.6, 1.9, or 2.2 mg/kg, every 2 wk) plus nivolumab (3 mg/kg, 240 mg, or per locally approved label). The primary objective was to assess safety and tolerability; secondary objectives included the evaluation of antitumor activity.

RESULTS: As of January 2020, a total of 37 patients received treatment …

A Map Of Neurofilament Light Chain Species In Brain And Cerebrospinal Fluid And Alterations In Alzheimer's Disease, Melissa M Budelier, Yingxin He, Nicolas R Barthelemy, Hong Jiang, Yan Li, Ethan Park, Rachel L Henson, Suzanne E Schindler, David M Holtzman, Randall J Bateman

2020-Current year OA Pubs

Neurofilament light is a well-established marker of both acute and chronic neuronal damage and is increased in multiple neurodegenerative diseases. However, the protein is not well characterized in brain tissue or body fluids, and it is unknown what neurofilament light species are detected by commercial assays and whether additional species exist. We developed an immunoprecipitation-mass spectrometry assay using custom antibodies targeting various neurofilament light domains, including antibodies targeting Coil 1A/1B of the rod domain (HJ30.13), Coil 2B of the rod domain (HJ30.4) and the tail region (HJ30.11). We utilized our assay to characterize neurofilament light in brain tissue and CSF …

Responding To Sexual Abuse In Health Care: Development Of A Guide For Patients, Tristan Mcintosh, Heidi Walsh, Meredith Parsons, Erin D Solomon, Jessica Mozersky, James M Dubois

2020-Current year OA Pubs

This report details the development of a stakeholder- and evidence-informed online resource guide for patients that provides information to raise awareness about sexual abuse in health care, the value of chaperones, and options for responding to sexual abuse. The guide was developed to reflect lessons learned from 10 years of researching physician wrongdoing (ie, sexual violations, improper prescribing, and unnecessary invasive procedures), a 5-year National Institutes of Health-funded mixed-methods study of 280 cases of egregious wrongdoing in medicine, and an expert working group. Focus groups were conducted with 22 patients from diverse backgrounds to obtain feedback on the acceptability of …

Creation Of Philadelphia Chromosome By Crispr/Cas9-Mediated Double Cleavages On Bcr And Abl1 Genes As A Model For Initial Event In Leukemogenesis, Minori Tamai, Kenji Kamimoto, Kohei Omachi, Et Al.

2020-Current year OA Pubs

The Philadelphia (Ph) chromosome was the first translocation identified in leukemia. It is supposed to be generated by aberrant ligation between two DNA double-strand breaks (DSBs) at the BCR gene located on chromosome 9q34 and the ABL1 gene located on chromosome 22q11. Thus, mimicking the initiation process of translocation, we induced CRISPR/Cas9-mediated DSBs simultaneously at the breakpoints of the BCR and ABL1 genes in a granulocyte-macrophage colony-stimulating factor (GM-CSF) dependent human leukemia cell line. After transfection of two single guide RNAs (sgRNAs) targeting intron 13 of the BCR gene and intron 1 of the ABL1 gene, a factor-independent subline was …

Estimation Of Intrafamilial Dna Contamination In Family Trio Genome Sequencing Using Deviation From Mendelian Inheritance, Christopher J Yoon, Brian Wiley, Malachi Griffith, Obi L Griffith, Et Al.

2020-Current year OA Pubs

With the increasing number of sequencing projects involving families, quality control tools optimized for family genome sequencing are needed. However, accurately quantifying contamination in a DNA mixture is particularly difficult when genetically related family members are the sources. We developed TrioMix, a maximum likelihood estimation (MLE) framework based on Mendel's law of inheritance, to quantify DNA mixture between family members in genome sequencing data of parent-offspring trios. TrioMix can accurately deconvolute any intrafamilial DNA contamination, including parent-offspring, sibling-sibling, parent-parent, and even multiple familial sources. In addition, TrioMix can be applied to detect genomic abnormalities that deviate from Mendelian inheritance patterns, …

Induction Egfr Tyrosine Kinase Inhibitors Prior To Definitive Chemoradiotherapy In Unresectable Stage Iii Egfr-Mutated Non-Small Cell Lung Cancer, Jacqueline V Aredo, Heather A Wakelee, Angela Bik-Yu Hui, Sukhmani K Padda, Nitin D Joshi, H Henry Guo, Aadel Chaudhuri, Maximilian Diehn, Billy W Loo Jr, Joel W Neal

2020-Current year OA Pubs

INTRODUCTION: Increasing evidence suggests that consolidation durvalumab confers limited benefits for patients with stage III EGFR-mutated NSCLC. Induction or maintenance EGFR tyrosine kinase inhibitors (TKIs) added to concurrent chemoradiotherapy (CRT) may optimize definitive treatment, but there are limited data supporting an induction TKI strategy.

METHODS: We evaluated the efficacy and safety of induction EGFR TKIs administered before concurrent CRT in a retrospective series of patients with unresectable locally advanced EGFR-mutated NSCLC. Circulating tumor DNA (ctDNA) analysis was performed on a patient subset using CAPP-seq and correlated with outcomes.

RESULTS: Of six patients, three received erlotinib and three osimertinib as induction …

Detection Of Emerging Neurodegeneration Using Bayesian Linear Mixed-Effect Modeling, Yann Cobigo, Richard J Perrin, Et Al.

2020-Current year OA Pubs

Early detection of neurodegeneration, and prediction of when neurodegenerative diseases will lead to symptoms, are critical for developing and initiating disease modifying treatments for these disorders. While each neurodegenerative disease has a typical pattern of early changes in the brain, these disorders are heterogeneous, and early manifestations can vary greatly across people. Methods for detecting emerging neurodegeneration in any part of the brain are therefore needed. Prior publications have described the use of Bayesian linear mixed-effects (BLME) modeling for characterizing the trajectory of change across the brain in healthy controls and patients with neurodegenerative disease. Here, we use an extension …

Edge-Centric Analysis Of Stroke Patients: An Alternative Approach For Biomarkers Of Lesion Recovery, Sebastian Idesis, Joshua Faskowitz, Richard F Betzel, Maurizio Corbetta, Olaf Sporns, Gustavo Deco

2020-Current year OA Pubs

Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard node-centric functional connectivity to map the distributed effects in stroke patients. Here, given the importance of nonlocal and diffuse damage, we use an edge-centric approach to functional connectivity in order to provide an alternative description of the effects of this disorder. These techniques allow for the rendering of metrics such as normalized entropy, which describes the diversity of edge communities at each node. Moreover, the approach enables the identification of high amplitude co-fluctuations in fMRI time series. We found that normalized entropy is associated with stroke lesion severity …

Inferring The Dynamical Effects Of Stroke Lesions Through Whole-Brain Modeling, Sebastian Idesis, Chiara Favaretto, Nicholas V Metcalf, Joseph C Griffis, Gordon L Shulman, Maurizio Corbetta, Gustavo Deco

2020-Current year OA Pubs

Understanding the effect of focal lesions (stroke) on brain structure-function traditionally relies on behavioral analyses and correlation with neuroimaging data. Here we use structural disconnection maps from individual lesions to derive a causal mechanistic generative whole-brain model able to explain both functional connectivity alterations and behavioral deficits induced by stroke. As compared to other models that use only the local lesion information, the similarity to the empirical fMRI connectivity increases when the widespread structural disconnection information is considered. The presented model classifies behavioral impairment severity with higher accuracy than other types of information (e.g.: functional connectivity). We assessed topological measures …

Advances In Our Clinical Understanding Of Autonomic Regulation Therapy Using Vagal Nerve Stimulation In Patients Living With Heart Failure, Marvin A Konstam, Douglas L Mann, John James E Udelson, Jeffrey L Ardell, Gaetano M De Ferrari, Martin R Cowie, Helmut U Klein, Douglas D Gregory, Joseph M Massaro, Imad Libbus, Lorenzo A Dicarlo, Javed Butler, John D Parker, John R Teerlink

2020-Current year OA Pubs

The ANTHEM-HF, INOVATE-HF, and NECTAR-HF clinical studies of autonomic regulation therapy (ART) using vagus nerve stimulation (VNS) systems have collectively provided dose-ranging information enabling the development of several working hypotheses on how stimulation frequency can be utilized during VNS for tolerability and improving cardiovascular outcomes in patients living with heart failure (HF) and reduced ejection fraction (HFrEF). Changes in heart rate dynamics, comprising reduced heart rate (HR) and increased HR variability, are a biomarker of autonomic nerve system engagement and cardiac control, and appear to be sensitive to VNS that is delivered using a stimulation frequency that is similar to …

Association Of Pretreatment Hippocampal Volume With Neurocognitive Function In Patients Treated With Hippocampal Avoidance Whole Brain Radiation Therapy For Brain Metastases: Secondary Analysis Of Nrg Oncology/Rtog 0933, Christopher D. Abraham, Stephanie L. Pugh, Joseph A. Bovi, Vinai Gondi, Minesh P. Mehta, Tammie Benzinger, Christopher J. Owen, Simon S. Lo, Vijayananda Kundapur, Paul D. Brown, Alexander Y. Sun, Steven P. Howard, Albert S Denittis, Clifford G. Robinson, Lisa A. Kachnic

2020-Current year OA Pubs

PURPOSE: Hippocampal volume (HV) is an established predicting factor for neurocognitive function (NCF) in neurodegenerative disease. Whether the same phenomenon exists with hippocampal-avoidant whole brain radiation therapy is not known; therefore, we assessed the association of baseline HV with NCF among patients enrolled on RTOG 0933.

METHODS AND MATERIALS: Hippocampal volume and total brain volume were calculated from the radiation therapy plan. Hippocampal volume was correlated with baseline and 4-month NCF scores (Hopkins Verbal Learning Test-Revised [HVLT-R] Total Recall [TR], Immediate Recognition, and Delayed Recall [DR]) using Pearson correlation. Deterioration in NCF was defined per the primary endpoint of RTOG …

Cgas-Sting Pathway Targeted Therapies And Their Applications In The Treatment Of High-Grade Glioma, Shashwat Tripathi, Hinda Najem, Akanksha Sanjay Mahajan, Peng Zhang, Justin T Low, Alexander H Stegh, Michael A Curran, David M Ashley, Charles David James, Amy B Heimberger

2020-Current year OA Pubs

Median survival of patients with glioblastoma (GBM) treated with standard of care which consists of maximal safe resection of the contrast-enhancing portion of the tumor followed by radiation therapy with concomitant adjuvant temozolomide (TMZ) remains 15 months. The tumor microenvironment (TME) is known to contain immune suppressive myeloid cells with minimal effector T cell infiltration. Stimulator of interferon genes (STING) is an important activator of immune response and results in production of Type 1 interferon and antigen presentation by myeloid cells. This review will discuss important developments in STING agonists, potential biomarkers for STING response, and new combinatorial therapeutic approaches …

Sepsis Prediction For The General Ward Setting, Sean C Yu, Aditi Gupta, Kevin D Betthauser, Patrick G Lyons, Albert M Lai, Marin H Kollef, Philip R O Payne, Andrew P Michelson

2020-Current year OA Pubs

OBJECTIVE: To develop and evaluate a sepsis prediction model for the general ward setting and extend the evaluation through a novel pseudo-prospective trial design.

DESIGN: Retrospective analysis of data extracted from electronic health records (EHR).

SETTING: Single, tertiary-care academic medical center in St. Louis, MO, USA.

PATIENTS: Adult, non-surgical inpatients admitted between January 1, 2012 and June 1, 2019.

INTERVENTIONS: None.

MEASUREMENTS AND MAIN RESULTS: Of the 70,034 included patient encounters, 3.1% were septic based on the Sepsis-3 criteria. Features were generated from the EHR data and were used to develop a machine learning model to predict sepsis 6-h ahead …

Using Innovation-Corps (I-Corps™) Methods To Adapt A Mobile Health (Mhealth) Obesity Treatment For Community Mental Health Settings, Rita Haddad, Carolina Badke D'Andrea, Amanda Ricchio, Bradley Evanoff, Elaine H Morrato, Joseph Parks, John W Newcomer, Ginger E Nicol

2020-Current year OA Pubs

BACKGROUND: We employed Innovation Corps (I-Corps™) methods to adaptation of a mobile health (mHealth) short-message-system (SMS) -based interactive obesity treatment approach (iOTA) for adults with severe mentall illness receiving care in community settings.

METHODS: We hypothesized "jobs to be done" in three broad stakeholder groups: "decision makers" (DM = state and community clinic administrators), "clinician consumers" (CC = case managers, peer supports, nurses, prescribers) and "service consumers" (SC = patients, peers and family members). Semistructured interviews (

RESULTS: Four themes emerged across groups: education, inertia, resources and ownership. Sub-themes in education and ownership differed between DM and CC groups on …

Predicting Coronary Stenosis Progression Using Plaque Fatigue From Ivus-Based Thin-Slice Models: A Machine Learning Random Forest Approach, Xiaoya Guo, Akiko Maehara, Mingming Yang, Liang Wang, Jie Zheng, Habib Samady, Gary S Mintz, Don P Giddens, Dalin Tang

2020-Current year OA Pubs

No abstract provided.

Low-Dose Interleukin-2 Reverses Chronic Migraine-Related Sensitizations Through Peripheral Interleukin-10 And Transforming Growth Factor Beta-1 Signaling, Zhaohua Guo, Jintao Zhang, Xuemei Liu, Jacqueline Unsinger, Richard S. Hotchkiss, Yu-Qing Cao

2020-Current year OA Pubs

Low-dose interleukin-2 (LD-IL-2) treatment has been shown to effectively reverse chronic migraine-related behaviors and the sensitization of trigeminal ganglion (TG) neurons through expansion and activation of peripheral regulatory T cells (Tregs) in mice. In this study, we investigated the molecular mechanisms underlying the effects of LD-IL-2 and Treg cells. LD-IL-2 treatment increases the production of cytokines interleukin-10 (IL-10) and transforming growth factor beta-1 (TGFβ1) in T cells, especially Treg cells, suggesting that they may mediate the therapeutic effect of LD-IL-2. Indeed, neutralizing antibodies against either IL-10 or TGFβ completely blocked the effects of LD-IL-2 on the facial mechanical hypersensitivity as …

Cardiac Immune Cell Infiltration Associates With Abnormal Lipid Metabolism, Vincenza Cifarelli, Ondrej Kuda, Kui Yang, Xinping Liu, Richard W Gross, Terri A Pietka, Gyu Seong Heo, Deborah Sultan, Hannah Luehmann, Josie Lesser, Morgan Ross, Ira J Goldberg, Robert J Gropler, Yongjian Liu, Nada A Abumrad

2020-Current year OA Pubs

CD36 mediates the uptake of long-chain fatty acids (FAs), a major energy substrate for the myocardium. Under excessive FA supply, CD36 can cause cardiac lipid accumulation and inflammation while its deletion reduces heart FA uptake and lipid content and increases glucose utilization. As a result, CD36 was proposed as a therapeutic target for obesity-associated heart disease. However, more recent reports have shown that CD36 deficiency suppresses myocardial flexibility in fuel preference between glucose and FAs, impairing tissue energy balance, while CD36 absence in tissue macrophages reduces efferocytosis and myocardial repair after injury. In line with the latter homeostatic functions, we …

Understanding The Contribution Of Metabolism To Mycobacterium Tuberculosis Drug Tolerance, Amanda N Samuels, Erin R Wang, Gregory A Harrison, Joy C Valenta, Christina L Stallings

2020-Current year OA Pubs

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Analysis Of Neuronal Injury Transcriptional Response Identifies Ctcf And Yy1 As Co-Operating Factors Regulating Axon Regeneration, Oshri Avraham, Jimmy Le, Kathleen Leahy, Tiandao Li, Guoyan Zhao, Valeria Cavalli

2020-Current year OA Pubs

Injured sensory neurons activate a transcriptional program necessary for robust axon regeneration and eventual target reinnervation. Understanding the transcriptional regulators that govern this axon regenerative response may guide therapeutic strategies to promote axon regeneration in the injured nervous system. Here, we used cultured dorsal root ganglia neurons to identify pro-regenerative transcription factors. Using RNA sequencing, we first characterized this neuronal culture and determined that embryonic day 13.5 DRG (eDRG) neurons cultured for 7 days are similar to e15.5 DRG neurons

Deep Profiling Of Multiple Ischemic Lesions In A Large, Multi-Center Cohort: Frequency, Spatial Distribution, And Associations To Clinical Characteristics, Anna K Bonkhoff, Laura Heitsch, Chia-Ling Phuah, Et Al.

2020-Current year OA Pubs

BACKGROUND PURPOSE: A substantial number of patients with acute ischemic stroke (AIS) experience multiple acute lesions (MAL). We here aimed to scrutinize MAL in a large radiologically deep-phenotyped cohort.

MATERIALS AND METHODS: Analyses relied upon imaging and clinical data from the international MRI-GENIE study. Imaging data comprised both Fluid-attenuated inversion recovery (FLAIR) for white matter hyperintensity (WMH) burden estimation and diffusion-weighted imaging (DWI) sequences for the assessment of acute stroke lesions. The initial step featured the systematic evaluation of occurrences of MAL within one and several vascular supply territories. Associations between MAL and important imaging and clinical characteristics were subsequently …

Sustainability Of Breastfeeding Interventions To Reduce Child Mortality Rates In Low, Middle-Income Countries: A Systematic Review Of Randomized Controlled Trials, Alexis Engelhart, Stacey Mason, Ucheoma Nwaozuru, Chisom Obiezu-Umeh, Victoria Carter, Thembekile Shato, Titilola Gbaja-Biamila, David Oladele, Juliet Iwelunmor

2020-Current year OA Pubs

Child mortality is the lowest it has ever been, but the burden of death in low- and middle-income countries (LMICs) is still prevalent, and the numbers average above the global mean. Breastfeeding contributes to the reduction of child mortality by improving chance of survival beyond childhood. Therefore, it is essential to examine how evidence-based breastfeeding interventions are being maintained in resource-constrained settings. Guided by Scheirer and Dearing's sustainability framework, the aim of this systematic review was to explore how evidence-based breastfeeding interventions implemented to address child mortality in LMICs are sustained. The literature search included randomized controlled trials (RCTs) of …