Fahad Saeed1, Malik M Adil, Faraz Khursheed, Usama A Daimee, Lionel A Branch, Gabriel A Vidal, Adnan I Qureshi. 1. From the Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, OH (F.S.); Zeenat Qureshi Stroke Institute, St. Cloud, MN (M.M.A., A.I.Q.); Department of Neurology, Louisiana State University Health Science Center, New Orleans, LA (F.K., L.A.B.); Department of Medicine, University of Rochester Medical Center, Rochester, NY (U.A.D.); and Department of Neurology, Ochsner Clinic Foundation, New Orleans, LA (G.A.V.).
Abstract
BACKGROUND AND PURPOSE: Acute renal failure (ARF) in setting of acute ischemic stroke (AIS) is associated with worse outcome. We sought to determine the prevalence of ARF and effect on outcomes of patients with AIS. METHODS: Data from all patients admitted to US hospitals between 2002 and 2010 with a primary discharge diagnosis of ischemic stroke and secondary diagnosis of ARF were included. The effect of ARF on rates of intracerebral hemorrhage and discharge outcomes was analyzed after adjusting for potential confounders using logistic regression analysis. RESULTS: Of 7,068,334 patients with AIS, 372,223 (5.3%) had ARF during hospitalization. Dialysis was required in 2364 (0.6%) of 372,223 patients. Patients with AIS with ARF had higher rates of moderate to severe disability (41.3% versus 30%; P<0.0001), intracerebral hemorrhage (1.0% versus 0.5%; P<0.0001), and in-hospital mortality (8.4% versus 2.9%; P<0.0001) compared with those without ARF. After adjusting for confounding factors, patients with AIS with ARF had higher odds of moderate to severe disability (odds ratio, 1.3; 95% confidence interval, 1.3-1.4; P<0.0001), intracerebral hemorrhage (odds ratio, 1.4; 95% confidence interval, 1.3-1.6; P<0.0001), and death (odds ratio, 2.2; 95% confidence interval, 2.0-2.2; P<0.0001). CONCLUSIONS: ARF in patients with AIS is associated with significantly higher rates of moderate to severe disability at discharge and in-hospital mortality.
BACKGROUND AND PURPOSE:Acute renal failure (ARF) in setting of acute ischemic stroke (AIS) is associated with worse outcome. We sought to determine the prevalence of ARF and effect on outcomes of patients with AIS. METHODS: Data from all patients admitted to US hospitals between 2002 and 2010 with a primary discharge diagnosis of ischemic stroke and secondary diagnosis of ARF were included. The effect of ARF on rates of intracerebral hemorrhage and discharge outcomes was analyzed after adjusting for potential confounders using logistic regression analysis. RESULTS: Of 7,068,334 patients with AIS, 372,223 (5.3%) had ARF during hospitalization. Dialysis was required in 2364 (0.6%) of 372,223 patients. Patients with AIS with ARF had higher rates of moderate to severe disability (41.3% versus 30%; P<0.0001), intracerebral hemorrhage (1.0% versus 0.5%; P<0.0001), and in-hospital mortality (8.4% versus 2.9%; P<0.0001) compared with those without ARF. After adjusting for confounding factors, patients with AIS with ARF had higher odds of moderate to severe disability (odds ratio, 1.3; 95% confidence interval, 1.3-1.4; P<0.0001), intracerebral hemorrhage (odds ratio, 1.4; 95% confidence interval, 1.3-1.6; P<0.0001), and death (odds ratio, 2.2; 95% confidence interval, 2.0-2.2; P<0.0001). CONCLUSIONS:ARF in patients with AIS is associated with significantly higher rates of moderate to severe disability at discharge and in-hospital mortality.
Authors: Hormuzdiyar H Dasenbrock; Faith C Robertson; M Ali Aziz-Sultan; Donovan Guittieres; Rose Du; Ian F Dunn; William B Gormley Journal: Neurocrit Care Date: 2016-12 Impact factor: 3.210
Authors: Michael Joannidis; Lui G Forni; Sebastian J Klein; Patrick M Honore; Kianoush Kashani; Marlies Ostermann; John Prowle; Sean M Bagshaw; Vincenzo Cantaluppi; Michael Darmon; Xiaoqiang Ding; Valentin Fuhrmann; Eric Hoste; Faeq Husain-Syed; Matthias Lubnow; Marco Maggiorini; Melanie Meersch; Patrick T Murray; Zaccaria Ricci; Kai Singbartl; Thomas Staudinger; Tobias Welte; Claudio Ronco; John A Kellum Journal: Intensive Care Med Date: 2019-12-09 Impact factor: 17.440