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Pearson TA, Califf RM, Roper R, Engelgau MM, Khoury MJ, Alcantara C, Blakely C, Boyce CA, Brown M, Croxton TL, Fenton K, Green Parker MC, Hamilton A, Helmchen L, Hsu LL, Kent DM, Kind A, Kravitz J, Papanicolaou GJ, Prosperi M, Quinn M, Price LN, Shireman PK, Smith SM, Szczesniak R, Goff DC, Mensah GA. Precision Health Analytics With Predictive Analytics and Implementation Research: JACC State-of-the-Art Review. J Am Coll Cardiol 2021; 76:306-320. [PMID: 32674794 DOI: 10.1016/j.jacc.2020.05.043] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 05/04/2020] [Indexed: 12/14/2022]
Abstract
Emerging data science techniques of predictive analytics expand the quality and quantity of complex data relevant to human health and provide opportunities for understanding and control of conditions such as heart, lung, blood, and sleep disorders. To realize these opportunities, the information sources, the data science tools that use the information, and the application of resulting analytics to health and health care issues will require implementation research methods to define benefits, harms, reach, and sustainability; and to understand related resource utilization implications to inform policymakers. This JACC State-of-the-Art Review is based on a workshop convened by the National Heart, Lung, and Blood Institute to explore predictive analytics in the context of implementation science. It highlights precision medicine and precision public health as complementary and compelling applications of predictive analytics, and addresses future research and training endeavors that might further foster the application of predictive analytics in clinical medicine and public health.
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Affiliation(s)
- Thomas A Pearson
- College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida.
| | - Robert M Califf
- School of Medicine and Duke Clinical Research Institute, Duke University, Durham, North Carolina
| | - Rebecca Roper
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Michael M Engelgau
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Muin J Khoury
- Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Craig Blakely
- School of Public Health and Information Science, University of Louisville, Louisville, Kentucky
| | - Cheryl Anne Boyce
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Marishka Brown
- Division of Lung Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Thomas L Croxton
- Division of Lung Diseases, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Kathleen Fenton
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Melissa C Green Parker
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | | | - Lorens Helmchen
- Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Lucy L Hsu
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - David M Kent
- Predictive Analytics and Comparative Effectiveness (PACE) Center, Sackler School of Graduate Biomedical Sciences, Tufts University, Tufts Medical Center, Boston, Massachusetts
| | - Amy Kind
- Department of Medicine Health Services and Care Research Program, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | | | - George John Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Mattia Prosperi
- College of Medicine and College of Public Health and Health Professions, University of Florida Health Science Center, Gainesville, Florida
| | - Matt Quinn
- Health Technology, Telemedicine and Advanced Technology Research Center, Frederick, Maryland
| | - LeShawndra N Price
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Paula K Shireman
- School of Medicine, University of Texas Health Science Center at San Antonio and South Texas Veterans Health Care System, San Antonio, Texas
| | - Sharon M Smith
- Division of Blood Diseases and Resources, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Rhonda Szczesniak
- Division of Biostatistics & Epidemiology, Division of Pulmonary Medicine, Cincinnati Children's Hospital, Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - David Calvin Goff
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - George A Mensah
- Center for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
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Abstract
BACKGROUND Anecdotal evidence has suggested inefficiency in the pyramidal health care referral system established in Zimbabwe in 1980, as part of its primary health care (PHC) model. AIM To assess the functioning of the pyramidal referral system in two rural districts surrounding Harare, Zimbabwe, with regard to two common indicator conditions: pneumonia in children and malaria in adults. METHODS For a three-month period, all complete inpatient records with discharge diagnoses of pneumonia or malaria from three hospitals representing different levels of care were analyzed (n = 227). Data were collected on demographic and patient care variables. The appropriateness of admissions and referrals was determined by an assessment of the severity of illness and 'intensiveness' of care required. Data were analyzed for differences among the three hospitals and between the two indicator conditions. Per night inpatient bed costs for each hospital were also calculated. RESULTS For pneumonia in children, 56.8% of patients admitted at the secondary level, 53.8% of patients at the tertiary level and 57.8% of patients at the quaternary level were of mild severity. For malaria in adults, 74.0% of patients seen at the secondary level, 81.5% of patients at the tertiary level and 54.3% at the quaternary level were of mild severity. For pneumonia, were no differences in severity between the three hospitals whereas for malaria significant case-mix differences among the hospitals were found. Most patients attending the highest level referral facility were inappropriate admissions who could have been treated at a lower level of care. The majority of patients at all the hospitals studied had used that hospital as their first or second point of contact with the health services. There were large variations in the inpatient per night bed costs between the three hospitals. CONCLUSIONS Using the indicator diseases of pneumonia in children and malaria in adults, this study concluded that this network did not meet design expectations as the central level referral hospital cared for a similar case-mix of patients as the district level, but at six times the cost. The appropriateness of admissions and referrals could be improved by developing or strengthening intermediate level facilities, by changing mechanisms of access to specialist facilities and by training health professionals in community settings.
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Affiliation(s)
- D Sanders
- Public Health Programme, University of the Western Cape, Bellville, South Africa
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Jacobsen K, Kravitz J, Kincade PW, Osmond DG. Adhesion receptors on bone marrow stromal cells: in vivo expression of vascular cell adhesion molecule-1 by reticular cells and sinusoidal endothelium in normal and gamma-irradiated mice. Blood 1996; 87:73-82. [PMID: 8547679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
Cell adhesion molecules (CAMs) play a key role in interactions between stromal and hematopoietic cells in bone marrow (BM) and in cell traffic through vascular endothelium. To examine the identity of CAMs involved in these processes in mouse BM, we have investigated the in vivo expression of vascular cell adhesion molecule-1 (VCAM-1) and its counter-receptor, very late antigen-4 (VLA-4). Radioiodinated monoclonal antibodies (MoAbs) detecting VLA-4 and VCAM-1 were injected intravenously. Antibody binding was detected in BM by light and electron microscope radioautography. VCAM-1 labeling was restricted to stromal reticular cells and endothelial cells lining BM sinusoids. VCAM-1+ reticular cells formed patchy concentrations, especially in subosteal regions, associated with lymphoid, granulocytic, and erythroid cells. After gamma-irradiation to deplete hematopoietic cells, reticular cells and endothelial cells all showed VCAM-1 labeling in apparently increased intensity. VLA-4 labeling was shown by undifferentiated blast cells and lymphohematopoietic cells both in BM cell suspensions and in vivo, especially at reticular cell contact points. The results demonstrate that VCAM-1 is expressed in vivo by certain BM reticular cells, suggesting that the molecule mediates adhesion to multiple lineages of lymphohematopoietic cells. The finding that VCAM-1 is also expressed constitutively by BM sinusoidal endothelium, unlike its inductive expression by endothelia elsewhere, suggests that VCAM-1 and VLA-4 may be involved in regulating the normal cell traffic between BM and the blood stream.
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MESH Headings
- Anemia, Aplastic/metabolism
- Anemia, Aplastic/pathology
- Animals
- Antibodies, Monoclonal/immunology
- Bone Marrow/blood supply
- Bone Marrow/radiation effects
- Bone Marrow Cells
- Cell Adhesion
- Cell Movement
- Connective Tissue/metabolism
- Connective Tissue/radiation effects
- Connective Tissue Cells
- Endothelium, Vascular/cytology
- Endothelium, Vascular/metabolism
- Endothelium, Vascular/radiation effects
- Gamma Rays
- Gene Expression Regulation
- Hematopoietic Stem Cells/cytology
- Integrin alpha4beta1
- Integrins/biosynthesis
- Integrins/genetics
- Integrins/immunology
- Male
- Mice
- Mice, Inbred C3H
- Radiation Injuries, Experimental/metabolism
- Radiation Injuries, Experimental/pathology
- Receptors, Lymphocyte Homing/biosynthesis
- Receptors, Lymphocyte Homing/genetics
- Receptors, Lymphocyte Homing/immunology
- Vascular Cell Adhesion Molecule-1/biosynthesis
- Vascular Cell Adhesion Molecule-1/genetics
- Vascular Cell Adhesion Molecule-1/immunology
- Whole-Body Irradiation
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Affiliation(s)
- K Jacobsen
- Department of Anatomy and Cell Biology, McGill University, Montreal, Canada
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