Literature DB >> 36114314

Predictors of In-Hospital Mortality and Home Discharge in Patients with Aneurysmal Subarachnoid Hemorrhage: A 4-Year Retrospective Analysis.

Uma V Mahajan1, Hammad A Khan1,2, Xiaofei Zhou3, Shaarada Srivatsa1, Christina H Wright3, Adam H Bates4, Martha Sajatovic5, Nicholas C Bambakidis6.   

Abstract

BACKGROUND: Factors associated with discharge disposition and mortality following aneurysmal subarachnoid hemorrhage (aSAH) are not well-characterized. We used a national all-payer database to identify factors associated with home discharge and in-hospital mortality.
METHODS: The National Inpatient Sample was queried for patients with aSAH within a 4-year range. Weighted multivariable logistic regression models were constructed and adjusted for age, sex, race, household income, insurance status, comorbidity burden, National Inpatient Sample SAH Severity Score, disease severity, treatment modality, in-hospital complications, and hospital characteristics (size, teaching status, and region).
RESULTS: Our sample included 37,965 patients: 33,605 were discharged alive and 14,350 were discharged home. Black patients had lower odds of in-hospital mortality compared with White patients (adjusted odds ratio [aOR] = 0.67, 95% confidence interval [CI] 0.52-0.86, p = 0.002). Compared with patients with private insurance, those with Medicare were less likely to have a home discharge (aOR = 0.58, 95% CI 0.46-0.74, p < 0.001), whereas those with self-pay (aOR = 2.97, 95% CI 2.29-3.86, p < 0.001) and no charge (aOR = 3.21, 95% CI 1.57-6.55, p = 0.001) were more likely to have a home discharge. Household income percentile was not associated with discharge disposition or in-hospital mortality. Paradoxically, increased number of Elixhauser comorbidities was associated with significantly lower odds of in-hospital mortality.
CONCLUSIONS: We demonstrate independent associations with hospital characteristics, patient characteristics, and treatment characteristics as related to discharge disposition and in-hospital mortality following aSAH, adjusted for disease severity.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society.

Entities:  

Keywords:  Aneurysmal subarachnoid hemorrhage; Discharge; Insurance status; Mortality; National inpatient sample; Race

Year:  2022        PMID: 36114314     DOI: 10.1007/s12028-022-01596-y

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.532


  27 in total

1.  Peripartum subarachnoid hemorrhage: nationwide data and institutional experience.

Authors:  Brian T Bateman; Vanessa A Olbrecht; Mitchell F Berman; Rebecca D Minehart; Lee H Schwamm; Lisa R Leffert
Journal:  Anesthesiology       Date:  2012-02       Impact factor: 7.892

2.  Effect of weekend compared with weekday stroke admission on thrombolytic use, in-hospital mortality, discharge disposition, hospital charges, and length of stay in the Nationwide Inpatient Sample Database, 2002 to 2007.

Authors:  Brian L Hoh; Yueh-Yun Chi; Michael F Waters; J Mocco; Fred G Barker
Journal:  Stroke       Date:  2010-08-19       Impact factor: 7.914

3.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

4.  Racial/ethnic differences in inpatient mortality and use of institutional postacute care following subarachnoid hemorrhage.

Authors:  Blessing N R Jaja; Gustavo Saposnik; Rosane Nisenbaum; Benjamin W Y Lo; Tom A Schweizer; Kevin E Thorpe; R Loch Macdonald
Journal:  J Neurosurg       Date:  2013-09-10       Impact factor: 5.115

5.  Outcomes after nontraumatic subarachnoid hemorrhage at hospitals offering angioplasty for cerebral vasospasm: a national level analysis in the United States.

Authors:  Rakesh Khatri; Nauman Tariq; Gabriela Vazquez; M Fareed K Suri; Mustapha A Ezzeddine; Adnan I Qureshi
Journal:  Neurocrit Care       Date:  2011-08       Impact factor: 3.210

6.  Nationwide trends in in-hospital mortality among patients with stroke.

Authors:  Bruce Ovbiagele
Journal:  Stroke       Date:  2010-06-17       Impact factor: 7.914

7.  Age-related trends in the treatment and outcomes of ruptured cerebral aneurysms: a study of the nationwide inpatient sample 2001-2009.

Authors:  W Brinjikji; G Lanzino; A A Rabinstein; D F Kallmes; H J Cloft
Journal:  AJNR Am J Neuroradiol       Date:  2012-11-01       Impact factor: 3.825

8.  Analysis of subarachnoid hemorrhage using the Nationwide Inpatient Sample: the NIS-SAH Severity Score and Outcome Measure.

Authors:  Chad W Washington; Colin P Derdeyn; Ralph G Dacey; Rajat Dhar; Gregory J Zipfel
Journal:  J Neurosurg       Date:  2014-06-20       Impact factor: 5.115

9.  Safety and Feasibility of Early Mobilization in Patients with Subarachnoid Hemorrhage and External Ventricular Drain.

Authors:  Bethany Young; Megan Moyer; William Pino; David Kung; Eric Zager; Monisha A Kumar
Journal:  Neurocrit Care       Date:  2019-08       Impact factor: 3.210

10.  Impact of Complications and Comorbidities on the Intensive Care Length of Stay after Aneurysmal Subarachnoid Haemorrhage.

Authors:  Alexander Hammer; Gholamreza Ranaie; Frank Erbguth; Matthias Hohenhaus; Martin Wenzl; Monika Killer-Oberpfalzer; Hans-Herbert Steiner; Hendrik Janssen
Journal:  Sci Rep       Date:  2020-04-10       Impact factor: 4.379

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