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Which older emergency patients are at risk of intracranial bleeding after a fall? A protocol to derive a clinical decision rule for the emergency department
  1. Kerstin de Wit1,2,3,
  2. Mathew Mercuri2,4,
  3. Natasha Clayton2,5,
  4. Andrew Worster2,3,
  5. Eric Mercier6,7,
  6. Marcel Emond6,7,
  7. Catherine Varner8,9,
  8. Shelley L McLeod8,9,
  9. Debra Eagles10,11,
  10. Ian Stiell10,
  11. David Barbic12,13,
  12. Judy Morris14,15,
  13. Rebecca Jeanmonod16,
  14. Yoan Kagoma17,
  15. Ashkan Shoamanesh2,
  16. Paul T Engels18,
  17. Sunjay Sharma19,
  18. Clive Kearon2,
  19. Alexandra Papaioannou2,
  20. Sameer Parpia3,20
  21. for the Network of Canadian Emergency Researchers
  1. 1Department of Emergency Medicine, Queen’s University, Kingston, Ontario, Canada
  2. 2Department of Medicine, McMaster University, Hamilton, Ontario, Canada
  3. 3Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
  4. 4Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
  5. 5Emergency Department, Hamilton Health Sciences, Hamilton, Ontario, Canada
  6. 6Centre de recherche du CHU de Québec, Université Laval, Québec, Quebec, Canada
  7. 7Centre de recherche sur les soins et les services de première ligne, Université Laval, Québec, Québec, Canada
  8. 8Schwartz/Reisman Emergency Medicine Institute, Sinai Health System, Toronto, Ontario, Canada
  9. 9Family and community medicine, University of Toronto, Toronto, Ontario, Canada
  10. 10Department of Emergency Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
  11. 11School of Epidemiology and Public Heath, University of Ottawa, Ottawa, Ontario, Canada
  12. 12Emergency Medicine, University of British Columbia, Vancouver, British Columbia, Canada
  13. 13Centre for Health Evaluation Outcome Sciences, St Paul’s Hospital, Vancouver, British Columbia, Canada
  14. 14Department of Family Medicine and Emergency Medicine, Université de Montréal, Montreal, Quebec, Canada
  15. 15Department of Family Medicine and Emergency Medicine, Université de Montréal, Québec, Québec, Canada
  16. 16Emergency Medicine, St. Luke’s University Health Network, Bethlehem, Pennsylvania, USA
  17. 17Department of Radiology, McMaster University, Hamilton, Ontario, Canada
  18. 18Department of Surgery, McMaster University, Hamilton, Ontario, Canada
  19. 19Division of Neurosurgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada
  20. 20Ontario Clinical Oncology Group, McMaster University, Hamilton, Ontario, Canada
  1. Correspondence to Dr Kerstin de Wit; dewitk{at}mcmaster.ca

Abstract

Introduction Falling on level ground is now the most common cause of traumatic intracranial bleeding worldwide. Older adults frequently present to the emergency department (ED) after falling. It can be challenging for clinicians to determine who requires brain imaging to rule out traumatic intracranial bleeding, and often head injury decision rules do not apply to older adults who fall. The goal of our study is to derive a clinical decision rule, which will identify older adults who present to the ED after a fall who do not have clinically important intracranial bleeding.

Methods and analysis This is a prospective cohort study enrolling patients aged 65 years or older, who present to the ED of 11 hospitals in Canada and the USA within 48 hours of having a fall. Patients are included if they fall on level ground, off a chair, toilet seat or out of bed. The primary outcome is the diagnosis of clinically important intracranial bleeding within 42 days of the index ED visit. An independent adjudication committee will determine the primary outcome, blinded to all other data. We are collecting data on 17 potential predictor variables. The treating physician completes a study data form at the time of initial assessment, prior to brain imaging. Data extraction is supplemented by an independent, structured electronic medical record review. We will perform binary recursive partitioning using Classification and Regression Trees to derive a clinical decision rule.

Ethics and dissemination The study was initially approved by the Hamilton Integrated Research Ethics Committee and subsequently approved by the research ethics boards governing all participating sites. We will disseminate our results by journal publication, presentation at international meetings and social media.

Trial registration number NCT03745755.

  • accident & emergency medicine
  • trauma management
  • diagnostic radiology
  • geriatric medicine
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Strengths and limitations of this study

  • This cohort study aims to derive a clinical decision rule, which identifies older adults at risk of intracranial bleeding after a fall.

  • This is a large study enrolling patients from 11 hospitals in two countries.

  • Potential predictor variables are recorded by emergency physicians prior to CT scanning.

  • The primary outcome, clinically important intracranial bleeding, is determined by an independent adjudication committee.

  • The main limitation is that not all patients will have CT imaging of the head at their initial emergency department visit.

Introduction

In contrast to the younger population, the incidence of traumatic intracranial bleeding in older adults is rising1 and has a worse prognosis.2 3 Older adults are at higher risk of traumatic intracranial bleeding because there can be loss of the elastic integrity of the cerebral bridging veins and brain atrophy, allowing rapid movements of the brain within the cerebral spinal fluid with trauma. Older adults may be less able to withstand intracranial bleeding because of pre-existing comorbidity, frailty and polypharmacy.

Falling on level ground is now the most common cause of traumatic intracranial bleeding worldwide, accounting for up to 80% of cases.4–8 Fall-associated intracranial bleeding in older adults is increasing in incidence.9 10 The mortality rate for fall-associated intracranial bleeding is 15%7 11 (accounting for half of all fall-associated deaths).12 13 Rather than seeing a decrease in these deaths, this mortality rate is rising.10 Emergency departments (EDs) are managing an increasing number of older adults who have fallen14 and ED visits for fall-related head injuries in older adults have increased year after year.9 13 15–17 There is a paucity of evidence to guide neuroimaging for intracranial bleeding in older adults.

The Canadian CT Head Rule can determine the need for head CT in head-injured patients who experienced loss of consciousness, disorientation or amnesia after their injury.18 However, older ED patients who present after a fall cannot always give a history of what happened, falls are frequently unwitnessed and many older adults who fall do not sustain a head injury. Ordering a CT scan of the head of every older adult who has fallen would be an inefficient and costly way to diagnose intracranial bleeding when only approximately 5% have intracranial bleeding.19 Patients awaiting a CT scan will typically occupy an ED bed. CT overuse in this population not only causes prolonged ED visits, but it also contributes to ED overcrowding, which may result in worse outcomes for other patients.20 Older adults are at greater risk of developing delirium the longer they stay in the ED.21 There is a need for a simple bedside tool that can rapidly stratify the risk of intracranial bleeding in older ED patients who present after falling. Our aim is to derive a clinical decision rule that will identify older adults who present to the ED after a fall who do not have clinically important intracranial bleeding, and therefore do not require a CT of the head.

Methods and analysis

Study design

This is a prospective cohort study designed to develop a unique clinical decision rule for ED physicians evaluating older adults who have fallen. Clinical decision rules are a commonly applied method of clinical diagnostic decision-making in the ED. The rules incorporate the standardised collection and interpretation of multiple predictor variables from the patient’s history, physical examination and test results to optimise evidence-based clinical decision-making. For example, clinical decision rules are used to determine which patients should have cervical spine imaging in trauma,22 thoracic imaging for pulmonary embolism23 and admission after syncope.24 Our study follows the methodological standards for clinical decision rules in emergency medicine25 and the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis guidelines.26

Patient and public involvement

Prior to the protocol development, we conducted a qualitative study with older adults who were waiting in the ED for CT of the head after a fall. We found that diagnosing intracranial bleeding was important to the participants, that they valued testing tailored to their personal risk and shorter ED visits. This protocol was designed with feedback and input from our patient partners.

Study population

This study is conducted at 11 hospitals in Canada and the United States and enrolls patients aged 65 years or older who present to the ED within 48 hours of having a fall. Patients are eligible if they fall on level ground (either inside or outside), off a chair, toilet seat or out of bed. Patients are included regardless of whether they hit their head. Patients are excluded if they fell down steps, fell from a height, were knocked down by a car/bike/pedestrian or other mechanism of injury. Patients who live outside the hospital catchment area, who have previously been enrolled in this study, who are transferred from another hospital and who leave the ED prior to completion of their medical assessment are also excluded. Recruitment commenced on 30 January 2019. Patients are recruited 24 hours a day, 7 days a week.

Patient assessment

Each patient is assessed at their index ED visit by an emergency physician who decides on the need for CT of the head based on clinical history and examination. It would be impractical to perform a CT of the head on all older adults who have fallen, for example, after a simple trip, because there is not always an indication for CT, hospitals have limited resources and ordering a CT delays discharge home. However, if participants return to the ED within 42 days of enrolment with new confusion, headache, loss of balance, repeat falls, change in behaviour, reduced Glasgow Coma Score (GCS) or other neurological symptoms, they will undergo CT of the head.

Outcome definition and measurement

The primary outcome is ‘clinically important intracranial bleeding’ diagnosed within 42 days of the index ED presentation. Our definition was derived after surveying specialists (including neurosurgeons, neurologists, trauma physicians, geriatricians, thrombosis and emergency physicians) who determined that symptoms from intracranial bleeding might develop as late as 6 weeks after a fall. ‘Clinically important intracranial bleeding’ is defined as bleeding within the cranial vault (including subdural, intracerebral, intraventricular, subarachnoid, epidural blood and cerebral contusion), which requires medical or surgical treatment. Medical treatment is defined as any of the following: temporary or permanent discontinuation of anticoagulant or antiplatelet medication; administration of an antifibrinolytic drug; reversal of anticoagulation; or admission to hospital for neurological observation. Clinically important intracranial bleeding will be determined by independent adjudication of CT scans of the head by the centralised outcome adjudication committee consisting of a study neurologist, neurosurgeon, trauma surgeon and radiologist. The adjudicators will be blinded to all ED baseline data. Each scan will be adjudicated independently by two reviewers. In the case of a disagreement, a third adjudicator, blinded to the prior reviews, will determine the classification. Agreement between the adjudicators will be reported. Secondary outcomes relate to the ‘severity’ of the intracranial bleeding: (1) neurosurgical intervention; (2) intensive care admission; (3) hospital length of stay; (4) in-hospital death as determined by medical record review.

We found poor sensitivity (37%, 95% CI: 21% to 56%) for patient-reported diagnosis of intracranial bleeding.27 Furthermore, our experience of personal follow-up in this population28 is that it is frequently not feasible because of residence in nursing homes or baseline cognitive impairment. Therefore, the current study follow-up is restricted to systematic medical record review with independent validation and enrolment is restricted to patients who reside within the hospital catchment area.

Predictor variables

Demographic and predictor variables are collected in two ways: (1) the treating physician completes a standardised data collection form at the time of initial patient assessment, and before the results of the CT of the head are available (therefore blinded to outcome); (2) data are collected by trained on-site research assistants using standardised medical record review protocols, following detailed data definitions and instructions for systematic medical record review. We follow standardised validation procedures for all medical record review data points: deidentified source documentation is uploaded for validation by the coordinating centre. A query is sent to the site research assistant to resolve each discrepancy. The study site investigator resolves discrepancies which persist after research assistant review. Table 1 details the demographic and predictor variables collected.

Table 1

Description of collected demographic and predictor variables

We initially identified potential predictor variables by a systematic review of prior evidence. We then assessed the frequency among our population and the association between predictor and intracranial bleeding in a study of 1753 older ED patients who had fallen.28 We selected 17 candidate predictor variables, which are considered to be biologically plausible and related to the outcome of intracranial bleeding, and are routinely collected in the ED: age; sex; head injury; loss of consciousness; amnesia; history of previous major bleed (International Society of Thrombosis and Haemostasis criteria)29; cirrhosis; prior ischaemic stroke; chronic renal impairment; GCS reduced from baseline; bruise or laceration on the head; abnormal neurological examination; haemoglobin, platelet count; anticoagulant therapy; antiplatelet therapy; and Clinical Frailty Score.30

Analysis

Variables with large amounts of missing data will be excluded from the models as they would be missing in clinical practice. Likewise, continuous variables whose distributions are too narrow will also be excluded. We will perform binary recursive partitioning using Classification and Regression Trees to develop a decision rule. A clinical decision rule for a life-threatening event such as intracranial bleeding requires very high sensitivity. The model with a sensitivity of >99% and the highest specificity will be selected. We will assess the derived decision rule by comparing the classification of each patient with his or her actual status for the primary outcomes. In addition, 1000 bootstrap iterations will be performed to assess the internal classification performance and overfitting of the selected decision rule.

We will also develop a predictive risk model using multivariable logistic regression. Continuous variables may be transformed and will be fit using restricted cubic splines to relax the linearity assumption. First, a full model with all variables will be fit. To further reduce the model, we will perform backward elimination without model refitting with p<0.5, which has shown to have valid inference.31 32 Clinically and biologically plausible interactions will be tested within the model. Internal validation to obtain unbiased and optimism corrected estimation of model performance will be done using 1000 bootstrap samples. Model discrimination will be reported using the C-statistic and a calibration plot of observed versus predicted probabilities.

Sample size

The current guidelines suggest that we would require at least 10 events per included variable.33 34 We expect that 5% of patients will be diagnosed with clinically important intracranial bleeding,20 and we assume that our initial model will consist of 17 candidate variables. Based on this assumption, a sample size of 4000 should include 200 cases of intracranial bleeding (12 events per variable).

Sources of bias

Intracranial bleeding will be adjudicated blind to all baseline and predictor data. Predictor data are collected before the primary outcome data are collected. However, it is possible that we do not identify every case of intracranial bleeding during the 42-day follow-up period. In our prior study, only 60% of patients had a CT of the head during the index ED visit and 6/738 participants without a CT of the head (0.8%) were subsequently diagnosed with intracranial bleeding within 42 days.28 In comparison, 6/939 (0.6%) with a negative CT of the head were diagnosed with intracranial bleeding within 42 days, suggesting emergency physicians may correctly identify lower risk patients who do not require a scan. However, this evidence is indirect and hypothesis-generating only. Given that not all participants in this study will have a CT scan of the head at baseline, we may underdiagnose intracranial bleeding in this subpopulation which will comprise around 40% of the cohort. Although patients are advised to return if they develop neurological symptoms, it is possible that a patient may die of an intracranial bleed or else fully recover without testing for intracranial bleeding. Furthermore, 42-day follow-up involves institutional electronic medical record review. If a patient attended an unrelated hospital during follow-up and was diagnosed with an intracranial bleed, we might miss this diagnosis. To reduce the chance of this happening, we are restricting study enrolment to patients who reside within the hospital catchment area and most sites have access to records from regional neurosurgical centres. In our prior study where we performed in-person follow-up, no patient was diagnosed with an intracranial bleed at another hospital. The imperfect reference standard bias introduced with differential testing depending on the emergency physician CT request, might inflate the strength of association between predictor variables which are commonly used to determine the need for CT of the head in this population (such as a history of loss of consciousness and anticoagulation use).

Study oversight

The coordinating centre is McMaster University. Electronic data and deidentified source documents are uploaded to a Research Electronic Data Capture database35 36 and stored on a secure server at McMaster University. The coordinating centre validates all data and supervises the adjudication committee activities. The study steering committee consists of the site investigators.

Ethics and dissemination

The study was approved by the Hamilton Integrated Research Ethics Board, Ottawa Health Science Network Research Ethics Board, Mount Sinai Hospital Research Ethics Board, Comité d’éthique du CHU de Québec-Université Laval, Providence Health Care Research Ethics Board and the Institutional Review Board of St. Luke’s University Health Network. Research ethics approval has been obtained from each enrolling site local research ethics board. In our previous study on the same population,28 we obtained patient consent. An interim analysis showed a number of patients were confused (144/890, 16%) or died before a researcher could ask for their consent (39/890, 4%). Family were often not available in the ED. In all, we were unable to obtain consent from 204/890 (23%) patients. To address this problem, we obtained research ethics board approval to include patients who were unable to give informed consent. It is essential we include patients who cannot consent, since they are often the most frail patients who are challenging to evaluate in the ED and frequently excluded from studies. Excluding these patients could limit the generalizability of our clinical decision rule. The current study has research ethics approval at all sites to include patients without obtaining informed consent.

The study results will be submitted for publication in a peer-reviewed journal and presented at national and international emergency medicine meetings.

Ethics statements

References

Footnotes

  • Twitter @kerstindewit, @DavidBarbic

  • Deceased Deceased 3rd June 2020

  • Contributors The study was conceived by KdW, MM, CK, SP and AW. The protocol was designed with input from all authors (KdW, MM, CK, SP, AW, NC, EM, ME, IS, DE, DB, RJ, JM, CV, SM, AP, YK, AS, SS and PE) has been endorsed by the Network of Canadian Emergency Researchers. The study is being conducted by KdW, NC, EM, CV, DE, DB, RJ and JM. YK, AS, SS and PE are the study adjudicators. SP will oversee the analysis.

  • Funding This work was supported by the Canadian Institute of Health Research grant number PJT-159545.

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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