{
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"(uncertainty)= \n",
"# Living Kidney Donors \n",
"\n",
"\n",
"\n",
" The distinction between static and dynamic data presentation in scientific literature is stark: nearly all peer-reviewed clinical and public health research findings rely on static visualizations of pre-determined cohorts. If personalized medicine is to fulfill its promise, dynamic visualization—such as the interactive model above—must become the standard for conveying information to patients, care providers, and public health practitioners.+ Expand
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" \n",
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"Personalized Risk Estimates
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"
\n", " The demographic shift toward older kidney donors necessitates improved characterization of risks to enhance consent processes and outcomes.\n", "\n", "The number of older adults (≥50 years) undergoing live donor nephrectomy has quadrupled over the last two decades, a trend expected to persist given demographic shifts, updates in kidney transplant allocation, and changes to Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Despite this increase, critical knowledge gaps persist in understanding how older donors cope with the physical stress of nephrectomy, particularly the role of age-related kidney changes (glomerular senescence) and the body’s ability to adapt following a 50% nephron mass loss. Approximately 80% of older donors experience a post-donation GFR <60 ml/min/1.73m², meeting the definition of chronic kidney disease (CKD), placing them at increased risk of frailty and hospitalization as they progress toward CKD. However, no studies have identified clinical signatures of resiliency in this unique population, even as nephrectomy directly impacts their renal system and overall health." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{raw} html\n", "\n", "\n", "
\n", " — SRTR\n", "