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Kraus EM, Pierce SL, Porter R, Kompaniyets L, Vos MB, Blanck HM, King RJ, Goodman AB. Using Real-World Electronic Health Record Data to Assess Chronic Disease Screening in Children: A Case Study of Non-Alcoholic Fatty Liver Disease. Child Obes 2024; 20:41-47. [PMID: 36862137 PMCID: PMC10790548 DOI: 10.1089/chi.2022.0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Background: Data sources for assessing pediatric chronic diseases and associated screening practices are rare. One example is non-alcoholic fatty liver disease (NAFLD), a common chronic liver disease prevalent among children with overweight and obesity. If undetected, NAFLD can cause liver damage. Guidelines recommend screening for NAFLD using alanine aminotransferase (ALT) tests in children ≥9 years with obesity or those with overweight and cardiometabolic risk factors. This study explores how real-world data from electronic health records (EHRs) can be used to study NAFLD screening and ALT elevation. Research Design: Using IQVIA's Ambulatory Electronic Medical Record database, we studied patients 2-19 years of age with body mass index ≥85th percentile. Using a 3-year observation period (January 1, 2019 to December 31, 2021), ALT results were extracted and assessed for elevation (≥1 ALT result ≥22.1 U/L for females and ≥25.8 U/L for males). Patients with liver disease (including NAFLD) or receiving hepatotoxic medications during 2017-2018 were excluded. Results: Among 919,203 patients 9-19 years of age, only 13% had ≥1 ALT result, including 14% of patients with obesity and 17% of patients with severe obesity. ALT results were identified for 5% of patients 2-8 years of age. Of patients with ALT results, 34% of patients 2-8 years of age and 38% of patients 9-19 years of age had ALT elevation. Males 9-19 years of age had a higher prevalence of ALT elevation than females (49% vs. 29%). Conclusions: EHR data offered novel insights into NAFLD screening: despite screening recommendations, ALT results among children with excess weight were infrequent. Among those with ALT results, ALT elevation was common, underscoring the importance of screening for early disease detection.
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Affiliation(s)
- Emily M. Kraus
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Public Health Informatics Institute, Taskforce for Global Health, Atlanta, GA, USA
| | - Samantha Lange Pierce
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Renee Porter
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
- McKing Consulting Corporation, Atlanta, GA, USA
| | - Lyudmyla Kompaniyets
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Miriam B. Vos
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Heidi M. Blanck
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
- United States Public Health Service, Washington, DC, USA
| | - Raymond J. King
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alyson B. Goodman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
- United States Public Health Service, Washington, DC, USA
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King RJ, Heisey-Grove DM, Garrett N, Scott KA, Daley MF, Haemer MA, Podila P, Block JP, Carton T, Gregorowicz AJ, Mork KP, Porter RM, Chudnov DL, Jellison J, Kraus EM, Harrison MR, Sucosky MS, Armstrong S, Goodman AB. The Childhood Obesity Data Initiative: A Case Study in Implementing Clinical-Community Infrastructure Enhancements to Support Health Services Research and Public Health. J Public Health Manag Pract 2022; 28:E430-E440. [PMID: 34446638 PMCID: PMC8781217 DOI: 10.1097/phh.0000000000001419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
CONTEXT We describe a participatory framework that enhanced and implemented innovative changes to an existing distributed health data network (DHDN) infrastructure to support linkage across sectors and systems. Our processes and lessons learned provide a potential framework for other multidisciplinary infrastructure development projects that engage in a participatory decision-making process. PROGRAM The Childhood Obesity Data Initiative (CODI) provides a potential framework for local and national stakeholders with public health, clinical, health services research, community intervention, and information technology expertise to collaboratively develop a DHDN infrastructure that enhances data capacity for patient-centered outcomes research and public health surveillance. CODI utilizes a participatory approach to guide decision making among clinical and community partners. IMPLEMENTATION CODI's multidisciplinary group of public health and clinical scientists and information technology experts collectively defined key components of CODI's infrastructure and selected and enhanced existing tools and data models. We conducted a pilot implementation with 3 health care systems and 2 community partners in the greater Denver Metro Area during 2018-2020. EVALUATION We developed an evaluation plan based primarily on the Good Evaluation Practice in Health Informatics guideline. An independent third party implemented the evaluation plan for the CODI development phase by conducting interviews to identify lessons learned from the participatory decision-making processes. DISCUSSION We demonstrate the feasibility of rapid innovation based upon an iterative and collaborative process and existing infrastructure. Collaborative engagement of stakeholders early and iteratively was critical to ensure a common understanding of the research and project objectives, current state of technological capacity, intended use, and the desired future state of CODI architecture. Integration of community partners' data with clinical data may require the use of a trusted third party's infrastructure. Lessons learned from our process may help others develop or improve similar DHDNs.
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Affiliation(s)
- Raymond J. King
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Dawn M. Heisey-Grove
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Nedra Garrett
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Kenneth A. Scott
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Matthew F. Daley
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Matthew A. Haemer
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Pradeep Podila
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Jason P. Block
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Tom Carton
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Andrew J. Gregorowicz
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - K. Peter Mork
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Renee M. Porter
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Daniel L. Chudnov
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Jim Jellison
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Emily M. Kraus
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Megan R. Harrison
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Marissa Scalia Sucosky
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Sarah Armstrong
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
| | - Alyson B. Goodman
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King and Goodman and Mss Harrison and Sucosky), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garret), Centers for Disease Control and Prevention, Atlanta, Georgia; Health Technical Center, The MITRE Corporation, McLean, Virginia (Drs Heisey-Grove and Mork and Messrs Gregorowicz, Chudnov, and Jellison); Denver Public Health, Denver, Colorado (Dr Scott); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); University of Colorado Department of Pediatrics and Children's Hospital Colorado, Aurora, Colorado (Dr Haemer); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); McKing Consulting Corporation, Atlanta, Georgia (Dr Porter); Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); and Duke University School of Medicine, Durham, North Carolina (Dr Armstrong)
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Kraus EM, Scott KA, Zucker R, Heisey-Grove D, King RJ, Carton TW, Daley MF, Deakyne Davies SJ, Block JP, Haemer M, Goodman AB, Garrett N, Davidson AJ. A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative. J Public Health Manag Pract 2022; 28:E421-E429. [PMID: 34446639 PMCID: PMC8781231 DOI: 10.1097/phh.0000000000001408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
CONTEXT Integrating longitudinal data from community-based organizations (eg, physical activity programs) with electronic health record information can improve capacity for childhood obesity research. OBJECTIVE A governance framework that protects individual privacy, accommodates organizational data stewardship requirements, and complies with laws and regulations was developed and implemented to support the harmonization of data from disparate clinical and community information systems. PARTICIPANTS AND SETTING Through the Childhood Obesity Data Initiative (CODI), 5 Colorado-based organizations collaborated to expand an existing distributed health data network (DHDN) to include community-generated data and assemble longitudinal patient records for research. DESIGN A governance work group expanded an existing DHDN governance infrastructure with CODI-specific data use and exchange policies and procedures that were codified in a governance plan and a delegated-authority, multiparty, reciprocal agreement. RESULTS A CODI governance work group met from January 2019 to March 2020 to conceive an approach, develop documentation, and coordinate activities. Governance requirements were synthesized from the CODI use case, and a customized governance approach was constructed to address governance gaps in record linkage, a procedure to request data, and harmonizing community and clinical data. A Master Sharing and Use Agreement (MSUA) and Memorandum of Understanding were drafted and executed to support creation of linked longitudinal records of clinical- and community-derived childhood obesity data. Furthermore, a multiparty infrastructure protocol was approved by the local institutional review board (IRB) to expedite future CODI research by simplifying IRB research applications. CONCLUSION CODI implemented a clinical-community governance strategy that built trust between organizations and allowed efficient data exchange within a DHDN. A thorough discovery process allowed CODI stakeholders to assess governance capacity and reveal regulatory and organizational obstacles so that the governance infrastructure could effectively leverage existing knowledge and address challenges. The MSUA and complementary governance documents can inform similar efforts.
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Affiliation(s)
- Emily M. Kraus
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Kenneth A. Scott
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Rachel Zucker
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Dawn Heisey-Grove
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Raymond J. King
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Thomas W. Carton
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Matthew F. Daley
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Sara J. Deakyne Davies
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Jason P. Block
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Matthew Haemer
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Alyson B. Goodman
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Nedra Garrett
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
| | - Arthur J. Davidson
- Obesity Prevention and Control Branch, Division of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion (Drs King, Kraus, and Goodman), and Center for Surveillance Epidemiology and Laboratory Services (Ms Garrett), Centers for Disease Control and Prevention, Atlanta, Georgia; Public Health Informatics Institute, Decatur, Georgia (Dr Kraus); Denver Public Health, Denver, Colorado (Drs Davidson and Scott); Departments of Epidemiology (Dr Scott) and Biostatistics and Informatics (Dr Davidson), Colorado School of Public Health, Aurora, Colorado; Adult & Child Consortium for Health Outcomes Research & Delivery Science (Ms Zucker), and Department of Pediatrics, Section of Nutrition (Dr Haemer), University of Colorado Anschutz Medical Campus, Aurora, Colorado; Health Technical Center, The MITRE Corporation, McLean, Virginia (Dr Heisey-Grove); Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (Dr Daley); Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts (Dr Block); Louisiana Public Health Institute, New Orleans, Louisiana (Dr Carton); United States Public Health Service, Washington, District of Columbia (Dr Goodman); Research Informatics & Advanced Analytics, Analytics Resource Center, and Children's Hospital Colorado, Aurora, Colorado (Ms Deakyne Davies)
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Abstract
Objective: The beginning of postinfancy increase in BMI has been termed the adiposity rebound, and an early rebound increases the risk for obesity in adolescence and adulthood. We examined whether the relation of the age at BMI rebound (agerebound) to subsequent BMI is independent of childhood BMI. Design: From the electronic health records of 2.8 million children, we selected 17,077 children examined at least once each year between ages 2 and <8 years, and who were reexamined between age 10 and <16 years. The mean age at the last visit was 12 years (SD = 1). We identified agerebound for each child using lowess, a smoothing technique. Results: Children who had an agerebound <3 years were, on average, 6.8 kg/m2 heavier after age 10 years than were children with an agerebound >7 years. However, BMI after age 10 years was more strongly associated with BMI at the rebound (BMIrebound) than with agerebound (r = 0.63 vs. -0.49). Although the relation of agerebound to BMI at the last visit was mostly independent of the BMIrebound, adjustment for age-5 BMI reduced the association's magnitude by about 55%. Conclusions: Both agerebound and the BMIrebound are independently related to BMI and obesity after age 10 years. However, a child's BMIrebound and at ages 5 and 7 years accounts for more of the variability in BMI levels after age 10 years than does agerebound.
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Affiliation(s)
- David S Freedman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alyson B Goodman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Raymond J King
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Lyudmyla Kompaniyets
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Carrie Daymont
- Department of Pediatrics and Penn State College of Medicine, Hershey, PA, USA.,Department of Public Health Science, Penn State College of Medicine, Hershey, PA, USA
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5
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van Beek FE, King RJ, Brown C, Luca MD, Keller S. Static Weight Perception Through Skin Stretch and Kinesthetic Information: Detection Thresholds, JNDs, and PSEs. IEEE Trans Haptics 2021; 14:20-31. [PMID: 32746382 DOI: 10.1109/toh.2020.3009599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
We examined the contributions of kinesthetic and skin stretch cues to static weight perception. In three psychophysical experiments, several aspects of static weight perception were assessed by asking participants either to detect on which hand a weight was presented or to compare between two weight cues. Two closed-loop controlled haptic devices were used to present cutaneous and kinesthetic weights, in isolation and together, with a precision of 0.05 g. Our results show that combining skin stretch and kinesthetic information leads to better weight detection thresholds than presenting uni-sensory cues does. For supra-threshold stimuli, Weber fractions were 22-44%. Kinesthetic information was less reliable for lighter weights, while both sources of information were equally reliable for weights up to 300 g. Weight was perceived as equally heavy regardless of whether skin stretch and kinesthetic cues were presented together or alone. Data for lighter weights complied with an Optimal Integration model, while for heavier weights, measurements were closer to predictions from a Sensory Capture model. The presence of correlated noise might explain this discrepancy, since that would shift predictions from the Optimal Integration model towards our measurements. Our experiments provide device-independent perceptual measures, and can be used to inform, for instance, skin stretch device design.
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6
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Freedman DS, Goodman AB, King RJ, Daymont C. The Longitudinal Relation of Childhood Height to Subsequent Obesity in a Large Electronic Health Record Database. Obesity (Silver Spring) 2020; 28:1742-1749. [PMID: 32638501 DOI: 10.1002/oby.22901] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Several cross-sectional studies have shown that height in childhood is correlated with BMI and with body fatness, and two longitudinal studies have reported that childhood height is associated with adult BMI. This study explored this longitudinal association in an electronic health record database of 2.8 million children. METHODS Children were initially examined between the ages of 2 and 13.9 years and, on average, were reexamined 4 years later. RESULTS As expected, there was a cross-sectional correlation between height-for-age z score and BMI that increased from r = -0.06 (age of 2 years) to r = 0.37 (age of 9-10 years). In addition, height-for-age at the first visit was related to subsequent BMI and obesity, with the prevalence of subsequent obesity increasing about fourfold over six categories of height-for-age at the first visit. About 40% of this longitudinal association was independent of initial BMI, but its magnitude decreased with initial age. For example, the initial height-for-age of children who were 12 years of age or older was only weakly associated with subsequent BMI. CONCLUSIONS Health professionals should recognize that greater childhood height-for-age before 12 years of age may be a marker for increased risk of subsequent obesity.
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Affiliation(s)
- David S Freedman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Alyson B Goodman
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Raymond J King
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Carrie Daymont
- Departments of Pediatrics and Public Health Science, Penn State College of Medicine, Hershey, Pennsylvania, USA
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7
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Tigue JA, King RJ, Mascaro SA. Simultaneous Kinematic and Contact Force Modeling of a Human Finger Tendon System Using Bond Graphs and Robotic Validation. J Dyn Syst Meas Control 2020; 142:0310071-3100714. [PMID: 32280137 PMCID: PMC7104745 DOI: 10.1115/1.4045494] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 11/18/2019] [Indexed: 06/11/2023]
Abstract
This paper aims to use bond graph modeling to create the most comprehensive finger tendon model and simulation to date. Current models are limited to either free motion without external contact or fixed finger force transmission between tendons and fingertip. The forward dynamics model, presented in this work, simultaneously simulates the kinematics of tendon-finger motion and contact forces of a central finger given finger tendon inputs. The model equations derived from bond graphs are accompanied by nonlinear relationships modeling the anatomical complexities of moment arms, tendon slacking, and joint range of motion (ROM). The structure of the model is validated using a robotic testbed, Utah's Anatomically correct Robotic Testbed (UART) finger. Experimental motion of the UART finger during free motion (no external contact) and surface contact are simulated using the bond graph model. The contact forces during the surface contact experiments are also simulated. On average, the model was able to predict the steady-state pose of the finger with joint angle errors less than 6 deg across both free motion and surface contact experiments. The static contact forces were accurately predicted with an average of 11.5% force magnitude error and average direction error of 12 deg.
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Affiliation(s)
- James A Tigue
- Department of Mechanical Engineering, University of Utah, 1495 E. 100 S, Salt Lake City, UT 84112 e-mail:
| | - Raymond J King
- Department of Mechanical Engineering, University of Utah, 1495 E. 100 S, Salt Lake City, UT 84112 e-mail:
| | - Stephen A Mascaro
- Mem. ASME Department of Mechanical Engineering, University of Utah, 1495 E. 100 S, Salt Lake City, UT 84112 e-mail:
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8
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Freedman DS, Goodman AB, King RJ, Blanck HM. Tracking of obesity among 2- to 9-year-olds in an electronic heath record database from 2006 to 2018. Obes Sci Pract 2020; 6:300-306. [PMID: 32523719 PMCID: PMC7278904 DOI: 10.1002/osp4.407] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 01/13/2020] [Accepted: 01/21/2020] [Indexed: 11/11/2022] Open
Abstract
Background and Objective As obesity among children and adolescents is associated with major health risks, including the persistence of obesity into adulthood, there has been interest in targeting prevention efforts at children and adolescent. The longitudinal tracking of BMI and obesity, as well as the effects of initial age and duration of follow‐up on this tracking, were examined in a large electronic health record (EHR) database. Methods The data consisted of 2.04 million children who were examined from 2006 through 2018. These children were initially examined between ages 2 and 9 years and had a final examination, on average, 4 years later. Results Overall, children with obesity at one examination were 7.7 times more likely to have obesity at a subsequent examination than children with a BMI ≤ 95th percentile. Further, 71% of children with obesity at one examination continued to have obesity at re‐examination. Although 2‐year‐olds had a relative risk of 5.5 and a positive predictive value of 54%, then sensitivity of obesity at younger ages was low. Of the children who were re‐examined after age 10 y and found to have obesity, only 22% had a BMI ≥ 95th percentile at age 2 years. Conclusions Despite the tracking of obesity at all ages, these results agree with previous reports that have found that an elevated BMI at a very young age will identify only a small proportion of older children with obesity.
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Affiliation(s)
- David S Freedman
- Division of Nutrition, Physical Activity and Obesity Centers for Disease Control and Prevention Atlanta Georgia
| | - Alyson B Goodman
- Division of Nutrition, Physical Activity and Obesity Centers for Disease Control and Prevention Atlanta Georgia
| | - Raymond J King
- Division of Nutrition, Physical Activity and Obesity Centers for Disease Control and Prevention Atlanta Georgia
| | - Heidi M Blanck
- Division of Nutrition, Physical Activity and Obesity Centers for Disease Control and Prevention Atlanta Georgia
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9
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Abstract
BACKGROUND Heart failure (HF)-a serious and costly condition-is increasingly prevalent. We estimated the US burden including emergency department (ED) visits, inpatient hospitalizations and associated costs, and mortality. METHODS AND RESULTS We analyzed 2006 to 2014 data from the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample, the Healthcare Cost and Utilization Project National (nationwide) Inpatient Sample, and the National Vital Statistics System. International Classification of Disease codes identified HF and comorbidities. Burden was estimated separately for ED visits, hospitalizations, and mortality. In addition, criteria were applied to identify total unique acute events. Rates of primary HF (primary diagnosis or underlying cause of death) and comorbid HF (comorbid diagnosis or contributing cause of death) were calculated, age standardized to the 2010 US population. In 2014, there were an estimated 1 068 412 ED visits, 978 135 hospitalizations, and 83 705 deaths with primary HF. There were 4 071 546 ED visits, 3 370 856 hospitalizations, and 230 963 deaths with comorbid HF. Between 2006 and 2014, the total unique acute event rate for primary HF declined from 536 to 449 per 100 000 (relative percent change of -16%; P for trend, <0.001) but increased for comorbid HF from 1467 to 1689 per 100 000 (relative percentage change, 15%; P for trend, <0.001). HF-related mortality decreased significantly from 2006 to 2009 but did not change meaningfully after 2009. For hospitalizations with primary HF, the estimated mean cost was $11 552 in 2014, totaling an estimated $11 billion. CONCLUSIONS Given substantial healthcare and mortality burden of HF, rising healthcare costs, and the aging US population, continued improvements in HF prevention, management, and surveillance are important.
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Affiliation(s)
- Sandra L Jackson
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
| | - Xin Tong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
| | - Raymond J King
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
| | - Fleetwood Loustalot
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
| | - Yuling Hong
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
| | - Matthew D Ritchey
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Chamblee, GA
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10
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Whitehead MI, King RJ, McQueen J, Campbell S. Endometrial Histology and Biochemistry in Climacteric Women during Oestrogen and Oestrogen/Progestogen Therapy. J R Soc Med 2018; 72:322-7. [PMID: 552525 PMCID: PMC1436867 DOI: 10.1177/014107687907200504] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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12
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King RJ, Chandrajay D, Abbas A, Orme SM, Barth JH. High-dose oral colecalciferol loading in obesity: impact of body mass index and its utility prior to bariatric surgery to treat vitamin D deficiency. Clin Obes 2017; 7:92-97. [PMID: 28146321 DOI: 10.1111/cob.12176] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Revised: 11/07/2016] [Accepted: 11/20/2016] [Indexed: 12/18/2022]
Abstract
Obesity is associated with lower vitamin D levels compared with normal weight subjects, and if levels are not replaced prior to bariatric surgery, this can increase fracture risk as bone density typically falls post-operatively. We analysed the effect of body mass index (BMI) on vitamin D levels in response to 300 000 IU of colecalciferol in patients with vitamin D deficiency (<30 nmol L-1 ). Patients were grouped according to their BMI as normal weight (20-24.9 kg m-2 ), overweight (25-29.9 kg m-2 ), obese class I (30-34.9 kg m-2 ) and obese class II and above (>35 kg m-2 ). The records were retrospectively analysed to investigate the effects of BMI on vitamin D (total 25-hydroxy vitamin D [25(OH)D]), serum Ca2+ and parathyroid hormone (PTH) levels at 6, 12, 26 and 52 weeks compared with baseline. Compared with normal weight subjects, overweight and obese patients achieved lower mean peak total 25(OH)D levels (6 weeks post-loading), which was most significant in the class II and above group (mean total 25(OH)D levels 96.5 ± 24.2 nmol L-1 and 72.42 ± 24.9 nmol L-1 , respectively; P = 0.003). By 26 weeks, total 25(OH)D levels fell in all groups; however, there was now a significant difference between the normal weight subjects and all other groups (mean total 25(OH)D levels 84.1 ± 23.7 nmol L-1 ; 58 ± 20 nmol L-1 , P = 0.0002; 62.65 ± 19.2 nmol L-1 , P = 0.005; 59.2 ± 21 nmol L-1 , P = 0.005, respectively). Far fewer patients in the overweight and obese groups maintained levels above the recommended level of 75 nmol L-1 52 weeks post-loading (93%; 20%, P = 0.0003; 23%, P = 0.01; and 14%, P = 0.001, respectively). Alternative regimes for the treatment of vitamin D deficiency are needed in overweight and obese patients, especially those in whom bariatric surgery is planned.
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Affiliation(s)
- R J King
- Department of Endocrinology, St. James' University Hospital, Leeds, UK
| | - D Chandrajay
- Department of Endocrinology, St. James' University Hospital, Leeds, UK
- Department of Clinical Biochemistry, St. James' University Hospital, Leeds, UK
| | - A Abbas
- Department of Endocrinology, St. James' University Hospital, Leeds, UK
| | - S M Orme
- Department of Endocrinology, St. James' University Hospital, Leeds, UK
| | - J H Barth
- Department of Endocrinology, St. James' University Hospital, Leeds, UK
- Department of Clinical Biochemistry, St. James' University Hospital, Leeds, UK
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13
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King RJ, Garrett N, Kriseman J, Crum M, Rafalski EM, Sweat D, Frazier R, Schearer S, Cutts T. A Community Health Record: Improving Health Through Multisector Collaboration, Information Sharing, and Technology. Prev Chronic Dis 2016; 13:E122. [PMID: 27609300 PMCID: PMC5027852 DOI: 10.5888/pcd13.160101] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
We present a framework for developing a community health record to bring stakeholders, information, and technology together to collectively improve the health of a community. It is both social and technical in nature and presents an iterative and participatory process for achieving multisector collaboration and information sharing. It proposes a methodology and infrastructure for bringing multisector stakeholders and their information together to inform, target, monitor, and evaluate community health initiatives. The community health record is defined as both the proposed framework and a tool or system for integrating and transforming multisector data into actionable information. It is informed by the electronic health record, personal health record, and County Health Ranking systems but differs in its social complexity, communal ownership, and provision of information to multisector partners at scales ranging from address to zip code.
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Affiliation(s)
- Raymond J King
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, 1600 Clifton Rd, NE, Atlanta, GA 30333. . At the time this study was initiated Dr King was a Public Health Informatics Fellow at the Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nedra Garrett
- Center for Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Melvin Crum
- National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Edward M Rafalski
- BayCare Health System, Clearwater, Florida. At the time this study was initiated Dr Rafalski was at Methodist Le Bonheur Healthcare, Memphis, Tennessee
| | - David Sweat
- Shelby County Health Department, Memphis, Tennessee
| | | | - Sue Schearer
- Methodist Le Bonheur Healthcare, Memphis, Tennessee
| | - Teresa Cutts
- Wake Forest School of Medicine, Winston-Salem, North Carolina. At the time this study was initiated Dr Cutts was at Methodist Le Bonheur Healthcare, Memphis, Tennessee
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King RJ, Harrison L, Gilbey SG, Santhakumar A, Wyatt J, Jones R, Bodansky HJ. Diabetic hepatosclerosis: another diabetes microvascular complication? Diabet Med 2016; 33:e5-7. [PMID: 26315331 DOI: 10.1111/dme.12898] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 05/21/2015] [Accepted: 08/24/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND Liver disease in diabetes is common and is frequently the result of hepatic steatosis. Diabetic hepatosclerosis is a relatively recent description of sinusoidal fibrosis, without steatosis, observed in liver biopsies of people with diabetes presenting with cholestasis. Its association with other microvascular complications suggests it is a form of hepatic diabetic microangiopathy. CASE REPORT We report the case of a 50-year-old woman with longstanding Type 1 diabetes, complicated by nephropathy resulting in cadaveric renal transplant, retinopathy, gastroparesis and neuropathy with slowly healing ulceration to her right foot. She was noted to have deranged liver function tests: alanine aminotransferase, 162 IU/l; bilirubin, 44 IU/l; alkaline phosphatase, 5279 IU/l (isoenzymes; bone 1029 IU/l, liver 4250 IU/l); γ-glutamyl transferase, 662 IU/l. A non-invasive liver screen did not reveal the cause of the cholestasis. A liver biopsy demonstrated sinusoidal fibrosis without evidence of steatosis and thus a diagnosis of diabetic hepatosclerosis was made. Comparison with a biopsy performed 11 years previously at a different trust due to elevated alkaline phosphatase levels revealed slow progression of the sinusoidal fibrosis. DISCUSSION This case describes the longest reported clinical course of diabetic hepatosclerosis, spanning 11 years, in which time the patient did not develop evidence of cirrhosis or portal hypertension. It is difficult to estimate the clinical relevance of this condition because little is known regarding its clinical course and effect on morbidity and mortality. Identified patients should undergo low-intensity, long-term follow-up to improve understanding of its clinical sequelae and relevance.
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Affiliation(s)
- R J King
- Department of Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - L Harrison
- Department of Hepatology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - S G Gilbey
- Department of Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - A Santhakumar
- Department of Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - J Wyatt
- Department of Pathology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - R Jones
- Department of Hepatology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
| | - H J Bodansky
- Department of Diabetes and Endocrinology, Leeds Teaching Hospitals NHS Trust, St James' University Hospital, Leeds, UK
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Godsey MS, King RJ, Burkhalter K, Delorey M, Colton L, Charnetzky D, Sutherland G, Ezenwa VO, Wilson LA, Coffey M, Milheim LE, Taylor VG, Palmisano C, Wesson DM, Guptill SC. Ecology of potential West Nile virus vectors in Southeastern Louisiana: enzootic transmission in the relative absence of Culex quinquefasciatus. Am J Trop Med Hyg 2013; 88:986-96. [PMID: 23478575 DOI: 10.4269/ajtmh.12-0109] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
A study of West Nile virus (WNV) ecology was conducted in St. Tammany Parish, Louisiana, from 2002 to 2004. Mosquitoes were collected weekly throughout the year using Centers for Disease Control and Prevention (CDC) light traps placed at 1.5 and 6 m above the ground and gravid traps. A total of 379,466 mosquitoes was collected. WNV was identified in 32 pools of mosquitoes comprising four species; 23 positive pools were from Culex nigripalpus collected during 2003. Significantly more positive pools were obtained from Cx. nigripalpus collected in traps placed at 6 m than 1.5 m that year, but abundance did not differ by trap height. In contrast, Cx. nigripalpus abundance was significantly greater in traps placed at 6 m in 2002 and 2004. Annual temporal variation in Cx. nigripalpus peak seasonal abundance has important implications for WNV transmission in Louisiana. One WNV-positive pool, from Cx. erraticus, was collected during the winter of 2004, showing year-round transmission. The potential roles of additional mosquito species in WNV transmission in southeastern Louisiana are discussed.
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Affiliation(s)
- Marvin S Godsey
- Division of Vector-Borne Diseases, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO 80521, USA.
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King RJ, Cordon-Rosales C, Cox J, Davies CR, Kitron UD. Triatoma dimidiata infestation in Chagas disease endemic regions of Guatemala: comparison of random and targeted cross-sectional surveys. PLoS Negl Trop Dis 2011; 5:e1035. [PMID: 21532742 PMCID: PMC3075228 DOI: 10.1371/journal.pntd.0001035] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2010] [Accepted: 03/11/2011] [Indexed: 12/03/2022] Open
Abstract
Background Guatemala is presently engaged in the Central America Initiative to interrupt Chagas disease transmission by reducing intradomiciliary prevalence of Triatoma dimidiata, using targeted cross-sectional surveys to direct control measures to villages exceeding the 5% control threshold. The use of targeted surveys to guide disease control programs has not been evaluated. Here, we compare the findings from the targeted surveys to concurrent random cross-sectional surveys in two primary foci of Chagas disease transmission in central and southeastern Guatemala. Methodology/Principal Findings Survey prevalences of T. dimidiata intradomiciliary infestation by village and region were compared. Univariate logistic regression was used to assess the use of risk factors to target surveys and to evaluate indicators associated with village level intradomiciliary prevalences >5% by survey and region. Multivariate logistic regression models were developed to assess the ability of random and targeted surveys to target villages with intradomiciliary prevalence exceeding the control threshold within each region. Regional prevalences did not vary by survey; however, village prevalences were significantly greater in random surveys in central (13.0% versus 8.7%) and southeastern (22.7% versus 6.9%) Guatemala. The number of significant risk factors detected did not vary by survey in central Guatemala but differed considerably in the southeast with a greater number of significant risk factors in the random survey (e.g. land surface temperature, relative humidity, cropland, grassland, tile flooring, and stick and mud and palm and straw walls). Differences in the direction of risk factor associations were observed between regions in both survey types. The overall discriminative capacity was significantly greater in the random surveys in central and southeastern Guatemala, with an area under the receiver-operator curve (AUC) of 0.84 in the random surveys and approximately 0.64 in the targeted surveys in both regions. Sensitivity did not differ between surveys, but the positive predictive value was significantly greater in the random surveys. Conclusions/Significance Surprisingly, targeted surveys were not more effective at determining T. dimidiata prevalence or at directing control to high risk villages in comparison to random surveys. We recommend that random surveys should be selected over targeted surveys whenever possible, particularly when the focus is on directing disease control and elimination and when risk factor association has not been evaluated for all regions under investigation. Chagas disease is a vector-borne parasitic zoonosis endemic throughout South and Central America and Mexico. Guatemala is engaged in the Central America Initiative to interrupt Chagas disease transmission. A major strategy is the reduction of Triatoma dimidiata domiciliary infestations through indoor application of residual insecticides. Successful control of T. dimidiata will depend on accurate identification of areas at greatest risk for infestation. Initial efforts focused primarily on targeted surveys of presumed risk factors and suspected infestation to define intervention areas. This policy has not been evaluated and might not maximize the effectiveness of limited resources if high prevalence villages are missed or low prevalence villages are visited unnecessarily. We compare findings from the targeted surveys to concurrent random surveys in two primary foci of Chagas disease transmission in Guatemala to evaluate the performance of the targeted surveys. Our results indicate that random surveys performed better than targeted surveys and should be considered over targeted surveys when reliability of risk factors has not been evaluated, identify useful environmental factors to predict infestation, and indicate that infestation risk varies locally. These findings are useful for decision-makers at national Chagas Disease control programs in Central America, institutions supporting development efforts, and funding agencies.
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Affiliation(s)
- Raymond J King
- Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
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Short KA, Doyle JD, King RJ, Seidler RJ, Stotzky G, Olsen RH. Effects of 2,4-dichlorophenol, a metabolite of a genetically engineered bacterium, and 2,4-dichlorophenoxyacetate on some microorganism-mediated ecological processes in soil. Appl Environ Microbiol 2010; 57:412-8. [PMID: 16348408 PMCID: PMC182725 DOI: 10.1128/aem.57.2.412-418.1991] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A genetically engineered microorganism, Pseudomonas putida PPO301(pRO103), and the plasmidless parent strain, PPO301, were added at approximately 10 CFU/g of soil amended with 500 ppm of 2,4-dichlorophenoxyacetate (2,4-D) (500 mug/g). The degradation of 2,4-D and the accumulation of a single metabolite, identified by gas chromatography-mass spectrophotometry as 2,4-dichlorophenol (2,4-DCP), occurred only in soil inoculated with PPO301(pRO103), wherein 2,4-DCP accumulated to >70 ppm for 5 weeks and the concentration of 2,4-D was reduced to <100 ppm. Coincident with the accumulation of 2,4-DCP was a >400-fold decline in the numbers of fungal propagules and a marked reduction in the rate of CO(2) evolution, whereas 2,4-D did not depress either fungal propagules or respiration of the soil microbiota. 2,4-DCP did not appear to depress the numbers of total heterotrophic, sporeforming, or chitin-utilizing bacteria. In vitro and in situ assays conducted with 2,4-DCP and fungal isolates from the soil demonstrated that 2,4-DCP was toxic to fungal propagules at concentrations below those detected in the soil.
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Affiliation(s)
- K A Short
- Environmental Research Laboratory, 200 SW 35th Street, and NSI Technology Services Corp., Environmental Sciences, Environmental Research Laboratory, U.S. Environmental Protection Agency, Corvallis, Oregon 97333; Department of Biology, New York University, New York, New York 10003 ; and Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan 48109
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King RJ, Confer DL, Greinix HT, Halter J, Horowitz M, Schmidt AH, Costeas P, Shaw B, Egeland T. Unrelated hematopoietic stem cell donors as research subjects. Bone Marrow Transplant 2010; 46:10-3. [PMID: 20190845 DOI: 10.1038/bmt.2010.37] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Requests for participation of unrelated stem cell donors in research transplant protocols are becoming more frequent. World Marrow Donor Association calls on donor registries to participate in research activities. Here, we discuss various implications of research participation and make some recommendations as how to make this possible.
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Affiliation(s)
- R J King
- National Marrow Donor Program, Minneapolis, MN, USA
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King RJ, Craig PRS, Boreham BG, Majeed MA, Moran CG. The magnification of digital radiographs in the trauma patient: implications for templating. Injury 2009; 40:173-6. [PMID: 19095234 DOI: 10.1016/j.injury.2008.06.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2008] [Accepted: 06/10/2008] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Digital radiographs are increasingly used for planning orthopaedic surgical procedures, despite the fact that they are frequently not calibrated to correct for magnification. The typical magnification of digital radiographs in the trauma patient has not yet been reported. The aims of this study were to assess the magnification of such radiographs, and to discuss if and when accurate calibration is required for trauma templating. MATERIALS AND METHODS The operative notes and postoperative radiographs of 227 trauma patients were obtained. Each patient had undergone one of the following procedures: hip hemiarthroplasty, femoral nailing, tibial nailing, ankle plating, humeral nailing, humeral plating, or forearm plating. The dimensions of the implants used were measured on the uncalibrated postoperative radiographs using the hospital's Picture Archiving and Communication System software. The actual dimensions of the orthopaedic implants were obtained from the operation notes, and these were compared with the radiographic measurements. The intraobserver and interobserver variability of the radiographic measurements was also assessed. RESULTS The radiographic magnification was greatest for the femoral head, and most variable for the femoral shaft. The magnification was least for the forearm. In general the magnitude and variability of magnification was least at the peripheries. There was good correlation between the measured and actual dimensions of the implants. The intraobserver and interobserver variability between the radiographic measurements was extremely small. CONCLUSION Despite the ease and convenience of performing measurements on digital radiographs, these measurements are unreliable if the radiograph has not been calibrated. We believe that careful calibration of digital radiographs is essential for accurate templating in the trauma patient, although is less critical when templating the humeral canal, the tibial canal, the ankle and the forearm.
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Affiliation(s)
- R J King
- Trauma and Orthopaedic Surgery, Queen's Medical Centre, Nottingham, United Kingdom.
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King RJ, Ozcan SS, Carter T, Kalfoğlu E, Atasoy S, Triantaphyllidis C, Kouvatsi A, Lin AA, Chow CET, Zhivotovsky LA, Michalodimitrakis M, Underhill PA. Differential Y-chromosome Anatolian influences on the Greek and Cretan Neolithic. Ann Hum Genet 2008; 72:205-14. [PMID: 18269686 DOI: 10.1111/j.1469-1809.2007.00414.x] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The earliest Neolithic sites of Europe are located in Crete and mainland Greece. A debate persists concerning whether these farmers originated in neighboring Anatolia and the role of maritime colonization. To address these issues 171 samples were collected from areas near three known early Neolithic settlements in Greece together with 193 samples from Crete. An analysis of Y-chromosome haplogroups determined that the samples from the Greek Neolithic sites showed strong affinity to Balkan data, while Crete shows affinity with central/Mediterranean Anatolia. Haplogroup J2b-M12 was frequent in Thessaly and Greek Macedonia while haplogroup J2a-M410 was scarce. Alternatively, Crete, like Anatolia showed a high frequency of J2a-M410 and a low frequency of J2b-M12. This dichotomy parallels archaeobotanical evidence, specifically that while bread wheat (Triticum aestivum) is known from Neolithic Anatolia, Crete and southern Italy; it is absent from earliest Neolithic Greece. The expansion time of YSTR variation for haplogroup E3b1a2-V13, in the Peloponnese was consistent with an indigenous Mesolithic presence. In turn, two distinctive haplogroups, J2a1h-M319 and J2a1b1-M92, have demographic properties consistent with Bronze Age expansions in Crete, arguably from NW/W Anatolia and Syro-Palestine, while a later mainland (Mycenaean) contribution to Crete is indicated by relative frequencies of V13.
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Affiliation(s)
- R J King
- Department of Psychiatry and Behavioral Sciences, Stanford University, 401 Quarry Road, Stanford, CA 94305-5722, USA
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Ezenwa VO, Milheim LE, Coffey MF, Godsey MS, King RJ, Guptill SC. Land cover variation and West Nile virus prevalence: patterns, processes, and implications for disease control. Vector Borne Zoonotic Dis 2007; 7:173-80. [PMID: 17627435 DOI: 10.1089/vbz.2006.0584] [Citation(s) in RCA: 56] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Identifying links between environmental variables and infectious disease risk is essential to understanding how human-induced environmental changes will effect the dynamics of human and wildlife diseases. Although land cover change has often been tied to spatial variation in disease occurrence, the underlying factors driving the correlations are often unknown, limiting the applicability of these results for disease prevention and control. In this study, we described associations between land cover composition and West Nile virus (WNV) infection prevalence, and investigated three potential processes accounting for observed patterns: (1) variation in vector density; (2) variation in amplification host abundance; and (3) variation in host community composition. Interestingly, we found that WNV infection rates among Culex mosquitoes declined with increasing wetland cover, but wetland area was not significantly associated with either vector density or amplification host abundance. By contrast, wetland area was strongly correlated with host community composition, and model comparisons suggested that this factor accounted, at least partially, for the observed effect of wetland area on WNV infection risk. Our results suggest that preserving large wetland areas, and by extension, intact wetland bird communities, may represent a valuable ecosystem-based approach for controlling WNV outbreaks.
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Affiliation(s)
- Vanessa O Ezenwa
- Division of Biological Sciences, University of Montana, Missoula, Montana 59812, USA.
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Ezenwa VO, Godsey MS, King RJ, Guptill SC. Avian diversity and West Nile virus: testing associations between biodiversity and infectious disease risk. Proc Biol Sci 2006; 273:109-17. [PMID: 16519242 PMCID: PMC1560012 DOI: 10.1098/rspb.2005.3284] [Citation(s) in RCA: 179] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The emergence of several high profile infectious diseases in recent years has focused attention on our need to understand the ecological factors contributing to the spread of infectious diseases. West Nile virus (WNV) is a mosquito-borne zoonotic disease that was first detected in the United States in 1999. The factors accounting for variation in the prevalence of WNV are poorly understood, but recentideas suggesting links between high biodiversity and reduced vector-borne disease risk may help account for distribution patterns of this disease. Since wild birds are the primary reservoir hosts for WNV, we tested associations between passerine (Passeriform) bird diversity, non-passerine (all other orders) bird diversity and virus infection rates in mosquitoes and humans to examine the extent to which bird diversity is associated with WNV infection risk. We found t h at non-passerine species richness (number of non-passerine species) was significantly negatively correlated with both mosquito and human infection rates, whereas there was no significant association between passerine species richness and any measure of infection risk. Our findings suggest that non-passerine diversity may play a role in dampening WNV amplification rates in mosquitoes, minimizing human disease risk.
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Affiliation(s)
- Vanessa O Ezenwa
- U.S. Geological Survey, 521 National Center, Reston, VA 20192, USA.
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Abstract
Predicting Geographic Variation in ACL, Colombia Approximately 6,000 cases of cutaneous leishmaniasis are reported annually in Colombia, a greater than twofold increase since the 1980s. Such reports certainly underestimate true incidence, and their geographic distribution is likely biased by local health service effectiveness. We investigated how well freely available environmental data explain the distribution of cases among 1,079 municipalities. For each municipality, a unique predictive logistic regression model was derived from the association among remaining municipalities between elevation, land cover (preclassified maps derived from satellite images), or both, and the odds of at least one case being reported. Land cover had greater predictive power than elevation; using both datasets improved accuracy. Fitting separate models to different ecologic zones, reflecting transmission cycle diversity, enhanced the accuracy of predictions. We derived measures that can be directly related to disease control decisions and show how results can vary, depending on the threshold selected for predicting a disease-positive municipality. The results identify areas where disease is most likely to be underreported.
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Affiliation(s)
- Raymond J King
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
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King RJ, Laugharne D, Kerslake RW, Holdsworth BJ. Primary obturator pyomyositis: a diagnostic challenge. J Bone Joint Surg Br 2003; 85:895-8. [PMID: 12931815] [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] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
Pyomyositis of the obturator muscles is a rare condition, characterised by pain in the hip and features of systemic infection. It may follow minor trauma to the hip, sometimes in the presence of an apparently innocuous infective source. All previously reported cases have been diagnosed conclusively on the initial CT or MR scan. We present a case of obturator pyomyositis in a 21-year-old football player in which the first MR scan was misleading. A radiolabelled, white blood cell scan was also negative and the resultant delay in diagnosis proved dangerous. The crucial importance of careful and repeated clinical examination is emphasised.
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Affiliation(s)
- R J King
- Queen's Medical Centre, University Hospital NHS Trust, Nottingham, England
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Vivekananda J, Smith D, King RJ. Sphingomyelin metabolites inhibit sphingomyelin synthase and CTP:phosphocholine cytidylyltransferase. Am J Physiol Lung Cell Mol Physiol 2001; 281:L98-L107. [PMID: 11404252 DOI: 10.1152/ajplung.2001.281.1.l98] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Tissue injury in inflammation involves the release of several cytokines that activate sphingomyelinases and generate ceramide. In the lung, the impaired metabolism of surfactant phosphatidylcholine (PC) accompanies this acute and chronic injury. These effects are long-lived and extend beyond the time frame over which tumor necrosis factor (TNF)-alpha and interleukin-1beta are elevated. In this paper, we demonstrate that in H441 lung cells these two processes, cytokine-induced metabolism of sphingomyelin and the inhibition of PC metabolism, are directly interrelated. First, metabolites of sphingomyelin hydrolysis themselves inhibit key enzymes necessary for restoring homeostasis between sphingomyelin and its metabolites. Ceramide stimulates sphingomyelinases as effectively as TNF-alpha, thereby amplifying the sphingomyelinase activation, and TNF-alpha, ceramide, and sphingosine all inhibit PC:ceramide phosphocholine transferase (sphingomyelin synthase), the enzyme that restores homeostasis between sphingomyelin and ceramide pools. Second, ceramide inhibits PC synthesis, probably because of its effects on CTP:phosphocholine cytidylyltransferase, the rate-limiting enzymatic step in de novo PC synthesis. The data presented here suggest that TNF-alpha may be an inhibitor of phospholipid metabolism in inflammatory tissue injury. These actions may be amplified because of the ability of metabolites of sphingomyelin to inhibit the pathways that should restore the normal ceramide-sphingomyelin homeostasis.
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Affiliation(s)
- J Vivekananda
- Department of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229-3900, USA
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Awasthi S, Vivekananda J, Awasthi V, Smith D, King RJ. CTP:phosphocholine cytidylyltransferase inhibition by ceramide via PKC-alpha, p38 MAPK, cPLA2, and 5-lipoxygenase. Am J Physiol Lung Cell Mol Physiol 2001; 281:L108-18. [PMID: 11404253 DOI: 10.1152/ajplung.2001.281.1.l108] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
In a companion paper (Vivekananda J, Smith D, and King RJ. Am J Physiol Lung Cell Mol Physiol 281: L98-L107, 2001), we demonstrated that tumor necrosis factor (TNF)-alpha inhibited the activity of CTP:phosphocholine cytidylyltransferase (CT), the rate-limiting enzyme in the de novo synthesis of phosphatidylcholine (PC), and that its actions were likely exerted through a metabolite of sphingomyelin. In this paper, we explore the signaling pathway employed by TNF-alpha using C2 ceramide as a cell-penetrating sphingolipid representative of the metabolites induced by TNF-alpha. We found that in H441 cells, as reported in other cell types, cytosolic phospholipase A2 (cPLA2) is activated by TNF-alpha. We also observed that the inhibiting action of C2 ceramide on CT requires protein kinase C-alpha, p38 mitogen-activated protein kinase, and cPLA2. The actions of C2 ceramide on CT activity can be duplicated by adding 2 microM lysoPC to these cells. Furthermore, we found that the effects of C2 ceramide are dependent on 5-lipoxygenase but that cyclooxygenase II is unimportant. We hypothesize that CT activity is inhibited by the lysoPC generated as a consequence of the activation of cPLA2 by protein kinase C-alpha and p38 mitogen-activated protein kinase. The other product of the activation of cPLA2, arachidonic acid, is a substrate for the synthesis of leukotrienes, which raise intracellular Ca2+ levels and complete the activation of cPLA2.
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Affiliation(s)
- S Awasthi
- Department of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229-3900, USA
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Awasthi S, Coalson JJ, Yoder BA, Crouch E, King RJ. Deficiencies in lung surfactant proteins A and D are associated with lung infection in very premature neonatal baboons. Am J Respir Crit Care Med 2001; 163:389-97. [PMID: 11179112 DOI: 10.1164/ajrccm.163.2.2004168] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Surfactant proteins A (SP-A) and D (SP-D) are important in the innate host defense against pathogenic microorganisms. A deficit in these proteins in premature infants, either because of immaturity or as a consequence of superimposed chronic lung disease (CLD), could increase their susceptibility to infection. The study reported here examined infection in CLD in the premature newborn baboon, and correlated it with the amounts of SP-A and SP-D in lung tissue and lavage fluid. Two groups of baboons were delivered prematurely, at 125 d gestational age (g.a.), and differed principally in whether they developed naturally acquired pulmonary infections and sepsis. Group I animals were ventilated with clinically appropriate oxygen for 6 d and 14 d without clinical incident. Group II animals were ventilated for 5 to 71 d, but differed from those in Group I in that most developed pulmonary infection and/or sepsis. In Group I animals, tissue pools of both SP-A and SP-D were equal to or exceeded those in adults, and lavage pools of SP-A increased progressively with the time of ventilation to about 35% of adult levels after 14 d. In contrast, most Group II animals had concentrations of lavage SP-A that were less than 20% of that in adult animals. A low concentration of lavage SP-A correlated with the release of interleukin-8, and with a high "infection index" based on histopathology, microbiologic cultures, and clinical indications of sepsis. Our data suggest that the amounts of SP-A and SP-D in lavage fluid are indicators of the risk of infection in the evolution of neonatal CLD. Deficits in the amount of lavage SP-A, even after 60 d of ventilation, may have inhibited the resolution of infection and thereby contributed to the developing injury among our Group II animals.
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Affiliation(s)
- S Awasthi
- Department of Physiology, University of Texas Health Science Center, and Southwest Foundation for Biomedical Research, San Antonio, Texas 78229-3900, USA
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Abstract
In this paper, we studied the signaling pathway used by hepatocyte growth factor/scatter factor (HGF) to stimulate mitosis. We show, using H441 cells, that 1) HGF activates membrane-associated protein kinase C (PKC); the activity is transient and peaks within 30 min; 2) HGF activates p42/p44 and p38 mitogen-activated protein kinases (MAPKs); maximum activity in both is within 10 min; and 3) the activation of neither p38 nor p42/p44 MAPK is dependent on PKC, indicating that HGF uses separate and nonintersecting pathways to activate these two classes of kinase. However, phorbol 12-myristate 13-acetate also activates both MAPKs as well as PKC, but this activation is abolished in cells pretreated with the PKC inhibitor GF-109203X. HGF was found to significantly increase [(3)H]thymidine incorporation within 5 h; peak thymidine incorporation was observed at 16 h. However, when cells were pretreated with inhibitors of p42/p44 (PD-98059), p38 (SB-203580), or PKC (GF-109203X, Gö-6983, or myristoylated inhibitor peptide(19-27)), HGF-induced thymidine uptake was diminished in a dose-dependent manner. Taken together, these results demonstrate that HGF activates PKC and both MAPKs simultaneously through parallel pathways and that the activation of the MAPKs does not depend on PKC. However, p38 and p42/p44 MAPKs and PKC may all be essential for HGF-induced proliferation of H441 cells.
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Affiliation(s)
- V Awasthi
- Department of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78284, USA
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Vivekananda J, Awasthi V, Awasthi S, Smith DB, King RJ. Hepatocyte growth factor is elevated in chronic lung injury and inhibits surfactant metabolism. Am J Physiol Lung Cell Mol Physiol 2000; 278:L382-92. [PMID: 10666123 DOI: 10.1152/ajplung.2000.278.2.l382] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Adult respiratory distress syndrome may incorporate in its pathogenesis the hyperplastic proliferation of alveolar epithelial type II cells and derangement in synthesis of pulmonary surfactant. Previous studies have demonstrated that hepatocyte growth factor (HGF) in the presence of serum is a potential mitogen for adult type II cells (R. J. Panos, J. S. Rubin, S. A. Aaronson, and R. J. Mason. J. Clin. Invest. 92: 969-977, 1993) and that it is produced by fetal mesenchymal lung cells (J. S. Rubin, A. M.-L. Chan, D. P. Botarro, W. H. Burgess, W. G. Taylor, A. C. Cech, D. W. Hirschfield, J. Wong, T. Miki, P. W. Finch, and S. A. Aaronson. Proc. Natl. Acad. Sci. USA 88: 415-419, 1991). In these studies, we expand on this possible involvement of HGF in chronic lung injury by showing the following. First, normal adult lung fibroblasts transcribe only small amounts of HGF mRNA, but the steady-state levels of this message rise substantially in lung fibroblasts obtained from animals exposed to oxidative stress. Second, inflammatory cytokines produced early in the injury stimulate the transcription of HGF in isolated fibroblasts, providing a plausible mechanism for the increased amounts of HGF seen in vivo. Third, HGF is capable of significantly inhibiting the synthesis and secretion of the phosphatidylcholines of pulmonary surfactant. Fourth, HGF inhibits the rate-limiting enzyme in de novo phosphatidylcholine synthesis, CTP:choline-phosphate cytidylyltransferase (EC 2.7.7.15). Our data indicate that fibroblast-derived HGF could be partially responsible for the changes in surfactant dysfunction seen in adult respiratory distress syndrome, including the decreases seen in surfactant phosphatidylcholines.
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Affiliation(s)
- J Vivekananda
- Department of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78284-7756, USA
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Awasthi S, Coalson JJ, Crouch E, Yang F, King RJ. Surfactant proteins A and D in premature baboons with chronic lung injury (Bronchopulmonary dysplasia). Evidence for an inhibition of secretion. Am J Respir Crit Care Med 1999; 160:942-9. [PMID: 10471623 DOI: 10.1164/ajrccm.160.3.9806061] [Citation(s) in RCA: 62] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Surfactant proteins A and D (SP-A and SP-D) are believed to participate in the pulmonary host defense and the response to lung injury. In order to understand the effects of prematurity and lung injury on these proteins, we measured the amounts of SP-A and SP-D and their mRNAs in three groups of animals: (1) nonventilated premature baboon fetuses; (2) neonatal baboons delivered prematurely at 140 d gestation age (ga) and ventilated with PRN O(2); (3) animals of the same age ventilated with 100% O(2) to induce chronic lung injury. In nonventilated fetuses, tissue and lavage SP-A were barely detectable in baboons of 125 and 140 d ga, but they equaled or exceeded adult SP-A concentrations (g/g lung dry wt) at 175 d (term gestation, 185 d). In contrast, SP-D was readily detectable in tissue and lavage at 125 and 140 d ga. When the baboons of 140 d ga were ventilated for 10 d with 100% oxygen to produce chronic lung injury, the tissue concentration of SP-A was five times greater than that of normal adults; SP-D 16-times greater. Despite the sizable tissue pools of SP-A and SP-D, however, lavage SP-A was only 7% of that of normal adults and lavage SP-D just equaled the amount in normal adults. Nevertheless, because SP-D is normally in much lower concentration than is SP-A, their total comprised less than 12% of the SP-A and SP-D found in the lavage of a healthy adult. The results indicate that in chronic lung injury, SP-A is significantly reduced in the alveolar space. SP-D concentration in lavage is about equal to that in normal adults, possibly because of the 16-fold excess in tissue, but the total collectin pool in lavage is still significantly reduced. Because these collectins may bind and opsonize bacteria and viruses, decrements in their amounts may present additional risk to those premature infants who require prolonged periods of ventilatory support.
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Affiliation(s)
- S Awasthi
- Department of Physiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
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Abstract
Intraspecific studies of red algae have relied on nuclear or plastid markers rather than mitochondrial data to address questions of systematics, biogeography or population genetics. In this study, primers were developed that spanned the noncoding intergenic region between the mitochondrial cytochrome oxidase subunit 2 and cytochrome oxidase subunit 3 genes. These primers were demonstrated to be successful on a variety of red algae in different orders: Gracilariales, Bonnemaisoniales and Ceramiales (families: Delesseriaceae, Ceramiaceae and Rhodomelaceae). Amplification products were between 450 and 320 bp in length, with variation in length shown among geographically distant isolates within a species. The region was variable within a single species, as shown for Bostrychia moritziana and B. radicans, and within populations of Caloglossa leprieurii. In the latter species, four mitochondrial haplotypes were observed in isolates from a single locality in Woolooware Bay, New South Wales, Australia. Analysis of hybrids between different mitochondrial haplotypes of B. moritziana revealed that the mitochondria are maternally inherited in this species. This is the first report of a mitochondrial marker that is variable within red algal populations and may lead to a better understanding of the population ecology of these important marine organisms.
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Affiliation(s)
- G C Zuccarello
- School of Biological Science, University of New South Wales, Sydney, Australia.
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Shingleton BJ, Chaudhry IM, O'Donoghue MW, Baylus SL, King RJ, Chaudhry MB. Phacotrabeculectomy: limbus-based versus fornix-based conjunctival flaps in fellow eyes. Ophthalmology 1999; 106:1152-5. [PMID: 10366085 DOI: 10.1016/s0161-6420(99)90252-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVE To compare the effectiveness of limbus-based and fornix-based conjunctival flaps in fellow eyes of the same patients undergoing combined trabeculectomy with phacoemulsification. DESIGN Prospective, nonrandomized comparative (fellow eye) study. PARTICIPANTS Forty-four patients and 88 fellow eyes. INTERVENTION Limbus-based conjunctival flap with phacotrabeculectomy was performed in one eye, and a fornix-based conjunctival flap with phacotrabeculectomy was performed in the fellow eyes of the same patients. The patients were followed up for a minimum of 1 year postoperatively for each eye. MAIN OUTCOME MEASURES Preoperative and postoperative visual acuity, intraocular pressure, number of antiglaucoma medications, interventions, and complications were studied. RESULTS At last follow-up visit, visual acuity improved to 20/40 or better in 88.6% of the limbus-based group and 79.6% of the fornix-based group. Preoperatively, the mean intraocular pressure in the limbus-based group was 21.4 +/- 4.8 mmHg on a mean of 2.4 +/- 1.2 glaucoma medications; in the fornix-based group, it was 21.4 +/- 4.3 mmHg on a mean of 2.3 +/- 1.1 medications. Mean intraocular pressure decreased to 15.3 +/- 3.3 mmHg (P < 0.01) on a mean of 0.2 +/- 0.5 glaucoma medications in the limbus-based group (P < 0.01). In the fornix-based group, mean intraocular pressure at last follow-up visit decreased to 15.3 +/- 4.7 mmHg (P < 0.01) on a mean of 0.2 +/- 0.5 medications (P < 0.01). Postoperative interventions and complications were not statistically different between the two groups. CONCLUSION With phacotrabeculectomy, limbus-based and fornix-based conjunctival flaps are equally effective in improving visual acuity and lowering intraocular pressure. This variation in conjunctival flap orientation was equally effective in fellow eyes of the same patients, with no difference in postoperative complications or outcomes.
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Affiliation(s)
- B J Shingleton
- Ophthalmic Consultants of Boston, Center for Eye Research, Massachusetts 02114, USA.
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Abstract
BACKGROUND AND RATIONALE Studies in younger patients with panic disorder suggest greater somatization compared to similarly aged normal controls. Thus, we compared the degree of somatization in young versus older female patients with panic disorder to ascertain whether similarly high levels of somatization exist in older panic disorder patients. METHOD Community-dwelling subjects were recruited for clinical trials for panic disorder and met Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R) criteria for panic disorder as a primary diagnosis. Our sample (N = 64) contained 42 younger females (< 55 years of age; age range 21-54, mean age 34.6) who were compared to 22 older females (> or = 55 years of age; age range 55-73, mean age 60.8). Subjects were evaluated at baseline using the Self-Report Inventory for Somatic Symptoms (SISS). Statistical analysis of total somatization disorder scores (TSDS) was accomplished by t-tests for independent groups. RESULTS Older patients showed statistically significantly higher total somatization disorder scores (TSDS) (X = 11.54, SD = 7.45) than did younger patients (X = 8.07, SD = 4.77; t(62) = 2.27, p = < 0.05). CONCLUSION Our results are suggestive of a higher degree of somatization in older compared to younger female panic disorder patients.
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Affiliation(s)
- J I Sheikh
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA 94305-5723, USA
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Abebe HM, Seidler RJ, Lindow SE, Short KA, Clark E, King RJ. Relative expression and stability of a chromosomally integrated and plasmid-borne marker gene fusion in environmentally competent bacteria. Curr Microbiol 1997; 34:71-8. [PMID: 9003582 DOI: 10.1007/s002849900147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
A xylE-iceC transcriptional fusion was created by ligatinga DNA fragment harboring the cloned xylE structural gene from the TOL plasmid of Pseudomonas putida mt-2 into the cloned iceC gene of Pseudomonas syringae Cit7. This fusion construct was integrated into the chromosome of Pseudomonas syringae Cit7 by homologous recombination. Both cis-merodiploid strain Cit7m17 and marker exchange strain Cit7h69 produced the XylE gene product, catechol2,3-dioxygenase. Strain Cit7m17, in which XylE was influenced by transcription initiated by the amp promoter on pBR322, exhibited XylE activity in stationary phase at levels about 45 times higher than strain Cit7h69, permitting detection of 10(7) Cit7m17 cells in the spectrophotometric assay and 10(3) cells in HPLC measurements. The stability of xylE in both Cit7m17 and Cit7h69 was compared with maintenance of xylE in several plasmid-borne constructs in P.aeruginosa, Erwinia herbicola, and Escherichia coli. Only the xylE-iceC fusion in the chromosome of Cit7h69 and Cit7m17was stable in plate assays over the course of these studies. Even though strain Cit7h69 stably expressed xylE, the low level of expression precludes its use in direct spectrophotometric or HPLC assays as a means for detecting cells in environmental samples. However, expression of xylEin Cit7h69 is sufficient for identification of colonies harboring this marker gene which is useful in laboratory plate assays, and as a marker gene system for the detection of environmentally-competent strains chromosomally taggedwith xylE for use in autecological studies.
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Affiliation(s)
- H M Abebe
- ManTech Environmental Technology Inc., USEPA Environmental Research Laboratory, 200 SW 35th St., Corvallis, OR 97333, USA
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Devaja O, King RJ, Papadopoulos A, Raju KS. Heat-shock protein 27 (HSP27) and its role in female reproductive organs. EUR J GYNAECOL ONCOL 1997; 18:16-22. [PMID: 9061315] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Heat shock, other environmental and pathophysiological stress stimulate synthesis of heat shock proteins (HSP) family. These proteins enable the cell to survive and recover from stressful conditions but as yet incompletely understood mechanisms. Beside its role in thermotolerance, it plays a role in cell proliferation and drug resistance which makes this protein of special clinical interest. Published data suggest that HSP27 is related to estrogen in breast and to estrogen and progesterone in the endometrium. It has been shown that some but not all estrogen positive breast cancers express HSP27, and overexpression has been associated with the degree of tumor differentiation, and response to hormonal therapy (Tamoxifen). In endometrial carcinomas, the presence of HSP27 is correlated with the degree of tumor differentiation as well as with the presence of oestrogen and progesterone receptors. Studies suggest that detection of HSP27 in endometrial carcinoma, should not be considered as a method for identifying hormone-responsive tumors or indicator or presence of estradiol receptors. In the cervix HSP27 is a marker of cell differentiation, and is highly expressed during the process of squamous metaplasia. Expression in the ovary is still controversial and requires further confirmation of recent observations.
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Affiliation(s)
- O Devaja
- UMDS, Department of Obstetrics and Gynaecology St. Thomas' Hospital, London
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Peters C, Balthazor M, Shapiro EG, King RJ, Kollman C, Hegland JD, Henslee-Downey J, Trigg ME, Cowan MJ, Sanders J, Bunin N, Weinstein H, Lenarsky C, Falk P, Harris R, Bowen T, Williams TE, Grayson GH, Warkentin P, Sender L, Cool VA, Crittenden M, Packman S, Kaplan P, Lockman LA, Anderson J, Krivit W, Dusenbery K, Wagner J. Outcome of unrelated donor bone marrow transplantation in 40 children with Hurler syndrome. Blood 1996; 87:4894-902. [PMID: 8639864] [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: 02/01/2023] Open
Abstract
Long-term survival and improved neuropsychological function have occurred in selected children with Hurler syndrome (MPS I H) after successful engraftment with genotypically matched sibling bone marrow transplantation (BMT). However, because few children have HLA-identical siblings, the feasibility of unrelated donor (URD) BMT as a vehicle for adoptive enzyme therapy was evaluated in this retrospective study. Forty consecutive children (median, 1.7 years; range, 0.9 to 3.2 years) with MPS I H received high-dose chemotherapy with or without radiation followed by BMT between January 27, 1989 and May 13, 1994. Twenty-five of the 40 patients initially engrafted. An estimated 49% of patients are alive at 2 years, 63% alloengrafted and 37% autoengrafted. The probability of grade II to IV acute graft-versus-host disease (GVHD) was 30%, and the probability of extensive chronic GVHD was 18%. Eleven patients received a second URD BMT because of graft rejection or failure. Of the 20 survivors, 13 children have complete donor engraftment, two children have mixed chimeric grafts, and five children have autologous marrow recovery. The BM cell dose was correlated with both donor engraftment and survival. Thirteen of 27 evaluable patients were engrafted at 1 year following URD BMT. Neither T-lymphocyte depletion (TLD) of the bone marrow nor irradiation appeared to influence the likelihood of engraftment. Ten of 16 patients alive at 1 year who received a BM cell dose greater than or equal to 3.5 x 10(8) cells/kg engrafted, and 62% are estimated to be alive at 3 years. In contrast, only 3 of 11 patients receiving less than 3.5 x 10(8) cells/kg engrafted, and 24% are estimated to be alive at 3 years (P = .05). The mental developmental index (MDI) was assessed before BMT. Both baseline and post-BMT neuropsychological data were available for 11 engrafted survivors. Eight children with a baseline MDI greater than 70 have undergone URD BMT (median age, 1.5 years; range, 1.0 to 2.4 years). Of these, two children have had BMT too recently for developmental follow-up. Of the remaining six, none has shown any decline in age equivalent scores. Four children are acquiring skills at a pace equal to or slightly below their same age peers; two children have shown a plateau in learning or extreme slowing in their learning process. For children with a baseline MDI less than 70 (median age, 2.5 years; range, 0.9 to 2.9 years), post-BMT follow-up indicated that two children have shown deterioration in their developmental skills. The remaining three children are maintaining their skills and are adding to them at a highly variable rate. We conclude that MPS I H patients with a baseline MDI greater than 70 who are engrafted survivors following URD BMT can achieve a favorable long-term outcome and improved cognitive function. Future protocols must address the high risk of graft rejection or failure and the impact of GVHD in this patient population.
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Affiliation(s)
- C Peters
- Department of Pediatrics University of Iowa, Iowa City 52242, USA
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Boyfield I, Brown TH, Coldwell MC, Cooper DG, Hadley MS, Hagan JJ, Healy MA, Johns A, King RJ, Middlemiss DN, Nash DJ, Riley GJ, Scott EE, Smith SA, Stemp G. Design and synthesis of 2-naphthoate esters as selective dopamine D4 antagonists. J Med Chem 1996; 39:1946-8. [PMID: 8642552 DOI: 10.1021/jm960017l] [Citation(s) in RCA: 42] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Affiliation(s)
- I Boyfield
- SmithKline Beecham Pharmaceuticals, Harlow, Essex, U.K
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Mostaert AS, Orlovich DA, King RJ. Ion compartmentation in the red alga Caloglossa leprieurii in response to salinity changes: freeze-substitution and X-ray microanalysis. New Phytol 1996; 132:513-519. [PMID: 26763647 DOI: 10.1111/j.1469-8137.1996.tb01871.x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The elemental content of cell compartments in the euryhaline red macroalga Caloglossa leprieurii (Montague) J. Agardh subjected to different salinities, was determined by X-ray microanalysis of freeze-substituted thin sections. Duty are given for three compartments; cell wall, vacuole and cytoplasm. The most abundant elements detected were potassium, sodium and chlorine, with a Sulphur peak in the cell wall indicating the presence of sulphated polysaccharides. With salinity upshock the cytoplasm is maintained low in K, Na and Cl, whereas in the vacuoles they increased. High levels of K and Na located in the cell wall reflect cation binding to negatively charged polysaccharides. Hyposaline shock resulted in decreased K, Na and Cl levels in all compartments, though K was retained in the cytoplasm. Results are discussed with regard to the role of ion compartmentation in the salt tolerance of this alga, and the cation exchange properties of the cell wall are emphasized.
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Affiliation(s)
- A S Mostaert
- School of Biological Science, The University of New South Wales, Sydney, NSW 2052, AustraliaPlant Cell Biology Research Centre, School of Botany, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - D A Orlovich
- School of Biological Science, The University of New South Wales, Sydney, NSW 2052, AustraliaPlant Cell Biology Research Centre, School of Botany, The University of Melbourne, Parkville, Victoria 3052, Australia
| | - R J King
- School of Biological Science, The University of New South Wales, Sydney, NSW 2052, AustraliaPlant Cell Biology Research Centre, School of Botany, The University of Melbourne, Parkville, Victoria 3052, Australia
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Thomas SA, Brown IL, Hollins GW, Hocken A, Kirk D, King RJ, Leake RE. Detection and distribution of heat shock proteins 27 and 90 in human benign and malignant prostatic tissue. Br J Urol 1996; 77:367-72. [PMID: 8814840 DOI: 10.1046/j.1464-410x.1996.09058.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE To determine whether it is possible to predict the behaviour of prostate tumours by identifying cellular characteristics, specifically specific heat shock proteins (HSPs). MATERIALS AND METHODS An immunohistochemical study staining for HSP 27 and 90 was undertaken on 15 benign and 13 malignant samples of freshly frozen prostatic tissue obtained from patients with a similar age range in each group (benign, mean age 71.6 years, range 61-86; malignant, mean age 72.7 years, range 58-87). Gleason scores for the tumours ranged from 2 to 8. RESULTS Consistent patterns of cytoplasmic staining were seen in all sections of tissue from benign prostatic hyperplasia (BPH). The stroma stained strongly positive for HSP 27, but negatively for HSP 90 and glandular epithelium showed positive apical staining for both HSPs. Stromal patterns in prostatic carcinoma tissue were similar to that of BPH tissue for both HSP 27 and 90. Areas of prostatic intra-epithelial neoplasia stained as strongly as did adjacent areas of BPH. For HSP 27, there was varied staining of individual epithelial cells, suggesting cellular heterogeneity, with an apparent reduction in staining with increasing Gleason score and invasiveness. For HSP 90, this pattern was less marked, with a predominance for positive staining throughout all grades of carcinoma. CONCLUSIONS The distribution of HSPs, primarily HSP 27, may aid in identifying different cell populations within prostatic carcinomas and thus help forecast biological behaviour.
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Affiliation(s)
- S A Thomas
- West Glasgow Hospitals University NHS Trust, UK
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King RJ, Flowers C. Neurochemical predictors and correlates of vulnerability to cocaine use. NIDA Res Monogr 1996; 159:228-63; discussion 264-8. [PMID: 8784861 DOI: 10.1037/e495692006-020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Affiliation(s)
- R J King
- Department of Psychiatry, Stanford University Medical School, CA 94305, USA
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Abstract
Fifty eight large bowel adenocarcinomas and 20 adenomas were studied immunohistochemically, using fresh frozen tissue sections, with regard to lymphocyte subpopulations (CD3, CD4, CD8, CD19, and CD20) in the inflammatory infiltrate and to expression of human leucocyte antigens (HLA-ABC, HLA-A2, and HLA-DR). The findings were related to differentiation and Duke's stage of carcinoma. The inflammatory infiltrate was found to have a phenotype that remained constant irrespective of the intensity of the inflammation. CD4 and CD3 positive cells predominated with fewer CD8 positive cells and a scanty diffuse CD19/20 positive cell population. CD19/20 follicular aggregates were common at the advancing margin of the carcinomas. There was no significant association with Duke's stage, differentiation or HLA status. HLA changes (ABC loss, A2 loss, and DR gain) were associated with differentiation, being more common and more extensive in poorly differentiated carcinomas. HLA-A2 loss was also associated with stage of progression of carcinoma. Inflammation associated with adenomas was found to have a similar phenotype to that associated with carcinomas. HLA changes in adenomas were uncommon, being seen in only one of our 20 cases.
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Affiliation(s)
- P A Jackson
- Department of Histopathology, Royal County Hospital, Guildford, Surrey
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Langdon SP, Rabiasz GJ, Hirst GL, King RJ, Hawkins RA, Smyth JF, Miller WR. Expression of the heat shock protein HSP27 in human ovarian cancer. Clin Cancer Res 1995; 1:1603-9. [PMID: 9815962] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
The relationship of the heat shock protein HSP27 in ovarian cancer to several biological and clinical parameters was investigated in a series of primary tumors and cell lines. Analysis of 72 primary tumors (54 malignant, 5 borderline, and 13 benign neoplasms) indicated that malignant tumors expressed higher HSP27 concentrations than benign tumors (median values, 0.56 versus 0.25 ng/microgram cytosolic protein; P = 0.032). Tumors from patients with advanced stage (stages II, III, or IV) disease contained significantly higher HSP27 concentrations than tumors from stage I patients (P = 0.018), and an HSP27 content >2.0 ng/microgram cytosolic protein was associated with reduced survival (P = 0.03). Tumors that had demonstrated progressive growth after chemotherapy had a significantly higher HSP27 content than tumors that were static or responsive (P = 0.022). These data indicate that HSP27 is associated with more aggressive malignant ovarian disease and with inherent resistance to chemotherapy. Concentrations of HSP27 were also correlated with indicators of estrogen sensitivity. Therefore, the HSP27 concentration correlated with the estrogen receptor (all tumors, P = 0.0014; malignant tumors only, P = 0.047) but not with the progesterone receptor concentration. Analysis of ovarian cancer cell lines in vitro and in vivo indicated that the HSP27 content was higher in cell lines that were estrogen receptor rich and whose growth was modulated by estrogen as compared with those that were not. Additionally, two estrogen receptor-rich ovarian carcinoma lines demonstrated a small but significant decrease in HSP27 levels in response to 17beta-estradiol in culture. These results suggest that HSP27 may help identify tumors responsive to estrogens.
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Affiliation(s)
- S P Langdon
- Imperial Cancer Research Fund Medical Oncology Unit, Western General Hospital, Edinburgh EH4 2XU, United Kingdom
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King RJ, Coalson JJ, deLemos RA, Gerstmann DR, Seidner SR. Surfactant protein-A deficiency in a primate model of bronchopulmonary dysplasia. Am J Respir Crit Care Med 1995; 151:1989-97. [PMID: 7767549 DOI: 10.1164/ajrccm.151.6.7767549] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
Pathophysiologic and biochemical (surfactant protein and phospholipid) features were studied in a baboon model of hyperoxia-induced bronchopulmonary dysplasia (BPD) and superimposed infection. A total of 20 baboons were delivered by hysterotomy at 76% of gestation (140 d of gestational age) and were randomized into four groups, consisting of two control and two injury groups. Animals constituting a group that was managed on a pro re nata (PRN) basis were ventilated with clinically appropriate oxygen for the 16-d experimental period and served as ventilatory controls. They underwent an initial period of 42 h during which they demonstrated evidence of hyaline membrane disease (HMD), but began recovery at 42 h and by Day 6 appeared to have maximally recovered. At the time of these animals' killing, concentrations of surfactant proteins, messenger ribonucleic acids (mRNAs), and phospholipids were similar to those of normal adult baboons. Gestational control animals were delivered and killed without ventilation at 156 d gestational age. Surfactant protein-A (SP-A) and phospholipid concentrations in these animals' lavage fluids were about 10% of those in the PRN animals. Animals with BPD were subjected to positive-pressure ventilation and an FIO2 of 1.0 for 11 d, followed by 5 d of an FIO2 sufficient to maintain PaO2 at 40 to 50 mm Hg. The animals with BPD and infection were treated in the same way as the BPD group, except that 10(8) Escherichia coli were instilled intratracheally on Day 11, concomitantly with the reduction in FIO2.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- R J King
- Department of Physiology, University of Texas Health Science Center at San Antonio 78284-7756, USA
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Coalson JJ, King RJ, Yang F, Winter V, Whitsett JA, Delemos RA, Seidner SR. SP-A deficiency in primate model of bronchopulmonary dysplasia with infection. In situ mRNA and immunostains. Am J Respir Crit Care Med 1995; 151:854-66. [PMID: 7881683 DOI: 10.1164/ajrccm/151.3_pt_1.854] [Citation(s) in RCA: 42] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The surfactant protein secretory cells in airway and alveolar epithelium were studied in premature baboons with bronchopulmonary dysplasia and superimposed infection. PRN animals were delivered by hysterotomy at 140 d gestational age and ventilated on clinically appropriate oxygen for a 16-d experimental period. To assess 0 time and sacrifice time gestational parameters, 140 and 156 d were studied. BPD animals were delivered at 140 d and ventilated with positive-pressure ventilation and an FIO2 of 1.0 for 11 d followed by 5 d of oxygen sufficient to maintain PAO2 at 40 to 50 mm Hg. BPD-infected animals were comparably ventilated and treated like the BPD group except that 10(8) E. coli organisms were endotracheally instilled on Day 11. In situ hybridization studies for mRNA expression of SP-A, SP-B, and SP-C revealed that an SP-A mRNA deficiency, present at 140 d, persisted in the BPD and BPD-infected groups, whereas SP-A mRNA was abundant in PRN and 156 d gestation control groups. SP-B and SP-C mRNA expression in the two hyperoxically injured groups was particularly extensive in cells around peribronchiolar and perivasicular sites. Immunostaining with SP-A, SP-B, and SP-C antibodies showed variable staining patterns. The study clearly demonstrates that a deficiency of SP-A mRNA expression persists in chronic lung injury and that variable protein staining patterns are manifested depending upon the underlying pathology.
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Affiliation(s)
- J J Coalson
- Department of Pathology, University of Texas Health Science Center at San Antonio
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Coalson JJ, King RJ, Yang F, Winter V, Whitsett JA, Delemos RA, Seidner SR. SP-A deficiency in primate model of bronchopulmonary dysplasia with infection. In situ mRNA and immunostains. Am J Respir Crit Care Med 1995. [DOI: 10.1164/ajrccm.151.3.7881683] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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