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Zhang AB, Wang CC, Zhao P, Tong KT, He Y, Zhu XL, Fu HX, Wang FR, Mo XD, Wang Y, Zhao XY, Zhang YY, Han W, Chen H, Chen Y, Yan CH, Wang JZ, Han TT, Sun YQ, Chen YH, Chang YJ, Xu LP, Liu KY, Huang XJ, Zhang XH. A Prognostic Model Based on Clinical Biomarkers for Heart Failure in Adult Patients Following Allogeneic Hematopoietic Stem Cell Transplantation. Transplant Cell Ther 2023; 29:240.e1-240.e10. [PMID: 36634739 DOI: 10.1016/j.jtct.2022.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/05/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023]
Abstract
Heart failure (HF) is an uncommon but serious cardiovascular complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Unfortunately, knowledge about early mortality prognostic factors in patients with HF after allo-HSCT is limited, and an easy-to-use prognostic model is not available. This study aimed to develop and validate a clinical-biomarker prognostic model capable of predicting HF mortality following allo-HSCT that uses a combination of variables readily available in clinical practice. To investigate this issue, we conducted a retrospective analysis at our center with 154 HF patients who underwent allo-HSCT between 2008 and 2021. The patients were separated according to the time of transplantation, with 100 patients composing the derivation cohort and the other 54 patients composing the external validation cohort. We first calculated the univariable association for each variable with 2-month mortality in the derivation cohort. We then included the variables with a P value <.1 in univariate analysis as candidate predictors in the multivariate analysis using a backward stepwise logistic regression model. Variables remaining in the final model were identified as independent prognostic factors. To predict the prognosis of HF, a scoring system was established, and scores were assigned to the prognostic factors based on the regression coefficient. Finally, 4 strongly significant independent prognostic factors for 2-month mortality from HF were identified using multivariable logistic regression methods with stepwise variable selection: pulmonary infection (P = .005), grade III to IV acute graft-versus-host disease (severe aGVHD; P = .033), lactate dehydrogenase (LDH) >426 U/L (P = .049), and brain natriuretic peptide (BNP) >1799 pg/mL (P = .026). A risk grading model termed the BLIPS score (for BNP, LDH, cardiac troponin I, pulmonary infection, and severe aGVHD) was constructed according to the regression coefficients. The validated internal C-statistic was .870 (95% confidence interval [CI], .798 to .942), and the external C-statistic was .882 (95% CI, .791-.973). According to the calibration plots, the model-predicted probability correlated well with the actual observed frequencies. The clinical use of the prognostic model, according to decision curve analysis, could benefit HF patients. The BLIPS model in our study can serve to identify HF patients at higher risk for mortality early, which might aid designing timely targeted therapies and eventually improving patients' survival and prognosis.
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Affiliation(s)
- Ao-Bei Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Cong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Peng Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ke-Ting Tong
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yun He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Lu Zhu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Feng-Rong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Dong Mo
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiang-Yu Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Wei Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Huan Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yao Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Hua Yan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Jing-Zhi Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ting-Ting Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu-Qian Sun
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu-Hong Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ying-Jun Chang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Kai-Yan Liu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
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Cardiotoxicity - the first cause of morbidity and mortality in pediatric patients survivors of acute lymphoblastic leukemia. REV ROMANA MED LAB 2020. [DOI: 10.2478/rrlm-2020-0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Abstract
Acute lymphoblastic leukemia is the most common hematological malignancy at pediatric age. Cardiotoxicity holds the first place among the causes of morbidity and mortality in these patients. Anthracyclines are cytostatic drugs frequently associated with cardiotoxicity. Early diagnosis of cardiac impairment during the treatment of pediatric patients is extremely important, both for modulating future chemotherapy and for administering cardioprotective agents. Long term monitoring after chemotherapy helps to identify the risk of late cardiotoxicity among cancer survivors. There are several biomarkers, already in use or still under study, which may represent an operator-independent alternative for echocardiography in the diagnosis of cardiotoxicity. In case of cardiac damage, the clinician has options for treating or limiting the progression, either with the use of already approved agents, such as Dexrazoxane, or by administrating other cardioprotective drugs. International experts are still attempting to establish the best algorithm for early detection of cardiotoxicity, as well as the most efficient treatment plan in case of already existing myocardial damage in these patients. We present a review on treatment-related cardiotoxicity, including mechanisms of development, useful biomarkers and treatment options, after carefully analyzing specialty literature.
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Rotz SJ, Ryan TD, Hlavaty J, George SA, El-Bietar J, Dandoy CE. Cardiotoxicity and cardiomyopathy in children and young adult survivors of hematopoietic stem cell transplant. Pediatr Blood Cancer 2017; 64. [PMID: 28453909 DOI: 10.1002/pbc.26600] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 02/26/2017] [Accepted: 03/21/2017] [Indexed: 01/23/2023]
Abstract
Cardiomyopathy is common in long-term survivors of pediatric hematopoietic stem cell transplant (HSCT). Events occurring before and after HSCT when combined with specific insults during HSCT likely contribute to long-term risk. Strategies for detecting subclinical cardiomyopathy prior to patients developing overt heart failure are under investigation. Changes in HSCT preparative regimens and cardioprotective medications administered during chemotherapy may alter the risk for cardiomyopathy. Interventions in long-term survivors such as lifestyle modification and cardioactive medications are of increasing importance. Herein we review the causes of cardiac injury, discuss strategies for detection of cardiomyopathy, and evaluate therapeutic options for long-term HSCT survivors.
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Affiliation(s)
- Seth J Rotz
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Thomas D Ryan
- Division of Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Joel Hlavaty
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Stephen A George
- Division of Cardiology, University of Minnesota, Minneapolis, Minnesota
| | - Javier El-Bietar
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Christopher E Dandoy
- Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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Jia K, Shi P, Han X, Chen T, Tang H, Wang J. Diagnostic value of miR-30d-5p and miR-125b-5p in acute myocardial infarction. Mol Med Rep 2016; 14:184-94. [PMID: 27176713 PMCID: PMC4918561 DOI: 10.3892/mmr.2016.5246] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 02/02/2016] [Indexed: 11/18/2022] Open
Abstract
Rapid and accurate differential diagnosis of acute myocardial infarction (AMI) is crucial for timely interventions and the improvement of prognosis. However, this is difficult to achieve using current methods. Therefore, the present study aimed to evaluate the suitability of circulating microRNAs (miRNAs) as AMI biomarkers in patients with acute coronary syndrome (ACS). miRNA profiling in plasma samples from patients with AMI (n=3) and healthy controls (n=3) was performed using microarrays. Results were then validated in five patients and five healthy controls. miRNA-125b-5p and miR-30d-5p expression levels were quantified in plasma samples from 230 patients with ACS and 79 healthy controls using reverse transcription-quantitative polymerase chain reaction. Routine diagnostic parameters were assessed, including creatinine kinase MB, cardiac troponin I (cTnI) and myoglobin. A total of 33 miRNAs were differentially expressed in patients with AMI and healthy controls. Following validation based on the previously established roles for these miRNAs, six miRNAs were validated. miR-125b-5p and miR-30d-5p were selected for further investigation. Expression levels of miR-125b-5p and miR-30d-5p in plasma were higher in patients with ACS compared with the healthy controls (P<0.001). Receiver operating characteristic curve analysis revealed that the area under the curve of miR-30d-5p was higher than that of cTnI (0.915 and 0.899). miR-125b-5p (sensitivity, 0.808; specificity, 0.845) and miR-30d-5p (sensitivity, 0.855; specificity, 0.810) were suitable diagnostic predictors of AMI. Kaplan-Meier survival analysis indicated that miR-125b-5p levels were associated with 6 month cardiovascular events in patients with AMI, but not miR-30d-5p. miR-125b-5p and miR-30d-5p presented a diagnostic value for early diagnosis of AMI, and miR-30d-5p may have a higher diagnostic value than cTnI.
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Affiliation(s)
- Kegang Jia
- Department of Clinical Laboratory, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
| | - Ping Shi
- Department of Clinical Laboratory, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
| | - Xuejing Han
- Department of Clinical Laboratory, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
| | - Tienan Chen
- Department of Cardiovascular Surgery, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
| | - Hongxia Tang
- Department of Clinical Laboratory, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
| | - Jing Wang
- Department of Clinical Laboratory, TEDA International Cardiovascular Hospital, Tianjin 300457, P.R. China
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