Study type

Study topic

DiseaseĀ /health condition

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology

Data collection methods

Combined primary data collection and secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Cross-sectional
Other

Non-interventional study design, other

Prospective, nationwide, multi-centre observational study
Study drug and medical condition

Medical condition to be studied

Subarachnoid haemorrhage

Additional medical condition(s)

Aneurysmal subarachnoid hemorrhage
Population studied

Short description of the study population

Patients with aneurysmal subarachnoid hemorrhage (aSAH) identified from 11 centres across France.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Patients with subarachnoid haemorrhage

Estimated number of subjects

400
Study design details

Main study objective

To assess and compare the humanistic burden of illness associated with the development of delayed cerebral ischaemia following aneurysmal subarachnoid hemorrhage among patients and their caregivers.

Outcomes

The following patient outcomes will be assessed and compared at each follow-up time-point, unless otherwise stated: - Functional impairment - Cognitive impairment - Health-related quality of life - Activities of daily living - Mood - Return to work among employed patients at 12 months - Return to school/education among patients at 12 months - Work productivity/absenteeism at 12 months, The following caregiver outcomes will be assessed and compared at each follow-up time-point, unless otherwise stated: - Health-related quality of life - Caregiver subjective burden - Caregiver objective burden - Mood - Return to work, where relevant at 12 months - Return to school/education, where relevant at 12 months - Work productivity/absenteeism, where relevant at 12 months

Data analysis plan

Descriptive statistics will be used to describe and compare participant demographic and clinical characteristics according to patient DCI status. Propensity score methods will be used to balance differences between patients and the caregivers of patients who did and did not develop DCI. Propensity scores will be derived for each participant using a logistic regression model including pre-specified confounders such as age, World Federation of Neurosurgical Societies grade, Modified Fisher scale, aneurysm size, aneurysm-securing procedure. Thereafter, the groups will be balanced using the Inverse Probability of Treatment Weighting (IPTW). Appropriate models (mixed effects logistic regression for binary variables, mixed effects linear regression model for continuous variables and count or rate variables) will be used to compare patient and caregiver outcomes according to DCI status, accounting for IPTW.