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Tang J, Wu C, Zhong Z. Group-Based Trajectory Modeling of Fluid Balance in Elderly Patients with Acute Ischemic Stroke: Analysis from Multicenter ICUs. Neurol Ther 2024; 13:749-761. [PMID: 38635141 PMCID: PMC11136917 DOI: 10.1007/s40120-024-00612-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 03/21/2024] [Indexed: 04/19/2024] Open
Abstract
INTRODUCTION Acute ischemic stroke (AIS) significantly contributes to severe disability and mortality among the elderly. This study aims to explore the association between longitudinal fluid balance (FB) trajectories and clinical outcomes in elderly patients with AIS. Our hypothesis posits the existence of multiple latent trajectories of FB in patients with AIS during the initial 7 days following ICU admission. METHODS Patients (age ≥ 65 years) with AIS and continuous FB records were identified from two large databases. Group-based trajectory modeling identified latent groups with similar 7-day FB trajectories. Subsequently, multivariable logistic and quasi-Poisson regression were employed to evaluate the relationship between trajectory groups and outcomes. Additionally, nonlinear associations between maximum fluid overload (FO) and outcomes were analyzed using restricted cubic spline models. To further validate our findings, subgroup and sensitivity analysis were conducted. RESULTS A total of 1146 eligible patients were included in this study, revealing three trajectory patterns were identified: low FB (84.8%), decreasing FB (7.2%), and high FB (7.9%). High FB emerged as an independent risk factor for in-hospital mortality. Compared with those without FO, patients with FO had a 1.57-fold increased risk of hospital mortality (adjusted odd ratio (OR) 1.57, 95% confidence interval (CI) 1.08-2.27), 2.37-fold increased risk of adverse kidney event (adjusted OR 2.37, 95% CI 1.56-3.59), and 1.33-fold increased risk of prolonged ICU stay (adjusted incidence rate ratio (IRR) 1.33, 95% CI 1.19-1.48). The risk of hospital mortality and adverse kidney event increased linearly with rising maximum FO (P for non-linearity = 0.263 and 0.563, respectively). CONCLUSION Daily FB trajectories were associated with adverse outcomes in elderly patients with AIS. Regular assessment of daily fluid status and restriction of FO are crucial for the recovery of critically ill patients.
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Affiliation(s)
- Jia Tang
- Graduate School of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Changdong Wu
- Xinjiang Emergency Center, People's Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tian-Chi Road, Tianshan District, Urumqi, 830001, Xinjiang, China.
| | - Zhenguang Zhong
- Department of Bioengineering, Imperial College London, London, UK
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White KC, Laupland KB, Ostermann M, Neto AS, Gatton ML, Hurford R, Clement P, Sanderson B, Bellomo R. Current Fluid Management Practice in Critically Ill Adults on Continuous Renal Replacement Therapy: A Binational, Observational Study. Blood Purif 2024; 53:624-633. [PMID: 38626729 PMCID: PMC11309063 DOI: 10.1159/000538421] [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: 12/20/2023] [Accepted: 03/11/2024] [Indexed: 04/18/2024]
Abstract
INTRODUCTION In critically ill patients undergoing continuous renal replacement therapy (CRRT), a positive fluid balance (FB) is associated with adverse outcomes. However, current FB management practices in CRRT patients are poorly understood. We aimed to study FB and its components in British and Australian CRRT patients to inform future trials. METHODS We obtained detailed electronic health record data on all fluid-related variables during CRRT and hourly FB for the first 7 days of treatment. RESULTS We studied 1,616 patients from three tertiary intensive care units (ICUs) in two countries. After the start of CRRT, the mean cumulative FB became negative at 31 h and remained negative over 7 days to a mean nadir of -4.1 L (95% confidence interval (CI) of -4.6 to -3.5). The net ultrafiltration (NUF) rate was the dominant fluid variable (-67.7 mL/h; standard deviation (SD): 75.7); however, residual urine output (-34.7 mL/h; SD: 54.5), crystalloid administration (48.1 mL/h; SD: 44.6), and nutritional input (36.4 mL/h; SD: 29.7) significantly contributed to FB. Patients with a positive FB after 72 h of CRRT were more severely ill, required high-dose vasopressors, and had high lactate concentrations (5.0 mmol/L; interquartile range: 2.3-10.5). A positive FB was independently associated with increased hospital mortality (odds ratio: 1.70; 95% CI; p = 0.004). CONCLUSION In the study ICUs, most CRRT patients achieved a predominantly NUF-dependent negative FB. Patients with a positive FB at 72 h had greater illness severity and haemodynamic instability. Achieving equipoise for conducting trials that target a negative early FB in such patients may be difficult.
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Affiliation(s)
- Kyle C. White
- Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Queensland University of Technology (QUT), Brisbane, QLD, Australia
| | - Kevin B. Laupland
- Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Department of Intensive Care Services, Royal Brisbane and Women’s Hospital, Brisbane, QLD, Australia
| | - Marlies Ostermann
- King’s College London, Guy’s and St Thomas’ Hospital, Department of Critical Care, London, UK
| | - Ary Serpa Neto
- Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
- Department of Critical Care, Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | | | - Rod Hurford
- Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Pierre Clement
- Department of Intensive Care Services, Royal Brisbane and Women’s Hospital, Brisbane, QLD, Australia
| | - Barnaby Sanderson
- King’s College London, Guy’s and St Thomas’ Hospital, Department of Critical Care, London, UK
| | - Rinaldo Bellomo
- Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia
- Department of Intensive Care, Austin Hospital, Heidelberg, VIC, Australia
- Department of Intensive Care, Royal Melbourne Hospital, Melbourne, VIC, Australia
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