Heterogeneity in the Effect of Early Goal-Directed Therapy for Septic Shock: A Secondary Analysis of Two Multicenter International Trials

被引:1
作者
Shah, Faraaz Ali [1 ,2 ]
Talisa, Victor B. [3 ]
Chang, Chung-Chou H. [4 ,5 ]
Triantafyllou, Sofia [6 ]
Tang, Lu [5 ]
Mayr, Florian B. [2 ,3 ]
Higgins, Alisa M. [7 ]
Peake, Sandra L. [7 ]
Mouncey, Paul [8 ]
Harrison, David A. [8 ]
Demerle, Kimberley M. [1 ]
Kennedy, Jason N. [3 ]
Cooper, Gregory F. [9 ]
Bellomo, Rinaldo [7 ,10 ,11 ,12 ,13 ]
Rowan, Kathy [8 ]
Yealy, Donald M. [14 ]
Seymour, Christopher W. [3 ]
Angus, Derek C. [3 ]
Yende, Sachin P. [2 ,3 ]
机构
[1] Univ Pittsburgh, Div Pulm Allergy & Crit Care Med, Pittsburgh, PA USA
[2] Vet Affairs Pittsburgh Healthcare Syst, Pittsburgh, PA 15240 USA
[3] Univ Pittsburgh, Dept Crit Care Med, Pittsburgh, PA 15260 USA
[4] Univ Pittsburgh, Div Gen Internal Med, Pittsburgh, PA USA
[5] Univ Pittsburgh, Dept Biostat, Pittsburgh, PA USA
[6] Univ Crete, Dept Math & Appl Math, Iraklion, Crete, Greece
[7] Monash Univ, Australian & New Zealand Intens Care Res Ctr, Melbourne, Vic, Australia
[8] Intens Care Natl Audit & Res Ctr, London, England
[9] Univ Pittsburgh, Dept Biomed Informat, Pittsburgh, PA USA
[10] Univ Melbourne, Dept Crit Care, Melbourne, Vic, Australia
[11] Austin Hosp, Dept Intens Care, Melbourne, Vic, Australia
[12] Royal Melbourne Hosp, Dept Intens Care, Melbourne, Vic, Australia
[13] Austin Hosp, Data Analyt Res & Evaluat Ctr, Melbourne, Vic, Australia
[14] Univ Pittsburgh, Dept Emergency Med, Pittsburgh, PA USA
关键词
heterogeneity of treatment effect; machine learning; precision medicine; resuscitation; sepsis; FLUID; RESUSCITATION; CARE;
D O I
10.1097/CCM.0000000000006463
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
OBJECTIVES: The optimal approach for resuscitation in septic shock remains unclear despite multiple randomized controlled trials (RCTs). Our objective was to investigate whether previously uncharacterized variation across individuals in their response to resuscitation strategies may contribute to conflicting average treatment effects in prior RCTs. DESIGN: We randomly split study sites from the Australian Resuscitation of Sepsis Evaluation (ARISE) and Protocolized Care for Early Septic Shock (ProCESS) trials into derivation and validation cohorts. We trained machine learning models to predict individual absolute risk differences (iARDs) in 90-day mortality in derivation cohorts and tested for heterogeneity of treatment effect (HTE) in validation cohorts and swapped these cohorts in sensitivity analyses. We fit the best-performing model in a combined dataset to explore roles of patient characteristics and individual components of early goal-directed therapy (EGDT) to determine treatment responses. SETTING: Eighty-one sites in Australia, New Zealand, Hong Kong, Finland, Republic of Ireland, and the United States. PATIENTS: Adult patients presenting to the emergency department with severe sepsis or septic shock. INTERVENTIONS: EGDT vs. usual care. MEASUREMENTS AND MAIN RESULTS: A local-linear random forest model performed best in predicting iARDs. In the validation cohort, HTE was confirmed, evidenced by an interaction between iARD prediction and treatment (p < 0.001). When patients were grouped based on predicted iARDs, treatment response increased from the lowest to the highest quintiles (absolute risk difference [95% CI], -8% [-19% to 4%] and relative risk reduction, 1.34 [0.89-2.01] in quintile 1 suggesting harm from EGDT, and 12% [1-23%] and 0.64 [0.42-0.96] in quintile 5 suggesting benefit). Sensitivity analyses showed similar findings. Pre-intervention albumin contributed the most to HTE. Analyses of individual EGDT components were inconclusive. CONCLUSIONS: Treatment response to EGDT varied across patients in two multicenter RCTs with large benefits for some patients while others were harmed. Patient characteristics, including albumin, were most important in identifying HTE.
引用
收藏
页码:e4 / e14
页数:11
相关论文
共 25 条
  • [1] Transcriptomic Signatures in Sepsis and a Differential Response to Steroids From the VANISH Randomized Trial
    Antcliffe, David B.
    Burnham, Katie L.
    Al-Beidh, Farah
    Santhakumaran, Shalini
    Brett, Stephen J.
    Hinds, Charles J.
    Ashby, Deborah
    Knight, Julian C.
    Gordon, Anthony C.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199 (08) : 980 - 986
  • [2] GENERALIZED RANDOM FORESTS
    Athey, Susan
    Tibshirani, Julie
    Wager, Stefan
    [J]. ANNALS OF STATISTICS, 2019, 47 (02) : 1148 - 1178
  • [3] QINI-BASED UPLIFT REGRESSION
    Belbahri, Mouloud
    Murua, Alejandro
    Gandouet, Olivier
    Nia, Vahid Partovi
    [J]. ANNALS OF APPLIED STATISTICS, 2021, 15 (03) : 1247 - 1272
  • [4] Individualized Treatment Effects of Oxygen Targets in Mechanically Ventilated Critically Ill Adults
    Buell, Kevin G.
    Spicer, Alexandra B.
    Casey, Jonathan D.
    Seitz, Kevin P.
    Qian, Edward T.
    Graham Linck, Emma J.
    Self, Wesley H.
    Rice, Todd W.
    Sinha, Pratik
    Young, Paul J.
    Semler, Matthew W.
    Churpek, Matthew M.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2024, 331 (14): : 1195 - 1204
  • [5] Chernozhukov V., 2018, National Bureau of Economic Research Working Paper Series, V24678
  • [6] Heterogeneous Treatment Effects of Therapeutic-Dose Heparin in Patients Hospitalized for COVID-19
    Goligher, Ewan C. C.
    Lawler, Patrick R. R.
    Jensen, Thomas P. P.
    Talisa, Victor
    Berry, Lindsay R. R.
    Lorenzi, Elizabeth
    McVerry, Bryan J. J.
    Chang, Chung-Chou Ho
    Leifer, Eric
    Bradbury, Charlotte
    Berger, Jeffrey
    Hunt, Beverly J. J.
    Castellucci, Lana A. A.
    Kornblith, Lucy Z.
    Gordon, Anthony C. C.
    McArthur, Colin
    Webb, Steven
    Hochman, Judith
    Neal, Matthew D. D.
    Zarychanski, Ryan
    Berry, Scott
    Angus, Derek C. C.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2023, 329 (13): : 1066 - 1077
  • [7] From local explanations to global understanding with explainable AI for trees
    Lundberg, Scott M.
    Erion, Gabriel
    Chen, Hugh
    DeGrave, Alex
    Prutkin, Jordan M.
    Nair, Bala
    Katz, Ronit
    Himmelfarb, Jonathan
    Bansal, Nisha
    Lee, Su-In
    [J]. NATURE MACHINE INTELLIGENCE, 2020, 2 (01) : 56 - 67
  • [8] Restriction of Intravenous Fluid in ICU Patients with Septic Shock
    Shahid, Azib S.
    Fanapour, Philip
    Gazmuri, Raul J.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2022, 387 (09) : 856 - 856
  • [9] Trial of Early, Goal-Directed Resuscitation for Septic Shock
    Mouncey, Paul R.
    Osborn, Tiffany M.
    Power, G. Sarah
    Harrison, David A.
    Sadique, M. Zia
    Grieve, Richard D.
    Jahan, Rahi
    Harvey, Sheila E.
    Bell, Derek
    Bion, Julian F.
    Coats, Timothy J.
    Singer, Mervyn
    Young, J. Duncan
    Rowan, Kathryn M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2015, 372 (14) : 1301 - 1311
  • [10] Quasi-oracle estimation of heterogeneous treatment effects
    Nie, X.
    Wager, S.
    [J]. BIOMETRIKA, 2021, 108 (02) : 299 - 319