Figures
Abstract
Background and purpose
Aneurysmal subarachnoid hemorrhage occurs in approximately 30,000 patients annually in the United States. Uncontrolled blood pressure is a major risk factor for aneurysmal subarachnoid hemorrhage. Clinical guidelines recommend maintaining blood pressure control until definitive aneurysm securement occurs. It is unknown whether racial differences exist regarding blood pressure control and outcomes (HLOS, discharge disposition) in aneurysmal subarachnoid hemorrhage. Here, we aim to assess whether racial differences exist in 1) presentation, 2) clinical course, and 3) outcomes, including time to blood pressure stabilization, for aSAH patients at a large tertiary care medical center.
Methods
We conducted a retrospective review of adult aneurysmal subarachnoid hemorrhage cases from 2013 to 2019 at a single large tertiary medical center. Data extracted from the medical record included sex, age, race, insurance status, aneurysm location, aneurysm treatment, initial systolic and diastolic blood pressure, Hunt Hess grade, modified Fisher score, time to blood pressure control (defined as time in minutes from first blood pressure measurement to the first of three consecutive systolic blood pressure measurements under 140mmHg), hospital length of stay, and final discharge disposition.
Results
194 patients met inclusion criteria; 140 (72%) White and 54 (28%) Black. While White patients were more likely than Black patients to be privately insured (62.1% versus 33.3%, p < 0.001), Black patients were more likely than White patients to have Medicaid (55.6% versus 15.0%, p < 0.001). Compared to White patients, Black patients presented with a higher median systolic (165 mmHg versus 148 mmHg, p = 0.004) and diastolic (93 mmHg versus 84 mmHg, p = 0.02) blood pressure. Black patients had a longer median time to blood pressure control than White patients (200 minutes versus 90 minutes, p = 0.001). Black patients had a shorter median hospital length of stay than White patients (15 days versus 18 days, p < 0.031). There was a small but statistically significant difference in modified Fisher score between black and white patients (3.48 versus 3.17, p = 0.04).There were no significant racial differences present in sex, Hunt Hess grade, discharge disposition, complications, or need for further interventions.
Citation: Zhou X, Bates AH, Mahajan UV, Desai A, Butke J, Shammassian B, et al. (2023) Racial differences in time to blood pressure control of aneurysmal subarachnoid hemorrhage patients: A single-institution study. PLoS ONE 18(2): e0279769. https://doi.org/10.1371/journal.pone.0279769
Editor: Jibril Mohammed, Bayero University Kano, NIGERIA
Received: March 28, 2022; Accepted: December 14, 2022; Published: February 24, 2023
Copyright: © 2023 Zhou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Data cannot be made publicly available as it is institutional patient medical record data. A Data Use Agreement is required with whomever would be accessing/using the data, and so it can only be available upon request. Requests for data access can be made to Institutional Review Board of University Hospitals Cleveland Medical Center (UHIRB@UHhospitals.org).
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Aneurysmal subarachnoid hemorrhage (aSAH) occurs in approximately 30,000 patients every year in the United States and has an overall global incidence of 7.9 per 100,000 person-years [1, 2]. Pre-hospital mortality for aSAH has been estimated to be up to 25%, with in-hospital mortality in recent studies estimated to be approximately 14% [3, 4]. Of those who survive initial rupture, many still face the risks of rebleeding, acute hydrocephalus, vasospasm and delayed cerebral ischemia. Prior to aneurysm securement, the risk of rebleeding has been estimated to range between 4 and 14%”within the first 24 hours, with maximum risk in the first 2 to 12 hours [5].
Blood pressure control after presentation is thought to impact rebleeding risk. The American Stroke Association’s 2012 guidelines recommend maintaining blood pressure (BP) below 160 mmHg as a means of mitigating re-rupture risk prior to aneurysm securement [6]. Blood pressure control is also important as a chronic disease factor, with uncontrolled hypertension among the most significant risk factors for aSAH and also linked to worse outcomes [7–12]. Yet, it remains unclear how uncontrolled chronic hypertension affects timing to blood pressure control following subarachnoid hemorrhage, and therefore, complications such as re-rupture.
Black Americans have a significantly higher prevalence of both hypertension and uncontrolled hypertension compared with their White counterparts [13]. Mortality rates for aSAH are higher for Black compared to White Americans [14, 15]. It is unclear if this is due to differences in treatment or underlying comorbidities. It is also currently unknown whether there are racial differences in clinical course of BP control in aSAH patients.
Here, we aim to assess whether racial differences exist in presentation, clinical course, and outcomes (HLOS, disposition, complications, need for interventions, time to blood pressure stabilization) for aSAH patients at a large tertiary care medical center.
Methods
Approval was obtained from University Hospitals Cleveland Medical Center (UHCMC) Institutional Review Board, and the need for consent was waived for this study (IRB number 20191604). We conducted a single-institution retrospective review of all aSAH cases between 2013 and 2019 at a large tertiary medical center, UHCMC. Inclusion criteria were adult patients (age ≥ 18); aSAH as seen on computed tomography of the head or computed tomography angiography, digital subtraction angiography, or magnetic resonance imaging; saccular aneurysms; dissecting aneurysms; and patient arrival to our center within 48 hours of ictus. Exclusion criteria were prior SAH; withdrawal of care prior to aneurysm treatment; absence of aneurysm on imaging (e.g., non-aneurysmal perimesencephalic bleed, traumatic SAH) or incidental aneurysm finding unrelated to current admission; mycotic aneurysm; poor baseline functional status (baseline modified Rankin Scale [mRS] > 2); delayed presentation (arrival to our hospital more than 48 hours after ictus); aneurysm associated with arteriovenous malformation; and elective aneurysm clipping (non-ruptured aneurysm).
Medical records were reviewed to collect the relevant information. Demographic data including age, sex, comorbidities, and race were identified from medical records. Clinical information included location of initial patient presentation (UHCMC, affiliated community hospital, or outside hospital); aneurysm location (anterior circulation or posterior circulation); initial systolic blood pressure (SBP); initial diastolic blood pressure (DBP); Hunt Hess grade (grades 1–5); Modified Fisher score (graded 1–4); placement of an external ventricular drain (EVD) prior to final securement; presence of rebleed; securement method (clipping or coiling); occurrence of vasospasm requiring treatment (either vasopressors, angioplasty, intraarterial verapamil, or intrathecal nicardipine); presence of Takotsubo stress cardiomyopathy (defined as reduced ejection fraction with apical ballooning on echocardiogram); mRS on discharge; whether a tracheostomy, percutaneous endoscopic gastrostomy (PEG), or ventriculoperitoneal shunt were placed during admission; time (in minutes) to blood pressure control, and final discharge disposition.
Time to blood pressure control was defined as the time from first blood pressure measurement to the first of three consecutive systolic blood pressure measurements under 140 mmHg per institutional practice. The first recorded blood pressure measurement was used regardless of location of read (i.e. readings at outside hospitals or ambulances were included). Discharge disposition was categorized as good (home with no needs, home with home care, or rehabilitation) or poor (skilled nursing facility, long term acute care hospitals, or hospice/deceased). We collected past medical history data on the following comorbidities: congestive heart failure, type 2 diabetes mellitus, hypertension, hyperlipidemia, coronary artery disease (with or without stent), prior myocardial infarction, connective tissue disorder, end stage renal disease, current or prior alcohol abuse, current or prior smoking, coagulopathy or use of anticoagulants/antiplatelets, atrial fibrillation, deep vein thrombosis or pulmonary embolism, liver dysfunction, and bleeding dyscrasia.
Stata 15 (StataCorp. 2019. College Station, Tx) software was used for statistical analysis. Due to small numbers, patients whose race was not White or Black were not included in statistical analyses. As race was dichotomous, Chi square analyses were conducted for categorical outcomes. Independent samples t-tests were run for continuous outcomes. Median tests, a nonparametric equivalence to the t-test, were run when the continuous outcomes were not normally distributed. Linear and logistic regression tests were performed, for continuous and dichotomous outcomes respectively, to control for patient age, sex, initial diastolic and systolic blood pressures, and modified Fisher scores.
Results
Patient demographics and presentation characteristics are displayed in Table 1 while their clinical management and outcomes are displayed in Table 2.
Patient demographics
Of the 546 patients identified in the aSAH database, 200 met clinical inclusion criteria. Six patients, whose racial classification was not White or Black, were not included in statistical analysis because this group was underpowered to analyze separately. 194 patients were included for statistical analysis. 140 were White patients and 54 were Black patients. The mean age was 59.25 ± 3.44 years for White patients and 52.92 ± 14.36 years for Black patients (p = 0.004). 70.7% of White patients and 79.6% of Black patients were female (p = 0.209). White patients initially presented to an outside hospital or community hospital 85.0% of the time, while Black patients presented directly to the tertiary care center in the majority of cases (57.4%, p < 0.001). A greater proportion of White patients compared to Black patients were privately insured (62.1% versus 33.3%, p < 0.001).
There were more White patients compared to Black patients with Medicare insurance (40.7% versus 24.1%, p = 0.032). whereas a larger proportion of Black patients had Medicaid in comparison to their White counterparts (55.6% versus 15.0%, p < 0.001). There was not a significant difference in the number of comorbidities at presentation between White and Black patients (p = 0.268).
Acute subarachnoid hemorrhage characteristics
Race was not significantly associated with aneurysm location or Hunt Hess score. However, Black patients had mean lower modified Fisher Score (3.17 ± 1.11 versus 3.48 ± 0.87 for White race, p = 0.04). No significant racial difference was present in the aneurysm treatment approach (48.6% of White patients underwent clipping versus 57.4% of Black patients, p = 0.27) or EVD placement frequency (p = 0.465).
Blood pressure characteristics
Black patients presented with a median SBP of 165 mmHg and White patients presented with a median SBP of 148 mmHg (p = 0.004). The median DBP on presentation was 93 mmHg for Black patients and 84 mmHg for White patients (p = 0.02). The median time to blood pressure control was 200 minutes after initial presentation for Black patients, compared to 90 minutes after initial presentation for White patients (p = 0.001).
Clinical outcomes
White patients had a median hospital length of stay (HLOS) of 18 days and Black patients had a median HLOS of 15 days (p < 0.031). Discharge disposition was not significantly different between White and Black patients (p = 0.808). Race was not associated with rebleed risk (p = 0.898), vasospasm incidence (p = 0.419), or Takotsubo cardiomyopathy incidence (p = 0.456). The placement of tracheostomy, PEG, or shunt was not significantly different between White and Black patients.
Adjusted outcomes
Linear regression of time to BP control adjusted for patient race, age, sex, initial DBP and SBP, modified Fisher scores, and insurance type demonstrated that Black race (p = 0.010), higher initial SBP (p = 0.002), and lower modified Fischer score (p = 0.019) were significant predictors of longer time to blood pressure control. Linear regression of hospital length of stay adjusted for the same variables demonstrated that a higher Modified Fischer score was a significant predictor of longer stay (p < 0.001).
Discussion
In this study, compared to White aSAH patients, Black aSAH patients presented with higher initial SBP and DBP, and had a longer time to BP control. Black patients continued to demonstrate a longer time to BP control even when adjusted for patient age, sex, initial SBP and DBP, and modified Fisher scores. A variety of factors may underlie these racial differences.
The mean age for Black patients was roughly seven years younger than White patients, a statistically significant difference. Despite the younger age, black patients had higher SBP and DBP at initial presentation, suggesting that Black patients may have poorer underlying health. This is associated with a myriad of factors, potentially including worse access to preventative medical care, chronic stress, financial status, or environmental exposures [16]. Our findings are in concordance with past work in aSAH patients that also demonstrated younger age and higher rate of hypertension with associated elevated blood pressure at the time of admission in Black patients relative to White patients [15]. BP at initial presentation has been shown to impact SAH complications, specifically rebleed risk [17, 18]. However, in the present study, Black and White patients showed no difference in rebleed or vasospasm risk, incidence of Takotsubo cardiomyopathy, or need for post-rupture interventions (e.g., placement of PEG, shunt, or tracheostomy) despite differences in BP at presentation. Regardless, the difference in age of presentation is concerning; aSAH can have drastic impacts on quality of life and employment in the short and long term [19–21]. While the rate of discharge to skilled nursing facilities and long-term care facilities was not significantly different between White and Black patients, an earlier onset of disability or reduction in employment could contribute to a higher lifetime burden of disease.
The increased prevalence of HTN among Black patients has been established in previous studies and is thought to be multifactorial, with socioeconomic status, social support, and cultural experiences serving as possible contributing factors [22–24]. Specifically, lower annual income and lack of healthy physician-patient relationships that could foster lifestyle modifications are thought to be two of the central driving factors for the increased prevalence of HTN among Black patients [22, 24]. In addition to differences in risk factors for hypertension, hypertension itself may be managed differently between racial groups in the outpatient setting, specifically in terms of medications employed [25]. Regardless of the cause, the difference in BP at presentation is concerning because hypertension may increase the risk of post-SAH complications, such as postoperative seizures [26]. Furthermore, poorer control of HTN at baseline may partly explain why Black patients had a significantly longer time to BP control in this study. This is noteworthy, given that increased time spent outside the limits of cerebral autoregulation is correlated to higher 90-day mRS scores [27].
Uncontrolled blood pressure is a factor that has been historically associated with aSAH incidence and outcomes [5, 17, 18, 28]. A prior study in Japan suggested that high initial systolic blood pressure (≥220 mmHg) is a risk factor for higher grade hemorrhage [29]. One study with 612 aSAH patients, all with BP controlled to 120–160 mmHg, found that increased BP variability correlated with a significantly increased risk of rebleed [30]. A meta-analysis of 14 studies and 5693 patients found elevated BP (either greater than 140 mmHg or 160 mmHg, depending on institutional practice) was associated with double the risk of rebleed compared to normotension [17]. The optimal magnitude of blood pressure reduction has not been well established, and there remains substantial practice variability following aSAH [31]. Regardless, rebleeds are associated with drastic loss of functional independence [32]. Therefore, it is important to investigate the role of BP management in aSAH outcome and complications rates, especially in light of racial disparities in blood pressure management in the inpatient acute and outpatient chronic settings.
Although there were significant differences in SBP, DBP and time to BP control between White and Black patients, this did not translate to differences in rates of complications or disposition at discharge. This is surprising in the context of current clinical guidelines and earlier data, which suggest that elevated BP is correlated with worse outcomes [5, 17, 18, 28]. It is possible that the time to blood pressure control in our institution is below the clinically relevant length of time, perhaps contributing to the lack of correlation between outcomes and longer length of time to control seen in our study. Furthermore, given the relatively rare occurrence of rebleed, the current study may not be powered to identify a significant difference in the risk of rebleed between races.
Paradoxically, Black patients had a shorter HLOS and lower mean modified Fisher Scores than White patients despite worse BP control. A shorter HLOS among Black patients is surprising given that numerous studies have found longer HLOS for Black patients treated both by neurosurgery and by other specialties [33–38]. One possible explanation for the shorter HLOS may be that in our study, Black patients were significantly more likely to present at UHCMC, the site of final aneurysm securement. This could have led to earlier neurosurgical consultation and definitive management, which has been found to produce better outcomes, including reduced HLOS [39, 40].
Insurance status previously has also been shown to impact HLOS. Specifically, past literature has found uninsured patients have shorter HLOS whereas patients with Medicaid/Medicare have longer HLOS [41, 42]. There are well established disparities in insurance rates between White and Black Americans, with Black Americans being far more likely to be uninsured (15.9–10.1% vs 9.8–6.3%) [43, 44]. This study found that White patients were more likely than Black patients to have private insurance or Medicare and less likely to have Medicaid. However, adjusted regression demonstrated that insurance type was not a significant predictor of HLOS.
Similarly, the significantly lower modified Fisher score in Black patients was unexpected. Modified Fisher score has been increasingly validated as a predictor of outcome, including delayed cerebral ischemia, cognitive function, functional outcome, and death [45–48]. Subarachnoid hemorrhage severity, as represented by the modified Fisher score, has been found to be associated with age, hypertension, and elevated SBP on admission [49]. In this context, one would have expected the higher average SBP, DBP, and rates of hypertension in Black patients to be correlated with a higher Fisher score. This, however, was not what was observed in our population. It is possible that the lower age seen in Black patients may have served as a significant protective factor. Additionally, although the difference in modified Fisher score between races was statistically significant, it may not have been a clinically meaningful difference given the small magnitude and poor interrater reliability of the scale [50].
Our study is limited in several respects, including its single-site nature. We evaluated a single metropolitan area, which may in turn influence determinants of health unique to the included patient demographic. Ultimately, multicenter research is needed to validate these findings and better elucidate how differences in blood pressure and blood control times may impact clinical and functional outcomes. In addition, racial data was extracted from the medical record rather than self-reported by patient. Furthermore, this study only considered Black and White patients, as there was an insufficient number of patients of other races to perform statistical analysis. Such racial data could have presented further nuances to the analysis. Long-term outcomes following discharge were also unavailable. Therefore, there may have been racial disparities regarding long-term recovery and functional outcomes, or readmissions and follow-up care that are unobserved [22–24, 51]. Additionally, BP control data was determined based on routine BP collection times, so the absolute time to control may not be represented in the data set and minutes to BP control may be overestimated. Lastly, although we included seven years of patient data, with a starting date coinciding with the hospital adoption of an electronic medical record and thus capturing all available data, our study only included 194 patients and thus may have been underpowered to detect additional differences.
Conclusions
We found that Black race was associated with higher BP at presentation and longer time to BP control, as compared to White race. These racial differences were not associated with an increase in complications or in-hospital interventions. Although this study did not demonstrate significant racial differences in terms of disposition as primary outcome, there does exist significant differences in initial blood pressure and time to control. These racial differences, however, may contribute to differences in outcome, such as long term health measures, that were not measured by this study. Therefore, further investigation is warranted and necessary.
Acknowledgments
We thank Clara Kneubush for assistance in obtaining Institutional Review Board approval. We thank the Neurosurgery Research Mentorship Program at University Hospitals Cleveland Medical Center for providing the guidance and resources to complete this project.
References
- 1. Diringer MN. Management of aneurysmal subarachnoid hemorrhage. Crit Care Med. 2009 Feb;37(2):432–40. pmid:19114880
- 2. Etminan N, Chang H-S, Hackenberg K, de Rooij NK, Vergouwen MDI, Rinkel GJE, et al. Worldwide Incidence of Aneurysmal Subarachnoid Hemorrhage According to Region, Time Period, Blood Pressure, and Smoking Prevalence in the Population: A Systematic Review and Meta-analysis. JAMA Neurol. 2019 May;76(5):588–97. pmid:30659573
- 3. Abulhasan YB, Alabdulraheem N, Simoneau G, Angle MR, Teitelbaum J. Mortality after Spontaneous Subarachnoid Hemorrhage: Causality and Validation of a Prediction Model. World Neurosurg. 2018 Apr;112:e799–811. pmid:29410174
- 4. Heros RC, Kistler JP. Intracranial arterial aneurysm—an update. Stroke. 1983;14(4):628–31. pmid:6658944
- 5. Ohkuma H, Tsurutani H, Suzuki S. Incidence and significance of early aneurysmal rebleeding before neurosurgical or neurological management. Stroke. 2001 May;32(5):1176–80. pmid:11340229
- 6. Feigin VL, Rinkel GJE, Lawes CMM, Algra A, Bennett DA, van Gijn J, et al. Risk factors for subarachnoid hemorrhage: an updated systematic review of epidemiological studies. Stroke. 2005 Dec;36(12):2773–80. pmid:16282541
- 7. Müller TB, Vik A, Romundstad PR, Sandvei MS. Risk Factors for Unruptured Intracranial Aneurysms and Subarachnoid Hemorrhage in a Prospective Population-Based Study. Stroke. 2019 Oct;50(10):2952–5. pmid:31370767
- 8. Bakker MK, van der Spek RAA, van Rheenen W, Morel S, Bourcier R, Hostettler IC, et al. Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors. Nat Genet. 2020 Dec;52(12):1303–13. pmid:33199917
- 9. Huang H, Lai LT. Incidence and Case-Fatality of Aneurysmal Subarachnoid Hemorrhage in Australia, 2008–2018. World Neurosurg. 2020 Dec;144:e438–46. pmid:32889187
- 10. Lindbohm JV, Kaprio J, Jousilahti P, Salomaa V, Korja M. Risk Factors of Sudden Death From Subarachnoid Hemorrhage. Stroke. 2017 Sep;48(9):2399–404. pmid:28739833
- 11. Rapsomaniki E, Timmis A, George J, Pujades-Rodriguez M, Shah AD, Denaxas S, et al. Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people. Lancet (London, England). 2014 May;383(9932):1899–911.
- 12. Connolly ESJ, Rabinstein AA, Carhuapoma JR, Derdeyn CP, Dion J, Higashida RT, et al. Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association. Stroke. 2012 Jun;43(6):1711–37. pmid:22556195
- 13. Aggarwal R, Chiu N, Wadhera RK, Moran AE, Raber I, Shen C, et al. Racial/Ethnic Disparities in Hypertension Prevalence, Awareness, Treatment, and Control in the United States, 2013 to 2018. Hypertens (Dallas, Tex 1979). 2021 Dec;78(6):1719–26. pmid:34365809
- 14. Jaja BNR, Saposnik G, Nisenbaum R, Lo BWY, Schweizer TA, Thorpe KE, et al. Racial/ethnic differences in inpatient mortality and use of institutional postacute care following subarachnoid hemorrhage. J Neurosurg. 2013 Dec;119(6):1627–32. pmid:24015781
- 15. Rosen D, Novakovic R, Goldenberg FD, Huo D, Baldwin ME, Frank JI, et al. Racial differences in demographics, acute complications, and outcomes in patients with subarachnoid hemorrhage: a large patient series. J Neurosurg. 2005 Jul;103(1):18–24. pmid:16121968
- 16. Jackson JS, Knight KM, Rafferty JA. Race and unhealthy behaviors: chronic stress, the HPA axis, and physical and mental health disparities over the life course. Am J Public Health. 2010 May;100(5):933–9. pmid:19846689
- 17. Tang C, Zhang T-S, Zhou L-F. Risk factors for rebleeding of aneurysmal subarachnoid hemorrhage: a meta-analysis. PLoS One. 2014;9(6):e99536. pmid:24911172
- 18. Oheda M, Inamasu J, Moriya S, Kumai T, Kawazoe Y, Nakae S, et al. Early rebleeding in patients with subarachnoid haemorrhage under intensive blood pressure management. J Clin Neurosci Off J Neurosurg Soc Australas. 2015 Aug;22(8):1338–42. pmid:26077940
- 19. Hop JW, Rinkel GJ, Algra A, van Gijn J. Changes in functional outcome and quality of life in patients and caregivers after aneurysmal subarachnoid hemorrhage. J Neurosurg. 2001 Dec;95(6):957–63. pmid:11765839
- 20. Tjahjadi M, Heinen C, König R, Rickels E, Wirtz CR, Woischneck D, et al. Health-related quality of life after spontaneous subarachnoid hemorrhage measured in a recent patient population. World Neurosurg. 2013 Feb;79(2):296–307. pmid:23046917
- 21. Passier PECA Visser-Meily JMA, Rinkel GJE, Lindeman E, Post MWM. Life satisfaction and return to work after aneurysmal subarachnoid hemorrhage. J stroke Cerebrovasc Dis Off J Natl Stroke Assoc. 2011;20(4):324–9. pmid:20656515
- 22. Cooper RS. Health and the social status of blacks in the United States. Ann Epidemiol. 1993 Mar;3(2):137–44. pmid:8269065
- 23. Bell CN, Thorpe RJJ, Laveist TA. Race/Ethnicity and hypertension: the role of social support. Am J Hypertens. 2010 May;23(5):534–40. pmid:20186126
- 24. Peters RM, Aroian KJ, Flack JM. African American culture and hypertension prevention. West J Nurs Res. 2006 Nov;28(7):831–63. pmid:17056776
- 25. Wright JTJ, Dunn JK, Cutler JA, Davis BR, Cushman WC, Ford CE, et al. Outcomes in hypertensive black and nonblack patients treated with chlorthalidone, amlodipine, and lisinopril. JAMA. 2005 Apr;293(13):1595–608. pmid:15811979
- 26. Ohman J. Hypertension as a risk factor for epilepsy after aneurysmal subarachnoid hemorrhage and surgery. Neurosurgery. 1990 Oct;27(4):578–81. pmid:2234361
- 27. Silverman A, Kodali S, Strander S, Gilmore EJ, Kimmel A, Wang A, et al. Deviation From Personalized Blood Pressure Targets Is Associated With Worse Outcome After Subarachnoid Hemorrhage. Stroke. 2019 Oct;50(10):2729–37. pmid:31495332
- 28. Kassell NF, Torner JC, Haley ECJ, Jane JA, Adams HP, Kongable GL. The International Cooperative Study on the Timing of Aneurysm Surgery. Part 1: Overall management results. J Neurosurg. 1990 Jul;73(1):18–36. pmid:2191090
- 29. Inamasu J, Oheda M, Ito K, Kato Y, Hirose Y. Relationship between systolic blood pressures measured in emergency department and outcomes in patients with subarachnoid hemorrhage. Acute Med Surg. 2015 Jan;2(1):35–9. pmid:29123688
- 30. Lin Q-S, Ping-Chen , Lin Y-X, Lin Z-Y, Yu L-H, Dai L-S, et al. Systolic Blood Pressure Variability is a Novel Risk Factor for Rebleeding in Acute Subarachnoid Hemorrhage: A Case-Control Study. Medicine (Baltimore). 2016 Mar;95(11):e3028. pmid:26986118
- 31. Brown RJ, Kumar A, McCullough LD, Butler K. A survey of blood pressure parameters after aneurysmal subarachnoid hemorrhage. Int J Neurosci. 2017 Jan;127(1):51–8. pmid:26822716
- 32. Naidech AM, Janjua N, Kreiter KT, Ostapkovich ND, Fitzsimmons B-F, Parra A, et al. Predictors and impact of aneurysm rebleeding after subarachnoid hemorrhage. Arch Neurol. 2005 Mar;62(3):410–6. pmid:15767506
- 33. Lad SP, Umeano OA, Karikari IO, Somasundaram A, Bagley CA, Gottfried ON, et al. Racial disparities in outcomes after spinal cord injury. J Neurotrauma. 2013 Mar;30(6):492–7. pmid:23113561
- 34. Sheppard JP, Lagman C, Romiyo P, Nguyen T, Azzam D, Alkhalid Y, et al. Racial Differences in Hospital Stays among Patients Undergoing Craniotomy for Tumour Resection at a Single Academic Hospital. Brain tumor Res Treat. 2019 Oct;7(2):122–31. pmid:31686443
- 35. Ghosh MK, Chakraborty D, Sarkar S, Bhowmik A, Basu M. The interrelationship between cerebral ischemic stroke and glioma: A comprehensive study of recent reports. Signal Transduction and Targeted Therapy. 2019. pmid:31637020
- 36. Schneider EB, Calkins KL, Weiss MJ, Herman JM, Wolfgang CL, Makary MA, et al. Race-based differences in length of stay among patients undergoing pancreatoduodenectomy. Surgery. 2014 Sep;156(3):528–37. pmid:24973128
- 37. Peck CJ, Pourtaheri N, Shultz BN, Parsaei Y, Yang J, Park KE, et al. Racial Disparities in Complications, Length of Stay, and Costs Among Patients Receiving Orthognathic Surgery in the United States. J oral Maxillofac Surg Off J Am Assoc Oral Maxillofac Surg. 2021 Feb;79(2):441–9. pmid:33058772
- 38. Giglia MD, DeRussy A, Morris MS, Richman JS, Hawn MT, Vickers SM, et al. Racial disparities in length-of-stay persist even with no postoperative complications. J Surg Res. 2017 Jun;214:14–22. pmid:28624035
- 39. Whitfield PC, Moss H, O’Hare D, Smielewski P, Pickard JD, Kirkpatrick PJ. An audit of aneurysmal subarachnoid haemorrhage: earlier resuscitation and surgery reduces inpatient stay and deaths from rebleeding. J Neurol Neurosurg Psychiatry. 1996 Mar;60(3):301–6. pmid:8609508
- 40. Tykocki T, Czyż M, Machaj M, Szydlarska D, Kostkiewicz B. Comparison of the timing of intervention and treatment modality of poor-grade aneurysmal subarachnoid hemorrhage. Br J Neurosurg. 2017 Aug;31(4):430–3. pmid:28436243
- 41. Englum BR, Hui X, Zogg CK, Chaudhary MA, Villegas C, Bolorunduro OB, et al. Association Between Insurance Status and Hospital Length of Stay Following Trauma. Am Surg. 2016 Mar;82(3):281–8. pmid:27099067
- 42. Mainous AG 3rd, Diaz VA, Everett CJ, Knoll ME. Impact of insurance and hospital ownership on hospital length of stay among patients with ambulatory care-sensitive conditions. Ann Fam Med. 2011;9(6):489–95. pmid:22084259
- 43. Smith JC, Medalia C. Current Population Reprots, P60-253, Health Insurance Coverage in the United States: 2014. 2014;(September). Available from: https://www2.census.gov/library/publications/2014/demographics/p60-250.pdf
- 44. Keisler-Starkey K, Bunch L. Health Insurance Coverage in the United States: 2019. 2020;(September). Available from: https://www.census.gov/content/dam/Census/library/publications/2020/demo/p60-271.pdf
- 45. van der Steen WE, Leemans EL, van den Berg R, Roos YBWEM, Marquering HA, Verbaan D, et al. Radiological scales predicting delayed cerebral ischemia in subarachnoid hemorrhage: systematic review and meta-analysis. Neuroradiology. 2019 Mar;61(3):247–56. pmid:30693409
- 46. Geraghty JR, Lara-Angulo MN, Spegar M, Reeh J, Testai FD. Severe cognitive impairment in aneurysmal subarachnoid hemorrhage: Predictors and relationship to functional outcome. J stroke Cerebrovasc Dis Off J Natl Stroke Assoc. 2020 Sep;29(9):105027. pmid:32807442
- 47. Pegoli M, Mandrekar J, Rabinstein AA, Lanzino G. Predictors of excellent functional outcome in aneurysmal subarachnoid hemorrhage. J Neurosurg. 2015 Feb;122(2):414–8. pmid:25495745
- 48. Lantigua H, Ortega-Gutierrez S, Schmidt JM, Lee K, Badjatia N, Agarwal S, et al. Subarachnoid hemorrhage: who dies, and why? Crit Care. 2015 Aug;19(1):309. pmid:26330064
- 49. Rosen DS, Amidei C, Tolentino J, Reilly C, Macdonald RL. Subarachnoid clot volume correlates with age, neurological grade, and blood pressure. Neurosurgery. 2007 Feb;60(2):257–9. pmid:17290176
- 50. Melinosky C, Kincaid H, Claassen J, Parikh G, Badjatia N, Morris NA. The Modified Fisher Scale Lacks Interrater Reliability. Neurocrit Care. 2021 Aug;35(1):72–8. pmid:33200331
- 51. Hodges TR, Labak CM, Mahajan U V, Wright CH, Wright J, Cioffi G, et al. Impact of race on care, readmissions, and survival for patients with glioblastoma: an analysis of the National Cancer Database. Neuro-oncology Adv. 2021;3(1):vdab040. pmid:33959715