Hayley V McMahon, Leslie Serrano, Teja Vyavahare, Indya Hairston, Sequoia Ayala, Zainab Jah, Tiffany Hailstorks, Dázon D Diallo, Elizabeth A Mosley
My Health in My Hands: Improving Medication Abortion Knowledge and Closing Disparities with a Community-Led Media Intervention
Health equity
cognitive function impairment cfi common patients chronic kidney disease ckd significantly impacts treatment adherence quality life study aims create simplified nomogram early cfi risk detection data obtained national health nutrition examination survey cycles spanning 1999 2002 2011 2014 stepwise logistic regression used select variables construct cfi risk prediction model furthermore cstatistic brier score bs assessed model performance additionally kaplanmeier survival curves utilised assess risk groupdeath prognosis relationships 545 participants ckd model development cohort total 146 268 cfi final model included variables age race education annual family income body mass index estimated glomerular filtration rate serum albumin uric acid model cstatistic 0808 95 confidence interval ci 07690847 bs 0149 furthermore 5fold crossvalidation internal cstatistic 0764 interquartile range 07630807 bs 0154 upon external validation models cstatistic decreased 0752 95 ci 06540850 bs increased 0182 kaplanmeier survival curves demonstrated intermediatetohighrisk participants shorter overall survival time lowrisk participants logrank test p 000042 study established effective nomogram predicting cfi patients ckd used early detection cfi guide treatment patients ckd