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Guo S, Xie D, Gao Y, Yang L, Chen J, He Y, Sun Y, He S, Chen F, Wang Y, Guo Q. Risk factors for in-hospital mortality in recipients of allogeneic hematopoietic stem cell transplantation with acute respiratory distress syndrome: a retrospective study based on the 2023 new definition of acute respiratory distress syndrome. BMC Pulm Med 2024; 24:391. [PMID: 39138459 PMCID: PMC11321144 DOI: 10.1186/s12890-024-03195-3] [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: 10/17/2023] [Accepted: 07/31/2024] [Indexed: 08/15/2024] Open
Abstract
INTRODUCTION ARDS (acute respiratory distress syndrome) is the most severe form of acute hypoxic respiratory failure. Most studies related to ARDS have excluded patients with hematologic diseases, let alone allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients. Numerous patients experiencing severe hypoxic respiratory failure do not meet the Berlin definition due to the limitations of diagnosis and treatment. A new definition of ARDS, remove some diagnosis restrictions, was proposed in 2023. Based on the 2023 new definition of ARDS, we investigated the clinical features of ARDS in allo-HSCT recipients and reported risk factors for in-hospital mortality in allo-HSCT recipients defined by the Berlin definition and the new definition of ARDS respectively. METHODS From Jan 2016 to Dec 2020, 135 allo-HSCT recipients identified with the new definition and 87 identified with the Berlin definition at three teaching hospitals were retrospectively included in this study. Variables (demographic information, characteristics of hematologic disease and ARDS episode, laboratory tests and SOFA score) with P < 0.05 in univariate logistic regression analysis were included in multivariate stepwise logistic regression analysis. Adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were reported. RESULTS Under the new definition, SOFA score (OR = 1.351, 95% CI: 1.146-1.593, P < 0.01) were found as an independent risk factor for in-hospital mortality in ARDS after allo-HSCT, while SpO2/FiO2 (OR = 0.984, 95% CI: 0.972-0.996, P < 0.01) was a protective factor. The infusion of peripheral-derived stem cells was found to be a protective factor against in-hospital mortality in post-transplantation ARDS compared with the infusion of bone marrow-derived stem cells (OR = 0.726, 95% CI: 0.164-3.221, P = 0.04). Under the Berlin definition, PaO2/FiO2 (OR = 0.977, 95% CI: 0.961-0.993, P = 0.01, lactate (OR = 7.337, 95% CI: 1.313-40.989, P < 0.01) and AST (OR = 1.165, 95% CI: 1.072-1.265, P < 0.01) were independently associated with in-hospital mortality. CONCLUSION These prognostic risk factors we found in allo-HSCT recipients may contribute to closer monitoring and ARDS prevention strategies. These findings require confirmation in prospective, large sample size studies.
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Affiliation(s)
- Shiqi Guo
- Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), No.9 Chongwen Road, Suzhou, Jiangsu, China
- Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), Suzhou, Jiangsu, China
| | - Dan Xie
- Emergency Department, Kunshan Hospital Affiliated to Nanjing University of Chinese Medicine, Kunshan, Jiangsu, China
| | - Ye Gao
- Department of Critical Care Medicine, Taicang First People's Hospital, Taicang, Jiangsu, China
| | - Lijuan Yang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Jiahao Chen
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Ying He
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yuanxiao Sun
- Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), No.9 Chongwen Road, Suzhou, Jiangsu, China
- Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), Suzhou, Jiangsu, China
| | - Siyu He
- Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), No.9 Chongwen Road, Suzhou, Jiangsu, China
- Department of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), Suzhou, Jiangsu, China
| | - Feng Chen
- Department of Hematology, Suzhou Hongci Hematology Hospital, Suzhou, Jiangsu, China
- Department of Hematology, The First Affiliated Hospital of Soochow University, 188 Shizi St, Suzhou, Jiangsu, China
| | - Ying Wang
- Department of Hematology, The First Affiliated Hospital of Soochow University, 188 Shizi St, Suzhou, Jiangsu, China.
| | - Qiang Guo
- Department of Emergency, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital, Medical Center of Soochow University), No.9 Chongwen Road, Suzhou, Jiangsu, China.
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
- Institute for Critical Care Medicine of Soochow University, Suzhou, Jiangsu, China.
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Herasevich S, Schulte PJ, Hogan WJ, Alkhateeb H, Zhang Z, White BA, Khera N, Roy V, Gajic O, Yadav H. Lung Injury Prediction Model in Bone Marrow Transplantation: A Multicenter Cohort Study. Am J Respir Crit Care Med 2024; 209:543-552. [PMID: 38051944 PMCID: PMC10919104 DOI: 10.1164/rccm.202308-1524oc] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/05/2023] [Indexed: 12/07/2023] Open
Abstract
Rationale: Pulmonary complications contribute significantly to nonrelapse mortality following hematopoietic stem cell transplantation (HCT). Identifying patients at high risk can help enroll such patients into clinical studies to better understand, prevent, and treat posttransplantation respiratory failure syndromes. Objectives: To develop and validate a prediction model to identify those at increased risk of acute respiratory failure after HCT. Methods: Patients underwent HCT between January 1, 2019, and December 31, 2021, at one of three institutions. Those treated in Rochester, MN, formed the derivation cohort, and those treated in Scottsdale, AZ, or Jacksonville, FL, formed the validation cohort. The primary outcome was the development of acute respiratory distress syndrome (ARDS), with secondary outcomes including the need for invasive mechanical ventilation (IMV) and/or noninvasive ventilation (NIV). Predictors were based on prior case-control studies. Measurements and Main Results: Of 2,450 patients undergoing stem cell transplantation, there were 1,718 hospitalizations (888 patients) in the training cohort and 1,005 hospitalizations (470 patients) in the test cohort. A 22-point model was developed, with 11 points from prehospital predictors and 11 points from posttransplantation or early (<24-h) in-hospital predictors. The model performed well in predicting ARDS (C-statistic, 0.905; 95% confidence interval [CI], 0.870-0.941) and the need for IMV and/or NIV (C-statistic, 0.863; 95% CI, 0.828-0.898). The test cohort differed markedly in demographic, medical, and hematologic characteristics. The model also performed well in this setting in predicting ARDS (C-statistic, 0.841; 95% CI, 0.782-0.900) and the need for IMV and/or NIV (C-statistic, 0.872; 95% CI, 0.831-0.914). Conclusions: A novel prediction model incorporating data elements from the pretransplantation, posttransplantation, and early in-hospital domains can reliably predict the development of post-HCT acute respiratory failure.
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Affiliation(s)
- Svetlana Herasevich
- Department of Anesthesiology and Perioperative Medicine, Division of Critical Care
| | - Phillip J. Schulte
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences
| | | | | | - Zhenmei Zhang
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Bradley A. White
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Nandita Khera
- Division of Hematology and Oncology, Mayo Clinic, Phoenix, Arizona; and
| | - Vivek Roy
- Division of Hematology and Oncology, Mayo Clinic, Jacksonville, Florida
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Hemang Yadav
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
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Heybati K, Ochal D, Hogan W, Al-Khateeb H, Sklar D, Herasevich S, Litzow M, Shah M, Torghabeh MH, Durani U, Bauer P, Gajic O, Yadav H. Temporal trends in critical care utilization and outcomes in allogeneic hematopoietic stem cell transplant recipients. Ann Hematol 2024; 103:957-967. [PMID: 38170240 DOI: 10.1007/s00277-023-05612-9] [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: 09/28/2023] [Accepted: 12/27/2023] [Indexed: 01/05/2024]
Abstract
Historically, the prognosis of allogeneic hematopoietic stem cell transplant (allo-HCT) recipients who require intensive care unit (ICU) admission has been poor. We aimed to describe the epidemiological trends of ICU utilization and outcomes in allo-HCT patients. We conducted a retrospective cohort study including adults (≥ 18) undergoing allo-HCT between 01/01/2005 and 31/12/2020 at Mayo Clinic, Rochester. Temporal trends in outcomes were assessed by robust linear regression modelling. Risk factors for hospital mortality were chosen a priori and assessed with multivariable logistic regression modelling. Of 1,249 subjects, there were 486 ICU admissions among 287 individuals. Although older patients underwent allo-HCT (1.64 [95% CI: 1.11 to 2.45] years per year; P = 0.025), there was no change in ICU utilization over time (P = 0.91). The ICU and hospital mortality rates were 19.2% (55/287) and 28.2% (81/287), respectively. There was a decline in ICU mortality (-0.38% [95% CI: -0.70 to -0.06%] per year; P = 0.035). The 1-year post-HCT mortality for those requiring ICU admission was 56.1% (161/287), with no significant difference over time, versus 15.8% (141/891, 71 missing) among those who did not. The frequency and duration of invasive mechanical ventilation (IMV) declined. In multivariable analyses, higher serum lactate, higher sequential organ failure assessment (SOFA) scores, acute respiratory distress (ARDS), and need for IMV were associated with greater odds of hospital mortality. Over time, rates of ICU utilization have remained stable, despite increasing patient age. Several trends suggest improvement in outcomes, notably lower ICU mortality and frequency of IMV. However, long-term survival remains unchanged. Further work is needed to improve long-term outcomes in this population.
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Affiliation(s)
- Kiyan Heybati
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Domenic Ochal
- Mayo Clinic Alix School of Medicine, Mayo Clinic, Rochester, MN, USA
| | - William Hogan
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - David Sklar
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Svetlana Herasevich
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Mark Litzow
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Mithun Shah
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Philippe Bauer
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ognjen Gajic
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Hemang Yadav
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
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