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Zhou J, Xie M, Wu ZQ, Xu HG. Association of albumin to urea nitrogen ratio with 30-day mortality in adult hemophagocytic lymphohistiocytosis: a retrospective cohort study. Ann Hematol 2024:10.1007/s00277-024-06111-1. [PMID: 39604597 DOI: 10.1007/s00277-024-06111-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 11/19/2024] [Indexed: 11/29/2024]
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a severe disease with a grim prognosis. This study aims to investigate the potential role of albumin to urea nitrogen ratio (AUR) as a predictor of 30-day mortality in adult HLH patients. This retrospective analysis involved patients admitted to the hospital with a first-time diagnosis of HLH between January 2015 and September 2021. The primary outcome was defined as 30-day all-cause mortality. Patients were categorized as survivors and non-survivors, as well as test and validation cohorts. Clinical signs and laboratory biomarkers on admission were picked up. A total of 467 patients were included in the study, with a 30-day mortality rate of 31.0% (n = 145). There were no significant differences observed between the test and validation cohorts. Surviving patients exhibited significantly higher levels of AUR. Multivariate analysis indicated that an AUR < 3.40 was deemed to be an independent risk factor (test cohort: HR: 3.663, P < 0.001; validation cohort: 2.475, P = 0.013; total cohort: 2.976, P < 0.001). The area under the receiver operating characteristic curve (AUC) values were 0.734 in the test cohort, 0.690 in the validation cohort, and 0.711 in the total cohort. AUR emerged as an independent and reliable risk indicator for 30-day mortality in adults with HLH, offering clinicians a tool to identify high-risk patients efficiently.
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Affiliation(s)
- Jun Zhou
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Mengxiao Xie
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Zhi-Qi Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Hua-Guo Xu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China.
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China.
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Zhou J, Xie M, Dong N, Xie M, Liu J, Wang M, Wang Y, Xu HG. Machine Learning of Laboratory Data in Predicting 30-Day Mortality for Adult Hemophagocytic Lymphohistiocytosis. J Clin Immunol 2024; 45:12. [PMID: 39302504 DOI: 10.1007/s10875-024-01806-6] [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: 06/02/2024] [Accepted: 09/09/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND Hemophagocytic Lymphohistiocytosis (HLH) carries a high mortality rate. Current existing risk-evaluation methodologies fall short and improved predictive methods are needed. This study aimed to forecast 30-day mortality in adult HLH patients using 11 distinct machine learning (ML) algorithms. METHODS A retrospective analysis on 431 adult HLH patients from January 2015 to September 2021 was conducted. Feature selection was executed using the least absolute shrinkage and selection operator. We employed 11 ML algorithms to create prediction models. The area under the curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, F1 score, calibration curve and decision curve analysis were used to evaluate these models. We assessed feature importance using the SHapley Additive exPlanation (SHAP) approach. RESULTS Seven independent predictors emerged as the most valuable features. An AUC between 0.65 and 1.00 was noted among the eleven ML algorithms. The gradient boosting decision tree (GBDT) algorithms demonstrated the most optimal performance (1.00 in the training cohort and 0.80 in the validation cohort). By employing the SHAP method, we identified the variables that contributed to the model and their correlation with 30-day mortality. The AUC of the GBDT algorithms was the highest when using the top 4 (ferritin, UREA, age and thrombin time (TT)) features, reaching 0.99 in the training cohort and 0.83 in the validation cohort. Additionally, we developed a web-based calculator to estimate the risk of 30-day mortality. CONCLUSIONS With GBDT algorithms applied to laboratory data, accurate prediction of 30-day mortality is achievable. Integrating these algorithms into clinical practice could potentially improve 30-day outcomes.
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Affiliation(s)
- Jun Zhou
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Mengxiao Xie
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Ning Dong
- Department of Quality Management, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Mingjun Xie
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Jingping Liu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Min Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Yaman Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Hua-Guo Xu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China.
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Pei Y, Zhu J, Yao R, Cao L, Wang Z, Liang R, Jia Y, Su Y. Prognostic factors in patients with secondary hemophagocytic lymphohistioc ytosis in a Chinese cohort. Ann Hematol 2024; 103:695-703. [PMID: 38265737 DOI: 10.1007/s00277-023-05567-x] [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: 11/03/2023] [Accepted: 11/24/2023] [Indexed: 01/25/2024]
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a rare hyperinflammatory syndrome with high mortality mediated by an unbridled and persistent activation of cytotoxic T lymphocytes and natural killer cells. However, the influence factors of early death in adult sHLH patients are still not fully elucidated, which need further investigating. We have conducted an observational study of adult HLH patients between January 2016 and December 2022. All patients are enrolled according to HLH-2004 criteria. Clinical manifestations, laboratory data, treatments, and outcomes have been recorded. Influence factors associated with prognosis are calculated by using logistic regression models. Overall, 220 patients enrolled in this study. The etiologies of HLH were divided into five groups including autoimmune-associated hemophagocytic syndrome (AAHS) (n = 90, 40.9%), malignancies (n = 73, 33.2%), EBV-HLH (n = 18, 8.2%), infection excluded EBV (n = 24, 10.9%), and other triggers (n = 15, 6.8%). Among them, EBV-HLH had the highest mortality (77.8%), and AAHS had the lowest mortality (14.4%). Multivariate analysis indicated that age (≥ 38 years old), cytopenia ≥ 2 lines, platelets (≤ 50 × 109/L), aspartate aminotransferase (≥ 135U/L), prothrombin time (≥ 14.9 s) and activated partial thromboplastin time (≥ 38.5s), EBV, and fungal infection are independent risk factors for poor prognosis of HLH. Adult HLH patients with elder age, cytopenia ≥ 2 lines, levels of decreased platelets, increased AST, prolonged PT and APTT, EBV, and fungal infection tend to have a poor prognosis.
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Affiliation(s)
- Yuanyuan Pei
- Department of Emergency, Peking University People's Hospital, Beijing, China
| | - Jihong Zhu
- Department of Emergency, Peking University People's Hospital, Beijing, China
| | - Ranran Yao
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Lingjie Cao
- Department of Emergency, Peking University People's Hospital, Beijing, China
| | - Ziye Wang
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Renge Liang
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China
| | - Yuan Jia
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.
| | - Yin Su
- Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing, China.
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Feng C, Hua Z, He L, Yao S, Zou H, Zhu Y, Wang Z, Wang Y. A convenient and practical index for predicting the induction response in adult patients with hemophagocytic lymphohistiocytosis: ferritin/platelet ratio. Ann Hematol 2024; 103:715-723. [PMID: 38197929 PMCID: PMC10867095 DOI: 10.1007/s00277-023-05606-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/21/2023] [Indexed: 01/11/2024]
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is a hyperinflammatory syndrome with high mortality rate. The response to induction therapy is an important factor affecting survival. The purpose is to investigate laboratory predictors for induction response in adult patients with HLH, which are convenient, practical, and timeliness. Clinical data from January 2017 to December 2020 was retrospectively analyzed, and 269 patients were included. Patients were divided into remission and non-remission groups according to their induction response, 177 in the remission group, and 92 in the non-remission group. We reviewed general characteristics and analyzed the predictive value of serum ferritin, triglycerides, alanine aminotransferase (ALT), and blood cells before and 1-4 weeks after induction therapy for induction response by univariate analysis, ROC curves, etc. There was a correlation between serum ferritin, ALT, leukocytes, neutrophils, hemoglobin, platelets, and induction response (P < 0.05). Serum ferritin and platelets 1-4 weeks after induction therapy, respectively, might be a good predictor for induction response in adults with HLH, with AUC values close to or greater than 0.7. We established a new clinical model of the ferritin/platelet ratio. The results showed that the ferritin/platelet ratio at 1-4 weeks after induction therapy might be a practical index for predicting induction response, which significantly improved the area under the ROC curve (AUC > 0.75). Patients with a ferritin/platelet ratio > 16.08 at 2 weeks after induction therapy may have a relatively poor induction response. Ferritin/platelet ratio after induction therapy can be a good predictor for induction response in adult patients with HLH.
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Affiliation(s)
- Cuicui Feng
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
- Department of Hematology, Capital Medical University Affiliated Beijing Anzhen Hospital, Beijing, 100029, China
| | - Zhengjie Hua
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Lingbo He
- Department of General Medicine, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Shuyan Yao
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Heshan Zou
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Yingxin Zhu
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China
| | - Zhao Wang
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China.
| | - Yini Wang
- Department of Hematology, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China.
- Department of General Medicine, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, 100050, China.
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Thiebaut L, Pasquier G, Theret S, Russello J. [Hemophagocytic lymphohistiocytosis: A retrospective analysis of 66 patients]. Rev Med Interne 2024; 45:6-12. [PMID: 37932192 DOI: 10.1016/j.revmed.2023.10.440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/02/2023] [Accepted: 10/12/2023] [Indexed: 11/08/2023]
Abstract
CONTEXT Hemophagocytic lymphohistiocytosis is a rare syndrome with a poor prognosis, characterized by an uncontrolled dysregulation of the immune system. The rarity of this disease makes it difficult to obtain large cohorts. In this study, we analyzed the data of 66 patients: the objective was to describe the epidemiological, clinical, biological and therapeutic characteristics and to compare our results with those already published. METHODS We conducted a retrospective study at the University Hospital of Montpellier from 2015 to 2021. Patients were included when the diagnosis of HLH was mentioned on the hospitalization report and when the HSCORE was higher than 50% (169). Prognostic analyses were performed by comparing the patients who died from HMH to those who didn't. RESULTS The mean age the 66 patients included was 49.2 years, 62% were men. The percentage of deaths was 45.9%. Lymphoma was the main etiology, followed by infections, then autoimmune/autoinflammatory diseases. Fever, splenomegaly, hepatomegaly and organ failure were the main clinical manifestations. Pancytopenia was present in 62% of cases. Ferritin, triglycerides, LDH and AST were highly increased. Advanced age, associated lymphoma, and the severity of cytopenias were linked to a poor prognosis. DISCUSSION The study of the clinico-biological, epidemiological and survival data of the patients in our cohort allowed us to confirm previously published data but also to discuss some of them.
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Affiliation(s)
- L Thiebaut
- Laboratoire d'hématologie, CHU de Montpellier, 80, avenue Augustin-Fliche, 34090 Montpellier, France.
| | - G Pasquier
- Laboratoire de parasitologie-mycologie, CHU de Montpellier, 39, avenue Charles-Flahault, 34295 Montpellier, France
| | - S Theret
- Pharmacie hospitalière, CHU de Montpellier, 80, avenue Augustin-Fliche, 34090 Montpellier, France
| | - J Russello
- Laboratoire d'hématologie, CHU de Montpellier, 80, avenue Augustin-Fliche, 34090 Montpellier, France
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Qiu Q, Li D, Chen Y, Song Y, Lou S, Zhou K, Deng J. Clinical features and prognostic risk prediction of adult hemophagocytic lymphohistiocytosis: a 9-year retrospective study. Ann Hematol 2023; 102:2671-2682. [PMID: 37464139 DOI: 10.1007/s00277-023-05368-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
Hemophagocytic lymphohistiocytosis (HLH) has a low incidence and high mortality. In order to improve our understanding of the clinical features and prognostic risk factors of adult HLH, we analyzed the clinical characteristics and prognostic risk factors of adult HLH and developed a prognostic model to predict the overall survival (OS) of adult HLH. The clinical characteristics and survival statistics of adult patients with HLH identified at The Second Affiliated Hospital of Chongqing Medical University between February 2012 and October 2020 were retrospectively analyzed to constitute the primary cohort, while patients between 25 October 2020 and 20 March 2023 were collected at the same institution as a validation cohort for the prospective study. A total of 142 patients met the inclusion criteria, with 72 and 70 in the primary cohort and validation cohort respectively. In the primary cohort, the median OS was 102 days, with 37.5%, 34.5%, and 28.7% 1-, 2-, and 3-year OS, respectively. Univariate analysis showed that age, interleukin-10 (IL-10), interleukin-2 receptor (IL-2R), prothrombin time (PT), and indirect bilirubin (IBiL) were correlated with prognosis. Multivariate analysis showed that IL-10 and PT were independent factors affecting OS in adult patients with HLH. A prognostic model consisting of IL-2R, PT, and IL-10 and a corresponding prognostic nomogram were developed adopting the principle of minimum value of Akaike information criterion(AIC). The model has a high prediction accuracy letter (C-index = 0.708). The AUC values of 1-year, 2-year, and 3-year were 0.826, 0.865, and 0.882, correspondingly. In the validation cohort, all patients were divided into high-risk and low-risk groups, and the risk of death was significantly higher in the high-risk group than in the low-risk group (p < 0.01). The calibration curve for the model shows that the Nomogram constructed in this study is very reliable to predict the OS of HLH patients. IL-10 and PT have significant prognostic value in adult HLH. The prognostic model and the nomogram built in this study can forecast the OS of adult HLH patients.
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Affiliation(s)
- Qunxiang Qiu
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Dan Li
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Ying Chen
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Ying Song
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Shifeng Lou
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Kang Zhou
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
| | - Jianchuan Deng
- Department of Hematology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
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Shakoory B, Geerlinks A, Wilejto M, Kernan K, Hines M, Romano M, Piskin D, Ravelli A, Sinha R, Aletaha D, Allen C, Bassiri H, Behrens EM, Carcillo J, Carl L, Chatham W, Cohen JI, Cron RQ, Drewniak E, Grom AA, Henderson LA, Horne A, Jordan MB, Nichols KE, Schulert G, Vastert S, Demirkaya E, Goldbach-Mansky R, de Benedetti F, Marsh RA, Canna SW. The 2022 EULAR/ACR points to consider at the early stages of diagnosis and management of suspected haemophagocytic lymphohistiocytosis/macrophage activation syndrome (HLH/MAS). Ann Rheum Dis 2023; 82:1271-1285. [PMID: 37487610 PMCID: PMC11017727 DOI: 10.1136/ard-2023-224123] [Citation(s) in RCA: 56] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/27/2023] [Indexed: 07/26/2023]
Abstract
OBJECTIVE Haemophagocytic lymphohistiocytosis (HLH) and macrophage activation syndrome (MAS) are life-threatening systemic hyperinflammatory syndromes that can develop in most inflammatory contexts. They can progress rapidly, and early identification and management are critical for preventing organ failure and mortality. This effort aimed to develop evidence-based and consensus-based points to consider to assist clinicians in optimising decision-making in the early stages of diagnosis, treatment and monitoring of HLH/MAS. METHODS A multinational, multidisciplinary task force of physician experts, including adult and paediatric rheumatologists, haematologist/oncologists, immunologists, infectious disease specialists, intensivists, allied healthcare professionals and patients/parents, formulated relevant research questions and conducted a systematic literature review (SLR). Delphi methodology, informed by SLR results and questionnaires of experts, was used to generate statements aimed at assisting early decision-making and optimising the initial care of patients with HLH/MAS. RESULTS The task force developed 6 overarching statements and 24 specific points to consider relevant to early recognition of HLH/MAS, diagnostic approaches, initial management and monitoring of HLH/MAS. Major themes included the simultaneous need for prompt syndrome recognition, systematic evaluation of underlying contributors, early intervention targeting both hyperinflammation and likely contributors, careful monitoring for progression/complications and expert multidisciplinary assistance. CONCLUSION These 2022 EULAR/American College of Rheumatology points to consider provide up-to-date guidance, based on the best available published data and expert opinion. They are meant to help guide the initial evaluation, management and monitoring of patients with HLH/MAS in order to halt disease progression and prevent life-threatening immunopathology.
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Affiliation(s)
- Bita Shakoory
- Translational Autoinflammatory Diseases Section, National Institutes of Health, Bethesda, Maryland, USA
| | - Ashley Geerlinks
- Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
- Hematology/Oncology, University of Western Ontario Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - Marta Wilejto
- Hematology/Oncology, University of Western Ontario Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - Kate Kernan
- Pediatric Critical Care Medicine, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Melissa Hines
- Pediatric Critical Care Medicine, St Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Micol Romano
- Pediatrics, University of Western Ontario Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - David Piskin
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Department of Paediatrics, Lawson Health Research Institute, London, Ontario, Canada
| | - Angelo Ravelli
- Direzione Scientifica, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | | | - Daniel Aletaha
- Department of Rheumatology, Medical University of Vienna, Vienna, Austria
| | - Carl Allen
- Pediatric Oncology, Texas Children's Hospital, Houston, Texas, USA
| | - Hamid Bassiri
- Pediatric Infectious Diseases, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Edward M Behrens
- Pediatric Rheumatology, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Joseph Carcillo
- Pediatric Critical Care Medicine, Children's Hospital of Pittsburgh of University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Linda Carl
- Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Winn Chatham
- Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jeffrey I Cohen
- Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - Randy Q Cron
- Pediatric Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Erik Drewniak
- Autoinflammatory Alliance, San Francisco, California, USA
| | - Alexei A Grom
- Pediatric Rheumatology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Lauren A Henderson
- Pediatric Immunology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Annacarin Horne
- Department of Women's and Children's Health, Karolinska Institutet Cancerforskning KI, Stockholm, Sweden
| | - Michael B Jordan
- Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Kim E Nichols
- Division of Cancer Predisposition Department of Oncology, St Jude Children's Research Hospital Department of Oncology, Memphis, Tennessee, USA
| | - Grant Schulert
- Pediatric Rheumatology, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Sebastiaan Vastert
- Center for Translational Immunology Research, UMC Utrecht, The Netherlands
| | - Erkan Demirkaya
- Pediatrics, University of Western Ontario Schulich School of Medicine & Dentistry, London, Ontario, Canada
| | - Raphaela Goldbach-Mansky
- Translational Autoinflammatory Diseases Section, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Rebecca A Marsh
- Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children's Hospital Medical Center and University of Cincinnati, Cincinnati, Ohio, USA
| | - Scott W Canna
- Pediatric Rheumatology, Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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8
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Wang D, Tong X, Liu S, Zhang W, Wang L, Zhang S, Zhang T, Wang Q, Fan H. Clinical characteristics and risk factors for 90-day overall survival among 204 adult patients with secondary hemophagocytic lymphohistiocytosis: Experience from a single-center retrospective study. Front Med (Lausanne) 2022; 9:774959. [PMID: 36300188 PMCID: PMC9589347 DOI: 10.3389/fmed.2022.774959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 09/12/2022] [Indexed: 11/22/2022] Open
Abstract
Objectives To describe the clinical characteristics of secondary hemophagocytic lymphohistiocytosis (HLH) among adult patients, investigate its risk factors for 90-day overall survival (OS) from diagnosis, and establish a new prognostic model applicable to adult patients with secondary HLH. Methods We conducted a retrospective cohort study of 204 adult patients with secondary HLH, between January 2010 and December 2020. All patients met at least five HLH-2004 criteria. Clinical features, laboratory results, treatments, and clinical outcomes of the patients were reviewed. Prognostic factors associated with 90-day overall survival from diagnosis were screened using Cox proportional hazard models. Results The most common trigger was malignancy (61.3%). Multivariate analysis showed that age, coagulopathy, levels of hemoglobin, aspartate aminotransferase (AST), lactate dehydrogenase (LDH), creatinine, ferritin, and prothrombin time (PT) were independent prognostic factors for 90-day OS from the diagnosis of HLH. Based on the above risk factors, the patients were further divided into two groups: low-risk (≤4 risk factors) and high-risk (>4 risk factors), with overall 90-day survival rates of 82.7 and 28.1%, respectively (P < 0.001). Conclusion Patients with older age, coagulopathy, lower hemoglobin, and AST levels, elevated LDH, creatinine and ferritin levels, and prolonged PT tended to have a worse prognosis. Moreover, our prognostic model provides the possibility of forecasting the clinical outcome of adult secondary HLH patients, although a larger sample, multicenter, randomized controlled clinical study is needed to verify the accuracy of the prognostic model.
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Affiliation(s)
- Dongguang Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Xiang Tong
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Sitong Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Wentao Zhang
- College of Computer Science, Sichuan University, Chengdu, China
| | - Lian Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Shijie Zhang
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Tianli Zhang
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Qian Wang
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China
| | - Hong Fan
- Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China,*Correspondence: Hong Fan
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A Study on Early Death Prognosis Model in Adult Patients with Secondary Hemophagocytic Lymphohistiocytosis. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:6704859. [PMID: 35812895 PMCID: PMC9270127 DOI: 10.1155/2022/6704859] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 05/24/2022] [Accepted: 06/13/2022] [Indexed: 11/17/2022]
Abstract
Background The mortality risks for secondary hemophagocytic lymphohistiocytosis in the induction stage and investigated prognostic factors need to be further discussed. Objective The aim of this study is to establish a clinical model for predicting early death in adult patients with secondary hemophagocytic lymphohistiocytosis. Design, Participants, and Main Measures. The baseline characteristics, laboratory examination results, and 8-week survival rate of 139 adult sHLH patients diagnosed from January 2018 to December 2018 were analyzed retrospectively, and a prognostic model was constructed with low-risk (score 0–2), medium-risk (score 3), and high-risk (score ≥ 4) as parameters. Key Results. Univariate analysis confirmed that early death was not related to the type of HLH but significantly related to the patient's response to first-line treatment. The peripheral blood cell count was significantly decreased, C-reactive protein was higher, glutamyl transpeptidase and total bilirubin were higher, albumin was significantly lower, urea nitrogen was higher, hypocalcemia and hyponatremia, deep organ hemorrhage and D-dimer increased, cardiac function damage and HLH central involvement, sCD25 increased, and EB virus infection were predictive factors of early death. In the multivariate model, patients' response to first-line treatment was a good predictor of overall survival, and hypocalcemia and deep organ bleeding were associated with poor survival. The risk factors were scored and graded according to the risk ratio. The 8-week overall survival rates of the low-risk group (82 cases), medium-risk group (36 cases), and high-risk group (21 cases) were 85.4%, 52.8%, and 23.8%, respectively (P < 0.001). Conclusions The early death of sHLH patients is closely related to some laboratory examination results. Attention should be paid to identify high-risk patients, choose effective first-line induction therapy, achieve deep remission as soon as possible, prevent deep organ bleeding, correct electrolyte disorders, and improve the early survival rate of sHLH patients.
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10
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Shen Z, Jin Y, Sun Q, Zhang S, Chen X, Hu L, He C, Wang Y, Liu Q, Zhang H, Liu X, Wang L, Jiao J, Miao Y, Gu W, Wang F, Wang C, Shi Y, Ye J, Zhu T, Sun C, Song X, Xu L, Yan D, Sun H, Cao J, Li D, Li Z, Wang Z, Huang S, Xu K, Sang W. A Novel Prognostic Index Model for Adult Hemophagocytic Lymphohistiocytosis: A Multicenter Retrospective Analysis in China. Front Immunol 2022; 13:829878. [PMID: 35251016 PMCID: PMC8894441 DOI: 10.3389/fimmu.2022.829878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
Hemophagocytic lymphohistiocytosis (HLH) is an immune disorder with rapid progression and poor survival. Individual treatment strategy is restricted, due to the absence of precise stratification criteria. In this multicenter retrospective study, we aimed to develop a feasible prognostic model for adult HLH in China. A total of 270 newly diagnosed patients of adult HLH were retrieved from the Huaihai Lymphoma Working Group (HHLWG), of whom 184 from 5 medical centers served as derivation cohort, and 86 cases from 3 other centers served as validation cohort. X-Tile program and Maxstat analysis were used to identify optimal cutoff points of continuous variables; univariate and multivariate Cox analyses were used for variable selection, and the Kaplan–Meier curve was used to analyze the value of variables on prognosis. The C-index, Brier Score, and calibration curve were used for model validation. Multivariate analysis showed that age, creatinine, albumin, platelet, lymphocyte ratio, and alanine aminotransferase were independent prognostic factors. By rounding up the hazard ratios from 6 significant variables, a maximum of 9 points was assigned. The final scoring model of HHLWG-HPI was identified with four risk groups: low risk (≤3 pts), low-intermediate risk (4 pts), high-intermediate risk (5-6 pts), and high risk (≥7 pts), with 5-year overall survival rates of 68.5%, 35.2%, 21.3%, and 10.8%, respectively. The C-indexes were 0.796 and 0.758 in the derivation and validation cohorts by using a bootstrap resampling program. In conclusion, the HHLWG-HPI model provides a feasible and accurate stratification system for individualized treatment strategy in adult HLH.
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Affiliation(s)
- Ziyuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Yingliang Jin
- Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Qian Sun
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Shuo Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xi Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Lingling Hu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chenlu He
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Ying Wang
- Department of Personnel, Suqian First Hospital, Suqian, China
| | - Qinhua Liu
- Department of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hao Zhang
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, China
| | - Xin Liu
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, China
| | - Ling Wang
- Department of Hematology, Taian Central Hospital, Taian, China
| | - Jun Jiao
- Department of Hematology, Taian Central Hospital, Taian, China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People’s Hospital, Yancheng, China
| | - Weiying Gu
- Department of Hematology, The First People’s Hospital of Changzhou, Changzhou, China
| | - Fei Wang
- Department of Hematology, The First People’s Hospital of Changzhou, Changzhou, China
| | - Chunling Wang
- Department of Hematology, Huai’an First People’s Hospital, Huai’an, China
| | - Yuye Shi
- Department of Hematology, Huai’an First People’s Hospital, Huai’an, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, China
| | - Cai Sun
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Xuguang Song
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Linyan Xu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Dongmei Yan
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Haiying Sun
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jiang Cao
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Depeng Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhenyu Li
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhao Wang
- Department of Hematology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shuiping Huang
- Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
- *Correspondence: Wei Sang, ; Kailin Xu, ; Shuiping Huang,
| | - Kailin Xu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- *Correspondence: Wei Sang, ; Kailin Xu, ; Shuiping Huang,
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- *Correspondence: Wei Sang, ; Kailin Xu, ; Shuiping Huang,
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Shen Z, Zhang S, Zhang M, Hu L, Sun Q, He C, Yan D, Ye J, Zhang H, Wang L, Gu W, Miao Y, Liu Q, Ouyang C, Zhu J, Wang C, Zhu T, Huang S, Sang W. The Addition of Ferritin Enhanced the Prognostic Value of International Prognostic Index in Diffuse Large B‐Cell Lymphoma. Front Oncol 2022; 11:823079. [PMID: 35127536 PMCID: PMC8807645 DOI: 10.3389/fonc.2021.823079] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous non-Hodgkin lymphoma, and the prognosis of DLBCL patients is widely affected by multivariables. Clinical-factors-based prognostic systems stratify the prognosis of DLBCL with certain limitations, and the value of ferritin on the prognosis of DLBCL is unclear. In this study, 225 cases were retrieved from 4 centers of Huaihai Lymphoma Working Group (HHLWG) as the derivation cohort, and 66 cases were from the other 6 centers of HHLWG as external validation cohort. X-Tile program divided ferritin into three groups when applying 175.00 and 391.90 μg/L as the optimal cutoff points. Based on multivariable analysis, ferritin appeared to be a stronger predictor. A total of three variables (ferritin, age, and lactate dehydrogenase) were included for the development of the nomogram. The C-indexes were 0.73 and 0.70 in the derivation and validation cohort, and the calibration curve showed the consistency between the nomogram prediction and the actual observation. In conclusion, Ferritin-based nomogram enhanced the prognostic value of IPI in DLBCL.
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Affiliation(s)
- Ziyuan Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Shuo Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Meng Zhang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Lingling Hu
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Qian Sun
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Chenlu He
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Dongmei Yan
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jingjing Ye
- Department of Hematology, Qilu Hospital of Shandong University, Jinan, China
| | - Hao Zhang
- Department of Hematology, The Affiliated Hospital of Jining Medical University, Jining, China
| | - Ling Wang
- Department of Hematology, Taian Central Hospital, Taian, China
| | - Weiying Gu
- Department of Hematology, The First People’s Hospital of Changzhou, Changzhou, China
| | - Yuqing Miao
- Department of Hematology, Yancheng First People’s Hospital, Yancheng, China
| | - Qinhua Liu
- Department of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Changli Ouyang
- Department of Nuclear Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Junfeng Zhu
- Department of Hematology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Chunling Wang
- Department of Hematology, Huai’an First People’s Hospital, Huaian, China
| | - Taigang Zhu
- Department of Hematology, The General Hospital of Wanbei Coal-Electric Group, Suzhou, China
| | - Shuiping Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, China
- Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China
| | - Wei Sang
- Department of Hematology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- *Correspondence: Wei Sang,
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Yang X, Liu J, Lu X, Kan Y, Wang W, Zhang S, Liu L, Zhang H, Li J, Yang J. Development and Validation of a Nomogram Based on 18F-FDG PET/CT Radiomics to Predict the Overall Survival in Adult Hemophagocytic Lymphohistiocytosis. Front Med (Lausanne) 2021; 8:792677. [PMID: 35004761 PMCID: PMC8740551 DOI: 10.3389/fmed.2021.792677] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: Hemophagocytic lymphohistiocytosis (HLH) is a rare and severe disease with a poor prognosis. We aimed to determine if 18F-fluorodeoxyglucose (18F-FDG) PET/CT-derived radiomic features alone or combination with clinical parameters could predict survival in adult HLH. Methods: This study included 70 adults with HLH (training cohort, n = 50; validation cohort, n = 20) who underwent pretherapeutic 18F-FDG PET/CT scans between August 2016 and June 2020. Radiomic features were extracted from the liver and spleen on CT and PET images. For evaluation of 6-month survival, the features exhibiting p < 0.1 in the univariate analysis between non-survivors and survivors were selected. The least absolute shrinkage and selection operator (LASSO) regression analysis was used to develop a radiomics score (Rad-score). A nomogram was built by the multivariate regression analysis to visualize the predictive model for 3-month, 6-month, and 1-year survival, while the performance and usefulness of the model were evaluated by calibration curves, the receiver operating characteristic (ROC) curves, and decision curves. Results: The Rad-score was able to predict 6-month survival in adult HLH, with area under the ROC curves (AUCs) of 0.927 (95% CI: 0.878–0.974) and 0.869 (95% CI: 0.697–1.000) in the training and validation cohorts, respectively. The radiomics nomogram combining the Rad-score with the clinical parameters resulted in better performance for predicting 6-month survival than the clinical model or the Rad-score alone. Moreover, the nomogram displayed superior discrimination, calibration, and clinical usefulness in both the cohorts. Conclusion: The newly developed Rad-score is a powerful predictor for overall survival (OS) in adults with HLH. The nomogram has great potential for predicting 3-month, 6-month, and 1-year survival, which may timely guide personalized treatments for adult HLH.
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Affiliation(s)
- Xu Yang
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jun Liu
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Xia Lu
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ying Kan
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Shuxin Zhang
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Lei Liu
- Sinounion Medical Technology (Beijing) Co., Ltd., Beijing, China
| | - Hui Zhang
- Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
| | - Jixia Li
- Department of Laboratory Medicine, School of Medicine, Foshan University, Foshan, China
- Department of Molecular Medicine and Pathology, School of Medical Science, The University of Auckland, Auckland, New Zealand
- Jixia Li
| | - Jigang Yang
- Department of Nuclear Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jigang Yang
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Lin CH, Shih YH, Chen TC, Chou CW, Hsu CY, Teng CLJ. A Decade of Lymphoma-Associated Hemophagocytic Lymphohistiocytosis: Does the Outcome Improve? J Clin Med 2021; 10:jcm10215114. [PMID: 34768633 PMCID: PMC8584765 DOI: 10.3390/jcm10215114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 10/29/2021] [Accepted: 10/29/2021] [Indexed: 11/30/2022] Open
Abstract
To investigate the potential treatment evolution and outcome improvement, we retrospectively compared clinical characteristics, therapeutic strategies, treatment responses, and overall survival (OS) in patients diagnosed and treated with lymphoma-associated HLH between 2004–2012 (n = 30) and 2013–2021 (n = 26). Our study showed that the clinical characteristics of lymphoma-associated HLH did not substantially change over the past two decades. However, more patients diagnosed in 2013–2021 were tested for Epstein–Barr virus than those diagnosed in 2004–2012 (69.3% vs. 33.3%; p = 0.021). In addition, Eastern Cooperative Oncology Group performance status 3–4 (hazard ratio (HR): 5.38; 95% confidence intervals (CI): 2.49–11.61; p < 0.001) and jaundice (HR: 2.91; 95% CI: 1.37–6.18; p = 0.006) were poor prognostic factors for lymphoma-associated HLH. With a comparable response rate of lymphoma treatment, patients treated in 2013–2021 had a numerically greater median OS than those treated in 2004–2012 (23.6 ± 19.8 vs. 9.7 ± 4.5 months). However, the difference was not statistically significant (p = 0.334). In conclusion, early diagnosis and tailored treatments that balance efficacy and adverse events remain the key to obtaining a better outcome in lymphoma-associated HLH.
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Affiliation(s)
- Cheng-Hsien Lin
- Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (C.-H.L.); (Y.-H.S.); (T.-C.C.); (C.-W.C.)
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
| | - Yu-Hsuan Shih
- Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (C.-H.L.); (Y.-H.S.); (T.-C.C.); (C.-W.C.)
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
| | - Tsung-Chih Chen
- Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (C.-H.L.); (Y.-H.S.); (T.-C.C.); (C.-W.C.)
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100233, Taiwan
| | - Cheng-Wei Chou
- Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (C.-H.L.); (Y.-H.S.); (T.-C.C.); (C.-W.C.)
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
| | - Chiann-Yi Hsu
- Biostatistics Task Force, Taichung Veterans General Hospital, Taicung 40705, Taiwan;
| | - Chieh-Lin Jerry Teng
- Division of Hematology/Medical Oncology, Department of Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (C.-H.L.); (Y.-H.S.); (T.-C.C.); (C.-W.C.)
- College of Medicine, National Chung Hsing University, Taichung 402202, Taiwan
- Department of Life Science, Tunghai University, Taichung 407224, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
- Correspondence:
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Wang M, Luo L, Xia X, Jiang J, Zhang L, Ge G, Dong N. A simple model predicting in-hospital death in patients with type A acute aortic dissection. Perfusion 2021; 37:847-851. [PMID: 34219547 DOI: 10.1177/02676591211029762] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Type A acute aortic dissection (TAAAD) is a destructive cardiovascular disease, with high morbidity and mortality rates. Identifying the high-risk TAAAD patients at an early stage is urgently necessary. METHODS A retrospective study of 160 patients was carried out. The admission data were retrospectively gathered. Logistic regression analysis and receiver operator characteristic curve (AUC) was utilized. RESULTS Compared with the survivor group, the nonsurvivor group was older, had higher D-dimer levels, red blood cell distribution width (RDW) levels and platelet distribution width (PDW) levels, and lower fibrinogen levels, platelet levels and plateletcrit levels. Multivariate analysis displayed that four independent factors, age (hazard ratio (HR): 7.877, 95% confidence interval (CI) 2.740-22.641, p < 0.001), D-dimer (HR: 3.791, 95% CI 1.520-9.452, p = 0.004), RDW (HR: 3.300, 95% CI 1.109-9.825, p = 0.032), PDW (HR: 3.755, 95% CI 1.436-9.815, p = 0.007) were incorporated into the model. The predict accuracy of the model (AUC 0.861, 95% CI 0.798-0.911, p < 0.001) was best. CONCLUSIONS Age, D-dimer, RDW and PDW are independent markers of in-hospital death in TAAAD patients and the newly established model has better performance in predicting high-risk patients. This model can be used as a quick screening tool to assess the prognosis of patients in individualizing.
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Affiliation(s)
- Min Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Liyan Luo
- Intensive Care Unit, Nanjing Gulou Yi Yuan: Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, Jiangsu, China
| | - Xiaohong Xia
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiahong Jiang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Litao Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Gaoxia Ge
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ning Dong
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
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Aksionau A, Wei EX. Accuracy of the criteria for hemophagocytic lymphohistiocytosis. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2020; 13:3139-3148. [PMID: 33425114 PMCID: PMC7791368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 10/18/2020] [Indexed: 06/12/2023]
Abstract
Hemophagocytic lymphohistiocytosis, also known as a hemophagocytic syndrome, is a life-threatening condition that can develop in critically ill patients with malignancies, severe infections, during chemotherapy, and may be associated with currently known or unknown genetic abnormalities; however, this list of potential causes can be extensive. The purpose of this study is to draw attention to the accuracy of its diagnostic criteria, association with a variety of clinical conditions, pathophysiological mechanisms, and outcomes of the diseases. From the medical records in our hospital, we retrospectively extracted 13 cases with hemophagocytosis over a 10-year period. Subsequently, we thoroughly analyzed medical records for the criteria used, the time required for making a diagnosis, adequacy of the criteria, management, and outcomes. We found that not all criteria were used for diagnosis, and the most sensitive and specific tests (genetic study, ferritin, and soluble IL-2r levels) were sometimes bypassed. Late diagnosis delayed management of some patients. Only a few treatment options were used for patient care. The hemophagocytic syndrome is a very rare and fatal entity requiring highly sensitive and specific diagnostic criteria for prompt diagnosis, targeted management, and thorough follow-up. Every patient admitted to the hospital with life-threatening conditions should be suspected and tested for the hemophagocytic syndrome as early as possible. The criteria for hemophagocytic lymphohistiocytosis should be revised, with the most sensitive and specific ones being done in all cases. Subsequently, each patient should be tested for the presence of genetic abnormalities that correlate with the syndrome.
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Affiliation(s)
- Aliaksandr Aksionau
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Science Center Shreveport Shreveport, LA, USA
| | - Eric X Wei
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Science Center Shreveport Shreveport, LA, USA
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