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Predictive modeling using a nationally representative database to identify patients at risk of developing microalbuminuria.

Lorenzo Villa ZapataTerri WarholakMarion SlackDaniel MaloneAnita MurckoGeorge RungerMichael Levengood
Published in: International urology and nephrology (2015)
The predictive model provides new evidence about variables related with MA and may be used by clinicians to identify at-risk patients and to tailor treatment. The risk score developed may allow clinicians to measure a patient's MA risk.
Keyphrases
  • end stage renal disease
  • palliative care
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • case report
  • patient reported
  • drug induced
  • electronic health record