The Utility of Routine Intensive Care Admission for Patients Undergoing Intracranial Neurosurgical Procedures: A Systematic Review

Postoperative Surveillance in the Postoperative vs. Intensive Care Unit for Patients Undergoing Elective Supratentorial Brain Tumor Removal: A Retrospective Observational Study

Background: Recent evidence suggests that alternative postoperative surveillance approaches for patients undergoing elective neurosurgical procedures are less resource-intensive and result in similar or fewer complications compared to high-care settings such as Intensive Care Units (ICUs). A new postoperative care protocol was established at our facility including routine PACU admission and predefined criteria for ICU admission. We aimed to demonstrate that PACU admission is a safe option for patients undergoing elective craniotomy following eventless surgery. Methods: This retrospective analysis included patients undergoing elective supratentorial craniotomy before and after the implementation of the new protocol. Patients with surgery between January 2020 and January 2022 and routine ICU admission were compared to patients undergoing surgery between February 2022 and March 2023 with either PACU or ICU admission based on the new protocol regarding lengths of hospital stay (LOSs), costs, and complications. Results: Data from a total of 405 patients, 198 patients before and 209 patients after the protocol implementation, were included. Both groups were comparable regarding demographics, American Society of Anesthesiologists (ASA) physical status classification, preexisting health conditions, and tumor entity and volume. Postoperative LOSs were significantly shorter in PACU compared to ICU patients of the same cohort (6 d vs. 11 d, p = 0.002). Patients with postoperative PACU transfer suffered fewer intracranial infections, surgical site infections, and pneumonia occurrences. Surgery-related complications, 30- and 90-day readmissions, and mortality rates were comparable in both groups. Conclusions: Postoperative PACU admission is a safe and viable option for patients undergoing elective craniotomy when selection is thorough and is associated with fewer ICU-related complications.

Routine ICU Surveillance after Brain Tumor Surgery: Patient Selection Using Machine Learning

Background/Objectives: Routine postoperative ICU admission following brain tumor surgery may not benefit selected patients. The objective of this study was to develop a risk prediction instrument for early (within 24 h) postoperative adverse events using machine learning techniques. Methods: Retrospective cohort of 1000 consecutive adult patients undergoing elective brain tumor resection. Nine events/interventions (CPR, reintubation, return to OR, mechanical ventilation, vasopressors, impaired consciousness, intracranial hypertension, swallowing disorders, and death) were chosen as target variables. Potential prognostic features (n = 27) from five categories were chosen and a gradient boosting algorithm (XGBoost) was trained and cross-validated in a 5 × 5 fashion. Prognostic performance, potential clinical impact, and relative feature importance were analyzed. Results: Adverse events requiring ICU intervention occurred in 9.2% of cases. Other events not requiring ICU treatment were more frequent (35% of cases). The boosted decision trees yielded a cross-validated ROC-AUC of 0.81 ± 0.02 (mean ± CI95) when using pre- and post-op data. Using only pre-op data (scheduling decisions), ROC-AUC was 0.76 ± 0.02. PR-AUC was 0.38 ± 0.04 and 0.27 ± 0.03 for pre- and post-op data, respectively, compared to a baseline value (random classifier) of 0.092. Targeting a NPV of at least 95% would require ICU admission in just 15% (pre- and post-op data) or 30% (only pre-op data) of cases when using the prediction algorithm. Conclusions: Adoption of a risk prediction instrument based on boosted trees can support decision-makers to optimize ICU resource utilization while maintaining adequate patient safety. This may lead to a relevant reduction in ICU admissions for surveillance purposes.

Intensive care unit admission criteria: a scoping review

Background

Effectively identifying deteriorated patients is vital to the development and validation of automated systems designed to predict clinical deterioration. Existing outcome measures used for this purpose have significant limitations. Published criteria for admission to high acuity inpatient areas may represent markers of patient deterioration and could inform the development of alternate outcome measures.

Objectives

In this scoping review, we aimed to characterise published criteria for admission of adult inpatients to high acuity inpatient areas including intensive care units. A secondary aim was to identify variables that are extractable from electronic health records (EHRs).

Data sources

Electronic databases PubMed and ProQuest EBook Central were searched to identify papers published from 1999 to date of search. We included publications which described prescriptive criteria for admission of adult inpatients to a clinical area with a higher level of care than a general hospital ward.

Charting methods

Data was extracted from each publication using a standardised data-charting form. Admission criteria characteristics were summarised and cross-tabulated for each criterion by population group.

Results

Five domains were identified: diagnosis-based criteria, clinical parameter criteria, organ-support criteria, organ-monitoring criteria and patient baseline criteria. Six clinical parameter-based criteria and five needs-based criteria were frequently proposed and represent variables extractable from EHRs. Thresholds for objective clinical parameter criteria varied across publications, and by disease subgroup, and universal cut-offs for criteria could not be elucidated.

Conclusions

This study identified multiple criteria which may represent markers of deterioration. Many of the criteria are extractable from the EHR, making them potential candidates for future automated systems. Variability in admission criteria and associated thresholds across the literature suggests clinical deterioration is a heterogeneous phenomenon which may resist being defined as a single entity via a consensus-driven process.

Nationwide trends in intensive care unit utilization in the elective endovascular treatment of unruptured intracranial aneurysms

OBJECTIVE

Multiple studies suggest routine post-operative intensive care unit (ICU) stays after endovascular treatment (EVT) of unruptured intracranial aneurysms (UIAs) is unnecessary, though rates of ICU utilization nationwide are unknown. We aim to evaluate rates and characteristics of ICU utilization in patients undergoing elective endovascular repair of UIAs.

METHODS

This is a retrospective cohort study utilizing a nationwide private-payer database in the United States to evaluate the ICU utilization in patients undergoing elective endovascular repair of UIAs between 2005 and 2019. Demographics and pre-operative comorbidities as well as post-procedural complications and discharge status were compared. An analysis of charges and costs was also performed.

RESULTS

Among 6218 patients who underwent elective EVT of a UIA, 4890 (78.6%) were admitted to the ICU post-operatively. There were no differences in age, sex, or Charlson comorbidity scores in patients admitted to the ICU post-operatively compared to those admitted elsewhere. ICU utilization was more common in urban locations compared to rural. 12.7% of patients had ICU-specific needs sufficient to be billed by a critical care provider. Total provider costs were significantly higher in patients utilizing the ICU post-operatively, even among uncomplicated patients with routine discharges.

CONCLUSION

Most patients undergoing elective endovascular UIA repair in the United States are admitted to the ICU postoperatively. Only 12.7% have ICU needs, and these patients are predictable from pre-operative characteristics or peri-operative complications. Reducing ICU use in this subgroup of patients may be an important target to improve healthcare value in this patient population.

Association of Complication Rates and Intensive Care Unit Use With Sinonasal and Skull Base Malignancies: A Propensity Score Matching Analysis

Background: Patients with sinonasal and skull base malignancies experience many types of complications after surgery. The intensive care unit (ICU) provides a high level of care for these patients; however, the effect of ICU care on complication rates remains unclear. Methods: Between November 2014 and November 2022, we retrospectively analyzed 151 patients with sinonasal and skull base malignancies. Fifty-six of these patients were admitted to the ICU and 95 were admitted to the non-ICU after surgery. Propensity score matching (PSM) was performed to balance baseline characteristics. The complication rates of the ICU and non-ICU groups were compared. Results: Before PSM, the complication rate was 28.5%. Patients admitted to the ICU had a higher incidence of medical complications (P = .032). Orbital injury (n = 9) and diplopia or visual changes (n = 9) were the most common surgical complications, whereas respiratory tract infections (n = 7) were the most common medical complications. After PSM, the incidences of surgical, medical, and all complications in the ICU and non-ICU groups were 23.8% and 19.0% (P = .791), 16.7% and 9.5% (P = .520), and 38.1% and 26.2% (P = .350), respectively. Conclusions: This preliminary study revealed that ICU admission did not reduce the complication rate of patients with sinonasal and skull base malignancies. Further studies are required to validate these findings and clarify the potential role of the ICU.

Reduced time to imaging, length of stay, and hospital charges following implementation of a novel postoperative pathway for craniotomy

OBJECTIVE

The authors created a postoperative postanesthesia care unit (PACU) pathway to bypass routine intensive care unit (ICU) admissions of patients undergoing routine craniotomies, to improve ICU resource utilization and reduce overall hospital costs and lengths of stay while maintaining quality of care and patient satisfaction. In the present study, the authors evaluated this novel PACU-to-floor clinical pathway for a subset of patients undergoing craniotomy with a case time under 5 hours and blood loss under 500 ml.

METHODS

A single-institution retrospective cohort study was performed to compare 202 patients enrolled in the PACU-to-floor pathway and 193 historical controls who would have met pathway inclusion criteria. The pathway cohort consisted of all adult supratentorial brain tumor cases from the second half of January 2021 to the end of January 2022 that met the study inclusion criteria. Control cases were selected from the beginning of January 2020 to halfway through January 2021. The authors also discuss common themes of similar previously published pathways and the logistical and clinical barriers overcome for successful PACU pathway implementation.

RESULTS

Pathway enrollees had a median age of 61 years (IQR 49-69 years) and 53% were female. Age, sex, pathology, and American Society of Anesthesiologists physical status distributions were similar between pathway and control patients (p > 0.05). Most of the pathway cases (96%) were performed on weekdays, and 31% had start times before noon. Nineteen percent of pathway patients had 30-day readmissions, most frequently for headache (16%) and syncope (10%), whereas 18% of control patients had 30-day readmissions (p = 0.897). The average time to MRI was 6 hours faster for pathway patients (p < 0.001) and the time to inpatient physical therapy and/or occupational therapy evaluation was 4.1 hours faster (p = 0.046). The average total length of stay was 0.7 days shorter for pathway patients (p = 0.02). A home discharge occurred in 86% of pathway cases compared to 81% of controls (p = 0.225). The average total hospitalization charges were $13,448 lower for pathway patients, representing a 7.4% decrease (p = 0.0012, adjusted model). Seven pathway cases were escalated to the ICU postoperatively because of attending physician preference (2 cases), agitation (1 case), and new postoperative neurological deficits (4 cases), resulting in a 96.5% rate of successful discharge from the pathway. In bypassing the ICU, critical care resource utilization was improved by releasing 0.95 ICU days per patient, or 185 ICU days across the cohort.

CONCLUSIONS

The featured PACU-to-floor pathway reduces the stay of postoperative craniotomy patients and does not increase the risk of early hospital readmission.

POST-OPERATIVE INTENSIVE CARE UNIT ADMISSION FOR ELECTIVE BRAIN TUMOUR SURGERIES: A NIGERIAN NEUROSURGICAL UNIT EXPERIENCE

Background

Patients, post elective brain tumour surgeries, are usually admitted into the Intensive Care Unit (ICU) for quick identification of life-threatening complications or for elective ventilation. The Covid-19 pandemic exerted additional strain on the limited ICU spaces. This study was to probe the need for ICU admission following elective surgery for brain tumour in our environment on the background of enormous constraints.

Methods

Data was collected prospectively from patients who had elective brain tumour surgery over 12-months at the University College Hospital, Ibadan. Data included the indications for ICU admission and outcome. Chi-square test and Student t-test were used for analysis at α ≤ 0.05.

Results

There were 56 patients with a mean age of 44.6 years and M:F ratio of 1:1. 61.8% of the patients were admitted into the ICU for observation. Patients who had open surgeries were 2 times more likely to be admitted (p<0.01; OR = 2.2, CI: 2.0 - 36.8) than those who had endoscopic surgeries. Awake craniotomy patients did not require ICU care compared with the 63% of the patients who had General Anaesthesia + Endo Tracheal Tube (GA+ETT). Patients with skull base and posterior fossa tumours were more likely to be admitted into the ICU (p=0.036). Of the 34 patients admitted into the ICU, 11(19.6%) had prolonged ICU stay and were 2 times more likely to die compared with those with short admissions (p<0.01; OR = 2.5, CI: 2.29 - 70.02).

Conclusion

Observation is the main reason patients are admitted into the ICU. The endoscopic and awake surgery approaches appear to preclude the need for ICU admission, thus capable of cutting costs.

Association of the classification of intraoperative adverse events (ClassIntra) with complications and neurological outcome after neurosurgical procedures: a prospective cohort study

PURPOSE

To analyze the reliability of the classification of intraoperative adverse events (ClassIntra) to reflect intraoperative complications of neurosurgical procedures and the potential to predict the postoperative outcome including the neurological performance. The ClassIntra classification was recently introduced and found to be reliable for assessing intraoperative adverse events and predicting postoperative complications across different surgical disciplines. Nevertheless, its potential role for neurosurgical procedures remains elusive.

METHODS

This is a prospective, monocentric cohort study assessing the ClassIntra in 422 adult patients who underwent a neurosurgical procedure and were hospitalized between July 1, 2021, to December 31, 2021. The primary outcome was the occurrence of intraoperative complications graded according to ClassIntra and the association with postoperative outcome reflected by the Clavien-Dindo classification and comprehensive complication index (CCI). The ClassIntra is defined as intraoperative adverse events as any deviation from the ideal course on a grading scale from grade 0 (no deviation) to grade V (intraoperative death) and was set at sign-out in agreement between neurosurgeon and anesthesiologist. Secondary outcomes were the neurological outcome after surgery as defined by Glasgow Coma Scale (GCS), modified Rankin scale (mRS), Neurologic Assessment in Neuro-Oncology (NANO) scale, National Institute Health of Strokes Scale (NIHSS), and Karnofsky Performance Score (KPS), and need for unscheduled brain scan.

RESULTS

Of 442 patients (mean [SD] age, 56.1 [16.2]; 235 [55.7%] women and 187 [44.3%] men) who underwent a neurosurgical procedure, 169 (40.0%) patients had an intraoperative adverse event (iAE) classified as ClassIntra I or higher. The NIHSS score at admission (OR, 1.29; 95% CI, 1.03-1.63, female gender (OR, 0.44; 95% CI, 0.23-0.84), extracranial procedures (OR, 0.17; 95% CI, 0.08-0.61), and emergency cases (OR, 2.84; 95% CI, 1.53-3.78) were independent risk factors for a more severe iAE. A ClassIntra ≥ II was associated with increased odds of postoperative complications classified as Clavien-Dindo (p < 0.01), neurological deterioration at discharge (p < 0.01), prolonged hospital (p < 0.01), and ICU stay (p < 0.01). For elective craniotomies, severity of ClassIntra was associated with the CCI (p < 0.01) and need for unscheduled CT or MRI scan (p < 0.01). The proportion of a ClassIntra ≥ II was significantly higher for emergent craniotomies (56.2%) and associated with in-hospital mortality, and an unfavorable neurological outcome (p < 0.01).

CONCLUSION

Findings of this study suggest that the ClassIntra is sensitive for assessing intraoperative adverse events and sufficient to identify patients with a higher risk for developing postoperative complications after a neurosurgical procedure.

Routine ICU admission after brain tumor surgery: retrospective validation and critical appraisal of two prediction scores

BACKGROUND

Routine admission to an intensive care unit (ICU) following brain tumor surgery has been a common practice for many years. Although this practice has been challenged by many authors, it has still not changed widely, mainly due to the lack of reliable data for preoperative risk assessment. Motivated by this dilemma, risk prediction scores for postoperative complications following brain tumor surgery have been developed recently. In order to improve the ICU admission policy at our institution, we assessed the applicability, performance, and safety of the two most appropriate risk prediction scores.

METHODS

One thousand consecutive adult patients undergoing elective brain tumor resection within 19 months were included. Patients with craniotomy for other causes, i.e., cerebral aneurysms and microvascular decompression, were excluded. The decision for postoperative ICU-surveillance was made by joint judgment of the operating surgeon and the anesthesiologist. All data and features relevant to the scores were extracted from clinical records and subsequent ICU or neurosurgical floor documentation was inspected for any postoperative adverse events requiring ICU admission. The CranioScore derived by Cinotti et al. (Anesthesiology 129(6):1111-20, 5) and the risk assessment score of Munari et al. (Acta Neurochir (Wien) 164(3):635-641, 15) were calculated and prognostic performance was evaluated by ROC analysis.

RESULTS

In our cohort, both scores showed only a weak prognostic performance: the CranioScore reached a ROC-AUC of 0.65, while Munari et al.'s score achieved a ROC-AUC of 0.67. When applying the recommended decision thresholds for ICU admission, 64% resp. 68% of patients would be classified as in need of ICU surveillance, and the negative predictive value (NPV) would be 91% for both scores. Lowering the thresholds in order to increase patient safety, i.e., 95% NPV, would lead to ICU admission rates of over 85%.

CONCLUSION

Performance of both scores was limited in our cohort. In practice, neither would achieve a significant reduction in ICU admission rates, whereas the number of patients suffering complications at the neurosurgical ward would increase. In future, better risk assessment measures are needed.

A Protocol for Reducing Intensive Care Utilization After Craniotomy: A 3-Year Assessment

BACKGROUND

Craniotomy patients have traditionally received intensive care unit (ICU) care postoperatively. Our institution developed the "Non-Intensive CarE" (NICE) protocol to identify craniotomy patients who did not require postoperative ICU care.

OBJECTIVE

To determine the longitudinal impact of the NICE protocol on postoperative length of stay (LOS), ICU utilization, readmissions, and complications.

METHODS

In this retrospective cohort study, our institution's electronic medical record was queried to identify craniotomies before protocol deployment (May 2014-May 2018) and after deployment (May 2018-December 2021). The primary end points were average postoperative LOS and ICU utilization; secondary end points included readmissions, reoperation, and postoperative complications rate. End points were compared between pre- and postintervention cohorts.

RESULTS

Four thousand eight hundred thirty-seven craniotomies were performed from May 2014 to December 2021 (2302 preprotocol and 2535 postprotocol). Twenty-one percent of postprotocol craniotomies were enrolled in the NICE protocol. After protocol deployment, the overall postoperative LOS decreased from 4.0 to 3.5 days ( P = .0031), which was driven by deceased postoperative LOS among protocol patients (average 2.4 days). ICU utilization decreased from 57% of patients to 42% ( P < .0001), generating ∼$760 000 in savings. Return to the ICU and complications decreased after protocol deployment. 5.8% of protocol patients had a readmission within 30 days; none could have been prevented through ICU stay.

CONCLUSION

The NICE protocol is an effective, sustainable method to increase ICU bed availability and decrease costs without changing outcomes. To our knowledge, this study features the largest series of patients enrolling in an ICU utilization reduction protocol. Careful patient selection is a requirement for the success of this approach.

Unplanned Post-Anesthesia Care Unit to ICU Transfer Following Cerebral Surgery: A Retrospective Study

Background: Unplanned transfer to intensive care unit (ICU) lead to reduced trust of patients and their families in medical staff and challenge medical staff to allocate scarce ICU resources. This study aimed to explore the incidence and risk factors of unplanned transfer to ICU during emergence from general anesthesia after cerebral surgery, and to provide guidelines for preventing unplanned transfer from post-anesthesia care unit (PACU) to ICU following cerebral surgery. Methods: This was a retrospective case-control study and included patients with unplanned transfer from PACU to ICU following cerebral surgery between January 2016 and December 2020. The control group comprised patients matched (2:1) for age (±5 years), sex, and operation date (±48 hours) as those in the case group. Stata14.0 was used for statistical analysis, and p < .05 indicated statistical significance. Results: A total of 11,807 patients following cerebral surgery operations were cared in PACU during the study period. Of the 11,807 operations, 81 unscheduled ICU transfer occurred (0.686%). Finally, 76 patients were included in the case group, and 152 in the control group. The following factors were identified as independent risk factors for unplanned ICU admission after neurosurgery: low mean blood oxygen (OR = 1.57, 95%CI: 1.20-2.04), low mean albumin (OR = 1.14, 95%CI: 1.03-1.25), slow mean heart rate (OR = 1.04, 95%CI: 1.00-1.08), blood transfusion (OR = 2.78, 95%CI: 1.02-7.58), emergency surgery (OR = 3.08, 95%CI: 1.07-8.87), lung disease (OR = 2.64, 95%CI: 1.06-6.60), and high mean blood glucose (OR = 1.71, 95%CI: 1.21-2.41). Conclusion: We identified independent risk factors for unplanned transfer from PACU to ICU after cerebral surgery based on electronic medical records. Early identification of patients who may undergo unplanned ICU transfer after cerebral surgery is important to provide guidance for accurately implementing a patient's level of care.

Routine postoperative admission to the neurocritical intensive care unit after microvascular decompression: necessary or can it be abandoned?

Postoperative neurocritical intensive care unit (NICU) admission of patients who underwent craniotomy for close observation is common practice. In this study, we performed a comparative analysis to determine if there is a real need for NICU admission after microvascular decompression (MVD) for cranial nerve disorders or whether it may be abandoned. The present study evaluates a consecutive series of 236 MVD surgeries performed for treatment of trigeminal neuralgia (213), hemifacial spasm (17), vagoglossopharyngeal neuralgia (2), paroxysmal vertigo (2), and pulsatile tinnitus (2). All patients were operated by the senior surgeon according to a standard protocol over a period of 12 years. Patients were admitted routinely to NICU during the first phase of the study (phase I), while in the second phase (phase II), only patients with specific indications would go to NICU. While 105 patients (44%) were admitted to NICU postoperatively (phase I), 131 patients (56%) returned to the ward after a short stay in a postanaesthesia care unit (PACU) (phase II). Specific indications for NICU admission in phase I were pneumothorax secondary to central venous catheter insertion (4 patients), AV block during surgery, low blood oxygen levels after extubation, and postoperative dysphagia and dysphonia (1 patient, respectively). There were no significant differences in the distribution of ASA scores or the presence of cardiac and pulmonary comorbidities like congestive heart failure, arterial hypertension, or chronic obstructive pulmonary disease between groups. There were no secondary referrals from PACU to NICU. Our study shows that routine admission of patients after eventless MVD to NICU does not provide additional value. NICU admission can be restricted to patients with specific indications. When MVD surgery is performed in experienced hands according to a standard anaesthesia protocol, clinical observation on a neurosurgical ward is sufficient to monitor the postoperative course. Such a policy results in substantial savings of costs and human resources.

Intensive care unit adaptations in the COVID-19 pandemic: Lessons learned

The coronavirus disease 2019 pandemic had deleterious effects on the healthcare systems around the world. To increase intensive care units (ICUs) bed capacities, multiple adaptations had to be made to increase surge capacity. In this editorial, we demonstrate the changes made by an ICU of a midwest community hospital in the United States. These changes included moving patients that used to be managed in the ICU to progressive care units, such as patients requiring non-invasive ventilation and high flow nasal cannula, ST-elevation myocardial infarction patients, and post-neurosurgery patients. Additionally, newer tactics were applied to the processes of assessing oxygen supply and demand, patient care rounds, and post-ICU monitoring.

The necessity for routine intensive care unit admission following elective craniotomy for epilepsy surgery: a retrospective single-center observational study

OBJECTIVE

Traditionally, patients who underwent elective craniotomy for epilepsy surgery are monitored postoperatively in an intensive care unit (ICU) overnight in order to sufficiently respond to potential early postoperative complications. In the present study, the authors investigated the frequency of early postoperative events that entailed ICU monitoring in patients who had undergone elective craniotomy for epilepsy surgery. In a second step, they aimed at identifying pre- and intraoperative risk factors for the development of unfavorable events to distinguish those patients with the need for postoperative ICU monitoring at the earliest possible stage.

METHODS

The authors performed a retrospective observational cohort study assessing patients with medically intractable epilepsy (n = 266) who had undergone elective craniotomy for epilepsy surgery between 2012 and 2019 at a tertiary care epilepsy center, excluding those patients who had undergone invasive diagnostic approaches and functional hemispherectomy. Postoperative complications were defined as any unfavorable postoperative surgical and/or anesthesiological event that required further ICU therapy within 48 hours following surgery. A multivariate analysis was performed to reveal preoperatively identifiable risk factors for postoperative adverse events requiring an ICU setting.

RESULTS

Thirteen (4.9%) of 266 patients developed early postoperative adverse events that required further postoperative ICU care. The most prevalent event was a return to the operating room because of relevant postoperative intracranial hematoma (5 of 266 patients). Multivariate analysis revealed intraoperative blood loss ≥ 325 ml (OR 6.2, p = 0.012) and diabetes mellitus (OR 9.2, p = 0.029) as risk factors for unfavorable postoperative events requiring ICU therapy.

CONCLUSIONS

The present study revealed routinely collectable risk factors that would allow the identification of patients with an elevated risk of postsurgical complications requiring a postoperative ICU stay following epilepsy surgery. These findings may offer guidance for a stepdown unit admission policy following epilepsy surgical interventions after an external validation of the results.

Postoperative surveillance in cranial and spinal tumor neurosurgery: when is this warranted?

OBJECTIVE

The outbreak of COVID-19 and the sudden increase in the number of patients requiring mechanical ventilation significantly affected the management of neurooncological patients. Hospitals were forced to reallocate already scarce human resources to maximize intensive care unit (ICU) capacities, resulting in a significant postponement of elective procedures for patients with brain and spinal tumors, who traditionally require elective postoperative surveillance on ICU or intermediate care wards. This study aimed to characterize those patients in whom postoperative monitoring is required by analyzing early postoperative complications and associated risk factors.

METHODS

All patients included in the analysis experienced benign or malignant cerebral or intradural tumors and underwent surgery between September 2017 and May 2019 at University Hospital Münster, Germany. Patient data were generated from a semiautomatic, prospectively designed database. The occurrence of adverse events within 24 hours and 30 days postoperatively-including unplanned reoperation, postoperative hemorrhage, CSF leakage, and pulmonary embolism-was chosen as the primary outcome measure. Furthermore, reasons and risk factors that led to a prolonged stay on the ICU were investigated. By performing multivariable logistic regression modeling, a risk score for early postoperative adverse events was calculated by assigning points based on beta coefficients.

RESULTS

Eight hundred eleven patients were included in the study. Eleven patients (1.4%) had an early adverse event within 24 hours, which was either an unplanned reoperation (0.9%, n = 7) or a pulmonary embolism (0.5%, n = 4) within 24 hours. To predict the incidence of early postoperative complications, a score was developed including the number of secondary diagnoses, BMI, and incision closure time, termed the SOS score. According to this score, 0.3% of the patients were at low risk, 2.5% at intermediate risk, and 12% at high risk (p < 0.001).

CONCLUSIONS

Postoperative surveillance in cranial and spinal tumor neurosurgery might only be required in a distinct patient collective. In this study, the authors present a new score allowing efficient prediction of the likelihood of early adverse events in patients undergoing neurooncological procedures, thus helping to stratify the necessity for ICU or intermediate care unit beds. Nevertheless, validation of the score in a multicenter prospective setting is needed.

Reexamining the Role of Postoperative ICU Admission for Patients Undergoing Elective Craniotomy: A Systematic Review

OBJECTIVES

The standard-of-care for postoperative care following elective craniotomy has historically been ICU admission. However, recent literature interrogating complications and interventions during this postoperative ICU stay suggests that all patients may not require this level of care. Thus, hospitals began implementing non-ICU postoperative care pathways for elective craniotomy. This systematic review aims to summarize and evaluate the existing literature regarding outcomes and costs for patients receiving non-ICU care after elective craniotomy.

DATA SOURCES

A systematic review of the PubMed database was performed following PRISMA guidelines from database inception to August 2021.

STUDY SELECTION

Included studies were published in peer-reviewed journals, in English, and described outcomes for patients undergoing elective craniotomies without postoperative ICU care.

DATA EXTRACTION

Data regarding study design, patient characteristics, and postoperative care pathways were extracted independently by two authors. Quality and risk of bias were evaluated using the Oxford Centre for Evidence-Based Medicine Levels of Evidence tool and Risk Of Bias In Non-Randomized Studies-of Interventions tool, respectively.

DATA SYNTHESIS

In total, 1,131 unique articles were identified through the database search, with 27 meeting inclusion criteria. Included articles were published from 2001 to 2021 and included non-ICU inpatient care and same-day discharge pathways. Overall, the studies demonstrated that postoperative non-ICU care for elective craniotomies led to length of stay reduction ranging from 6 hours to 4 days and notable cost reductions. Across 13 studies, 53 of the 2,469 patients (2.1%) intended for postoperative management in a non-ICU setting required subsequent care escalation.

CONCLUSIONS

Overall, these studies suggest that non-ICU care pathways for appropriately selected postcraniotomy patients may represent a meaningful opportunity to improve care value. However, included studies varied greatly in patient selection, postoperative care protocol, and outcomes reporting. Standardization and multi-institutional collaboration are needed to draw definitive conclusions regarding non-ICU postoperative care for elective craniotomy.

Optimizing post anesthesia care unit admission after elective craniotomy for brain tumors: a cohort study

BACKGROUND

Postoperative admission to intensive care unit (ICU) after craniotomy for brain tumor was the routine in the past years. However, there is little evidence supporting this dogma and doubts have been casted by many authors in the last years. Our aim was to identify risk factors for ICU admission after elective brain tumor surgery in order to propose an individualized admission to ICU tailored on patient needs.

METHODS

We conducted a retrospective cohort study including all patients undergoing elective surgery for brain tumor in a neurosurgical post anesthesia care unit of a university hospital over a period of 6 years. In order to identify and validate risk factors for ICU admission, we split the final cohort of patients in a training cohort (two/third of the cohort) and the validation cohort (one/third of the cohort) using a random sequence. Using univariate and multivariate logistic regression, we created a scoring system in the training cohort and tested it with the validation cohort. Moreover, we perform a sensitivity analysis on the overall population.

RESULTS

A total of 420 patients were eligible for this study. ASA-PS, tumor volume, and surgery length entered the scoring system. Sensitivity analysis on the overall population for the scoring system had an AUC of 0.774 (95% CI 0.668-0.880, the best threshold at 12.5) CONCLUSIONS: We created a tool based on ASA-PS, length of surgery, and tumor volume to evaluate the risk for ICU admission after supratentorial tumor resection. Prospective studies are deemed necessary to validate our tool.

Ketamine for critically ill patients with severe acute brain injury: Protocol for a systematic review with meta-analysis and Trial Sequential Analysis of randomised clinical trials

INTRODUCTION

Intensive care for patients with severe acute brain injury aims both to treat the immediate consequences of the injury and to prevent and treat secondary brain injury to ensure a good functional outcome. Sedation may be used to facilitate mechanical ventilation, for treating agitation, and for controlling intracranial pressure. Ketamine is an N-methyl-D-aspartate receptor antagonist with sedative, analgesic, and potentially neuroprotective properties. We describe a protocol for a systematic review of randomised clinical trials assessing the beneficial and harmful effects of ketamine for patients with severe acute brain injury.

METHODS AND ANALYSIS

We will systematically search international databases for randomised clinical trials, including CENTRAL, MEDLINE, Embase, and trial registries. Two authors will independently review and select trials for inclusion, and extract data. We will compare ketamine by any regimen versus placebo, no intervention, or other sedatives or analgesics for patients with severe acute brain injury. The primary outcomes will be functional outcome at maximal follow up, quality of life, and serious adverse events. We will also assess secondary and exploratory outcomes. The extracted data will be analysed using Review Manager and Trials Sequential Analysis. Evidence certainty will be graded using GRADE.

ETHICS AND DISSEMINATION

The results of the systematic review will be disseminated through peer-reviewed publication. With the review, we hope to inform future randomised clinical trials and improve clinical practice.

PROSPERO NO

CRD42021210447.

Streamlining brain tumor surgery care during the COVID-19 pandemic: A case-control study

BACKGROUND

The COVID-19 pandemic forced a reconsideration of surgical patient management in the setting of scarce resources and risk of viral transmission. Herein we assess the impact of implementing a protocol of more rigorous patient education, recovery room assessment for non-ICU admission, earlier mobilization and post-discharge communication for patients undergoing brain tumor surgery.

METHODS

A case-control retrospective review was undertaken at a community hospital with a dedicated neurosurgery and otolaryngology team using minimally invasive surgical techniques, total intravenous anesthesia (TIVA) and early post-operative imaging protocols. All patients undergoing craniotomy or endoscopic endonasal removal of a brain, skull base or pituitary tumor were included during two non-overlapping periods: March 2019-January 2020 (pre-pandemic epoch) versus March 2020-January 2021 (pandemic epoch with streamlined care protocol implemented). Data collection included demographics, preoperative American Society of Anesthesiologists (ASA) status, tumor pathology, and tumor resection and remission rates. Primary outcomes were ICU utilization and hospital length of stay (LOS). Secondary outcomes were complications, readmissions and reoperations.

FINDINGS

Of 295 patients, 163 patients were treated pre-pandemic (58% women, mean age 53.2±16 years) and 132 were treated during the pandemic (52% women, mean age 52.3±17 years). From pre-pandemic to pandemic, ICU utilization decreased from 92(54%) to 43(29%) of operations (p<0.001) and hospital LOS≤1 day increased from 21(12.2%) to 60(41.4%), p<0.001, respectively. For craniotomy cohort, median LOS was 2 days for both epochs; median ICU LOS decreased from 1 to 0 days (p<0.001), ICU use decreased from 73(80%) to 29(33%),(p<0.001). For endonasal cohort, median LOS decreased from 2 to 1 days; median ICU LOS was 0 days for both epochs; (p<0.001). There were no differences pre-pandemic versus pandemic in ASA scores, resection/remission rates, readmissions or reoperations.

CONCLUSION

This experience suggests the COVID-19 pandemic provided an opportunity for implementing a brain tumor care protocol to facilitate safely decreasing ICU utilization and accelerating discharge home without an increase in complications, readmission or reoperations. More rigorous patient education, recovery room assessment for non-ICU admission, earlier mobilization and post-discharge communication, layered upon a foundation of minimally invasive surgery, TIVA anesthesia and early post-operative imaging are possible contributors to these favorable trends.

Risk Factors Associated with ICU-Specific Care in Patients Undergoing Endovascular Treatment of Unruptured Intracranial Aneurysms

BACKGROUND

Multiple studies suggest routine postoperative intensive care unit (ICUs) stays in presumed high-risk neurosurgical procedures may be unnecessary. Our objective was to evaluate the risk factors associated with ICU-specific needs in patients undergoing elective endovascular treatment of unruptured intracranial aneurysms.

METHODS

A retrospective review of consecutive patients undergoing elective endovascular treatment of unruptured aneurysms was performed between January 2010 and January 2020 in a single academic medical center. Patient demographic information, aneurysm and treatment characteristics, intraoperative and postoperative complications, as well as ICU-specific needs, were abstracted. The primary outcome was ICU-specific needs.

RESULTS

A total of 382 patient encounters in 344 unique patients were abstracted. 13.6% (52 of 382) of patient encounters had an ICU-specific need. Multivariate analysis revealed that age [adjusted odds ratio (OR) 1.04, 95% confidence interval (CI) 1.01-1.07, p = 0.03], procedure duration greater 200 min (adjusted OR 2.75, 95% CI 1.34-5.88, p = 0.007), and any intraoperative complication (adjusted OR 20.41, CI 7.97-56.57, p < 0.001) were independent predictors of postoperative ICU-specific needs. The majority of ICU-specific needs (94%, 49 of 52) occurred within 6 h of surgery.

CONCLUSIONS

Our results show that age, procedure duration greater than or equal to 200 min, and intraoperative complication were independent predictors of postoperative ICU-specific needs in patients presenting for elective endovascular treatment of unruptured intracranial aneurysms. The majority of ICU-specific needs and associated complications occurred in the immediate postoperative period. This data can be used to help decide the appropriate postoperative level of care in this patient population.

Reducing the burden of brain tumor surgery

Background

Even though the need has been challenged, admitting patients to an intensive care or medium care unit (ICU/MCU) after adult supratentorial tumor craniotomy remains common practice. We have introduced a “no ICU, unless” policy for tumor craniotomy patients and evaluate costs, complications, and length of stay.

Methods

A prospective cohort study was performed comparing patients that underwent tumor craniotomy for supratentorial tumors during 2 years after introduction of the new policy with the year before.

Results

A reduction in ICU/MCU admittance from 88 to 23% of patients was found resulting in 13% cost reduction. Also, the new policy resulted in a 1.4-day shorter post-operative length of stay. Minor complications were reduced, while major complications remained the same. All major complications are reviewed.

Conclusions

We show that routine post-operative ICU/MCU admittance after tumor craniotomy does not reduce complications, but actually interferes with recovery of our patients. Changing the paradigm results in earlier discharge and cost reduction.

Electronic supplementary material

The online version of this article (10.1007/s00701-020-04543-y) contains supplementary material, which is available to authorized users.

A Novel Protocol for Reducing Intensive Care Utilization After Craniotomy

BACKGROUND

There is a growing body of evidence suggesting not all craniotomy patients require postoperative intensive care.

OBJECTIVE

To devise and implement a standardized protocol for craniotomy patients eligible to transition directly from the operating room to the ward-the Non-Intensive CarE (NICE) protocol.

METHODS

We preoperatively identified patients undergoing elective craniotomy for simple neurosurgical procedures with age <65 yr and American Society of Anesthesiologists (ASA) class of 1, 2 or 3. Postoperative eligibility was confirmed by the surgical and anesthesia teams. Upon arrival to the ward, patients were staffed with a neuroscience nurse for hourly neurological examinations for the first 8 h. Patient demographics, clinical characteristics, and outcomes were prospectively collected to evaluate the NICE protocol.

RESULTS

From February 2018 to 2019, 63 patients were included in the NICE protocol with a median age of 46 yr and 65% female predominance. Of the operations performed, 38.1% were microvascular decompressions, 31.7% were craniotomy for tumor, 15.9% were cavernous malformation resections, and 14.3% were Chiari decompressions. No patients required transfer to the intensive care unit (ICU). Median length of stay was 2 d. There was an 11.1% overall readmission rate within the median follow-up period of 48 d. Three patients (4.8%) required reoperation at time of readmission within the follow-up period (1 postoperative subdural hematoma, 2 cerebrospinal fluid leak repair). None of these complications could have been identified with a postoperative ICU stay.

CONCLUSION

In our pilot trial of the NICE protocol, no patients required postoperative transfer to the ICU.

The Impact of Prolonged Mechanical Ventilation on Overall Survival in Patients With Surgically Treated Brain Metastases

Objective

Surgical resection represents a common treatment modality in patients with brain metastasis (BM). Postoperative prolonged mechanical ventilation (PMV) might have an enormous impact on the overall survival (OS) of these patients suffering from advanced cancer disease. We therefore have analyzed our institutional database with regard to a potential impact of PMV on OS of patients who had undergone surgery for brain metastases.

Methods

360 patients with surgically treated brain metastases were included. The definition of PMV consisted of postoperative mechanical ventilation lasting for more than 48 hours. Analysis of survival incorporating established prognostic factors such as age, location of BM, and preoperative physical status was performed.

Results

14 of 360 patients with BM (4%) suffered from postoperative PMV after surgical treatment of BM. Patients with PMV presented in a significantly more impaired neurological condition preoperatively than patients without (p<0.0001). Multivariate analysis determined PMV to be a significant prognostic factor for OS after surgical treatment in patients with BM, independent of other predictive factors (p<0.0001).

Conclusions

The present study demonstrates postoperative PMV as significantly related to poor OS in patients with surgically treated BM. Postoperative PMV is a so far underestimated prognostic predictor, but might be utilized for optimized patient management early in the postoperative phase. For this purpose, the results of the present study should encourage the initiation of further scientific efforts.

Predicting Postoperative Outcomes in Brain Tumor Patients With a 5-Factor Modified Frailty Index

BACKGROUND

Frailty indices may represent useful decision support tools to optimize modifiable drivers of quality and cost in neurosurgical care. However, classic indices are cumbersome to calculate and frequently require unavailable data. Recently, a more lean 5-factor modified frailty index (mFI-5) was introduced, but it has not yet been rigorously applied to brain tumor patients.

OBJECTIVE

To investigate the predictive value of the mFI-5 on length of stay (LOS), complications, and charges in surgical brain tumor patients.

METHODS

We retrospectively reviewed data for brain tumor patients who underwent primary surgery from 2017 to 2018. Bivariate (ANOVA) and multivariate (logistic and linear regression) analyses assessed the predictive power of the mFI-5 on postoperative outcomes.

RESULTS

Our cohort included 1692 patients with a mean age of 55.5 yr and mFI-5 of 0.80. Mean intensive care unit (ICU) and total LOS were 1.69 and 5.24 d, respectively. Mean pulmonary embolism (PE)/deep vein thrombosis (DVT), physiological/metabolic derangement, respiratory failure, and sepsis rates were 7.2%, 1.1%, 1.6%, and 1.7%, respectively. Mean total charges were $42 331. On multivariate analysis, each additional point on the mFI-5 was associated with a 0.32- and 1.38-d increase in ICU and total LOS, respectively; increased odds of PE/DVT (odds ratio (OR): 1.50), physiological/metabolic derangement (OR: 3.66), respiratory failure (OR: 1.55), and sepsis (OR: 2.12); and an increase in total charges of $5846.

CONCLUSION

The mFI-5 is a pragmatic and actionable tool which predicts LOS, complications, and charges in brain tumor patients. It may guide future efforts to risk-stratify patients with subsequent impact on postoperative outcomes.

Elevated blood pressure after craniotomy: A prospective observational study

PURPOSE

Close hemodynamic monitoring after craniotomy is routine given risk for post-operative hypertension, systemic and neurological complications. Patient and peri-operative variables associated with increased risk of post-craniotomy hypertension and complications are not well understood. Our analysis aims to estimate the incidence and prevalence of post-craniotomy hypertension, its time course, contributing factors, and post-craniotomy complications.

MATERIAL AND METHODS

This is a prospective study of patients admitted to the Neurosurgical Intensive Care Unit after an elective craniotomy. Variables associated with pre-surgical risk, demographics, and post-operative care were analyzed.

RESULTS

A total of 282 patients were included in the final analysis, 44% had pre-existing hypertension. Post-craniotomy hypertension was seen in 21%, with a higher incidence in patients with pre-existing hypertension (p < .001), smaller craniotomies (p = .0035), and increased use of analgesic medications (p < .001). History of hypertension was the only independent risk factor for post-craniotomy hypertension in a multivariate regression model. Patients who developed post-craniotomy hypertension, showed a significant increase in length of stay, number and duration of antihypertensive treatment. However, post-craniotomy hypertension was not associated with a higher incidence of other post-operative complications.

CONCLUSIONS

Development of hypertension after craniotomy is multi-factorial. In this prospective study, a prior history of hypertension was the only associated independent risk factor.

Selective Intensive Care Unit Admission After Adult Supratentorial Tumor Craniotomy: Complications, Length of Stay, and Costs

BACKGROUND

Admitting patients to an intensive care or medium care unit (ICU/MCU) after adult supratentorial tumor craniotomy remains common practice even though some studies have suggested lower level care is sufficient for selected patients. We have introduced a “no ICU, unless” policy for tumor craniotomy patients.

OBJECTIVE

To provide a quieter postoperative environment for patients, reduce the burden on the ICU department, and to evaluate whether costs can be reduced.

METHODS

A cohort study was performed comparing patients that underwent tumor craniotomy for supratentorial tumors during 1 yr after introduction (n = 109) of the new policy with the year before (n = 107). Rate of complications was evaluated, as was the length of stay and patient satisfaction using qualitative evaluation. Finally, costs were evaluated comparing the situation before and after implementation of the new protocol.

RESULTS

A reduction in ICU/MCU admittance from 64% to 24% of patients was found resulting in 13.3% cost reduction (€1950 per case), without increasing the length of stay at the ward. The length of stay in the hospital was similar. Complications were significantly reduced after implementing the new policy (0.98 vs 0.53 per patient, P = .003). Patients that were interviewed after the new policy reported feeling safe and at ease at the ward.

CONCLUSION

Changing our policy from “ICU, unless” to “no ICU, unless” reduced complication rates and length of stay in the hospital while keeping patients satisfied. Hospital costs related to the admission have been significantly reduced by the new policy.

Postoperative circuits in patients undergoing elective craniotomy. A narrative review

In 2017, the Neurosciences section of the Spanish Society of Anaesthesiology, Critical Care and Pain Therapy published a national survey on postoperative care and treatment circuits in neurosurgery. The survey showed that practices vary widely, depending on the centre, the anaesthesiologist and the pathology of the patient. There is currently no standard postoperative circuit for cranial neurosurgical procedures in Spanish hospitals, and there is sufficient evidence to show that not all patients undergoing elective craniotomy should be routinely admitted to a postsurgical critical care unit. The aim of this study is to perform a narrative review of postoperative circuits in elective craniotomy in order to standardise clinical practice in the light of published studies. For this purpose, we searched MEDLINE (PubMed) to retrieve studies published in the last ten years, up to November 2019, using the keywords neurosurgery and postoperative care, craniotomyand postoperative care.

Machine Learning Algorithm Identifies Patients at High Risk for Early Complications After Intracranial Tumor Surgery: Registry-Based Cohort Study

INTRODUCTION

Reliable preoperative identification of patients at high risk for early postoperative complications occurring within 24 h (EPC) of intracranial tumor surgery can improve patient safety and postoperative management. Statistical analysis using machine learning algorithms may generate models that predict EPC better than conventional statistical methods.

OBJECTIVE

To train such a model and to assess its predictive ability.

METHODS

This cohort study included patients from an ongoing prospective patient registry at a single tertiary care center with an intracranial tumor that underwent elective neurosurgery between June 2015 and May 2017. EPC were categorized based on the Clavien-Dindo classification score. Conventional statistical methods and different machine learning algorithms were used to predict EPC using preoperatively available patient, clinical, and surgery-related variables. The performance of each model was derived from examining classification performance metrics on an out-of-sample test dataset.

RESULTS

EPC occurred in 174 (26%) of 668 patients included in the analysis. Gradient boosting machine learning algorithms provided the model best predicting the probability of an EPC. The model scored an accuracy of 0.70 (confidence interval [CI] 0.59-0.79) with an area under the curve (AUC) of 0.73 and a sensitivity and specificity of 0.80 (CI 0.58-0.91) and 0.67 (CI 0.53-0.77) on the test set. The conventional statistical model showed inferior predictive power (test set: accuracy: 0.59 (CI 0.47-0.71); AUC: 0.64; sensitivity: 0.76 (CI 0.64-0.85); specificity: 0.53 (CI 0.41-0.64)).

CONCLUSION

Using gradient boosting machine learning algorithms, it was possible to create a prediction model superior to conventional statistical methods. While conventional statistical methods favor patients' characteristics, we found the pathology and surgery-related (histology, anatomical localization, surgical access) variables to be better predictors of EPC.

Clinical Factors Associated With ICU-Specific Care Following Supratentoral Brain Tumor Resection and Validation of a Risk Prediction Score

OBJECTIVES

The postoperative management of patients who undergo brain tumor resection frequently occurs in an ICU. However, the routine admission of all patients to an ICU following surgery is controversial. This study seeks to identify the frequency with which patients undergoing elective supratentorial tumor resection require care, aside from frequent neurologic checks, that is specific to an ICU and to determine the frequency of new complications during ICU admission. Additionally, clinical predictors of ICU-specific care are identified, and a scoring system to discriminate patients most likely to require ICU-specific treatment is validated.

DESIGN

Retrospective observational cohort study.

SETTING

Academic neurosurgical center.

PATIENTS

Two-hundred consecutive adult patients who underwent supratentorial brain tumor surgery. An additional 100 consecutive patients were used to validate the prediction score.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Univariate statistics and multivariable logistic regression were used to identify clinical characteristics associated with ICU-specific treatment. Eighteen patients (9%) received ICU-specific care, and 19 (9.5%) experienced new complications or underwent emergent imaging while in the ICU. Factors significantly associated with ICU-specific care included nonelective admission, preoperative Glasgow Coma Scale, and volume of IV fluids. A simple clinical scoring system that included Karnofsky Performance Status less than 70 (1 point), general endotracheal anesthesia (1 point), and any early postoperative complications (2 points) demonstrated excellent ability to discriminate patients who required ICU-specific care in both the derivation and validation cohorts.

CONCLUSIONS

Less than 10% of patients required ICU-specific care following supratentorial tumor resection. A simple clinical scoring system may aid clinicians in stratifying the risk of requiring ICU care and could inform triage decisions when ICU bed availability is limited.

Neuroanesthesiology Update

This review provides a summary of the literature pertaining to the perioperative care of neurosurgical patients and patients with neurological diseases. General topics addressed in this review include general neurosurgical considerations, stroke, traumatic brain injury, neuromonitoring, neurotoxicity, and perioperative disorders of cognitive function.