Skip to main content
Annals of Ibadan Postgraduate Medicine logoLink to Annals of Ibadan Postgraduate Medicine
. 2023 Nov 1;21(2):44–52.

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

OO Agboola 1, OO Idowu 2, JA Balogun 1,3
PMCID: PMC10811708  PMID: 38298343

Abstract

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.

Keywords: Brain tumour, Covid-19 craniotomy, Intensive care unit, Nigeria.

INTRODUCTION

The post-operative care of patients, following elective surgery for brain tumors, has traditionally been in the Intensive Care Unit (ICU).1 This is usually to allow for close observation and swift identification of immediate post-op complications or planned elective ventilation.2 A period of 24 48 hours or more, depending on the amount of peritumoral edema preoperative, was recommended for the observation of these patients.3 This philosophy is now being challenged as the need to cut the cost of care is becoming more inevitable.4 The situation in Low- or Middle-Income Countries (LMICS), which includes our practice setting, is even more precarious because of limited ICU beds,5 which, when available, are expensive, with the cost of care in the ICU multiple folds of the general ward costs. Any need for ventilatory support further multiplies this cost of care.6

The cost of neurosurgical care generally has been described as the most expensive for a medical specialty,7 thus imposing a varying significant burden on individuals, families, and the nation s economy, especially in countries that practice some form of socialized health care system. In developing economies such as Nigeria, with less than 5% of the population enrolled in the National Health Insurance Authority (NHIA),8 out of pocket payment by patients for healthcare is the predominant form of healthcare financing, which raises a significant challenge to both the access of neurosurgical care and the promptness of such access. The government-funded health insurance scheme in Nigeria, the NHIA, does not cover most of the neurosurgical cost of care, with patients having to provide counterpart funding to offset some of the costs, which include Intensive Care Unit (ICU) fees, and only a small proportion of Nigerians have access to private health insurance schemes.9,10

The evolution of the Covid-19 virus pandemic had a major negative impact on the availability of ICU beds worldwide11-14. There was an increased demand for ventilators with up to 9 11% of Covid-19 patients requiring ventilatory support15-17. This, without doubt, further stifled the availability of the ICU facilities for the care of patients with other pathologies. Consequently, those patients deemed to require the use of the ICU following elective procedures such as for brain tumor surgery could not get spaces; sometimes resulting in the cancellation of scheduled cases.1 Thus, this is stimulating a re-think in the way these patients are managed in the light of these occurrences.18,19

We, therefore, set out to study the indications for ICU admission post elective surgery for brain tumors and identify the factors that determine prolonged ICU stay and the effect of ICU care on outcome.

MATERIALS AND METHODS

Ethical Considerations

Ethical approval was obtained from the University of Ibadan/University College Hospital ethics review committee with the reference number UI/EC/19/0374.

Study Setting

The study was carried out at the University College Hospital (UCH), Ibadan; a 900-bedded tertiary health care centre, in southwestern Nigeria. It is a major referral centre for brain tumor care in Nigeria, particularly in the southern part of the country. The hospital is equipped with a 12-bedded general intensive care unit, with ventilators. There is no dedicated neurosurgery ICU or neurosurgery bed.

The patients with brain tumors are usually first seen in the Neurosurgical outpatient clinic, where they are evaluated, subsequently optimized for surgery and then admitted to the ward, usually a few days to their proposed surgery. The study included all patients who had elective brain tumor surgery over a 12-month period starting from February 2020, which included periods of service disruption due to the Covid-19 lockdown, operative room slowing, and industrial action by resident doctors.

Data Collection Procedure

Data was collected using a proforma pre-designed for the study. The details obtained included the patients socio-demographic data, the clinical diagnosis, tumor location, the surgical approach, type of anesthesia, surgery and anesthesia duration, intra-operative blood loss and blood transfusion up till 24 hours post-op, details of ICU admission, histologic diagnosis, and re-admission into the ICU. Peri-operative anesthetic managements were documented, including analgesia, which were essentially opioid-based. Induction and maintenance of anesthesia were mostly done with propofol and dexmedetomidine while local anesthetics and dexmedetomidine were used for local infiltration for awake craniotomy. All the vital signs and other intra-operative findings were documented and this trend continued with those admitted to the ICU until they were discharged.

Data Management and Analysis

Data was analyzed using Statistical Package for Social Sciences version 23. Data was cleaned and descriptive statistics were used to present the frequencies, including the sociodemographic and surgery variables. Chi-square test was used to test the association between the patients' sociodemographic, surgery and tumor characteristics and admission into ICU. Prolonged ICU admission was defined as ICU admission that is more than 48 hours.20-22 Chi-square test was also used to determine the association between sociodemographic, surgery and tumor characteristics, as well as the type of ICU and prolonged ICU admission. All the statistically significant associations were then entered into logistic regression to further test the associations. Student t-test was used to analyze the mean difference between those who were admitted into ICU and those who were not; it was also used to analyze the mean difference of patients who had prolonged and non-prolonged ICU admission with regard to their mean blood loss, total time on anesthesia, and duration of surgery. The level of significance was p<0.05 for all analysis.

RESULTS

We recruited a total of 56 patients with 60.7% of the patients within the 25-64 years age bracket. The M:F ratio is approximately 1:1. The age range was between 1 year and 88 years, while the median age of the patients was 56 years.

Thirty-four (60.7%) of the patients were admitted into the ICU post-surgery, of which 61.8% were admitted mainly for observation. The indications for the ICU admissions are as shown in Table 2. The type of surgery and the location of the tumor were factors that were significantly associated with admission into the ICU; however, the association between tumor location and ICU admission was no longer significant after logistic regression (Table 3). The patients (21.3%) who had endoscopic procedures mainly for transphenoidal resection of pituitary adenomas were less likely to be admitted to the ICU compared with the 76.8% patients that had craniotomy. Patients who had open surgeries were 2 times more likely to be admitted into ICU (p<0.01; OR = 2.2, CI: 2.0 36.8) compared with those who had endoscopic surgeries. Almost all the patients with skull base and posterior fossa tumors were admitted into the ICU. The histology of the tumors did not determine admissions into the ICU, as an almost equal proportion of the patients with either benign or malignant tumors were admitted into the ICU following surgery: 58.8% of those with benign tumors and 60% of those with malignant tumors. Most of the patients recruited had pituitary adenoma (33.3%), followed by glioma (29.6%) and meningioma (22.2%). The predominant histologic diagnosis in children was pilocytic astrocytoma, making up 62.5 percent of the diagnosis within their age bracket. 87.5% of children were admitted to the ICU, compared with 55% of adults admitted into the ICU; however, this finding is not statistically significant (p=0.17).

Table 2:

Indication for ICU admission post elective brain surgery

Indication Frequency (n) Percentage (%)

Prolonged surgery 6 17.6
Elective ventilation 7 20.6
Observation 21 61.8

Table 3:

Factors associated with admission into ICU

Admission into ICU p value

Yes n (%) No n (%)
Age group (years)
0 - 24 9 (16.1) 2 (3.6) 0.10
25 - 64 17 (30.4) 17 (30.4)
≥65 8 (14.3) 3 (5.4)
Sex
Male 16 (28.6) 11 (19.6) 0.83
Female 18 (32.1) 11 (19.6)
Type of surgery
Endoscopic 3 (5.4) 10 (17.9) <0.01
Open 31 (55.4) 12 (21.4)
Type of anesthesia
GA + ETT 34 (60.7) 20 (35.7) 0.05
Awake craniotomy 0 (0) 2 (3.6)
Type of resection
Gross total resection 13 (23.2) 10 (17.9) 0.64
Near total 10 (17.9) 4 (7.1)
Subtotal 11 (19.6) 8 (14.3)
Tracheostomy
Yes 3 (8.3) 0 (0) 0.46
No 30 (83.3) 3 (8.3)
Tumour type
Benign 20 (37.0) 14 (25.9) 0.93
Malignant 12 (22.2) 8 (14.8)
Tumour location
Supratentorial 11 (20.0) 7 (12.7) <0.01
Sellar suprasellar 7 (12.7) 14 (25.5)
Skull base 8 (14.5) 0 (0)
Posterior fossa 7 (12.7) 1 (1.8)

The indications for ICU admission post elective brain surgery were prolonged surgery 6(17.6%), elective ventilation (20.6%) and observation (61.8%). Of the 34 patients admitted into the ICU, 11 (19.6%) had prolonged ICU stay (ICU admission more than 48 hours). Factors associated with admission into ICU and prolonged ICU admission are as shown in Tables 3 and 4. Overall, 41 (73.2%) patients were discharged and 15 (26.8%) died. There was no significant association between admission into ICU and patients outcome (p=0.07). However, prolonged ICU admission was associated with patients outcome (p<0.01) as 8(66.7%) patients with prolonged ICU admission died compared with 4(33.3%) patients among those without prolonged ICU admission. Also, patients with prolonged ICU admission were 2 times likely to die compared with those with short admissions (p<0.01; OR = 2.5, CI: 2.29 70.02). The male sex was 2 times more likely to have prolonged ICU admission compared to the female sexes (p=0.02; OR = 2.0, CI: 1.32 42.77).

Table 4:

Factors associated with prolonged ICU stay for patients post elective brain surgery

Prolonged ICU stay
Yes (n)% No (n)% p value

Age group (years)
0 – 24 4 (11.8) 5 (14.7) 0.31
25-64 6 (17.6) 11 (32.4)
≥65 1 (2.9) 7 (20.6)
Gender
Male 2 (5.9) 14 (41.2) 0.02
Female 9 (26.5) 9 (26.5)
Type of surgery
Endoscopic surgery 1 (2.9) 2 (5.9) 0.97
Open surgery 10 (29.4) 21 (61.8)
Tumour location
Supratentorial 3 (8.8) 8 (23.5) 0.50
Sellar suprasellar 2 (5.9) 6 (17.6)
Skull base 2 (5.9) 6 (17.6)
Posterior fossa 4 (11.8) 3 (8.8)
Type of tumour resection
Gross total resection 3 (8.8) 10 (29.4) 0.55
Near total resection 3 (8.8) 7 (20.6)
Required tracheostomy
Yes 3 (9.1) 0 (0) <0.01
No 7 (21.2) 23 (69.7)
Type of tumour
Benign 6 (18.8) 14 (43.8) 0.76
Malignant 3 (9.4) 9 (28.1)

The mean estimated blood loss, total time on anesthesia and duration of surgery were higher for those admitted into the ICU compared with those who were not. Also, those who had prolonged stay in ICU had higher mean blood loss, total time on anesthesia and duration of surgery. For the comparison of these selected surgery characteristics, the Levene s test for equality of variances was significant for all comparisons, so, the output for equal variances assumed was used. Table 5 showed that there was a statistically significant difference in the mean of the duration of anesthesia and surgery for those admitted into ICU and those that were not. Table 6 also showed that the difference in these selected surgery characteristics were not statistically significant among those with and without prolonged ICU admission.

Table 5:

Comparison of means of selected surgery characteristics among the patients admitted into ICU and others

Surgery characteristics t p value Mean difference 95% CI

Estimated blood loss (ml) 1.86 0.07 619.7 -47.4 – 1286.8
Total anaesthesia time (min) 5.35 <0.01 168.7 105.5 – 231.9
Duration of surgery (min) 4.93 <0.01 144.97 85.96 – 203.98

Table 6:

Comparison of means of selected surgery characteristics among patients with prolonged ICU admission and non-prolonged admission

Surgery characteristics t p value Mean difference 95% CI

Estimated blood loss (ml) 0.10 0.92 59.78 1114.9 – 1234.4
Total anaesthesia time (min) 1.79 0.08 81.96 -11.3 – 175.2
Duration of surgery (min) 1.09 0.28 48.43 41.7 – 138.6

DISCUSSION

Our study found a significant number of the patients (60%) admitted into the ICU following brain tumour surgery, with the reason mainly due to the decision by the surgeon or the anaesthetist to observe the patients in the ICU. This follows the traditional thought of neurosurgeons, which tend to err on the side of caution, in order to quickly recognize life-threatening complications. Evidence in the past few years, however, negated this position, as only a small percentage of brain tumour patients require ICU admission following surgery. This position in our environment, as may well be in other LMICs, may also be due to the non-availability of step-down neurological units or the lack of facilities and trained personnel on the wards.

Whilst gender did not determine admission into the ICU, similar to the finding of 58.6% females by Bui et al23, patients who had open procedures were twice more likely to be admitted into the ICU compared to those who had endoscopic procedures, and this is in tandem with other reports. Though endoscopic procedures for pathologies such as pituitary adenoma have become gold standards of treatment in most hospitals in the High-Income Countries (HICs), the challenge of cost of acquisition, maintenance challenges and paucity of expertise has limited the adaptation of these procedures in climes such as ours. Though there were just two patients that had Awake craniotomy, none was admitted into the ICU. Previous reports have demonstrated the safety, practicability, and effectiveness of awake craniotomy for a variety of intracranial tumours including in LMICs, in carefully selected patients with a significant reduction in the probability of ICU admission, shorter hospital stay, and ultimately reducing the cost of care24-27. In fact, the San Francisco group, submitted from a 27-year experience with awake craniotomy, that irrespective of the ASA classification and other seemingly unfavorable pre-operative parameters, awake craniotomy can be done safely with very low complications28. The concept of outpatient craniotomy popularized by Bernstein29, has also had its feasibility tested in our environment despite the presupposed challenges, and this further reduces the total cost of care of these patients30. The acquisition of skills for these procedures and their adaptation may be reasonable ways to reduce the tendency for ICU admission for brain tumour patients in our practice and those of others in LMICs.

Though our study showed that there is a tendency to admit skull base and posterior fossa tumours into the ICU, the lack of statistical significance may be due to the small numbers in the study. Sioshansi et al. 2021 recognized a large volume tumour (>4500mm3) as an independent factor necessitating ICU admission in addition to their location in the lateral skull base31. Previous studies suggested that 79.71% of patients who had posterior fossa tumour surgery required ICU admission. It has also been established that patients who had surgery for posterior fossa tumours were more likely to be readmitted to the ICU after the initial discharge compared with other tumour locations. Therefore, patients with posterior fossa tumour should be monitored for a longer period in the ICU following surgery32, 33.

We also found that the mean estimated blood loss, total time on anesthesia, and duration of surgery were higher for those admitted into ICU compared with those who were not. A number of these factors agree with previous findings (Zial and Mahajan), with the Mahajan et al. group identifying the following as indications for post-operative ventilatory support and ICU admission: preoperative lower cranial nerve palsy, hemodynamic instability, brainstem handling, massive blood loss; intraoperative acute brain bulge, residual tumour, prolonged surgery (more than 8 hours), not obeying commands (delayed recovery), and neurosurgeon s advice. However, their most common indications for postoperative mechanical ventilation were not responding to commands , and neurosurgeon advice. A longer length of surgery corroborating with an increasing tendency for ICU admission has also been further validated in other studies35-37 with Rhondali et al. using a cut-off of 4-hours as in our study in their review of 306 patients. In all the cases recruited for this study, propofol (as an induction and maintenance agent), and isoflurane and fentanyl (as the analgesic agents) were used because of their recovery profiles. This is despite the fact that some studies showed a slightly early extubation time38, 39 and the achievement of Aldrete score >9 faster and no statistical or clinical significance between balanced inhalational versus total intravenous anesthesia40, 41. The effect of opioid in the study (Fentanyl and morphine) on post-operative recovery has been studied extensively42, 43 and has been shown to be effective.

Prolonged ICU stay greater than 48-hours was associated with a poor outcome as they were two times more likely to die compared with those with a short stay in the ICU. This is in agreement with Pirrachio et al. who reported that ICU admission was associated with increased mortality.

We found that the male sex were more likely to have prolonged ICU stay as well as the patients that had a higher mean blood loss, total time on anesthesia, and duration of surgery. We do not know the reason for the gender disparity in the tendency for prolonged ICU admission, as there is no difference in the proportion of both genders admitted in the ICU or any peculiarity in the tumour pathologies. While Zial et al. found out that benign tumours were more likely to stay beyond 4 hours in the ICU, the extent of resection was not significantly different between the different groups in their study. We did not find such a difference in our study. Mahajan et al. found the mean ICU stay among their cohort of patients to be 92.2 134.0 hours but interestingly noted that 47.6% of patients who had postoperative mechanical ventilation based on the neurosurgeon s advice developed complications while only 33.2% for those ventilated for other reasons (P < 0.05) had complications34.

There has been remarkable progress in improving the safety and outcome of brain tumour surgery. These include advances in anatomical, physiological, and functional imaging, micro-neurosurgery, intra-operative imaging such as neuronavigational, intra-operative MRI and now navigated ultrasound and even neuropathology44, 45; without prejudice to improved asepsis, anaesthesia, and antibiotics46. While these are routine in most operating rooms (ORs) in HICs, a lot of countries such as ours lack these equipment and/or support, thereby having to improvise or forge on without them. Indeed anatomy and surface markings may be very useful in localization of brain tumours; it is unarguably true that a neuronavigational machine not only helps to localize the tumour and the surrounding structures, it can be used to plan trajectories, identify surrounding structures including fibre tracts and determine the size of the craniotomy flap thus effectively limiting the anesthesia/operative times which have been identified as one of the key factors determining admission into the ICU.

In the immediate post-operative period following brain tumour surgery, life-threatening complications like intracranial bleeding, intracranial hypertension, and status epilepticus, have been found to increase the risk of mortality to more than two folds47. This has traditionally been considered the reason for the postoperative care of the patients in the ICU, a notion that is now being contested as unproven with a strain on available limited resources23. This has become even more burdensome in many developing countries where ICU space is scarce, and the neurosurgical units often compete with other surgical specialties for the few ICU bed spaces. These countries also have infrastructural problems such as a lack or insufficient number of mechanical ventilators and even the availability of oxygen48-51. There might also be a deficiency in nursing care and other personnel needed for care52, and sepsis control may be a major challenge in many of these centers53, 54. It is, therefore, imperative to begin to optimize resources right from the pre-operative and intra-operative period to reduce the number of patients that are admitted into the ICU following brain tumour surgery. The resources in the ICU are limited and expensive; it is, therefore, necessary to identify and carefully select those who really require or benefit the most from such service55.

LIMITATIONS

This is a single institutional study and thus extrapolation of the findings must be interpreted within the peculiarities of other centers, though the result will be useful in other LMIC centers. We also acknowledge the small number of the cohort of the patients, which impacted on the limited comparisons of the different groups of patients and pathologies. This was due to the Covid-19 crisis as well as a prolonged industrial dispute between the resident doctors and the Nigerian government.

CONCLUSION

Our study finding suggests as previously established, that most patients are admitted to the ICU following brain tumour surgery for observation, therefore appropriate patient stratification can lead to more patients being managed in step-down units or the wards. Investment in key equipment both pre-operatively and intra-operatively will ensure safety and timely completion of surgical procedures, thus further reducing the tendency to ICU admission. Training and developing expertise in techniques such as awake craniotomy and endoscopic interventions may also significantly reduce ICU admission and eventually the overall cost of caring for these patients. A larger, perhaps multi-centre study, will provide a more comprehensive review of this subject matter.

Table 1:

Sociodemographic characteristics of studied patients

Sociodemographic Characteristics Frequency (n) Percentage (%)

Age group (years)s
0 - 24 11 19.6
25 - 64 34 60.7
≥65 11 19.6
Gender
Male 27 48.2
Female 29 51.8

REFERENCES

  • 1.Laan Mt, Roelofs S, Van Huet I, et al. Selective intensive care unit admission after adult supratentorial tumor craniotomy: complications, length of stay, and costs. Neurosurgery. 2020;86(1):E54–E9. doi: 10.1093/neuros/nyz388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.de Almeida CC, Boone MD, Laviv Y, et al. The utility of routine intensive care admission for patients undergoing intracranial neurosurgical procedures: a systematic review. Neurocritical care. 2018;28(1):35–42. doi: 10.1007/s12028-017-0433-4. [DOI] [PubMed] [Google Scholar]
  • 3.Kelly DF. Neurosurgical postoperative care. Neurosurgery Clinics of North America. 1994;5(4):789–810. [PubMed] [Google Scholar]
  • 4.Osorio JA, Safaee MM, Viner J, et al. Cost-effectiveness development for the postoperative care of craniotomy patients: a safe transitions pathway in neurological surgery. Neurosurgical Focus. 2018;44(5):E19. doi: 10.3171/2018.FOCUS1812. [DOI] [PubMed] [Google Scholar]
  • 5.Balogun JA, Akwada O, Awana E, et al. Access to the intensive care unit by severe head injury patients. Journal of Neurosciences in rural practice. 2019;10(04):666–671. doi: 10.1055/s-0039-3399476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Reardon PM, Fernando SM, Van Katwyk S, et al. Characteristics, outcomes, and cost patterns of high-cost patients in the intensive care unit. Critical care research. 2018:2018. doi: 10.1155/2018/5452683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Benzil DL, Zusman EE. Defining the value of neurosurgery in the new healthcare era. Neurosurgery. 2017;80(4S):S23–S7. doi: 10.1093/neuros/nyx002. [DOI] [PubMed] [Google Scholar]
  • 8.Awosusi A, Folaranmi T, Yates R. Nigeria’s new government and public financing for universal health coverage. The Lancet Global Health. 2015;3(9):e514–e5. doi: 10.1016/S2214-109X(15)00088-1. [DOI] [PubMed] [Google Scholar]
  • 9.Drislane FW, Akpalu A, Wegdam HH. The medical system in Ghana. The Yale journal of biology medicine. 2014;87(3):321. [PMC free article] [PubMed] [Google Scholar]
  • 10.Tagoe N, Essuman V, Fordjuor G, et al. Neuro-ophthalmic and clinical characteristics of brain tumors in a tertiary hospital in Ghana. Ghana medical journal. 2015;49(3):181–186. doi: 10.4314/gmj.v49i3.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Deschepper M, Eeckloo K, Malfait S, et al. Prediction of hospital bed capacity during the COVID-19 pandemic. BMC health services research. 2021;21(1):1–10. doi: 10.1186/s12913-021-06492-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Goic M, Bozanic-Leal MS, Badal M, et al. COVID-19: Short-term forecast of ICU beds in times of crisis. Plos one. 2021;16(1):e0245272. doi: 10.1371/journal.pone.0245272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pecoraro F, Luzi D, Clemente F, et al. The efficiency in the ordinary hospital bed management: A comparative analysis in four European countries before the COVID-19 outbreak. PLoS One. 2021;16(3):e0248867. doi: 10.1371/journal.pone.0248867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Sen-Crowe B, Sutherland M, McKenney M, et al. A closer look into global hospital beds capacity and resource shortages during the COVID-19 pandemic. Journal of Surgical Research. 2021;260:56–63. doi: 10.1016/j.jss.2020.11.062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Remuzzi A, Remuzzi G. COVID-19 and Italy: what next? The lancet. 2020;395(10231):1225–1228. doi: 10.1016/S0140-6736(20)30627-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Iyengar K, Bahl S, Vaishya R, et al. Challenges and solutions in meeting up the urgent requirement of ventilators for COVID-19 patients. Diabetes Metabolic Syndrome: Clinical Research. 2020;14(4):499–501. doi: 10.1016/j.dsx.2020.04.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Madekurozwa M, Bonneuil WV, Frattolin J, et al. A Novel Ventilator Design for COVID-19 and Resource-Limited Settings. Frontiers in medical technology. 2021;3:53. doi: 10.3389/fmedt.2021.707826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Weller M, Preusser M. How we treat patients with brain tumour during the COVID-19 pandemic. ESMO open. 2019;4:e000789. doi: 10.1136/esmoopen-2020-000789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mallari RJ, Avery MB, Corlin A, et al. Streamlining brain tumor surgery care during the COVID-19 pandemic: A case-control study. Plos one. 2021;16(7):e0254958. doi: 10.1371/journal.pone.0254958. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Osuagwu UL, Xu M, Piya MK, et al. Factors associated with long intensive care unit (ICU) admission among inpatients with and without diabetes in South Western Sydney public hospitals using the New South Wales admission patient data collection (2014–2017) BMC Endocrine Disorders. 2022;22(1):1–10. doi: 10.1186/s12902-022-00933-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Liisanantti JH, Ohtonen P, Kiviniemi O, et al. Risk factors for prolonged intensive care unit stay and hospital mortality in acute drug-poisoned patients: an evaluation of the physiologic and laboratory parameters on admission. Journal of critical care. 2011;26(2):160–165. doi: 10.1016/j.jcrc.2010.08.009. [DOI] [PubMed] [Google Scholar]
  • 22.Heimrath OP, Buth KJ, L gar JF. Long-term outcomes in patients requiring stay of more than 48 hours in the intensive care unit following coronary bypass surgery. Journal of critical care. 2007;22(2):153–158. doi: 10.1016/j.jcrc.2006.09.009. [DOI] [PubMed] [Google Scholar]
  • 23.Bui JQ, Mendis RL, Van Gelder JM, et al. Is postoperative intensive care unit admission a prerequisite for elective craniotomy? Journal of neurosurgery. 2011;115(6):1236–1241. doi: 10.3171/2011.8.JNS11105. [DOI] [PubMed] [Google Scholar]
  • 24.Idowu O, Adeleye A, Amanor-Boadu S. Awake craniotomy for intracranial lesions: An audit of the anaesthetists initial experience at the University College Hospital, Ibadan. Egyptian Journal of Anaesthesia. 2016;32(4):559–564. [Google Scholar]
  • 25.Serletis D, Bernstein M. Prospective study of awake craniotomy used routinely and nonselectively for supratentorial tumors. Journal of neurosurgery. 2007;107(1):1–6. doi: 10.3171/JNS-07/07/0001. [DOI] [PubMed] [Google Scholar]
  • 26.Jones H, Smith M. Awake craniotomy. Continuing Education in Anaesthesia Critical Care. 2004;4(6):189–192. [Google Scholar]
  • 27.Dziedzic T, Bernstein M. Awake craniotomy for brain tumor: indications, technique and benefits. Expert review of neurotherapeutics. 2014;14(12):1405–1415. doi: 10.1586/14737175.2014.979793. 10.1586/14737175.2014.979793. [DOI] [PubMed] [Google Scholar]
  • 28.Hervey-Jumper SL, Li J, Lau D, et al. Awake craniotomy to maximize glioma resection: methods and technical nuances over a 27-year period. Journal of neurosurgery. 2015;123(2):325–39. doi: 10.3171/2014.10.JNS141520. 10.3171/2014.10.JNS141520. [DOI] [PubMed] [Google Scholar]
  • 29.Bernstein M. Outpatient craniotomy for brain tumor: a pilot feasibility study in 46 patients. Canadian journal of neurological sciences. 2001;28(2):120–4. doi: 10.1017/s0317167100052781. 10.1017/s0317167100052781. [DOI] [PubMed] [Google Scholar]
  • 30.Balogun JA, Idowu OK, Malomo AO. Challenging the myth of outpatient craniotomy for brain tumor in a Sub-Saharan African setting: A case series of two patients in Ibadan, Nigeria. Surgical Neurology International. 2019 doi: 10.25259/SNI-47-2019. 10.25259/SNI-47-2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sioshansi PC, Conway RM, Anderson B, et al. Risk Factors for Complications Following Lateral Skull Base Surgery and the Utility of ICU Monitoring. Otology. 2021;42(9):e1362–e8. doi: 10.1097/MAO.0000000000003269. 10.1097/MAO.0000000000003269. [DOI] [PubMed] [Google Scholar]
  • 32.Chand P. Peri-operative anesthetic events in posterior fossa tumor surgery. Post-Graduate Medical Journal of NAMS. 2015;12(02) [Google Scholar]
  • 33.Lonjaret L, Guyonnet M, Berard E, et al. Postoperative complications after craniotomy for brain tumor surgery. J Anaesthesia Critical Care. 2017;36(4):213–8. doi: 10.1016/j.accpm.2016.06.012. 10.1016/j.accpm.2016.06.012. [DOI] [PubMed] [Google Scholar]
  • 34.Mahajan C, Rath GP, Sharma MS, et al. Rate and reasons for elective ventilation in patients undergoing intracranial tumour surgery. Journal of Neuroanaesthesiology Critical care research. 2014;1(02):125–130. [Google Scholar]
  • 35.Anthofer J, Wester M, Zeman F, et al. Case-control study of patients at risk of medical complications after elective craniotomy. World Neurosurgery. 2016;91:58–65. doi: 10.1016/j.wneu.2016.03.087. [DOI] [PubMed] [Google Scholar]
  • 36.Rhondali O, Genty C, Halle C, et al. Do patients still require admission to an intensive care unit after elective craniotomy for brain surgery? Journal of neurosurgical anesthesiology. 2011;23(2):118–123. doi: 10.1097/ANA.0b013e318206d5f8. [DOI] [PubMed] [Google Scholar]
  • 37.Ziai WC, Varelas PN, Zeger SL, et al. Neurologic intensive care resource use after brain tumor surgery: an analysis of indications and alternative strategies. Critical care medicine. 2003;31(12):2782–2787. doi: 10.1097/01.CCM.0000098860.52812.24. [DOI] [PubMed] [Google Scholar]
  • 38.Todd MM, Warner DS, Sokoll MD, et al. A prospective, comparative trial of three anesthetics for elective supratentorial craniotomy. Propofol/fentanyl, isoflurane/nitrous oxide, and fentanyl/nitrous oxide. Anesthesiology. 1993;78(6):1005–20. doi: 10.1097/00000542-199306000-00002. 10.1097/00000542-199306000-00002. [DOI] [PubMed] [Google Scholar]
  • 39.Lauta E, Abbinante C, Del Gaudio A, et al. Emergence times are similar with sevoflurane and total intravenous anesthesia: results of a multicenter RCT of patients scheduled for elective supratentorial craniotomy. Journal of neurosurgical anesthesiology. 2010;22(2):110–118. doi: 10.1097/ANA.0b013e3181c959da. 10.1097/ANA.0b013e3181c959da. [DOI] [PubMed] [Google Scholar]
  • 40.Magni G, La Rosa I, Melillo G, et al. A comparison between sevoflurane and desflurane anesthesia in patients undergoing craniotomy for supratentorial intracranial surgery. Anesthesia Analgesia. 2009;109(2):567–571. doi: 10.1213/ane.0b013e3181ac1265. [DOI] [PubMed] [Google Scholar]
  • 41.Citerio G, Pesenti A, Latini R, et al. A multicentre, randomised, open-label, controlled trial evaluating equivalence of inhalational and intravenous anaesthesia during elective craniotomy. European Journal of Anaesthesiology EJA. 2012;29(8):371–379. doi: 10.1097/EJA.0b013e32835422db. 10.1097/EJA.0b013e32835422db. [DOI] [PubMed] [Google Scholar]
  • 42.Dinsmore J. Anaesthesia for elective neurosurgery. British journal of anaesthesia. 2007;99(1):68–74. doi: 10.1093/bja/aem132. 10.1093/bja/aem132. [DOI] [PubMed] [Google Scholar]
  • 43.From RP, Warner DS, Todd MM, et al. Anesthesia for craniotomy: a double-blind comparison of alfentanil, fentanyl, and sufentanil. The Journal of the American Society of Anesthesiologists. 1990;73(5):896–904. [PubMed] [Google Scholar]
  • 44.Weiser TG, Semel ME, Simon AE, et al. In-hospital death following inpatient surgical procedures in the United States, 1996 2006. World journal of surgery. 2011;35(9):1950–1956. doi: 10.1007/s00268-011-1169-5. [DOI] [PubMed] [Google Scholar]
  • 45.Organization WH. World Alliance for Patient Safety. WHO guidelines for safe surgery. http://www.gawande.com/documents/WHOGuidelinesforSafeSurgery.pdf. 2008.
  • 46.Mascha EJ, Mazo V, et al. Predicting In-hospital Postoperative Mortality for the Practitioner: Beyond the Numbers. Anesthesiology. 2016;124(3):523–525. doi: 10.1097/ALN.0000000000000973. 10.1097/ALN.0000000000000973. [DOI] [PubMed] [Google Scholar]
  • 47.Cinotti R, Bruder N, Srairi M, et al. Prediction score for postoperative neurologic complications after brain tumor craniotomy: a multicenter observational study. Anesthesiology. 2018;129(6):1111–20. doi: 10.1097/ALN.0000000000002426. 10.1097/ALN.0000000000002426. [DOI] [PubMed] [Google Scholar]
  • 48.Murthy S, Leligdowicz A, Adhikari NK, et al. Intensive care unit capacity in low-income countries: a systematic review. PloS one. 2015;10(1):e0116949. doi: 10.1371/journal.pone.0116949. 10.1371/journal.pone.0116949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wunsch H, Angus DC, Harrison DA, et al. Variation in critical care services across North America and Western Europe. Critical care medicine. 2008;36(10):2787–e8. doi: 10.1097/CCM.0b013e318186aec8. 10.1097/CCM.0b013e318186aec8. [DOI] [PubMed] [Google Scholar]
  • 50.Bates I, Maitland K. Are laboratory services coming of age in sub-Saharan Africa? Clinical Infectious Diseases. 2006;42(3):383–4. doi: 10.1086/499368. 10.1086/499368. [DOI] [PubMed] [Google Scholar]
  • 51.Baker T. Critical care in low-income countries. Tropical Medicine International Health. 2009;14(2):143–148. doi: 10.1111/j.1365-3156.2008.02202.x. [DOI] [PubMed] [Google Scholar]
  • 52.Argent A. Critical care in Africa. Southern African Journal of Critical Care. 2009;25(1):4–8. [Google Scholar]
  • 53.Baelani I, Jochberger S, Laimer T, et al. Availability of critical care resources to treat patients with severe sepsis or septic shock in Africa: a self-reported, continent-wide survey of anaesthesia providers. Critical care. 2011;15(1):1–12. doi: 10.1186/cc9410. 10.1186/cc9410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units. Jama. 2009;302(21):2323–9. doi: 10.1001/jama.2009.1754. 10.1001/jama.2009.1754. [DOI] [PubMed] [Google Scholar]
  • 55.Ghaffar S, Pearse RM, Gillies MA, et al. ICU admission after surgery: who benefits? Current Opinion in Critical Care. 2017;23(5):424–429. doi: 10.1097/MCC.0000000000000448. 10.1097/MCC.0000000000000448. [DOI] [PubMed] [Google Scholar]

Articles from Annals of Ibadan Postgraduate Medicine are provided here courtesy of Association of Resident Doctors, University College Hospital, Ibadan, Nigeria

RESOURCES