Spinal cerebrospinal fluid (CSF) leaks, which are considered a cause of intracranial hypotension, generally do not cause any local symptoms. Although symptoms are key elements for further evaluation, few studies have examined symptom predictors of intracranial hypotension. The aim of this study was to determine what symptoms are predictors of CSF leaks in patients suspected of intracranial hypotension.

We performed radionuclide cisternography in 207 consecutive patients suspected of intracranial hypotension. Intracranial hypotension was suspected when a patient had a history of minor trauma and complained about uncontrolled headache, cranial nerve dysfunction, autonomic dysfunction, or higher brain dysfunction. The leakage of CSF was defined as direct signs of tracer leak into the spinal epidural space or early accumulation of the tracer in the urinary bladder. We obtained information on 16 symptoms commonly reported in previous studies.

CSF leaks were observed in 154 cases (74%). Back pain, limb pain, and limb numbness were inversely associated with CSF leaks (p = 0.042, p = 0.045, and p = 0.006, respectively). In logistic regression analysis, diplopia was a positive predictor of CSF leaks (odds ratio [OR], 6.53; 95% confidence interval [CI], 1.49 to 28.51), whereas limb numbness was a negative predictor (OR, 0.38; 95% CI, 0.17 to 0.84). Of the 21 patients in whom diplopia was present and limb numbness was absent, 20 had CSF leaks (specificity, 98%; positive predictive value, 95%).

Some symptoms may be helpful in the diagnosis of CSF leaks in patients suspected of intracranial hypotension.

Timely access to acute medical treatment can be critical for patients suffering from severe stroke. Little information is available about the impact of prehospital delays on the clinical conditions of stroke patients, but it is possible that prehospital delays lead to neurological deterioration. The aim of this study was to examine the impact of prehospital delays related to emergency medical services on the level of consciousness at admission in patients with severe stroke.

This retrospective study assessed 712 consecutive patients diagnosed with cerebrovascular diseases who were admitted to an intensive care unit in Tokyo, Japan, from April 1998 through March 2008. Data, including the time from the call to the ambulance service to the arrival of the ambulance at the patient location (on-scene), and the time from the arrival of the ambulance on-scene to its arrival at the emergency center were obtained. The following demographic and clinical information also were obtained from medical records: sex, age, and Glasgow Coma Scale (GCS) score at admission.

The mean time from ambulance call to arrival on-scene was 7 (SD=3) minutes, and the mean time from ambulance call to arrival at the center was 37 (SD=8) minutes. A logistic regression model for predicting GCS scores of 3 and 4 at admission was produced. After adjusting for sex, age, and time from arrival on-scene to arrival at the center, a longer call-to-on-scene time was significantly associated with poor GCS scores (OR = 1.056/min; 95% confidence interval, [CI] = 1.008-1.107). After adjusting for sex and age, a longer call-to-arrival at the center time also was significantly associated with poor GCS scores (OR = 1.020; 95% CI = 1.002-1.038).

Prehospital delays were significantly associated with decreased levels of consciousness at admission in patients suffering from a stroke. As level of consciousness is the strongest predictor of outcome, reducing prehospital delays may be necessary to improve the outcomes in patients with severe stroke.

OhwakiK, WatanabeT, ShinoharaT, NakagomiT, YanoE. Relationship Between Time from Ambulance Call to Arrival at Emergency Center and Level of Consciousness at Admission in Severe Stroke Patients. Prehosp Disaster Med. 2012;28(1):1-4.