Increased mortality of patients with aneurysmatic subarachnoid hemorrhage caused by prolonged transport time to a high-volume neurosurgical unit

Patients with aneurysmal subarachnoid haemorrhage treated in Swedish intensive care: A registry study

BACKGROUND

Aneurysmal subarachnoid haemorrhage (aSAH) is a life-threatening disease with high mortality and morbidity. Patients with aSAH in Sweden are cared for at one of six neuro intensive care units (NICU) or at a general intensive care unit (ICU).This study aimed to describe the incidence, length of stay, time in ventilator and mortality for these patients.

METHODS

This is a retrospective, descriptive study of patients with aSAH, registered in the Swedish Intensive care Registry between 2017 and 2019. The cohort was divided in sub-cohorts (NICU and general ICU) and regions. Mortality was analysed with logistic regression.

RESULTS

A total of 1520 patients with aSAH from five regions were included in the study. Mean age of the patients were 60.6 years and 58% were female. Mortality within 180 days of admission was 30% (n = 456) of which 17% (n = 258) died during intensive care. A majority of the patients were treated at one hospital and in one ICU (70%, n = 1062). More than half of the patients (59%, n = 897) had their first intensive care admission at a hospital with a NICU. Patients in the North region had the lowest median GCS (10) and the highest SAPS3 score (60) when admitted to NICU. Treatment with invasive mechanical ventilation differed significantly between regions; 91% (n = 80) in the region with highest proportion versus 56% (n = 94) in the region with the lowest proportion, as did mortality; 16% (n = 44) versus 8% (n = 23). No differences between regions were found regarding age, sex and length of stay.

CONCLUSIONS

Patients with aSAH treated in a NICU or in an ICU in Sweden differs in characteristics. The study further showed some differences between regions which might be reduced if there were national consensus and treatment guidelines implemented.

Factors affecting 30-day mortality in poor-grade aneurysmal subarachnoid hemorrhage: a 10-year single-center experience

Background

The management of patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH) is burdened by an unfavorable prognosis even with aggressive treatment. The aim of the present study is to investigate the risk factors affecting 30-day mortality in poor-grade aSAH patients.

Methods

We performed a retrospective analysis of a prospectively collected database of poor-grade aSAH patients (World Federation of Neurosurgical Societies, WFNS, grades IV and V) treated at our institution from December 2010 to December 2020. For all variables, percentages of frequency distributions were analyzed. Contingency tables (Chi-squared test) were used to assess the association between categorical variables and outcomes in the univariable analysis. Multivariable analysis was performed by using the multiple logistic regression method to estimate the odds ratio (OR) for 30-day mortality.

Results

A total of 149 patients were included of which 32% had WFNS grade 4 and 68% had WFNS grade 5. The overall 1-month mortality rate was 21%. On univariable analysis, five variables were found to be associated with the likelihood of death, including intraventricular hemorrhage (IVH ≥ 50 mL, p = 0.005), the total amount of intraventricular and intraparenchymal hemorrhage (IVH + ICH ≥ 90 mL, p = 0.019), the IVH Ratio (IVH Ratio ≥ 40%, p = 0.003), posterior circulation aneurysms (p = 0.019), presence of spot sign on initial CT scan angiography (p = 0.015).Nonetheless, when the multivariable analysis was performed, only IVH Ratio (p = 0.005; OR 3.97), posterior circulation aneurysms (p = 0.008; OR 4.05) and spot sign (p = 0.022; OR 6.87) turned out to be independent predictors of 30-day mortality.

Conclusion

The risk of mortality in poor-grade aSAH remains considerable despite maximal treatment. Notwithstanding the limitations of a retrospective study, our report highlights some neuroradiological features that in the emergency setting, combined with leading clinical and anamnestic parameters, may support the multidisciplinary team in the difficult decision-making process and communication with family members from the earliest stages of poor-grade aSAH. Further prospective studies are warranted.

Artificial Intelligence Trained by Deep Learning Can Improve Computed Tomography Diagnosis of Nontraumatic Subarachnoid Hemorrhage by Nonspecialists

Subarachnoid hemorrhage (SAH) is a serious cerebrovascular disease with a high mortality rate and is known as a disease that is hard to diagnose because it may be overlooked by noncontrast computed tomography (NCCT) examinations that are most frequently used for diagnosis. To create a system preventing this oversight of SAH, we trained artificial intelligence (AI) with NCCT images obtained from 419 patients with nontraumatic SAH and 338 healthy subjects and created an AI system capable of diagnosing the presence and location of SAH. Then, we conducted experiments in which five neurosurgery specialists, five nonspecialists, and the AI system interpreted NCCT images obtained from 135 patients with SAH and 196 normal subjects. The AI system was capable of performing a diagnosis of SAH with equal accuracy to that of five neurosurgery specialists, and the accuracy was higher than that of nonspecialists. Furthermore, the diagnostic accuracy of four out of five nonspecialists improved by interpreting NCCT images using the diagnostic results of the AI system as a reference, and the number of oversight cases was significantly reduced by the support of the AI system. This is the first report demonstrating that an AI system improved the diagnostic accuracy of SAH by nonspecialists.

Time and predictors of time to treatment for aneurysmal subarachnoid haemorrhage (aSAH): a systematic review

BACKGROUND

Aneurysmal subarachnoid haemorrhage (aSAH) is a serious form of stroke, for which rapid access to specialist neurocritical care is associated with better outcomes. Delays in the treatment of aSAH appear to be common and may contribute to poor outcomes. We have a limited understanding of the extent and causes of these delays, which hinders the development of interventions to reduce delays and improve outcomes. The aim of this systematic review was to quantify and identify factors associated with time to treatment in aSAH.

METHODS

This systematic review was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines and was registered in PROSPERO (Reg. No. CRD42019132748). We searched four electronic databases (MEDLINE, EMBASE, Web of Science and Google Scholar) for manuscripts published from January 1998 using pre-designated search terms and search strategy. Main outcomes were duration of delays of time intervals from onset of aSAH to definitive treatment and/or factors related to time to treatment.

RESULTS

A total of 64 studies with 16 different time intervals in the pathway of aSAH patients were identified. Measures of time to treatment varied between studies (e.g. cut-off timepoints or absolute mean/median duration). Factors associated with time to treatment fell into two categories-individual (n = 9 factors, e.g. age, sex and clinical characteristics) and health system (n = 8 factors, e.g. pre-hospital delay or presentation out-of-hours). Demographic factors were not associated with time to treatment. More severe aSAH reduced treatment delay in most studies. Pre-hospital delays (patients delay, late referral, late arrival of ambulance, being transferred between hospitals or arriving at the hospital outside of office hours) were associated with treatment delay. In-hospital factors (patients with complications, procedure before definitive treatment, slow work-up and type of treatment) were less associated with treatment delay.

CONCLUSIONS

The pathway from onset to definitive treatment of patients with aSAH consists of multiple stages with multiple influencing factors. This review provides the first comprehensive understanding of extent and factors associated with time to treatment of aSAH. There is an opportunity to target modifiable factors to reduce time to treatment, but further research considering more factors are needed.

Trends in Hospital-to-Hospital Transfers for Aneurysmal Subarachnoid Hemorrhage: A Single-Institution Experience from 2006 to 2017

BACKGROUND

Despite evidence to support that aneurysmal subarachnoid hemorrhage (aSAH) is best treated at high-volume centers, it is unknown whether clinical practice reflects these findings.

METHODS

We analyzed patients transferred to our high-volume center for aSAH between 2006 and 2017. Data collection included number of transfers, demographic data, Hunt and Hess score, Fisher score, comorbid conditions, length of stay (LOS), discharge disposition, in-hospital mortality rates, insurance status, and hospital charges. Comparisons were made across 3 time periods (2006-2009, 2010-2013, and 2014-2017) and included subgroup analyses by treatment modality (endovascular vs. microsurgical).

RESULTS

aSAH transfers declined from 213 in 2006-2009 to 160 in 2014-2017. While there was no change in presenting Hunt and Hess scores, the percentage of modified Fisher scores of 4 increased from 2006-2009 to 2014-2017. Transferred patients had a greater comorbidity index and decreased predicted 10-year survival. Despite this, the average LOS decreased. In-hospital mortality decreased from 2006-2009 to 2014-2017, especially in the endovascular cohort. The proportions of patients who were either self-pay or Medicaid did not change. Overall inflation-adjusted hospital charges decreased from $76,975 in 2006-2009 to $59,870 in 2014-2017.

CONCLUSIONS

Between 2006 and 2017, transfers to our center for aSAH declined. However, transferred patients had greater levels of complexity, more comorbidities, and were at greater risk for vasospasm based on their presenting Fisher score. Nonetheless, average LOS, in-hospital mortality, and cost declined. These changing referral patterns have implications for outcome data, quality reporting, resident education, and developing systems of care to optimize outcomes.

Assessing geriatric patients with head injury in the emergency department using the novel level III trauma protocol

INTRODUCTION

Intracranial injury in elderly patients presenting with minor head trauma is often overlooked in the emergency department (ED). Our suburban community-based level II trauma hospital developed and implemented the level III trauma protocol (L3TP) in January 2016 to better evaluate and diagnose intracranial injury in elderly patients presenting with minor head trauma after a fall. The L3TP requires that the ED physician immediately assess all patients meeting the following criteria 1) Age ≥ 65 years old. 2) Currently taking any anticoagulant or antiplatelet agents. 3) Presenting in the ED with a potential head injury after a fall. The ED physician determines if these high-risk patients require emergent imaging, obviating the need for trauma team activation unless an intracranial hemorrhage (ICH) is found. The purpose of this study was to assess the impact of the novel L3TP on resource utilization and patient outcome.

METHODS

Our retrospective cohort study included patients who met the L3TP inclusion criteria and had an ICH diagnosed by non-contrast computed tomography (CT). We compared patients triaged by the L3TP (January to December 2017) to patients triaged before the L3TP was implemented (January to August 2015) in order to assess the impact of the L3TP on resource utilization and patient outcome. The data was analyzed using two independent samples t-tests and Chi-square tests.

RESULTS

Patients triaged by the L3TP had a significantly shorter average length of time from arrival in the ED to CT (level III trauma 0.64 h vs control 2.37 h, (d = 1.73; 95% CI = 1.42, 2.04), p ≤ 0.0001) and ED length of stay (level III trauma 2.55 h vs control 4.72 h, (d = 2.17; 95% CI = 1.21, 3.13), p ≤ 0.0001). There was insufficient evidence to conclude that there was any difference in health outcomes between the control and level III trauma groups.

CONCLUSION

The L3TP is an effective and resource efficient protocol that quickly identifies ICH in elderly patients without activating the trauma team for every elderly patient presenting to the ED with a potential head injury after a fall.

Trends in Incidence and Mortality by Hospital Teaching Status and Location in Aneurysmal Subarachnoid Hemorrhage

OBJECTIVES

Few studies have examined the impact of teaching status and location on outcomes in subarachnoid hemorrhage (SAH). The objective of the present study was to compare mortality and functional outcomes among urban teaching, urban nonteaching, and rural centers for hospitalizations with SAH.

METHODS

The National Inpatient Sample for years 2003-2016 was queried for hospitalizations with aneurysmal SAH from 2003 to 2017. Cohorts treated at urban teaching, urban nonteaching, and rural centers were compared with the urban teaching center cohort acting as the reference. The National Inpatient Sample Subarachnoid Hemorrhage Outcome Measure, a validated measure of SAH functional outcome, was used as a coprimary outcome with mortality. Multivariable models adjusted for age, sex, NIH-SSS score, hypertension, and hospital bed size. Trends in SAH mortality rates were calculated.

RESULTS

There were 379,716 SAH hospitalizations at urban teaching centers, 105,638 at urban nonteaching centers, and 17,165 at rural centers. Adjusted mortality rates for urban teaching centers were lower than urban nonteaching (21.90% vs. 25.00%, P < 0.0001) and rural (21.90% vs. 30.90%, P < 0.0001) centers. While urban teaching (24.74% to 21.22%) and urban nonteaching (24.78% to 23.68%) had decreases in mortality rates over the study period, rural hospitals showed increased mortality rates (25.67% to 33.38%).

CONCLUSIONS

Rural and urban nonteaching centers have higher rates of mortality from SAH than urban teaching centers. Further study is necessary to understand drivers of these differences.

The path from ictus to Neurosurgery: chronology and transport logistics of patients with aneurysmal subarachnoid haemorrhage in the South-Eastern Norway Health Region

BACKGROUND

Guidelines state that patients with aneurysmal subarachnoid haemorrhage (aSAH) require neurosurgical treatment as early as possible. Little is known about the time frame of transport from the ictus scene to Neurosurgery in large, partially remote catchment areas. We therefore analysed the chronology and transport logistics of aSAH patients in the South-Eastern Norway Health Region and related them to the frequency of aneurysm rebleed and 1-year mortality.

METHODS

Retrospective analysis of aSAH patients bleeding within our region admitted to Neurosurgery during a 5-year period. Date, time and site of ictus and arrival at Neurosurgery, distance and mode of transport and admission were obtained from our institutional quality register and the emergency medical communication centre log. We scored the patients' clinical condition, rebleeds and 1-year mortality.

RESULTS

Five hundred forty-four patients were included. Median time from ictus to arrival Neurosurgery was 4.5 h. Transport by road ambulance was most common at distances between the ictus scene and Neurosurgery below 50 km, whereas airborne transport became increasingly more common at larger distances. Direct admissions, frequency of intubation and airborne transport to Neurosurgery increased with the severity of haemorrhage, leading to shorter transport times. The risk of rebleed was 0.8%/hour of transport. The rebleed rate was independent of distances travelled, but increased with the severity of aSAH, reaching up to 6.54%/hour in poor-grade patients. Distance and time of transport had no impact on 1-year mortality, whereas poor-grade aSAH and rebleed were strong predictors of mortality.

CONCLUSIONS

Poor-grade aSAH patients have a high risk of rebleed independent of the distance between the ictus scene and Neurosurgery. As rebleeding triples 1-year mortality, patients with Glasgow Coma Score < 9 with suspected aSAH should be admitted directly to Neurosurgery without delay after best possible cardiovascular and airway optimisation on site by competent personnel.

Misdiagnosis of acute subarachnoid hemorrhage in the era of multimodal diagnostic options

OBJECTIVE

Patients suffering from aneurysmatic Subarachnoid Hemorrhage (SAH) may present with a variety of symptoms. The aim of this study is to evaluate the spectrum of misdiagnoses and to analyze the significance of delay of correct diagnosis on the clinical outcome.

METHODS

The data was collected prospectively from 2003 to 2013. Patients diagnosed with disease different from aneurysmal SAH by the initially treating physician, and admitted to our department with a delay of at least 24 h after the beginning of the symptoms, were included in this study. We analyzed the various diagnoses that were ascertained instead of SAH and which medical specialty had provided them.

RESULTS

Overall 704 patients were treated with acute SAH. The inclusion criteria were matched in 76 patients (13.7%). Eleven specialties were involved in the initial patients' treatment. The time interval between initial symptoms and neurosurgical admission varied enormously. Statistically, higher Hunt & Hess score did not lead to an earlier diagnosis (p = 0.56) nor did localisation of the aneurysm (p = 0.75). Lower Fisher score was led to delayed diagnosis (p = 0.02). Delay of diagnosis was not significantly associated with the outcome (p = 0.08) whereas Hunt & Hess grade on admission was a strong predictor for bad outcome (p = 0.00001) as was cerebral vasospasm on the first angiogram (p < 0.05).

CONCLUSION

A straightforward diagnosis of SAH despite diffuse and unspecific symptoms is crucial for the successful treatment of these patients, especially with high grade SAH.

Aneurysmal Subarachnoid Hemorrhage

BACKGROUND

Aneurysmal subarachnoid hemorrhage (SAH) is associated with a mortality of more than 30%. Only about 30% of patients with SAB recover sufficiently to return to independent living.

METHODS

This article is based on a selective review of pertinent literature retrieved by a PubMed search.

RESULTS

Acute, severe headache, typically described as the worst headache of the patient's life, and meningismus are the characteristic manifestations of SAH. Computed tomog raphy (CT) reveals blood in the basal cisterns in the first 12 hours after SAH with approximately 95% sensitivity and specificity. If no blood is seen on CT, a lumbar puncture must be performed to confirm or rule out the diagnosis of SAH. All patients need intensive care so that rebleeding can be avoided and the sequelae of the initial bleed can be minimized. The immediate transfer of patients with acute SAH to a specialized center is crucially important for their outcome. In such centers, cerebral aneurysms can be excluded from the circulation either with an interventional endovascular procedure (coiling) or by microneurosurgery (clipping).

CONCLUSION

SAH is a life-threatening condition that requires immediate diagnosis, transfer to a neurovascular center, and treatment without delay.

Predictors of In-Hospital Death After Aneurysmal Subarachnoid Hemorrhage: Analysis of a Nationwide Database (Swiss SOS [Swiss Study on Aneurysmal Subarachnoid Hemorrhage])

BACKGROUND AND PURPOSE

To identify predictors of in-hospital mortality in patients with aneurysmal subarachnoid hemorrhage and to estimate their impact.

METHODS

Retrospective analysis of prospective data from a nationwide multicenter registry on all aneurysmal subarachnoid hemorrhage cases admitted to a tertiary neurosurgical department in Switzerland (Swiss SOS [Swiss Study on Aneurysmal Subarachnoid Hemorrhage]; 2009-2015). Both clinical and radiological independent predictors of in-hospital mortality were identified, and their effect size was determined by calculating adjusted odds ratios (aORs) using multivariate logistic regression. Survival was displayed using Kaplan-Meier curves.

RESULTS

Data of n=1866 aneurysmal subarachnoid hemorrhage patients in the Swiss SOS database were available. In-hospital mortality was 20% (n=373). In n=197 patients (10.6%), active treatment was discontinued after hospital admission (no aneurysm occlusion attempted), and this cohort was excluded from analysis of the main statistical model. In the remaining n=1669 patients, the rate of in-hospital mortality was 13.9% (n=232). Strong independent predictors of in-hospital mortality were rebleeding (aOR, 7.69; 95% confidence interval, 3.00-19.71; P<0.001), cerebral infarction attributable to delayed cerebral ischemia (aOR, 3.66; 95% confidence interval, 1.94-6.89; P<0.001), intraventricular hemorrhage (aOR, 2.65; 95% confidence interval, 1.38-5.09; P=0.003), and new infarction post-treatment (aOR, 2.57; 95% confidence interval, 1.43-4.62; P=0.002).

CONCLUSIONS

Several-and among them modifiable-factors seem to be associated with in-hospital mortality after aneurysmal subarachnoid hemorrhage. Our data suggest that strategies aiming to reduce the risk of rebleeding are most promising in patients where active treatment is initially pursued.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT03245866.