Burden of suspected epileptic seizures on emergency services: A population-based study.

BACKGROUND AND PURPOSE: Patients with acute epileptic seizures form a large patient group in emergency neurology. This study aims to determine the burden caused by suspected epileptic seizures at different steps in emergency care. METHODS: A retrospective, cross-sectional, population-based (>1,000,000 inhabitants), 4-year (2015-2018) study was conducted in an urban setting with a single dispatch centre, a university hospital-affiliated emergency medical service (EMS), and five emergency departments (EDs). The study covered all adult (≥16 years old) emergency neurology patients receiving medical attention due to suspected epileptic seizures from the EMS and EDs and during hospital admissions in the Helsinki metropolitan area. RESULTS: Epileptic seizures were suspected in 14,364 EMS calls, corresponding to 3.3% of all EMS calls during the study period. 9,112 (63.4%) cases were transported to hospital due to suspected epileptic seizures, and 3368 (23.4%) were discharged on the scene. 6969 individual patients had 11,493 seizure-related ED visits, accounting for 3.1% of neurology- and internal medicine-related ED visits and 4607 hospital admissions were needed with 3 days' median length of stay (IQR=4, Range 1-138). Male predominance was noticeable at all stages (EMS 64.7%, EDs 60.1%, hospital admissions 56.2%). The overall incidence was 333/100,000 inhabitants/year for seizure-related EMS calls, 266/100,000 inhabitants/year for ED visits and 107/100,000 inhabitants/year for hospital admissions. Total estimated costs were 6.8 million €/year, corresponding to 0.5% of all specialized healthcare costs in the study area. CONCLUSIONS: Patients with suspected epileptic seizures cause a significant burden on the health care system. Present-day epidemiological data are paramount when planning resource allocation in emergency services.

Hospital-administered ECPR for out-of-hospital cardiac arrest: an observational cohort study.

BACKGROUND: Extracorporeal cardiopulmonary resuscitation (ECPR) is a treatment method for refractory out-of-hospital cardiac arrest (OHCA) requiring a complex chain of care. METHODS: All cases of OHCA between 1 January 2016 and 31 December 2021 in the Helsinki University Hospital catchment area in which the ECPR protocol was activated were included in the study. The protocol involved patient transport from the emergency site with ongoing mechanical cardiopulmonary resuscitation (CPR) directly to the cardiac catheterisation laboratory where the implementation of extracorporeal membrane oxygenation (ECMO) was considered. Cases of hypothermic cardiac arrest were excluded. The main outcomes were the number of ECPR protocol activations, duration of prehospital and in-hospital time intervals, and whether the ECPR candidates were treated using ECMO or not. RESULTS: The prehospital ECPR protocol was activated in 73 cases of normothermic OHCA. The mean patient age (SD) was 54 (±11) years and 67 (91.8%) of them were male. The arrest was witnessed in 67 (91.8%) and initial rhythm was shockable in 61 (83.6%) cases. The median ambulance response time (IQR) was 9 (7-11) min. All patients received mechanical CPR, epinephrine and/or amiodarone. Seventy (95.9%) patients were endotracheally intubated. The median (IQR) highest prehospital end-tidal CO2 was 5.5 (4.0-6.9) kPa.A total of 37 (50.7%) patients were treated with venoarterial ECMO within a median (IQR) of 84 (71-105) min after the arrest. Thirteen (35.1%) of them survived to discharge and 11 (29.7%) with a cerebral performance category (CPC) 1-2. In those ECPR candidates who did not receive ECMO, 8 (22.2%) received permanent return of spontaneuous circulation during transport or immediately after hospital arrival and 6 (16.7%) survived to discharge with a CPC 1-2. CONCLUSIONS: Half of the ECPR protocol activations did not lead to ECMO treatment. However, every fourth ECPR candidate and every third patient who received ECMO-facilitated resuscitation at the hospital survived with a good neurological outcome.

Prehospital COVID-19 patients discharged at the scene - an observational study.

BACKGROUND: Emergency medical services (EMS) were the first point of contact for many COVID-19 patients during the pandemic. The aim of this study was to investigate whether the non-conveyance decision of a COVID-19 patient was more frequently associated with a new EMS call than direct ambulance transport to the hospital. METHODS: All confirmed COVID-19 patients with an EMS call within 14 days of symptom onset were included in the study. Patients were compared based on their prehospital transport decision (transport vs. non-conveyance). The primary endpoint was a new EMS call within 10 days leading to ambulance transport. RESULTS: A total of 1 286 patients met the study criteria; of these, 605 (47.0%) were male with a mean (standard deviation [SD]) age of 50.5 (SD 19.3) years. The most common dispatch codes were dyspnea in 656 (51.0%) and malaise in 364 (28.3%) calls. High-priority dispatch was used in 220 (17.1%) cases. After prehospital evaluation, 586 (45.6%) patients were discharged at the scene. Oxygen was given to 159 (12.4%) patients, of whom all but one were transported. A new EMS call leading to ambulance transport was observed in 133 (10.3%) cases; of these, 40 (30.1%) were in the group primarily transported and 93 (69.9%) were among the patients who were primarily discharged at the scene (p<.001). There were no significant differences in past medical history, presence of abnormal vital signs, or total NEWS score. Supplemental oxygen was given to 33 (24.8%) patients; 3 (2.3%) patients received other medications. CONCLUSION: Nearly half of all prehospital COVID-19 patients could be discharged at the scene. Approximately every sixth of these had a new EMS call and ambulance transport within the following 10 days. No significant deterioration was seen among patients primarily discharged at the scene. EMS was able to safely adjust its performance during the first pandemic wave to avoid ED overcrowding.

Comparison of large vessel occlusion scales using prehospital patient reports.

BACKGROUND: Prehospital identification of large vessel occlusion (LVO) holds significant potential to decrease the onset-to-treatment time. Several prehospital scales have been developed to identify LVO but data on their comparison has been limited. The aim of this study was to review the currently available prehospital LVO scales and compare their performance using prehospital data. METHODS: All patients transported by ambulance using stroke code on a six-month period were enrolled into the study. The prehospital patient reports were retrospectively evaluated by two investigators using sixteen LVO scales identified by literature search and expert opinion. After the evaluation, the computed tomography angiography results were reviewed by a neuroradiologist to confirm or exclude LVO. RESULTS: Sixteen different LVO scales met the predetermined study criteria and were selected for further comparison. Using them, a total of 610 evaluations were registered. The sensitivity of the scales varied between 8%-73%, specificity between 71%-97% and overall accuracy between 71%-87%. The areas under curve (AUC) varied between 0.61-0.80 for the whole scale range and 0.53%-0.74 for the scales' binary cut-offs. The Field Assessment Stroke Triage for Emergency Destination (FAST-ED) was the only scale with AUC > 0.8. Regarding scales' binary cut-offs, The FAST-ED (0.70), Gaze - Face Arm Speech Time (G-FAST) (0.74) and Emergency Medical Stroke Assessment (EMSA) (0.72) were the only scales with AUC > 0.7. CONCLUSIONS: In a comparison of 16 different LVO scales, the FAST-ED, G-FAST and EMSA achieved the highest overall performance.

Ambulance crew-initiated non-conveyance in the Helsinki EMS system-A retrospective cohort study.

BACKGROUND: Ambulance patients are usually transported to the hospital in the emergency medical service (EMS) system. The aim of this study was to describe the non-conveyance practice in the Helsinki EMS system and to report mortality following non-conveyance decisions. METHODS: All prehospital patients ≥16 years attended by the EMS but not transported to a hospital during 2013-2017 were included in the study. EMS mission- and patient-related factors were collected and examined in relation to patient death within 30 days of the EMS non-conveyance decision. RESULTS: The EMS performed 324,207 missions with a patient during the study period. The patient was not transported in 95,909 (29.6%) missions; 72,233 missions met the study criteria. The patient mean age (standard deviation) was 59.5 (22.5) years; 55.5% of patients were female. The most common dispatch codes were malaise (15.0%), suspected decline in vital signs (14.0%), and falling over (12.9%). A total of 960 (1.3%) patients died within 30 days after the non-conveyance decision. Multivariate logistic regression analysis revealed that mortality was associated with the patient's inability to walk (odds ratio 3.19, 95% confidence interval 2.67-3.80), ambulance dispatch due to shortness of breath (2.73, 2.27-3.27), decreased level of consciousness (2.72, 1.75-4.10), decreased blood oxygen saturation (2.64, 2.27-3.06), and abnormal systolic blood pressure (2.48, 1.79-3.37). CONCLUSION: One-third of EMS missions did not result in patient transport to the hospital. Thirty-day mortality was 1.3%. Abnormalities in multiple respiratory-related vital signs were associated with an increased likelihood of death within 30 days.

"A" stands for airway - Which factors guide the need for on-scene airway management in facial fracture patients?

BACKGROUND: Numerous guidelines highlight the need for early airway management in facial trauma patients since specific fracture patterns may induce airway obstruction. However, the incidence of these hallmark injuries, including flail mandibles and posterior displacement of the maxilla, is contentious. We aim to evaluate specific trauma-related variables in facial fracture patients, which affect the need for on-scene versus in-hospital airway management. METHODS: This retrospective cohort study included all patients with any type of facial fracture, who required early airway management on-scene or in-hospital. The primary outcome variable was the site of airway management (on-scene versus hospital) and the main predictor variable was the presence of a traumatic brain injury (TBI). The association of fracture type, mechanism, and method for early airway management are also reported. Altogether 171 patients fulfilled the inclusion criteria. RESULTS: Of the 171 patients included in the analysis, 100 (58.5) had combined midfacial fractures or combination fractures of facial thirds. Altogether 118 patients (69.0%) required airway management on-scene and for the remaining 53 patients (31.0%) airway was secured in-hospital. A total of 168 (98.2%) underwent endotracheal intubation, whereas three patients (1.8%) received surgical airway management. TBIs occurred in 138 patients (80.7%), but presence of TBI did not affect the site of airway management. Younger age, Glasgow Coma Scale-score of eight or less, and oro-naso-pharyngeal haemorrhage predicted airway management on-scene, whereas patients who had fallen at ground level and in patients with facial fractures but no associated injuries, the airway was significantly more often managed in-hospital. CONCLUSIONS: Proper preparedness for airway management in facial fracture patients is crucial both on-scene and in-hospital. Facial fracture patients need proper evaluation of airway management even when TBI is not present.

Prehospital identification of large vessel occlusion using the FAST-ED score.

OBJECTIVES: The prehospital identification of stroke patients with large vessel occlusion (LVO) enables appropriate hospital selection and reduces the onset-to-treatment time. The aim of this study was to investigate whether the Field Assessment Stroke Triage for Emergency Destination (FAST-ED) scale could be reconstructed from existing prehospital patient reports and to compare its performance with neurologist's clinical judgement using the same prehospital data. MATERIALS & METHODS: All patients transported by ambulance using stroke code on a six-month period were registered for the study. The prehospital patient reports were retrospectively evaluated using the FAST-ED scale by two investigators. The performance of FAST-ED score (≥4 points) in LVO identification was compared to neurologist's clinical judgement ('LVO or not'). The presence of LVO was verified using computed tomography angiography imaging. RESULTS: A total of 610 FAST-ED scores were obtained. The FAST-ED had a sensitivity of 57.8%, specificity of 87.2%, positive predictive value (PPV) of 37.3%, negative predictive value (NPV) of 93.4% and area under curve (AUC) of 0.724. Interclass correlation coefficient for both raters over the entire range of FAST-ED was 0.92 (0.88-0.94). The neurologist's clinical judgement raised sensitivity to 79.4%, NPV to 97.1% and PPV to 45.0% with an AUC of 0.837 (p < .05). CONCLUSIONS: The existing patient report data could be feasibly used to reconstruct FAST-ED scores to identify LVO. The binary FAST-ED score had a moderate sensitivity and good specificity for prehospital LVO identification. However, the FAST-ED was surpassed by neurologist's clinical judgement which further increased the sensitivity of identification.

Deep odontogenic infections-identifying risk factors for nosocomial pneumonia.

OBJECTIVES: To evaluate occurrence and risk factors for pneumonia in patients with deep odontogenic infection (OI). MATERIALS AND METHODS: All patients treated for deep OIs and requiring intensive care and mechanical ventilation were included. The outcome variable was diagnosis of nosocomial pneumonia. Primary predictor variables were re-intubation and duration of mechanical ventilation. The secondary predictor variable was length of hospital stay (LOHS). The explanatory variables were gender, age, current smoking, current heavy alcohol and/or drug use, diabetes, and chronic pulmonary disease. RESULTS: Ninety-two patients were included in the analyses. Pneumonia was detected in 14 patients (15%). It was diagnosed on postoperative day 2 to 6 (median 3 days, mean 3 days) after primary infection care. Duration of mechanical ventilation (p = 0.028) and LOHS (p = 0.002) correlated significantly with occurrence of pneumonia. In addition, re-intubation (p = 0.004) was found to be significantly associated with pneumonia; however, pneumonia was detected in 75% of these patients prior to re-intubation. Two patients (2%) died during intensive care unit stay, and both had diagnosed nosocomial pneumonia. Smoking correlated significantly with pneumonia (p = 0.011). CONCLUSION: Secondary pneumonia due to deep OI is associated with prolonged hospital care and can predict the risk of death. Duration of mechanical ventilation should be reduced with prompt and adequate OI treatment, whenever possible. Smokers with deep OI have a significantly higher risk than non-smokers of developing pneumonia. CLINICAL RELEVANCE: Nosocomial pneumonia is a considerable problem in OI patients with lengthy mechanical ventilation. Prompt and comprehensive OI care is required to reduce these risk factors.

Cutting the Prehospital On-Scene Time of Stroke Thrombolysis in Helsinki: A Prospective Interventional Study.

BACKGROUND AND PURPOSE: Significant portion of the prehospital delay consists of minutes spent on the scene with the patient. We implemented a training program for the emergency medical services personnel with the aim to optimize the on-scene time (OST) and to study the impact of different elements of prehospital practice to the OST duration. METHODS: In this prospective interventional study, key operational emergency medical service performance variables were analyzed from all thrombolysis candidates transported to the Helsinki University Hospital emergency department. The catchment period was 4 months before and 4 months after the implementation. RESULTS: One hundred and forty-one patients were managed as thrombolysis candidates before and 148 patients after the training program implementation. The OST duration for the groups was 25 (20.5-31) and 22.5 (18-28.5) minutes, respectively (P<0.001). Physician consultations via telephone were associated with a longer (odds ratio 0.546 [0.333-0.893]) and advanced life support training with a shorter OST (odds ration 1.760 [1.070-2.895]). CONCLUSIONS: Implementation of the emergency medical services training program successfully decreased the OST of thrombolysis candidates by 10%. Higher expertise level of the ambulance crew was associated with shorter OST, and decisions to consult a physician via telephone were reflected by longer OST.

Assessing Stroke Awareness and Behavioural Response Following the National 'Act Fast' Stroke Awareness Campaign - Insights from a Cross-Sectional Survey in Qatar.

Evaluating stroke campaigns and associated behavioural changes is crucial to assess intervention effectiveness and inform future strategies. We aimed to evaluate patient's and bystanders' foreknowledge of stroke signs and symptoms and their response at stroke onset. We interviewed stroke patients using a validated questionnaire or their bystanders if the stroke patient had disabling stroke. The questionnaire was administered to 165 participants, 142 (86.1%) stroke patients and 23 (13.9%) bystanders. The mean age was 52.6 (SD = 11.7), and male-female ratio was 7:1. Among the participants, 33 (20.1%) had foreknowledge of stroke signs, and of these, 27 (16.5%) were aware of the stroke campaign in Qatar. The behavioural responses at stroke onset included; activating Emergency Medical Services (EMS) (n = 55, 33.3%), calling friends/relatives (n = 69, 41.8%), driving to hospital (n = 33, 20%), waiting for improvement in condition (n = 21, 12.7%). There was no association of ethnicity, marital status, or campaign awareness with EMS activation. Despite limited community awareness of stroke signs and campaign, help-seeking behaviour through EMS activation was generally high, underscoring the need for focused educational efforts and public health interventions.

Epidemiological profile of stroke in Qatar: Insights from a seven-year observational study.

OBJECTIVES: Stroke prevalence is progressively increasing in developing countries due to increased vascular risk factors. This study aims to describe the epidemiology, prevalent risk factors, and outcomes of stroke in a multi-ethnic society of Qatar. MATERIALS AND METHODS: We conducted a retrospective analysis of all patients with suspected stroke admitted to stroke services between January 2014 and September 2020. RESULTS: A total of 11,892 patients were admitted during this period with suspected stroke. Of these, the diagnosis was ischemic stroke (48.8 %), transient ischemic attack (10.3 %), intracerebral hemorrhage (10.9 %), cerebral venous sinus thrombosis (1.3 %), and stroke mimics (28.6 %). The median age was 52 (43-62), with a male-female ratio of 3:1. The study population was predominantly Asian (56.8 %) and Arab (36 %). The majority of the patients were hypertensive (66.8 %), diabetic (47.9 %), and dyslipidemic (45.9 %). A history of prior stroke was observed in 11.7 %, while 0.9 % had prior transient ischemic attack. Among ischemic strokes, 31.7 % arrived within 4.5 h, 12.5 % received thrombolysis, and 4.6 % underwent thrombectomy. Median Door-to-Needle time was 51 (33-72) minutes. The average length of stay was 5.2 ± 9.0 days, with 71.5 % discharged home, 13.8 % transferred to rehabilitation, 9.3 % to other specialties, 3 % to long-term care, and 2.4 % suffered in-hospital mortality. CONCLUSION: Stroke in Qatar is characterized by a younger, expatriate-dominant cohort, with notable prevalence of ischemic and hemorrhagic stroke and a distinct risk factor profile. Further analysis of epidemiological differences among different population groups can inform targeted policies for prevention and management to reduce the burden of disease.

Differences in characteristics and infection severity between odontogenic and other bacterial oro-naso-pharyngeal infections.

BACKGROUND: Different bacterial infections of the oro-naso-pharyngeal (ONP) region may progress and require hospital care. The present study clarified differences in infection characteristics between hospitalized patients with odontogenic infections (OIs) and other bacterial ONP infections. The specific aim was to evaluate clinical infection variables and infection severity according to infection aetiology, particularly regarding features of OIs compared with other ONPs. METHODS: Records of patients aged ≥16 years requiring hospital care for an acute bacterial ONP infection in the emergency units of Otorhinolaryngology or Oral and Maxillofacial Surgery at the Helsinki University Hospital (Helsinki, Finland) during 2019 were evaluated retrospectively. The main outcome variables were need for intensive care unit (ICU) treatment and length of hospital stay. The primary predictor variable was infection category, defined as OI or other ONP. The secondary predictor variable was specific ONP infection group. Additional predictor variables were primary clinical infection signs, infection parameters at hospital admission, and delay from beginning of symptoms to hospitalization. Explanatory variables were sex, age, current smoking, heavy alcohol use or substance abuse, and immunosuppressive disease, immunosuppressive medication, or both. Comparison of study groups was performed using Fisher's exact test, student's t-test, and Mann-Whitney U. RESULTS: A total of 415 patients with bacterial ONPs fulfilled the inclusion criteria. The most common infections were oropharyngeal (including peritonsillar, tonsillar, and parapharyngeal infections; 51%) followed by infections from the odontogenic origin (24%). Clinical features of OIs differed from other ONPs. Restricted mouth opening, skin redness, or facial or neck swelling (or both) were found significantly more often in OIs (p < 0.001). OIs required ICU care significantly more often than other ONPs (p < 0.001) and their hospital stay was longer (p = 0.017). CONCLUSIONS: Infections originating from the tonsillary and dental origin had the greatest need for hospitalization. Clinical features of OIs differed; the need for ICU treatment was more common and hospital stay was longer compared with other ONPs. Preventive care should be emphasized regarding OIs, and typical infection characteristics of ONP infection subgroups should be highlighted to achieve early and prompt diagnosis and treatment and to reduce hospitalization time.

Prehospital characteristics of COVID-19 patients in Helsinki - experience of the first wave of the pandemic.

BACKGROUND: There is a lack of knowledge how patients with COVID-19 disease differ from patients with similar signs or symptoms (but who will have a diagnosis other than COVID-19) in the prehospital setting. The aim of this study was to compare the characteristics of these two patient groups met by the emergency medical services. METHODS: All prehospital patients after the World Health Organisation (WHO) pandemic declaration 11.3.2020 until 30.6.2020 were recruited for the study. The patients were screened using modified WHO criteria for suspected COVID-19. Data from the electronic prehospital patient reporting system were linked with hospital laboratory results to check the laboratory confirmation for COVID-19. For comparison, we divided the patients into two groups: screening- and laboratory-positive patients with a hospital diagnosis of COVID-19 and screening-positive but laboratory-negative patients who eventually received a different diagnosis in hospital. RESULTS: A total of 4157 prehospital patients fulfilled the criteria for suspected COVID-19 infection during the study period. Five-hundred-thirty-six (12.9%) of the suspected cases received a laboratory confirmation for COVID-19. The proportion of positive cases in relation to suspected ones peaked during the first 2 weeks after the declaration of the pandemic. In the comparison of laboratory-positive and laboratory-negative cases, there were clinically insignificant differences between the groups in age, tympanic temperature, systolic blood pressure, heart rate, on-scene time, urgency category of the call and mode of transportation. Foreign-language-speakers were overrepresented amongst the positive cases over native language speakers (26,6% vs. 7,4%, p < 0,001). The number of cases in which no signs or symptoms of COVID-19 disease were reported, but patients turned out to have a positive test result was 125 (0,3% of the whole EMS patient population and 11,9% of all verified COVID-19 patients encountered by the EMS). CONCLUSIONS: In a sample of suspected COVID-19 patients, the laboratory-positive and laboratory-negative patients were clinically indistinguishable from each other during the prehospital assessment. Foreign-language-speakers had a high likelihood of having Covid-19. The modified WHO criteria still form the basis of screening of suspected COVID-19 patients in the prehospital setting.

Targets for improving dispatcher identification of acute stroke.

BACKGROUND: Accurate identification of acute stroke by Emergency Medical Dispatchers (EMD) is essential for timely and purposeful deployment of Emergency Medical Services (EMS), and a prerequisite for operating mobile stroke units. However, precision of EMD stroke recognition is currently modest. AIMS: We sought to identify targets for improving dispatcher stroke identification. METHODS: Dispatch codes and EMS patient records were cross-linked to investigate factors associated with an incorrect dispatch code in a prospective observational cohort of 625 patients with a final diagnosis of acute stroke or transient ischemic attack (TIA), transported to our stroke center as candidates for recanalization therapies. Call recordings were analyzed in a subgroup that received an incorrect low-priority dispatch code indicating a fall or unknown acute illness (n = 46). RESULTS: Out of 625 acute stroke/TIA patients, 450 received a high-priority stroke dispatch code (sensitivity 72.0%; 95% CI, 68.5-75.5). Independent predictors of dispatcher missed acute stroke included a bystander caller (aOR, 3.72; 1.48-9.34), confusion (aOR, 2.62; 1.59-4.31), fall at onset (aOR, 1.86; 1.24-2.78), and older age (aOR [per year], 1.02; 1.01-1.04). Of the analyzed call recordings, 71.7% revealed targets for improvement, including failure to recognize a Face Arm Speech Time (FAST) test symptom (21/46 cases, 18 with speech disturbance), or failure to thoroughly evaluate symptoms (12/46 cases). CONCLUSIONS: Based on our findings, efforts to improve dispatcher stroke identification should primarily focus on improving recognition of acute speech disturbance, and implementing screening of FAST-symptoms in emergency phone calls revealing a fall or confusion. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov . Unique identifier: NCT02145663.

Fire Engine Support and On-scene Time in Prehospital Stroke Care - A Prospective Observational Study.

UNLABELLED: Introduction On-scene time (OST) previously has been shown to be a significant component of Emergency Medical Services' (EMS') operational delay in acute stroke. Since stroke patients are managed routinely by two-person ambulance crews, increasing the number of personnel available on the scene is a possible method to improve their performance. Hypothesis Using fire engine crews to support ambulances on the scene in acute stroke is hypothesized to be associated with a shorter OST. METHODS: All patients transported to hospital as thrombolysis candidates during a one-year study period were registered by the ambulance crews using a case report form that included patient characteristics and operational EMS data. RESULTS: Seventy-seven patients (41 [53%] male; mean age of 68.9 years [SD=15]; mean Glasgow Coma Score [GCS] of 15 points [IQR=14-15]) were eligible for the study. Forty-five cases were managed by ambulance and fire engine crews together and 32 by the ambulance crews alone. The median ambulance response time was seven minutes (IQR=5-10) and the fire engine response time was six minutes (IQR=5-8). The number of EMS personnel on the scene was six (IQR=5-7) and two (IQR=2-2), and the OST was 21 minutes (IQR=18-26) and 24 minutes (IQR=20-32; P =.073) for the groups, respectively. In a following regression analysis, using stroke as the dispatch code was the only variable associated with short (<22 minutes) OST with an odds ratio of 3.952 (95% CI, 1.279-12.207). CONCLUSION: Dispatching fire engine crews to support ambulances in acute stroke care was not associated with a shorter on-scene stay when compared to standard management by two-person ambulance crews alone. Using stroke as the dispatch code was the only variable that was associated independently with a short OST. Puolakka T , Väyrynen T , Erkkilä E-P , Kuisma M . Fire engine support and on-scene time in prehospital stroke care - a prospective observational study. Prehosp Disaster Med. 2016;31(3):278-281.

Prehospital Phase of the Stroke Chain of Survival: A Prospective Observational Study.

BACKGROUND: Few studies have discussed the emergency call and prehospital care as a continuous process to decrease the prehospital and in-hospital delays for acute stroke. To identify features associated with early hospital arrival (<90 minutes) and treatment (<120 minutes), we analyzed the operation of current dispatch protocol and emergency medical services and compared stroke recognition by dispatchers and ambulance crews. METHODS AND RESULTS: This was a 2-year prospective observational study. All stroke patients who were transported to the hospital by emergency medical services and received recanalization therapy were recruited for the study. For a sample of 308 patients, the stroke code was activated in 206 (67%) and high priority was used in 258 (84%) of the emergency calls. Emergency medical services transported 285 (93%) of the patients using the stroke code and 269 (87%) using high priority. In the univariate analysis, the most dominant predictors of early hospital arrival were transport using stroke code (P=0.001) and high priority (P=0.002) and onset-to-call (P<0.0001) and on-scene times (P=0.052). In the regression analysis, the influences of high-priority transport (P<0.01) and onset-to-call time (P<0.001) prevailed as significant in both dichotomies of early arrival and treatment. The on-scene time was found to be surprisingly long (>23.5 minutes) for both early and late-arriving patients. CONCLUSIONS: Fast emergency medical services activation and ambulance transport promoted early hospital arrival and treatment. Although patient-dependent delays still dominate the prehospital process, it should be ensured that the minutes on the scene are well spent.

Sequential analysis of pretreatment delays in stroke thrombolysis.

OBJECTIVES: The aim was to determine if an intensive restructuring of the approach to acute stroke improved time to thrombolysis over a 3-year study period and to determine whether delay modifications correlated with increased thrombolytic intervention or functional outcome. METHODS: The study examined the pretreatment process to define specific time intervals (delays) of interest in the acute management of 289 consecutive ischemic stroke patients who were transported by the emergency medical services (EMS) and received intravenous (IV) thrombolytic therapy in the emergency department (ED) of Helsinki University Central Hospital. Time interval changes of the 3-year period and use of thrombolytics was measured. Functional outcome, measured with the modified Rankin Scale (mRS) at 3 months, was assessed with multivariable statistical analysis. RESULTS: During implementation of the restructuring program from 2003 to 2005, the median total time delay from symptom onset to drug administration dropped from 149 to 112 minutes (p < 0.0001). Prehospital delays did not change significantly during the study period. The median delay in calling an ambulance remained at 13 minutes, and the total median prehospital delay stayed at 71 minutes. In-hospital delays decreased from 67 to 34 minutes (p < 0.0001). The median call delay was 25 minutes in patients with mild symptoms (National Institute of Health Stroke Scale [NIHSS] score < 7) and 8 minutes with severe symptoms (NIHSS > 15). In the multivariate model, stroke severity (odds ratio [OR] = 0.83, 95% confidence interval [CI] = 0.78 to 0.88, p < 0.0001), age (OR = 0.57, 95% CI = 0.42 to 0.77, p < 0.0001), and in-hospital delay (OR = 0.47, 95% CI = 0.22 to 0.97, p = 0.04) were suggesting a good outcome. CONCLUSIONS: Restructuring of the teamwork between the EMS personnel and the reorganized ED significantly reduced in-hospital, but not prehospital, delays. The present data suggest that a decreased in-hospital delay improves the accessibility of the benefits of thrombolysis.