Literature DB >> 26970481

Acute Renal Failure in Aneurysmal Subarachnoid Hemorrhage: Nationwide Analysis of Hospitalizations in the United States.

Kavelin Rumalla1, Manoj K Mittal2.   

Abstract

OBJECTIVE: Medical complications in the setting of aneurysmal subarachnoid hemorrhage (aSAH) are common and associated with poor prognosis. We analyzed the incidence, risk factors, and short-term outcomes associated with acute renal failure (ARF) in aSAH.
METHODS: We queried discharge records from all patients admitted to U.S. hospitals between 2002 and 2011 to identify primary diagnoses of aSAH and secondary diagnoses of ARF. The effect of demographics, hospital characteristics, and pre-existing comorbidity on ARF occurrence and the impact of ARF occurrence on length of stay (LOS), in-hospital costs, moderate to severe disability, and in-hospital mortality were explored in both bivariate and multivariable analyses.
RESULTS: The incidence of ARF in patients hospitalized for aSAH (N = 260,885) was 4.0% and increased from 2.1% in 2002 to 5.7% in 2011 (P < 0.0001). The strongest predictors of ARF in multivariable analysis were fluid and electrolyte disorder (odds ratio [OR], 3.24; 95% confidence interval [CI], 3.07-3.42), coagulopathy (OR, 2.43; 95% CI, 2.25-2.63), HIV (OR, 2.42; 95% CI, 1.79-3.27), and diabetes (OR, 2.37; 95% CI, 2.08-2.69). ARF onset in aSAH increased the mean length of stay by 7.2 days and mean total costs by $28,813 (all P < 0.0001). After adjusting for confounding factors, patients with ARF had increased likelihood of moderate to severe disability (OR, 2.03; 95% CI, 1.89-2.19) and in-hospital death (OR, 2.14; 95% CI, 2.03-2.26).
CONCLUSION: The burden of ARF in hospitalized patients with aSAH has increased in the past decade and is detrimental to patient outcomes and healthcare costs. The identification of patient-centered risk factors may allow for close surveillance of high-risk patients.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute renal failure; Aneurysm; Epidemiology; Nationwide inpatient sample; Subarachnoid hemorrhage

Mesh:

Year:  2016        PMID: 26970481     DOI: 10.1016/j.wneu.2016.03.003

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  4 in total

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Authors:  J Tyler Haller; Keaton Smetana; Michael J Erdman; Todd A Miano; Heidi M Riha; Alyssa Rinaldi; Nitin Goyal; G Morgan Jones
Journal:  Neurohospitalist       Date:  2020-03-25

2.  Saline versus Balanced Crystalloids for Adults with Aneurysmal Subarachnoid Hemorrhage: A Subgroup Analysis of the SMART Trial.

Authors:  Akshitkumar M Mistry; Jordan A Magarik; Michael J Feldman; Li Wang; Christopher J Lindsell; Matthew R Fusco; Rohan V Chitale; Gordon R Bernard; Wesley H Self; Todd W Rice; Christopher G Hughes; Eva A Mistry; Matthew W Semler
Journal:  Stroke Vasc Interv Neurol       Date:  2022-05-08

3.  Association between acute kidney injury and long-term mortality in patients with aneurysmal subarachnoid hemorrhage: A retrospective study.

Authors:  Yangchun Xiao; Jun Wan; Yu Zhang; Xing Wang; Hanwen Zhou; Han Lai; Weelic Chong; Yang Hai; L Dade Lunsford; Chao You; Shui Yu; Fang Fang
Journal:  Front Neurol       Date:  2022-09-01       Impact factor: 4.086

4.  High-sensitivity C-reactive protein as a predictive factor of acute kidney injury following aneurysmal subarachnoid hemorrhage: a prospective observational study.

Authors:  Bi-Hui Yang; Qiu He; Chen-Yu Ding; De-Zhi Kang; Qing-Xi Tang
Journal:  Acta Neurochir (Wien)       Date:  2019-07-17       Impact factor: 2.216

  4 in total

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