Mayo Clinic proceedings
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Mayo Clinic proceedings · Apr 2022
Health Care Expenditures Attributable to Primary Care Physician Overall and Burnout-Related Turnover: A Cross-sectional Analysis.
To estimate the excess health care expenditures due to US primary care physician (PCP) turnover, both overall and specific to burnout. ⋯ Turnover of PCPs, including that due to burnout, is costly to public and private payers. Efforts to reduce physician burnout may be considered as one approach to decrease US health care expenditures.
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Mayo Clinic proceedings · Apr 2022
CSF Kappa Free Light Chains: Cutoff Validation for Diagnosing Multiple Sclerosis.
To determine and validate a cerebrospinal fluid (CSF) κ (KCSF) value statistically comparable to detection of CSF-specific oligoclonal bands (OCB) to support the diagnosis of multiple sclerosis (MS). ⋯ The KCSF value of 0.1 mg/dL is a valid alternative to OCB testing, offering a standardized quantitative measure, eliminating human error, reducing cost and turnaround time, with no significant difference in sensitivity and specificity. This study provides class I evidence that a KCSF value of 0.1 mg/dL can be used in place of OCB testing to support the diagnosis of MS.
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Mayo Clinic proceedings · Apr 2022
Association Between Personal Activity Intelligence and Mortality: Population-Based China Kadoorie Biobank Study.
To prospectively investigate the association between personal activity intelligence (PAI) - a novel metabolic metric which translates heart rate during physical activity into a simple weekly score - and mortality in relatively healthy participants in China whose levels and patterns of physical activity in addition to other lifestyle factors are different from those in high-income countries. ⋯ Among relatively healthy Chinese adults, the PAI metric was inversely associated with CVD and all-cause mortality, highlighting the generalizability of the score in different races, ethnicities, and socioeconomic strata.
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Mayo Clinic proceedings · Apr 2022
An Electronic Health Record-Compatible Model to Predict Personalized Treatment Effects From the Diabetes Prevention Program: A Cross-Evidence Synthesis Approach Using Clinical Trial and Real-World Data.
To develop an electronic health record (EHR)-based risk tool that provides point-of-care estimates of diabetes risk to support targeting interventions to patients most likely to benefit. ⋯ The Tufts-Predictive Analytics and Comparative Effectiveness DPP Risk model is an EHR-compatible tool that might support targeted diabetes prevention to more efficiently realize the benefits of the DPP interventions.