| | Risk of Thromboembolism Varies, Depending on Category of Immobility in OutpatientsReceived 14 July 2008; received in revised form 1 October 2008 and 15 October 2008; accepted 31 October 2008. published online 09 January 2009.
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Moving Beyond Immobilization
, 23 February 2009
David L. Schriger
Annals of Emergency Medicine
August 2009 (Vol. 54, Issue 2, Pages 153-154)
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Study objectiveImmobility predisposes to venous thromboembolism, but this risk may vary, depending on the underlying cause of immobility. MethodsThis was a prospective, longitudinal outcome study of self-presenting emergency department (ED) patients who were from 12 hospitals and had suspected venous thromboembolism. Using explicit written criteria, clinicians recorded clinical features of each patient in the ED by using a Web-based data form. The form required one of 6 types of immobility: no immobility, general or whole-body immobility greater than 48 hours, limb (orthopedic) immobility, travel greater than 8 hours causing immobility within the previous 7 days, neurologic paralysis, or other immobility not listed above. Patients were followed for 45 days for outcome of venous thromboembolism, which required positive imaging results and clinical plan to treat. Odds ratios (ORs) were derived from logistic regression including 12 covariates. ResultsFrom 7,940 patients enrolled, 545 of 7,940 (6.9%) were diagnosed with venous thromboembolism (354 pulmonary embolism, 72 deep venous thrombosis, 119 pulmonary embolism and deep venous thrombosis). Risk of venous thromboembolism varied, depending on immobility type: limb (OR=2.24; 95% confidence interval [CI] 1.40 to 3.60), general (OR=1.76; 95% CI 1.26 to 2.44), other (OR=1.97; 95% CI 1.25 to 3.09), neurologic (OR=2.23; 95% CI 1.01 to 4.92), and travel (OR=1.19; 95% CI 0.85 to 1.67). Other significant risk factors from multivariate analysis included age greater than 50 years (OR =1.5; 95% CI 1.25 to 1.82), unilateral leg swelling (OR=2.68; 95% CI 2.13 to 3.37), previous venous thromboembolism (OR=2.99; 95% CI 2.41 to 3.71), active malignancy (OR=2.23; 95% CI 1.69 to 2.95), and recent surgery (OR=2.12; 95% CI 1.61 to 2.81). ConclusionIn a large cohort of symptomatic ED patients, risk of venous thromboembolism was substantially increased by presence of limb, whole-body, or neurologic immobility but not by travel greater than 8 hours. These data show the importance of clarifying the cause of immobility in risk assessment of venous thromboembolism. SEE EDITORIAL, P. 153. Introduction  Immobility can cause stasis to venous blood flow and thus predispose to the development of venous thromboembolism.1 The categorical presence of immobility increases the probability a symptomatic patient will have venous thromboembolism.2 However, in practice, defining immobility presents a challenge inasmuch as immobility can occur in many forms and degrees of severity. For example, emergency department (ED) patients often have had recent bed confinement as a result of acute or chronic illnesses, dementia, or massive obesity. Traumatic injury, surgery, and orthopedic interventions usually result in some degree of body or limb immobility. Healthy patients experience immobility during long-distance travel for work or vacation. It could be reasonably conjectured that these different types of immobility confer differing degrees of risk of venous thromboembolism. Editor's Capsule SummaryWhat is already known on this topic Immobility is considered a risk factor for deep venous thrombosis and pulmonary embolism, but the relative importance of different forms of immobility is unknown. What question this study addressed This prospective multicenter study of 7,940 patients undergoing evaluation for pulmonary embolism examined to what extent 5 types of immobility were associated with the presence of venous thrombosis or pulmonary embolism. What this study adds to our knowledge The odds ratios for limb, neurologic, general, and “other” immobility were near 2. For immobility caused by travel, it was 1.2. How this might change clinical practice This article will not change practice but raises some interesting questions about immobility as a risk factor for thromboembolic disease. Previous research has examined immobility as a whole unit, without considering the importance of different causes. To our knowledge, no precedent literature has directly measured and compared the magnitude of risk of venous thromboembolism stratified by the cause of immobility in a symptomatic ambulatory population. We hypothesized that different causes of immobility would confer different degrees of risk for the outcome of venous thromboembolism in a large cohort of symptomatic ED patients who were evaluated for clinically suspected pulmonary embolism. Our overall purpose is to evaluate the overall risk of immobility in patients presenting to the ED who are evaluated for pulmonary embolism. Materials and Methods  This was a prospective, noninterventional, multicenter study of patients presenting to the ED in 12 hospitals in the United States. The study protocol was approved by the institutional review boards for the conduct of research on humans and the privacy boards of all 12 hospitals. Patients were enrolled from July 1, 2003, until November 30, 2006, as previously described.3 Briefly, patients were enrolled either consecutively, requiring greater than 85% capture, or during randomly selected shifts. At one site, a convenience sample used a paper instrument (n=150) as previously published to test for interobserver variability.4 Eligibility for enrollment required an order for an objective diagnostic test for pulmonary embolism, written by or under the supervision of a board-certified emergency physician. The decision to order this test was based on information obtained from the initial history and physical examination and medical records immediately available in the ED. Pulmonary vascular imaging study (computed tomographic [CT] angiography, pulmonary angiography, or scintillation ventilation-perfusion lung scanning) or a D-dimer assay order was considered an acceptable criterion to evaluate for possible pulmonary embolism. Diagnostic testing ordered solely to evaluate for suspected deep venous thrombosis did not trigger enrollment, but patients who had previous positive Doppler results for deep venous thrombosis could be included in enrollment. Exclusions were (1) clinician knowledge of a diagnostic positive pulmonary vascular imaging study result performed within the previous 7 days; (2) the patient unable or unwilling to indicate with certainty that he or she would return to the same hospital for reevaluation in event of persistent problems; and (3) a circumstance that suggested a high probability that patient would be lost to follow-up. Data were entered into a Web-based, 128-key bit encrypted, electronic data collection form that encoded 74 data fields. A full description of the content, appearance, and methodology for this data collection system has been published.5 Data were entered while the patient was in the ED, using the information and beliefs of the clinicians who had ordered the diagnostic test that triggered enrollment. All fields had explicit, written definitions, which were visible in cursor-activated hover boxes. The immobility pull-down box coded for 6 mutually exclusive possibilities. These are listed below in the order shown on the screen, and the exact definitions that were visible to the user from the hover boxes are provided in quotations5: 1.No immobility: “Absence of pathological restriction to movement of the body or any limb” 2.Generalized: “Total body immobility, including bed-bound patients or patients who do not walk for periods exceeding forty-eight (48) hours” 3.Limb: “Cast or external fixator that immobilizes 2 or more contiguous joints” 4.Travel: “Generalized immobility lasting more than 8 continuous hours due to travel in the past 7 days” 5.Neurologic: “Paralysis or paresis from brain, spinal cord, or neuromuscular disease or injury” 6.Other: “Pertains to individuals who have limited mobility from issues not listed above” The enrollment procedure specified that the Web-based electronic form had to be completed before the results of testing were known and required the clinician to input his or her knowledge of any test results pertinent to diagnosis of venous thromboembolism at the time the form was populated. The server side-code would not allow the form to be uploaded with missing data. Using a combination of telephone follow-up, chart review, and death records, we recorded patient outcomes at 45 days.3 Outcomes were recorded on a second, more extensive, Web-based follow-up form that encoded 143 data fields based on scripted telephone interviews and were supplemented by review of each patient's medical record using previously described methods.6 We tested interobserver reliability for the overall designation of immobility in a convenience sample of 150 patients at Carolinas Medical Center. For this measurement, a clinician of equal training level to the clinician who populated the Web-based data collection instrument reapproached these 150 patient-participants to repeat the process of asking and documenting the bivariate designation of immobility as either present or absent. This repeated result was recorded on a paper form. The second clinician had to check a box to verify that he or she was not aware of the beliefs of the first clinician about immobile status. A study associate collected these forms on a regular basis and recorded their results. The criterion standard outcome of venous thromboembolism included was established by an adjudication process requiring independent agreement of 2 physicians who were blinded to immobility status but were given all imaging results, treatment plans, death certificates, autopsy reports, and results of telephone follow-up.6 Adjudicators used explicit criteria to determine venous thromboembolism positive (+) outcome, which required image-proven pulmonary embolism or deep venous thrombosis, together with written evidence of intention to treat or actual administration of systemic anticoagulation for greater than 89 days or insertion of vena caval filter in patients with a contraindication to anticoagulation. Diagnosis of pulmonary embolism required either a high-probability ventilation-perfusion scan or CT angiogram or conventional pulmonary angiogram that demonstrated a pulmonary arterial filling defect interpreted as positive for acute pulmonary embolism within 45 days. Diagnosis of deep venous thrombosis required extremity venous duplex Doppler-ultrasonography or CT venography result interpreted as positive for acute venous thrombosis in the popliteal, femoral, or axillary (but not calf) veins within 45 days, with intention to treat. All imaging results were from the final interpretations signed by a board-certified radiologist. Additionally, pulmonary embolism or deep venous thrombosis from autopsy within 45 days was considered definitive. Primary Data Analysis The study objective was to compare the strength of association between each category of immobility and the outcome of venous thromboembolism+ within 45 days. This was accomplished with univariate and multivariate analyses. Univariate analysis consisted of relative risk ratios with associated 95% confidence intervals (CIs). Odds ratio using multivariate analysis used a logit equation containing venous thromboembolism+ as the dependent variable, and the 5 categories of immobility were entered as independent variables, together with sex and 6 other independent variables that are known to be risk factors for venous thromboembolism in outpatients: age greater than 50 years, unilateral leg swelling suggestive of deep venous thrombosis, metastatic or active cancer, surgery in the past 4 weeks, trauma in the past 4 weeks, and personal history of venous thromboembolism.2, 7, 8, 9 Interobserver variability testing was tested with Cohen's κ. Statistical analyses were performed with Stata version 10.0 (StataCorp, College Station, TX). Results  The study cohort included 7,940 patients with the clinical characteristics shown in Table 1. Five hundred forty-five patients were venous thromboembolism+, representing 6.9% (545/7,940) of the cohort. Of the 545 venous thromboembolism+ patients, 354 were diagnosed with pulmonary embolism only, 72 had isolated deep venous thrombosis, and 119 had pulmonary embolism and deep venous thrombosis. | | |  | Feature | Mean or n | (SD) or % |  |
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 | Demographic data | | |  |  | Age, y | 49 | (17) |  |  | Black | 2,704 | 34 |  |  | White | 4,541 | 57 |  |  | Latino or Hispanic⁎ | 482 | 6 |  |  | Asian | 74 | 1 |  |  | Other race | 131 | 2 |  |  | Female sex | 5,328 | 67 |  |  | Symptoms | | |  |  | Pleuritic chest pain† | 3,660 | 46 |  |  | Substernal chest pain | 2,909 | 37 |  |  | Dyspnea | 4,260 | 54 |  |  | Syncope | 479 | 6 |  |  | Cough | 2,324 | 29 |  |  | Hemoptysis | 227 | 3 |  |  | Risk factors for venous thromboembolism | | |  |  | Active malignancy‡ | 489 | 6 |  |  | Immobility | 1,394 | 18 |  |  | Recent surgery§ | 520 | 7 |  |  | Prior pulmonary embolism or deep venous thrombosis | 858 | 11 |  |  | Physical findings | | |  |  | Highest pulse rate, beats/min | 92 | (21) |  |  | Highest respiratory rate, breaths/min | 20 | (5) |  |  | Lowest systolic blood pressure, mm Hg | 131 | (24) |  |  | Lowest room air pulse oximetry, % | 97 | (4) |  |  | Temperature, °C | 37 (99.6°F) | (1) |  |  | Body mass index, kg/m2 | 29 | (8) |  |  | Wheezing | 822 | 10 |  |  | Unilateral leg swelling | 710 | 9 |  | | | |
| ⁎ Recorded as a race. †Nonsubsternal and worse with breathing or cough. ‡Currently active cancer or metastatic cancer. §Surgery or trauma within 4 weeks and requiring endotracheal intubation. |
Clinicians classified 1,394 of 7,940, or 18% of the cohort, as having at least 1 of the categories of immobility, leaving 6,546 with no immobility. Interobserver reliability data from the convenience sample of 150 patients at one center demonstrated moderate agreement for the designation of the presence or absence of immobility, as evidenced by overall raw agreement of 85%, with κ=0.48 (95% CI 0.32 to 0.68). Table 2 shows a breakdown of each classification of immobility according to outcome of venous thromboembolism+ or venous thromboembolism-. The most frequently observed category of immobility was travel, accounting for 631 of 1,394 patients, or 45% of all patients coded as having immobility. | | |  | Category | VTE (+) | VTE (−) | % | PE (+) | % | DVT (+) | % | PE(+), DVT(+) | % |  |
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 | No immobility | 386 | 6,157 | 6 | 258 | 4 | 49 | 1 | 79 | 1 |  |  | General | 56 | 323 | 14 | 31 | 8 | 9 | 2 | 16 | 4 |  |  | Limb | 27 | 122 | 17 | 17 | 11 | 3 | 2 | 7 | 5 |  |  | Travel | 42 | 589 | 6 | 29 | 5 | 3 | 0 | 10 | 2 |  |  | Neurologic | 8 | 45 | 13 | 6 | 11 | 0 | 0 | 2 | 4 |  |  | Other | 26 | 156 | 13 | 13 | 7 | 8 | 4 | 5 | 3 |  | | | |
The relative risk ratios for each category of immobility are presented in Table 3. Four categories of immobility demonstrated relative risk ratios with associated 95% CIs above unity: limb, general, neurologic, and other. Travel had the lowest relative risk of all 6 categories (relative risk 1.13 [95% CI 0.83 to 1.54]). Risk ratios in Table 3 were computed as the incidence of venous thromboembolism in the patients in each category of immobility divided by the incidence of venous thromboembolism in the 6,546 patients without immobility. Results of multivariate logistic regression analysis are presented in Table 4. For the immobility variables, the odds ratios mirrored the results of univariate analysis. Limb and other immobility were most strongly associated with the outcome of venous thromboembolism+ (OR 2.25 [95% CI 1.40 to 3.60]; OR 1.97 [95% CI 1.25 to 3.09] respectively), followed by general immobility (OR 1.76 [95% CI 1.27 to 2.44]). Neurologic immobility had borderline significance (OR 2.23; 95% CI 1.01 to 4.92). Travel demonstrated no evidence of significant association with the outcome of venous thromboembolism+ (OR 1.19 [95% CI 0.85 to 1.67]). The absence of any immobility was associated with significantly lower odds of the outcome of venous thromboembolism+ within 45 days. | | |  | Feature | OR | 95% CI |  |
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 | Age >50 y | 1.50 | 1.25–1.82 |  |  | Female sex | 0.62 | 0.51–0.74 |  |  | Unilateral leg swelling | 2.68 | 2.13–3.37 |  |  | Metastatic or active cancer | 2.24 | 1.69–2.95 |  |  | Surgery within 4 weeks | 2.12 | 1.61–2.81 |  |  | Trauma in previous 4 weeks | 0.78 | 0.37–1.62 |  |  | Personal history of VTE | 3.00 | 2.41–3.71 |  |  | Body mass index >40 kg/m2 | 1.13 | 0.85–1.49 |  |  | Travel | 1.19 | 0.85–1.67 |  |  | Neurologic | 2.23 | 1.01–4.92 |  |  | Limb | 2.25 | 1.40–3.60 |  |  | Other | 1.97 | 1.25–3.09 |  |  | General | 1.76 | 1.27–2.44 |  | | | |
Limitations  Limitations of this study include the fact the population was preselected according to a clinical presentation that prompted an emergency physician to initiate a formal evaluation for pulmonary embolism. Thus, we can make no inference about the risk of immobility for the outcome of venous thromboembolism for ED patients who did not elicit an evaluation for pulmonary embolism. Patients who had a known deep venous thrombosis but for whom the physician believed an investigation was not warranted for pulmonary embolism were not included in the data set. Our data do not exclude the possibility of increased risk of venous thromboembolism conferred by longer or more constraining types of travel such as long-haul flights lasting greater than 12 hours. Additionally, although it is our belief that our follow-up procedure correctly codified all patients who had diagnosed venous thromboembolism within 45 days, it remains possible that additional patients had pulmonary embolism or deep venous thrombosis that was not diagnosed. Areas of uncertainty include the preponderance of women in the cohort. This was a relatively uniform phenomenon, observed at 10 of 12 of the enrolling sites. Additionally, further research will be required to parse the significance of the “other” classification. This category represents a black box; it might reflect the product of gestalt reasoning or it could have been a catch-all category that included morbidly obese and very frail patients. Discussion  In this large, multicenter sample of symptomatic ED patients who underwent clinical evaluation for suspected pulmonary embolism, we found that different categories of immobility conferred variable risk for the outcome of venous thromboembolism at 45 days' follow-up. Patients who had generalized and limb immobility had significantly increased risk for venous thromboembolism that remained significant in univariate and multivariate analysis. Conversely, the absence of immobility significantly reduced the probability of venous thromboembolism within 45 days. We believe the finding that exposure to travel conferred only a minor significant increase in risk of venous thromboembolism+ and represents an important and potentially controversial observation. To our knowledge, this study represents the first prospective study to examine the significance of these categories of immobility as risk factors for venous thromboembolism in the ED setting. These data provide evidence that clinicians should consider immobility as a heterogeneous entity that should be parsed according to its root cause. For example, our data support the notion that clinicians are not obligated to consider every traveler who presents to the ED with symptoms suggestive of pulmonary embolism as high risk without other concrete variables that would be indicative of pulmonary embolism. In the data entry form, any type of travel modality was allowable as long as the criterion of greater than 8 hours causing prolonged immobility in the previous 7 days was met. The transporting vehicle (eg, automobile, train, long-haul truck, or airplane) was not recorded, and not known was the percentage of air travel to other modalities. To our knowledge, all previous evidence showing increase risk of venous thromboembolism to travel has been derived from travelers in airplanes,7 as opposed to travel in land-based vehicles. Although many experts would assert a risk exists between venous thromboembolism and air travel, we would point out that no study has yet specifically examined the risk of venous thromboembolism conferred by air travel in a large symptomatic cohort. Unfortunately, the present study does not allow a specific inference about the risk of transcontinental air travel, nor can a comparison of air travel versus land travel be made. Moreover, the exact mechanism(s) of venous thromboembolism risk from air travel remain uncertain and could include other influences, including barometric pressure changes and dehydration.8, 9 Because different modalities of travel were not distinguished, if there had been an overwhelming bias of air travel venous thromboembolism compared with other modalities, it would not have been elucidated in this study. Further investigation will be necessary to confirm whether air travel specifically represents a risk factor for the outcome of venous thromboembolism in symptomatic ED patients. Methodological strengths of this study include efforts to reduce sampling bias that can accompany convenience sampling. Patients were obtained from urban, rural, academic, and community practice settings, resulting in a data set mimicking the US population in terms of race and ethnicity. Explicit, written definitions of the categories of immobility were used. Our data collection system ensured that data were collected in real time in the ED and that data collection forms contained no missing or nonsense data. In conclusion, data from a large cohort of symptomatic ED patients found that 3 categories of immobility, limb, neurologic, and whole-body immobility, significantly increased risk of venous thromboembolism, whereas travel greater than 8 hours did not confer increased risk of venous thromboembolism. These data show the importance of clarifying the cause of immobility in risk assessment of venous thromboembolism. References  1. 1Dalen JE. Pulmonary embolism: what have we learned since Virchow? (Natural history, pathophysiology, and diagnosis). Chest. 2002;122:1440–1456. MEDLINE |
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a Brody School of Medicine at East Carolina University, Greenville, NC b Carolinas Medical Center, Charlotte, NC c Northwestern Memorial Hospital, Chicago, IL d Massachusetts General Hospital, Boston, MA e Yale University School of Medicine, New Haven, CT f Mayo Clinic, Scottsdale, AZ Address for reprints: Jeffrey A. Kline, MD, Emergency Medicine Research, Department of Emergency Medicine, Carolinas Medical Center, PO Box 32861, Charlotte, NC 28323-2861; 704-355-7092, fax 704-355-7047
Supervising editor: David L. Schriger, MD, MPH Author contributions: DMB collected and analyzed data and wrote the first draft of the article. DMC performed the statistical and graphic analyses and edited the article. CK, CLM, and PBR helped develop this idea, participated in study definitions, performed data entry, and assisted with article production. CK, CLM, PBR, and JAK enrolled patients and performed database queries. JAK conceived the work, obtained funding, contributed to the primary analyses, and edited the article. JAK takes responsibility for the paper as a whole. Funding and support: By Annals policy, all authors are required to disclose any and all commercial, financial, and other relationships in any way related to the subject of this article that might create any potential conflict of interest. See the Manuscript Submission Agreement in this issue for examples of specific conflicts covered by this statement. Supported by a Resident Research Award from the Emergency Medicine Foundation. Publication date: Available online January 7, 2009. PII: S0196-0644(08)01975-6 doi:10.1016/j.annemergmed.2008.10.033 © 2008 Published by Elsevier Inc. | |
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