title: Hospital performance and differences by kidney function in the use of recommended therapies after non-ST-elevation acute coronary syndromes.
abstract: BACKGROUND
  Chronic kidney disease (CKD) is associated with an increased risk of cardiac events and death; however, underuse of guideline-recommended therapies is widespread. The extent to which hospital performance affects the care of patients with CKD and non-ST-segment elevation acute coronary syndromes (NSTE ACSs) is unknown.
  
  
  METHODS
  Observational cohort.
  
  
  METHODS
  81,374 patients with NSTE ACSs treated at 327 US hospitals.
  
  
  METHODS
  Hospital performance, measured by quartiles of composite adherence to American Heart Association class I guidelines for therapy acutely (aspirin, beta-blockers, clopidogrel, heparin, and glycoprotein IIb/IIIa inhibitors) and at discharge (aspirin, clopidogrel, angiotensin-converting enzyme inhibitors, and lipid-lowering agents) in eligible patients.
  
  
  METHODS
  Use of each American Heart Association class I acute and discharge therapy stratified by continuous estimated glomerular filtration rate (eGFR). Multivariable models were adjusted for demographics, clinical factors, and hospital features.
  
  
  RESULTS
  Better-performing hospitals had lower prescribing rates for most therapies (5 of 9) with lower levels of kidney function, whereas lower-performing hospitals were more likely to have similar prescribing rates across the eGFR spectrum, suggesting that prescribing patterns at these hospitals were insensitive to differences in eGFR.
  
  
  CONCLUSIONS
  Observational design, selection bias of study cohort.
  
  
  CONCLUSIONS
  Patients with lower levels of kidney function admitted with NSTE ACSs are less likely to receive evidence-based therapies. Treatment disparities related to CKD are most evident at top-performing hospitals.
authors.affiliation: Division of Nephrology, Duke University Medical Center, Durham, NC, USA. patel080@mc.duke.edu
authors.forename: Uptal D
authors.initials: UD
authors.lastname: Patel
authors.forename: Fang-Shu
authors.initials: FS
authors.lastname: Ou
authors.forename: E Magnus
authors.initials: EM
authors.lastname: Ohman
authors.forename: W Brian
authors.initials: WB
authors.lastname: Gibler
authors.forename: Charles V
authors.initials: CV
authors.lastname: Pollack
authors.forename: Eric D
authors.initials: ED
authors.lastname: Peterson
authors.forename: Matthew T
authors.initials: MT
authors.lastname: Roe
mesh_terms: D054058:Acute Coronary Syndrome / Q000188:drug therapy* / Q000209:etiology*; D000368:Aged; D002908:Chronic Disease; D005260:Female; D019983:Guideline Adherence / Q000706:statistics & numerical data*; D006761:Hospitals / Q000592:standards*; D006801:Humans; D007674:Kidney Diseases / Q000150:complications*; D008297:Male; D011787:Quality of Health Care