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Avery J, Guffey D, Ma S, Basom R, Lee SJ, Garcia D, Rojas Hernandez CM, Li A, Martens KL. Risks factors and outcomes for isolated catheter-related deep venous thrombosis in patients undergoing allogeneic hematopoietic stem cell transplantation. Thromb Res 2023; 229:1-6. [PMID: 37356171 PMCID: PMC10527315 DOI: 10.1016/j.thromres.2023.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/07/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
INTRODUCTION Patients undergoing allogenic hematopoietic stem cell transplantation (allo-HSCT) require indwelling central venous catheters. The comparative incidence, risk, and outcome of isolated catheter-related deep venous thrombosis (CR-DVT) versus pulmonary embolism/lower-extremity DVT (PE/LE-DVT) remains unclear. MATERIALS AND METHODS We conducted a retrospective cohort study for patients undergoing allo-HSCT from 2006 to 2019. CR-DVT and PE/LE-DVT outcomes were screened using ICD codes and radiology reports and confirmed by medical record reviews. Cox regression models were used to assess the association between thrombotic outcomes and pertinent baseline and time-varying covariates. The impact of thrombotic events within 1-year post-transplant (time-varying) on overall mortality was also assessed. RESULTS Among 2879 patients, the cumulative incidence of isolated CR-DVT and PE/LE-DVT at 12 months was 4.2 % and 4.8 %, respectively. The strongest time-varying predictor for onset of CR-DVT and PE/LE-DVT was hospitalization inpatient status (HR 3.71 [95 % CI 2.16-6.37] and 3.99 [95 % CI 2.00-7.99], respectively). Other overlapping variables included lymphoma diagnosis and BMI > 35 kg/m2, whereas acute GVHD grades 2-4 were found to be significantly associated with risk of PE/LE-DVT but not CR-DVT. After adjusting for baseline variables and acute GVHD, the occurrences of CR-DVT and PE/LE-DVT were both independently associated with increased overall mortality (HR 1.58 [95 % CI 1.23-2.02] and HR 1.53 [95 % CI 1.19-1.97], respectively). CONCLUSIONS We observed a high incidence of both CR-DVT and PE/LE-DVT with overlapping and unique risk factors. CR-DVT was also associated with increased mortality similar to PE/LE-DVT. Standardized strategies targeting high-risk hospitalization periods may help mitigate the development of thrombotic outcomes post-transplant.
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Affiliation(s)
- Jonathan Avery
- University of Washington School of Medicine, 1959 NE Pacific St, Seattle, WA 98195, United States
| | - Danielle Guffey
- Institute for Clinical and Translational Research, Baylor College of Medicine, One Baylor Plaza, BCM 451, Houston, TX 77030, United States
| | - Shengling Ma
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, MS:187, Houston, TX 77030, United States
| | - Ryan Basom
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave. N., P.0. Box 19024, Seattle, WA 98109, United States
| | - Stephanie J Lee
- Clinical Research Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave. N., P.0. Box 19024, Seattle, WA 98109, United States
| | - David Garcia
- Division of Hematology, University of Washington, Seattle, WA, 1705 NE Pacific St, Seattle, WA 98195, United States
| | - Cristhiam M Rojas Hernandez
- Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, United States
| | - Ang Li
- Section of Hematology-Oncology, Baylor College of Medicine, One Baylor Plaza, MS:187, Houston, TX 77030, United States.
| | - Kylee L Martens
- Division of Hematology and Medical Oncology, Oregon Health and Science University, 3181 S.W. Sam Jackson Park Road, Portland, OR 97239, United States
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Deng RX, Zhu XL, Zhang AB, He Y, Fu HX, Wang FR, Mo XD, Wang Y, Zhao XY, Zhang YY, Han W, Chen H, Chen Y, Yan CH, Wang JZ, Han TT, Chen YH, Chang YJ, Xu LP, Huang XJ, Zhang XH. Machine learning algorithm as a prognostic tool for venous thromboembolism in allogeneic transplant patients. Transplant Cell Ther 2023; 29:57.e1-57.e10. [PMID: 36272528 DOI: 10.1016/j.jtct.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 11/15/2022]
Abstract
As a serious complication after allogenic hematopoietic stem cell transplantation (allo-HSCT), venous thromboembolism (VTE) is significantly related to increased nonrelapse mortality. Therefore distinguishing patients at high risk of death who should receive specific therapeutic management is key to improving survival. This study aimed to establish a machine learning-based prognostic model for the identification of post-transplantation VTE patients who have a high risk of death. We retrospectively evaluated 256 consecutive VTE patients who underwent allo-HSCT at our center between 2008 and 2019. These patients were further randomly divided into (1) a derivation (80%) cohort of 205 patients and (2) a test (20%) cohort of 51 patients. The least absolute shrinkage and selection operator (LASSO) approach was used to choose the potential predictors from the primary dataset. Eight machine learning classifiers were used to produce 8 candidate models. A 10-fold cross-validation procedure was used to internally evaluate the models and to select the best-performing model for external assessment using the test cohort. In total, 256 of 7238 patients were diagnosed with VTE after transplantation. Among them, 118 patients (46.1%) had catheter-related venous thrombosis, 107 (41.8%) had isolated deep-vein thrombosis (DVT), 20 (7.8%) had isolated pulmonary embolism (PE), and 11 (4.3%) had concomitant DVT and PE. The 2-year overall survival (OS) rate of patients with VTE was 68.8%. Using LASSO regression, 8 potential features were selected from the 54 candidate variables. The best-performing algorithm based on the 10-fold cross-validation runs was a logistic regression classifier. Therefore a prognostic model named BRIDGE was then established to predict the 2-year OS rate. The areas under the curves of the BRIDGE model were 0.883, 0.871, and 0.858 for the training, validation, and test cohorts, respectively. The Hosmer-Lemeshow goodness-of-fit test showed a high agreement between the predicted and observed outcomes. Decision curve analysis indicated that VTE patients could benefit from the clinical application of the prognostic model. A BRIDGE risk score calculator for predicting the study result is available online (47.94.162.105:8080/bridge/). We established the BRIDGE model to precisely predict the risk for all-cause death in VTE patients after allo-HSCT. Identifying VTE patients who have a high risk of death can help physicians treat these patients in advance, which will improve patient survival.
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Affiliation(s)
- Rui-Xin Deng
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Lu Zhu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ao-Bei Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yun He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Feng-Rong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Dong Mo
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiang-Yu Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Wei Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Huan Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yao Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Chen-Hua Yan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Jing-Zhi Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ting-Ting Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Yu-Hong Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Ying-Jun Chang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China; Collaborative Innovation Center of Hematology, Peking University, Beijing, China; Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, China; National Clinical Research Center for Hematologic Disease, Beijing, China.
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Wilcox NS, Rotz SJ, Mullen M, Song EJ, Hamilton BK, Moslehi J, Armenian S, Wu JC, Rhee JW, Ky B. Sex-Specific Cardiovascular Risks of Cancer and Its Therapies. Circ Res 2022; 130:632-651. [PMID: 35175846 PMCID: PMC8915444 DOI: 10.1161/circresaha.121.319901] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In both cardiovascular disease and cancer, there are established sex-based differences in prevalence and outcomes. Males and females may also differ in terms of risk of cardiotoxicity following cancer therapy, including heart failure, cardiomyopathy, atherosclerosis, thromboembolism, arrhythmias, and myocarditis. Here, we describe sex-based differences in the epidemiology and pathophysiology of cardiotoxicity associated with anthracyclines, hematopoietic stem cell transplant (HCT), hormone therapy and immune therapy. Relative to males, the risk of anthracycline-induced cardiotoxicity is higher in prepubertal females, lower in premenopausal females, and similar in postmenopausal females. For autologous hematopoietic cell transplant, several studies suggest an increased risk of late heart failure in female lymphoma patients, but sex-based differences have not been shown for allogeneic hematopoietic cell transplant. Hormone therapies including GnRH (gonadotropin-releasing hormone) modulators, androgen receptor antagonists, selective estrogen receptor modulators, and aromatase inhibitors are associated with cardiotoxicity, including arrhythmia and venous thromboembolism. However, sex-based differences have not yet been elucidated. Evaluation of sex differences in cardiotoxicity related to immune therapy is limited, in part, due to low participation of females in relevant clinical trials. However, some studies suggest that females are at increased risk of immune checkpoint inhibitor myocarditis, although this has not been consistently demonstrated. For each of the aforementioned cancer therapies, we consider sex-based differences according to cardiotoxicity management. We identify knowledge gaps to guide future mechanistic and prospective clinical studies. Furthering our understanding of sex-based differences in cancer therapy cardiotoxicity can advance the development of targeted preventive and therapeutic cardioprotective strategies.
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Affiliation(s)
- Nicholas S. Wilcox
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Seth J. Rotz
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Pediatric Hematology, Oncology, and Blood and Marrow Transplantation, Pediatric Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - McKay Mullen
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - Evelyn J. Song
- Division of Hospital Medicine, Department of Medicine, University of California, San Francisco, CA, USA
| | - Betty Ky Hamilton
- Department of Hematology and Oncology, Taussig Cancer Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Javid Moslehi
- Section of Cardio-Oncology & Immunology, Division of Cardiology and the Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Saro Armenian
- Department of Population Sciences, City of Hope Comprehensive Cancer Center; Duarte, CA, USA
| | - Joseph C. Wu
- Stanford Cardiovascular Institute, Stanford, CA, USA
| | - June Wha Rhee
- Department of Medicine, City of Hope Comprehensive Cancer Center; Duarte, CA, USA
| | - Bonnie Ky
- Division of Cardiology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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