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Krag CH, Speiser L, Dalby RB. Long-term outcomes of endovascular simple coiling versus neurosurgical clipping of unruptured intracranial aneurysms: A systematic review and meta-analysis. J Neurol Sci 2021; 422:117338. [PMID: 33596532 DOI: 10.1016/j.jns.2021.117338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 12/27/2020] [Accepted: 02/05/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Previous studies on ruptured intracranial aneurysms have shown favourable long-term outcomes of patients undergoing endovascular coiling compared to neurosurgical clipping. We aimed to evaluate if these results also apply to patients with unruptured intracranial aneurysms (UIAs). METHODS Embase, PubMed, and Cochrane Library were systematically searched for all studies reporting long-term (≥3 years) follow-up after coiling or clipping of UIAs. Thirteen studies involving 16,622 coiled patients and 13,606 clipped patients were included. Short-term outcome was defined as death ≤30 days after treatment. Long-term outcomes (>3 years) included all-cause mortality, morbidity (defined as modified Rankin Score 3-5 or Glasgow Outcome Score 2-3), cerebrovascular accident, intracerebral haemorrhage, additional repairs, and lost to follow-up. We calculated relative risk (RR), incidence and mortality rates (IR and MR), together with incidence and mortality rate ratio (IRR and MRR). RESULTS Patients treated with simple coiling had lower short-term mortality than clipped patients (RR = 0.62 (95%CI 0.42-0.91)), but this difference disappeared after long-term follow-up ((MRR) = 0.89 (95%CI: 0.78-1.02). Coiled patients had higher retreatment rates than clipped patients (IRR = 1.70 (95%CI 1.50-1.93)). CONCLUSIONS This systematic review and meta-analysis reports benefits and drawbacks of simple coiling versus neurosurgical clipping of UIAs. Future studies with longer follow-up time should account for differences in coiling techniques and confounding factors such as size and location of UIAs.
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Affiliation(s)
- Christian H Krag
- Health, Aarhus University, Vennelyst Boulevard 4, DK-8000 Aarhus C., Aarhus, Denmark
| | - Lasse Speiser
- Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, DK-8200 Aarhus N., Denmark
| | - Rikke B Dalby
- Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 165, DK-8200 Aarhus N., Denmark.
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Abi-Aad KR, Rahme RJ, Syal A, Patra DP, Hudson M, Richter KR, Ward JD, Knis J, Nak Y, Turcotte E, Welz ME, Winter J, Krishna C, Chong B, Bendok BR. Quality of Life of Patients with Unruptured Intracranial Aneurysms Before and After Endovascular Coiling: A HEAT Trial Secondary Study and Systematic Review of the Literature. World Neurosurg 2020; 146:e492-e500. [PMID: 33127571 DOI: 10.1016/j.wneu.2020.10.120] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND The study of quality of life (QOL) in patients with asymptomatic diseases receiving interventional treatment provides an essential metric for the assessment of procedural benefits in the surgical patient population. In this study, we analyzed QOL data collected from patients with unruptured intracranial aneurysms (UIAs) before and after endovascular coiling in the HEAT Trial, alongside a systematic review on QOL in unruptured brain aneurysms. METHODS HEAT was a randomized controlled trial comparing recurrence rates in aneurysms treated with either bare platinum coils or hydrogel coils. Patients enrolled in this trial completed a short form-36 (SF-36) QOL questionnaire before treatment and at the 3- to 12- and 18- to 24-month follow-ups. The change in QOL before and after treatment was assessed. Regression analysis evaluated the effect of select baseline characteristics on QOL change. RESULTS A total of 270 patients were eligible for analysis. There was an increase in the role physical (P = 0.043), vitality (P = 0.022), and emotional well-being (P < 0.001) QOL components at the 18- to 24-month follow-up compared with baseline scores. Regression analysis showed that age younger than 60 and absence of serious adverse events were associated with improved social functioning and vitality. The literature review showed a mixed effect of intervention on QOL in patients with UIAs. CONCLUSIONS Our analysis has revealed that patients with 3- to 14-mm UIAs had improvements in some physical and emotional components of QOL at 18-24 months following aneurysm coiling in the HEAT study. The literature remains indeterminate on this issue. Further studies are needed to better understand the effects of the diagnosis of UIAs and their treatment on QOL.
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Affiliation(s)
- Karl R Abi-Aad
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Rudy J Rahme
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Arjun Syal
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Devi P Patra
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Miles Hudson
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Kent R Richter
- Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Mayo Clinic Alix School of Medicine, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Jennifer D Ward
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois, USA
| | - Jason Knis
- Department of Neurological Surgery, Northwestern University, Chicago, Illinois, USA
| | - Yak Nak
- Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Evelyn Turcotte
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Matthew E Welz
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - JoDee Winter
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA
| | - Chandan Krishna
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA
| | - Brian Chong
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA
| | - Bernard R Bendok
- Department of Neurological Surgery, Mayo Clinic, Phoenix, Arizona, USA; Department of Otolaryngology, Mayo Clinic, Phoenix, Arizona, USA; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA; Precision Neuro-therapeutics Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA; Neurosurgery Simulation and Innovation Lab, Mayo Clinic, Phoenix, Arizona, USA.
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Algra AM, Lindgren A, Vergouwen MDI, Greving JP, van der Schaaf IC, van Doormaal TPC, Rinkel GJE. Procedural Clinical Complications, Case-Fatality Risks, and Risk Factors in Endovascular and Neurosurgical Treatment of Unruptured Intracranial Aneurysms: A Systematic Review and Meta-analysis. JAMA Neurol 2019; 76:282-293. [PMID: 30592482 PMCID: PMC6439725 DOI: 10.1001/jamaneurol.2018.4165] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 11/02/2018] [Indexed: 01/16/2023]
Abstract
Importance The risk of procedural clinical complications and the case-fatality rate (CFR) from preventive treatment of unruptured intracranial aneurysms varies between studies and may depend on treatment modality and risk factors. Objective To assess current procedural clinical 30-day complications and the CFR from endovascular treatment (EVT) and neurosurgical treatment (NST) of unruptured intracranial aneurysms and risk factors of clinical complications. Data Sources We searched PubMed, Excerpta Medica Database, and the Cochrane Database for studies published between January 1, 2011, and January 1, 2017. Study Selection Studies reporting on clinical complications, the CFR, and risk factors, including 50 patients or more undergoing EVT or NST for saccular unruptured intracranial aneurysms after January 1, 2000, were eligible. Data Extraction and Synthesis Per treatment modality, we analyzed clinical complication risk and the CFR with mixed-effects logistic regression models for dichotomous data. For studies reporting data on complication risk factors, we obtained risk ratios (RRs) or odds ratios (ORs) with 95% CIs and pooled risk estimates with weighted random-effects models. Main Outcomes and Measures Clinical complications within 30 days and the CFR. Results We included 114 studies (106 433 patients with 108 263 aneurysms). For EVT (74 studies), the pooled clinical complication risk was 4.96% (95% CI, 4.00%-6.12%), and the CFR was 0.30% (95% CI, 0.20%-0.40%). Factors associated with complications from EVT were female sex (pooled OR, 1.06 [95% CI, 1.01-1.11]), diabetes (OR, 1.81 [95% CI, 1.05-3.13]), hyperlipidemia (OR, 1.76 [95% CI, 1.3-2.37]), cardiac comorbidity (OR, 2.27 [95% CI, 1.53-3.37]), wide aneurysm neck (>4 mm or dome-to-neck ratio >1.5; OR, 1.71 [95% CI, 1.38-2.11]), posterior circulation aneurysm (OR, 1.42 [95% CI, 1.15-1.74]), stent-assisted coiling (OR, 1.82 [95% CI, 1.16-2.85]), and stenting (OR, 3.43 [95% CI, 1.45-8.09]). For NST (54 studies), the pooled complication risk was 8.34% (95% CI, 6.25%-11.10%) and the CFR was 0.10% (95% CI, 0.00%-0.20%). Factors associated with complications from NST were age (OR per year increase, 1.02 [95% CI, 1.01-1.02]), female sex (OR, 0.43 [95% CI, 0.32-0.85]), coagulopathy (OR, 2.14 [95% CI, 1.13-4.06]), use of anticoagulation (OR, 6.36 [95% CI, 2.55-15.85]), smoking (OR, 1.95 [95% CI, 1.36-2.79]), hypertension (OR, 1.45 [95% CI, 1.03-2.03]), diabetes (OR, 2.38 [95% CI, 1.54-3.67]), congestive heart failure (OR, 2.71 [95% CI, 1.57-4.69]), posterior aneurysm location (OR, 7.25 [95% CI, 3.70-14.20]), and aneurysm calcification (OR, 2.89 [95% CI, 1.35-6.18]). Conclusions and Relevance This study identifies risk factors for procedural complications. Large data sets with individual patient data are needed to develop and validate prediction scores for absolute complication risks and CFRs from EVT and NST modalities.
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Affiliation(s)
- Annemijn M. Algra
- Brain Center Rudolf Magnus, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Antti Lindgren
- Department of Neurosurgery, NeuroCenter, Kuopio University Hospital, Kuopio, Finland
- Department of Neurosurgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Mervyn D. I. Vergouwen
- Brain Center Rudolf Magnus, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jacoba P. Greving
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Irene C. van der Schaaf
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Tristan P. C. van Doormaal
- Brain Center Rudolf Magnus, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Gabriel J. E. Rinkel
- Brain Center Rudolf Magnus, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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