Analysis of the medical response to November 2015 Paris terrorist attacks: resource utilization according to the cause of injury.

PURPOSE: The majority of terrorist acts are carried out by explosion or shooting. The objective of this study was first, to describe the management implemented to treat a large number of casualties and their flow together with the injuries observed, and second, to compare these resources according to the mechanism of trauma. METHODS: This retrospective cohort study collected medical data from all casualties of the attacks on November 13th 2015 in Paris, France, with physical injuries, who arrived alive at any hospital within the first 24 h after the events. Casualties were divided into two groups: explosion injuries and gunshot wounds. RESULTS: 337 casualties were admitted to hospital, 286 (85%) from gunshot wounds and 51 (15%) from explosions. Gunshot casualties had more severe injuries and required more in-hospital resources than explosion casualties. Emergency surgery was required in 181 (54%) casualties and was more frequent for gunshot wounds than explosion injuries (57% vs. 35%, p < 0·01). The types of main surgery needed and their delay following hospital admission were as follows: orthopedic [n = 107 (57%); median 744 min]; general [n = 27 (15%); 90 min]; vascular [n = 19 (10%); median 53 min]; thoracic [n = 19 (10%); 646 min]; and neurosurgery [n = 4 (2%); 198 min]. CONCLUSION: The resources required to deal with a terrorist attack vary according to the mechanism of trauma. Our study provides a template to estimate the proportion of various types of surgical resources needed overall, as well as their time frame in a terrorist multisite and multitype attack. FUNDING: Assistance Publique-Hôpitaux de Paris.

Beat-by-beat assessment of cardiac afterload using descending aortic velocity-pressure loop during general anesthesia: a pilot study.

INTRODUCTION: Continuous cardiac afterload evaluation could represent a useful tool during general anesthesia (GA) to titrate vasopressor effect. Using beat to beat descending aortic pressure(P)/flow velocity(U) loop obtained from esophageal Doppler and femoral pressure signals might allow to track afterload changes. Methods We defined three angles characterizing the PU loop (alpha, beta and Global After-Load Angle (GALA)). Augmentation index (AIx) and total arterial compliance (Ctot) were measured via radial tonometry. Peripheral Vascular Resistances (PVR) were also calculated. Twenty patients were recruited and classified into low and high cardiovascular (CV) risk group. Vasopressors were administered, when baseline mean arterial pressure (MAP) fell by 20%. Results We studied 118 pairs of pre/post bolus measurements. At baseline, patients in the lower CV risk group had higher cardiac output (6.1 ± 1.7 vs 4.2 ± 0.6 L min; p = 0.005), higher Ctot (2.7 ± 1.0 vs 2.0 ± 0.4 ml/mmHg, p = 0.033), lower AIx and PVR (13 ± 10 vs 32 ± 11% and 1011 ± 318 vs 1390 ± 327 dyn s/cm5; p < 0.001 and p = 0.016, respectively) and lower GALA (41 ± 15 vs 68 ± 6°; p < 0.001). GALA was the only PU Loop parameter associated with Ctot, AIx and PVR. After vasopressors, MAP increase was associated with a decrease in Ctot, an increase in AIx and PVR and an increase in alpha, beta and GALA (p < 0.001 for all). Changes in GALA and Ctot after vasopressors were strongly associated (p = 0.004). Conclusions PU Loop assessment from routine invasive hemodynamic optimization management during GA and especially GALA parameter could monitor cardiac afterload continuously in anesthetized patients, and may help clinicians to titrate vasopressor therapy.

Velocity-pressure loops for continuous assessment of ventricular afterload: influence of pressure measurement site.

VPloop, the graphical representation of pressure versus velocity, and its characteristic angles, GALA and ß, can be used to monitor cardiac afterload during anesthesia. Ideally VPloop should be measured from pressure and velocity obtained at the same arterial location but standard of care usually provide either radial or femoral pressure waveforms. The purpose of this study was to look at the influence of arterial sites and the use of a transfer function (TF) on VPloop and its related angles. Invasive pressure signals were recorded in 25 patients undergoing neuroradiology intervention under general anesthesia with transesophageal flow velocity monitoring. Pressures were recorded in the descending thoracic aorta, abdominal aorta, femoral and radial arteries. We compared GALA and ß from VPloops generated from each location and in high and low risk patients. GALA was similar in the central locations (55°[49-63], 52°[47-61] and 54°[45-62] from descending thoracic to femoral artery, median[interquartile], p = 0.10), while there was a difference in ß angle (16°[4-27] to 8°[3-15], p < 0.0001). GALA and ß obtained from radial waveforms were different (39°[31-47] compared to 46°[36-54] and 6°[2-14] compared to 16°[4-27] for GALA and ß angles respectively, p < 0.001) which was corrected by the use of a TF (45°[32-55] and 17°[5-28], p = ns). GALA and ß are underestimated when measured with a radial catheter. Using pressure waveforms from femoral locations alters VPloops, GALA and ß in a smaller extend. The use of a TF on radial pressure allows to correctly plot VPloops and their characteristic angles for routine clinical use.

Combined Measurement of Soluble ST2 and Amino-Terminal Pro-B-Type Natriuretic Peptide Provides Early Assessment of Severity in Cardiogenic Shock Complicating Acute Coronary Syndrome.

OBJECTIVES: Mortality in cardiogenic shock complicating acute coronary syndrome is high, and objective risk stratification is needed for rational use of advanced therapies such as mechanical circulatory support. Traditionally, clinical variables have been used to judge risk in cardiogenic shock. The aim of this study was to assess the added value of serial measurement of soluble ST2 and amino-terminal pro-B-type natriuretic peptide to clinical parameters for risk stratification in cardiogenic shock. DESIGN: CardShock (www.clinicaltrials.gov NCT01374867) is a prospective European multinational study of cardiogenic shock. The main study introduced CardShock risk score, which is calculated from seven clinical variables at baseline, and was associated with short-term mortality. SETTING: Nine tertiary care university hospitals. PATIENTS: Patients with cardiogenic shock caused by acute coronary syndrome (n=145). INTERVENTIONS: In this substudy, plasma samples from the study patients were analyzed at eight time points during the ICU or cardiac care unit stay. Additional prognostic value of the biomarkers was assessed with incremental discrimination improvement. MEASUREMENTS AND MAIN RESULTS: The combination of soluble ST2 and amino-terminal pro-B-type natriuretic peptide showed excellent discrimination for 30-day mortality (area under the curve, 0.77 at 12 hr up to 0.93 at 5-10 d after cardiogenic shock onset). At 12 hours, patients with both biomarkers elevated (soluble ST2, ≥ 500 ng/mL and amino-terminal pro-B-type natriuretic peptide, ≥ 4,500 ng/L) had higher 30-day mortality (79%) compared to those with one or neither biomarkers elevated (31% or 10%, respectively; p < 0.001). Combined measurement of soluble ST2 and amino-terminal pro-B-type natriuretic peptide at 12 hours added value to CardShock risk score, correctly reclassifying 11% of patients. CONCLUSIONS: The combination of results for soluble ST2 and amino-terminal pro-B-type natriuretic peptide provides early risk assessment beyond clinical variables in patients with acute coronary syndrome-related cardiogenic shock and may help therapeutic decision making in these patients.

Influence of Fraction of Inspired Oxygen on Noninvasive Hemoglobin Measurement: Parallel Assessment of 2 Monitors.

BACKGROUND: Previous reports have brought specific attention to the relationship between oxygenation of the patient and the accuracy of noninvasive measurement of hemoglobin (Hb) using an optical sensor. This study aimed to assess prospectively the relationship between fraction of inspired oxygen (FIO2) and the bias of the measurement of Hb by the use of 2 different noninvasive monitors compared with the classic invasive technique. METHODS: Forty-four patients were included prospectively. In each individual, Hb level was determined noninvasively by monitor Pronto-7™ (Masimo Corporation, Irvine, CA) and by monitor NBM-200MP™ (OrSense Ltd, Petah-Tikva, Israel), with the probe placed on 2 fingers on the same hand of the patient. Three measures were performed, first under breathing air and 2 others when fraction of expired oxygen rose to 50% ± 5% and to 90 ± 5%. Simultaneously, a nurse collected a venous blood sample, which was sent immediately to the hematology laboratory for Hb measurement. The main outcome measurement was the mean bias between noninvasive and invasive measurements. RESULTS: Results show no change in median bias [interquartile range] with FIO2 for Pronto-7 (from 1.1 g/dL [0.0-2.0] in FIO2 21% to 1.0 g/dL [0.2-1.5] in FIO2 100%), but increasingly negative median bias with increasing FIO2 for NBM-200MP (from -0.3 g/dL [-1.3 to 0.3] in FIO2 21% to -0.8 g/dL [-1.5 to -0.1] in FIO2 100%, P = .04). DISCUSSION: This study showed that noninvasive measurement of Hb could be influenced by inspired fraction of oxygen when the monitor NBM-200MP is used.

Comparison between visual grading and planimetric quantification of microvascular obstruction extent assessment in reperfused acute myocardial infarction.

OBJECTIVES: Current methods for infarct size and microvascular obstruction (MVO) quantification by cardiac magnetic resonance (CMR) imaging rely on planimetry. This method is time-consuming. We sought to evaluate a direct assessment of MVO severity based on visual evaluation and to compare it to a reference method. METHODS: CMR was performed in 112 consecutive patients after reperfused myocardial infarction. MVO was estimated by direct visual assessment based on a three-grade severity scale (MVO 1, mild; MVO 2, moderate; MVO 3, severe) on late gadolinium-enhancement (LGE). RESULTS: MVO was present in 69 patients (61.6 %). Quantitative MVO extent significantly increased accordingly to visual MVO grading (p < 0.01). Correlation between visual grading and quantitative assessment was excellent (r = 0.92, IQR 0.88-0.95, p < 0.001). CMR inter- and intraobserver variability for visual MVO evaluation was low (κ = 0.93 and κ = 0.96, respectively), whereas quantitative MVO assessment suffered from moderate agreement (interobserver, bias = -0.81 ± 1.8 g LV; intraobserver, -0.83 ± 2.1 g LV). Visual evaluation was significantly faster than reference method (0.65 ± 0.37 vs. 10.2 ± 2.9 min, p < 0.0001). CONCLUSIONS: MVO severity based on direct visual assessment on LGE images is feasible, rapid, reproducible and agrees very well with quantitative methods, with a very low inter- and intraobserver variability. Our approach could be used for routine evaluation in patients undergoing CMR after acute myocardial infarction. KEY POINTS: • Microvascular obstruction direct visual evaluation is feasible, rapid and highly reproducible. • Microvascular obstruction direct visual evaluation correlates well with quantification by planimetry. • Microvascular obstruction or no-reflow phenomenon is determined on late gadolinium-enhanced images. • Cardiac MRI is useful for myocardial damage assessment after myocardial infarction.

Assessment of dyspnoea in the emergency department by numeric and visual scales: A pilot study.

OBJECTIVE(S): Dyspnoea is a common and often debilitating symptom that affects up to 50% of patients admitted to acute tertiary care hospitals. The primary purpose of this study was to compare the numeric rating scale (NRS) and the visual analogue scale (VAS) for dyspnoea evaluation in the ED setting. STUDY DESIGN AND PATIENTS: This was a cohort study of patients admitted to the ED in a university hospital, with dyspnoea as the chief complaint. METHODS: The agreement of the two dyspnoea scales was assessed using the intraclass correlation coefficient (ICC). RESULTS: One hundred and seventeen patients were included in this analysis. The median age for the whole study population was 67 years and 42% of patients were male. The aetiology of dyspnoea was acute heart failure (AHF) in 35% of patients. There was good agreement between the two scores (ICC=0.795; 95% CI=0.717-0.853; P<0.001). CONCLUSIONS: This pilot study demonstrated that numerical rating and visual analogue scales agree well when assessing the severity of dyspnoea in the ED. Further studies with larger cohorts of patients are needed to confirm these preliminary results.

Within-center matching performed better when using propensity score matching to analyze multicenter survival data: empirical and Monte Carlo studies.

OBJECTIVE: Propensity score (PS) methods are applied frequently to multicenter data. To date, methods for handling cluster effect when analyzing PS-matched data have not been assessed for survival data. Accordingly, the objective of the present study was to determine the optimal PS-model to account for a potential cluster effect when analysing multicenter observational data. STUDY DESIGN AND SETTING: In the current study, five strategies were compared. One analyzed the original sample and four used global or within-cluster matching using a global or a cluster-specific PS. All were applied to simulated data sets and to two cohorts. RESULTS: Failing to account for clustering in the PS model led to a biased estimate of the treatment effect and to an inflated test size. Within-cluster matching using either a global or a cluster-specific PS led to the lowest mean squared error and to a test size close to its nominal value. However, the cluster-specific approach led to a drastic reduction of sample size compared with the global PS one. Analyses of the cohorts confirmed that the latter model led to the smallest sample size, but also necessitated the discard of a high number of clusters from the matched sample. CONCLUSION: In the considered simulation scenarios, within-cluster matching using a global PS presented the best balance between sample size and bias reduction, and it should be used when applying PS methods to clustered observational survival data.

Bicuspid aortic valve: inter-racial difference in frequency and aortic dimensions.

OBJECTIVES: The objective of this study was to examine the similarities and differences in Caucasian (C) and African-American (AA) patients with bicuspid aortic valve (BAV) with respect to morphology, severity of aortic stenosis/insufficiency, and aortic dilation. BACKGROUND: BAV is a common congenital valve abnormality, accounting for a large number of valve replacements. METHODS: A total of 229 patients with the diagnostic code BAV were identified retrospectively from our computerized adult echocardiographic database, which consists of 91,896 studies performed at the University of Chicago Medical Center from 1998 to 2009, representing 40,878 patients. Of those, 183 patients with BAV were included in this retrospective BAV single-center cohort study and reanalyzed with a comprehensive assessment of aortic dimensions, aortic valve morphology and function, clinical cardiovascular risk factors, and patient characteristics. RESULTS: Of the 183 patients with BAV, 138 were C and 45 were AA. Our echocardiographic database encompasses approximately 65% AA, 31% C, and 4% other races, for an estimated frequency of BAV in AA patients of 0.17% and a frequency in C patients of 1.1% (p = 0.001). There were no significant inter-racial differences regarding sex, height, weight, hyperlipidemia, diabetes, tobacco use, cardiac medications, and left ventricular ejection fraction. The AA cohort was older (age 50 ± 17 years vs. 43 ± 17 years, p < 0.05) and had a higher prevalence of hypertension (51% vs. 24%, p < 0.05). After adjusting for comorbidities, aortic dimensions were larger in C (C vs. AA: annulus, 2.4 ± 0.4 vs. 2.1 ± 0.4 cm; sinuses of Valsalva, 3.4 ± 0.7 vs. 3.1 ± 0.6 cm; sinotubular junction, 3.0 ± 0.6 vs. 2.6 ± 0.5 cm; and ascending aorta, 3.5 ± 0.7 vs. 3.2 ± 0.5 cm; all p values <0.05). CONCLUSIONS: This is the first study to report racial differences among patients with BAV with reduced aortic dimensions in AA patients despite the presence of more risk factors, suggestive of marked heterogeneity in the BAV population and indicating race as a potential disease modifier in BAV.

Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study.

Propensity score methods are increasingly used in medical literature to estimate treatment effect using data from observational studies. Despite many papers on propensity score analysis, few have focused on the analysis of survival data. Even within the framework of the popular proportional hazard model, the choice among marginal, stratified or adjusted models remains unclear. A Monte Carlo simulation study was used to compare the performance of several survival models to estimate both marginal and conditional treatment effects. The impact of accounting or not for pairing when analysing propensity-score-matched survival data was assessed. In addition, the influence of unmeasured confounders was investigated. After matching on the propensity score, both marginal and conditional treatment effects could be reliably estimated. Ignoring the paired structure of the data led to an increased test size due to an overestimated variance of the treatment effect. Among the various survival models considered, stratified models systematically showed poorer performance. Omitting a covariate in the propensity score model led to a biased estimation of treatment effect, but replacement of the unmeasured confounder by a correlated one allowed a marked decrease in this bias. Our study showed that propensity scores applied to survival data can lead to unbiased estimation of both marginal and conditional treatment effect, when marginal and adjusted Cox models are used. In all cases, it is necessary to account for pairing when analysing propensity-score-matched data, using a robust estimator of the variance.

Non-invasive measurement of hemoglobin: assessment of two different point-of-care technologies.

BACKGROUND: Measurement of blood hemoglobin (Hb) concentration is a routine procedure. Using a non-invasive point-of-care device reduces pain and discomfort for the patient and allows time saving in patient care. The aims of the present study were to assess the concordance of Hb levels obtained non-invasively with the Pronto-7 monitor (version 2.1.9, Masimo Corporation, Irvine, USA) or with the NBM-200MP monitor (Orsense, Nes Ziona, Israel) and the values obtained from the usual colorimetric method using blood samples and to determine the source of discordance. METHODS AND FINDINGS: We conducted two consecutive prospective open trials enrolling patients presenting in the emergency department of a university hospital. The first was designed to assess Pronto-7™ and the second NBM-200MP™. In each study, the main outcome measure was the agreement between both methods. Independent factors associated with the bias were determined using multiple linear regression. Three hundred patients were prospectively enrolled in each study. For Pronto-7™, the absolute mean difference was 0.56 g.L(-1) (95% confidence interval [CI] 0.41 to 0.69) with an upper agreement limit at 2.94 g.L(-1) (95% CI [2.70;3.19]), a lower agreement limit at -1.84 g.L(-1) (95% CI [-2.08;-1.58]) and an intra-class correlation coefficient at 0.80 (95% CI [0.74;0.84]). The corresponding values for the NBM-200MP™ were 0.21 [0.02;0.39], 3.42 [3.10;3.74], -3.01 [-3.32;-2.69] and 0.69 [0.62;0.75]. Multivariate analysis showed that age and laboratory values of hemoglobin were independently associated with the bias when using Pronto-7™, while perfusion index and laboratory value of hemoglobin were independently associated with the bias when using NBM-200MP™. CONCLUSION: Despite a relatively limited bias in both cases, the large limits of agreement found in both cases render the clinical usefulness of such devices debatable. For both devices, the bias is independently and inversely associated with the true value of hemoglobin. TRIAL REGISTRATION: ClinicalTrials.gov NCT01321580 and NCT01321593.