Literature DB >> 25925555

Epidemiology, clinical profile and treatment patterns of venous thromboembolism in cancer patients in Taiwan: a population-based study.

Tan-Wei Chew1, Churn-Shiouh Gau2,3,4, Yu-Wen Wen5, Li-Jiuan Shen6,7,8, C Daniel Mullins9, Fei-Yuan Hsiao10,11,12.   

Abstract

BACKGROUND: Venous thromboembolism (VTE) is a clinically significant complication that is well documented among Caucasian cancer patients. However, evidence regarding VTE incidence and treatment among Asian cancer patients is very limited. The objective of this study is to investigate the incidence, risk factors and management of VTE among Taiwanese cancer patients.
METHODS: Using Taiwan's National Health Insurance Research Database, we identified 43,855 newly diagnosed cancer patients between 2001 and 2008. Two alternative algorithms for identifying VTE event were explored to better quantify a range of incidence rates of VTE in our cancer patients. Multivariable logistic regression models were used to explore VTE risk factors.
RESULTS: The incidence rates of VTE were 9.9 (algorithm 1) and 3.4 (algorithm 2) per 1,000 person-years, respectively. The incidence rates were higher in certain cancers, particularly liver, pancreas, and lung. Significant risk factors for VTE were site of cancer, prior history of VTE, chemotherapy and major surgeries. Long-term anticoagulant therapy was initiated in 64.1% patients with VTE and 72.2% of them received warfarin alone. Approximately two-thirds of patients with VTE received ≤ 3 months of anticoagulant therapy.
CONCLUSION: Incidence of cancer-related VTE is lower among Taiwanese compared to Caucasian populations. Nevertheless, risk factors for cancer-related VTE found in our study were consistent with current literature.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25925555      PMCID: PMC4414299          DOI: 10.1186/s12885-015-1200-6

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Venous thromboembolism (VTE) is a significant complication among cancer patients. The incidence rates of VTE among Caucasian cancer patients were reported to be 4-20%. Cancer patients have 4- to 7-folds higher risk for VTE than the general population [1,2]. In addition, VTE-associated complications such as bleeding events, post-thrombotic syndrome and recurrence of VTE complicate the clinical management of cancer and worsen patients’ quality of life [2]. Existing studies have further linked VTE to a higher risk of 1-year death post cancer diagnoses [3,4]. Several professional organizations, including American Society of Clinical Oncology (ASCO) and National Comprehensive Cancer Network (NCCN), have therefore issued guidelines regarding treatment and prophylaxis of VTE among cancer patients [5-9]. However, these guidelines were based on data mainly from Caucasian populations and their applications in different racial/ethnic populations are left unanswered. In particular, available information on the epidemiology of VTE among Asian cancer patients is very limited. Although observational studies have tried to fill this knowledge gap, most existing studies were limited by small sample sizes and specific cancer sites [10-15]. Different methodological approaches may have contributed to dissimilar estimates of the incidence of VTE in the Asian cancer patients as well. Furthermore, treatment patterns for VTE among the Asian population may not follow clinical guidelines. A large scale, epidemiological study can help us to understand the incidence and treatment of VTE among Asian cancer patients and optimize clinical practice. Using a nationally-representative dataset, we conducted a population-based cohort study to investigate the epidemiology, risk factors, and clinical profile of VTE among Taiwanese cancer patients. In addition, we examined VTE treatment patterns in this population.

Methods

Data source

The data source of this population-based cohort study was the Taiwan’s National Health Insurance research database (NHIRD). The NHIRD is a nationwide database comprising demographic data, clinical data, medical resource utilization data (outpatient and inpatient visits), costs of services, and treatment patterns of more than 99% of the entire population (23 million) in Taiwan. All traceable personal identifiers are removed from the database to protect patient privacy. The database has been described in detail elsewhere [16]. The NHIRD has been maintained since 1997 and has been used to conduct many population-level studies [16,17]. Three subsets of the NHIRD, the Longitudinal Health Insurance Health Insurance Database 2000 (LHID 2000), 2005 (LHID 2005) and 2010 (LHID 2010), which contains claims data of one-million beneficiaries randomly selected from the Registry of Beneficiaries of the NHIRD in 2000, 2005, and 2010, respectively. The LHID 2000, LHID 2005, and LHID 2010 thus include approximately 15% of the total population in Taiwan. The databases used in this study included all inpatient and outpatient medical claims of the LHID 2000, LHID 2005 and LHID 2010 from January, 1999 to December, 2009.

Ethical statement

Because the identification numbers for all of the subjects in the NHRID were encrypted to protect the privacy of the individuals, this study was exempt from a full review by the Institutional Review Board of the National Taiwan University Hospital and informed consent was waived.

Study population

Newly diagnosed cancer patients defined by those who have been first-ever hospitalized with a primary diagnosis of malignant disease (International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code (ICD-9-CM codes: 140–208)) between January 1, 2001 and December 31, 2008 were identified. A two-year wash-out period was applied to ensure their incident diagnoses of cancer. The date when a patient was first hospitalized with a primary diagnosis of malignant disease was defined as the index date. Cancer subtypes analyzed in this study included head and neck (ICD-9-CM codes: 140–149, 160–161), esophageal (150), stomach (151), colorectum (153–154), liver (155), pancreas (157), other abdominal (152, 156, 158–159), lung (162–163), sarcoma (170–171), skin (172–173), breast (174–175), endometrium and cervix (179–182), ovary (183), prostate (185), testis (186), bladder (188), renal (189), brain (191–192), thyroid (193), non-Hodgkin’s lymphoma (200, 202), Hodgkin’s lymphoma (201), multiple myeloma (203), and leukemia (204–208). Patients were excluded if their genders were unknown. Those who had more than one primary diagnosis of malignant diseases at index date were also excluded, for their cancer sites cannot be categorized.

Identification of VTE

Two algorithms of VTE event were adopted in our study to better quantify a range of incidence rates of VTE in our cancer patients. VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx). VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Comorbid diseases and potential risk factors for VTE

Comorbid diseases, including hypertension, heart failure, ischemic heart disease, atrial fibrillation, renal insufficiency, liver disease, chronic lung disease, diabetes mellitus, stroke, rheumatologic diseases, varicose veins of lower extremities, degenerative and paralytic neurologic disease, peripheral vascular disease, anemia, arterial embolism and obesity, were retrieved from both the outpatient and inpatient medical claims for 1 year before or during the index date using relevant ICD-9 CM codes. A history of VTE was defined as being hospitalized with VTE diagnosis within 2 years before the index date. Potential risk factors of VTE, including pregnancy, major surgery, hospitalization, cancer treatments (chemotherapy (including biologic therapy), radiation therapy, hormone therapy, and combination therapy), major extremity trauma, major spine trauma, blood transfusion, and infectious disease, were retrieved from inpatient or outpatient medical claims from 3 months before the VTE event to the end of follow-up date.

Treatment pattern of VTE

Among patients who had VTE events, we examined both initial and long-term treatment of VTE. Initial treatment patterns for patients who had VTE events were examined. Patients whose VTE events met VTE algorithm 2 were followed to see their long-term anticoagulant treatment pattern of VTE. Duration of long-term anticoagulant treatment was calculated from the discharge date of first hospitalization of VTE until the recurrence of VTE or end of follow-up date and was categorized into ≤ 3 months, 3–6 months, 6–12 months, and longer than 12 months.

Statistical analysis

Crude incidence rates of VTE for the entire cancer patients and subgroups of patients categorized by sites of cancer were calculated as the number of cases per 1,000 person-years. For VTE cases, the follow-up time started from index date to the date of VTE event. For patients without VTE event, the follow-up time started from index date to the end of follow-up. Comparisons between cancer patients with and without VTE were performed using Student’s t-test for continuous variables and chi-square or Fisher’s exact test for discrete variables. Multivariable logistic regression models using stepwise selection were carried out to identify risk factors for VTE for the cohort defined using algorithm 2. To assess the association between cancer site and risk of VTE, we regrouped cancer sites as those with higher risk of VTE (GI tracts (stomach, colorectum, pancreas, liver, and esophagus), brain, lung, endometrium and cervix, ovary, and kidney) [1], hematological malignant diseases (non-Hodgkin’s lymphoma, Hodgkin’s lymphoma, multiple myeloma, and leukemia) and other sites of cancer. Statistical significance was set at p < 0.05 and all tests were two-tailed. SAS software (Version 9.2; SAS Institute Inc., Cary, NC, USA) and Microsoft Office Excel 2010 were used in this study for the claims data conversion and analysis.

Results

Baseline characteristics of study cohort and incidence rate of VTE

We identified 43,855 newly diagnosed cancer patients between January 1, 2001 and December 31, 2008. The mean age (± SD) of the study cohort was 59.5 years (±15.9 years). Slightly more than half of them (52.7%) were men and nearly forty percent (41.9%) of patients were aged 65 years and older. Colorectal cancer (14.7%) was the most frequently diagnosed cancer in our study cohort, followed by breast cancer (13.8%), liver cancer (12.0%), head and neck cancer (10.0%), and lung cancer (9.5%). Among 43,855 newly diagnosed cancer patients, hospital admissions for VTE (algorithm 1) were identified in 1,388 patients (3.2%) during or after index date. As shown in Table 1, the overall incidence rate of VTE (algorithm 1) was 9.88 per 1,000 person-years. The incidence rates of VTE were higher in men than women (13.56 vs. 6.61 per 1,000 person-years). The incidence rates of VTE were higher in certain cancers, particularly cancer of liver (68.23 per 1,000 person-years), pancreas (27.83 per 1,000 person-years), lung (17.22 per 1,000 person-years), multiple myeloma (10.56 per 1,000 person-years), and non-Hodgkin’s lymphoma (9.32 per 1,000 person-years). Taken together, these five cancers accounted for 67.6% of the VTE cases.
Table 1

Site of cancer and associated incidence rate of VTE among all cancer patients

VTE (algorithm 1)#VTE (algorithm 2)&
Total patient (n)VTE cases (n)Rate of VTE (%)Observation time (p-y)aIncidence of VTE (per 1,000 p-y)VTE cases (n)Rate of VTE (%)Observation time (p-y)aIncidence of VTE (per 1,000 p-y)
All patients43,8551,3883.2140,5249.884731.1141,3043.35
  Male23,1158963.966,06313.562591.166,5713.89
  Female20,7404922.474,4616.612141.074,7342.86
Site of cancer
Liver5,27276414.511,19768.231052.011,5939.06
Pancreas618193.168327.83111.868516.05
Lung4,1591212.97,02517.22721.77,05810.20
Multiple myeloma18342.237510.6531.73797.92
Non-Hodgkin’s lymphoma1,011303.03,2199.32151.53,2484.62
Leukemia689162.31,7409.2040.61,7582.28
Renal1,303332.54,6557.09161.24,6863.41
Sarcoma458122.61,7616.8292.01,7735.08
Stomach2,231401.86,1106.55221.06,1233.59
Ovary668152.32,3906.28111.72,4054.57
Colorectum6,4621121.722,4524.99691.122,5023.07
Esophageal76160.81,2394.8440.51,2403.23
Brain52271.31,5594.4951.01,5623.20
Endometrium and cervix2,327431.910,0244.29311.310,0553.08
Prostate1,943291.57,2184.02201.07,2322.77
Bladder1,723231.36,4773.55140.86,4842.16
Testis11921.75823.4400.005900.00
Other abdominal67191.31,6813.3640.61,6852.37
Skin898111.23,4263.2160.73,4361.75
Hodgkin’s lymphoma8511.23422.9200.003480.00
Head and neck4,390400.914,9222.68200.514,9551.34
Breast6,035450.825,4381.77290.525,4851.14
Thyroid1,32760.56,0091.0030.26,0200.50

Abbreviations: p-y, person-years.

aFor VTE cases, person-years were calculated from index date to the date of first hospitalization for VTE during or after cancer diagnosis. For patients without VTE event, person-years were calculated from index date until end of follow-up date.

#VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes: 415.1x, 451.xx, 452, and 453.xx).

&VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Site of cancer and associated incidence rate of VTE among all cancer patients Abbreviations: p-y, person-years. aFor VTE cases, person-years were calculated from index date to the date of first hospitalization for VTE during or after cancer diagnosis. For patients without VTE event, person-years were calculated from index date until end of follow-up date. #VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes: 415.1x, 451.xx, 452, and 453.xx). &VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay. Hospital admissions for VTE (algorithm 2) were identified in 473 patients (1.1%) during or after index date. The overall incidence rate of VTE (algorithm 2) was 3.35 per 1,000 person-years; slightly higher in men than women (3.89 vs. 2.86 per 1,000 person-years) (Table 1). The incidence rates of VTE were higher in certain cancers, particularly cancer of pancreas (16.05 per 1,000 person-years), lung (10.20 per 1,000 person-years), liver (9.06 per 1,000 person-years), multiple myeloma (7.92 per 1,000 person-years), and sarcoma (5.08 per 1,000 person-years). Taken together, these five cancers accounted for 42.3% of all VTE cases.

Clinical characteristics of VTE events

Most VTE events (VTE algorithm 1) (53.5%) occurred within 90 days after index date, with 35.8% of VTE events occurring on the index date (Table 2). Median time-to-VTE was 70 days (range, 0–3,124 days). Among patients who experience a VTE, the cumulative occurrence of VTE within 30, 90, 180, 270, and 365 days after index date were 42.9%, 53.5%, 61.8%, 66.3%, and 70.8%, respectively. Among patients hospitalized for VTE (algorithm 2), 59.4% of VTE events occurred within 1 year after index date, with 18.0% of VTE events occurring on the index date (Table 2). Median time-to-VTE was 222 days (range, 0–3,124 days). Cumulative occurrence of VTE within 30, 90, 180, 270, and 365 days after index date were 25.2%, 39.8%, 47.8%, 53.9, and 59.4%, respectively.
Table 2

Time-to-VTE after cancer diagnosis among all cancer patients

VTE algorithm 1#(N = 1,388)VTE algorithm 2&(N = 473)
Time-to-VTEPatient no. (%)Cumulative rate of VTE (%)Patient no. (%)Cumulative rate of VTE (%)
0 days497 (35.8)35.885 (18.0)18.0
1 – 30 days98 (7.1)42.934 (7.2)25.2
31 – 90 days147 (10.6)53.569 (14.6)39.8
91 – 180 days115 (8.3)61.838 (8.0)47.8
181 – 270 days63 (4.5)66.329 (6.1)53.9
271 – 365 days62 (4.5)70.826 (5.5)59.4
366 – 545 days70 (5.0)75.832 (6.8)66.2
546 – 761 days75 (5.4)81.233 (7.0)73.2
>731 days*261 (18.8)100.0127 (26.9)100.0

*The last observed events occurred 3,124 days after index date.

#VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx).

&VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Time-to-VTE after cancer diagnosis among all cancer patients *The last observed events occurred 3,124 days after index date. #VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx). &VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay. Anatomic distribution of VTE is shown in Table 3. Among 1,388 patients with VTE (algorithm 1), 9.7% of patients had pulmonary embolism (PE) (with or without venous thrombosis) and 90.4% of patients had venous thrombosis. Among those with venous thrombosis, 52.9% had intra-abdominal thrombosis (thrombosis of renal, hepatic, or portal vein) and 27.7% had thrombosis of other unspecified site. Among 473 patients with VTE (algorithm 2), 16.1% had PE (with or without venous thrombosis) and 80.7% had venous thrombosis. Among those with venous thrombosis, 19.0% had intra-abdominal thrombosis and 53.9% had thrombosis of unspecified site.
Table 3

Anatomic distribution of VTE among all cancer patients

VTE algorithm 1#VTE algorithm 2&
(N = 1,388)(N = 473)
SitesPatient no. (%)Patient no. (%)
Pulmonary embolism118 (8.5)76 (16.1)
Pulmonary embolism and venous thrombosis16 (1.1)15 (3.2)
Thrombosis of extremities73 (5.3)19 (4.0)
Thrombosis of vena cava38 (2.7)12 (2.5)
Thrombosis of renal vein, hepatic vein or portal vein734 (52.9)a90 (19.0)b
Thrombosis of unspecified site384 (27.7)255 (53.9)
Superficial venous thrombosis4 (0.3)0 (0.0)
Multiple thrombotic sites21 (1.5)c6 (1.3)d

a715 patients had portal vein thrombosis, 12 patients had hepatic vein thrombosis, 7 patients had thrombosis of renal vein.

b86 patients had portal vein thrombosis, 2 patients had hepatic vein thrombosis, 2 patients had thrombosis of renal vein.

c16 patients had concomitant thrombosis of vena cava and intra-abdominal venous, 1 patient had concomitant thrombosis of extremities and other unspecified site, and 3 patients had concomitant thrombosis of vena cava, intra-abdominal venous and other unspecified site.

d4 patients had concomitant thrombosis of vena cava and intra-abdominal venous, and 2 patients had concomitant thrombosis of intra-abdominal venous and other unspecified site.

#VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx).

&VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Anatomic distribution of VTE among all cancer patients a715 patients had portal vein thrombosis, 12 patients had hepatic vein thrombosis, 7 patients had thrombosis of renal vein. b86 patients had portal vein thrombosis, 2 patients had hepatic vein thrombosis, 2 patients had thrombosis of renal vein. c16 patients had concomitant thrombosis of vena cava and intra-abdominal venous, 1 patient had concomitant thrombosis of extremities and other unspecified site, and 3 patients had concomitant thrombosis of vena cava, intra-abdominal venous and other unspecified site. d4 patients had concomitant thrombosis of vena cava and intra-abdominal venous, and 2 patients had concomitant thrombosis of intra-abdominal venous and other unspecified site. #VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx). &VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Baseline characteristics and risk factors for VTE

The mean age (± SD) of cancer patients with VTE (algorithm 2) was 60.9 years (±14.3 years), which was only slightly higher but statistically significantly different from cancer patients without VTE (59.5 ± 15.9 years) (Table 4). Compared with cancer patients without VTE, more cancer patients with VTE had prior histories of VTE within the 2 years before index date (1.1% vs. 0.2%, p < 0.0001). Furthermore, patients with VTE were significantly more likely to have comorbid diseases (including hypertension, heart failure, ischemic heart disease, renal insufficiency, liver disease, rheumatologic diseases, arterial embolism, obesity, and varicose veins of lower extremities) than patients without VTE. Compared with patients without VTE, more patients with VTE received major surgery, active therapy, and G-CSF, or were diagnosed with infectious diseases within 3 months before/during the VTE event. Hospital admission was more frequent in patients with VTE (60.0% vs. 32.1%, p < 0.0001). Among patients who received active therapy, more patients with VTE received chemotherapy (38.5% vs. 11.9%, p < 0.0001) and combination therapy (4.2% vs. 1.2%, p < 0.0001), but more patients without VTE received hormone therapy (7.3% vs. 3.6%, p < 0.0001).
Table 4

Baseline characteristics of cancer patients with or without VTE

Patients without VTEVTE (algorithm 2&)P-value
N = 43,382N = 473
Mean age (years)59.52 ± 15.9260.86 ± 14.260.0440*
No. % No. %
Age groups (years)0.0005*
  ≤185021.210.2
  19 – 404,43110.2367.6
  41 – 6016,84738.817937.9
  61 – 8018,18341.922748.0
  ≥813,4197.9306.3
Gender0.3695
  Male22,85652.725954.8
  Female20,52647.321445.2
Prior history of VTE670.251.10.0011*
Hypertension15,98136.822347.2<0.0001*
Heart failure1,7934.1316.60.0087*
Ischemic heart disease6,00513.88618.20.0066*
Atrial fibrillation6491.591.90.4522
Renal insufficiency3,2707.55311.20.0027*
Chronic lung disease8,21118.99520.10.5229
Diabetes mellitus7,87418.29720.50.1861
Stroke2,6906.2306.30.8988
Degenerative & paralytic neurologic disease3,6658.5479.90.2474
Rheumatologic diseases5731.3122.50.0218*
Liver disease7,95918.411925.20.0001*
Arterial embolism1650.471.50.0028*
Anemia5,17911.96213.10.4354
Varicose veins of lower extremities1700.451.10.0418*
Peripheral vascular disease5151.291.90.1543
Pregnancy740.220.40.1979
Infectious diseases15,80936.424251.2<0.0001*
Major trauma before VTE event12602.9183.80.2465
  Major spine trauma4261.061.30.4775
  Major extremity trauma8612.0122.50.3924
Major surgery before VTE event10,15223.428660.5<0.0001*
  CNS4571.181.70.1779
  Thorax4,70610.915833.4<0.0001*
  Abdomen6,09414.116735.3<0.0001*
  Urogenital1,3973.2439.1<0.0001*
  Orthopedic1640.410.21.0000
Hospitalization13,90932.128460.0<0.0001*
Blood transfusion3,6658.54910.40.1376
Active therapy9,07920.922146.7<0.0001*
  Chemotherapy only5,15111.918238.5<0.0001*
  Radiation only2140.520.41.0000
  Hormone therapy only3,1807.3173.60.0020*
  Combination therapy5341.2204.2<0.0001*
Use of erythropoietin stimulating agent (ESA)8281.991.90.9926
Use of granulocyte colony-stimulating factor (GCSF)1,2823.0418.7<0.0001*
Thalidomide therapy270.100.01.0000
Obesity1460.351.10.0243*

*p-value < 0.05.

&VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Baseline characteristics of cancer patients with or without VTE *p-value < 0.05. &VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay. The results of multivariable logistic regression analysis showed that risk factors for VTE were primary cancer sites of GI, brain, lung, gynecologic, and renal, prior history of VTE, hypertension, arterial embolism, obesity, and rheumatologic diseases (Table 5). In addition, major thoracic, abdominal, and urogenital surgery, chemotherapy, and combination therapy were significantly associated with higher risk of VTE. In contrast, blood transfusion was associated with reduced risk of VTE.
Table 5

Multivariable logistic regression: risk factors for VTE among all cancer patients

VariableOdds ratio95% Cl
Cancer sites
  Low risk (reference)
  High risk1.631.31 - 2.02
  Hematologic1.260.79 - 2.00
Prior history of VTE 4.321.60 - 11.66
Comorbid diseases
  Hypertension1.411.17 - 1.70
  Arterial embolism2.961.31 - 6.67
  Obesity2.881.13 - 7.35
  Rheumatologic diseases1.901.05 - 3.43
Potential risk factors
  Surgery
   Thoracic2.351.91 - 2.89
   Abdominal1.991.62 - 2.45
   Urogenital2.121.52 - 2.94
  Chemotherapy3.612.95 - 4.41
  Combination therapy4.953.08 - 7.96
  Blood transfusion0.570.42 - 0.77
Multivariable logistic regression: risk factors for VTE among all cancer patients Among 1,388 patients hospitalized for VTE (algorithm 1), only 33.6% of patients received anticoagulant therapy or surgical thromboectomy during the hospital stay. Only 7.9% of patients with thrombosis of hepatic, portal, or renal vein alone (n = 734) received management of VTE. In contrast, excluding patients with superficial vein thrombosis (n = 4), anticoagulation or surgical thromboectomy was performed in 62.9% of patients with other sites of venous thrombosis or PE (n = 650). Among cancer patients with VTE events (algorithm 2), 1.5% of patients received thromboecytomy, and 98.5% of patients received LMWH/ UFH for initial treatment of VTE. Patients with VTE (algorithm 2) were followed to analyze the long-term treatment of VTE. Among 473 patients with VTE (algorithm 2), 58 patients (12.3%) did not have any medical claim in the database after the VTE event. We therefore explored patterns of long-term anticoagulant treatment in the remaining 415 patients. Overall, long-term anticoagulant therapy was initiated in 64.1% of patients (Table 6). Among them, 46.3% of patients received warfarin alone and 9.6% of patients received LMWH at any time. The median duration of anticoagulant therapy was 66 days (range, 2–1,442 days). Among these patients, 58.7%, 18.4%, 13.5% and 9.4% of them received ≤ 3 months, 3–6 months, 6–12 months and ≥ 12 months of long-term anticoagulant therapy, respectively.
Table 6

Initial and long-term treatment of VTE among all cancer patients

VTE (algorithm 1#)VTE (algorithm 2&)
(N = 1,388)(N = 473)
Initial treatment Patient no. (%) Patient no. (%)
Thromboectomy7 (0.5)7 (1.5)
Low molecular weight heparin (LMWH)
  LMWH alone58 (4.2)64 (13.5)
  LMWH + warfarin143 (10.3)148 (31.3)
Unfractioned heparin (UFH)
  UFH alone79 (5.7)115 (24.3)
  UFH + warfarin72 (5.2)77 (16.3)
UFH + LWMH
  UFH + LMWH16 (1.1)17 (3.6)
  UFH + LMWH + warfarin43 (3.1)45 (9.5)
Warfarin only49 (3.5)0 (0.00)
No anticoagulation therapy921 (66.4)0 (0.00)
Long-term treatment Patient no. (%) Patient no. (%)
LMWH alone-24 (5.8%)
UFH alone-24 (5.8%)
Warfarin alone-192 (46.3%)
LMWH + warfarin-13 (3.1%)
UFH + warfarin-10 (2.4%)
LMWH and UFH-3 (0.7%)
No anticoagulant therapy-149 (35.9%)

#VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx).

&VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Initial and long-term treatment of VTE among all cancer patients #VTE algorithm 1 was defined as a hospital admission with diagnostic codes of VTE (ICD-9-CM codes 415.1x, 451.xx, 452, and 453.xx). &VTE algorithm 2 was based on both the hospital admission with diagnostic codes of VTE and managements of VTE (prescription of intravenous or subcutaneous (IV/SC) anticoagulants (unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH)) or reimbursement codes of surgical thromboectomy) during the hospital stay.

Discussion

Using the NHI research database, we examined the incidence, risk factors and clinical characteristics of VTE among patients with different cancer types over a period of 9 years. The major strength of our study is that we report population-based rates for VTE incidence and treatment patterns in an Asian population. Two alternative algorithm were used to capture VTE diagnosis codes and managements of VTE during the hospital stay. The second algorithm was similar to the outcome definition used in previous population-based studies [18-20]. To avoid serious underestimation of the incidence rate of VTE among cancer patients, we also included patients who hospitalized for VTE only (algorithm 1). By adopting two VTE algorithms in our study, we believe we could provide crude incidence rates of accidentally detected VTE and clinical symptomatic VTE. In our study, 1.1% to 3.2% of all newly diagnosed cancer patients were hospitalized for VTE events, based on two algorithms of VTE. Our study showed a higher incidence of VTE among the non-Caucasian cancer patients, which is consistent with Yu et al. [20]. The incidence rate of VTE is 21- to 62- folds among cancer patients than the general population in Taiwan (15.9 per 100,000 person-years) [19]. Nevertheless, the VTE incidence is significantly lower than reports among Caucasian populations [21-23]. Among Caucasian patients with cancer, the estimated incidence rate of VTE ranges from 0.6% to 12.1% [24-31]. The incidence rate in our study is lower than reported rates of Cronin-Fenton et al. [29] and Khorana et al. [28] among Caucasian populations. There is convincing evidence that the risk of VTE increases in proportion to the number of predisposing factors [32,33]. Identification of risk factors can help us to identify cancer patients with higher risk for VTE and optimize the prophylaxis of VTE. In our study, an increased risk of VTE was associated with cancer site, prior history of VTE, arterial embolism, hypertension, obesity, major surgery, chemotherapy, and combination therapy. These results were consistent with existing studies among cancer patients [25,27,28,31,34-36]. Rheumatologic diseases were first identified as an independent risk factor for VTE among cancer patients in our study. Recent epidemiological studies among general population also suggested that certain rheumatologic diseases, including rheumatic arthritis (RA), dermatomyositis/polymyositis and systemic lupus erythematous (SLE) were associated with increased risk of VTE [37,38]. Thrombosis of portal vein is common in our study. In our study, 51.5% (algorithm 1) and 18.2% (algorithm 2) of patients with VTE had portal vein thrombosis alone. More than 80% of the portal vein thrombosis occurred in patients with liver cancer. Consistent with previous studies in Korea [12,13], we found that most patients with thrombosis of renal, portal or hepatic veins did not received anticoagulant treatment in clinical practice. Liver cancer is a well-known risk factor for portal vein thrombosis [39,40]. The high prevalence of liver cancer in Taiwan [41] may result in the high prevalence of portal vein thrombosis in our study cohort. However, there is no randomized trial to guide the use of anticoagulation in this situation [39,42]. Given the common prevalence of portal vein thrombosis, further studies are needed to clarify the role and duration of anticoagulant therapy in these patients. This study represents the largest national population-based epidemiologic study in Asia that described the management of VTE among cancer patients in Taiwan. Our study found that the adherence to treatment guidelines was poor in Taiwan. Long-term anticoagulant therapy was only initiated in 64.1% of patients with VTE (algorithm 2). In existing clinical guidelines, 3–6 months of LMWH are recommended for long-term treatment of VTE in cancer patients [1,6,7,42]. However, in our study, among patients who received long-term treatment of VTE, LMWH was administered to only 9.6% of patients at anytime following the VTE events. Most patients received warfarin monotherapy for the long-term treatment of VTE. This is probably because reimbursement for outpatient use of LMWH by NHI was limited to pregnant patients with prosthetic valve replacement [20]. Furthermore, in our study, treatment duration of long-term anticoagulant therapy was shorter than those recommended in clinical guidelines [1,6,7,42]. Some limitations exist in the present study, generally related to the use of a claims database. First, the actual incidence of VTE may be underestimated, because some patients with PE die suddenly without accurate diagnosis. Patients who treated in the outpatient clinic using LMWH/oral anticoagulants were not included based on our definitions. Identification of a VTE event based on admission record may underestimate the incidence of VTE. However, the magnitude of underestimation could be very small as home injection of LMWH/UFH/fondapariunx is not reimbursed under Taiwan’s National Health Insurance system, cancer patients usually are admitted for receiving these treatments. In addition, as patients usually receive LMWH/UFH for the initial treatment of VTE (“incident” VTE in our study) and warfarin for the long-term treatment, it is easier for physicians to monitor activated partial thromboplastin time (aPTT) and international normalized ratio (INR) when patients are hospitalized. These could be supported by another epidemiological study of VTE in the Taiwanese general population, in which the authors define their VTE cases as those who admitted for a VTE event [19]. Furthermore, patients with asymptomatic VTE may not be documented. We were unable to distinguish symptomatic VTE and incidentally detected VTE as the information were not routinely captured in a claim database. However, our estimates provide the incidence rate of clinically overt VTE, which is useful in helping decision making of VTE prophylaxis in clinical practice. A second limitation of our study is we identified our cancer cases based on a diagnosis of cancer at hospitalization, cancer cases diagnosed based on outpatient visit were not included, which may underestimate the cancer population. Nevertheless, as all NHI beneficiaries diagnosed with cancer is required to have an confirmed cancer diagnosis from the hospital to be eligible for a Certificate of Catastrophic Illness to be exempted from all co-payments, cancer cases who only be treated in outpatient setting are very few in Taiwan. This approach could thus help us precisely identify the cancer cases and avoid potential misclassifications. Third, other factors that may contribute to development of VTE, including disease stage, laboratory data and performance status could not be obtained from the databases. However, we include many variables such as active therapy (e.g. radiation therapy) to serve as the proxy of disease severity to reduce potential confounding effects. Fourth, the study cohort may have received anticoagulant treatment based on certain baseline and prognostic characteristics. Finally, thromboprophylaxis can alter the incidence of VTE, but its use in our study population is unknown.

Conclusion

In conclusion, this retrospective cohort study describes the epidemiology, risk factors, and clinical profile of VTE across different types of cancer among an Asian population. The incidence rate of VTE was higher among cancer patients than among non-cancer patients in Taiwan but lower than among Caucasian cancer patients. Clinical practitioners should carefully monitor patients with cancer for VTE. Adherence to treatment guidelines was low in this real world cohort of Taiwanese cancer patients with VTE. Treatment and prophylaxis of VTE should be optimized, especially in patients with higher-risk of VTE. Due to the different epidemiologic profile of VTE in Taiwan compared with Caucasian population, further investigations are desired to estimate the harms and benefits of anticoagulants treatment and thromboprophylaxis among Asian cancer patients.
  38 in total

1.  Venous thromboembolism (VTE) in patients with advanced gastric cancer: an Asian experience.

Authors:  Myoung Joo Kang; Baek-Yeol Ryoo; Min-Hee Ryu; Dong-Hoe Koo; Heung Moon Chang; Jae-Lyun Lee; Tae Won Kim; Yoon-Koo Kang
Journal:  Eur J Cancer       Date:  2011-12-12       Impact factor: 9.162

2.  Different characteristics and prognostic impact of deep-vein thrombosis / pulmonary embolism and intraabdominal venous thrombosis in colorectal cancer patients.

Authors:  Seyoun Choi; Keun-Wook Lee; Soo-Mee Bang; Sujung Kim; Jeong-Ok Lee; Yu Jung Kim; Jee Hyun Kim; Young Soo Park; Duck-Woo Kim; Sung-Bum Kang; Jae-Sung Kim; Doyeun Oh; Jong Seok Lee
Journal:  Thromb Haemost       Date:  2011-11-10       Impact factor: 5.249

3.  A clinical outcome-based prospective study on venous thromboembolism after cancer surgery: the @RISTOS project.

Authors:  Giancarlo Agnelli; Giorgio Bolis; Lorenzo Capussotti; Roberto Mario Scarpa; Francesco Tonelli; Erminio Bonizzoni; Marco Moia; Fabio Parazzini; Romina Rossi; Francesco Sonaglia; Bettina Valarani; Carlo Bianchini; Gualberto Gussoni
Journal:  Ann Surg       Date:  2006-01       Impact factor: 12.969

4.  Antithrombotic therapy for VTE disease: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  Clive Kearon; Elie A Akl; Anthony J Comerota; Paolo Prandoni; Henri Bounameaux; Samuel Z Goldhaber; Michael E Nelson; Philip S Wells; Michael K Gould; Francesco Dentali; Mark Crowther; Susan R Kahn
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

5.  Incidence of venous thromboembolism in patients hospitalized with cancer.

Authors:  Paul D Stein; Afzal Beemath; Frederick A Meyers; Elias Skaf; Julia Sanchez; Ronald E Olson
Journal:  Am J Med       Date:  2006-01       Impact factor: 4.965

Review 6.  Portal vein thrombosis.

Authors:  Sameer Parikh; Riddhi Shah; Prashant Kapoor
Journal:  Am J Med       Date:  2010-02       Impact factor: 4.965

7.  Risk of venous thromboembolism with rheumatoid arthritis.

Authors:  Fadi Matta; Ravinder Singala; Abdo Y Yaekoub; Reiad Najjar; Paul D Stein
Journal:  Thromb Haemost       Date:  2009-01       Impact factor: 5.249

Review 8.  Portal vein thrombosis: insight into physiopathology, diagnosis, and treatment.

Authors:  Francesca R Ponziani; Maria A Zocco; Chiara Campanale; Emanuele Rinninella; Annalisa Tortora; Luca Di Maurizio; Giuseppe Bombardieri; Raimondo De Cristofaro; Anna M De Gaetano; Raffaele Landolfi; Antonio Gasbarrini
Journal:  World J Gastroenterol       Date:  2010-01-14       Impact factor: 5.742

Review 9.  Risk factors for venous thromboembolism.

Authors:  Frederick A Anderson; Frederick A Spencer
Journal:  Circulation       Date:  2003-06-17       Impact factor: 29.690

Review 10.  2008 French national guidelines for the treatment of venous thromboembolism in patients with cancer: report from the working group.

Authors:  Dominique Farge; Lise Bosquet; Diana Kassab-Chahmi; Patrick Mismetti; Ismail Elalamy; Guy Meyer; Francis Cajfinger; Hélène Desmurs-Clavel; Antoine Elias; Claire Grange; Hamid Hocini; Grégoire Legal; Isabelle Mahe; Isabelle Quéré; Hervé Levesque; Philippe Debourdeau
Journal:  Crit Rev Oncol Hematol       Date:  2010-01       Impact factor: 6.312

View more
  10 in total

1.  SAMe-TT2R2 predicts quality of anticoagulation in patients with acute venous thromboembolism: The MAQI2 experience.

Authors:  Akash Kataruka; Xiaowen Kong; Brian Haymart; Eva Kline-Rogers; Steve Almany; Jay Kozlowski; Gregory D Krol; Scott Kaatz; Michael W McNamara; James B Froehlich; Geoffrey D Barnes
Journal:  Vasc Med       Date:  2017-02-01       Impact factor: 3.239

Review 2.  Key points to optimizing management and research on cancer-associated thrombosis.

Authors:  A Carmona-Bayonas; M Sánchez-Cánovas; J M Plasencia; A Custodio; E Martínez de Castro; J A Virizuela; F Ayala de la Peña; P Jiménez-Fonseca
Journal:  Clin Transl Oncol       Date:  2017-06-07       Impact factor: 3.405

3.  A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes.

Authors:  Jing Jiang; Wan Li; Binhua Liang; Ruiqiang Xie; Binbin Chen; Hao Huang; Yiran Li; Yuehan He; Junjie Lv; Weiming He; Lina Chen
Journal:  PLoS One       Date:  2016-04-06       Impact factor: 3.240

4.  Bidirectional risk between venous thromboembolism and cancer in East Asian patients: synthesis of evidence from recent population-based epidemiological studies.

Authors:  Victor C Kok
Journal:  Cancer Manag Res       Date:  2017-12-05       Impact factor: 3.989

5.  Long-Term Effects of Unprovoked Venous Thromboembolism on Mortality and Major Cardiovascular Events.

Authors:  Wei-Ting Chang; Chia-Li Chang; Chung-Han Ho; Chon-Seng Hong; Jhi-Joung Wang; Zhih-Cherng Chen
Journal:  J Am Heart Assoc       Date:  2017-05-03       Impact factor: 5.501

Review 6.  Cancer-associated thrombosis in Asia.

Authors:  Pantep Angchaisuksiri
Journal:  Thromb J       Date:  2016-10-04

7.  Incidence, Risk Factors, and Outcomes of Arterial Thromboembolism in Patients with Pancreatic Cancer Following Palliative Chemotherapy.

Authors:  Yu-Shin Hung; Jen-Shi Chen; Yen-Yang Chen; Chang-Hsien Lu; Pei-Hung Chang; Wen-Chi Chou
Journal:  Cancers (Basel)       Date:  2018-11-12       Impact factor: 6.639

8.  Safety and Effectiveness of Non-Vitamin K Antagonist Oral Anticoagulants for Stroke Prevention in Patients With Atrial Fibrillation and Anemia: A Retrospective Cohort Study.

Authors:  Chun-Li Wang; Victor Chien-Chia Wu; Yu-Tung Huang; Chang-Fu Kuo; Pao-Hsien Chu; Yu-Ling Chen; Ming-Shien Wen; Shang-Hung Chang
Journal:  J Am Heart Assoc       Date:  2019-05-07       Impact factor: 5.501

9.  The combination of Caprini risk assessment scale and thrombotic biomarkers to evaluate the risk of venous thromboembolism in critically ill patients.

Authors:  Yang Fu; Yumei Liu; Si Chen; Yaxiong Jin; Hong Jiang
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.889

10.  Epidemiology of Cancer-Associated Thrombosis in Asia: A Systematic Review.

Authors:  Lai Heng Lee; Chandramouli Nagarajan; Chuen Wen Tan; Heng Joo Ng
Journal:  Front Cardiovasc Med       Date:  2021-05-21
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.