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Gao H, Xu Y, Liu Y, Mi L, Wang X, Liu W, Zhu J, Song Y. A Comparison of Clinical Prognostic Indices in Elderly Patients with Diffuse Large B-Cell Lymphoma Treated with a Pegylated Liposomal Doxorubicin Combination Regimen in China. Cancer Manag Res 2022; 14:2711-2721. [PMID: 36133738 PMCID: PMC9482890 DOI: 10.2147/cmar.s359956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 09/01/2022] [Indexed: 11/23/2022] Open
Abstract
Background There is no consensus regarding the risk stratification scores for elderly patients with diffuse large B-cell lymphoma (DLBCL). We aimed to compare the prognostic predictive ability of the current clinical scoring indices in DLBCL elderly patients treated with the R-CODP regimen (rituximab, cyclophosphamide, pegylated liposomal doxorubicin, vincristine, and prednisone). Methods We retrospectively collected the data of elderly DLBCL patients who received the R-CODP regimen as the first-line treatment. The efficacy of the regimen was evaluated. The Akaike information criteria (AIC), concordance index (C-index), and integrated discrimination improvement (IDI) were used to assess the fitness and prognostic performance of the current clinical prognostic indices. Results In the total of 158 patients enrolled, the median follow-up time was 6.7 years (95% CI: 6.3–7.9), and the 5-year OS was 52.8% (95% CI: 45.5%–61.2%). The International Prognostic Index (IPI), National Comprehensive Cancer Network-IPI (NCCN-IPI), and Elderly International Prognostic Index (E-IPI) were all significantly associated with OS (P < 0.001 for all). However, no significance was observed in 5-year OS in the low- vs low-intermediate-risk groups for IPI (P = 0.377), NCCN-IPI (P = 0.238), and E-IPI (P = 0.080). Compared with the IPI and NCCN-IPI, the E-IPI had the lowest AIC value of 747.5 and the highest C-index of 0.692. For predicting 5-year mortality, the E-IPI showed better performance (AUC: 0.715 for E-IPI vs 0.676 for IPI, P = 0.036), with the IDI of 6.29% (95% CI: 3.71%-8.88%, P < 0.001) and 4.80% (95% CI: 1.32%-8.28%, P = 0.007) compared to the IPI and NCCN-IPI, respectively. Conclusion The E-IPI might be a better prognostic prediction model in Chinese DLBCL generics treated with R-CODP for predicting 5-year mortality. However, the IPI, NCCN-IPI, and E-IPI did not seem to be able to distinguish patients with a favorable prognosis well.
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Affiliation(s)
- Hongye Gao
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yanfeng Xu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yanfei Liu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Lan Mi
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Xiaopei Wang
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Weiping Liu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Jun Zhu
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yuqin Song
- Department of Lymphoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
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Abstract
Vasopressin (AVP) and copeptin are released in equimolar amounts from the same precursor. Due to its molecular stability and countless advantages as compared with AVP, copeptin perfectly mirrors AVP presence and has progressively emerged as a reliable marker of vasopressinergic activation in response to osmotic and hemodynamic stimuli in clinical practice. Moreover, evidence highlighting the prognostic potential of copeptin in several acute diseases, where the activation of the AVP system is primarily linked to stress, as well as in psychologically stressful conditions, has progressively emerged. Furthermore, organic stressors induce a rise in copeptin levels which, although non-specific, is unrelated to plasma osmolality but proportional to their magnitude: suggesting disease severity, copeptin proved to be a reliable prognostic biomarker in acute conditions, such as sepsis, early post-surgical period, cardiovascular, cerebrovascular or pulmonary diseases, and even in critical settings. Evidence on this topic will be briefly discussed in this article.
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Pennati F, Walkup LL, Chhabra A, Towe C, Myers K, Aliverti A, Woods JC. Quantitative inspiratory-expiratory chest CT to evaluate pulmonary involvement in pediatric hematopoietic stem-cell transplantation patients. Pediatr Pulmonol 2021; 56:1026-1035. [PMID: 33314762 PMCID: PMC8721603 DOI: 10.1002/ppul.25223] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 11/11/2020] [Accepted: 12/06/2020] [Indexed: 12/18/2022]
Abstract
Pulmonary complications following allogeneic hematopoietic stem-cell transplantation (HSCT) are a significant source of morbidity and complications may arise from a myriad of infectious and noninfectious sources. These complications may occur soon or many months post-transplantation and can have a broad range of outcomes. Surveillance for pulmonary involvement in the pediatric HSCT population can be challenging due to poor compliance with clinical pulmonary function testing, primarily spirometry, and there may be a role for clinical imaging to provide an additional means of monitoring, particularly in the era of clinical low-dose computed tomography (CT) protocols. In this single-site, retrospective study, a review of our institution's radiological and HSCT databases was conducted to assess the utility of a quantitative CT algorithm to describe ventilation abnormalities on high-resolution chest CT scans of pediatric HSCT patients. Thirteen non-contrast enhanced chest CT examinations acquired both in inspiration and expiration, from 12 deceased HSCT patients (median age at HSCT 10.4 years, median days of CT 162) were selected for the analysis. Also, seven age-matched healthy controls (median age 15.5) with non-contrast-enhanced inspiration-expiration chest CT were selected for comparison. We report that, compared to healthy age-matched controls, HSCT patients had larger percentages of poorly ventilated (median, 13.5% vs. 2.3%, p < .001) and air trapped (median 12.3% vs. 0%, p < .001) regions of lung tissue, suggesting its utility as a potential screening tool. Furthermore, there was wide variation within individual HSCT patients, supporting the use of multivolume CT and quantitative analysis to describe and phenotype post-transplantation lung involvement.
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Affiliation(s)
- Francesca Pennati
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy
| | - Laura L Walkup
- Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Anuj Chhabra
- College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Christopher Towe
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Kasiani Myers
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA.,Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Andrea Aliverti
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy
| | - Jason C Woods
- Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
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