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Sutton AJ, Lupu DS, Bergin SP, Holland TL, McAdams SA, Dadwal SS, Nguyen K, Nolte FS, Tremblay G, Perkins BA. Cost-Effectiveness of Plasma Microbial Cell-Free DNA Sequencing When Added to Usual Care Diagnostic Testing for Immunocompromised Host Pneumonia. PHARMACOECONOMICS 2024; 42:1029-1045. [PMID: 38955978 PMCID: PMC11343789 DOI: 10.1007/s40273-024-01409-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/09/2024] [Indexed: 07/04/2024]
Abstract
INTRODUCTION Immunocompromised host pneumonia (ICHP) is an important cause of morbidity and mortality, yet usual care (UC) diagnostic tests often fail to identify an infectious etiology. A US-based, multicenter study (PICKUP) among ICHP patients with hematological malignancies, including hematological cell transplant recipients, showed that plasma microbial cell-free DNA (mcfDNA) sequencing provided significant additive diagnostic value. AIM The objective of this study was to perform a cost-effectiveness analysis (CEA) of adding mcfDNA sequencing to UC diagnostic testing for hospitalized ICHP patients. METHODS A semi-Markov model was utilized from the US third-party payer's perspective such that only direct costs were included, using a lifetime time horizon with discount rates of 3% for costs and benefits. Three comparators were considered: (1) All UC, which included non-invasive (NI) and invasive testing and early bronchoscopy; (2) All UC & mcfDNA; and (3) NI UC & mcfDNA & conditional UC Bronch (later bronchoscopy if the initial tests are negative). The model considered whether a probable causative infectious etiology was identified and if the patient received appropriate antimicrobial treatment through expert adjudication, and if the patient died in-hospital. The primary endpoints were total costs, life-years (LYs), equal value life-years (evLYs), quality-adjusted life-years (QALYs), and the incremental cost-effectiveness ratio per QALY. Extensive scenario and probabilistic sensitivity analyses (PSA) were conducted. RESULTS At a price of $2000 (2023 USD) for the plasma mcfDNA, All UC & mcfDNA was more costly ($165,247 vs $153,642) but more effective (13.39 vs 12.47 LYs gained; 10.20 vs 9.42 evLYs gained; 10.11 vs 9.42 QALYs gained) compared to All UC alone, giving a cost/QALY of $16,761. NI UC & mcfDNA & conditional UC Bronch was also more costly ($162,655 vs $153,642) and more effective (13.19 vs 12.47 LYs gained; 9.96 vs 9.42 evLYs gained; 9.96 vs 9.42 QALYs gained) compared to All UC alone, with a cost/QALY of $16,729. The PSA showed that above a willingness-to-pay threshold of $50,000/QALY, All UC & mcfDNA was the preferred scenario on cost-effectiveness grounds (as it provides the most QALYs gained). Further scenario analyses found that All UC & mcfDNA always improved patient outcomes but was not cost saving, even when the price of mcfDNA was set to $0. CONCLUSIONS Based on the evidence available at the time of this analysis, this CEA suggests that mcfDNA may be cost-effective when added to All UC, as well as in a scenario using conditional bronchoscopy when NI testing fails to identify a probable infectious etiology for ICHP. Adding mcfDNA testing to UC diagnostic testing should allow more patients to receive appropriate therapy earlier and improve patient outcomes.
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Affiliation(s)
| | | | - Stephen P Bergin
- Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Thomas L Holland
- Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
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Hill JA, Park SY, Gajurel K, Taplitz R. A Systematic Literature Review to Identify Diagnostic Gaps in Managing Immunocompromised Patients With Cancer and Suspected Infection. Open Forum Infect Dis 2024; 11:ofad616. [PMID: 38221981 PMCID: PMC10787371 DOI: 10.1093/ofid/ofad616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 12/05/2023] [Indexed: 01/16/2024] Open
Abstract
Patients with cancer are increasingly vulnerable to infections, which may be more severe than in the general population. Improvements in rapid and timely diagnosis to optimize management are needed. We conducted a systematic literature review to determine the unmet need in diagnosing acute infections in immunocompromised patients with cancer and identified 50 eligible studies from 5188 records between 1 January 2012 and 23 June 2022. There was considerable heterogeneity in study designs and parameters, laboratory methods and definitions, and assessed outcomes, with limited evaluation of diagnostic impact on clinical outcomes. Culture remains the primary diagnostic strategy. Fewer studies employing molecular technologies exist, but emerging literature suggests that pathogen-agnostic molecular tests may add to the diagnostic armamentarium. Well-designed clinical studies using standardized methodologies are needed to better evaluate performance characteristics and clinical and economic impacts of emerging diagnostic techniques to improve patient outcomes.
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Affiliation(s)
- Joshua A Hill
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Sarah Y Park
- Medical Affairs, Karius, Inc, Redwood City, California, USA
| | - Kiran Gajurel
- Division of Infectious Diseases, Carolinas Medical Center, Atrium Health, Charlotte, North Carolina, USA
| | - Randy Taplitz
- Department of Medicine, City of Hope National Medical Center, Duarte, California, USA
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Benzoni NS, Carey KA, Bewley AF, Klaus J, Fuller BM, Edelson DP, Churpek MM, Bhavani SV, Lyons PG. Temperature Trajectory Subphenotypes in Oncology Patients with Neutropenia and Suspected Infection. Am J Respir Crit Care Med 2023; 207:1300-1309. [PMID: 36449534 PMCID: PMC10595453 DOI: 10.1164/rccm.202205-0920oc] [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: 05/14/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
Rationale: Despite etiologic and severity heterogeneity in neutropenic sepsis, management is often uniform. Understanding host response clinical subphenotypes might inform treatment strategies for neutropenic sepsis. Objectives: In this retrospective two-hospital study, we analyzed whether temperature trajectory modeling could identify distinct, clinically relevant subphenotypes among oncology patients with neutropenia and suspected infection. Methods: Among adult oncologic admissions with neutropenia and blood cultures within 24 hours, a previously validated model classified patients' initial 72-hour temperature trajectories into one of four subphenotypes. We analyzed subphenotypes' independent relationships with hospital mortality and bloodstream infection using multivariable models. Measurements and Main Results: Patients (primary cohort n = 1,145, validation cohort n = 6,564) fit into one of four temperature subphenotypes. "Hyperthermic slow resolvers" (pooled n = 1,140 [14.8%], mortality n = 104 [9.1%]) and "hypothermic" encounters (n = 1,612 [20.9%], mortality n = 138 [8.6%]) had higher mortality than "hyperthermic fast resolvers" (n = 1,314 [17.0%], mortality n = 47 [3.6%]) and "normothermic" (n = 3,643 [47.3%], mortality n = 196 [5.4%]) encounters (P < 0.001). Bloodstream infections were more common among hyperthermic slow resolvers (n = 248 [21.8%]) and hyperthermic fast resolvers (n = 240 [18.3%]) than among hypothermic (n = 188 [11.7%]) or normothermic (n = 418 [11.5%]) encounters (P < 0.001). Adjusted for confounders, hyperthermic slow resolvers had increased adjusted odds for mortality (primary cohort odds ratio, 1.91 [P = 0.03]; validation cohort odds ratio, 2.19 [P < 0.001]) and bloodstream infection (primary odds ratio, 1.54 [P = 0.04]; validation cohort odds ratio, 2.15 [P < 0.001]). Conclusions: Temperature trajectory subphenotypes were independently associated with important outcomes among hospitalized patients with neutropenia in two independent cohorts.
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Affiliation(s)
| | - Kyle A. Carey
- Department of Medicine, University of Chicago Medicine, Chicago, Illinois
| | | | - Jeff Klaus
- Department of Pharmacy, Barnes-Jewish Hospital, St. Louis, Missouri
| | - Brian M. Fuller
- Department of Anesthesiology
- Department of Emergency Medicine, and
| | - Dana P. Edelson
- Department of Medicine, University of Chicago Medicine, Chicago, Illinois
| | | | | | - Patrick G. Lyons
- Department of Medicine
- Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, Missouri
- Healthcare Innovation Lab, BJC HealthCare, St. Louis, Missouri
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Chen W, Zhao Y, Luo Y, Yu J, Fu H, Lai X, Liu L, Ye Y, He J, Sun J, Zheng W, Zhao Y, Wei G, Cai Z, Huang H, Shi J. Clinical Characteristics, Microbiology, and Risk Factors for Mortality of Pre-Engraftment and Post-Engraftment Bloodstream Infection in Hematopoietic Stem Cell Transplantation Recipients. Infect Drug Resist 2022; 15:6893-6905. [PMID: 36465805 PMCID: PMC9717594 DOI: 10.2147/idr.s392804] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/16/2022] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Bloodstream infection (BSI) is a common and serious complication that may lead to high mortality during the different phases after hematopoietic stem cell transplant (HSCT). We investigated BSI in patients undergoing HSCT to provide an appropriate clinical anti-infection experience and improve the prognosis of recipients with BSI after HSCT. METHODS A total of 105 patients with BSI after HSCT at our center from January 2015 to June 2020 were included in this retrospective study. We analyzed the clinical and microbiological data, and the risk factors for mortality at 3 months after BSI. RESULTS Of the 1141 HSCT recipients, 105 (9.2%) patients presented with 122 episodes of BSI, of which we isolated 85 (65.9%) gram-negative bacteria, 32 (24.8%) gram-positive bacteria and 12 (9.3%) fungi. Multidrug-resistant bacteria (MDR) were more than 70% of all pathogens and carbapenem-resistant organisms (CRO) were 25.6%. There were 55 episodes of BSI in the pre-engraftment phase and 67 episodes in the post-engraftment phase. The mortality of post-engraftment BSI was significantly higher than that of pre-engraftment (56.7% vs 32.7%, p = 0.005). Through multivariate analysis, the independent risk factors for all-cause mortality at 3 months after BSI were higher levels of procalcitonin (PCT), failure to cover appropriate antibiotics timely, and CRO BSI in pre-engraftment period or multidrug-resistant gram-negative bacteria (MDRGNB) BSI in post-engraftment period. CONCLUSION Although the incidence of BSI was lower after HSCT, MDR-dominated BSI had a high mortality rate. Rapid identification of infection or pathogens' classification with various testing methods and the more sensible and timely antibiotic cover are critical to the outcome of BSI after HSCT.
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Affiliation(s)
- Weihao Chen
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Yanmin Zhao
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Yi Luo
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Jian Yu
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Huarui Fu
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Xiaoyu Lai
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Lizhen Liu
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Yishan Ye
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Jingsong He
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Jie Sun
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Weiyan Zheng
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Yi Zhao
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Guoqing Wei
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Zhen Cai
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - He Huang
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
| | - Jimin Shi
- Bone Marrow Transplantation Center, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, 311121, People’s Republic of China
- Institute of Hematology, Zhejiang University, Hangzhou, People’s Republic of China
- Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy, Hangzhou, People’s Republic of China
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