| Literature DB >> 35435762 |
Abdella Birhan Yabeyu1, Shemsu Umer Hussen2, Wondemagegnhu Tigneh3, Atalay Mulu Fentie2.
Abstract
Venous thromboembolism is a common problem in patients treated for cancer, although the reported incidence varies widely between studies. This was the first study in its kind in Ethiopia and aimed to assess the incidence and determinants of chemotherapy associated thromboembolic events among patients treated for solid malignancy. An institution-based retrospective cross-sectional study was conducted from 1st March to 1st June, 2019 at adult oncology center of Tikur Anbessa Specialized Hospital. Systematic random sampling technique was employed to recruit 423 study participants. Patients who have received at least a single cycle of any chemotherapy regimen were included in the study. Khorana risk assessment tool was used to predict chemotherapy associated thrombosis. Descriptive statistics were used to summarize the data while multivariable logistic regression was employed to explore associations among variables of interest. The median age of study participants was 43 years, which ranged from 14 to 83 years. Majority of the study participants were treated for breast cancer. Thromboembolic events encountered in 43(10.2%) of patients, from which the commonest one being deep venous thrombosis 36 (85.7%), followed by myocardial infarction 5(11.9%). In multivariable logistic regression, blood transfusion, a primary site of cancer with gastrointestinal malignancy and performance status showed statistically significant association towards the occurrences of thromboembolic events. The incidence of chemotherapy associated thromboembolic events among patients treated for solid malignancy was comparable to other studies. Hence, other prospective randomized trials are needed to see the importance of thrombo-prophylaxis in such high-risk patients.Entities:
Keywords: Ethiopia; chemotherapy; solid malignancy; thromboembolic events
Mesh:
Year: 2022 PMID: 35435762 PMCID: PMC9019369 DOI: 10.1177/10760296221091216
Source DB: PubMed Journal: Clin Appl Thromb Hemost ISSN: 1076-0296 Impact factor: 3.512
Figure 1.Diagrammatic scheme of study participant recruitment process of patients attending in adult oncology unit of Tikur Anbessa Specialized Hospital, March 1 – June 1, 2019 (n= 423).
Socio-Demographic Characteristics of Study Participants Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
| Variables | Number of Patients (%) |
|---|---|
| Age | |
| < 30 years | 79 (18.7) |
| 31 - 45 years | 139 (32.9) |
| 46–60 years | 127 (30.8) |
| < 60 years | 78 (18.4) |
| Sext | |
| Male | 207 (48.9) |
| Female | 216 (51.1) |
| Pregnancy | |
| Pregnant | 3 (1.38) |
| Not pregnant | 213 (98.61) |
| Smoking habit | |
| Smoker | 47 (11.1) |
| Non-smoker | 318 (75.2) |
| Unknown | 58 (13.7) |
Clinical Characteristics of Patients Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
| Variables | Number of patients (%) |
|---|---|
| BMI | |
| below 24.9 | 281 (66.4) |
| 25.0-29.9 | 127 (30.0) |
| 30.0-34.9 | 13 (3.1) |
| above 35.0 | 2 (0.5) |
| Performance status | |
| ECOG 0 | 10 (2.4) |
| ECOG 1 | 212 (50.1) |
| ECOG 2 | 152 (35.9) |
| ECOG 3 | 45 (10.6) |
| ECOG 4 | 3 (0.7) |
| Unknown | 1 (0.2) |
| Primary site of cancer | |
| Breast | 119 (28.1) |
| Lung | 16 (3.8) |
| Gynecological | 47 (11.1) |
| Head and Neck | 63 (14.9) |
| Gastrointestinal | 113 (26.7) |
| Others | 65 (15.4) |
| Cancer stage | |
| Stage 0-2 | 28 (6.6) |
| Stage 3 | 173 (40.9) |
| Stage 4 | 204 (48.2) |
| Unknown | 18 (4.3) |
| Comorbidity | |
| HIV/AIDS | 27 (6.4) |
| Hypertension | 18 (4.3) |
| | 13 (3.1) |
| Chronic Kidney Disease | 12 (2.8) |
| Congestive Heart Failure | 10 (2.4) |
| Anemia | 10 (2.4) |
| Peptic Ulcer Disease | 7 (1.7) |
| Hypertension + Type 2 Diabetes | 6 (1.4) |
| Asthma | 4 (0.9) |
| Pulmonary Tuberculosis | 3 (0.7) |
| Disseminated Tuberculosis | 2 (0.5) |
| Congestive Heart Failure + Hypertension | 2 (0.5) |
| HIV/AIDS + Hypertension | 2 (0.5) |
| Unknown | 297 (70.2) |
| Others* | 10 (2.4) |
*Each patient had either one of the following (HIV/AIDS + asthma, Benign Prostate Hyperplasia, asthma + type 2 diabetes, congestive heart failure + anemia, rheumatoid arthritis, retroviral Infection + hypertension + anemia, HIV/AIDS + congestive heart failure, schizophrenia, type 1 diabetes + hypertension or Peripheral arterial disease + type 2 diabetes. ECOG, Eastern Cooperative Oncology Group.
Figure 2.Khorana risk score of study participants of patients attending in adult oncology unit of TASH, Addis Ababa, Ethiopia, from January 2018- January 2019.
Treatment Characteristics of Study Participants Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
| Treatment Modalities | Number of Patients (%) |
|---|---|
| Chemotherapy + Surgery within last month | 65 (15.4) |
| Chemotherapy + Radiation therapy | 176 (41.6) |
| Chemotherapy cycles | |
| Below 3 cycles | 110 (26.0) |
| Between 4-6 cycles | 208 (49.2) |
| Above seven cycles | 105 (24.2) |
| Use of erythropoietin at least for two-cycle | |
| Yes | 2 (0.5) |
| No | 421 (99.5) |
| Prophylactic myeloid growth factor use | |
| Yes | 120 (28.4) |
| No | 303 (71.6) |
| Steroid use | |
| Yes | 414 (97.9) |
| No | 9 (2.1) |
| Blood transfusion | |
| Yes | 87 (20.6) |
| No | 336 (79.4) |
| Type of treatment | |
| New | 360 (85.1) |
| Relapse or recurrence | 63 (14.9) |
Type of Chemotherapy Regimen of Study Participants Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018 - January 2019, (n = 423).
| Specific chemotherapy regimen | Number of patients (%) |
|---|---|
| Doxorubicin + Cyclophosphamide + Paclitaxel | 79 (18.7) |
| Cisplatin + 5-FU | 62 (14.7) |
| Cisplatin + Paclitaxel | 48 (11.3) |
| Doxorubicin + Cyclophosphamide | 35 (8.3) |
| Vincristine + Doxorubicin + Cyclophosphamide | 29 (6.9) |
| 5-FU + Folinic acid + Oxaliplatin | 21 (5) |
| Cisplatin + Doxorubicin | 16 (3.8) |
| Carboplatin + Paclitaxel | 15 (3.5) |
| Doxorubicin + Dacarbazine | 11 (2.6) |
| Capecitabine + Oxaliplatin | 11 (2.6) |
| Cisplatin + Gemcitabine | 11 (2.6) |
| Cisplatin + 5-FU for 2 cycle Cisplatin + Paclitaxel for 4 cycles. | 10 (2.36) |
| Cisplatin | 6 (1.4) |
| Folinic acid + 5-FU + Irinotecan | 5 (1.2) |
| Cisplatin + Etoposide | 5 (1.2) |
| Cisplatin + Etoposide + Bleomycine | 5 (1.2) |
| 5-FU + Folinic acid + Oxaliplatin (FOLFOX)for 3 cycles + 5-FU + Folinic acid + Irinotecan (FOLFORI) for 3 cycles | 4 (1.0) |
| Cisplatin + 5-FU for 6 cycle + Carboplatin + Paclitaxel for 2 cycles. | 4 (1.0) |
| FOLFOX for 5 cycle + Capecitabine for 3 cycle | 3 (0.7) |
| Carboplatin + 5-FU | 3 (0.7) |
| Carboplatin + Etoposide | 2 (0.5) |
| Cisplatin + Doxorubicin + Cyclophosphamide | 2 (0.5) |
| FOLFORI for 2 cycle + Capecitabine + Oxaliplatin for 6 cycle | 2 (0.5) |
| Paclitaxel | 2 (0.5) |
| Others* | 29 (6.85) |
*Each patients were received either one of the following; doxorubicin + cyclophosphamide for 4 cycles followed by docetaxel 3 cycles, doxorubicin + cyclophosphamide for 4 cycles then gemcitabine for 6 cycles, etoposide, doxorubicin + cyclophosphamide + 5-FU, dacarbazine, doxorubicin + cyclophosphamide + paclitaxel for 8 cycles followed by carboplatin + paclitaxel for 6 cycles, doxorubicin + 5-FU, baclutamide, carboplatin + 5-FU, epirubicin + Cisplatin + 5-FU, FOLFOX for 2 cycles followed by Capecitabine + oxaliplatin for 3 cycles, FOLFOX for 2 cycles then bevacizumab, G, cisplatin + doxorubicin + vinblastine + methotrexate, cisplatin + doxorubicin + etoposide, cisplatin + doxorubicin + paclitaxel, cisplatin + 5-FU + doxorubicin, cisplatin + bleomycine + epirubicin, cisplatin + 5-FU for 6 cycles + cisplatin + paclitaxel for 6 cycles, cisplatin + paclitaxel for 3 cycles followed by capecitabine for 4 cycles, cisplatin + paclitaxel for 4 cycles + carboplatin + paclitaxel for 6 cycles, cisplatin + paclitaxel for 4 cycles + vinorelbine + gemcitabine for 5 cycles, temozolomide or capecitabine.
Figure 3.Incidence of thromboembolic events of study participants attending in adult oncology unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
Thromboembolic Events with Respect to Chemotherapies of Study Participants Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
| Chemotherapy regimens | Number of TE events (%) | Number of DVTs | Number of MIs | Number of PEs |
|---|---|---|---|---|
| FOLFOX | 6 (13.95) | 6 | 0 | 0 |
| Cisplatin + Paclitaxel | 6 (13.95) | 2 | 3 | 1 |
| doxorubicin + Cyclophosphamide + Paclitaxel | 6 (13.95) | 4 | 2 | 0 |
| FOLFORI | 4 (9.3) | 4 | 0 | 0 |
| Cisplatin + doxorubicin | 3 (6.97) | 3 | 0 | 0 |
| Cisplatin + 5-FU | 2 (4.65) | 2 | 0 | 0 |
| Vincristine + doxorubicin + Cyclophosphamide | 2 (4.65) | 2 | 0 | 0 |
| Cisplatin + Gemcitabine | 2 (4.65) | 2 | 0 | 0 |
| Carboplatin + Paclitaxel | 2 (4.65) | 2 | 0 | 0 |
| Capecitabine + Oxaliplatin | 2 (4.65) | 2 | 0 | 0 |
| Cyclophosphamide + doxorubicin + Cisplatin | 2 (4.65) | 2 | 0 | 0 |
| Others* | 4 (9.3) | 4 | 0 | 0 |
*Each DVT occurred in patients received either one of the following chemotherapy regimens; Cisplatin + etoposide + doxorubicin, doxorubicin + cyclophosphamide + vincristine + prednisolone, doxorubicin + cyclophosphamide or methotrexate + vinblastine + cisplatin + doxorubicin.
Predictive Factors Associated with Thromboembolic Events of Study Participants Attending in Adult Oncology Unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, from January 2018- January 2019, (n = 423).
| Variables | TE events, n (%) | Crude OR (CI 95%) | Adjusted OR (CI 95%) | |
|---|---|---|---|---|
| Prior Chemotherapy | ||||
| Yes | 7 (17.5) | 33 (82.5) | 1.00 | |
| No | 36 (9.39) | 347 (90.6) | 0.489 (0.202-1.185) | 0.573 (0.18-1.823) |
| Blood Transfusion | ||||
| Yes | 22 (25.28) | 65 (74.71) | 1.00 | |
| No | 21 (6.25) | 315 (93.75) | 0.197 (0.12-0.379) | 0.379 (0.161-0.891)* |
| Primary site | ||||
| Breast | 6 (5.04) | 113 (94.95) | 1.00 | |
| Lung | 1 (6.25) | 15 (93.75) | 3.836 (1.348-10.922) | 12.936 (0.634-263.9) |
| Gynecological | 6 (12.76) | 15 (93.75) | 3.056 (0.365-25.598) | 5.036 (0.447-56.754) |
| Head and neck | 1 (1.58) | 62 (98.41) | 1.392 (0.475-4.075) | 2.924 (0.656-13.036) |
| GI | 18 (15.92) | 95 (84.07) | 12.63 (1.579-10.1030) | 10.641 (1.083-12.4573)* |
| Other | 11 (16.92) | 54 (83.07) | 1.075 (0.473-2.44) | 1.54 (0.479-4.952) |
| Performance Status | ||||
| EGOG 0-1 | 2 (0.9) | 220 (99.09) | 1.00 | |
| ECOG 2 | 23 (15.13) | 129 (84.86) | 63.87 (14.131-28.8689) | 38.112 (7.609-49.0902)* |
| ECOG 3-4 | 18 (36.73) | 31 (63.26) | 3.257 (1.568-6.764) | 2.713 (1.124-6.549)* |
| Khorana risk score | ||||
| Low | 6 (4.61) | 124 (95.38) | 1.00 | |
| Intermediate | 26 (11.06) | 209 (88.93) | 4.837 (1.69-13.82) | 1.638 (0.399-6.719) |
| High | 11 (18.96) | 47 (81.03) | 1.881 (0.869-4.074) | 0.901 (0.303-2.686) |
| Erythropoietin use | ||||
| Yes | 1 (50.00) | 1 (50.00) | 1.00 | |
| No | 42 (9.97) | 379 (90.02) | 0.11 (0.007-1.804) | 0.996 (0.45-22.087) |
| Myeloid Growth Factor | ||||
| Yes | 16 (13.33) | 104 (86.66) | 1.00 | |
| No | 27 (8.91) | 276 (91.08) | 0.636 (0.329-1.228) | 0.793 (0.339-1.854) |
| Antibiotics | ||||
| Yes | 31 (12.3) | 221 (87.7) | 1.00 | |
| No | 12 (7.01) | 159 (92.98) | 0.538 (0.268-1.080) | 0.461 (0.195-1.092) |
| Regimen containing fluorinated pyrimidine | ||||
| Yes | 18 (13.23) | 118 (86.76) | 1.00 | |
| No | 25 (8.71) | 262 (91.28) | 0.626 (0.329-1.191) | 0.85 (0.326-2.214) |
| Regimens congaing platinum analogs | ||||
| Yes | 30 (12.24) | 215 (87.75) | 1.00 | |
| No | 13 (7.30) | 165 (92.69) | 0.565 (0.286-1.116) | 0.956 (0.321-2.93) |
*Variables which showed significant association with the occurrences of TE events.
Khorana Risk Assessment.
| Patients characteristics | Risk scores |
|---|---|
| Initial Site of Cancer | |
| Very High (Stomach, Pancreas) | 2 |
| High risk (Lung, Lymphoma, Gynecologic, Bladder, Testicular) | 1 |
| Pre chemotherapy platelet count 350,000/mcl or more | 1 |
| Hemoglobin level less than 10 g/dl or use of red cell growth factors | 1 |
| Pre chemotherapy WBC count more than 11,000 cells/mcl | 1 |
| BMI: 35 kg/m2 or more | 1 |
BMI, Body Mass Index; WBC, White Blood Cell