Subarachnoid Hemorrhage

Disease Overview

A stroke occurs when the blood supply to part of your brain is interrupted or reduced, preventing brain tissue from getting oxygen and nutrients. There are two main causes of stroke: a blocked artery (ischemic stroke) or leaking or bursting of a blood vessel (intracerebral hemorrhage and subarachnoid hemorrhage (combination is referred to as hemorrhagic stroke)). Some people may have only a temporary disruption of blood flow to the brain. This is known as a transient ischemic attack (TIA); symptoms of a TIA last less than 24 hours. While there are no long term-effects of TIAs, they have been shown to increase the risk of subsequent strokes.

Subarachnoid hemorrhage is the occurrence of bleeding into the space between the surface of the brain, or pia mater, and the arachnoid, one of three coverings of the brain. [Mayo-Clinic-SAH] [UCLA-Health]

GBD 2019 Modeling Strategy

GBD 2019 Non-Fatal Modeling Strategy

Stroke was defined according to WHO criteria - rapidly developing clinical signs of focal (at times global) disturbance of cerebral function lasting more than 24 hours or leading to death with no apparent cause other than that of vascular origin. Data on transient ischemic attack (TIA) were not included. [WHO-Stroke-Definition-SAH]. Subarachnoid hemorrhage is defined by GBD as bleeding into the subarachnoid space (the space between the arachnoid membrane and the pia mater of the brain or spinal cord) that is not caused by trauma. We model first ever strokes as acute events; recurrent strokes are captured in the chronic phase of the modeling process.

For subarachnoid hemorrhage, data using alternate definitions of incidence and excess mortality were adjusted relative to the reference case definition using MR-BRT. The reference case definition for subarachnoid hemorrhage is first ever, subtype-specific data which also includes subjects who did not survive to hospital admission. We incorporate data from scientific literature, registries, and administrative inpatient records in our analysis.

Severity split inputs:

See below for the details on the severity levels for acute and chronic subarachnoid hemorrhage in GBD and the associated disability weight (DW) with that severity. These values are valid only for results from GBD 2019 and GBD 2017.

Severity distribution for subarachnoid hemorrhage

Severity level

Acute or Chronic

Lay description

Modified Rankin score

Cognitive status

DW (95% CI)

Stroke, asymptomatic

Chronic only

0

N/A

0

Stroke, mild

Both

Has some difficulty in moving around and some weakness in one hand, but is able to walk without help

1

N/A

0.019 (0.01–0.032)

Stroke, moderate

Both

Has some difficulty in moving around, and in using the hands for lifting and holding things, dressing, and grooming.

2, 3

MoCA>=24 or MMSE>=26

0.07 (0.046–0.099)

Stroke, moderate plus cognition problems

Both

Has some difficulty in moving around, in using the hands for lifting and holding things, dressing and grooming, and in speaking. The person is often forgetful and confused.

2, 3

MoCA<24 or MMSE<26

0.316 (0.206–0.437)

Stroke, severe

Both

Is confined to bed or a wheelchair, has difficulty speaking, and depends on others for feeding, toileting, and dressing.

4, 5

MoCA>=24 or MMSE>=26

0.552 (0.377–0.707)

Stroke, severe plus cognition problems

Both

Is confined to bed or a wheelchair, depends on others for feeding, toileting, and dressing, and has difficulty speaking, thinking clearly, and remembering things.

MoCA<24 or MMSE<26

0.588 (0.411–0.744)

[GBD-2019-Capstone-Appendix-SAH]

GBD 2019 Fatal Modeling Strategy

Vital registration data were used as input data to model deaths from subarachnoid hemorrhage in CODEm. [GBD-2019-Capstone-Appendix-SAH]

Cause Hierarchy

../../../_images/cause_hierarchy_sah.svg

Restrictions

The following table describes any restrictions in GBD 2019 on the effects of this cause (such as being only fatal or only nonfatal), as well as restrictions on the ages and sexes to which the cause applies.

GBD 2019 Cause Restrictions

Restriction Type

Value

Notes

Male only

False

Female only

False

YLL only

False

YLD only

False

YLL age group start

0

[0, 7 days), age_group_id=2

YLL age group end

125

[95, 125 years), age_group_id=235

YLD age group start

0

[0, 7 days), age_group_id=2

YLD age group end

125

[95, 125 years), age_group_id=235

Vivarium Modeling Strategy

Scope

This cause model is designed to simulate the occurrence of first and recurrent acute subarachnoid hemorrhage. It is not designed to simulate recurrent events where the second event is a different type of stroke. When incorporating risk factors, BMI, SBP, LDL cholesterol, smoking, FPG, physical inactivity, and total alcohol consumption should affect transition rates 1 and 3 through the GBD measure of incidence for each stroke cause.

Assumptions and Limitations

Stroke cases are considered acute from the day of incidence of a first-ever stroke through day 28 following the event. The GBD category of chronic stroke includes the sequelae of an acute stroke AND all recurrent stroke events. Stroke cases are considered chronic beginning 28 days following the occurrence of an event. The incidence rate of first ever strokes and recurrent strokes are considered to be the same.

Cause Model Diagram

../../../_images/cause_model_stroke2.svg

State and Transition Data Tables

Definitions

State Definitions

State

State Name

Definition

S

Susceptible to Subarachnoid Hemorrhage

Simulant that has not already had an subarachnoid hemorrhage

A

Acute Subarachnoid Hemorrhage

Simulant that is in duration-based period starting day of incidence of a first-ever stroke through day 28 following the event

C

Chronic Subarachnoid Hemorrhage

Simulant that has survived more than 28 days following their last subarachnoid hemorrhage and who may be experiencing chronic elevated mortality and disability due to the event.

States Data

State Data

State

Measure

Value

Notes

All

cause-specific mortality rate (csmr)

\(\frac{\text{deaths_c497}}{\text{population}}\)

\(\text{D}_A\)

acute cause-specific mortality rate (csmr)

\(\frac{\text{acute_deaths_c497}}{\text{population}}\)

custom CSMR split

\(\text{D}_C\)

chronic cause-specific mortality rate (csmr)

\(\frac{\text{chronic_deaths_c497}}{\text{population}}\)

custom CSMR split

S

prevalence

\(1-\text{prevalence_c497}\)

A

prevalence

\(\sum\limits_{s \in sequelae} \text{acute_prevalence}_s\)

C

prevalence

\(\sum\limits_{s \in sequelae} \text{chronic_prevalence}_s\)

S

excess mortality rate (emr)

0

A

excess mortality rate (emr)

emr_m24710

C

excess mortality rate (emr)

emr_m18733

S

disability weight

0

A

disability weight

\(\frac{1}{\text{acute_prevalence_c497}} \times \sum\limits_{s \in sequelae} \text{disability_weight}_s \times \text{acute_prevalence}_s\)

C

disability weight

\(\frac{1}{\text{chronic_prevalence_c497}} \times \sum\limits_{s \in sequelae} \text{disability_weight}_s \times \text{chronic_prevalence}_s\)

Transition Data

Transition Data

Transition

Source

Sink

Value

Notes

1

S

A

incidence_c497

This is the population rate, not the susceptible rate

2

A

P

28 days

Duration-based transition from acute state into chronic state

3

C

A

incidence_c497

Assumption is that recurrent events have the same incidence rate as first ever events; population rate

4

A

\(\text{D}_A\)

emr_m24710

Excess mortality rate for acute subarachnoid hemorrhage w/ CSMR

5

C

\(\text{D}_C\)

emr_m18733

Excess mortality rate for chronic subarachnoid hemorrhage w/ CSMR

Data Sources

Data Sources

Measure

Sources

Description

Notes

prevalence_c497

como

Prevalence of subarachnoid hemorrhage

This is the prevalence of acute + chronic sequelae

deaths_c497

codcorrect

Deaths from subarachnoid hemorrhage

This is all deaths, regardless of whether the people are in the acute or chronic state

acute_csmr_c497

custom csv saved here: ‘/share/scratch/projects/cvd_gbd/cvd_re/simulation_science/stroke_CSMR_data/’ as ‘GBD2019_acute_subarachnoid_csmr_2021-05-20.csv’

Deaths from subarachnoid hemorrhage during the acute period

Custom CSMR calculation

chronic_csmr_c497

custom csv saved here: ‘/share/scratch/projects/cvd_gbd/cvd_re/simulation_science/stroke_CSMR_data/’ as ‘GBD2019_chronic_subarachnoid_csmr_2021-05-20.csv’

Deaths from subarachnoid hemorrhage during the chronic period

Custom CSMR calculation

incidence_c497

como

Incidence of subarachnoid hemorrhage

This is the population incidence rate for first ever acute stroke

Population

demography

Mid-year population for given age/sex/year/location

sequelae_c497

gbd_mapping

List of 11 sequelae for subarachnoid hemorrhage

prevalence_s{sid}

como

Prevalence of sequela with id sid

disability_weight_s{sid}

YLD appendix

Disability weight of sequela with id sid

emr_m18733

dismod-mr 2.1

excess mortality rate of chronic subarachnoid hemorrhage with CSMR

emr_m24710

dismod-mr 2.1

excess mortality rate of first ever acute subarachnoid hemorrhage with CSMR

acute_sequelae

sequelae definition

{s5168, s5171, s5174, s5177, s5180}

GBD 2019 and earlier only

chronic_sequelae

sequelae definition

{s5186, s5189, s5192, s5195, s5198, s5183}

GBD 2019 and earlier only

Validation Criteria

Compare CSMR experienced by simulants to CSMR from CoDCorrect in GBD

References

Mayo-Clinic-SAH

Stroke. Mayo Clinic, Mayo Foundation for Medical Education and Research, 9 Feb 2021. Retrieved 25 March 2021. https://www.mayoclinic.org/diseases-conditions/stroke/symptoms-causes/syc-20350113

UCLA-Health

Subarachnoid Hemorrhage. Subarachnoid Hemorrhage - UCLA Neuorsurgery, Los Angeles, CA, UCLA Health. Retrieved 25 March 2021. https://www.uclahealth.org/neurosurgery/subarachnoid-hemorrhage

WHO-Stroke-Definition-SAH

Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull WHO 54, 541- 553. 1976.

GBD-2019-Capstone-Appendix-SAH(1,2)

Appendix to: GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet. 17 Oct 2020;396:1204-1222