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Risk Prediction Models for Peri-Operative Mortality in Patients Undergoing Major Vascular Surgery with Particular Focus on Ruptured Abdominal Aortic Aneurysms: A Scoping Review
被引:5
|作者:
Grandi, Alessandro
[1
]
Bertoglio, Luca
[2
]
Lepidi, Sandro
[3
]
Koelbel, Tilo
[1
]
Mani, Kevin
[4
]
Budtz-Lilly, Jacob
[5
]
DeMartino, Randall
[6
]
Scali, Salvatore
[7
]
Hanna, Lydia
[8
]
Troisi, Nicola
[9
]
Calvagna, Cristiano
[3
]
D'Oria, Mario
[3
]
机构:
[1] Univ Heart & Vasc Ctr, Dept Vasc Med, D-20251 Hamburg, Germany
[2] ASST Spedali Civili Brescia, Dept Clin & Expt Sci, Div Vasc Surg, I-25123 Brescia, Italy
[3] Univ Hosp Trieste ASUGI, Cardiovasc Dept, Div Vasc & Endovasc Surg, I-34129 Trieste, Italy
[4] Uppsala Univ, Dept Surg Sci, Sect Vasc Surg, S-75105 Uppsala, Sweden
[5] Aarhus Univ Hosp, Dept Cardiovasc Surg, Div Vasc Surg, DK-8200 Aarhus, Denmark
[6] Mayo Clin, Div Vasc & Endovasc Surg, Rochester, MN 55905 USA
[7] Univ Florida, Div Vasc Surg & Endovasc Therapy, Gainesville, FL 32610 USA
[8] Imperial Coll London, Dept Surg & Canc, London SW7 5NH, England
[9] Univ Pisa, Dept Translat Res & New Technol Med & Surg, Vasc Surg Unit, I-56126 Pisa, Italy
关键词:
vascular surgery;
peri-operative mortality;
risk models;
scoping review;
ruptured AAA;
COMORBIDITY-POLYPHARMACY SCORE;
OPERATIVE SEVERITY SCORE;
IN-HOSPITAL MORTALITY;
LONG-TERM SURVIVAL;
ENDOVASCULAR REPAIR;
POSTOPERATIVE MORTALITY;
EXTERNAL VALIDATION;
OUTCOME PREDICTION;
CENTER VOLUME;
CARDIAC RISK;
D O I:
10.3390/jcm12175505
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Purpose. The present scoping review aims to describe and analyze available clinical data on the most commonly reported risk prediction indices in vascular surgery for perioperative mortality, with a particular focus on ruptured abdominal aortic aneurysm (rAAA). Materials and Methods. A scoping review following the PRISMA Protocols Extension for Scoping Reviews was performed. Available full-text studies published in English in PubMed, Cochrane and EMBASE databases (last queried, 30 March 2023) were systematically reviewed and analyzed. The Population, Intervention, Comparison, Outcome (PICO) framework used to construct the search strings was the following: in patients with aortic pathologies, in particular rAAA (population), undergoing open or endovascular surgery (intervention), what different risk prediction models exist (comparison), and how well do they predict post-operative mortality (outcomes)? Results. The literature search and screening of all relevant abstracts revealed a total of 56 studies in the final qualitative synthesis. The main findings of the scoping review, grouped by the risk score that was investigated in the original studies, were synthetized without performing any formal meta-analysis. A total of nine risk scores for major vascular surgery or elective AAA, and 10 scores focusing on rAAA, were identified. Whilst there were several validation studies suggesting that most risk scores performed adequately in the setting of rAAA, none reached 100% accuracy. The Glasgow aneurysm score, ERAS and Vancouver score risk scores were more frequently included in validation studies and were more often used in secondary studies. Unfortunately, the published literature presents a heterogenicity of results in the validation studies comparing the different risk scores. To date, no risk score has been endorsed by any of the vascular surgery societies. Conclusions. The use of risk scores in any complex surgery can have multiple advantages, especially when dealing with emergent cases, since they can inform perioperative decision making, patient and family discussions, and post hoc case-mix adjustments. Although a variety of different rAAA risk prediction tools have been published to date, none are superior to others based on this review. The heterogeneity of the variables used in the different scores impairs comparative analysis which represents a major limitation to understanding which risk score may be the "best" in contemporary practice. Future developments in artificial intelligence may further assist surgical decision making in predicting post-operative adverse events.
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页数:19
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