A retrospective analysis of emergency referrals and admissions to a regional neurosurgical centre 2016-2018

Pediatric Patients with Intracranial Arteriovenous Malformations: Trends in Emergency Room Presentation

BACKGROUND

Pediatric intracranial arteriovenous malformation (AVM) patients are commonly admitted to the emergency room (ER). Increasing patient utilization of the ER has been associated with healthcare disparities and a trend of decreased efficiency. The aim of this study was to evaluate the trends of pediatric AVM ER admissions over recent years and identify factors associated with health care resource utilization and outcomes.

METHODS

The 2016-2019 National Inpatient Sample was queried for patients under the age of 18 admitted with AVM. Cases of admission through the ER were identified. Demographic and severity factors associated with ER admission were explored using comparative and regression statistics.

RESULTS

Of 3875 pediatric patients with AVM admitted between 2016 and 2019, 1280 (33.0%) were admitted via the ER. Patients admitted via the ER were more likely to be in the lowest median income category (P < 0.001), on Medicaid insurance (P = 0.008), or in the South (P < 0.001) than patients admitted otherwise. There was increased severity and increased rates of intracranial hemorrhage (ICH) in patients admitted via the ER (P < 0.001). Finally, there were increasing trends in ER admissions and ICH throughout the years.

CONCLUSIONS

ER admission of pediatric AVM patients with ICH is increasing and is associated with a distinct socioeconomic profile and increased healthcare resource utilization. These findings may reflect decreased access to more advanced diagnostic modalities, primary care, and other important resources. Identifying populations with barriers to care is likely an important component of policy aimed at decreasing the risk of severe disease presentation.

Use of an Online Referral Service for Acute Neurosurgical Referrals: An Institutional Experience

OBJECTIVE

We sought to review the current scope of emergency neurosurgical referrals and examine the long-term use of a web-based referral system.

METHODS

This was a single-center retrospective observational study. Referral information was collected retrospectively over a 1-year period after the implementation of a web-based referral system (June 2019-June 2020). Information such as demographics, clinical information, referrer details, and neurosurgical response times and outcomes were collected. Statistical analyses were performed using R Version 6.3.1.

RESULTS

Our unit received 5949 referrals with a median age of 63 years old (range: 0-107 years) (male = 50.3%). We observed an average of 16.3 referrals per day (range: 4-32), with Fridays having the highest average and the weekend days receiving statistically fewer referrals (P < 0.001). More than a third (35.9%) of referrals occurred within hours (8:00-17:00 Monday-Friday), with A + E making up approximately 50% of referrals. Common reasons for referral were traumatic brain injury, intracranial tumors, and degenerative spine. The median time from referral to first response was 32 minutes, occurring within an hour in 72.9% of cases. The median time to definite response was 83 minutes, occurring within 2 hours in 58.2% of cases. Factors found to impact the response time were referral emergency and time of day. Our acceptance rate over this period was 18.5%.

CONCLUSIONS

With an increasing number of referrals, it is feasible to provide traceable advice in a timely manner through an electronic web-based referral system transferable to any specialty. Insights could be used to direct resources and workforce planning according to emergency referral patterns.

Analyzing historical and future acute neurosurgical demand using an AI-enabled predictive dashboard

Characterizing acute service demand is critical for neurosurgery and other emergency-dominant specialties in order to dynamically distribute resources and ensure timely access to treatment. This is especially important in the post-Covid 19 pandemic period, when healthcare centers are grappling with a record backlog of pending surgical procedures and rising acute referral numbers. Healthcare dashboards are well-placed to analyze this data, making key information about service and clinical outcomes available to staff in an easy-to-understand format. However, they typically provide insights based on inference rather than prediction, limiting their operational utility. We retrospectively analyzed and prospectively forecasted acute neurosurgical referrals, based on 10,033 referrals made to a large volume tertiary neurosciences center in London, U.K., from the start of the Covid-19 pandemic lockdown period until October 2021 through the use of a novel AI-enabled predictive dashboard. As anticipated, weekly referral volumes significantly increased during this period, largely owing to an increase in spinal referrals (p < 0.05). Applying validated time-series forecasting methods, we found that referrals were projected to increase beyond this time-point, with Prophet demonstrating the best test and computational performance. Using a mixed-methods approach, we determined that a dashboard approach was usable, feasible, and acceptable among key stakeholders.

The Impact of COVID-19 on the Functioning of a Neurosurgical Service at a Tertiary Institute in a Low-Resource Setting

Objective

During the COVID-19 pandemic, certain precautionary measures were implemented to limit its effect, including the cancellation of clinics and elective surgical lists. To determine the impact, if any, of the pandemic on the running of a neurosurgical service, an audit was performed on the volume of referrals, admissions and type of surgeries performed at a tertiary institute in a low-resource setting.

Methods

An audit of the neurosurgical department’s database was performed on the number of referrals, admissions, surgical procedures, and types of procedures done at the San Fernando General Hospital. This was divided into two 15-month periods, pre-pandemic (January 1, 2019 to March 31, 2020) and intra-pandemic (April 1, 2020 - June 30, 2021).

Results

During the pre-pandemic period (January 1, 2019 - March 31, 2020), 2,597 patients were referred to the service and 309 major procedures were performed. Two thousand and forty-two patients were referred during the intra-pandemic (April 4, 2020 - June 30, 2021) period, with 354 surgeries performed.

More external ventricular drains (29 vs 50), craniotomies for trauma (73 vs 98), anterior cervical fusion (42 vs 47), lumbar fusions (9 vs 12), ventriculo-peritoneal shunts (16 vs 19) and aneurysm clipping (10 vs 13) were done during the intra-pandemic period.

Conclusion

Although elective surgical procedures and clinics were reduced, the number of patients seen and total procedures performed did not vary significantly. The neurosurgical pathology encountered remained constant during the pandemic. This shows the importance of maintaining a fully functional neurosurgical service, as we continue to adapt to the COVID-19 pandemic.

Neurosurgery in octogenarians during the COVID-19 pandemic: Results from a tertiary care trauma centre

Background

In 2020, 6% of Scotland's adult population was ≥80 years. Advancements in care mean improved chances of survival at 6-months for older adults following injury to the brain or spine. The Covid-19 pandemic also resulted in local and national policies aimed at protecting the elderly. We sought to evaluate referral patterns and outcomes for patients ≥80 years referred to our institution during this period.

Objective

To evaluate referral patterns and outcomes for patients ≥80 years referred to our institution both before and during the coronavirus pandemic.

Design

Retrospective observational cohort study.

Setting

Tertiary care in a developing major trauma centre (Queen Elizabeth University Hospital, Glasgow).

Participants

All patients ≥80 years referred to the on-call neurosurgical service over two four-month periods before (2016–17; n = 1573) and after the onset of Covid-19 (2020; n = 2014).

Methods

Data on demographics, ASA, diagnosis and referral decision were collected. 30-day and 6-month mortality and functional independence were assessed.

Results

246 (before) and 335 (during Covid-19) referred patients were ≥80 years. No gender bias. A significant increase (17%) in acute trauma was seen during the pandemic months. Fewer older adults were transferred (6% to 2% Covid-19) for specialist care, most commonly for chronic subdural haematoma. Most were alive, home and independent at 6 months (47% pre and 63% during Covid-19).

Conclusions

Octogenarians feature disproportionately in acute adult neurosurgical referrals. In our department, local and national responses to the Covid-19 pandemic did not appear to influence this. Robust evidence of neurosurgical outcomes in the older adult is required to fairly distribute resources for our ageing population, but decisions must not be based on age alone.