(Circulation. 2009;119:2196-2201.)
© 2009 American Heart Association, Inc.
Preventive Cardiology |
From the Cardiovascular Division, Department of Medicine (G.P., E.J.R., S.Z.G.), and Information Systems/Clinical Informatics Research and Development (M.D.P.), Brigham and Womens Hospital, Harvard Medical School, Boston, Mass; Department of Internal Medicine, The Washington Hospital, Washington, Pa (W.P.); Department of Medicine, North Shore Medical Center, Salem, Mass, and Harvard Medical School, Boston, Mass (J.O.J.); Department of Internal Medicine, University of Utah Health Sciences, Salt Lake City (R.C.P.); Department of Medicine, Intermountain Medical Center, Murray, Utah, and University of Utah School of Medicine, Salt Lake City (C.G.E., S.M.S.); Department of Veterans Affairs Long Beach Healthcare System, Long Beach, Calif, and Division of Hematology/Oncology, Department of Medicine, University of California, Irvine (G.D.M.); Department of Internal Medicine, St Joseph Mercy Health System, Ann Arbor, Mich (W.F.P.); Division of Pulmonary, Critical Care and Environmental Medicine, Department of Internal Medicine, University of Missouri–Columbia (O.D.); and Harvard Clinical Research Institute, Harvard University, Boston, Mass (E.C., Z.L.).
Correspondence to Gregory Piazza, MD, Cardiovascular Division, Brigham and Womens Hospital, 75 Francis St, Boston, MA 02115. E-mail gpiazza{at}partners.org
Received December 5, 2008; accepted February 17, 2009.
| Abstract |
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Methods and Results— We enrolled patients using a validated point score system to detect hospitalized patients at high risk for symptomatic VTE who were not receiving prophylaxis. We randomized 2493 patients (82% on Medical Services) from 25 study sites to the intervention group (n=1238), in which the responsible physician was alerted by another hospital staff member, or the control group (n=1255), in which no alert was issued. The primary end point was symptomatic, objectively confirmed VTE within 90 days. Patients whose physicians were alerted were more than twice as likely to receive VTE prophylaxis as control subjects (46.0% versus 20.6%; P<0.0001). The symptomatic VTE rate was lower in the intervention group (2.7% versus 3.4%; hazard ratio, 0.79; 95% CI, 0.50 to 1.25), but the difference did not achieve statistical significance. The rate of major bleeding at 30 days in the alert group was similar to that in the control group (2.1% versus 2.3%; P=0.68).
Conclusions— A strategy of direct notification of the physician by a staff member increases prophylaxis use and leads to a reduction in the rate of symptomatic VTE in hospitalized patients. However, VTE prophylaxis continues to be underused even after physician notification, especially among Medical Service patients.
Key Words: prevention prevention and control pulmonary embolism venous thromboembolism venous thrombosis
| Introduction |
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Clinical Perspective p 2201
We designed the current multicenter randomized trial with an eye toward applying the alert strategy to a broad array of hospitals across the United States. As we organized participating centers, we learned that replication of our electronic alerting system was not feasible for many hospitals because it requires an electronic medical record, sophisticated information technology infrastructure, and considerable financial resources. Therefore, we crafted a strategy that used a human rather than an electronic alerting system. The physician alert consists of a direct page from a hospital staff member to the attending physician. The primary end point is a reduction in symptomatic VTE within 90 days of randomization.
| Methods |
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Identification of Patients at Risk for VTE
Patients who were admitted overnight were screened for VTE risk by research nurses, pharmacists, physicians, or other professional staff. Our previously established scoring system was used to identify patients at increased risk for VTE.1 Each risk factor was weighted according to a point scale. Major risk factors of cancer, prior VTE, and hypercoagulability were assigned 3 points each; an intermediate risk factor of major surgery was assigned a score of 2 points; and minor risk factors of advanced age, obesity, bedrest, and use of hormone replacement therapy or oral contraceptives were assigned 1 point each. An increased risk of VTE was defined as a cumulative risk score of at least 4 points.1
At each study site, designated screeners used current lists of inpatient diagnoses to identify patients with the following types of cancer: cervical, ovarian, uterine, prostate, esophageal, gastric, colorectal, pancreatic, liver, lung, renal, thyroid, brain, head and neck, sarcoma, and melanoma. In addition, admitting diagnoses were screened to identify cancer coded according to the International Classification of Diseases, 9th revision (ICD-9), as codes 149.0 to 172.99 and 174.0 to 209.99. Inpatient and outpatient medical records were reviewed to identify patients with a previous history of DVT, PE, or VTE, as indicated by ICD-9 codes 415.1, 415.19, 453.9, and 671.31 to 671.50.
Hypercoagulable states were identified on the basis of available laboratory test results (not all patients were tested), including the presence of factor V Leiden mutation, prothrombin gene mutation, lupus anticoagulant, anticardiolipin antibodies, and deficiencies of protein C, protein S, and antithrombin III. Major surgery was defined as any surgical procedure lasting >60 minutes. Bedrest was defined as an active order for bedrest not related to surgery. Advanced age was defined as an age >70 years. If data on weight and height were available, body mass index (weight in kilograms divided by the square of height in meters) was calculated. Obesity was defined as a body mass index >29 kg/m2. If weight and height were unavailable, inpatient and outpatient records were screened for a diagnosis of obesity and for the ICD-9 code for obesity (278.0). Ongoing use of hormone replacement therapy or oral contraceptives was identified by reviewing patients active medications.
Screening for VTE Prophylaxis
If the cumulative VTE risk score was at least 4 points, the patient was defined as being at high risk for developing VTE, and the screener reviewed orders to identify the ongoing use of any pharmacological or mechanical prophylaxis. Active medication orders were screened for pharmacological prophylaxis, including unfractionated heparin, enoxaparin, dalteparin, tinzaparin, fondaparinux, and warfarin. Orders also were searched for mechanical prophylactic measures, including the use of graduated compression stockings or intermittent pneumatic compression devices. Patients with orders for VTE prophylaxis were excluded. However, control patients could receive VTE prophylaxis in the 2 days between randomization and our in-hospital follow-up.
Randomization and Physician Alerts
Randomization envelopes containing the statement "alert" (intervention group) or "no alert" (control group) were provided by the Harvard Clinical Research Institute to randomize eligible patients. Among 2493 eligible patients, 1238 were assigned to the intervention group, and 1255 were assigned to the control group. For patients randomized to the intervention group, the attending physician was paged and informed that his or her patient was at high risk for VTE, that the patient was not currently receiving VTE prophylaxis, and that VTE prophylaxis was recommended. A sample script was provided that read as follows: "Hello, this is [name of hospital staff member, title, and department]. I am calling to alert you that your patient, [patients name], is at high risk for DVT. This is based on a point scale of DVT risk factors and the absence of current prophylaxis orders." One study center that enrolled 178 patients violated the study protocol and paged house officers rather than the attending physicians. For patients in the control group, VTE prevention guidelines were available, but no specific communication regarding VTE risk or prophylaxis was issued.
Follow-Up
We conducted 90-day follow-up of all study patients by reviewing their medical records. Clinical events were identified through the use of data from the index hospitalization, subsequent hospitalizations, and office visits, including discharge summaries, healthcare providers notes, laboratory test results, vascular laboratory reports, nuclear medicine reports, and radiology reports. If patient outcomes could not be determined by medical record review alone, study representatives contacted the responsible primary care provider for necessary information. Investigational Review Board approval was obtained at each site before any contact with primary care providers. In addition, the Social Security Death Index was used to identify patients who died during the 90-day follow-up period. Overall, 2493 (100%) had follow-up data beyond the index hospitalization.
Data Collection
The primary end point was clinically diagnosed DVT or PE within 90 days of hospital discharge. For patients with >1 clinical event, only the first event was counted. Safety end points included total mortality and major bleeding events at 90 and 30 days, respectively. We defined major bleeding as intracranial, intraocular, retroperitoneal, or pericardial bleeding; bleeding that required surgical intervention; or clinically overt bleeding that resulted in a hemoglobin decrease of >3 g/dL.2
DVT was diagnosed if there was loss of compressibility on venous ultrasonography3 or evidence of a filling defect on conventional contrast venography. PE was diagnosed on the basis of findings on contrast-enhanced chest computed tomography,4 ventilation-perfusion lung scanning, or invasive pulmonary angiography. Events suspected clinically to be VTE related were not counted unless objective diagnostic imaging evidence was obtained. All end points were adjudicated by investigators who were unaware of the patients group assignments.
Statistical Analysis
We estimated a 4.1% rate for the primary end point in the intervention group and a 7% rate for the primary end point in the control group, with an odds ratio of 0.59. We estimated a sample size of
2150 patients for the study to have 80% power to detect a difference between the intervention and control group (2-sided
=5%). We aimed for a trial enrollment of
2500 patients to provide a "cushion" of about 350 patients for potential administrative problems such as improper randomization or withdrawal from the study.
We used Wilcoxon rank-sum tests to compare the distributions of continuous variables between groups and
2 tests or Fishers exact tests to compare categorical variables. Freedom from DVT or PE at day 90 for the intervention and control groups was estimated with the Kaplan–Meier method. SEs were estimated with Greenwoods formula. The comparison between the intervention and control groups was assessed by the log-rank test. We used the proportional-hazards model to estimate the relative hazard of clinical end points associated with the physician alert and obtained 95% CIs from this model. All reported probability values are 2 sided.
The authors had full access to and take responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.
| Results |
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5. Overall, 18% of patients had undergone major surgery, and 82% were hospitalized for nonsurgical indications. Almost 30% of patients had suffered prior VTE, and nearly 75% had a history of cancer.
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VTE Prophylaxis
Patients in the intervention group were more than twice as likely to receive VTE prophylaxis as those in the control group (46.0% versus 20.6%, respectively; 95% CI, 21.8 to 28.9; Table 2). The intervention group had a 3-times-higher rate of mechanical prophylaxis (20.8% versus 7.6%; 95% CI, 10.6 to 16.0) and a 2-times-higher rate of pharmacological prophylaxis (27.7% versus 14.1%; 95% CI, 10.5 to 16.8) than the control group. Urban sites were less likely to prescribe VTE prophylaxis after a physician alert than nonurban sites (43.3% versus 48.8%; P=0.02). There was no difference in VTE prophylaxis rates after a physician alert between academic and nonacademic sites.
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Study End Points
The primary end point of symptomatic DVT or PE at 90 days occurred in 32 patients in the intervention group (2.7%) compared with 41 patients in the control group (3.4%) (hazard ratio, 0.79; 95% CI, 0.50 to 1.25; Table 3). There was a nonsignificant trend toward a reduction in symptomatic proximal lower-extremity DVT among patients in the intervention group (0.3% versus 1.0%; hazard ratio, 0.34; 95% CI, 0.11 to 1.04). Kaplan–Meier estimates of the absence of symptomatic DVT or PE at 90 days were 97.1% (95% CI, 96.1 to 98.1) in the intervention group and 96.3% (95% CI, 95.1 to 97.5) in the control group (Figure 2). There was no significant difference in the rate of VTE at 90 days between the intervention group and the control group in clinically important subgroups, including patients with a risk score of >4, age
70 years, cancer, major surgery or trauma, and prior VTE.
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The overall rate of death at 90 days was similar between the intervention group and control group (Table 3). The rate of major bleeding at 30 days in the intervention group was similar to that in the control group (2.1% versus 2.3%; P=0.68).
| Discussion |
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In our prior trial of electronic alerts, the reduction in symptomatic VTE was 41% compared with 21% in the present study. This was surprising because the median age was 73 years in that study compared with 63 years in the electronic alert study. A history of VTE was present in 30% in this study compared with 20% in the electronic alert trial. The older patient population and higher rate of prior VTE should have provided the substrate for higher baseline VTE rates and for greater reductions in symptomatic DVT and PE than we observed. On the basis of the event rate in this trial, we would have needed to enroll
9000 patients to detect a significant difference (with 80% power) in symptomatic VTE between the 2 groups.
The most likely explanation for the smaller reduction in symptomatic VTE in this trial is the fundamental difference between the 2 trials: human versus computer alerts. We had thought that the personal touch of direct staff communication with the attending physician might be more effective than an impersonal computer-generated alert in raising awareness of a patients VTE risk, encouraging prophylaxis use, and reducing symptomatic VTE events. However, from our data, it is likely that a computer alerting system is inherently more effective. Computer-based systems can provide direct access to a wide range of decision-support tools, including evidence-based practice guidelines, that would not be possible through a human alerting system.5,6 A computer-based alerting system such as the one used in our previous trial may be more difficult to ignore because it forces the clinician to acknowledge the alert before the clinician can continue using the electronic medical record or order entry program.7 Finally, computer-based alerting systems aimed at improving VTE prophylaxis may maintain effectiveness over time better than a human alerting system.8 Nevertheless, we recognize that there were no direct comparisons between the 2 alerting modalities and that the settings of the 2 studies were different.
Although a smaller reduction in symptomatic VTE was noted with human alerts compared with computer alerts, VTE prophylaxis was ordered more often in the intervention group of the present trial (46%) compared with the intervention group of the prior study (33%). Although lower than expected, the reduction in symptomatic VTE may have reached significance if prophylaxis rates in the intervention group had been higher. For each 0.1% decrease in symptomatic VTE, the present study required a 4% increase in prophylaxis use. The trial would have achieved statistical significance if there had been an additional absolute decrease in symptomatic VTE of 0.6%, yielding a VTE rate of 2.1%. A prophylaxis rate of 74% rather than the observed 46% should have reduced the rate of symptomatic VTE to the target of 2.1%.
The decrease in the rate of symptomatic VTE in the control group of the present investigation may represent a possible time trend. There may be greater emphasis on early mobilization of hospitalized patients now compared with 5 years ago. At the conclusion of the previous electronic alert trial, we discontinued randomization and issued electronic alerts for all patients in a cohort of 866 patients who were at high risk for VTE and not receiving prophylaxis.9 The rate of symptomatic VTE within 90 days decreased to 5.1% in this follow-up cohort.9 In another study of hospitalized medical patients, the rate of clinically diagnosed DVT or PE within 90 days of hospital discharge was estimated to be as low as 1.6%.10
In the present trial, both the intervention and control groups had low rates of VTE prophylaxis, despite numerous studies demonstrating the safety and efficacy of pharmacological11–15 and mechanical16,17 modalities, as well as guidelines supporting the use of VTE prophylaxis in high-risk patients.18,19 Patients in the intervention group received VTE prophylaxis less than half of the time, whereas those in the control group were prescribed prophylactic measures less than a quarter of the time. These findings are consistent with multiple recent studies demonstrating the underuse of VTE prophylaxis as an international public health crisis.20–24
The majority of patients not receiving VTE prophylaxis and subsequently enrolled in the study (82%) were hospitalized medical patients. Similar to our previous trial, nearly 80% of these hospitalized medical patients had malignancy. Our observation of underuse of VTE prophylaxis is consistent with previous data regarding VTE prevention among hospitalized patients on the Medical Service.25 In addition, 40% of patients enrolled in the study were >75 years of age, and VTE is particularly problematic in hospitalized elderly patients.26
The education of healthcare providers about the risk of VTE in hospitalized medical patients is critical.27 Hospital grand rounds, continuing medical education courses, and risk management programs can increase VTE awareness among healthcare providers. Furthermore, VTE prevention in hospitalized patients is considered an important measure of healthcare quality.28,29 Underuse of VTE prophylaxis is a problem of such magnitude that organizations such as Medicare, the National Quality Forum, and the Joint Commission are focusing on a policy-based approach to VTE prevention. For example, the Centers for Medicare and Medicaid Services has announced that DVT and PE after total knee and hip replacement procedures are considered never events, and, effective October 1, 2008, hospitals are no longer being reimbursed for this surgical complication.30 Finally, patient advocacy groups such as the North American Thrombosis Forum (www.natfonline.org), National Alliance for Thrombosis and Thrombophilia (www.stoptheclot.org), and Coalition to Prevent DVT (www.preventdvt.org) increase public awareness and empower patients to participate in VTE prevention.
Our study may be limited by the possibility of diagnostic bias because the administration of prophylaxis was not blinded and testing for VTE was not routinely performed unless symptoms were present. It is possible that physicians were more likely to pursue diagnostic testing for VTE for patients with symptoms who had not received prophylaxis than for those who had received prophylaxis. In addition, diagnostic testing may not have been performed in symptomatic patients with a limited life expectancy or contraindications to anticoagulation, resulting in an underestimation of events. Because most physicians treated both intervention and control patients, it is possible that receiving a physician alert for patients in the intervention group also affected the use of prophylaxis in the control group. In both the previous study of electronic alerts and our present trial, we wanted to select a study population in which there would be 100% consensus that every selected patient should receive VTE prophylaxis. Therefore, we used a VTE risk score that would permit us to capture an unequivocally high-risk population (cumulative risk score of at least 4 points). We acknowledge that a subset of patients with lower cumulative VTE risk scores would also be considered appropriate for VTE prophylaxis in clinical practice.
Our data suggest that a strategy of manually screening patients for VTE risk and alerting healthcare providers about high-risk patients who are not receiving prophylactic measures increases prophylaxis use and trends toward a reduction of symptomatic VTE. However, a human alerting system does not appear to be as effective as a computer-based decision-support strategy. Increasing resources for computer-based decision-support strategies and medical informatics may enhance effectiveness of VTE prevention measures.
| Acknowledgments |
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This investigator-initiated study was funded in part by an unrestricted research grant from sanofi-aventis.
Disclosures
Dr Pendergast has received a research grant from and served on the advisory board for sanofi-aventis and served on the speakers bureau for sanofi-aventis, Pfizer, and Novartis. Dr McLaren has received research grants from sanofi-aventis and Bristol-Myers Squibb. Dr Patton has received honoraria from St Joseph Mercy Health System. Dr Dabbagh has received research grant from Bristol-Myers Squibb and Pfizer and honoraria from the Missouri Society of Respiratory Therapists. Dr Goldhaber has received research grants from and served on the advisory boards for sanofi-aventis, Eisai, and Boehringer Ingelheim and served on the advisory board for Bristol-Myers Squibb. The other authors report no conflicts.
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| Footnotes |
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The online Data Supplement is available with this article at http://circ.ahajournals.org/cgi/content/full/CIRCULATIONAHA.108.841197/DC1.
Guest editor for this article was William Hiatt, MD.
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