Dataset Information

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery.

ABSTRACT: The location and type of adipose tissue is an important factor in metabolic syndrome. A database of picture archiving and communication system (PACS) derived abdominal computerized tomography (CT) images from a large health care provider, Geisinger, was used for large-scale research of the relationship of volume of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) with obesity-related diseases and clinical laboratory measures. Using a "greedy snake" algorithm and 2,545 CT images from the Geisinger PACS, we measured levels of VAT, SAT, total adipose tissue (TAT), and adipose ratio volumes. Sex-combined and sex-stratified association testing was done between adipose measures and 1,233 disease diagnoses and 37 clinical laboratory measures. A genome-wide association study (GWAS) for adipose measures was also performed. SAT was strongly associated with obesity and morbid obesity. VAT levels were strongly associated with type 2 diabetes-related diagnoses (p?=?1.5?×?10-58), obstructive sleep apnea (p?=?7.7?×?10-37), high-density lipoprotein (HDL) levels (p?=?1.42?×?10-36), triglyceride levels (p?=?1.44?×?10-43), and white blood cell (WBC) counts (p?=?7.37?×?10-9). Sex-stratified tests revealed stronger associations among women, indicating the increased influence of VAT on obesity-related disease outcomes particularly among women. The GWAS identified some suggestive associations. This study supports the utility of pursuing future clinical and genetic discoveries with existing imaging data-derived adipose tissue measures deployed at a larger scale.

SUBMITTER: Cha EDK

PROVIDER: S-EPMC6180992 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery.

Cha Elliot D K EDK Veturi Yogasudha Y Agarwal Chirag C Patel Aalpen A Arbabshirani Mohammad R MR Pendergrass Sarah A SA

Journal of obesity 20180927

The location and type of adipose tissue is an important factor in metabolic syndrome. A database of picture archiving and communication system (PACS) derived abdominal computerized tomography (CT) images from a large health care provider, Geisinger, was used for large-scale research of the relationship of volume of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) with obesity-related diseases and clinical laboratory measures. Using a "greedy snake" algorithm and 2,545 CT image ...[more]

PMID: 30363675

Similar Datasets

Project description:BACKGROUND:There is significant promise in analyzing physician patient-sharing networks to indirectly measure care coordination, yet it is unknown whether these measures reflect patients' perceptions of care coordination. OBJECTIVE:To evaluate the associations between network-based measures of care coordination and patient-reported experience measures. DESIGN:We analyzed patient-sharing physician networks within group practices using data made available by the Centers for Medicare and Medicaid Services. SUBJECTS:Medicare beneficiaries who provided responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Survey in 2016 (data aggregated by physician group practice made available through the Physician Compare 2016 Group Public Reporting). MAIN MEASURES:The outcomes of interest were patient-reported experience measures reflecting aspects of care coordination (CAHPS). The predictor variables of interests were physician group practice density (the number of physician pairs who share patients adjusting for the total number of physician pairs) and clustering (the extent to which sets of three physicians share patients). KEY RESULTS:Four hundred seventy-six groups had patient-reported measures available. Patients' perception of "Clinicians working together for your care" was significantly positively associated with both physician group practice density (Est (95?%?CI)?=?5.07(0.83,?9.33),?p?=?0.02) and clustering (Est (95?%?CI)?=?3.73(1.01,?6.44),?p?=?0.007). Physician group practice clustering was also significantly positively associated with "Getting timely care, appointments, and information" (Est (95?%?CI)?=?4.63(0.21,?9.06), p?=?0.04). CONCLUSIONS:This work suggests that network-based measures of care coordination are associated with some patient-reported experience measures. Evaluating and intervening on patient-sharing networks may provide novel strategies for initiatives aimed at improving quality of care and the patient experience.

Dataset Information

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery.

Publications

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets