Background
Reported risk factors for venous thromboembolism (VTE) vary widely, and the magnitude and independence of each are uncertain.
Objectives
To identify independent risk factors for deep vein thrombosis and pulmonary embolism and to estimate the magnitude of risk for each.
Patients and Methods
We performed a population-based, nested, case-control study of 625 Olmsted County, Minnesota, patients with a first lifetime VTE diagnosed during the 15-year period from January 1, 1976, through December 31, 1990, and 625 Olmsted County patients without VTE. The 2 groups were matched on age, sex, calendar year, and medical record number.
Results
Independent risk factors for VTE included surgery (odds ratio [OR], 21.7; 95% confidence interval [CI], 9.4-49.9), trauma (OR, 12.7; 95% CI, 4.1-39.7), hospital or nursing home confinement (OR, 8.0; 95% CI, 4.5-14.2), malignant neoplasm with (OR, 6.5; 95% CI, 2.1-20.2) or without (OR, 4.1; 95% CI, 1.9-8.5) chemotherapy, central venous catheter or pacemaker (OR, 5.6; 95% CI, 1.6-19.6), superficial vein thrombosis (OR, 4.3; 95% CI, 1.8-10.6), and neurological disease with extremity paresis (OR, 3.0; 95% CI, 1.3-7.4). The risk associated with varicose veins diminished with age (for age 45 years: OR, 4.2; 95% CI, 1.6-11.3; for age 60 years: OR, 1.9; 95% CI, 1.0-3.6; for age 75 years: OR, 0.9; 95% CI, 0.6-1.4), while patients with liver disease had a reduced risk (OR, 0.1; 95% CI, 0.0-0.7).
Conclusion
Hospital or nursing home confinement, surgery, trauma, malignant neoplasm, chemotherapy, neurologic disease with paresis, central venous catheter or pacemaker, varicose veins, and superficial vein thrombosis are independent and important risk factors for VTE.
VENOUS thromboembolism (VTE) is a major national health problem, with at least 201 000 first lifetime cases reported each year in the United States.1 Of these, about 25% die within 7 days of VTE onset; for about 22% of all patients with VTE, death is so rapid, there is insufficient time for intervention.2 Thus, to improve survival, patients at risk must be identified and given appropriate prophylaxis in order to reduce the incidence of VTE. Despite improved prophylaxis regimens,3 however, the annual incidence of VTE has been relatively constant, at about 1 event per 1000 person-years since 1979.1 The failure to reduce this rate may be a result of uncertainty regarding risk factors for VTE and the associated difficulty in recognizing individuals at risk.
Reported risk factors vary widely, and the independence and magnitude of each are uncertain. Several study design issues may account for this variability. For example, studies that identified cases solely by autopsy4-6 or only included patients who were enrolled in clinical trials7,8 or of one sex9 may not have identified important risk factors, since the full clinical spectrum of disease was not represented. Moreover, previous prospective cohort studies were limited by the relatively low incidence of VTE and the correspondingly small sample sizes.6,9 Because these cohort studies were not designed to determine risk factors for VTE, the baseline characteristics available for analysis did not include all potential characteristics thought to place patients at risk. Finally, previous case-control studies either included an inappropriate control group7,8 or only addressed the risk among women receiving oral contraceptives10 or hormone replacement therapy.11-15
We have identified the inception cohort of Olmsted County, Minnesota, residents with a first lifetime deep vein thrombosis (DVT) or pulmonary embolism (PE) diagnosed during the 25-year period from 1966 through 1990.1 To address the limitations of previous studies, we performed a nested case-control study to identify independent risk factors for DVT and PE and to estimate the magnitude of risk associated with each.
Using the data resources of the Rochester Epidemiology Project,16 we identified the inception cohort of Olmsted County residents with a first lifetime DVT or PE during the 25-year period from 1966 through 1990 as previously described.1 We then performed a case-control study nested within the Olmsted County population. All Olmsted County residents with a first lifetime definite DVT or PE diagnosed during the 15-year period from January 1, 1976, through December 31, 1990, were included in the present study. The Rochester Epidemiology Project also provides an enumeration of the population from which controls can be sampled, as described elsewhere.16 Using this system, the Olmsted County resident matched for age (±1 year), calendar year (±1 year), and sex whose medical record number was closest to the medical record number of each patient with DVT or PE was selected as a control. The study was approved by the Mayo Clinic Institutional Review Board.
A DVT was categorized as definite when confirmed by venogram, computed tomographic scan, magnetic resonance image, or pathologic examination of thrombus removed at surgery or autopsy. A PE was categorized as definite when confirmed by pulmonary angiogram, computed tomographic scan, magnetic resonance image, or pathologic examination of thrombus removed at surgery or autopsy.
Mayo Clinic pathologists performed all autopsy examinations and completed the death certificates of persons who died within Olmsted County during the study period. Autopsy-discovered PE events were classified as a cause of death only if the pathologist labeled them as such in the autopsy report or if the death certificate listed PE as an immediate or underlying cause of death or included PE on part I of the death certificate. Autopsy-discovered PE events were classified as a "contributory cause of death" if PE was listed as a contributing cause or other significant condition on part II of the death certificate. Pulmonary embolism events that were first identified on autopsy examination but not specifically labeled as a cause of death in the autopsy report or listed on the death certificate were categorized as "noncausal for death."
A large number of baseline characteristics were tested as risk factors for VTE. Data were obtained by review of all medical records (inpatient and outpatient) in the community for each subject17; consequently, it was not possible to blind the nurse abstractors to case or control status. The overall mean duration of prior medical record documentation was 34.7 years (34.7 years for patients with DVT or PE and 34.7 years for controls). The characteristics assessed included type of incident event (PE, DVT, or both); age at incident event; sex; year of incident event; patient location at incident event onset (community, community but hospitalized in the previous 90 days, hospital, or nursing home); body mass index (BMI) (calculated as weight in kilograms divided by the square of height in meters: weight [kg]/[height (m)]2); chronic heart disease (congestive heart failure vs other heart disease [ie, congenital heart disease, cardiomyopathy, ischemic heart disease, or valvular heart disease]); active malignant neoplasm (excluding nonmelanoma skin cancer) with or without chemotherapy (cytotoxic or immunosuppressive therapy for malignant neoplasm, excluding tamoxifen); serious neurologic disease (stroke or other disease affecting the nervous system with associated extremity paresis, or acute stroke with extremity paresis requiring hospitalization within the previous 3 months); surgery requiring anesthesia (general, orthopedic, neurologic, or gynecologic surgery); trauma requiring hospital admission (major fracture or severe soft-tissue injury); chronic lung disease (chronic obstructive pulmonary disease, emphysema, chronic bronchitis, bronchiectasis, interstitial lung disease, pulmonary hypertension [asthma was included only if there was documented evidence of fixed airflow obstruction]); serious liver disease (including active hepatitis within the previous 3 months); chronic renal disease (physician's diagnosis and either creatinine level >175 µmol/L [2 mg/dL] for at least 3 months or nephrotic syndrome; arteriovenous fistula thrombosis excluded); inflammatory bowel disease; previous superficial vein thrombosis; varicose veins (varicose veins or treated varicose veins [injection sclerotherapy or stripping]); central venous catheter or transvenous pacemaker placement; anticoagulation therapy or prophylaxis immediately preceding or at the time of the incident event; smoking status (none, former, or current [cigarettes only]); and (for women only) pregnancy or postpartum at the time of the incident event, oral contraceptive use, hormone therapy (estrogen or progesterone), gynecologic surgery, and tamoxifen therapy. It was necessary that active malignant neoplasm, chemotherapy, serious neurologic disease (acute stroke or temporary lower-extremity paresis), all surgery variables, anesthesia, trauma, serious liver disease (active or chronic hepatitis only), hormone therapy, central vein catheterization, oral contraceptive use, and tamoxifen therapy be documented in the 3 months prior to the incident event. Congestive heart failure and other heart disease, serious neurologic disease (with unresolved lower-extremity paresis), chronic lung disease, serious liver disease (cirrhosis only), chronic renal disease, nephrotic syndrome, inflammatory bowel disease, previous superficial vein thrombosis, varicose veins, and permanent transvenous pacemaker placement could be documented any time prior to the incident event. Body mass index was based on the most recent height and weight measurements prior to the incident event.
Body mass index could not be calculated for 16 cases and 176 controls, mainly because of missing height measurements. For these cases and controls, we imputed BMI values by assigning to each the respective average height or weight of the same sex and 10-year age group of cases or controls. For the one child younger than 15 years with a missing measurement for height, we used the 50th height percentile from the 1976 National Center for Health Statistics growth chart. Because smoking status was missing in 88 case-control pairs, this variable was evaluated only after determination of the otherwise final model, including interactions, since only a subset of the cases could be used. In the subset of cases with complete smoking information, we verified that the final multivariate model variables did not have odds ratios differing from those computed using all cases. We then categorized those patients with missing smoking status as nonsmokers, reasoning that this would be the most conservative approach. Because pregnancy and the postpartum period, oral contraceptive use, hormone replacement therapy, tamoxifen therapy, and gynecologic surgery could only be evaluated in women, these variables were assessed after determining the otherwise final model, including interactions. In the univariate analyses, the surgery variables were important risk factors. In the multivariate modeling, however, the surgery variables were nonsignificant after adjusting for patient location at VTE onset, and it was not possible to address interactions of surgery and hospitalization. Therefore, we created a new variable with the following categories: community onset with no recent (within 90 days) institutionalization (confinement in hospital or nursing home), onset while institutionalized but without recent (within 90 days) surgery, and onset while institutionalized with recent surgery.
Baseline characteristics were assessed as potential risk factors for VTE using conditional logistic regression. We used stepwise and backwards conditional logistic regression to identify a "final model." P≤.05 was required to enter the model. The variables selected were validated using a bootstrap method18 in which 500 random samples of the case-control pairs were selected with replacement. A stepwise regression was run for each sample. Variables were considered validated and retained in the final model only if they entered more than 70% of the 500 logistic regression models. When the list of main effect variables was finalized, all 2-way interactions of the main variables in the model were validated using the bootstrap technique. Discrete variables with multiple components could not be assessed using the usual stepwise technique. Such variables were validated separately, as were all interactions.
Six hundred twenty-seven Olmsted County residents were diagnosed with a definite first lifetime episode of DVT or PE during the period from January 1, 1976, through December 31, 1990. Two patients were missing risk-factor information because of lost medical records and were excluded. After these exclusions, the study population consisted of 625 cases (326 women [52%]), and 625 age- and sex-matched Olmsted County residents without VTE. For 237 cases (38%), the day of VTE onset was the day of their death. For 122 of these patients, the autopsy-discovered PE was classified as an immediate, underlying, or contributory cause of death, leaving 115 definite PE events that were classified as noncausal for death.
In univariate analyses of more than 25 baseline characteristics tested as potential risk factors for VTE, age; BMI; congestive heart failure; active malignant neoplasm; chemotherapy; previous superficial vein thrombosis; previous varicose vein procedure; chronic renal disease; neurologic disease with extremity paresis; previous central venous catheterization or transvenous pacemaker placement; trauma; any surgery; orthopedic surgery; neurosurgery; anesthesia; and hospital, nursing home, or previous hospital admission within 90 days were all significant risk factors (Table 1). Among the 326 female case-control pairs, only the postpartum state and gynecologic surgery were additional significant risk factors for VTE in the univariate analyses.
In the multivariate analysis, independent risk factors for VTE included surgery, trauma, hospital or nursing home inpatient status, malignant neoplasm with and without concurrent chemotherapy, previous central vein catheterization or transvenous pacemaker placement, previous superficial vein thrombosis, varicose veins, neurologic disease with extremity paresis, and congestive heart failure (Table 2 and Figure 1). The risk of VTE was 22-fold higher for patients with recent surgery, more than 12-fold higher for patients with recent trauma, and nearly 8-fold higher for patients confined to a hospital or nursing home. Malignant neoplasm alone was associated with a 4-fold increased risk of VTE, and cytotoxic or immunosuppressive chemotherapy increased the malignant neoplasm–associated risk to more than 6-fold. Patients with previous superficial vein thrombosis were more than 4 times more likely to develop DVT or PE. Placement of either a current or recent central venous catheter and placement of any previous transvenous pacemaker were strong risk factors for upper-extremity venous thrombosis, with more than a 5-fold increased risk. Patients with neurologic disease with extremity paresis were at a 3-fold increased risk for VTE. Interestingly, patients with serious liver disease were 90% less likely to develop VTE. Congestive heart failure was not a significant risk factor for VTE when it was discovered before death or was discovered at autopsy and categorized as a cause of death; congestive heart failure was only a significant risk factor for autopsy-discovered VTE categorized as noncausal for death. Varicose veins were a significant risk factor for VTE, but the risk varied with age. The risk was highest among younger patients with varicose veins and diminished with age.
This population-based case-control study identified a number of independent risk factors for VTE. Our study is the first to identify hospital, nursing home, or other chronic care facility confinement as an independent risk factor for VTE. It is likely that the increased risk associated with hospital confinement reflects relative immobilization4,7,20,21 and the acuity and severity of illness. However, it is less clear that the risk associated with nursing home or chronic care facility confinement represents immobilization, since many such residents remain mobile. Further studies of the risk associated with these residents are warranted, since prophylaxis is seldom provided.
The VTE risk was highest among patients who were hospitalized with previous surgery, with nearly a 22-fold increased risk. This risk is much higher than previously reported,5,7 likely a result of differences in study design. Clinical trial data support the high risk of VTE associated with surgery.3 Recent trauma was the next most potent risk for VTE in our study, with nearly a 13-fold increase in risk. Both autopsy4,5 and cohort22 studies support an increased risk of VTE with trauma.
We found a 4-fold increased risk of VTE among patients with malignant neoplasm alone, which is similar to the increase in PE prevalence among patients with cancer who underwent autopsy.4,5,23 Moreover, malignant neoplasm has been reported as an independent risk factor for outpatient-acquired DVT.8 Patients with cancer receiving immunosuppressive or cytotoxic chemotherapy were at an even higher risk for VTE. Previous studies have shown an increased risk of VTE among patients with breast cancer who were receiving chemotherapy.24,25
Patients with neurologic disease and extremity paresis or plegia had a 3-fold increased risk for VTE that was independent of hospital confinement. Consistent with this finding, the prevalence of PE is increased among patients with paraplegia or quadriplegia who underwent autopsy,5 and the risk of DVT among patients with neurologic disease and paralyzed legs26-28 and among nonambulatory patients who had strokes is increased.29
Our study is the first to document the magnitude of risk for PE or upper-extremity DVT among patients with a current or recent central venous catheter or a transvenous pacemaker, as well as the first to identify superficial vein thrombosis and varicose veins as independent risk factors for VTE. Although the risk associated with central venous catheterization may reflect risk from comorbid conditions, we controlled for most conditions in which such catheters likely would be used. We found that the risk associated with varicose veins varied by patient age. For example, 45-year-old patients with varicose veins had a 4-fold increased risk of VTE compared with a 2-fold increased risk for 60-year-old patients and no increased risk for 75-year-old patients. In contrast, varicose veins were not an independent predictor of major PE discovered at autopsy in the Framingham Study.6 Similarly, varicose veins were not an independent risk factor for DVT among outpatients with no recent trauma, surgery, or immobilization.8 Aside from differences in study population and design, we have no explanation for this discrepancy. It is likely that varicose veins among the young are caused by an inherited connective-tissue defect.30
Interestingly, serious liver disease was associated with a 90% decrease in risk for VTE in our population. This finding is biologically plausible. Patients with serious liver disease often have prolonged clotting times, reduced clearance of fibrin degradation products, and thrombocytopenia. Together, these impairments of normal hemostasis may act to protect patients from VTE.
Congestive heart failure was a risk factor for postmortem VTE that was not a cause of death, but not for VTE that was either manifest before death or categorized as a cause of death. Other cardiac disease was also not an independent risk factor for VTE. Our findings contrast with autopsy studies that demonstrate an increased prevalence of PE among patients who are dying from cardiac disease, especially cardiac disease causing congestive heart failure.4,5 In addition, Cogo et al8 found heart failure to be an independent risk factor for DVT among outpatients with no recent trauma, surgery, or immobilization. We cannot exclude the possibility of detection bias and misclassification of cause of death among patients with congestive heart failure whose PE was discovered on autopsy. In our study, patients who were dying of congestive heart failure may have been more likely to undergo autopsy and thus have an autopsy-discovered PE. However, the attending pathologist may have attributed the cause of death to congestive heart failure rather than PE. Alternatively, congestive heart failure or other cardiac disease may not be a risk factor for VTE independent of hospital confinement.
Neither BMI nor current or past tobacco smoking was an independent risk factor for VTE. While previous studies reported increased risk caused by obesity4,5,8,9 and smoking,9 most of these earlier studies failed to control for hospital confinement or other risk factors. Although our ability to identify an above-normal BMI as a risk factor may have been limited because of missing weight or height data among controls, we do not believe our results are biased since most of the missing data were body height measurements. Moreover, additional analyses of weight as a potential risk factor did not change our conclusions. We also confirmed that chronic obstructive pulmonary disease and renal failure were not independent risk factors for VTE.7,8 A previous study found that the risk of VTE among patients who underwent surgery was less with regional (spinal or epidural) anesthesia compared with general anesthesia.31 In our univariate analyses, regional anesthesia was associated with an 11.5-fold increased risk, while general anesthesia was associated with a 19-fold increased risk. However, in the multivariate analysis, type of anesthesia was not an independent risk factor for VTE after controlling for surgery.
Among women, pregnancy, postpartum period, oral contraceptive use, hormone therapy, and tamoxifen therapy were not independent risk factors for VTE. While several cohort studies showed no significant increase in VTE incidence among pregnant women compared with the general population, the incidence during the postpartum period was increased about 2-fold.32-35 In addition, the vast majority of evidence suggests that both oral contraceptive use10 and hormone replacement therapy11-15,36 are significant risk factors for VTE. Since only 24 patients who had definite VTE events were pregnant (n = 3), postpartum (n = 9), or taking oral contraceptives (n = 12) at baseline, it is likely that the power was insufficient to identify these variables as independent risk factors.
We believe our results are valid because we avoided the potential distortions associated with referral bias by performing a population-based study with both cases and controls selected from residents in the community. Moreover, all cases met strict criteria for VTE; the diagnosis was confirmed by either venogram, pulmonary angiogram, or postmortem examination. We separated VTE events that were detected on postmortem examination into clinically important VTE events that were the immediate, underlying, or a contributory cause of death and incidentally noted VTE events (essentially all PE events) that were discovered on postmortem examination but not judged by the pathologist as sufficiently important to be listed in either part I or part II of the death certificate. Our modeling strategy required that risk factors included in our final model be present in 70% or more of separate bootstrap validations, thus reducing the chance of a type I error. Finally, we evaluated a large number of baseline characteristics as potential risk factors for VTE, including all interactions.
It is also important to address potential limitations of our study. We were unable to evaluate age or sex as independent risk factors for VTE because of our matching strategy. Several studies have either shown an increased incidence of VTE with increased age1,5,37-40 or identified increased age as an independent risk factor for DVT.8 The risk associated with sex remains uncertain; previous studies have reported either no difference in autopsy-discovered PE by sex,5 an increase in the risk for PE and DVT among men,7,8 or an increase in the risk for PE among obese women.6 Because of concern regarding diagnostic suspicion bias, we did not analyze the potential risk associated with immobilization independent of hospital or nursing home confinement (eg, immobilization during prolonged travel). We required that all risk factors be documented in the medical record prior to the onset of the VTE event, and data on such immobilization could not be reliably ascertained from the medical record for controls.
It is likely that our study had insufficient power to exclude hormone therapy, tamoxifen therapy, inflammatory bowel disease, systemic lupus erythematosus, or myeloproliferative diseases as risk factors for VTE. Although we collected all available data on coagulation disorders, most cases and controls were not tested for these disorders. Moreover, the most common coagulation disorder (eg, activated protein C resistance)41 had not been described at the inception of our study.
In summary, we have described independent baseline characteristics that identify a population at risk for VTE and estimated the magnitude of risk associated with each characteristic. For many of these risk factors, available prophylaxis has clear benefit,3 and all affected individuals should receive appropriate prophylaxis. Additional data regarding genetic and acquired disorders as VTE risk factors are needed in order to better assess risk in the individual and to target prophylaxis.
Accepted for publication July 14, 1999.
This study was funded in part by grants HL46974 and AR30583 from the National Institutes of Health, Bethesda, Md; and by the Mayo Foundation, Rochester, Minn.
We thank C. Mary Beard, RN, for assistance in managing the study; Janet Ebersold, RN, Kay Traverse, RN, Mary Lou Notermann, RN, and Susan Stotz, RN, for their untiring medical record review; Randall Stick, BS, for programming; Diana Rademacher, BS, and Christine Lohse, BS, for assistance with data analysis; and Stephanie Wellik for secretarial support.
Corresponding author: John A. Heit, MD, Hematology Research, Plummer 549, Mayo Clinic, 200 First St SW, Rochester, MN 55905 (e-mail: heit.john@mayo.edu).
1.Silverstein
MDHeit
JAMohr
DNPetterson
TMO'Fallon
WMMelton
LJ
III Trends in the incidence of deep vein thrombosis and pulmonary embolism: a 25-year population-based study.
Arch Intern Med. 1998;158585- 593
Google ScholarCrossref 2.Heit
JASilverstein
MDMohr
DNPetterson
TMO'Fallon
WMMelton
LJ
III Predictors of survival after deep vein thrombosis and pulmonary embolism: a population-based, cohort study.
Arch Intern Med. 1999;159445- 453
Google ScholarCrossref 3.Clagett
GPAnderson
FA
JrGeerts
W
et al. Prevention of venous thromboembolism.
Chest. 1998;114(5 suppl)531S- 560S
Google ScholarCrossref 4.Coon
WWColler
FA Some epidemiologic considerations of thromboembolism.
Surg Gynecol Obstet. 1959;109487- 501
Google Scholar 5.Coon
WW Risk factors in pulmonary embolism.
Surg Gynecol Obstet. 1976;143385- 390
Google Scholar 6.Goldhaber
SZSavage
DDGarrison
RJ
et al. Risk factors for pulmonary embolism: the Framingham Study.
Am J Med. 1983;741023- 1028
Google ScholarCrossref 7.Quinn
DAThompson
BTTerrin
ML
et al. A prospective investigation of pulmonary embolism in women and men.
JAMA. 1992;2681689- 1696
Google ScholarCrossref 8.Cogo
ABernardi
EPrandoni
P
et al. Acquired risk factors for deep-vein thrombosis in symptomatic outpatients.
Arch Intern Med. 1994;154164- 168
Google ScholarCrossref 9.Goldhaber
SZGrodstein
FStampfer
MJ
et al. A prospective study of risk factors for pulmonary embolism in women.
JAMA. 1997;277642- 645
Google ScholarCrossref 10.Chasan-Taber
LStampfer
MJ Epidemiology of oral contraceptives and cardiovascular disease.
Ann Intern Med. 1998;128467- 477
Google ScholarCrossref 11.Devor
MBarrett-Connor
ERenvall
M
et al. Estrogen replacement therapy and the risk of venous thrombosis.
Am J Med. 1992;92275- 282
Google ScholarCrossref 12.Daly
EVessey
MPHawkins
MM
et al. Risk of venous thromboembolism in users of hormone replacement therapy.
Lancet. 1996;348977- 980
Google ScholarCrossref 13.Jick
HDerby
LWald
M
et al. Risk of hospital admission for idiopathic venous thromboembolism among users of postmenopausal estrogens.
Lancet. 1996;348981- 983
Google ScholarCrossref 14.Pérez-Gutthann
SGarcía-Rodríguez
LACastellsague-Piqué
J
et al. Hormonal replacement therapy and the risk of venous thromboembolic events: a population-based case-control study.
BMJ. 1997;314796- 800
Google ScholarCrossref 15.Varas-Lorenzo
CGarcía-Rodríguez
LACattaruzzi
C
et al. Hormone replacement and the risk of hospitalization for venous thromboembolism: a population-based study in southern Europe.
Am J Epidemiol. 1998;147387- 390
Google ScholarCrossref 18.Saerbrei
WSchumacher
M A bootstrap resampling procedure for model building: application to the Cox regression model.
Stat Med. 1992;112093- 2109
Google ScholarCrossref 19.Fleiss
JL Statistical Methods for Rates and Proportions. 2nd ed. New York, NY John Wiley & Sons Inc1981;48- 49
20.Gibbs
NM Venous thrombosis of the lower limbs with particular reference to bed rest.
Br J Surg. 1957;191209- 236
Google ScholarCrossref 21.Gross
JSNeufeld
RRLibow
LWGerber
IRodstein
M Autopsy study of the elderly institutionalized patient: review of 234 autopsies.
Arch Intern Med. 1988;148173- 176
Google ScholarCrossref 22.Geerts
WHCode
KIJay
RM
et al. A prospective study of venous thromboembolism after major trauma.
N Engl J Med. 1994;3311601- 1606
Google ScholarCrossref 23.Svendsen
EKarwinski
B Prevalence of pulmonary embolism at necropsy in patients with cancer.
J Clin Pathol. 1989;42135- 139
Google ScholarCrossref 24.Goodnough
LTSaito
HManni
AJones
PKPearson
OH Increased incidence of thromboembolism in stage IV breast cancer patients treated with a five-drug chemotherapy regimen.
Cancer. 1984;541264- 1268
Google ScholarCrossref 25.Levine
MNGent
MHirsh
J
et al. The thrombogenic effect of anti-cancer drug therapy in women with stage II breast cancer.
N Engl J Med. 1988;318404- 407
Google ScholarCrossref 26.Bors
EConrad
CAMasselli
TB Venous occlusion of lower extremities in paraplegic patients.
Surg Gynecol Obstet. 1954;99451- 454
Google Scholar 28.Myllynen
PKammonen
MRokkananen
P
et al. Deep venous thrombosis and pulmonary embolism in patients with acute spinal cord injury: a comparison with non-paralyzed patients immobilized due to spinal fractures.
J Trauma. 1985;25541- 543
Google ScholarCrossref 29.Bromfield
EBReding
MJ Relative risk of deep venous thrombosis or pulmonary embolism post-stroke based on ambulatory status.
J Neurol Rehab. 1988;251- 57
Google Scholar 30.Goldman
MPFronek
A Anatomy and pathophysiology of varicose veins.
J Dermatol Surg Oncol. 1989;15138- 145
Google ScholarCrossref 31.Sharrock
NEHaas
SBHargett
MJ
et al. Effects of epidural anesthesia on the incidence of deep-vein thrombosis after total knee replacement.
J Bone Joint Surg Am. 1991;73502- 506
Google Scholar 32.Treffers
PEHuidekoper
BLWeenink
GH
et al. Epidemiological observations of thromboembolic disease during pregnancy and in the puerperium in 56,022 women.
Int J Gynaecol Obstet. 1983;21327- 331
Google ScholarCrossref 33.Weekes
LRDeukmedjian
AG Thromboembolic disease in pregnancy.
Am J Obstet Gynecol. 1970;107649- 650
Google Scholar 34.Husni
EAPena
LILenhert
AE Thrombophlebitis in pregnancy.
Am J Obstet Gynecol. 1967;97901- 905
Google Scholar 35.Kierkegaard
A Incidence and diagnosis of deep vein thrombosis associated with pregnancy.
Acta Obstet Gynecol Scand. 1983;62239- 243
Google ScholarCrossref 36.Grodstein
FStampfer
MJGoldhaber
SZ
et al. Prospective study of exogenous hormones as risk of pulmonary embolism in women.
Lancet. 1996;348983- 987
Google ScholarCrossref 38.Coon
WWWillis
PW
IIIKeller
JB Venous thromboembolism and other venous disease in the Tecumseh community health study.
Circulation. 1973;48839- 846
Google ScholarCrossref 39.Kierkegaard
A Incidence of acute deep venous thrombosis in two districts: a phlebographic study.
Acta Chir Scand. 1980;146267- 269
Google Scholar 40.Anderson
FAWheeler
HBGoldberg
RJ
et al. A population-based perspective of the hospital incidence and case-fatality rates of deep vein thrombosis and pulmonary embolism: the Worcester DVT Study.
Arch Intern Med. 1991;151933- 938
Google ScholarCrossref 41.Koster
TRosendaal
FRde Ronde
H
et al. Venous thrombosis due to poor anticoagulant response to activated protein C: the Leiden Thrombophilia Study.
Lancet. 1993;3421503- 1506
Google ScholarCrossref