Patient experience of non-conveyance in the EMS of Southwest Finland: a descriptive survey study.

BACKGROUND: Emergency Medical Services are dispatched more frequently than before. However, many non-urgent patients do not need ambulance transportation to a healthcare facility after evaluation and treatment on scene. This study explored the experiences of non-conveyed patients. Our research questions were: (1) How have non-conveyed patients experienced the service received from EMS? (2) Does a patient's age, gender, or time of the emergency call impact the patient's experience? METHODS: This descriptive survey study examined non-conveyed Emergency Medical Services patients in the Wellbeing Services County of Southwest Finland. The study period was from March 1, 2023, to March 31, 2023. The study population was 1017. They received a questionnaire that was sent by mail. The questionnaire was formed based on questions previously used in four different questionnaires. We received 247 answers (24.3% response rate). Percentages, medians with interquartile ranges, and non-parametric tests were used in the descriptive analyses. RESULTS: Non-conveyed patients were very satisfied with the paramedics' expertise and behavior, their ability to meet their individual needs, the sense of safety provided by the paramedics, and the instructions given to the patients. Time to receive help (19% rated 3 or less on a scale from 1 to 5), how paramedics introduced themselves (16.5%), and satisfaction with non-conveyance decisions (14.6%) were more frequently rated lower than other areas. Further, pain management stood out in the less favorable evaluations. Still, patients' experiences of the service were positive. The age group, gender, or time of the emergency call were not associated with patient experience. CONCLUSIONS: Patients were very satisfied with the paramedics' interpersonal skills. A more focused approach to pain management and developing EMS to ensure faster patient outreach and clearer explanations of non-conveyance decisions could further enhance the patient experience.

The role of emergency medical services in the management of in-hospital emergencies: Causes and outcomes of emergency calls - A descriptive retrospective register-based study.

BACKGROUND: Medical emergency teams (METs) are in place in some hospitals in Finland to respond to critical emergency events. However, in hospitals without dedicated METs, staff are instructed to call emergency medical services (EMS) to deal with emergencies. This study examined the reasons for calling EMS to hospitals and the outcomes of these calls. METHODS: Descriptive retrospective register-based study of the response and management of in-hospital emergencies by EMS in the wellbeing services county of Southwest Finland. Patient care reports of the EMS and those of the hospitals were analysed. RESULTS: In total, 138 medical emergencies managed by EMS were included in this study. 108 of these related to patients, and 25 related to hospital personnel. Cardiac arrest (n = 36) and a reduced level of consciousness (n = 29) were the most common in-hospital emergencies. In 68% of in-hospital emergencies managed by the EMS team, after calling 112, hospital personnel implemented various treatment measures. In 72% of cases, follow-up treatment was required. CONCLUSIONS: Hospital personnel are able to initiate medical measures in emergencies, even when no MET is available. Although EMS are important in responding to in-hospital emergencies, they seem to be performing the same role as METs.

Rethinking non-urgent EMS conveyance to ED during night-time - a pilot study in Southwest Finland.

BACKGROUND: The amount of emergency medical service missions has increased internationally in recent years, and emergency departments are overcrowded globally. Previous evidence has shown that patients arriving at the emergency department during nighttime (20 - 08) have to wait longer, are more likely to leave without being seen, and often have non-urgent conditions compared to patients arriving during the day. The objective of this pilot study was to examine what kind of patient groups are conveyed as non-urgent to the hospital by emergency medical service during nighttime and what kind of diagnostic tests and medical interventions those patients receive before morning to identify patient groups that could be non-conveyed or directed to alternative points of care. METHODS: This was a retrospective register study where the information of patients conveyed to university hospital during nighttime (20 - 08) were analyzed. Frequencies of the dispatch codes presenting complaints, medical treatments, and diagnostic tests were calculated. Age significance (under/over 70 years) was also tested. RESULTS: 73.5% of the patients received neither medical treatment nor had diagnostic tests taken before morning. Most of these were patients with mental disorder(s), hip pain/complaint, or laceration/cut. Almost half of the patients with abdominal pain or fever had laboratory tests taken. Patients over 70 years old received more medications and had more diagnostic tests taken than younger patients. CONCLUSIONS: Some of the low-acuity patients could be non-conveyed or referred to alternative pathways of care to avoid impolitic use of emergency medical service and to reduce the workload of emergency departments. Further research is needed to ensure patient safety for patients who are not conveyed at night.

The effect of time of measurement on the discriminant ability for mortality in trauma of a pre-hospital shock index multiplied by age and divided by the Glasgow Coma Score: a registry study.

BACKGROUND: The shock index (SI) and its derivatives have been shown to predict mortality in severely injured patients, both in pre-hospital and in-hospital settings. However, the impact of the time of measurement on the discriminative ability of the pre-hospital SI is unknown. The aim of this study was to evaluate whether the time of measurement influences the discriminative ability of the SI multiplied by age (SIA) and divided by the Glasgow Coma Score (SIA/G). METHODS: Registry data were obtained from the national helicopter emergency medical services (HEMS) on trauma patients aged ≥ 18 years. The SI values were calculated based on the first measured vitals of the trauma patients by the HEMS unit. The discriminative ability of the SIA/G, with 30-day mortality as the endpoint, was evaluated according to different delay times (0 - 19, 20 - 39 and ≥ 40 min) from the initial incident. Sub-group analyses were performed for trauma patients without a traumatic brain injury (TBI), patients with an isolated TBI and patients with polytrauma, including a TBI. RESULTS: In total, 3,497 patients were included in the study. The SIA/G was higher in non-survivors (median 7.8 [interquartile range 4.7-12.3] vs. 2.4 [1.7-3.6], P < 0.001). The overall area under the receiver operator characteristic curve (AUROC) for the SIA/G was 0.87 (95% CI: 0.85-0.89). The AUROC for the SIA/G was similar in the short (0.88, 95% CI: 0.85-0.91), intermediate (0.86, 95% CI: 0.84-0.89) and long (0.86, 95% CI: 0.82-0.89) measurement delay groups. The findings were similar in the three trauma sub-groups. CONCLUSIONS: The discriminative ability of the SIA/G in predicting 30-day mortality was not significantly affected by the measurement time of the index in the pre-hospital setting. The SIA/G is a simple and reliable tool for assessing the risk of mortality among severely injured patients in the pre-hospital setting.

Predictive value of shock index variants on 30-day mortality of trauma patients in helicopter emergency medical services: a nationwide observational retrospective multicenter study.

The original shock index (SI) has been further developed to increase its prognostic value. We aimed to evaluate the predictive value of different SI variants on 30-day mortality among severely injured trauma patients in pre-hospital critical care settings. Adult trauma patients in the national Helicopter Emergency Medical Services (HEMS) registry were evaluated based on the primary outcome of 30-day mortality. SI, SIA (SI multiplied by age), SI/G (SI divided by Glasgow Coma Scale (GCS)), SIA/G (SI multiplied by age and divided by GCS), and SS (SI divided by oxygen saturation) were calculated based on the first vital signs measured at the time of HEMS contact. The area under the receiver operating curve (AUROC) was calculated for each SI variant. In total 4108 patients were included in the study. The overall 30-day mortality was 13.5%. The SIA/G and SI/G had the highest predictive ability (AUROC 0.884 [95% CI 0.869-0.899] and 0.8000 [95% CI 0.7780-0.8239], respectively). The SIA/G yielded good predictive performance between 30-day survivors and non-survivors in the pre-hospital critical care setting.

Using machine learning to predict subsequent events after EMS non-conveyance decisions.

BACKGROUND: Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was to find out whether machine learning can be used in this context and to identify the predictors of subsequent events based on narrative texts of electronic patient care records (ePCR). METHODS: This was a prospective cohort study of EMS patients in Finland. The data was collected from three different regions between June 1 and November 30, 2018. Machine learning, in form of text classification, and manual evaluation were used to predict subsequent events from the clinical notes after a non-conveyance mission. RESULTS: FastText-model (AUC 0.654) performed best in prediction of subsequent events after EMS non-conveyance missions (n = 11,846). The model and manual analyses showed that many of the subsequent events were planned before, EMS guided the patients to visit primary health care facilities or ED next or following days after non-conveyance. The most frequent signs and symptoms as subsequent event predictors were musculoskeletal-, infection-related and non-specific complaints. 1 in 5 the EMS documentation was inadequate and many of these led to a subsequent event. CONCLUSION: Machine learning can be used to predict subsequent events after EMS non-conveyance missions. From the patient safety perspective, it is notable that subsequent event does not necessarily mean that patient safety is compromised. There were a number of subsequent visits to primary health care or EDs, which were planned before by EMS. This demonstrates the appropriate use of limited resources to avoid unnecessary conveyance to the ED. However, further studies are needed without planned subsequent events to find out the harmful subsequent events, where EMS non-conveyance puts patient safety at risk.

Accuracy of prehospital clinicians' perceived prognostication of long-term survival in critically ill patients: a nationwide retrospective cohort study on helicopter emergency service patients.

OBJECTIVES: Prehospital critical care physicians regularly attend to patients with poor prognosis and may limit the advanced therapies. The aim of this study was to evaluate the accuracy of poor prognosis given by prehospital critical care clinicians. DESIGN: Cohort study. SETTING: We performed a retrospective cohort study using the national helicopter emergency medical services (HEMS) quality database. PARTICIPANTS: Patients classified by the HEMS clinician to have survived until hospital admission solely because of prehospital interventions but evaluated as having no long-term survival by prehospital clinician, were included. PRIMARY AND SECONDARY OUTCOME: The survival of the study patients was examined at 30 days, 1 year and 3 years. RESULTS: Of 36 715 patients encountered by the HEMS during the study period, 2053 patients were classified as having no long-term survival and included. At 30 days, 713 (35%, 95% CI 33% to 37%) were still alive and 69 were lost to follow-up. Furthermore, at 1 year 524 (26%) and at 3 years 267 (13%) of the patients were still alive. The deceased patients received more often prehospital rapid sequence intubation and vasoactives, compared with patients alive at 30 days. Patients deceased at 30 days were older and had lower initial Glasgow Coma Scores. Otherwise, no clinically relevant difference was found in the prehospital vital parameters between the survivors and non-survivors. CONCLUSIONS: The prognostication of long-term survival for critically ill patients by a prehospital critical care clinician seems to fulfil only moderately. A prognosis based on clinical judgement must be handled with a great degree of caution and decision on limitation of advanced care should be made cautiously.

The development of emergency medical services benefit score: a European Delphi study.

BACKGROUND: The helicopter emergency services (HEMS) Benefit Score (HBS) is a nine-level scoring system developed to evaluate the benefits of HEMS missions. The HBS has been in clinical use for two decades in its original form. Advances in prehospital care, however, have produced demand for a revision of the HBS. Therefore, we developed the emergency medical services (EMS) Benefit Score (EBS) based on the former HBS. As reflected by its name, the aim of the EBS is to measure the benefits produced by the whole EMS systems to patients. METHODS: This is a four-round, web-based, international Delphi consensus study with a consensus definition made by experts from seven countries. Participants reviewed items of the revised HBS on a 5-point Likert scale. A content validity index (CVI) was calculated, and agreement was defined as a 70% CVI. Study included experts from seven European countries. Of these, 18 were prehospital expert panellists and 11 were in-hospital commentary board members. RESULTS: The first Delphi round resulted in 1248 intervention examples divided into ten diagnostic categories. After removing overlapping examples, 413 interventions were included in the second Delphi round, which resulted in 38 examples divided into HBS categories 3-8. In the third Delphi round, these resulted in 37 prehospital interventions, examples of which were given revised version of the score. In the fourth and final Delphi round, the expert panel was given an opportunity to accept or comment on the revised scoring system. CONCLUSIONS: The former HBS was revised by a Delphi methodology and EBS developed to represent its structural purpose better. The EBS includes 37 exemplar prehospital interventions to guide its clinical use. Trial registration The study permission was requested and granted by Turku University Hospital (decision number TP2/010/18).

EMS non-conveyance: A safe practice to decrease ED crowding or a threat to patient safety?

BACKGROUND: The safety of the Emergency Medical Service's (EMS's) non-conveyance decision was evaluated by EMS re-contacts, primary health care or emergency department (ED) visits, and hospitalization within 48 h. The secondary outcome was 28-day mortality. METHODS: This cohort study used prospectively collected data on non-conveyed EMS patients from three different regions in Finland between June 1 and November 30, 2018. The Adjusted International Classification of Primary Care (ICPC2) as the reason for care was compared to hospital discharge diagnoses (ICD10). Multivariable logistic regressions were used to determine factors that were independently associated with adverse outcomes. Results are presented with adjusted odds ratios (aORs) together with 95% confidence intervals (CIs). Data regarding deceased patients were reviewed by the study group. RESULTS: Of the non-conveyed EMS patients (n = 11,861), 6.3% re-contacted the EMS, 8.3% attended a primary health care facility, 4.2% went to the ED, 1.6% were hospitalized, and 0.1% died 0-24 h after the EMS mission. The 0-24 h adverse event rate was higher than 24-48 h. After non-conveyance, 32 (0.3%) patients were admitted to an intensive care unit within 24 h. Primary non-urgent EMS mission (aOR 1.49; 95% CI 1.25 to 1.77), EMS arrival at night (aOR 1.82; 95% CI 1.58 to 2.09), ALS unit type vs BLS (aOR 1.43; 95% CI 1.16 to 1.77), rural area (aOR 1.74; 95% CI 1.51 to 1.99), and older patient age (aOR 1.41; 95% CI 1.20 to 1.66) were associated with subsequent primary health care visits (0-24 h). CONCLUSIONS: Four in five non-conveyed patients did not have any re-contact in follow-up period. EMS non-conveyance seems to be a relatively safe method of focusing ED resources and avoiding ED crowding.

Changing role of EMS -analyses of non-conveyed and conveyed patients in Finland.

BACKGROUND: Emergency Medical Services (EMS) and Emergency Departments (ED) have seen increasing attendance rates in the last decades. Currently, EMS are increasingly assessing and treating patients without the need to convey patients to health care facility. The aim of this study was to describe and compare the patient case-mix between conveyed and non-conveyed patients and to analyze factors related to non-conveyance decision making. METHODS: This was a prospective study design of EMS patients in Finland, and data was collected between 1st June and 30th November 2018. Adjusted ICPC2-classification was used as the reason for care. NEWS2-points were collected and analyzed both statistically and with a semi-supervised information extraction method. EMS patients' geographic location and distance to health care facilities were analyzed by urban-rural classification. RESULTS: Of the EMS patients (40,263), 59.8% were over 65 years of age and 46.0% of the patients had zero NEWS2 points. The most common ICPC2 code was weakness/tiredness, general (A04), as seen in 13.5% of all patients. When comparing patients between the non-conveyance and conveyance group, a total of 35,454 EMS patients met the inclusion criteria and 14,874 patients (42.0%) were not conveyed to health care facilities. According the multivariable logistic regression model, the non-conveyance decision was more likely made by ALS units, when the EMS arrival time was in the evening or night and when the distance to the health care facility was 21-40 km. Furthermore, younger patients, female gender, whether the patient had used alcohol and a rural area were also related to the non-conveyance decision. If the patient's NEWS2 score increased by one or two points, the likelihood of conveyance increased. When there was less than 1 h to complete a shift, this did not associate with either non-conveyance or conveyance decisions. CONCLUSIONS: The role of EMS might be changing. This warrants to redesign the chain-of-survival in EMS to include not only high-risk patient groups but also non-critical and general acute patients with non-specific reasons for care. Assessment and on-scene treatment without conveyance can be called the "stretched arm of the emergency department", but should be planned carefully to ensure patient safety.

The first seven years of nationally organized helicopter emergency medical services in Finland - the data from quality registry.

BACKGROUND: Helicopter Emergency Medical Services (HEMS) play an important role in prehospital care of the critically ill. Differences in funding, crew composition, dispatch criteria and mission profile make comparison between systems challenging. Several systems incorporate databases for quality control, performance evaluation and scientific purposes. FinnHEMS database was incorporated for such purposes following the national organization of HEMS in Finland 2012. The aims of this study are to describe information recorded in the database, data collection, and operational characteristics of Finnish HEMS during 2012-2018. METHODS: All dispatches of the six Finnish HEMS units recorded in the national database from 2012 to 2018 were included in this observational registry study. Five of the units are physician staffed, and all are on call 24/7. The database follows a template for uniform reporting in physician staffed pre-hospital services, exceeding the recommended variables of relevant guidelines. RESULTS: The study included 100,482 dispatches, resulting in 33,844 (34%) patient contacts. Variables were recorded with little or no missing data. A total of 16,045 patients (16%) were escorted by HEMS to hospital, of which 2239 (2%) by helicopter. Of encountered patients 4195 (4%) were declared deceased on scene. The number of denied or cancelled dispatches was 66,638 (66%). The majority of patients were male (21,185, 63%), and the median age was 57.7 years. The median American Society of Anesthesiologists Physical Scale classification was 2 and Eastern Cooperative Oncology Group performance class 0. The most common reason for response was trauma representing 26% (8897) of the patients, followed by out-of-hospital cardiac arrest 20% (6900), acute neurological reason excluding stroke 13% (4366) and intoxication and related psychiatric conditions 10% (3318). Blunt trauma (86%, 7653) predominated in the trauma classification. CONCLUSIONS: Gathering detailed and comprehensive data nationally on all HEMS missions is feasible. A national database provides valuable insights into where the operation of HEMS could be improved. We observed a high number of cancelled or denied missions and a low percentage of patients transported by helicopter. The medical problem of encountered patients also differs from comparable systems.

Mechanism-based population pharmacokinetic and pharmacodynamic modeling of intravenous and intranasal dexmedetomidine in healthy subjects.

PURPOSE: Dexmedetomidine is an α2-adrenoceptor agonist used for perioperative and intensive care sedation. This study develops mechanism-based population pharmacokinetic-pharmacodynamic models for the cardiovascular and central nervous system (CNS) effects of intravenously (IV) and intranasally (IN) administered dexmedetomidine in healthy subjects. METHOD: Single doses of 84 µg of dexmedetomidine were given once IV and once IN to six healthy men. Plasma dexmedetomidine concentrations were measured for 10 h along with plasma concentrations of norepinephrine (NE) and epinephrine (E). Blood pressure, heart rate, and CNS drug effects (three visual analog scales and bispectral index) were monitored to assess the pharmacological effects of dexmedetomidine. PK-PD modeling was performed for recently published data (Eur J Clin Pharmacol 67: 825, 2011). RESULTS: Pharmacokinetic profiles for both IV and IN doses of dexmedetomidine were well fitted using a two-compartment PK model. Intranasal bioavailability was 82%. Dexmedetomidine inhibited the release of NE and E to induce their decline in blood. This decrease in NE was captured with an indirect response model. The concentrations of the mediator NE served via a biophase/transduction step and nonlinear pharmacologic functions to produce reductions in blood pressure and heart rate, while a direct effect model was used for the CNS effects. CONCLUSION: The comprehensive panel of two biomarkers and seven response measures were well captured by the population PK/PD models. The subjects were more sensitive to the CNS (lower EC 50 values) than cardiovascular effects of dexmedetomidine.

Pharmacokinetics of prolonged infusion of high-dose dexmedetomidine in critically ill patients.

INTRODUCTION: Only limited information exists on the pharmacokinetics of prolonged (> 24 hours) and high-dose dexmedetomidine infusions in critically ill patients. The aim of this study was to characterize the pharmacokinetics of long dexmedetomidine infusions and to assess the dose linearity of high doses. Additionally, we wanted to quantify for the first time in humans the concentrations of H-3, a practically inactive metabolite of dexmedetomidine. METHODS: Thirteen intensive care patients with mean age of 57 years and Simplified Acute Physiology Score (SAPS) II score of 45 were included in the study. Dexmedetomidine infusion was commenced by using a constant infusion rate for the first 12 hours. After the first 12 hours, the infusion rate of dexmedetomidine was titrated between 0.1 and 2.5 µg/kg/h by using predefined dose levels to maintain sedation in the range of 0 to -3 on the Richmond Agitation-Sedation Scale. Dexmedetomidine was continued as long as required to a maximum of 14 days. Plasma dexmedetomidine and H-3 metabolite concentrations were measured, and pharmacokinetic variables were calculated with standard noncompartmental methods. Safety and tolerability were assessed by adverse events, cardiovascular signs, and laboratory tests. RESULTS: The following geometric mean values (coefficient of variation) were calculated: length of infusion, 92 hours (117%); dexmedetomidine clearance, 39.7 L/h (41%); elimination half-life, 3.7 hours (38%); and volume of distribution during the elimination phase, 223 L (35%). Altogether, 116 steady-state concentrations were found in 12 subjects. The geometric mean value for clearance at steady state was 53.1 L/h (55%). A statistically significant linear relation (r2 = 0.95; P < 0.001) was found between the areas under the dexmedetomidine plasma concentration-time curves and cumulative doses of dexmedetomidine. The elimination half-life of H-3 was 9.1 hours (37%). The ratio of AUC0-∞ of H-3 metabolite to that of dexmedetomidine was 1.47 (105%), ranging from 0.29 to 4.4. The ratio was not statistically significantly related to the total dose of dexmedetomidine or the duration of the infusion. CONCLUSIONS: The results suggest linear pharmacokinetics of dexmedetomidine up to the dose of 2.5 µg/kg/h. Despite the high dose and prolonged infusions, safety findings were as expected for dexmedetomidine and the patient population. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00747721.

Bioavailability of dexmedetomidine after intranasal administration.

PURPOSE: The aim of this proof-of-concept study was to characterize the pharmacokinetics and pharmacodynamics of intranasal dexmedetomidine compared with its intravenous administration in a small number of healthy volunteers. METHODS: Single doses of 84 µg of dexmedetomidine were given once intravenously and once intranasally to seven healthy men. Plasma dexmedetomidine concentrations were measured for 10 h, and pharmacokinetic variables were calculated with standard noncompartmental methods. Heart rate, blood pressure, concentrations of adrenaline and noradrenaline in plasma, and central nervous system drug effects (with the Maddox wing, Bispectral Index, and three visual analog scales) were monitored to assess the pharmacological effects of dexmedetomidine. RESULTS: Six individuals were included in the analyses. Following intranasal administration, peak plasma concentrations of dexmedetomidine were reached in 38 (15-60) min and its absolute bioavailability was 65% (35-93%) (medians and ranges). Pharmacological effects were similar with both routes of administration, but their onset was more rapid after intravenous administration. CONCLUSIONS: Dexmedetomidine is rather rapidly and efficiently absorbed after intranasal administration. Compared with intravenous administration, intranasal administration may be a feasible alternative in patients requiring light sedation.

Is advanced life support better than basic life support in prehospital care? A systematic review.

BACKGROUND: Prehospital care is classified into ALS- (advanced life support) and BLS- (basic life support) levels according to the methods used. ALS-level prehospital care uses invasive methods, such as intravenous fluids, medications and intubation. However, the effectiveness of ALS care compared to BLS has been questionable. AIM: The aim of this systematic review is to compare the effectiveness of ALS- and BLS-level prehospital care. MATERIAL AND METHODS: In a systematic review, articles where ALS-level prehospital care was compared to BLS-level or any other treatment were included. The outcome variables were mortality or patient's health-related quality of life or patient's capacity to perform daily activities. RESULTS: We identified 46 articles, mostly retrospective observational studies. The results on the effectiveness of ALS in unselected patient cohorts are contradictory. In cardiac arrest, early cardiopulmonary resuscitation and defibrillation are essential for survival, but prehospital ALS interventions have not improved survival. Prehospital thrombolytic treatment reduces mortality in patients having a myocardial infarction. The majority of research into trauma favours BLS in the case of penetrating trauma and also in cases of short distance to a hospital. In patients with severe head injuries, ALS provided by paramedics and intubation without anaesthesia can even be harmful. If the prehospital care is provided by an experienced physician and by a HEMS organisation (Helicopter Emergency Medical Service), ALS interventions may be beneficial for patients with multiple injuries and severe brain injuries. However, the results are contradictory. CONCLUSIONS: ALS seems to improve survival in patients with myocardial infarction and BLS seems to be the proper level of care for patients with penetrating injuries. Some studies indicate a beneficial effect of ALS among patients with blunt head injuries or multiple injuries. There is also some evidence in favour of ALS among patients with epileptic seizures as well as those with a respiratory distress.

Highly variable pharmacokinetics of dexmedetomidine during intensive care: a case report.

INTRODUCTION: Dexmedetomidine is a selective and potent alpha2-adrenoceptor agonist licensed for use in the sedation of patients initially ventilated in intensive care units at a maximum dose rate of 0.7 mug/kg/h administered for up to 24 hours. Higher dose rates and longer infusion periods are sometimes required to achieve sufficient sedation. There are some previous reports on the use of long-term moderate to high-dose infusions of dexmedetomidine in patients in intensive care units, but none of these accounts have cited dexmedetomidine plasma concentrations. CASE PRESENTATION: We describe the case of a 42-year-old Caucasian woman with severe hemorrhagic pancreatitis following laparoscopic cholecystectomy who received dexmedetomidine for 24 consecutive days at a maximum dose rate of 1.9 mug/kg/h. Samples for the measurement of dexmedetomidine concentrations in her plasma were drawn at intervals of eight hours. On average, the observed plasma concentrations were well in accordance with previous knowledge on the pharmacokinetics of dexmedetomidine. There was, however, marked variability in the concentration of dexmedetomidine in her plasma despite a stable infusion rate. CONCLUSION: The pharmacokinetics of dexmedetomidine appears to be highly variable during intensive care.

Effect of physician-staffed helicopter emergency medical service on blunt trauma patient survival and prehospital care.

OBJECTIVE: The aim of the study was to assess the immediate and long-term effect of a helicopter emergency physician giving advanced life support on-scene compared with conventional load and go principle in urban and rural settings in treating blunt trauma patients. METHODS: In a retrospective study, 81 blunt trauma patients treated prehospitally by a physician-staffed helicopter emergency medical service were compared with 77 patients treated before the era of the helicopter emergency medical service. The data were collected in the prehospital and hospital files and a questionnaire was sent to the survivors 3 years after the trauma. RESULTS: The physicians treated the patients more aggressively (gave drugs, intubated and cannulated) and had the patients transported directly to a university hospital. The given treatment did not delay arrival at the hospital. No statistically significant difference was found, but a trend (P = 0.065) to lower survival in the helicopter emergency medical service group. Almost half of the deaths in the helicopter emergency medical service group and none in the control group, however, occurred in the emergency department. No difference was found 3 years later between the groups in the health-related quality of life or decrease in the income owing to the accident. CONCLUSION: The physicians treated the patients more aggressively, but it did not delay the arrival at the hospital. A beneficial effect of this aggressive treatment or direct transport to a university hospital could not be seen in the immediate physiological parameters or later health-related quality of life. The physician-staffed helicopter emergency medical service was not beneficial to blunt trauma patients in this setting.