A guide to the BRAIN Initiative Cell Census Network data ecosystem.

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate (NHP) brains. Here, we provide a guide to the cellular and spatial approaches employed by the BICCN, and to accessing and using these data and extensive resources, including the BRAIN Cell Data Center (BCDC), which serves to manage and integrate data across the ecosystem. We illustrate the power of the BICCN data ecosystem through vignettes highlighting several BICCN analysis and visualization tools. Finally, we present emerging standards that have been developed or adopted toward Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience. The combined BICCN ecosystem provides a comprehensive resource for the exploration and analysis of cell types in the brain.

[Inappropriate admissions of Ehpad residents to emergency departments]. / Admissions inappropriées des résidents d'Ehpad aux urgences.

After a review of inappropriate admissions of residents of residential care facilities for the dependent elderly (Ehpad) to the emergency room, we propose ways to reduce them. They include giving the coordinating physician a clinical role, organizing continuity and permanence of care in all Ehpad, signing agreements between Ehpad and hospital for direct hospitalization and collaboration with mobile teams and geriatric hotlines, generalizing the level of medical intervention in Ehpad, and deepening the training of Ehpad caregivers in geriatrics.

Septic patients without obvious signs of infection at baseline are more likely to die in the ICU.

OBJECTIVE: Early identification of sepsis is mandatory. However, clinical presentation is sometimes misleading given the lack of infection signs. The objective of the study was to evaluate the impact on the 28-day mortality of the so-called "vague" presentation of sepsis. DESIGN: Single centre retrospective observational study. SETTING: One teaching hospital Intensive Care Unit. SUBJECTS: All the patients who presented at the Emergency Department (ED) and were thereafter admitted to the Intensive Care Unit (ICU) with a final diagnosis of sepsis were included in this retrospective observational three-year study. They were classified as having exhibited either "vague" or explicit presentation at the ED according to previously suggested criteria. Baseline characteristics, infection main features and sepsis management were compared. The impact of a vague presentation on 28-day mortality was then evaluated. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 348 included patients, 103 (29.6%) had a vague sepsis presentation. Underlying chronic diseases were more likely in those patients [e.g., peripheral arterial occlusive disease: adjusted odd ratio (aOR) = 2.01, (1.08-3.77) 95% confidence interval (CI); p = 0.028], but organ failure was less likely at the ED [SOFA score value: 4.7 (3.2) vs. 5.2 (3.1), p = 0.09]. In contrast, 28-day mortality was higher in the vague presentation group (40.8% vs. 26.9%, p = 0.011), along with longer time-to-diagnosis [18 (31) vs. 4 (11) h, p < 0.001], time-to-antibiotics [20 (32) vs. 7 (12) h, p < 0.001] and time to ICU admission [71 (159) vs. 24 (69) h, p < 0.001]. Whatever, such a vague presentation independently predicted 28-day mortality [aOR = 2.14 (1.24-3.68) 95% CI; p = 0.006]. CONCLUSIONS: Almost one third of septic patient requiring ICU had a vague presentation at the ED. Despite an apparent lower level of severity when initially assessed, those patients had an increased risk of mortality that could not be fully explained by delayed diagnosis and management of sepsis.

[EDS and diagnosis of cardiogenic pulmonary oedema]. / SAU et diagnostic de l'œdème pulmonaire cardiogénique.

Acute cardiogenic pulmonary oedema in the elderly does not differ fundamentally from that seen in the young patient. Appropriate pathways must be established, with regular nursing follow-up, to enable rapid detection and treatment of episodes of acute heart failure. The paramedical team plays an essential role in liaising with families, providing nursing care and listening to the patient at the bedside.

Impact of emergency physician experience on decision-making in patients with suspected community-acquired pneumonia and undergoing systematic thoracic CT scan.

OBJECTIVES: To determine whether the impact of a thoracic CT scan on community-acquired pneumonia (CAP) diagnosis and patient management varies according to emergency physician's experience (≤10 vs >10 years). METHODS: Early thoracic CT Scan for Community-Acquired Pneumonia at the Emergency Department is an interventional study conducted from November 2011 to January 2013 in four French emergency departments, and included suspected patients with CAP. We analysed changes in emergency physician CAP diagnosis classification levels before and after CT scan; and their agreement with an adjudication committee. We performed univariate analysis to determine the factors associated with modifying the diagnosis classification level to be consistent with the radiologist's CT scan interpretation. RESULTS: 319 suspected patients with CAP and 136 emergency physicians (75% less experienced with ≤10 years, 25% with >10 years of experience) were included. The percentage of patients whose classification was modified to become consistent with CT scan radiologist's interpretation was higher among less-experienced than experienced emergency physicians (54.2% vs 40.2%; p=0.02). In univariate analysis, less emergency physician experience was the only factor associated with changing a classification to be consistent with the CT scan radiologist's interpretation (OR 1.77, 95% CI 1.01 to 3.10, p=0.04). After CT scan, the agreement between emergency physicians and adjudication committee was moderate for less-experienced emergency physicians and slight for experienced emergency physicians (k=0.457 and k=0.196, respectively). After CT scan, less-experienced emergency physicians modified patient management significantly more than experienced emergency physicians (36.1% vs 21.7%, p=0.01). CONCLUSIONS: In clinical practice, less-experienced emergency physicians were more likely to accurately modify their CAP diagnosis and patient management based on thoracic CT scan than more experienced emergency physicians. TRIAL REGISTRATION NUMBER: NCT01574066.

High heterogeneity in community-acquired pneumonia inclusion criteria: does this impact on the validity of the results of randomized controlled trials?

BACKGROUND: There is no consensus on the most accurate combination of diagnostic criteria to define community acquired pneumonia (CAP). We describe inclusion criteria in randomized controlled trials (RCT) of CAP and assess their performance for the diagnosis of formally identified CAP. METHODS: RCTs related to CAP recorded on ClinicalTrials.gov were analysed. Due to high heterogeneity, we divided close CAP inclusion criteria into patterns (i.e. combinations of inclusion criteria). To assess their diagnostic performances, these CAP definition patterns were applied to a reference population of 319 suspected CAP patients, in whom the CAP diagnosis had been confirmed (n = 163) or excluded (n = 156) by an adjudication committee after a systematic thoracic CT-scan and a 28-day follow-up period. RESULTS: In the 47 RCTs included in the analysis, 42 different CAP inclusion criteria combinations were identified and 8 patterns created. This heterogeneity was not explained either by the trials' methodology or by their objectives. When applied to the reference population, the performance ranges of the 8 definition patterns were 9.8-56.4% for sensitivities, 56.4 97.4% for specificities, 63.6 83.6% for positive predictive values and 50.8-66.7% for negative predictive values. None of the CAP definitions had both sensitivity and specificity superior to 65%. Depending on the CAP definition, the rate of included patients without CAP ("false positives") ranged from 1 to 21%. CONCLUSIONS: CAP diagnostic criteria within RCTs are heterogeneous, which may have far-reaching consequences on validity of RCT results.

Prognostic value of PCT, copeptin, MR-proADM, MR-proANP and CT-proET-1 for severe acute dyspnea in the emergency department: the BIODINER study.

CONTEXT: Acute dyspnea is a frequent complaint in patients attending the emergency department (ED). OBJECTIVE: To evaluate the accuracy of PCT, MR-proANP, MR-proADM, copeptin and CT-proET1 for the risk-stratification of severe acute dyspnea patients presenting to the ED. METHODS: Multicenter prospective study in adult patients with a chief complaint of acute dyspnea. Pro-hormone type biomarkers concentrations were measured on arrival. Combined primary endpoint was a poor outcome. RESULTS: Three hundred and ninety-four patients were included, 137 (35%) met the primary endpoint. MR-proADM was the only biomarker associated with the primary endpoint (odds ratio 1.43 [95%CI: 1.13-1.82], p = 0.003) as were the presence of paradoxical abdominal breathing (odds ratio 2.48 [95%CI: 1.31-4.68]) or cyanosis (odds ratio 3.18 [1.46-6.89]) Conclusions: In patients with severe acute dyspnea in the ED, pro-hormone type biomarkers measurements have a low added value to clinical signs for the prediction of poor outcome.

Early Chest Computed Tomography Scan to Assist Diagnosis and Guide Treatment Decision for Suspected Community-acquired Pneumonia.

RATIONALE: Clinical decision making relative to community-acquired pneumonia (CAP) diagnosis is difficult. Chest radiograph is key in establishing parenchymal lung involvement. However, radiologic performance may lead to misdiagnosis, rendering questionable the use of chest computed tomography (CT) scan in patients with clinically suspected CAP. OBJECTIVES: To assess whether early multidetector chest CT scan affects diagnosis and management of patients visiting the emergency department with suspected CAP. METHODS: A total of 319 prospectively enrolled patients with clinically suspected CAP underwent multidetector chest CT scan within 4 hours. CAP diagnosis probability (definite, probable, possible, or excluded) and therapeutic plans (antibiotic initiation/discontinuation, hospitalization/discharge) were established by emergency physicians before and after CT scan results. The adjudication committee established the final CAP classification on Day 28. MEASUREMENTS AND MAIN RESULTS: Chest radiograph revealed a parenchymal infiltrate in 188 patients. CAP was initially classified as definite in 143 patients (44.8%), probable or possible in 172 (53.8%), and excluded in 4 (1.2%). CT scan revealed a parenchymal infiltrate in 40 (33%) of the patients without infiltrate on chest radiograph and excluded CAP in 56 (29.8%) of the 188 with parenchymal infiltrate on radiograph. CT scan modified classification in 187 (58.6%; 95% confidence interval, 53.2-64.0), leading to 50.8% definite CAP and 28.8% excluded CAP, and 80% of modifications were in accordance with adjudication committee classification. Because of CT scan, antibiotics were initiated in 51 (16%) and discontinued in 29 (9%), and hospitalization was decided in 22 and discharge in 23. CONCLUSIONS: In CAP-suspected patients visiting the emergency unit, early CT scan findings complementary to chest radiograph markedly affect both diagnosis and clinical management. Clinical trial registered with www.clinicaltrials.gov (NCT 01574066).

Can transcutaneous carbon dioxide pressure be a surrogate of blood gas samples for spontaneously breathing emergency patients? The ERNESTO experience.

BACKGROUND: It is known that the arterial carbon dioxide pressure (PaCO2) is useful for emergency physicians to assess the severity of dyspnoeic spontaneously breathing patients. Transcutaneous carbon dioxide pressure (PtcCO2) measurements could be a non-invasive alternative to PaCO2 measurements obtained by blood gas samples, as suggested in previous studies. This study evaluates the reliability of a new device in the emergency department (ED). METHODS: We prospectively included patients presenting to the ED with respiratory distress who were breathing spontaneously or under non-invasive ventilation. We simultaneously performed arterial blood gas measurements and measurement of PtcCO2 using a sensor placed either on the forearm or the side of the chest and connected to the TCM4 CombiM device. The agreement between PaCO2 and PtcCO2 was assessed using the Bland-Altman method. RESULTS: Sixty-seven spontaneously breathing patients were prospectively included (mean age 70 years, 52% men) and 64 first measurements of PtcCO2 (out of 67) were analysed out of the 97 performed. Nineteen patients (28%) had pneumonia, 19 (28%) had acute heart failure and 19 (28%) had an exacerbation of chronic obstructive pulmonary disease. Mean PaCO2 was 49 mm Hg (range 22-103). The mean difference between PaCO2 and PtcCO2 was 9 mm Hg (range -47 to +54) with 95% limits of agreement of -21.8 mm Hg and 39.7 mm Hg. Only 36.3% of the measurement differences were within 5 mm Hg. CONCLUSIONS: Our results show that PtcCO2 measured by the TCM4 device could not replace PaCO2 obtained by arterial blood gas analysis.

Diagnostic accuracy of C-reactive protein and procalcitonin in suspected community-acquired pneumonia adults visiting emergency department and having a systematic thoracic CT scan.

INTRODUCTION: Community-acquired pneumonia (CAP) requires prompt treatment, but its diagnosis is complex. Improvement of bacterial CAP diagnosis by biomarkers has been evaluated using chest X-ray infiltrate as the CAP gold standard, producing conflicting results. We analyzed the diagnostic accuracy of biomarkers in suspected CAP adults visiting emergency departments for whom CAP diagnosis was established by an adjudication committee which founded its judgment on a systematic multidetector thoracic CT scan. METHODS: In an ancillary study of a multi-center prospective study evaluating the impact of systematic thoracic CT scan on CAP diagnosis, sensitivity and specificity of C-reactive protein (CRP) and procalcitonin (PCT) were evaluated. Systematic nasopharyngeal multiplex respiratory virus PCR was performed at inclusion. An adjudication committee classified CAP diagnostic probability on a 4-level Likert scale, based on all available data. RESULTS: Two hundred patients with suspected CAP were analyzed. The adjudication committee classified 98 patients (49.0 %) as definite CAP, 8 (4.0 %) as probable, 23 (11.5 %) as possible and excluded in 71 (35.5 %, including 29 patients with pulmonary infiltrates on chest X-ray). Among patients with radiological pulmonary infiltrate, 23 % were finally classified as excluded. Viruses were identified by PCR in 29 % of patients classified as definite. Area under the curve was 0.787 [95 % confidence interval (95 % CI), 0.717 to 0.857] for CRP and 0.655 (95 % CI, 0.570 to 0.739) for PCT to detect definite CAP. CRP threshold at 50 mg/L resulted in a positive predictive value of 0.76 and a negative predictive value of 0.75. No PCT cut-off resulted in satisfactory positive or negative predictive values. CRP and PCT accuracy was not improved by exclusion of the 25 (25.5 %) definite viral CAP cases. CONCLUSIONS: For patients with suspected CAP visiting emergency departments, diagnostic accuracy of CRP and PCT are insufficient to confirm the CAP diagnosis established using a gold standard that includes thoracic CT scan. Diagnostic accuracy of these biomarkers is also insufficient to distinguish bacterial CAP from viral CAP. TRIAL REGISTRATION: ClinicalTrials.gov registry NCT01574066 (February 7, 2012).

Cross-checking to reduce adverse events resulting from medical errors in the emergency department: study protocol of the CHARMED cluster randomized study.

BACKGROUND: Medical errors and preventable adverse events are a major cause of concern, especially in the emergency department (ED) where its prevalence has been reported to be roughly of 5-10% of visits. Due to a short length of stay, emergency patients are often managed by a sole physician - in contrast with other specialties where they can benefit from multiples handover, ward rounds and staff meetings. As some studies report that the rate and severity of errors may decrease when there is more than one physician involved in the management in different settings, we sought to assess the impact of regular systematic cross-checkings between physicians in the ED. DESIGN: The CHARMED (Cross-checking to reduce adverse events resulting from medical errors in the emergency department) study is a multicenter cluster randomized study that aim to evaluate the reduction of the rate of severe medical errors with implementation of systematic cross checkings between emergency physician, compared to a control period with usual care. This study will evaluate the effect of this intervention on the rate of severe medical errors (i.e. preventable adverse events or near miss) using a previously described two-level chart abstraction. We made the hypothesis that implementing frequent and systematic cross checking will reduce the rate of severe medical errors from 10 to 6% - 1584 patients will be included, 140 for each period in each center. DISCUSSION: The CHARMED study will be the largest study that analyse unselected ED charts for medical errors. This could provide evidence that frequent systematic cross-checking will reduce the incidence of severe medical errors. TRIAL REGISTRATION: Clinical Trials, NCT02356926.

Clevidipine in acute heart failure: Results of the A Study of Blood Pressure Control in Acute Heart Failure-A Pilot Study (PRONTO).

BACKGROUND: Rapid blood pressure (BP) control improves dyspnea in hypertensive acute heart failure (AHF). Although effective antihypertensives, calcium-channel blockers are poorly studied in AHF. Clevidipine is a rapidly acting, arterial selective intravenous calcium-channel blocker. Our purpose was to determine the efficacy and safety of clevidipine vs standard-of-care intravenous antihypertensive therapy (SOC) in hypertensive AHF. METHODS: This is a randomized, open-label, active control study of clevidipine vs SOC in emergency department patients with AHF having systolic BP ≥160 mm Hg and dyspnea ≥50 on a 100-mm visual analog scale (VAS). Coprimary end points were median time to, and percent attaining, a systolic BP within a prespecified target BP range (TBPR) at 30 minutes. Dyspnea reduction was the main secondary end point. RESULTS: Of 104 patients (mean [SD] age 61 [14.9] years, 52% female, 80% African American), 51 received clevidipine and 53 received SOC. Baseline mean (SD) systolic BP and VAS dyspnea were 186.5 (23.4) mm Hg and 64.8 (19.6) mm. More clevidipine patients (71%) reached TBPR than did those receiving SOC (37%; P = .002), and clevidipine was faster to TBPR (P = .0006). At 45 minutes, clevidipine patients had greater mean (SD) VAS dyspnea improvement than did SOC patients (-37 [20.9] vs -28 mm [21.7], P = .02), a difference that remained significant up to 3 hours. Serious adverse events (24% vs 19%) and 30-day mortality (3 vs 2) were similar between clevedipine and SOC, respectively, and there were no deaths during study drug administration. CONCLUSIONS: In hypertensive AHF, clevidipine safely and rapidly reduces BP and improves dyspnea more effectively than SOC.

The evolution of lung computed tomography findings in COVID-19 from 2020 to 2023: more signs of co-infection.

Significant changes were observed in the lung imaging of hospitalised COVID-19 patients from 2020 to 2023, with the emergence of more signs of co-infection https://bit.ly/3TaQlJ2.

Association between age older than 75 years and exceeded target waiting times in the emergency department: a multicenter cross-sectional survey in the Paris metropolitan area, France.

STUDY OBJECTIVE: We seek to evaluate whether age greater than 75 years is an independent predictor of prolonged waiting time in the emergency department (ED). METHODS: We retrospectively analyzed all adult attendances to 9 EDs within the Paris area during 2011. The primary endpoint was target waiting time exceeded, defined as a waiting time for medical assessment longer than the maximal recommended waiting time according to triage level. To assess our primary objective, we performed logistic regression using patient- and ED-related variables to determine whether age greater than 75 years was independently associated with higher rate of target waiting time exceeded. RESULTS: A total of 317,793 patients were included, of whom 173,629 (55%) had an exceeded target waiting time. Mean age was 45.8 years and 12.7% were older than 75 years. Target waiting time was exceeded for 55% of patients: 53% for patients younger than 75 years (95% confidence interval [CI] 53% to 54%) versus 64% for older patients (95% CI 63% to 65%), relative risk 1.20. In the multivariate analysis, age greater than 75 years was independently associated with an exceeded target waiting time (odds ratio [OR] 1.30; 95% CI 1.27 to 1.33). Other variables associated with exceeded target waiting time were triage level (OR 5.45 [95% CI 5.32 to 5.60] for triage level 2 versus triage level 4), high daily occupancy (OR 3.78 [95% CI 3.53 to 4.03]), day of the week (OR 1.12 [95% CI 1.09 to 1.14] for Monday), and time of the visit (OR 1.79 [95% CI 1.76 to 1.82] from 6 pm to 8 am). CONCLUSION: Patients older than 75 years are less likely to be seen within the target waiting time.

Factors associated with adverse events resulting from medical errors in the emergency department: two work better than one.

BACKGROUND: The Emergency Department (ED) is an environment at risk for medical errors. OBJECTIVE: Our aim was to determine the factors associated with the adverse events resulting from medical errors in the ED among patients who were admitted. METHODS: This was a prospective observational study. For a 1-month period, we included all ED patients who were subsequently admitted to the medical ward. Detection of medical errors was made by the admitting physician and then validated by two experts who reviewed all available data and medical charts pertaining to the patient's hospital stay, including the first review from the ward physician. Related adverse events resulting from medical errors were then classified by type and severity. Adverse events were defined as medical errors that needed an intervention or caused harm to the patient. Univariate analysis examined relationships between characteristics of both patients and physicians and the risk of adverse events. RESULTS: From 197 analyzed patients, 130 errors were detected, of these, 34 were categorized as adverse events among 19 patients (10%). Seventy-six percent of these were categorized as proficiency errors. The only factors associated with a lower risk of adverse events were the transition of care involving a handoff within the ED (0% vs. 19%; p = 0.03) and the involvement of a resident (junior doctor) in addition to the senior physician (37% vs. 67%; p < 0.01). CONCLUSIONS: In our study, the involvement of more than one physician was associated with a lower risk of adverse events.

Delayed diagnosis of pneumonia in the emergency department: factors associated and prognosis.

Introduction: Whether a delayed diagnosis of community-acquired pneumonia (CAP) in the emergency department (ED) is associated with worse outcome is uncertain. We sought factors associated with a delayed diagnosis of CAP in the ED and those associated with in-hospital mortality. Methods: Retrospective study including all inpatients admitted to an ED (Dijon University Hospital, France) from 1 January to 31 December 2019, and hospitalized with a diagnosis of CAP. Patients diagnosed with CAP in the ED (n = 361, early diagnosis) were compared with those diagnosed later, in the hospital ward, after the ED visit (n = 74, delayed diagnosis). Demographic, clinical, biological and radiological data were collected upon admission to the ED, as well as administered therapies and outcomes including in-hospital mortality. Results: 435 inpatients were included: 361 (83%) with an early and 74 (17%) with a delayed diagnosis. The latter less frequently required oxygen (54 vs. 77%; p < 0.001) and were less likely to have a quick-SOFA score ≥ 2 (20 vs. 32%; p = 0.056). Absence of chronic neurocognitive disorders, of dyspnea, and of radiological signs of pneumonia were independently associated with a delayed diagnosis. Patients with a delayed diagnosis less frequently received antibiotics in the ED (34 vs. 75%; p < 0.001). However, a delayed diagnosis was not associated with in-hospital mortality after adjusting on initial severity. Conclusion: Delayed diagnosis of pneumonia was associated with a less severe clinical presentation, lack of obvious signs of pneumonia on chest X-ray, and delayed antibiotics initiation, but was not associated with worse outcome.

Remote sensing-enabled machine learning for river water quality modeling under multidimensional uncertainty.

Two fundamental problems have inhibited progress in the simulation of river water quality under climate (and other) uncertainty: 1) insufficient data, and 2) the inability of existing models to account for the complexity of factors (e.g., hydro-climatic, basin characteristics, land use features) affecting river water quality. To address these concerns this study presents a technique for augmenting limited ground-based observations of water quality variables with remote-sensed surface reflectance data by leveraging a machine learning model capable of accommodating the multidimensionality of water quality influences. Total Suspended Solids (TSS) can serve as a surrogate for chemical and biological pollutants of concern in surface water bodies. Historically, TSS data collection in the United States has been limited to the location of water treatment plants where state or federal agencies conduct regularly-scheduled water sampling. Mathematical models relating riverine TSS concentration to the explanatory factors have therefore been limited and the relationships between climate extremes and water contamination events have not been effectively diagnosed. This paper presents a method to identify these issues by utilizing a Long Short-Term Memory Network (LSTM) model trained on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite reflectance data, which is calibrated to TSS data collected by the Ohio River Valley Water Sanitation Commission (ORSANCO). The methodology developed enables a thorough empirical analysis and data-driven algorithms able to account for spatial variability within the watershed and provide effective water quality prediction under uncertainty.

Acute heart failure in elderly patients admitted to the emergency department with acute dyspnea: a multimarker approach diagnostic study.

BACKGROUND AND IMPORTANCE: Diagnosing acute heart failure (AHF) is difficult in elderly patients presenting with acute dyspnea to the emergency department. OBJECTIVES: To assess the diagnostic accuracy of NT-proBNP, high-sensitivity cardiac troponin-I (Hs-cTnI), soluble ST2 (ST2), galectin-3 and CD146 alone and in combination for diagnosing AHF in elderly patients presenting with acute dyspnea to the emergency department. DESIGN, SETTINGS AND PARTICIPANTS: This was a prospective, multicenter study performed between September 2016 and January 2020, including elderly patients presenting with acute dyspnea to the emergency department of 6 French hospitals. INTERVENTION: Measurement of NT-proBNP, hs-cTnI, ST2, galectin-3 and CD146. OUTCOME MEASURE AND ANALYSIS: The reference standard, AHF, was adjudicated by two independent physicians based on ED and hospitalization clinical, biological (excluding biomarkers), radiological and echocardiography data (performed by a cardiologist in the cardiology department specifically for this study). Three exploratory methods (two using a cross-sectional approach with logistic regression and counting all biomarker combinations, and one using a sequential approach with gray zone optimizations) were applied to create comprehensive combinations of the 5 biomarkers for measuring diagnostic accuracy. MAIN RESULTS: Two hundred thirty-eight patients (median age of 85 years, IQR = 8) were analyzed, and 110 (46%) were diagnosed with AHF. The accuracies of NT-proBNP, CD146, hs-cTnI, galectin-3, and ST2 were 0.72 [95% confidence interval (CI) 0.66-0.77], 0.63 (95% CI 0.57-0.69), 0.59 (95% CI 0.53-0.65), 0.55 (95% CI 0.49-0.61) and 0.51 (95% CI 0.45-0.57), respectively. Regardless of the approach used or how the 5 biomarkers were combined, the best accuracy for diagnosing AHF (0.73, 95% CI 0.67-0.78) did not differ from that of NT-proBNP alone. CONCLUSION: In this study, NT-proBNP alone exhibited the best diagnostic accuracy for diagnosing AHF in elderly patients presenting with acute dyspnea to the emergency departments. None of the other biomarkers alone or combined improved the accuracy compared to NT-proBNP, which is the only biomarker to use in this setting.