Frailty as a predictor of neurosurgical outcomes in brain tumor patients: A systematic review and meta-analysis

被引:17
作者
Zhu, Jinfeng [1 ,2 ]
Qiu, Xichenhui [3 ]
Ji, Cuiling [1 ]
Wang, Fang [1 ]
Tao, An [4 ]
Chen, Lu [1 ]
机构
[1] Affiliated Hosp Nanjing Univ, Nanjing Drum Tower Hosp, Med Sch, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ, Med Sch, Nanjing, Jiangsu, Peoples R China
[3] Shenzhen Univ, Hlth Sci Ctr, Shenzhen, Peoples R China
[4] Chinese Univ Hong Kong, Nethersole Sch Nursing, Hong Kong, Peoples R China
来源
FRONTIERS IN PSYCHIATRY | 2023年 / 14卷
关键词
brain tumor; frailty; neurosurgical outcomes; systematic review; mortality; postoperative complications; SURGERY; MORBIDITY; MORTALITY;
D O I
10.3389/fpsyt.2023.1126123
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Background: Patients with frailty are at a high risk of poor health outcomes, and frailty has been explored as a predictor of adverse events, such as perioperative complications, readmissions, falls, disability, and mortality in the neurosurgical literature. However, the precise relationship between frailty and neurosurgical outcomes in patients with brain tumor has not been established, and thus evidence-based advancements in neurosurgical management. The objectives of this study are to describe existing evidence and conduct the first systematic review and meta-analysis of the relationship between frailty and neurosurgical outcomes among brain tumor patients.Methods: Seven English databases and four Chinese databases were searched to identify neurosurgical outcomes and the prevalence of frailty among patients with a brain tumor, with no restrictions on the publication period. According to the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, two independent reviewers employed the Newcastle-Ottawa scale in cohort studies and JBI Critical Appraisal Checklist for Cross-sectional Studies to evaluate the methodological quality of each study. Then random-effects or fixed-effects meta-analysis was used in combining odds ratio (OR) or hazard ratio (RR) for the categorical data and continuous data of neurosurgical outcomes. The primary outcomes are mortality and postoperative complications, and secondary outcomes include readmission, discharge disposition, length of stay (LOS), and hospitalization costs.Results: A total of 13 papers were included in the systematic review, and the prevalence of frailty ranged from 1.48 to 57%. Frailty was significantly associated with increased risk of mortality (OR = 1.63; CI = 1.33-1.98; p < 0.001), postoperative complications (OR = 1.48; CI = 1.40-1.55; p < 0.001; I-2 = 33%), nonroutine discharge disposition to a facility other than home (OR = 1.72; CI = 1.41-2.11; p < 0.001), prolonged LOS (OR = 1.25; CI = 1.09-1.43; p = 0.001), and high hospitalization costs among brain tumor patients. However, frailty was not independently associated with readmission (OR = 0.99; CI = 0.96-1.03; p = 0.74).Conclusion: Frailty is an independent predictor of mortality, postoperative complications, nonroutine discharge disposition, LOS, and hospitalization costs among brain tumor patients. In addition, frailty plays a significant potential role in risk stratification, preoperative shared decision making, and perioperative management.
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页数:13
相关论文
共 42 条
  • [1] Frailty as a Predictor of Morbidity and Mortality in Inpatient Head and Neck Surgery
    Adams, Peter
    Ghanem, Tamer
    Stachler, Robert
    Hall, Francis
    Velanovich, Vic
    Rubinfeld, Ilan
    [J]. JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY, 2013, 139 (08) : 783 - 789
  • [2] Aromataris E., 2020, JBI MANUAL EVIDENCE, DOI [10.46658/JBIMES-20-01, 10.46658/jbimes-20-01, DOI 10.46658/JBIMES-20-01]
  • [3] Preoperative Frailty Increases Risk of Nonhome Discharge after Elective Vascular Surgery in Home-Dwelling Patients
    Arya, Shipra
    Long, Chandler A.
    Brahmbhatt, Reshma
    Shafii, Susan
    Brewster, Luke P.
    Veeraswamy, Ravi
    Johnson, Theodore M., II
    Johanning, Jason M.
    [J]. ANNALS OF VASCULAR SURGERY, 2016, 35 : 19 - 29
  • [4] Impact of frailty on short-term outcomes in patients undergoing transsphenoidal pituitary surgery
    Asemota, Anthony O.
    Gallia, Gary L.
    [J]. JOURNAL OF NEUROSURGERY, 2020, 132 (02) : 360 - 370
  • [5] Preoperative Cognitive and Frailty Screening in the Geriatric Surgical Patient: A Narrative Review
    Axley, Michael S.
    Schenning, Katie J.
    [J]. CLINICAL THERAPEUTICS, 2015, 37 (12) : 2666 - 2675
  • [6] GRADE guidelines: 3. Rating the quality of evidence
    Balshem, Howard
    Helfand, Mark
    Schuenemann, Holger J.
    Oxman, Andrew D.
    Kunz, Regina
    Brozek, Jan
    Vist, Gunn E.
    Falck-Ytter, Yngve
    Meerpohl, Joerg
    Norris, Susan
    Guyatt, Gordon H.
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2011, 64 (04) : 401 - 406
  • [7] Frailty Is Associated with In-Hospital Morbidity and Nonroutine Disposition in Brain Tumor Patients Undergoing Craniotomy
    Bonney, Phillip A.
    Chartrain, Alexander G.
    Briggs, Robert G.
    Jarvis, Casey A.
    Ding, Li
    Mack, William J.
    Zada, Gabriel
    Attenello, Frank A.
    [J]. WORLD NEUROSURGERY, 2021, 146 : E1045 - E1053
  • [8] Feasibility and Patient-Reported Outcomes After Outpatient Single-Level Instrumented Posterior Lumbar Interbody Fusion in a Surgery Center
    Chin, Kingsley R.
    Coombs, Andre V.
    Seale, Jason A.
    [J]. SPINE, 2015, 40 (01) : E36 - E42
  • [9] Frailty in elderly people
    Clegg, Andrew
    Young, John
    Iliffe, Steve
    Rikkert, Marcel Olde
    Rockwood, Kenneth
    [J]. LANCET, 2013, 381 (9868) : 752 - 762
  • [10] Cloney Michael, 2016, World Neurosurg, V89, P362, DOI 10.1016/j.wneu.2015.12.096