Browsing by Subject "Health Services Research"

Now showing 1 - 4 of 4
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    Mental health services research: moving from academia to the community
    (Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins, 2010-06) Callahan, Christopher M.; Hendrie, Hugh C.; Department of Medicine, IU School of Medicine
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    Network science and oral health research
    (Wiley Blackwell (Blackwell Publishing), 2015) Maupome, Gerardo; McCranie, Ann; Department of Cariology, Operative Dentistry and Dental Public Health, IU School of Dentistry
    The present overview of research methods describes a scientific enquiry paradigm that is well established in other disciplines, including health research, but that is fairly new to oral health research. Social networks analysis (SNA) or network science research is a set of relational methods purporting to identify and characterize the connections between members of a system or network, as well as the structure of the network. Persons and communities making up the members of networks have commonly been the focus of SNA studies but corporations or living organisms might just as well be organized in networks. SNA is grounded in both graphic imagery and computational models. SNA is based on the assumptions that features and structure of networks are amenable to characterization, that such information sheds light on the ways members of the network relate to each other (sharing information, diseases, norms, and so on), and that through these connections between members the overall network structure and characteristics are shaped. The overview resorts to examples specific to oral health themes and proposes a few general avenues for population-based research.
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    Tracheostomy Practices and Outcomes in Children during Respiratory ECMO
    (Wolters Kluwer, 2022-04) Kohne, Joseph G.; MacLaren, Graeme; Rider, Erica; Carr, Benjamin; Mallory, Palen; Gebremariam, Acham; Friedman, Matthew L.; Barbaro, Ryan P.; Pediatrics, School of Medicine
    Objectives: Children receiving prolonged extracorporeal membrane oxygenation (ECMO) support may benefit from tracheostomy during ECMO by facilitating rehabilitation; however the procedure carries risks, especially hemorrhagic complications. Knowledge of tracheostomy practices and outcomes of ECMO-supported children who undergo tracheostomy on ECMO may inform decision-making. Design: Retrospective cohort study Setting: ECMO centers contributing to the Extracorporeal Life Support Organization (ELSO) Registry Patients: Children birth to 18 years who received ECMO support for 7 days or greater for respiratory failure from January 1st 2015 to December 31st 2019. Interventions: None Measurements and Main Results: 3685 children received at least seven days of ECMO support for respiratory failure. The median duration of ECMO support was 13.0 days (IQR 9.3-19.9), and in-hospital mortality was 38.7% (1426/3685). A tracheostomy was placed during ECMO support in 94/3685 (2.6%). Of those who received a tracheostomy on ECMO, the procedure was performed at a median 13.2 days (IQR 6.3-25.9) after initiation of ECMO. Surgical site bleeding was documented in 26% of children who received a tracheostomy (12% after tracheostomy placement). Among children who received a tracheostomy, the median duration of ECMO support was 24.2 days (IQR 13.0-58.7); in-hospital mortality was 30/94 (32%). Those that received a tracheostomy before 14 days on ECMO were older (median age 15.8 years (IQR 4.7-15.5) versus 11.7 years (IQR 11.5-17.3); p-value=0.002) and more likely to have been supported on VV-ECMO (84% vs 52%, p=0.001). Twenty-two percent (11/50) of those who received a tracheostomy before 14 days died in the hospital, compared to 19/44 (43%) of those who received a tracheostomy at 14 days or later (p=0.03). Conclusions: Tracheostomies during ECMO were uncommon in children. One in four patients who received a tracheostomy on ECMO had surgical site bleeding. Children who had tracheostomies placed after 14 days were younger and had worse outcomes, potentially representing tracheostomy as a “secondary” strategy for prolonged ECMO support.
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    Under-reporting and Poor Adherence to Monitoring Guidelines for Severe Cases of Isoniazid Hepatotoxicity
    (Elsevier, 2015-09) Hayashi, Paul H.; Fontana, Robert J.; Chalasani, Naga; Stolz, Andrew A.; Talwalker, Jay A.; Navarro, Victor J.; Lee, William M.; Davern, Timothy J.; Kleiner, David E.; Gu, Jiezhun; Hoofnagle, Jay H.; Department of Medicine, IU School of Medicine
    IMPORTANCE: Mutations in known causal Alzheimer disease (AD) genes account for only 1% to 3% of patients and almost all are dominantly inherited. Recessive inheritance of complex phenotypes can be linked to long (>1-megabase [Mb]) runs of homozygosity (ROHs) detectable by single-nucleotide polymorphism (SNP) arrays. OBJECTIVE: To evaluate the association between ROHs and AD in an African American population known to have a risk for AD up to 3 times higher than white individuals. DESIGN, SETTING, AND PARTICIPANTS: Case-control study of a large African American data set previously genotyped on different genome-wide SNP arrays conducted from December 2013 to January 2015. Global and locus-based ROH measurements were analyzed using raw or imputed genotype data. We studied the raw genotypes from 2 case-control subsets grouped based on SNP array: Alzheimer's Disease Genetics Consortium data set (871 cases and 1620 control individuals) and Chicago Health and Aging Project-Indianapolis Ibadan Dementia Study data set (279 cases and 1367 control individuals). We then examined the entire data set using imputed genotypes from 1917 cases and 3858 control individuals. MAIN OUTCOMES AND MEASURES: The ROHs larger than 1 Mb, 2 Mb, or 3 Mb were investigated separately for global burden evaluation, consensus regions, and gene-based analyses. RESULTS: The African American cohort had a low degree of inbreeding (F ~ 0.006). In the Alzheimer's Disease Genetics Consortium data set, we detected a significantly higher proportion of cases with ROHs greater than 2 Mb (P = .004) or greater than 3 Mb (P = .02), as well as a significant 114-kilobase consensus region on chr4q31.3 (empirical P value 2 = .04; ROHs >2 Mb). In the Chicago Health and Aging Project-Indianapolis Ibadan Dementia Study data set, we identified a significant 202-kilobase consensus region on Chr15q24.1 (empirical P value 2 = .02; ROHs >1 Mb) and a cluster of 13 significant genes on Chr3p21.31 (empirical P value 2 = .03; ROHs >3 Mb). A total of 43 of 49 nominally significant genes common for both data sets also mapped to Chr3p21.31. Analyses of imputed SNP data from the entire data set confirmed the association of AD with global ROH measurements (12.38 ROHs >1 Mb in cases vs 12.11 in controls; 2.986 Mb average size of ROHs >2 Mb in cases vs 2.889 Mb in controls; and 22% of cases with ROHs >3 Mb vs 19% of controls) and a gene-cluster on Chr3p21.31 (empirical P value 2 = .006-.04; ROHs >3 Mb). Also, we detected a significant association between AD and CLDN17 (empirical P value 2 = .01; ROHs >1 Mb), encoding a protein from the Claudin family, members of which were previously suggested as AD biomarkers. CONCLUSIONS AND RELEVANCE: To our knowledge, we discovered the first evidence of increased burden of ROHs among patients with AD from an outbred African American population, which could reflect either the cumulative effect of multiple ROHs to AD or the contribution of specific loci harboring recessive mutations and risk haplotypes in a subset of patients. Sequencing is required to uncover AD variants in these individuals.