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.

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.

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.

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.

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.

Cold Weather and Cardiac Arrest in 4 Seasons: Helsinki, Finland, 1997‒2018.

Objectives. To test the a priori hypothesis that out-of-hospital cardiac arrest (OHCA) is associated with cold weather during all seasons, not only during the winter. Methods. We applied a case‒crossover design to all cases of nontraumatic OHCA in Helsinki, Finland, over 22 years: 1997 to 2018. We statistically defined cold weather for each case and season, and applied conditional logistic regression with 2 complementary models a priori according to the season of death. Results. There was an association between cold weather and OHCA during all seasons, not only during the winter. Each additional cold day increased the odds of OHCA by 7% (95% confidence interval [CI] = 4%, 10%), with similar strength of association during the autumn (6%; 95% CI = 0%, 12%), winter (6%; 95% CI = 1%, 12%), spring (8%; 95% CI = 2%, 14%), and summer (7%; 95% CI = 0%, 15%). Conclusions. Cold weather, defined according to season, increased the odds of OHCA during all seasons in similar quantity. Public Health Implications. Early warning systems and cold weather plans focus implicitly on the winter season. This may lead to incomplete measures in reducing excess mortality related to cold weather. (Am J Public Health. 2022;112(1):107-115. https://doi.org/10.2105/AJPH.2021.306549).

Effects of the COVID-19 pandemic on trauma-related emergency medical service calls: a retrospective cohort study.

BACKGROUND: The COVID-19 pandemic has had profound effects on the utilization of health care services, including Emergency Medical Services (EMS). Social distancing measures taken to prevent the spread of the disease have greatly affected the functioning of societies and reduced or halted many activities with a risk of injury. The aim of this study was to report the effects of lockdown measures on trauma-related EMS calls in the Finnish capital area. METHODS: We conducted a retrospective cohort study of all EMS calls in the Helsinki University Hospital (HUH) catchment area between 1 January and 31 July 2020. Calls were identified from the HUH EMS database. Calls were grouped into pre-lockdown, lockdown, and post-lockdown periods according to the restrictions set by the Finnish government and compared to the mean number of calls for the corresponding periods in 2018 and 2019. Statistical comparisons were performed using Mann-Whitney U-test for weekly numbers and percentages. RESULTS: During the study period there was a total of 70,705 EMS calls, of which 14,998 (21.2%) were related to trauma; 67,973 patients (median age 61.6 years; IQR 35.3-78.6) were met by EMS. There was no significant change in the weekly number of total or trauma-related EMS calls during the pre-lockdown period. During the lockdown period, the number of weekly total EMS calls was reduced by 12.2% (p = 0.001) and the number of trauma-related calls was reduced by 23.3% (p = 0.004). The weekly number of injured patients met by EMS while intoxicated with alcohol was reduced by 41.8% (p = 0.002). During the post-lockdown period, the number of total and trauma-related calls and the number of injured patients intoxicated by alcohol returned to previous years' levels. CONCLUSIONS: The COVID-19 pandemic and social distancing measures reduced the number of trauma-related EMS calls. Lockdown measures had an especially significant effect on the number of injured patients intoxicated by alcohol met by the EMS. TRIAL REGISTRATION: Not applicable.

Ultra-Early Differential Diagnosis of Acute Cerebral Ischemia and Hemorrhagic Stroke by Measuring the Prehospital Release Rate of GFAP.

BACKGROUND: Plasma glial fibrillary acidic protein (GFAP) and tau are promising markers for differentiating acute cerebral ischemia (ACI) and hemorrhagic stroke (HS), but their prehospital dynamics and usefulness are unknown. METHODS: We performed ultra-sensitivite single-molecule array (Simoa®) measurements of plasma GFAP and total tau in a stroke code patient cohort with cardinal stroke symptoms [National Institutes of Health Stroke Scale (NIHSS) ≥3]. Sequential sampling included 2 ultra-early samples, and a follow-up sample on the next morning. RESULTS: We included 272 cases (203 ACI, 60 HS, and 9 stroke mimics). Median (IQR) last-known-well to sampling time was 53 (35-90) minutes for initial prehospital samples, 90 (67-130) minutes for secondary acute samples, and 21 (16-24) hours for next morning samples. Plasma GFAP was significantly higher in patients with HS than ACI (P < 0.001 for <1 hour and <3 hour prehospital samples, and <3 hour secondary samples), while total tau showed no intergroup difference. The prehospital GFAP release rate (pg/mL/minute) occurring between the 2 very early samples was significantly higher in patients with HS than ACI [2.4 (0.6-14.1)] versus 0.3 (-0.3-0.9) pg/mL/minute, P < 0.001. For cases with <3 hour prehospital sampling (ACI n = 178, HS n = 59), a combined rule (prehospital GFAP >410 pg/mL, or prehospital GFAP 90-410 pg/mL together with GFAP release >0.6 pg/mL/minute) enabled ruling out HS with high certainty (NPV 98.4%) in 68% of patients with ACI (sensitivity for HS 96.6%, specificity 68%, PPV 50%). CONCLUSIONS: In comparison to single-point measurement, monitoring the prehospital GFAP release rate improves ultra-early differentiation of stroke subtypes. With serial measurement GFAP has potential to improve future prehospital stroke diagnostics.

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.

Ability of prehospital NEWS to predict 1-day and 7-day mortality is reduced in older adult patients.

BACKGROUND: National Early Warning Score (NEWS) does not include age as a parameter despite age is a significant independent risk factor of death. The aim of this study was to examine whether age has an effect on predictive performance of short-term mortality of NEWS in a prehospital setting. We also evaluated whether adding age as an additional parameter to NEWS improved its short-term mortality prediction. METHODS: We calculated NEWS scores from retrospective prehospital electronic patient record data for patients 18 years or older with sufficient prehospital data to calculate NEWS. We used area under receiver operating characteristic (AUROC) to analyse the predictive performance of NEWS for 1 and 7 day mortalities with increasing age in three different age groups: <65 years, 65-79 years and ≥80 years. We also explored the ORs for mortality of different NEWS parameters in these age groups. We added age to NEWS as an additional parameter and evaluated its effect on predictive performance. RESULTS: We analysed data from 35 800 ambulance calls. Predictive performance for 7-day mortality of NEWS decreased with increasing age: AUROC (95% CI) for 1-day mortality was 0.876 (0.848 to 0.904), 0.824 (0.794 to 0.854) and 0.820 (0.788 to 0.852) for first, second and third age groups, respectively. AUROC for 7-day mortality had a similar trend. Addition of age as an additional parameter to NEWS improved its ability to predict short-term mortality when assessed with continuous Net Reclassification Improvement. CONCLUSIONS: Age should be considered as an additional parameter to NEWS, as it improved its performance in predicting short-term mortality in this prehospital cohort.

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.

Why do infants need out-of-hospital emergency medical services? A retrospective, population-based study.

BACKGROUND: The challenges encountered in emergency medical services (EMS) contacts with children are likely most pronounced in infants, but little is known about their out-of-hospital care. Our primary aim was to describe the characteristics of EMS contacts with infants. The secondary aims were to examine the symptom-based dispatch system for nonverbal infants, and to observe the association of unfavorable patient outcomes with patient and EMS mission characteristics. METHODS: In a population-based 5-year retrospective cohort of all 1712 EMS responses for infants (age < 1 year) in Helsinki, Finland (population 643,000, < 1-year old population 6548), we studied 1) the characteristics of EMS missions with infants; 2) mortality within 12 months; 3) pediatric intensive care unit (PICU) admissions; 4) medical state of the infant upon presentation to the emergency department (ED); 5) any medication or respiratory support given at the ED; 6) hospitalization; and 7) surgical procedures during the same hospital visit. RESULTS: 1712 infants with a median age of 6.7 months were encountered, comprising 0.4% of all EMS missions. The most common complaints were dyspnea, low-energy falls, and choking. Two infants died on-scene. The EMS transported 683 (39.9%) infants. One (0.1%) infant died during the 12-month follow-up period. Ninety-one infants had abnormal clinical examination upon arrival at the ED. PICU admissions (n = 28) were associated with young age (P < 0.01), a history of prematurity or problems in the neonatal period (P = 0.01), and previous EMS contacts within 72 h (P = 0.04). The adult-derived dispatch codes did not associate with the final diagnoses of the infants. CONCLUSIONS: Infants form a small but distinct group in pediatric EMS care, with specific characteristics differing from the overall pediatric population. Many EMS contacts with infants were nonurgent or medically unjustified, possibly reflecting an unmet need for other family services. The use of adult-derived symptom codes for dispatching is not optimal for infants. Unfavorable patient outcomes were rare. Risk factors for such outcomes include quickly renewed contacts, young age and health problems in the neonatal period.

Out-of-Hospital Seizures in Children: A Population-Based Study.

OBJECTIVES: Seizures seem to represent a frequent cause for pediatric emergency medical (EM) and emergency room (ER) contacts, but few population-based data are available. Our aim was to study the incidence, prehospital and ER treatment, and outcomes of pediatric seizures necessitating out-of-hospital care. METHODS: We studied the out-of-hospital evaluation procedures, ER treatment, diagnostics and 2-year prognosis of all cases of pediatric (0-16 years) seizures encountered by the emergency medical services (EMS) in Helsinki, Finland, in 2012 (population 603,968, pediatric population 92,742); 251 patients were encountered by the EMS, of which 220 seen at the ER. RESULTS: The yearly incidence of pediatric seizures necessitating EMS activation was 2.8/1000 in the pediatric population. Febrile seizures were responsible for 97 (44.1%) of the cases transported to the ER. Only a minority of patients required advanced life support measures out-of-hospital or complex diagnostics in the ER. Still, of the 220 patients seen at ER, 68 (30.9%) were hospitalized, and 106 (48.2%) had follow-up contacts scheduled. CONCLUSIONS: Pediatric seizures were a common cause for EM and ER contacts. Advanced life support measures were seldom needed, and the prognosis was good, but seizures still required considerable resources. They often resulted in urgent EM dispatch and transport, hospitalization, follow-up visits, new medication, and complementary studies. This emphasizes the role the EMS plays in recognizing and terminating pediatric seizures and in referring these children to appropriate care.

Pediatric traumas and neighborhood socioeconomic characteristics: A population based study.

BACKGROUND: Identifying pediatric populations at risk for traumas would enable development of emergency medical services and emergency departments for children. Elucidation of the nature of socioeconomic differences in the incidence of pediatric out-of-hospital emergencies is needed to overcome inequities in child health. METHODS: We retrieved all ambulance contacts during 17.12.2014-16.12.2018 involving children (0-15 years) in Helsinki, Finland and separated traumatic and nontraumatic emergencies. We compared the incidences of these emergencies in the pediatric population with socioeconomic markers of the scene of the emergency and of the residential area of the child. RESULTS: Of 11,742 ambulance contacts involving children 4113 (35.0%) were traumatic. Traumatic emergencies occurred more often in neighborhoods with lower median income/household (P=0.043) and were more common in children living in areas with lower median income/inhabitant (P=0.001), higher unemployment (P<0.001), and lower education (P<0.001). The associations were weaker for traumatic than nontraumatic emergencies. Higher proportion of a pediatric population in a residential area (P=0.005) had a protective effect. Exclusion of clinically unnecessary ambulance responses did not change the results. CONCLUSION: Traumatic emergencies in children are more common in areas with lower socioeconomic status. The possible protective effect of urban planning merits further studies. TYPE OF STUDY: Prognostic. LEVEL OF EVIDENCE: II.

Conservative or liberal oxygen therapy in adults after cardiac arrest: An individual-level patient data meta-analysis of randomised controlled trials.

AIM: The effect of conservative versus liberal oxygen therapy on mortality rates in post cardiac arrest patients is uncertain. METHODS: We undertook an individual patient data meta-analysis of patients randomised in clinical trials to conservative or liberal oxygen therapy after a cardiac arrest. The primary end point was mortality at last follow-up. RESULTS: Individual level patient data were obtained from seven randomised clinical trials with a total of 429 trial participants included. Four trials enrolled patients in the pre-hospital period. Of these, two provided protocol-directed oxygen therapy for 60 min, one provided it until the patient was handed over to the emergency department staff, and one provided it for a total of 72 h or until the patient was extubated. Three trials enrolled patients after intensive care unit (ICU) admission and generally continued protocolised oxygen therapy for a longer period, often until ICU discharge. A total of 90 of 221 patients (40.7%) assigned to conservative oxygen therapy and 103 of 206 patients (50%) assigned to liberal oxygen therapy had died by this last point of follow-up; absolute difference; odds ratio (OR) adjusted for study only; 0.67; 95% CI 0.45 to 0.99; P = 0.045; adjusted OR, 0.58; 95% CI 0.35 to 0.96; P = 0.04. CONCLUSION: Conservative oxygen therapy was associated with a statistically significant reduction in mortality at last follow-up compared to liberal oxygen therapy but the certainty of available evidence was low or very low due to bias, imprecision, and indirectness. PROSPERO REGISTRATION NUMBER: CRD42019138931.

Glucose as an additional parameter to National Early Warning Score (NEWS) in prehospital setting enhances identification of patients at risk of death: an observational cohort study.

BACKGROUND: To determine if prehospital blood glucose could be added to National Early Warning Score (NEWS) for improved identification of risk of short-term mortality. METHODS: Retrospective observational study (2008-2015) of adult patients seen by emergency medical services in Helsinki metropolitan area for whom all variables for calculation of NEWS and a blood glucose value were available. Survival of 24 hours and 30 days were determined. The NEWS parameters and glucose were tested by multivariate logistic regression model. Based on ORs we formed NEWSgluc model with hypoglycaemia (≤3.0 mmol/L) 3, normoglycaemia 0 and hyperglycaemia (≥11.1 mmol/L) 1 points. The scores from NEWS and NEWSgluc were compared using discrimination (area under the curve), calibration (Hosmer-Lemeshow test), likelihood ratio tests and reclassification (continuous net reclassification index (cNRI)). RESULTS: Data of 27 141 patients were included in the study. Multivariable regression model for NEWSgluc parameters revealed a strong association with glucose disturbances and 24-hour and 30-day mortality. Likelihood ratios (LRs) for mortality at 24 hours using a cut-off point of 15 were for NEWSgluc: LR+ 17.78 and LR- 0.96 and for NEWS: LR+ 13.50 and LR- 0.92. Results were similar at 30 days. Risks per score point estimation and calibration model showed glucose added benefit to NEWS at 24 hours and at 30 days. Although areas under the curve were similar, reclassification test (cNRI) showed overall improvement of classification of survivors and non-survivors at 24 days and 30 days with NEWSgluc. CONCLUSIONS: Including glucose in NEWS in the prehospital setting seems to improve identification of patients at risk of death.

Out-of-hospital deaths among children during COVID-19 pandemic: indicator of collateral damage?

We aimed to investigate the out-of-hospital mortality, and the actual prevalence of COVID-19 in children requiring paediatric emergency department (ED) care for infectious symptoms. There were four emergency medical services (EMS) responses concerning children (age 0-15 years) leading to death on-scene in 2 months during the pandemic, and eight during the previous 12 months in the Helsinki University Hospital area, although the number of EMS missions decreased by 18%. The prevalence of COVID-19 in children contacting a paediatric ED for any infectious symptoms during the epidemic peak was only 2.7%.

Paediatric prehospital emergencies and restrictions during the COVID-19 pandemic: a population-based study.

BACKGROUND: Children are less vulnerable to serious forms of the COVID-19 disease. However, concerns have been raised about children being the second victims of the pandemic and its control measures. Therefore, we wanted to study if the pandemic, the infection control measures and their consequences to the society projected to paediatric prehospital emergency medical services (EMS) contacts. METHODS: We conducted a population-based cohort study concerning all children aged 0-15 years with EMS contacts in the Helsinki University Hospital area during 1 March 2020-31 May 2020 (study period) and equivalent periods in 2017-2019 (control periods). We analysed the demographic characteristics, time of EMS contact, reason for EMS contact, priority of the dispatch, reason for transportation, priority of transportation, if any consultations were made or additional units required, any medication or oxygen or fluids given, if intubation was performed, and whether paramedics took precautions when COVID-19 infection was suspected. RESULTS: The number of paediatric EMS contacts decreased by 30.4% from mean of 1794 contacts to 1369 (p=0.003). The EMS contacts were more often due to trauma (+23.7%, p<0.05), dispatched in the most urgent category (+139.9%, p=0.001), additional help and the mobile intensive care unit were more frequently requested (+43.3%, p=0.040 and+46.3%, p=0.049, respectively). However, EMS contacts resulted less often in ambulance transport (-21.1%, p<0.001). Alarmingly, there were four deaths during the study period compared with 0-2 during the control periods. CONCLUSIONS: The number of EMS contacts decreased during the pandemic. Nevertheless, the children encountered by the EMS were more seriously ill than during the control periods.

Random forest machine learning method outperforms prehospital National Early Warning Score for predicting one-day mortality: A retrospective study.

AIM OF THE STUDY: The National Early Warning Score (NEWS) is a validated method for predicting clinical deterioration in hospital wards, but its performance in prehospital settings remains controversial. Modern machine learning models may outperform traditional statistical analyses for predicting short-term mortality. Thus, we aimed to compare the mortality prediction accuracy of NEWS and random forest machine learning using prehospital vital signs. METHODS: In this retrospective study, all electronic ambulance mission reports between 2008 and 2015 in a single EMS system were collected. Adult patients (≥ 18 years) were included in the analysis. Random forest models with and without blood glucose were compared to the traditional NEWS for predicting one-day mortality. A ten-fold cross-validation method was applied to train and validate the random forest models. RESULTS: A total of 26,458 patients were included in the study of whom 278 (1.0%) died within one day of ambulance mission. The area under the receiver operating characteristic curve for one-day mortality was 0.836 (95% CI, 0.810-0.860) for NEWS, 0.858 (95% CI, 0.832-0.883) for a random forest trained with NEWS variables only and 0.868 (0.843-0.892) for a random forest trained with NEWS variables and blood glucose. CONCLUSION: A random forest algorithm trained with NEWS variables was superior to traditional NEWS for predicting one-day mortality in adult prehospital patients, although the risk of selection bias must be acknowledged. The inclusion of blood glucose in the model further improved its predictive performance.