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Chronic Egfr Decline

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December 23, 2021
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Donor-derived cell-free DNA indicative of allograft injury, eGFR decline

Donor-derived cell-free DNA was determined to be a leading indicator of allograft injury, eGFR decline, formation of de novo donor-specific antibodies and subclinical rejection, according to published data.

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December 09, 2021
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Asymptomatic pyuria acts as a predictor of autosomal dominant polycystic kidney disease

The incidence of asymptomatic pyuria is correlated with rapid decline in kidney function irrespective of the autosomal dominant polycystic kidney disease genotype and cystic growth.

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November 23, 2021
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Bardoxolone methyl increases eGFR rates compared with placebo

The investigational drug, bardoxolone methyl preserved kidney function in patients and provided eGFR benefits for those with chronic kidney disease, according to an oral abstract presentation given as part of ASN Kidney Week.

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March 11, 2021
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Thyroid-stimulating hormone level increases as kidney function declines

Defining hypothyroidism by thyroid-stimulating hormone level, researchers found the condition was more common in patients with worsening levels of kidney function (as determined by eGFR slope), as well as in those who had proteinuria.

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December 03, 2020
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Remdesivir shows benefits for patients with lower eGFRs, COVID-19

Following hospitalization with COVID-19, remdesivir improved kidney function in most patients with eGFRs of less than 30 mL/min/1.73 m2 and was generally well-tolerated, according to study findings.

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November 13, 2020
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Study: Faster kidney function decline in Black, Hispanic patients doubles ESKD risk

Study findings suggest Black and Hispanic patients are at greater risk for developing kidney failure due to faster decline in kidney function following chronic kidney disease onset vs. white patients.

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December 16, 2019
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Machine learning model may better predict kidney function decline in type 2 diabetes

WASHINGTON — Research presented at ASN Kidney Week suggested a machine learning model that combines blood biomarkers and electronic health record data performed better in predicting rapid kidney function decline in patients with type 2 diabetes than other commonly used models.