OBJECTIVES: To study the diagnostic performance of an ultrasound-based algorithm that includes the deceleration time (DT) of early mitral filling to establish a diagnosis of acute heart failure (AHF) in patients who come to an emergency department because of dyspnea. MATERIAL AND METHODS: Prospective analysis in a convenience sample of patients who came to a hospital emergency department with acute dyspnea. The algorithm included ultrasound findings and 4 echocardiographic findings as follows: mitral annular plane systolic excursion, Doppler mitral flow velocity, tissue Doppler imaging measure of the lateral annulus, and the DT of early mitral filling. The definitive diagnosis was made by 2 physicians blinded to each other's diagnosis and the ultrasound findings. RESULTS: A total of 166 adult patients with a mean (SD) age of 76 (13) years were included; 79 (48%) were women. AHF was the definitive diagnosis in 62 patients (37%). Diagnostic agreement was good between the 2 physicians (κ = 0.71). The algorithm classified all the patients, and there were no undetermined diagnoses. Diagnostic performance indicators for the ultrasound-based algorithm integrating early DT findings were as follows: area under the receiver operating characteristic curve, 0.91 (95% CI, 0.86-0.96); sensitivity, 87% (95% CI, 76%-94%); specificity, 95% (95% CI, 89%-98%); positive likelihood ratio, 18.1 (95% CI, 7.7-42.8); and negative likelihood ratio, 0.14 (95% CI, 0.07-0.26). CONCLUSION: The ultrasound-based algorithm integrating the DT of early mitral filling performs well for diagnosing AHF in emergency patients with dyspnea. The inclusion of early DT allows all patients to be diagnosed.
OBJETIVO: Analizar el rendimiento diagnóstico de un algoritmo ecográfico que incluye el tiempo de desaceleración precoz del flujo mitral (TD) para establecer el diagnóstico de insuficiencia cardiaca aguda (ICA) en pacientes que consultan en un servicio de urgencias hospitalario (SUH) por disnea. METODO: Análisis prospectivo de una muestra de conveniencia de pacientes que consultan por disnea aguda en un SUH. El algoritmo ecográfico incluyó la ecografía pulmonar y cuatro parámetros ecocardiográficos, se midió MAPSE (desplazamiento sistólico del plano del anillo mitral), medidas doppler de flujo mitral, medidas doppler tisular en el anillo mitral lateral y TD. El diagnóstico final fue asignado por 2 médicos ciegos entre sí y a los hallazgos ecográficos. RESULTADOS: Se incluyeron 166 pacientes adultos, la edad media fue de 76 años (DE 13) y 79 eran mujeres (48%). Hubo 62 pacientes (37%) con un diagnóstico final de ICA. La concordancia entre asignadores fue buena para el diagnóstico de ICA (κ = 0,71). El algoritmo clasificó a todos los pacientes, no hubo ningún diagnóstico indeterminado. El rendimiento diagnóstico del algoritmo mostró un área bajo la curva de 0,91 (IC 95%: 0,86-0,96), sensibilidad del 87% (IC 95%: 76%-94%), especificidad del 95% (IC 95%: 89%-98%), razón de verosimilitud positiva del 18,1 (IC 95%: 7,7-42,8), razón de verosimilitud negativa del 0,14 (IC 95%: 0,07-0,26). CONCLUSIONES: Un algoritmo ecográfico que incluye el TD tiene un buen rendimiento para el diagnóstico de ICA en pacientes que acuden a SUH por disnea. Además, el uso de TD permite clasificar a todos los pacientes.
Emergency Service, Hospital , Heart Failure , Adult , Humans , Female , Aged , Male , Ultrasonography , Algorithms , Dyspnea/diagnostic imaging , Dyspnea/etiology , Heart Failure/diagnostic imaging
Objetivos. Analizar el rendimiento diagnóstico de un algoritmo ecográfico que incluye el tiempo de desaceleración precoz del flujo mitral (TD) para establecer el diagnóstico de insuficiencia cardiaca aguda (ICA) en pacientes que consultan en un servicio de urgencias hospitalario (SUH) por disnea. Métodos. Análisis prospectivo de una muestra de conveniencia de pacientes que consultan por disnea aguda en un SUH. El algoritmo ecográfico incluyó la ecografía pulmonar y cuatro parámetros ecocardiográficos, se midió MAPSE (desplazamiento sistólico del plano del anillo mitral), medidas doppler de flujo mitral, medidas doppler tisular en el anillo mitral lateral y TD. El diagnóstico final fue asignado por 2 médicos ciegos entre sí y a los hallazgos ecográficos. Resultados. Se incluyeron 166 pacientes adultos, la edad media fue de 76 años (DE 13) y 79 eran mujeres (48%). Hubo 62 pacientes (37%) con un diagnóstico final de ICA. La concordancia entre asignadores fue buena para el diagnóstico de ICA (κ = 0,71). El algoritmo clasificó a todos los pacientes, no hubo ningún diagnóstico indeterminado. El rendimiento diagnóstico del algoritmo mostró un área bajo la curva de 0,91 (IC 95%: 0,86-0,96), sensibilidad del 87% (IC 95%: 76%-94%), especificidad del 95% (IC 95%: 89%-98%), razón de verosimilitud positiva del 18,1 (IC 95%: 7,7-42,8), razón de verosimilitud negativa del 0,14 (IC 95%: 0,07-0,26). Conclusiones. Un algoritmo ecográfico que incluye el TD tiene un buen rendimiento para el diagnóstico de ICA en pacientes que acuden a SUH por disnea. Además, el uso de TD permite clasificar a todos los pacientes. (AU)
Objective. To study the diagnostic performance of an ultrasound-based algorithm that includes the deceleration time (DT) of early mitral filling to establish a diagnosis of acute heart failure (AHF) in patients who come to an emergency department because of dyspnea. Methods. Prospective analysis in a convenience sample of patients who came to a hospital emergency department with acute dyspnea. The algorithm included ultrasound findings and 4 echocardiographic findings as follows: mitral annular plane systolic excursion, Doppler mitral flow velocity, tissue Doppler imaging measure of the lateral annulus, and the DT of early mitral filling. The definitive diagnosis was made by 2 physicians blinded to each others diagnosis and the ultrasound findings. Results. A total of 166 adult patients with a mean (SD) age of 76 (13) years were included; 79 (48%) were women. AHF was the definitive diagnosis in 62 patients (37%). Diagnostic agreement was good between the 2 physicians (κ = 0.71). The algorithm classified all the patients, and there were no undetermined diagnoses. Diagnostic performance indicators for the ultrasound-based algorithm integrating early DT findings were as follows: area under the receiver operating characteristic curve, 0.91 (95% CI, 0.86-0.96); sensitivity, 87% (95% CI, 76%-94%); specificity, 95% (95% CI, 89%-98%); positive likelihood ratio, 18.1 (95% CI, 7.7-42.8); and negative likelihood ratio, 0.14 (95% CI, 0.07-0.26). Conclusions. The ultrasound-based algorithm integrating the DT of early mitral filling performs well for diagnosing AHF in emergency patients with dyspnea. The inclusion of early DT allows all patients to be diagnosed. (AU)
Humans , Male , Female , Aged , Heart Failure , Ultrasonography , Lung , Emergency Service, Hospital , Diagnosis , Dyspnea
BACKGROUND AND IMPORTANCE: There seems to be evidence of gender and ethnic bias in the early management of acute coronary syndrome. However, whether these differences are related to less severe severity assessment or to less intensive management despite the same severity assessment has not yet been established. OBJECTIVE: To show whether viewing an image with characters of different gender appearance or ethnic background changes the prioritization decision in the emergency triage area. METHODS: The responders were offered a standardized clinical case in an emergency triage area. The associated image was randomized among eight standardized images of people presenting with chest pain and differing in gender and ethnic appearance (White, Black, North African and southeast Asian appearance). OUTCOME MEASURES AND ANALYSIS: Each person was asked to respond to a single clinical case, in which the priority level [from 1 (requiring immediate treatment) to 5 (able to wait up to 2â h)] was assessed visually. Priority classes 1 and 2 for vital emergencies and classes 3-5 for nonvital emergencies were grouped together for analysis. RESULTS: Among the 1563 respondents [mean age, 36â ±â 10 years; 867 (55%) women], 777 (50%) were emergency physicians, 180 (11%) emergency medicine residents and 606 (39%) nurses. The priority levels for all responses were 1-5â :â 180 (11%), 686 (44%), 539 (34%), 131 (9%) and 27 (2%). There was a higher reported priority in male compared to female [62% vs. 49%, difference 13% (95% confidence interval; CI 8-18%)]. Compared to White people, there was a lower reported priority for Black simulated patients [47% vs. 58%, difference -11% (95% CI -18% to -4%)] but not people of southeast Asian [55% vs. 58%, difference -3% (95% CI -10-5%)] and North African [61% vs. 58%, difference 3% (95% CI -4-10%)] appearance. CONCLUSION: In this study, the visualization of simulated patients with different characteristics modified the prioritization decision. Compared to White patients, Black patients were less likely to receive emergency treatment. The same was true for women compared with men.
Chest Pain , Triage , Humans , Male , Female , Adult , Chest Pain/diagnosis , Patient Simulation , Emergency Medicine , Middle Aged , Emergency Service, Hospital/statistics & numerical data , Sex Factors
INTRODUCTION: The quantification of blood loss in a severe trauma patient allows prognostic quantification and the engagement of adapted therapeutic means. The Advanced Trauma Life Support classification of hemorrhagic shock, based in part on hemodynamic parameters, could be improved. The search for reproducible and non-invasive parameters closely correlated with blood depletion is a necessity. An experimental model of controlled hemorrhagic shock allowed us to obtain hemodynamic and echocardiographic measurements during controlled blood spoliation. The primary aim was to demonstrate the correlation between the Shock Index (SI) and blood depletion volume (BDV) during the hemorrhagic phase of an experimental model of controlled hemorrhagic shock in piglets. The secondary aim was to study the correlations between blood pressure (BP) values and BDV, SI and cardiac output (CO), and pulse pressure (PP) and stroke volume during the same phase. METHODS: We analyzed data from 66 anesthetized and ventilated piglets that underwent blood spoliation at 2 mL.kg-1.min-1 until a mean arterial pressure (MAP) of 40 mmHg was achieved. During this bleeding phase, hemodynamic and echocardiographic measurements were performed regularly. RESULTS: The correlation coefficient between the SI and BDV was 0.70 (CI 95%, [0.64; 0.75]; p < 0.01), whereas between MAP and BDV, the correlation coefficient was -0.47 (CI 95%, [-0.55; -0.38]; p < 0.01). Correlation coefficient between SI and CO and between PP and stroke volume were - 0.45 (CI 95%, [-0.53; -0.37], p < 0.01) and 0.62 (CI 95%, [0.56; 0.67]; p < 0.01), respectively. CONCLUSIONS: In a controlled hemorrhagic shock model in piglets, the correlation between SI and BDV seemed strong.
Shock, Hemorrhagic , Animals , Humans , Swine , Shock, Hemorrhagic/therapy , Hemorrhage , Cardiac Output , Hemodynamics , Blood Pressure/physiology , Resuscitation , Disease Models, Animal
Point-of-care ultrasound (PoCUS) is commonly used at the bedside in the emergency department (ED) as part of clinical examinations. Studies frequently investigate PoCUS diagnostic accuracy, although its contribution to the overall diagnostic approach is less often evaluated. The primary objective of this prospective, multicenter, cohort study was to assess the contribution of PoCUS to the overall diagnostic approach of patients with right upper quadrant abdominal pain. Two independent members of an adjudication committee, who were blind to the intervention, independently evaluated the diagnostic approaches before and after PoCUS for the same patient. The study included 62 patients admitted to the ED with non-traumatic right upper quadrant abdominal pain from September 1, 2022, to March 6, 2023. The contribution of PoCUS to the diagnostic approach was evaluated using a proportion test assuming that 75% of diagnostic approaches would be better or comparable with PoCUS. Wilcoxon signed-rank tests evaluated the impact of PoCUS on the mean number of differential diagnoses, planned treatments, and complementary diagnostic tests. Overall, 60 (97%) diagnostic approaches were comparable or better with PoCUS (χ2 = 15.9, p < 0.01). With PoCUS, the mean number of differential diagnoses significantly decreased by 2.3 (95% CI - 2.7 to - 1.5) (p < 0.01), proposed treatments by 1.3 (95% CI - 1.8 to - 0.9) (p < 0.01), and complementary diagnostic tests by 1.3 (95% CI - 1.7 to - 1.0) (p < 0.01). These findings show that PoCUS positively impacts the diagnostic approach and significantly decreases the mean number of differential diagnoses, treatments, and complementary tests.
INTRODUCTION: Severe hemorrhage is the leading cause of early preventable death in severe trauma patients. Delayed diagnosis is a poor prognostic factor, and severe hemorrhage prediction is essential. The aim of our study was to investigate if there was an association between the detection of peritoneal or pleural fluid on prehospital sonography for trauma and posttraumatic severe hemorrhage. METHODS: We retrospectively studied data from records of thoracic or abdominal trauma patients managed in mobile intensive care units from January 2017 to December 2021 in four centers in France. Severe hemorrhage was defined as a condition necessitating transfusion of at least four packed red blood cells or surgical intervention/radioembolization for hemostasis within the first 24 h. Using a multivariate analysis, we investigated the predictive performance of focused assessment with sonography for trauma (FAST) alone or in combination with the five Red Flags criteria validated by Hamada et al. RESULTS: Among the 527 patients analyzed, 371 (71%) were men, the mean age was 41 ± 19 years, and the Injury Severity Score was 11 (Interquartile range = [5; 22]). Seventy-three (14%) patients had severe hemorrhage - of whom 28 (38%) had a positive FAST, compared to 61 (13%) without severe hemorrhage (p < 0.01). For severe hemorrhage prediction, FAST had a sensitivity of 38% (95%CI = [27%; 50%]) and a specificity of 87% (95%CI = [83%; 90%]) (AUC = 0.62, 95%CI = [0.57; 0.68]). The comparison of the other outcomes between positive and negative FAST was: hemostatic procedure, 22 (25%) vs 28 (6%), p < 0.01; intensive care unit admission 71 (80%) vs 190 (43%), p < 0.01; mean length of hospital stay 11 [4; 27] vs 4 [0; 14] days, p = 0.02; 30-day mortality 13 (15%) vs 22 (5%), p < 0.01. CONCLUSION: A positive FAST performed in the prehospital setting is associated with severe hemorrhage and all prognostic criteria we studied.
OBJECTIVE: To develop a multidisciplinary French reference that addresses initial pre- and in-hospital management of a mild traumatic brain injury patient. DESIGN: A panel of 22 experts was formed on request from the French Society of Emergency Medicine (SFMU) and the French Society of Anaesthesiology and Critical Care Medicine (SFAR). A policy of declaration and monitoring of links of interest was applied and respected throughout the process of producing the guidelines. Similarly, no funding was received from any company marketing a health product (drug or medical device). The expert panel had to respect and follow the Grade® (Grading of Recommendations Assessment, Development and Evaluation) methodology to evaluate the quality of the evidence on which the recommendations were based. Given the impossibility of obtaining a high level of evidence for most of the recommendations, it was decided to adopt a "Recommendations for Professional Practice" (RPP) format, rather than a Formalized Expert Recommendation (FER) format, and to formulate the recommendations using the terminology of the SFMU and SFAR Guidelines. METHODS: Three fields were defined: 1) pre-hospital assessment, 2) emergency room management, and 3) emergency room discharge modalities. The group assessed 11 questions related to mild traumatic brain injury. Each question was formulated using a PICO (Patients Intervention Comparison Outcome) format. RESULTS: The experts' synthesis work and the application of the GRADE® method resulted in the formulation of 14 recommendations. After two rounds of rating, strong agreement was obtained for all recommendations. For one question, no recommendation could be made. CONCLUSION: There was strong agreement among the experts on important, transdisciplinary recommendations, the purpose of which is to improve management practices for patients with mild head injury.
Anesthesiology , Brain Concussion , Humans , Critical Care , Emergency Service, Hospital , Hospitals
BACKGROUND: Point-of-care ultrasound (PoCUS) is increasingly used in clinical practice and is now included in many undergraduate curricula. Here, we aimed to determine whether medical students who participated in a PoCUS teaching program with several practical training sessions involving healthy volunteers could achieve a good level of diagnostic accuracy in identifying gallbladder pathologies. The intervention group (IG) was trained exclusively on volunteers with a healthy gallbladder, whereas the control group (CG) had access to volunteers with a pathological gallbladder as recommended in most PoCUS curricula. MATERIALS AND METHODS: Twenty medical students were randomly assigned to the IG and CG. After completing the training program over 2 months, students were evaluated by three independent examiners. Students and examiners were blind to group allocation and study outcome. Sensitivity and specificity of students' PoCUS gallstone diagnosis were assessed. Secondary outcomes were students' confidence, image quality, acquisition time, and PoCUS skills. RESULTS: Sensitivity and specificity for gallstone diagnosis were, respectively, 0.85 and 0.97 in the IG and 0.80 and 0.83 in the CG. Areas under the curve (AUC) based on the receiver operating characteristic curve analysis were 0.91 and 0.82 in the IG and CG, respectively, with no significant difference (p = 0.271) and an AUC difference of -0.092. No significant between-group difference was found for the secondary outcomes. CONCLUSIONS: Our pilot study showed that medical students can develop PoCUS diagnostic accuracy after training on healthy volunteers. If these findings are confirmed in a larger sample, this could favor the delivery of large practical teaching sessions without the need to include patients with pathology, thus facilitating PoCUS training for students.
ABSTRACT: Background: The assessment of cardiac output (CO) is a major challenge during shock. The criterion standard for CO evaluation is transpulmonary thermodilution, which is an invasive technique. Speckle tracking is an automatized method of analyzing tissue motion using echography. This tool can be used to monitor pulsed arterial diameter variations with low interobserver variability. An experimental model of controlled hemorrhagic shock allows for multiple CO variations. The main aim of this study is to show the correlation between the femoral arterial diameter variations (fADVs) and the stroke volume (SV) measured by thermodilution during hemorrhagic shock management and the resuscitation of anesthetized piglets. The secondary objective is to explore the respective correlations between SV and subaortic time-velocity index, abdominal aorta ADV, carotid ADV, and subclavian ADV. Methods : Piglets were bled until mean arterial pressure reached 40 mm Hg. Controlled hemorrhage was maintained for 30 minutes before randomizing the piglets to three resuscitation groups-the fluid-filling group (reanimated with saline solution only), NEph group (norepinephrine + saline solution), and Eph group (epinephrin + saline solution). Speckle tracking, echocardiographic, and hemodynamic measures were performed at different stages of the protocol. Results : Thirteen piglets were recruited and included for statistical analysis. Of all the piglets, 164 fADV measures were attempted and 160 were successful (98%). The correlation coefficient between fADV and SV was 0.71 (95% confidence interval [CI], 0.62 to 0.78; P < 0.01). The correlation coefficient between SV and abdominal aorta ADV, subclavian ADV, and carotid ADV was 0.30 (95% CI, 0.13 to 0.46; P < 0.01), 0.56 (95% CI, 0.45 to 0.66, P < 0.01), and 0.15 (95% CI, -0.01 to 0.30, P = 0.06), respectively. Conclusions : In this hemorrhagic shock model using piglets, fADV was strongly correlated with SV.
Shock, Hemorrhagic , Stroke Volume , Animals , Cardiac Output , Hemodynamics , Resuscitation , Saline Solution , Swine , Models, Animal , Arteries/anatomy & histology
BACKGROUND: Real-time ultrasound (US) guidance facilitates central venous catheterization in intensive care unit (ICU). New magnetic needle-pilot devices could improve efficiency and safety of central venous catheterization. This simulation trial was aimed at comparing venipuncture with a new needle-pilot device to conventional US technique. METHODS: In a prospective, randomized, simulation trial, 51 ICU physicians and residents cannulated the right axillary vein of a human torso mannequin with standard US guidance and with a needle-pilot system, in a randomized order. The primary outcome was the time from skin puncture to successful venous cannulation. The secondary outcomes were the number of skin punctures, the number of posterior wall puncture of the axillary vein, the number of arterial punctures, the number of needle redirections, the failure rate, and the operator comfort. RESULTS: Time to successful cannulation was shorter with needle-pilot US-guided technique (22 s (interquartile range (IQR) = 16-42) vs 25 s (IQR = 19-128); median of difference (MOD) = -9 s (95%-confidence interval (CI) -5, -22), p < 0.001). The rates of skin punctures, posterior wall puncture of axillary vein, and needle redirections were also lower (p < 0.01). Comfort was higher in needle-pilot US-guided group on a 11-points numeric scale (8 (IQR = 8-9) vs 6 (IQR = 6-8), p < 0.001). CONCLUSIONS: In a simulation model, US-guided axillary vein catheterization with a needle-pilot device was associated with a shorter time of successful cannulation and a decrease in numbers of skin punctures and complications. The results plea for investigating clinical performance of this new device.
Axillary Vein , Catheterization, Central Venous , Humans , Axillary Vein/diagnostic imaging , Prospective Studies , Ultrasonography, Interventional/methods , Ultrasonography
OBJECTIVES: Adverse drug events are the sixth-leading cause of death in Western countries and are also more frequent in emergency departments (EDs). In some hospitals or on some occasions, ED physicians prescribe for patients who they have admitted. These prescriptions are then followed by the wards and can persist for several days. Our objectives were to determine the frequency of prescription errors for patients over 18years old hospitalized from ED to medical or surgical wards, and whether there exists a relationship between those prescription errors and ED LOS. METHODS: This was a single center retrospective study that was conduct in the ED of a university hospital with an annual census of 65 000 patients. The population studied consisted of patients over 18years old hospitalized from ED to medical or surgical wards between January 1st, 2012 and January 21st, 2012. RESULTS: Six hundred eight patients were included. One hundred fifty-four (25%) patients had prescription errors. Prescription errors were associated with increased ED length of stay (OR=2.47; 95% CIs [1.58; 3.92]) and polypharmacy (OR=1.78; 95% CIs [1.20; 2.66]). Fewer prescription errors were found when the patient was examined in the ED by a consultant (OR=0.61; 95% CIs [0.41; 0.91]) and when the medical history was known (OR=0.28; 95% CIs [0.10; 0.88]). CONCLUSION: Prescription errors occurred frequently in the ED. We assume that a clear communication and cooperation between EPs and consultants may help improve prescription accuracy.
Importance: The extended Focused Assessment With Sonography for Trauma (E-FAST) has become a cornerstone of the diagnostic workup in patients with trauma. The added value of a diagnostic workup including an E-FAST to support decision-making remains unknown. Objective: To determine how often an immediate course of action adopted in the resuscitation room based on a diagnostic workup that included an E-FAST and before whole-body computed tomography scanning (WBCT) in patients with blunt trauma was appropriate. Design, Setting, and Participants: This cohort study was conducted at 6 French level I trauma centers between November 5, 2018, and November 5, 2019. Consecutive patients treated for blunt trauma were assessed at the participating centers. Data analysis took place in February 2022. Exposures: Diagnostic workup associating E-FAST (including abdominal, thoracic, pubic, and transcranial Doppler ultrasonography scan), systematic clinical examination, and chest and pelvic radiographs. Main Outcomes and Measures: The main outcome criterion was the appropriateness of the observed course of action (including abstention) in the resuscitation room according to evaluation by a masked expert panel. Results: Of 515 patients screened, 510 patients (99.0%) were included. Among the 510 patients included, 394 were men (77.3%), the median (IQR) age was 46 years (29-61 years), and the median (IQR) Injury Severity Score (ISS) was 24 (17-34). Based on the initial diagnostic workup, no immediate therapeutic action was deemed necessary in 233 cases (45.7%). Conversely, the following immediate therapeutic actions were initiated before WBCT: 6 emergency laparotomies (1.2%), 2 pelvic angioembolisations (0.4%), 52 pelvic binders (10.2%), 41 chest drains (8.0%) and 16 chest decompressions (3.1%), 60 osmotherapies (11.8%), and 6 thoracotomies (1.2%). To improve cerebral blood flow based on transcranial doppler recordings, norepinephrine was initiated in 108 cases (21.2%). In summary, the expert panel considered the course of action appropriate in 493 of 510 cases (96.7%; 95% CI, 94.7%-98.0%). Among the 17 cases (3.3%) with inappropriate course of action, 13 (76%) corresponded to a deviation from existing guidelines and 4 (24%) resulted from an erroneous interpretation of the E-FAST. Conclusions and Relevance: This prospective, multicenter cohort study found that a diagnostic resuscitation room workup for patients with blunt trauma that included E-FAST with clinical assessment and targeted chest and pelvic radiographs was associated with the determination of an appropriate course of action prior to WBCT.
Wounds, Nonpenetrating , Humans , Middle Aged , Cohort Studies , Prospective Studies , Wounds, Nonpenetrating/diagnostic imaging , Wounds, Nonpenetrating/therapy
BACKGROUND: Cardiac output (CO) monitoring is recommended in patients with shock. The search for a reliable, rapid, and noninvasive tool is necessary for clinical practice. A new echocardiographic CO flow index (COF) is the automatic calculation of the sub-aortic VTI multiplied by the automatic calculation of the heart rate (HR). The primary objective of this study was to show the correlation between COF and CO measured by thermodilution (COth) in a controlled hemorrhagic shock model in anesthetized piglets. Secondary objectives were to show the correlation between COth and CO calculated from left outflow tract (LVOT) measurement and manual VTI (COman), and CO measured by LVOT measurement and VTIauto (COauto). METHODS: Prospective interventional experimental study. In seventeen ventilated and anesthetized piglets, a state of hemorrhagic shock was induced, maintained, then resuscitated and stabilized. The gold standard for CO and stroke volume measurement was thermodilution (COth). RESULTS: 191 measurements were performed. The correlation coefficients (r) between COth and COF, COman, and COauto were 0.73 [0.62; 0.81], 0.66 [0.56; 0.74], and 0.73 [0.63; 0.81], respectively. CONCLUSIONS: In this study, the COF appears to have a strong correlation to the COth. This automatic index, which takes into account the HR and does not require the measurement of LVOT, could be a rapidly obtained index in clinical practice.
Background: Ultra-low dose computed tomography (ULD-CT) was shown to be a good alternative to digital radiographs in various locations. This study aimed to assess the diagnostic sensitivity and specificity of ULD-CT versus digital radiographs in patients consulting for extremity traumas in emergency room. Methods: Digital radiography and ULD-CT scan were performed in patients consulting at the emergency department (February-August 2018) for extremity traumas. Fracture detection was evaluated retrospectively by two blinded independent radiologists. Sensitivity and specificity were evaluated using best value comparator (BVC) and a Bayesian latent class model (LCM) approaches and clinical follow-up. Image quality, quality diagnostic and diagnostic confidence level were evaluated (Likert scale). The effective dose received was calculated. Results: Seventy-six consecutive patients (41 men, mean age: 35.2±13.2 years), with 31 wrists/hands and 45 ankles/feet traumas were managed by emergency physicians. According to clinical data, radiography had 3 false positive and 10 false negative examinations, and ULD-CT, 2 of each. Radiography and ULD-CT specificities were similar; sensitivities were lower for radiography, with BVC and Bayesian. With Bayesian, ULD-CT and radiography sensitivities were 90% (95% CI: 87-93%) and 76% (95% CI: 71-81%, P<0.0001) and specificities 96% (95% CI: 93-98%) and 93% (95% CI: 87-97%, P=0.84). The inter-observer agreement was higher for ULD-CT for all subjective indexes. The effective dose for ULD-CT and radiography was 0.84±0.14 and 0.58±0.27 µSv (P=0.002) for hand/wrist, and 1.50±0.32 and 1.44±0.78 µSv (P=NS) for foot/ankle. Conclusions: With an effective dose level close to radiography, ULD-CT showed better detection of extremities fractures in the emergency room and may allow treatment adaptation. Further studies need to be performed to assess impact of such examination in everyday practice. Trial Registration: ClinicalTrials.gov Identifier: NCT04832490.
BACKGROUND: Assessment of the volemic loss is a major challenge during the management of hemorrhagic shock. Echocardiography is an increasingly used noninvasive tool for hemodynamic assessment. In mechanically ventilated patients, some studies suggest that respiratory variations of mean subaortic time-velocity integral (∆VTI) would be predictive of fluid filling response. An experimental model of controlled hemorrhagic shock provides a precise approach to study correlation between blood volume and cardiac ultrasonographic parameters. OBJECTIVES: The main objective was to analyze the ∆VTI changes during hemorrhage in an anesthetized-piglet model of controlled hemorrhagic shock. The secondary objective was to evaluate ∆VTI during the resuscitation process after hemorrhage and other echocardiographic parameters changes during the whole protocol. METHODS: Twenty-four anesthetized and ventilated piglets were bled until mean arterial pressure reached 40 mm Hg. Controlled hemorrhage was maintained for 30 minutes before randomizing the piglets to two resuscitation groups: fluid filling group resuscitated with saline solution and noradrenaline group resuscitated with saline solution and noradrenaline. Echocardiography and hemodynamic measures, including pulsed pressure variations (PPV), were performed at different stages of the protocol. RESULTS: The correlation coefficient between ΔVTI and PPV with the volume of bleeding during the hemorrhagic phase were respectively 0.24 (95% confidence interval, 0.08-0.39; p < 0.01) and 0.57 (95% CI, 0.44-0.67; p < 0.01). Two parameters had a moderate correlation coefficient with hemorrhage volume (over 0.5): mean subaortic time-velocity index (VTI) and mitral annulus diastolic tissular velocity (E'). CONCLUSION: In this hemorrhagic shock model, ΔVTI had a low correlation with the volume of bleeding, but VTI and E' had a correlation with blood volume comparable to that of PPV.
Shock, Hemorrhagic , Animals , Echocardiography , Humans , Norepinephrine , Resuscitation/methods , Saline Solution , Shock, Hemorrhagic/diagnostic imaging , Shock, Hemorrhagic/therapy , Swine
A systematic literature review was carried out to assess the risk factors for readmission to the emergency department in people aged 75 and over. This review shows that certain socio-demographic factors (older age, male gender, not being single), certain underlying conditions (cardio-respiratory diseases, diabetes, cognitive impairment, cancer, depression), a recent history of falling, and impaired autonomy prior to admission are risk factors for readmission to the emergency department more than the cause of admission itself or its severity in people aged 75 and over. The best predictive score for readmission to the emergency department for elderly patients remains to be determined, as does the systematic identification of risk factors associated with specific management in the oldest at-risk group to reduce their readmission after a first visit to the emergency department.
Objetivos: La ecografía cardiopulmonar puede ser útil para diagnosticar insuficiencia cardiaca aguda (ICA). Se evaluó el rendimiento diagnóstico de un algoritmo basado en ecografía cardiopulmonar a la cabecera del paciente (POCUS) para el diagnóstico de ICA en pacientes que consultan en urgencias por disnea aguda. Método: Se evaluó prospectivamente una muestra de conveniencia de pacientes con disnea aguda en dos servicios de urgencias hospitalarios (SUH). El algoritmo POCUS incluía la ecografía pulmonar y tres mediciones ecocardiográficas realizadas en un plano apical de cuatro cámaras. Se midió el MAPSE (desplazamiento sistólico del plano del anillo mitral), doppler de flujo mitral y doppler tisular en el anillo mitral lateral. El diagnóstico final fue asignado por dos médicos ciegos entre sí y a los hallazgos ecográficos. Resultados: Se incluyeron 103 pacientes adultos, la edad media fue 73 (12) años, 51 (50%) mujeres. El diagnóstico final fue ICA en 42 (41%) pacientes. La concordancia entre asignadores fue buena para el diagnóstico de ICA (k = 0,82). El algoritmo asignó un diagnóstico en 76 (74%) pacientes, 57 (85%) estaban en ritmo sinusal. El rendimiento diagnóstico del algoritmo de los 76 pacientes categorizados mostró un área bajo la curva de 0,94 (IC 95%: 0,88-1,00), sensibilidad 96% (IC 95%: 78-100%), especificidad 93% (IC 95%: 8-98%), valor predictivo positivo 85% (IC 95%: 67-100%), valor predictivo negativo 98% (IC 95%: 88-100%). Conclusión: El rendimiento de un algoritmo basado en ecografía cardiopulmonar POCUS fue bueno para diagnosticar ICA en pacientes que consultan en urgencias por disnea aguda. (AU)
Objectives: Cardiopulmonary ultrasound imaging can be useful for diagnosing acute heart failure (AHF). We aimed to evaluate the diagnostic performance of an algorithm based on point-of-care ultrasound (POCUS) in patients coming to the emergency department with acute dyspnea. Material and methods: Prospective analysis of a convenience sample of patients with acute dyspnea in 2 hospital emergency departments. The POCUS algorithm included lung ultrasound findings and 3 echocardiographic measurements taken from an apical view of 4 chambers: mitral annular plane systolic excursion, Doppler mitral flow velocity, and tissue Doppler imaging of the lateral mitral annulus. The definitive diagnosis was made by 2 physicians blinded to the POCUS findings. Results: A total of 103 adult patients with a mean (SD) age of 73 (12) years were included; about half (51 patients) were women. Forty-two patients (41%) were finally diagnosed with AHF. Interindividual agreement on the physicians' diagnoses was good (k = 0.82). The POCUS algorithm assigned an AHF diagnosis to 76 patients (74%); 56 of them (85%) were in sinus rhythm. The diagnostic performance indicators for the algorithm were as follows: area under the receiver operating characteristic curve, 0.94 (95% CI, 0.88-1.00); sensitivity 96% (95% CI, 78%-100%); specificity, 93% (95% CI, 8%-98%); positive predictive value, 85% (95% CI, 67%-100%); negative predictive value, 98% (95% CI, 88%-100%). Conclusion: The POCUS-based algorithm for diagnosing AHF performed well in patients coming to the emergency department with acute dyspnea. (AU)
Humans , Male , Female , Young Adult , Adult , Middle Aged , Aged , Aged, 80 and over , Heart Failure/complications , Heart Failure/diagnostic imaging , Point-of-Care Systems , Dyspnea/diagnostic imaging , Dyspnea/etiology , Emergency Service, Hospital , France , Prospective Studies
OBJECTIVES: Cardiopulmonary ultrasound imaging can be useful for diagnosing acute heart failure (AHF). We aimed to evaluate the diagnostic performance of an algorithm based on point-of-care ultrasound (POCUS) in patients coming to the emergency department with acute dyspnea. MATERIAL AND METHODS: Prospective analysis of a convenience sample of patients with acute dyspnea in 2 hospital emergency departments. The POCUS algorithm included lung ultrasound findings and 3 echocardiographic measurements taken from an apical view of 4 chambers: mitral annular plane systolic excursion, Doppler mitral flow velocity, and tissue Doppler imaging of the lateral mitral annulus. The definitive diagnosis was made by 2 physicians blinded to the POCUS findings. RESULTS: A total of 103 adult patients with a mean (SD) age of 73 (12) years were included; about half (51 patients) were women. Forty-two patients (41%) were finally diagnosed with AHF. Interindividual agreement on the physicians' diagnoses was good (k = 0.82). The POCUS algorithm assigned an AHF diagnosis to 76 patients (74%); 56 of them (85%) were in sinus rhythm. The diagnostic performance indicators for the algorithm were as follows: area under the receiver operating characteristic curve, 0.94 (95% CI, 0.88-1.00); sensitivity 96% (95% CI, 78%-100%); specificity, 93% (95% CI, 8%-98%); positive predictive value, 85% (95% CI, 67%-100%); negative predictive value, 98% (95% CI, 88%-100%). CONCLUSION: The POCUS-based algorithm for diagnosing AHF performed well in patients coming to the emergency department with acute dyspnea.
OBJETIVO: La ecografía cardiopulmonar puede ser útil para diagnosticar insuficiencia cardiaca aguda (ICA). Se evaluó el rendimiento diagnóstico de un algoritmo basado en ecografía cardiopulmonar a la cabecera del paciente (POCUS) para el diagnóstico de ICA en pacientes que consultan en urgencias por disnea aguda. METODO: Se evaluó prospectivamente una muestra de conveniencia de pacientes con disnea aguda en dos servicios de urgencias hospitalarios (SUH). El algoritmo POCUS incluía la ecografía pulmonar y tres mediciones ecocardiográficas realizadas en un plano apical de cuatro cámaras. Se midió el MAPSE (desplazamiento sistólico del plano del anillo mitral), doppler de flujo mitral y doppler tisular en el anillo mitral lateral. El diagnóstico final fue asignado por dos médicos ciegos entre sí y a los hallazgos ecográficos. RESULTADOS: Se incluyeron 103 pacientes adultos, la edad media fue 73 (12) años, 51 (50%) mujeres. El diagnóstico final fue ICA en 42 (41%) pacientes. La concordancia entre asignadores fue buena para el diagnóstico de ICA (k = 0,82). El algoritmo asignó un diagnóstico en 76 (74%) pacientes, 57 (85%) estaban en ritmo sinusal. El rendimiento diagnóstico del algoritmo de los 76 pacientes categorizados mostró un área bajo la curva de 0,94 (IC 95%: 0,88-1,00), sensibilidad 96% (IC 95%: 78-100%), especificidad 93% (IC 95%: 8-98%), valor predictivo positivo 85% (IC 95%: 67-100%), valor predictivo negativo 98% (IC 95%: 88-100%). CONCLUSIONES: El rendimiento de un algoritmo basado en ecografía cardiopulmonar POCUS fue bueno para diagnosticar ICA en pacientes que consultan en urgencias por disnea aguda.
Heart Failure , Point-of-Care Systems , Adult , Aged , Algorithms , Dyspnea/diagnostic imaging , Dyspnea/etiology , Emergency Service, Hospital , Female , Heart Failure/complications , Heart Failure/diagnostic imaging , Humans , Ultrasonography
A systematic review of the literature was carried out to assess the risk factors for readmission to the emergency room in people aged 75 and over. This review shows that some socio-demographic factors (high age, male gender, not being single), some underlying conditions (cardio-respiratory diseases, diabetes, cognitive impairment, cancer, depression), a recent history of falling and an impaired autonomy before admission are risk factors for readmission to the emergency room more than the cause of admission itself or its severity in people aged 75 and over. It remains to determine the best predictive readmission score in the elderly and whether a systematic identification of risk factors associated with specific management in the at-risk oldest reduce their readmission after a first visit to the emergency room.
Geriatric Assessment , Patient Readmission , Aged , Emergency Service, Hospital , Hospitalization , Humans , Male , Risk Factors
