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Boldingh JWHL, Arbous MS, Biemond BJ, Blijlevens NMA, van Bommel J, Hilkens MGEC, Kusadasi N, Muller MCA, de Vries VA, Steyerberg EW, van den Bergh WM. Development and Validation of a Prediction Model for 1-Year Mortality in Patients With a Hematologic Malignancy Admitted to the ICU. Crit Care Explor 2024; 6:e1093. [PMID: 38813435 PMCID: PMC11132307 DOI: 10.1097/cce.0000000000001093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024] Open
Abstract
OBJECTIVES To develop and validate a prediction model for 1-year mortality in patients with a hematologic malignancy acutely admitted to the ICU. DESIGN A retrospective cohort study. SETTING Five university hospitals in the Netherlands between 2002 and 2015. PATIENTS A total of 1097 consecutive patients with a hematologic malignancy were acutely admitted to the ICU for at least 24 h. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We created a 13-variable model from 22 potential predictors. Key predictors included active disease, age, previous hematopoietic stem cell transplantation, mechanical ventilation, lowest platelet count, acute kidney injury, maximum heart rate, and type of malignancy. A bootstrap procedure reduced overfitting and improved the model's generalizability. This involved estimating the optimism in the initial model and shrinking the regression coefficients accordingly in the final model. We assessed performance using internal-external cross-validation by center and compared it with the Acute Physiology and Chronic Health Evaluation II model. Additionally, we evaluated clinical usefulness through decision curve analysis. The overall 1-year mortality rate observed in the study was 62% (95% CI, 59-65). Our 13-variable prediction model demonstrated acceptable calibration and discrimination at internal-external validation across centers (C-statistic 0.70; 95% CI, 0.63-0.77), outperforming the Acute Physiology and Chronic Health Evaluation II model (C-statistic 0.61; 95% CI, 0.57-0.65). Decision curve analysis indicated overall net benefit within a clinically relevant threshold probability range of 60-100% predicted 1-year mortality. CONCLUSIONS Our newly developed 13-variable prediction model predicts 1-year mortality in hematologic malignancy patients admitted to the ICU more accurately than the Acute Physiology and Chronic Health Evaluation II model. This model may aid in shared decision-making regarding the continuation of ICU care and end-of-life considerations.
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Affiliation(s)
- Jan-Willem H L Boldingh
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Anaesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M Sesmu Arbous
- Department of Critical Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Bart J Biemond
- Department of Hematology, Amsterdam University Medical Center (location AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Nicole M A Blijlevens
- Department of Hematology, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Jasper van Bommel
- Department of Critical Care, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Murielle G E C Hilkens
- Department of Critical Care, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
| | - Nuray Kusadasi
- Department of Critical Care, Erasmus Medical Center, Rotterdam, The Netherlands
- University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marcella C A Muller
- Department of Critical Care, Amsterdam University Medical Center (location AMC), University of Amsterdam, Amsterdam, The Netherlands
| | - Vera A de Vries
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Walter M van den Bergh
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Wu P, Huo W, Zhao H, Lv J, Lv S, An Y. Risk factors and predictive model for mortality in patients undergoing allogeneic hematopoietic stem cell transplantation admitted to the intensive care unit. Exp Ther Med 2024; 27:168. [PMID: 38476903 PMCID: PMC10928819 DOI: 10.3892/etm.2024.12457] [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: 11/14/2023] [Accepted: 01/26/2024] [Indexed: 03/14/2024] Open
Abstract
Hematological malignant tumors represent a group of major diseases carrying a substantial risk to the lives of affected patients. Risk factors for mortality in critically ill patients have garnered substantial attention in recent research endeavors. The present research aimed to identify factors predicting intensive care unit (ICU) mortality in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT). Furthermore, the present study analyzed and compared the mortality rate between patients undergoing haploidentical hematopoietic stem cell transplantation (Haplo-SCT) and those undergoing identical sibling donor (ISD) transplantation. A total of 108 patients were included in the present research, 83 (76.9%) of whom underwent Haplo-SCT. ICU mortality was reported in 58 (53.7%) patients, with the values of 55.4 and 48.0% associated with Haplo-SCT and ISD, respectively (P=0.514). The mortality rate of patients undergoing Haplo-SCT was comparable to that of patients undergoing ISD transplantation. The present study found that reduced hemoglobin, elevated total bilirubin, elevated brain natriuretic peptide, elevated fibrinogen degradation products, need for vasoactive drugs at ICU admission, need for invasive mechanical ventilation and elevated APACHE II scores were independent risk factors for ICU mortality. Among patients presenting with 5-7 risk factors, the ICU mortality reached 100%, significantly exceeding that of other patients. The present research revealed that ICU mortality rates remain elevated among patients who underwent allo-HSCT, especially those presenting multiple risk factors. However, the outcome of patients undergoing Haplo-SCT were comparable to those of patients undergoing ISD transplants.
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Affiliation(s)
- Peihua Wu
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing 100044, P.R. China
| | - Wenxuan Huo
- Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Peking University People's Hospital, Beijing 100044, P.R. China
| | - Huiying Zhao
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing 100044, P.R. China
| | - Jie Lv
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing 100044, P.R. China
| | - Shan Lv
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing 100044, P.R. China
| | - Youzhong An
- Department of Critical Care Medicine, Peking University People's Hospital, Beijing 100044, P.R. China
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Wu PH, Huo WX, Mo XD, Wang Y, Yan CH, Jiang H, Shen MZ, Huang XJ, An YZ. Prognostic factors for patients with hematologic malignancies admitted to the intensive care unit: is allogeneic transplantation still a risk factor? Ann Hematol 2023; 102:907-916. [PMID: 36757444 DOI: 10.1007/s00277-023-05118-4] [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: 09/12/2022] [Accepted: 01/29/2023] [Indexed: 02/10/2023]
Abstract
The rate of intensive care unit (ICU) mortality in patients with hematologic malignancies is high. The risk factors for this were inconsistent across several previous studies, and there is currently no accepted consensus around risk factors for these patients. We aimed to identify which prognostic factors were associated with ICU mortality in critically ill patients with hematologic malignancies, nearly half of which were allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. In addition, we aimed to compare the characteristics and clinical outcomes of patients with and without allogenic allo-HSCT. In total, 217 patients with hematologic malignancies were enrolled consecutive, 119 (54.8%) of whom underwent HSCT (allo-HSCT: n = 115). All survivors were followed up with until August 1, 2022. The rate of ICU mortality in this cohort was 54.4%: 55.5 and 53.1% for the patients with and without HSCT, respectively (p = 0.724). The probabilities of survival after ICU admission were also comparable between the patients who had allo-HSCT and those who did not. A multivariable analysis revealed that cerebrovascular disease, hyperlactic acidemia on the day of ICU admission, lower platelet count, use of vasoactive drugs, and absence of noninvasive ventilation on the day of ICU admission were independent risk factors for ICU mortality. For patients with three to five of these risk factors, the rate of ICU mortality was as high as 84.6%, which was significantly higher than that of other patients. In this study, the ICU mortality rate in patients with hematologic malignancies was still high, particularly for those with multiple risk factors. However, allo-HSCT was not found to be a risk factor for ICU mortality.
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Affiliation(s)
- Pei-Hua Wu
- Department of Critical Care Medicine, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China
| | - Wen-Xuan Huo
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Dong Mo
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, 2019RU029, China
| | - Yu Wang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Hua Yan
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Hao Jiang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Meng-Zhu Shen
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Jun Huang
- National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
- Research Unit of Key Technique for Diagnosis and Treatments of Hematologic Malignancies, Chinese Academy of Medical Sciences, Beijing, 2019RU029, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - You-Zhong An
- Department of Critical Care Medicine, Peking University People's Hospital, No. 11 Xizhimen South Street, Xicheng District, Beijing, 100044, China.
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