Clipping vs. coiling in acute aneurysmal subarachnoid haemorrhage: Should the patient's medical condition influence treatment modality?

INTRODUCTION: Acute subarachnoid haemorrhage (SAH) resulting from aneurysmal rupture is a medical condition associated with significant morbidity and mortality. Medical complications resulting from the bleeding itself, along with the patient's underlying medical conditions are known to represent possible prognostic factors in acute SAH. However, their respective significance on the patient's overall clinical outcome following either endovascular coiling (EC) or surgical clipping (SC) remains to be ascertained as well as their potential role in choosing a definitive treatment option. We thus reviewed the evidence concerning the patient's medical condition as a factor in this decision making process. METHODOLOGY: Source data were obtained from a MEDLINE search of the medical literature and by manual review of published randomised trials comparing EC to SC. RESULTS: The last three decades allowed for detection of medical complications with increasing frequency in the context of SAH, as awareness for them has improved. Despite the fact that a patient's extra-neurological condition can be a significant prognostic factor after a SAH, our review demonstrates that medical conditions in general were not taken into consideration in randomized trials comparing EC to SC. Also, we found no analysis comparing the potential role of prior versus post-SAH medical conditions in choosing either therapeutic avenue. CONCLUSION: It is not determined whether it is appropriate for SAH patients to be offered treatment for a ruptured aneurysm based mostly on anatomical criteria or if, within certain subgroups of patients, EC and SC should also be recommended in light of what the patient can tolerate from a medical standpoint. Although we hypothesize that in practice, the patient's medical condition is considered in the decision making process, it remains to be documented. Patient, aneurysm and institution-related factors are all interrelated, as is patient care. Data on all of these factors are thus needed and their analysis by association rather than by dissociation may be the key in answering our question.