Literature DB >> 35488072

Admission rate-pressure product as an early predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage.

Jingwei Zhao1, Shaolan Zhang1, Jiawei Ma1, Guangzhi Shi2, Jianxin Zhou1.   

Abstract

Early prediction of in-hospital mortality in aneurysmal subarachnoid hemorrhage (aSAH) is essential for the optimal management of these patients. Recently, a retrospective cohort observation has reported that the rate-pressure product (RPP, the product of systolic blood pressure and heart rate), an objective and easily calculated bedside index of cardiac hemodynamics, was predictively associated with in-hospital mortality following traumatic brain injury. We thus wondered whether this finding could also be generalized to aSAH patients. The current study aimed to examine the association of RPP at the time of emergency room (ER) admission with in-hospital mortality and its predictive performance among aSAH patients. We retrospectively included 515 aSAH patients who had been admitted to our ER between 2016 and 2020. Their baseline heart rate and systolic blood pressure at ER presentation were extracted for the calculation of the admission RPP. Meanwhile, we collected relevant clinical, laboratory, and neuroimaging data. Then, these data including the admission RPP were examined by univariate and multivariate analyses to identify independent predictors of hospital mortality. Eventually, continuous and ordinal variables were selected from those independent predictors, and the performance of these selected predictors was further evaluated and compared based on receiver operating characteristic (ROC) curve analyzes. We identified both low (< 10,000; adjusted odds ratio (OR) 3.49, 95% CI 1.93-6.29, p < 0.001) and high (> 15,000; adjusted OR 8.42, 95% CI 4.16-17.06, p < 0.001) RPP on ER admission to be independently associated with in-hospital mortality after aSAH. Furthermore, after centering the admission RPP by its median, the area under its ROC curve (0.761, 95% CI 0.722-0.798, p < 0.001) was found to be statistically superior to any of the other independent predictors included in the ROC analyzes (all p < 0.01). In light of the predictive superiority of the admission RPP, as well as its objectivity and easy accessibility, it is indeed a potentially more applicable predictor for in-hospital death in aSAH patients.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Early prediction; In-hospital mortality; Intracranial aneurysm; Rate-pressure product; Subarachnoid hemorrhage; U-shaped

Mesh:

Year:  2022        PMID: 35488072     DOI: 10.1007/s10143-022-01795-3

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   2.800


  33 in total

1.  Prediction of 60 day case-fatality after aneurysmal subarachnoid haemorrhage: results from the International Subarachnoid Aneurysm Trial (ISAT).

Authors:  R Risselada; H F Lingsma; A Bauer-Mehren; C M Friedrich; A J Molyneux; R S C Kerr; J Yarnold; M Sneade; E W Steyerberg; M C J M Sturkenboom
Journal:  Eur J Epidemiol       Date:  2010-02-14       Impact factor: 8.082

2.  Is Admission Lipoprotein-Associated Phospholipase A2 a Novel Predictor of Vasospasm and Outcome in Patients With Aneurysmal Subarachnoid Hemorrhage?

Authors:  Chen-Yu Ding; Han-Pei Cai; Hong-Liang Ge; Liang-Hong Yu; Yuang-Xiang Lin; De-Zhi Kang
Journal:  Neurosurgery       Date:  2020-01-01       Impact factor: 4.654

3.  Predictors and impact of early cerebral infarction after aneurysmal subarachnoid hemorrhage.

Authors:  R Jabbarli; M Reinhard; W-D Niesen; R Roelz; M Shah; K Kaier; B Hippchen; C Taschner; V Van Velthoven
Journal:  Eur J Neurol       Date:  2015-02-24       Impact factor: 6.089

4.  Age- and gender-specific time trend in risk of death of patients admitted with aneurysmal subarachnoid hemorrhage in the Netherlands.

Authors:  Dennis J Nieuwkamp; Ilonca Vaartjes; Ale Algra; Michiel L Bots; Gabriël J E Rinkel
Journal:  Int J Stroke       Date:  2013-03-12       Impact factor: 5.266

5.  A Model for Prediction of In-Hospital Mortality in Patients with Subarachnoid Hemorrhage.

Authors:  Mónica Mourelo-Fariña; Sonia Pértega; Rita Galeiras
Journal:  Neurocrit Care       Date:  2021-04       Impact factor: 3.210

6.  Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis.

Authors:  Dennis J Nieuwkamp; Larissa E Setz; Ale Algra; Francisca H H Linn; Nicolien K de Rooij; Gabriël J E Rinkel
Journal:  Lancet Neurol       Date:  2009-06-06       Impact factor: 44.182

7.  Mortality after Spontaneous Subarachnoid Hemorrhage: Causality and Validation of a Prediction Model.

Authors:  Yasser B Abulhasan; Najayeb Alabdulraheem; Gabrielle Simoneau; Mark R Angle; Jeanne Teitelbaum
Journal:  World Neurosurg       Date:  2018-02-02       Impact factor: 2.104

8.  Incidence and case fatality of aneurysmal subarachnoid hemorrhage admitted to hospital between 2008 and 2014 in Norway.

Authors:  Lise R Øie; Ole Solheim; Paulina Majewska; Trond Nordseth; Tomm B Müller; Sven M Carlsen; Heidi Jensberg; Øyvind Salvesen; Sasha Gulati
Journal:  Acta Neurochir (Wien)       Date:  2020-06-30       Impact factor: 2.216

9.  Impact of smoking on course and outcome of aneurysmal subarachnoid hemorrhage.

Authors:  H Slettebø; T Karic; A Sorteberg
Journal:  Acta Neurochir (Wien)       Date:  2020-07-30       Impact factor: 2.216

10.  Initial pupil status is a strong predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage.

Authors:  Marius M Mader; Andras Piffko; Nora F Dengler; Franz L Ricklefs; Lasse Dührsen; Nils O Schmidt; Jan Regelsberger; Manfred Westphal; Stefan Wolf; Patrick Czorlich
Journal:  Sci Rep       Date:  2020-03-16       Impact factor: 4.379

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