Research Article
Clinical Predictors of Abnormal Head CT Findings for Non Trauma Patients at the Eric Williams Medical Sciences Complex (EWMSC) Emergency Department
Fidel Rampersad* and Anil Boodram
Corresponding Author: Fidel Rampersad, Radiology Department, Eric Williams Medical Sciences Complex, Uriah Butler Highway, Champ Fleurs, Trinidad and Tobago, West Indies
Received: April 12, 2019; Revised: January 11, 2020; Accepted: April 16, 2019
Citation: Rampersad F & Boodram A. (2020) Clinical Predictors of Abnormal Head CT Findings for Non Trauma Patients at the Eric Williams Medical Sciences Complex (EWMSC) Emergency Department. J Neurosurg Imaging Techniques, 5(1): 224-232.
Copyrights: Rampersad F & Boodram A. (2020) Clinical Predictors of Abnormal Head CT Findings for Non Trauma Patients at the Eric Williams Medical Sciences Complex (EWMSC) Emergency Department. J Neurosurg Imaging Techniques, 5(1): 224-232.
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Background: The utilization of Computed tomography (CT) has exponentially increased since its inception, providing faster and more reliable results. However, there are several downsides which include: increased radiation exposure to patient, increased health care cost and increased output times at a radiology department. In the acute setting for example, the Emergency Department (ED), the increase use of this modality therefore has widespread ramifications. Therefore, more selective use of CT in the ED can reduce the number of unnecessary scans done, resulting in a reduction in healthcare cost. Clinical decision guidelines to assist physicians in ordering head CT for these patients are therefore needed. The objective of this study was to determine the clinical predictors of abnormal imaging findings among those patients in the ED with non-traumatic history who underwent head CT at the EWMSC. Currently, such data does not exist locally and this study can serve as a foundation for creation of protocols and guidelines. The results can also be compared to international findings.

Method: Ethical approval was obtained and a retrospective analysis of the non-contrast head CT examinations done for patients who presented to the ED from June 1st to August 31st, 2016, analyzed. The patients were adult patients with non-traumatic history or no known intracranial pathology. A multivariable logistic regression was performed with correlation of each of the variables with predicting abnormal findings expressed as an adjusted odd ratio (OR) and confidence interval of 95% (CI).

Results: Of 2090 unenhanced Head CT images done at the EWMSC between June 1st to August 31st, 2016, 701 were eligible for this study. Only 153 (21.8%) revealed any abnormalities. Five predictors of abnormal findings were identified and they included age (adjusted OR 1.18; 95% CI: 1.09, 1.29), elevated blood pressure (OR: 2.23: 95% CI 1.15, 4.34), posterior fossa symptoms (OR: 4.12; 95% CI: 2.29, 7.43) focal neurologic deficit (OR: 5.40; 95% CI: 3.91, 7.48) and altered mental status (OR: 2.33; 95% CI: 1.67, 3.26).

Conclusion: Five variables were independent predictors of abnormal findings among ED patients who were referred for head CT for non-trauma related indications: age>65, elevated blood pressure, altered mental status, posterior fossa symptoms and focal neurological deficits.

Levels of evidence: III

Study type: Retrospective study, economic and value based evaluation.

 

Keywords: Non-contrast head CT, Emergency department

INTRODUCTION

Since the development of the first generation CT in 1972, the use of CT has demonstrated an exponential increase. It was been estimated that in the United States of America about 70 million CT examinations are done annually [1,2]. Research has shown a six fold increase in CT utilization was demonstrated from the period 1995 to 2007 [3]. It has been postulated that this is due by increased frequency of CT scanning with a smaller fraction being attributable to increased patient load [3]. Faster and more accurate diagnosis   with   an   increased   awareness   of   malpractice litigation has are some factors accountable for this trend [4-8].

CT scans are non-invasive and can proved faster and more accurate results and can be protective in cases of medicolegal litigation [9-11]. However, there are several downsides such as the exposure to radiation, increased output times leading to an increase cost and burden to an already limited health care system. In the acute setting, the increase use of this modality therefore has widespread ramifications.

Around 60-70% of all CT requests from our Radiology Department are from the Emergency Department. In 2005, it was estimated that the average cost of a non-enhancement Head CT to the institution (EWMSC) was $1,200 TTD (equivalent to $176 USD) in comparison to a typical hospital in the United States which ranges from $400-$800 USD [12,13].

A recent study performed at the EWMSC by Rampersad et al., analyzed Head CT studies in patients with head trauma. However, there has been no study to analyze the referral patterns and outcomes of CT Brain in patients without trauma.

Few studies have postulated scans in patients with no trauma are of low diagnostic yield; however it was limited to the characteristics [14-22]. It was seen that, almost all non-trauma patients with abnormal findings demonstrated a positive neurologic examinations and most of who were over the age of 65 [20-22].  More robust data in identifying clinical predictors of finding an abnormality in head CT findings is therefore lacking.

The creation of guidelines to aid the Emergency doctors to more efficiently and accurately refers patients for CT scanning and therefore has the potential to reduce the burden and reduce the cost of health care.

There are several decision aids that exist which provide guidelines to reduce the utilization of radiation in low-risk patients and include the National Emergency X-Radiography Utilization Study, the Canadian Cervical Spine Rule and the Ottawa Foot and Ankle Rules [23-25]. There are even less aids for the use of CT, one example of which is the Canadian Head CT Rule [12]. The importance of more selective importance in today’s medical practice where the threshold for the use of CT has decreased and often it is increasingly used among healthy individuals in whom the potential harmful effects and cost/burden to health care resources may outweigh the benefits of the study.

The main objective of our research was to pin point those symptoms that are mostly like to predict an abnormality in an unenhanced CT Brain among those patients without trauma who presented to the EWMSC.

Local data regarding these referral patterns does not exist in the literature and this study provides a starting ground for further revision of protocols and comparison across other radiology departments both locally and regionally.

METHODS

Study population

Data was collected after approval from the ethics board and was done at the EWMSC Radiology Department, a tertiary health care facility and subspecialty referral center.

The department also provided the advantage of a picture archiving and communications system and Radiology information system that made data collection more efficient. Consecutive Head CT examinations performed on patients from the Emergency Department from June 1st to August 31st, 2016 were collected.

Patients that were excluded from this study include those who:

·         were not referred by the EWMSC ED

·         were less than 18 years old

·         had an history of trauma

·         had known current intracranial pathology

·         had a known history of brain tumor/lesion- either primary or metastatic in nature

Those requisitions that did not state any of the clinical predictors of interest were also excluded.

The CT studies were interpreted by radiology residents and certified by local board-certified radiologists.

Data collection

Data was categorized based on demographic and clinical symptoms into the following variables:

·         Age

·         Sex- Male/Female

·         Presence of headache or signs of meningism

·         Vomiting and/or nausea

·         Altered mental status

·         Focal neurologic deficits

·         Posterior fossa symptoms

·         Seizures

·         Presence of seizure disorder such as epilepsy

·         Presence of a malignancy

·         Illicit drug use, including alcohol

·         Fever or elevated leukocytes

·         Altered blood pressure

·         Altered coagulation profile

·         Weakness and/or fatigue

Primary outcome

The main outcome was abnormal finding on an unenhanced head CT image and includes the following:

·         Acute intra or extra cranial hemorrhage

·         Ischemic infarction, either acute or sub-acute

·         Mass lesion

Information was obtained using the official reports on head CT examinations accessed on the PACS.

Sample size determination

About 10 outcomes were required for each of the variable used in logistic regression model in order to avoid over-fitting [26,27].

We aimed to examine 15 candidate independent variables with abnormal findings on head CT scans. Therefore, at least 150 CT findings with abnormal findings were required.

DATA ANALYSIS

The total data set was collected between June 1st to August 31st, 2016. August 31st, 2016, was chosen as a cut-off date because this provided a data set that had the minimum requirement of 150 head CT images showing an abnormality.

Standard descriptive and multivariate logistic regression analyses were performed using the 15 candidate variables. The strength of each association of each variable with the primary outcome was expressed as an adjusted odds ratio and 95% confidence interval. A P value of 0.05 suggested statistical significance. SPSS version 23.0 (IBM, San Jose, Calif) was used in analysis.

RESULTS

From June 1st and August 31st, 2016, 2090 CT examinations were identified on our PACS. Of these, 599 (28.7%) were not from the ED and 103 were pediatric patients (4.9%). Patients who had insufficient data or incomplete request forms amounted to 108 patients or 5.2%. 470 patients (22.4%) had a history of trauma and 109 patients (5.2%) had a known intracranial pathology. Only 701 CT (33.5%) of the total met our eligibility criteria (Figure 1 and Table 1).

Apart from age 9 (over 18) and gender/sex, 13 variables were assessed in our study population (Figures 2-5 and Table 2).

The following 5 variables were identified as independent variables (Tables 3 and 4):

Abnormal findings were less apparent (8 of 98 [8.1%]) in patients who presented with a seizure (145 of 603 [24%]). Furthermore, there were no abnormal findings in those who had a known seizure disorder such as epilepsy.

If patients had been scanned only if they had one or more of the five independent clinical predictors regardless of age a sensitivity of 94.2% (144 of 153 images with positive findings). The number of examinations to would be reduced by 69.9% o (490 of 701). A small increase in sensitivity to 96.0% (147 of 275) would have been achieved if patients over the age of 70 were scanned.

DISCUSSION

In our research, the following independent clinical predictors of abnormal CT findings were found after analyzing the images and reports of 701 patients: age older than 65 years, altered/elevated blood pressure at presentation, focal neurologic deficit, altered mental status and the presence of posterior fossa symptoms.

To determine to true effect of this prediction rule there will be a prospectively study will be needed; however this preliminary analysis suggested that the number of CT examinations performed could have been reduced by almost 20% of the original number.

These results are comparable to the Canadian Assessment of Tomography for Childhood Head injury (CATCH) [28]. It also compares favorably with the Canadian CT head rule developed by Papa et al. [29].

This study does not did not provide any correlation between an abnormal Head CT finding with the following variables as the only presenting symptom: headaches, fever and/or elevated white blood cells, nausea or vomiting, vertigo, dizziness, seizure, seizure disorder, drug use and/or alcohol use, history of malignancy or generalized constitutional symptoms in patients under the age of 65 years.

In the literature, there are few studies examine that examine non-trauma patients. These studies are typically smaller but demonstrate that head CT examinations in this population are of low diagnostic yield. Moreover, nearly all patients with abnormal CT findings also had abnormal neurologic examination findings. Naughton et al. [17] determined that only 15% had positive findings on CT.

Another study of 200 patients who presented with acute dizziness or vertigo found no findings that could be the primary cause [18].

Lai et al. [30] examined 300 elderly patients with delirium and concluded that new neurologic deficits, deterioration in consciousness, and recent history of a fall predicted abnormal CT. Several other studies mirrored similar predictor variables (14-19, 31-32).

In our study population, several patients who presented with headache would not have met the criteria for a Head CT. However, one of these patients did have a non-aneurysmal subarachnoid hemorrhage (SAH). The remainder of patients with SAH had either one or more of the 5 predictor variables and would have qualified for a head CT. Due to the retrospective nature of our study, all headaches were grouped into a single category as no distinction could be made between sudden onset headaches versus those that had been present for several days or has been increasing in severity.

Time for a headache to peak is one feature that has echoed few studies and could be a preliminary predictor of SAH [33]. The American College of Emergency Physicians recommends that patients with headache and demonstrable neurological deficit and those who present with new sudden-onset severe headache should undergo urgent unenhanced head CT [34]. Such policies present a challenge. Currently Perry et al. [35] are conducting a prospective study regarding the referral of patients with new sudden-onset severe headache.

There was no preliminary evidence from our study to routinely refer patients who presents solely with seizure or seizure disorder. It was deduced in several reviews that patients who have seizures will also have other symptoms or variable which greatly increases the likelihood of an abnormal CT finding [36,37].

The Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology is responsible for developing clinical practice guidelines for the use of diagnostic test various presentations such as seizures and aims to employ improved methodology [38]. In their assessment in 1999, the authors investigated the probability that imaging would lead to an acute or urgent change in management

Our work can add to this field locally because, to our knowledge, it is the first study locally and regionally to examine a comprehensive set of clinical features that are associated with abnormal head CT in our patient population.

LIMITATIONS

There were several limitations in our research. Firstly, there were no standardization in assessment and documentation due to the retrospective nature of the study. There were some limitations as the CT request form or requisition did not clearly state the presence or absence of the clinical variables that were investigated. It was assumed that a feature was not present if there were no mention of it. Furthermore, there were no communication between the referring physician so there was no understanding of the day to day functioning and justification of the requisition.

There was also no standard terminology within the CT requisitions. An example of this was seen in those referral forms that stated “LOC” which made it unclear whether it meant “loss of consciousness” or “altered consciousness.” To avoid such limitations categorized the requisition under broad definitions for some predictors, such as “altered mental status” (which could include loss of consciousness, dizziness, syncope, delirium and amnesia). However, this had likely lowered the specificity.

Finally, our results are from a busy tertiary academic level hospital which provides services to a large fraction of the population and the results of our study might not be appropriate in another clinical setting such as local health centers or non-academic urban centers.

CONCLUSION

Five variables were independent predictors of abnormal findings among ED patients who were referred for head CT for non-trauma-related indications: age over 65, elevated blood pressure, altered mental status, posterior fossa symptoms and focal neurological deficits.

FURTHER RECOMMENDATIONS

To further validate our findings, a prospective research or validation in our population is warranted and can reduce the number of referrals to radiology departments which can lead to a more efficient and optimized service and potentially reduce the burden on our limited health care resources.

1.       IMV Medical Information Division (2007) Benchmark report CT 2007. Des Plaines, Ill: IMV Medical Information Division.

2.       National Centre for Health Statistics (2010) Health, United States, 2009 with special feature on medical technology. U.S. Department of Health and Human Services Website. Available at: http://www.cdc.gov/nchs/data/hus/hus09.pdf. Updated February 24, 2010.

3.       Larson DB, Johnson LW, Schnell BM, Salisbury SR, Forman HP (2011) National trends in CT use in the emergency department: 1995-2007. Radiology 258: 164-173.

4.       Boone JM, Brunberg JA (2008) Computed tomography utilization in a tertiary care university hospital. J Am Coll Radiol 5: 132-138.

5.       Broder J, Warshauer DM (2006) Increasing utilization of computed tomography in the adult emergency department, 2000-2005. Emerg Radiol l3: 25-30.

6.       Broder J, Fordham LA (2007) Increasing utilization of computed tomography in the pediatric emergency department, 2000-2006. Emerg Radiol 14: 227-232.

7.       Broder JS (2008) CT utilization: The emergency department perspective. Pediatr Radiol 38: S664-S669.

8.       Sosna J, Slasky S, Bar-ziv J (1997) Computed tomography in the emergency department. Am J Emerg Med 15: 244-247.

9.       Brenner DJ, Hall EJ (2007) Computed tomography - An increasing source of radiation exposure. N Engl J Med 357: 2277-2284.

10.    Chen JL, Dorfman GS, Li MC, Cronan JJ (1996) Use of computed tomography scanning before and after sitting in an emergency department. Acad Radiol 3: 678-682.

11.    Romano S, Romano L (2010) Utilization patterns of multidetector computed tomography in elective and emergency conditions: indications, exposure risk and diagnostic gain. Semin Ultrasound CT MR 31: 53-56.

12.    Stiell IG, Lesiuk H, Wells GA, McKnight RD, Brison R, et al. (2001) The Canadian CT head rule study for patients with minor head injury: Rationale, objectives and methodology for phase I (derivation). Ann Emerg Med 38: 160-169.

13.    Stein SC, Fabbri A, Servadei F (2008) Routine serial computed tomographic scans in mild traumatic brain injury: When are they cost-effective? J Trauma 65: 66-72.

14.    Brown G, Warren M, Williams JE, Adam EJ, Coles JA (1993) Cranial computed tomography of elderly patients: An evaluation of its use in acute neurological presentations. Age Ageing 22: 240-243.

15.    Hirano LA, Bogardus ST Jr, Saluja S, Leo-Summers L, Inouye SK (2006) Clinical yield of computed tomography brain scans in older general medical patients. J Am Geriatr Soc 54: 587-592.

16.    Hardy JE, Brennan N (2008) Computerized tomography of the brain for elderly patients presenting to the emergency department with acute confusion. Emerg Med Australas 20: 420-424.

17.    Colledge N, Lewis S, Mead G, Sellar R, Wardlaw J, et al. (2002) Magnetic resonance brain imaging in people with dizziness: A comparison with non-dizzy people. J Neurol Neurosurg Psychiatry 72: 587-589.

18.    Giglio P, Bednarczyk EM, Weiss K, Bakshi R (2005) Syncope and head CT scans in the emergency department. Emerg Radiol 12: 44-46.

19.    Kapoor WN (1990) Evaluation and outcome of patients with syncope. Medicine (Baltimore) 69: 160-175.

20.    Naughton BJ, Moran M, Ghaly Y, Michalakes C (1997) Computed tomography scanning and delirium in elder patients. Acad Emerg Med 4: 1107-1110.

21.    Wasay M, Dubey N, Bakshi R (2005) Dizziness and yield of emergency head CT scan: Is it cost effective? Emerg Med J 22: 312.

22.    Grossman SA, Fischer C, Bar JL, Lipsitz LA, Mottley L, et al. (2007) The yield of head CT in syncope: A pilot study. Intern Emerg Med 2: 46-49.

23.    Hoffman JR, Wolfson AB, Todd K, Mower WR (1998) Selective cervical spine radiography in blunt trauma: Methodology of the National Emergency X-Radiography Utilization Study (NEXUS). Ann Emerg Med 32: 461-469.

24.    Stiell IG, Wells GA, Vandemheen K, Clement CM, Lesiuk H, et al. (2001) The Canadian C-spine rule for radiography in alert and stable trauma patients. JAMA 286: 1841-1848.

25.    Steill IG, Greenberg GH, McKnight RD, Nair RC, McDowell I, et al. (1992) A study to develop clinical decision rules for the use of radiography in acute ankle injuries. Ann Emerg Med 21: 384-390.

26.    Harrell FE Jr, Lee KL, Califf RM, Pryor DB, Rosati RA (1984) Regression modeling strategies for improved prognostic prediction. Stat Med 3: 143-152.

27.    Laupacis A, Sekar N, Stiell IG (1997) Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA 277: 488-494.

28.    Osmond MH, Klassen TP, Wells GA, Correll R, Jarvis A, et al. (2010) CATCH: A clinical decision rule for the use of computed tomography in children with minor head injury. CMAJ 182: 341-348.

29.    Papa L, Stiell IG, Clement CM, Pawlowicz A, Wolfram A, et al. (2012) Performance of the Canadian CT head rule and the New Orleans criteria for predicting any traumatic intracranial injury on computed tomography in a United States Level I trauma center. Acad Emerg Med 19: 2-10.

30.    Lai MM, Wong Tin Niam DM (2012) Intracranial cause of delirium: Computed tomography yield and predictive factors. Intern Med J 42: 422-427.

31.    Lim BL, Lim GH, Heng WJ, Seow E (2009) Clinical predictors of abnormal computed tomography findings in patients with altered mental status. Singapore Med J 50: 885-888.

32.    Al-Nsoor NM, Mhearat AS (2010) Brain computed tomography in patients with syncope. Neurosciences (Riyadh) 15: 105-109.

33.    Breen DP, Duncan CW, Pope AE, Gray AJ, Al-Shahi Salman R (2008) Emergency department evaluation of sudden, severe headache. QJM 101: 435-443.

34.    Huff JS, Melnick ER, Tomaszewski CA, Thiessen ME, Jagoda AS, et al. (2014) Clinical policy: Critical issues in the evaluation and management of adult patients presenting to the emergency department with seizures. Ann Emerg Med 63: 437-47.e15.

35.    Perry JJ, Stiell IG, Sivilotti ML, Bullard MJ, Lee JS, et al. (2010) High risk clinical characteristics for subarachnoid hemorrhage in patients with acute headache: Prospective cohort study. BMJ 341: c5204.

36.    Harden CL, Huff JS, Schwartz TH, Dubinsky RM, Zimmerman RD, et al. (2007) Reassessment: Neuroimaging in the emergency patient presenting with seizure (an evidence-based review): Report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology 69: 1772-1780.

37.    Jagoda A, Gupta K (2011) The emergency department evaluation of the adult patient who presents with a first-time seizure. Emerg Med Clin North Am 29: 41-49.

38.    (1996) Practice Parameter: Neuroimaging in the emergency patient presenting with seizure: Summary statement. Quality Standards Subcommittee of the American Academy of Neurology in cooperation with American College of Emergency Physicians, American Association of Neurological Surgeons, and American Society of Neuroradiology. Neurology 47: 288-291.