Admission rate-pressure product as an early predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage
- PMID: 35488072
- DOI: 10.1007/s10143-022-01795-3
Admission rate-pressure product as an early predictor for in-hospital mortality after aneurysmal subarachnoid hemorrhage
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.
Keywords: Early prediction; In-hospital mortality; Intracranial aneurysm; Rate-pressure product; Subarachnoid hemorrhage; U-shaped.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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References
-
- Nieuwkamp DJ, Vaartjes I, Algra A, Bots ML, Rinkel GJ (2013) Age- and gender-specific time trend in risk of death of patients admitted with aneurysmal subarachnoid hemorrhage in the Netherlands. Int J Stroke 8:90–94. https://doi.org/10.1111/ijs.12006 - DOI - PubMed
-
- Nieuwkamp DJ, Setz LE, Algra A, Linn FH, de Rooij NK, Rinkel GJ (2009) Changes in case fatality of aneurysmal subarachnoid haemorrhage over time, according to age, sex, and region: a meta-analysis. Lancet Neurol 8:635–642. https://doi.org/10.1016/S1474-4422(09)70126-7 - DOI - PubMed
-
- Øie LR, Solheim O, Majewska P, Nordseth T, Müller TB, Carlsen SM, Jensberg H, Salvesen Ø, Gulati S (2020) Incidence and case fatality of aneurysmal subarachnoid hemorrhage admitted to hospital between 2008 and 2014 in Norway. Acta Neurochir Wien 162:2251–2259. https://doi.org/10.1007/s00701-020-04463-x - DOI - PubMed - PMC
-
- Abulhasan YB, Alabdulraheem N, Simoneau G, Angle MR, Teitelbaum J (2018) Mortality after spontaneous subarachnoid hemorrhage: causality and validation of a prediction model. World Neurosurg 112:e799–e811. https://doi.org/10.1016/j.wneu.2018.01.160 - DOI - PubMed
-
- Ding CY, Cai HP, Ge HL, Yu LH, Lin YX, Kang DZ (2020) Is admission lipoprotein-associated phospholipase A2 a novel predictor of vasospasm and outcome in patients with aneurysmal subarachnoid hemorrhage? Neurosurgery 86:122–131. https://doi.org/10.1093/neuros/nyz041 - DOI - PubMed
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