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LaBuzetta JN, Bongbong DN, Mlodzinski E, Sheth R, Trando A, Ibrahim N, Yip B, Malhotra A, Dinglas VD, Needham DM, Kamdar BB. Survivorship After Neurocritical Care: A Scoping Review of Outcomes Beyond Physical Status. Neurocrit Care 2024; 41:651-664. [PMID: 38622487 PMCID: PMC11377172 DOI: 10.1007/s12028-024-01965-9] [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: 08/23/2023] [Accepted: 02/21/2024] [Indexed: 04/17/2024]
Abstract
Following intensive care unit hospitalization, survivors of acute neurological injury often experience debilitating short-term and long-term impairments. Although the physical/motor impairments experienced by survivors of acute neurological injury have been described extensively, fewer studies have examined cognitive, mental health, health-related quality of life (HRQoL), and employment outcomes. This scoping review describes the publication landscape beyond physical and/or motor sequelae in neurocritical care survivors. Databases were searched for terms related to critical illness, intensive care, and outcomes from January 1970 to March 2022. English-language studies of critically ill adults with a primary neurological diagnosis were included if they reported on at least one outcome of interest: cognition, mental health, HRQoL or employment. Data extraction was performed in duplicate for prespecified variables related to study outcomes. Of 16,036 abstracts screened, 74 citations were identified for inclusion. The studies encompassed seven worldwide regions and eight neurocritical diagnosis categories. Publications reporting outcomes of interest increased from 3 before the year 2000 to 71 after. Follow-up time points included ≤ 1 (n = 15 [20%] citations), 3 (n = 28 [38%]), 6 (n = 28 [38%]), and 12 (n = 21 [28%]) months and 1 to 5 (n = 19 [26%]) and > 5 years (n = 8 [11%]), with 28 (38%) citations evaluating outcomes at multiple time points. Sixty-six assessment tools were used to evaluate the four outcomes of interest: 22 evaluating HRQoL (56 [76%] citations), 21 evaluating cognition (20 [27%] citations), 21 evaluating mental health (18 [24%] citations), and 2 evaluating employment (9 [12%] citations). This scoping review aimed to better understand the literature landscape regarding nonphysical outcomes in survivors of neurocritical care. Although a rising number of publications highlight growing awareness, future efforts are needed to improve study consistency and comparability and characterize outcomes in a disease-specific manner, including outlining of a minimum core outcomes set and associated assessment tools.
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Affiliation(s)
- Jamie Nicole LaBuzetta
- Division of Neurocritical Care, Department of Neurosciences, University of California, San Diego Health, 9444 Medical Center Dr., East Campus Office Building 3-028, La Jolla, CA, 92037-7740, USA.
| | - Dale N Bongbong
- Division of Neurocritical Care, Department of Neurosciences, University of California, San Diego Health, 9444 Medical Center Dr., East Campus Office Building 3-028, La Jolla, CA, 92037-7740, USA
| | - Eric Mlodzinski
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego Health, La Jolla, CA, USA
| | - Richa Sheth
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego Health, La Jolla, CA, USA
| | - Aaron Trando
- Division of Neurocritical Care, Department of Neurosciences, University of California, San Diego Health, 9444 Medical Center Dr., East Campus Office Building 3-028, La Jolla, CA, 92037-7740, USA
| | - Nicholas Ibrahim
- Division of Neurocritical Care, Department of Neurosciences, University of California, San Diego Health, 9444 Medical Center Dr., East Campus Office Building 3-028, La Jolla, CA, 92037-7740, USA
| | - Brandon Yip
- Division of Neurocritical Care, Department of Neurosciences, University of California, San Diego Health, 9444 Medical Center Dr., East Campus Office Building 3-028, La Jolla, CA, 92037-7740, USA
| | - Atul Malhotra
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego Health, La Jolla, CA, USA
| | - Victor D Dinglas
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Outcomes After Critical Illness and Surgery (OACIS) Research Group, Johns Hopkins University, Baltimore, MD, USA
| | - Dale M Needham
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Outcomes After Critical Illness and Surgery (OACIS) Research Group, Johns Hopkins University, Baltimore, MD, USA
- Department of Physical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Biren B Kamdar
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of California, San Diego Health, La Jolla, CA, USA
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Lu Y, Zhang Q, Jiang J, Zhang Y. An externally validated prognostic model for critically ill patients with traumatic brain injury. Ann Clin Transl Neurol 2024; 11:2350-2359. [PMID: 38973122 PMCID: PMC11537144 DOI: 10.1002/acn3.52148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 06/23/2024] [Accepted: 06/26/2024] [Indexed: 07/09/2024] Open
Abstract
OBJECTIVE Patients with traumatic brain injury (TBI) who are admitted to the intensive care unit often exhibit critical conditions; thus, early prediction of in-hospital mortality is crucial. In this study, we aimed to develop a reliable and easily promotable model for predicting the in-hospital mortality of critically ill patients with TBI using easily accessible indicators and validate the model using external data. METHODS Patient data from the Medical Information Mart for Intensive Care-IV 2.2 database were used as training and internal validation sets to establish and internally validate the prognostic model. Data from the Affiliated Dongyang Hospital of Wenzhou Medical University were used for external validation. The Boruta algorithm was used for the initial feature selection, followed by univariate and multivariate logistic regression analyses to identify the final independent predictors. The predictive performance was evaluated using a receiver operating characteristic curve, calibration curve, clinical practicality decision curve analysis, and clinical impact curve. RESULTS This study included 3225 patients (training set: 2042; internal validation set: 874; and external validation set: 309). Ten variables were selected for inclusion in the nomogram model: age, mechanical ventilation usage, vasoactive agent usage, intracerebral hemorrhage, temperature, respiration rate, white blood cell count, platelet count, red blood cell distribution width, and glucose. The nomogram demonstrated good predictive performance in both the internal and external validation sets. INTERPRETATION We developed an externally validated nomogram that exhibited good discrimination, calibration, and clinical utility for predicting in-hospital mortality in critically ill patients with TBI.
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Affiliation(s)
- Yan Lu
- Clinical LaboratoryAffiliated Dongyang Hospital of Wenzhou Medical University60 West Wuning RoadDongyangZhejiang322100China
| | - Qiaohong Zhang
- Clinical LaboratoryAffiliated Dongyang Hospital of Wenzhou Medical University60 West Wuning RoadDongyangZhejiang322100China
| | - Jinwen Jiang
- Clinical LaboratoryAffiliated Dongyang Hospital of Wenzhou Medical University60 West Wuning RoadDongyangZhejiang322100China
| | - Yongjun Zhang
- Clinical LaboratoryAffiliated Dongyang Hospital of Wenzhou Medical University60 West Wuning RoadDongyangZhejiang322100China
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Chang CW, Tzeng HY, Ma CY, Li ST, Chen KJ, Chiang HH. Effectiveness of exercise in improving quality of life in patients with traumatic brain injury: A systematic review and meta-analysis. Brain Inj 2023; 37:140-146. [PMID: 36625006 DOI: 10.1080/02699052.2023.2165155] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Traumatic brain injury (TBI) is a major cause of disability and mortality worldwide. People with TBI exhibit poor quality of life (QOL). Exercise is considered a possible intervention for improving cognitive function and mood, helping improve QOL in patients with TBI. According to our review of the relevant literature, meta-analyses have yet to explore the effect of exercise on QOL in patients with TBI. OBJECTIVES To determine by meta-analysis of relevant studies whether physical exercise could promote QOL in patients with TBI. METHODS A systematic review and meta-analysis of intervention studies involving physical exercise for improving QOL outcomes in TBI populations were conducted according to the PRISMA guideline. Our inclusion criteria were as follows: being randomized or nonrandomized controlled trials with quantitative designs that included patients diagnosed with TBI. RESULTS Thus, six studies met the inclusion criteria. The interventions in four of the six studies had statistically significant effects on QOL improvement. Our meta-analysis revealed a moderate effect size of physical exercise on QOL promotion in patients with TBI. CONCLUSION For TBI, exercise seems to improve QOL. More research with long-term follow-up should be conducted to assess the effect of exercise on patients with TBI.
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Affiliation(s)
- Chia-Wen Chang
- Department of Nursing, Taoyuan Armed Forces, Taoyuan General Hospital, Taoyuan, Taiwan
| | - Hsin-Ya Tzeng
- School of Nursing, National Defense Medical Center, Taipei, Taiwan.,Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
| | - Ching-Yuan Ma
- School of Nursing, National Defense Medical Center, Taipei, Taiwan.,Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
| | - Shih-Ting Li
- School of Nursing, National Defense Medical Center, Taipei, Taiwan.,Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
| | - Kuan-Jung Chen
- Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
| | - Hui-Hsun Chiang
- School of Nursing, National Defense Medical Center, Taipei, Taiwan
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Cinotti R, Roquilly A, Chopin A, Martin FP, Morato Y, Lerebourg C, Moyer JD, Huet O, Lasocki S, Cohen B, Dahyot-Fizelier C, Chalard K, Seguin P, Chenet A, Perrouin-Verbe B, Sinha D, Asehnoune K, Feuillet F, Sébille V. Relationship between health-related quality-of-life and functional outcome 6 months after moderate to severe TBI. Ann Phys Rehabil Med 2023; 66:101715. [PMID: 36652785 DOI: 10.1016/j.rehab.2022.101715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 09/20/2022] [Accepted: 10/08/2022] [Indexed: 01/18/2023]
Affiliation(s)
- Raphaël Cinotti
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France; UMR 1246 SPHERE "MethodS in Patients-centered outcomes and HEalth Research", University of Nantes, University of Tours, INSERM, IRS2 22 Boulevard Benoni Goulin, 44200 Nantes, France.
| | - Antoine Roquilly
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France; Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France
| | - Alice Chopin
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France
| | - Florian Pierre Martin
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France; Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France
| | - Yoanna Morato
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France
| | - Céline Lerebourg
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France
| | - Jean Denis Moyer
- Department of Anesthesiology and Critical Care, Beaujon Hospital, DMU Parabol, AP-HP Nord, Paris
| | - Olivier Huet
- Centre Hospitalier Universitaire de Brest, Anaesthesia and Intensive Care Unit, Brest, France
| | - Sigismond Lasocki
- Centre Hospitalier Universitaire d'Angers, Anaesthesia and Intensive Care Unit, Angers, France
| | - Benjamin Cohen
- Centre Hospitalier Universitaire de Tours, Anaesthesia and Intensive Care Unit, Tours, France
| | - Claire Dahyot-Fizelier
- Centre Hospitalier Universitaire de Potiers, Anaesthesia and Intensive Care Unit, Poitiers, France
| | - Kevin Chalard
- Centre Hospitalier Universitaire de Montpellier, Anaesthesia and Intensive Care Unit, Montpellier, France
| | - Philippe Seguin
- Centre Hospitalier Universitaire de Rennes, Anaesthesia and Intensive Care Unit, Rennes, France
| | - Amandine Chenet
- CHU Nantes, Nantes Université, Department of Rehabilitation, Hôpital Saint-Jacques, F-44000 Nantes, France
| | - Brigitte Perrouin-Verbe
- CHU Nantes, Nantes Université, Department of Rehabilitation, Hôpital Saint-Jacques, F-44000 Nantes, France
| | - Debajyoti Sinha
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France
| | - Karim Asehnoune
- CHU Nantes, Nantes Université, Department of Anaesthesia and critical care, Hôtel Dieu, F-44000 Nantes, France; Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France
| | - Fanny Feuillet
- UMR 1246 SPHERE "MethodS in Patients-centered outcomes and HEalth Research", University of Nantes, University of Tours, INSERM, IRS2 22 Boulevard Benoni Goulin, 44200 Nantes, France; Plateforme de Méthodologie et Biostatistique, Direction Recherche et Innovation, CHU Nantes, France
| | - Véronique Sébille
- UMR 1246 SPHERE "MethodS in Patients-centered outcomes and HEalth Research", University of Nantes, University of Tours, INSERM, IRS2 22 Boulevard Benoni Goulin, 44200 Nantes, France; Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, F-44000 Nantes, France
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