New clinical decision rule to exclude subarachnoid haemorrhage for acute headache: a prospective multicentre observational study.
To ensure good outcomes in the management of subarachnoid haemorrhage (SAH), accurate prediction is crucial for initial assessment of patients presenting with acute headache. We conducted this study to develop a new clinical decision rule using only objectively measurable predictors to exclude SAH, offering higher specificity than the previous Ottawa SAH Rule while maintaining comparable sensitivity.



Multicentre prospective cohort study.



Tertiary-care emergency departments of five general hospitals in Japan from April 2011 to March 2014.



Eligible patients comprised 1781 patients aged >15 years with acute headache, excluding trauma or toxic causes and patients who presented in an unconscious state.



Definitive diagnosis of SAH was based on confirmation of SAH on head CT or lumbar puncture findings of non-traumatic red blood cells or xanthochromia.



A total of 1561 patients were enrolled in this study, of whom 277 showed SAH. Using these enrolled patients, we reached a rule with mainly categorical predictors used in previous reports, called the 'Ottawa-like rule', offering 100% sensitivity when using any of age ≥40 years, neck pain or stiffness, altered level of consciousness or onset during exertion. Using the 1317 patients from whom blood samples were obtained, a new rule using any of systolic blood pressure >150 mm Hg, diastolic blood pressure >90 mm Hg, blood sugar >115 mg/dL or serum potassium <3.9 mEq/L offered 100% sensitivity (95% CI 98.6% to 100%) and 14.5% specificity (12.5% to 16.9%), while the Ottawa-like rule showed the same sensitivity with a lower specificity of 8.8% (7.2% to 10.7%).



While maintaining equal sensitivity, our new rule seemed to offer higher specificity than the previous rules proposed by the Ottawa group. Despite the need for blood sampling, this method can reduce unnecessary head CT in patients with acute headache.



UMIN 00004871.
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Shinjuku, Tokyo, Japan.
Akio
A
Kimura
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Shinjuku, Tokyo, Japan.
Kentaro
K
Kobayashi
Department of Intensive Care Medicine, Ogaki Municipal Hospital, Ogaki City, Gifu, Japan.
Hitoshi
H
Yamaguchi
Department of Emergency and Critical Care, National Hospital Organization Kumamoto Medical Center, Kumamoto City, Kumamoto, Japan.
Takeshi
T
Takahashi
Department of Emergency and Critical Care, National Hospital Organization Kumamoto Medical Center, Kumamoto City, Kumamoto, Japan.
Masahiro
M
Harada
Department of Emergency and Critical Care Medicine, Yokosuka General Hospital Uwamachi, Yokosuka City, Kanagawa, Japan.
Hideki
H
Honda
Emergency and Critical Care Center, Gifu Prefectural General Medical Center, Gifu City, Gifu, Japan.
Yoshio
Y
Mori
Department of Emergency Medicine and Critical Care, Center Hospital of the National Center for Global Health and Medicine, Shinjuku, Tokyo, Japan.
Keika
K
Hirose
Biostatistics Section, Department of Clinical Research and Informatics, Clinical Science Center, National Center for Global Health and Medicine, Shinjuku, Tokyo, Japan.
Noriko
N
Tanaka
D000208:Acute Disease; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D020000:Decision Support Systems, Clinical; D003937:Diagnosis, Differential; D005260:Female; D006261:Headache / Q000150:complications*; D006801:Humans; D007564:Japan; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012680:Sensitivity and Specificity; D013345:Subarachnoid Hemorrhage / Q000150:complications* / Q000175:diagnosis*; D055815:Young Adult
Blood pressure; Blood sugar; Computed tomography (CT); Serum potassium